[{"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: there were 9 kinds of sandwiches on the menu . unfortunately 5 of them had been sold out how many kinds of sandwiches do they actually provide now ?\n", "labels": "4", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-a6a8962910684797b884e12bb0f1dd19"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: brenda betty 's sister wanted to have 3 bracelets with star-shaped stones . she also bought 36 star-shaped stones from the local store and gave it to betty . how many star-shaped stones will there be in each of the bracelet betty makes for brenda ?\n", "labels": "12", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-d44b13298c6d4cec958701324724de31"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: the wings now need to be heated . if the oven is at 150 degrees and the required temperature is 546 degrees how many more degrees does the oven temperature need to increase ?\n", "labels": "396", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-521c2d1dd2d24db08c6f53606c5747f8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: ned gave away 13 of his video games to a friend . now ned has 6 games . how many games did ned have before he gave the games away ?\n", "labels": "19", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-2b6fdd3324334f54a11071a0ed458c45"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: chris tasked to lead the newspaper collection was able to obtain 42 newspapers from their neighborhood . if his sister lily helped him and was able to get 23 more newspapers from another block how many newspapers were they able to collect together ?\n", "labels": "65", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-6160fd5fa088468f9cfc06532062bd54"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: the central city zoo has 45 chimpanzees . every day the chimps eat a total of 72 bananas . next week the zoo is moving 18 chimps to a new cage . how many chimps will stay in the old cage ?\n", "labels": "27", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-29047adf7ed4465784561e7711ee5e9f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: mrs. hilt saw 33 butterflies . some of the butterflies were red and others were orange . if 20 of the butterflies were orange how many of them were red ?\n", "labels": "13", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-283756b6ac9f413392aa2a51982f7e06"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: 1 of his favorites is a book called encyclopedia of life and everything else . the book has 7 large chapters each having 566 pages . how many pages does the encyclopedia have in total ?\n", "labels": "3962", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-df920d1c28674b1b991dbdc1aebbe1a1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: paul and vinnie deliver newspapers . paul made $ 14 in tips . vinnie made $ 16 more than paul . how much did vinnie make ?\n", "labels": "30", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-fb7a92d61b6c481599e775d91641d946"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: christian and the junior ranger brought a bag of 140 nails as they visited every station assigned to the junior ranger . if they left exactly 7 nails in every station they visited how many stations did joline and the junior ranger visit ?\n", "labels": "20", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-793d466112a24b57bde7f72296f0bb08"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: another material that he needs is rope . if he already has 6 feet of rope and he needs additional ropes having 5 times the length of what he already have how long should be the additional rope ?\n", "labels": "30", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-c53edeb8d5ca40f5958b69cfb8e7981e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: recently the postal service sold stamps with famous people pictured on them . they sold 578833 color stamps as well as 523776 black-and-white 1 . about how many stamps did they sell ?\n", "labels": "1102609", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-297a6c3fe1194ec4b9ab7bf59d13bc73"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: for a party henry spent 45 dollars on food and 33 dollars on drinks . how much did henry spend total ?\n", "labels": "78", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-fda4f9bf749340c3869b41e1796ca532"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: faye had 12 apps on her phone . to free up some space she deleted 8 of the apps . how many apps did she have left ?\n", "labels": "4", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-56136b225cb4441eb3cf060dc3b40061"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: upon arriving at the school buddy immediately went to his teacher where he was introduced to all the third grade students in the school . there were 57 girl students and 66 boy students . how many third graders did buddy meet in the school ?\n", "labels": "123", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-92320876adcf442aaaf1052c767b76c7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: there are 37 baskets . there are 17 apples in each basket . how many apples are there in all ?\n", "labels": "629", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-27e8acdcabf043e29dfca6a105dcfbef"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: it is buddy 's first day at a new school and he is feeling very nervous . his day begins with some bacon and egg prepared by his mother . after eating and preparing buddy headed out to catch the school bus from the nearest bus stop . including buddy there were 39 students that got on the bus during the first stop . if 29 more students got on the bus at the second stop how many students are riding the bus ?\n", "labels": "68", "task_name": "task864_asdiv_singleop_question_answering", "task_category": "question_answering", "id": "task864-77e04141393e48818bdd1fcc99404edc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Faye was selling her necklaces at a garage sale . She sold 3 bead necklaces and 7 gem stone necklaces . If each necklace cost 7 dollars , how much money did she earn ?\n", "labels": "70", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ced8912dddb04a4680608067d68137de"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school cafeteria ordered 37 red apples and 45 green apples for students lunches . But , if only 51 students wanted fruit , how many extra did the cafeteria end up with ?\n", "labels": "31", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b6bac2b0905a4f68837e8ebc52b512f1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sean has 55 blocks . 29 are eaten by a hippopotamus . How many blocks will Sean have ?\n", "labels": "26", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-793156a9aec947dfafad9c228a2ef089"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Olivia was playing a video game where she scores 8 points for each treasure she finds . If she found 2 treasures on the first level and 2 on the second , what would her score be ?\n", "labels": "32", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-492bb5b386ab45298fbf78b9b9aa9c8e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 43 pencils in the drawer and 19 pencils on the desk . Dan placed 16 more pencils on the desk . How many pencils are now there in total ?\n", "labels": "78", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-76ee664fac6a4258ba458e4a157d7d44"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Bobby ate 26 pieces of candy . Then , he ate 17 more . How many pieces of candy did Bobby eat ?\n", "labels": "43", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-9d4ae95adf154fc980b102388bdbf759"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: If there are 7 eggs in a box and Daniel puts 4 more eggs inside , how many eggs are in the box ?\n", "labels": "11", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-cbf7c3ab49de4e15af4c24cd04c00bd0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jason had 49 quarters in his bank . His dad gave him 25 quarters . How many quarters does he have now ?\n", "labels": "74", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-efaa419003864c41bab657f57fee0f20"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sara picked 6 pears and Tim picked 5 pears from the pear tree . How many pears were picked in total ?\n", "labels": "11", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e7b185621c284c7cb30f5ed292df2057"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sam had to wash 40 short sleeve shirts and 23 long sleeve shirts before school . If he had only washed 29 of them by the time school started , how many did he not wash ?\n", "labels": "34", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-0b6917adffbc4d8ea3a4b0468d698144"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A restaurant served 5 cakes during lunch and 6 during dinner today . The restaurant served 3 cakes yesterday . How many cakes were served in total ?\n", "labels": "14", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d037b523d85a4b339aab01346a413136"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Marcus has 210 baseball cards . He has 58 more than Carter . How many baseball cards does Carter have ?\n", "labels": "152", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-281e7c9b06f24d18b9a806cb56f5aa8a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 27 boys and 35 girls on the playground at recess . How many children were on the playground at recess ?\n", "labels": "62", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d495b20699e9437eba22adffb950efdc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Brandy made trail mix for a backpacking trip . She used 0.16666666666666666 pound of peanuts , 0.16666666666666666 pound of chocolate chips , and 0.08333333333333333 pound of raisins . How many pounds of trail mix did Brandy make ?\n", "labels": "0.4166666666666667", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f1e364ebeaea4059b4ca205aaf51a3c6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the arcade , Tom won 32 tickets playing ' whack a mole ' and 25 tickets playing ' skee ball ' . If he spent 7 of his tickets on a hat , how many tickets does Tom have left ?\n", "labels": "50", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4e6eeb8ed8644bab9126bed408dba233"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the fair there were 31 people in line for the bumper cars . If 25 of them got tired of waiting and left and 25 more got in line , how many people would be in line ?\n", "labels": "31", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-bfd65bfc16c7470188c1e17d5fa916ae"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the hardware store , 0.25 the nails are size 2d and 0.5 the nails are size 4d . What fraction of the nails are either size 2d or 4d ?\n", "labels": "0.75", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-18b0b9547c954e55bc8808603edea479"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Keith grew 6 turnips . Alyssa grew 9 turnips . How many turnips did they grow in all ?\n", "labels": "15", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-eca0c1930c8e4252b274b74e9a4df065"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A store had 40 oranges in a bin . If they threw away 25 of the old ones and put 21 new ones in the bin how many would be in the bin ?\n", "labels": "36", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-bf1fd02a3d244b27836e04c34cbf6214"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Lino picked up 292 shells at the seashore in the morning and 324 shells in the afternoon . How many shells did he pick up in all ?\n", "labels": "616", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-454ac6f5d41c4e5996cdf59d618bf17b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mike picked 8 pears and Jason picked 7 pears from the pear tree . Fred picked 6 apples from the apple tree . How many pears were picked in total ?\n", "labels": "15", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-8ef74f716dc347f3b422de53b014433e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A bee colony produced 0.36 pounds of honey , but bears ate 0.05 pounds of it . How much honey remains ?\n", "labels": "0.31", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-c041b6248c4a4fc4857e96c1bbf8713e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jason grew 37 watermelons and 30 pumpkins . Sandy grew 11 watermelons . How many watermelons did they grow in total ?\n", "labels": "48", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-86d5968c6730437f90281d7fe3b6ef95"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Melanie had 19 dimes in her bank . Her dad gave her 39 dimes and her mother gave her 25 dimes . How many dimes does Melanie have now ?\n", "labels": "83", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a60416a5f93a4dd3a13a047aae5eb5d3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mary had 7 nickels in her bank . Her dad gave her 5 more nickels . How many nickels does Mary have now ?\n", "labels": "12", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-9a731fb26c6b4ee991e44101bbda12d5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were originally 20817 houses in Lincoln County . During a housing boom , developers built 97741 more . How many houses are there now in Lincoln County ?\n", "labels": "118558", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-75e4f7695ab34c29a2469d257eadddf7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paula 's aunt gave her $ 109 to spend on clothes at the mall . She bought 2 shirts that cost $ 11 each and a pair of pants that cost $ 13 . How much money does Paula have left to buy more clothes ?\n", "labels": "74", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-0f67d48d4ab34f95b70693e97e9b9e9e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jason picked 46 pears , Keith picked 47 pears , and Mike picked 12 pears from the pear tree . How many pears were picked in total ?\n", "labels": "105", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-57f0c6e0997f4aaa9ad16aff1beb69ca"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Alyssa loves eating fruits . Alyssa paid $ 12.08 for grapes , and $ 9.85 for cherries . In total , how much money did Alyssa spend ?\n", "labels": "21.93", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-901a3abf6dea4c44964c6b68f9e870f0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The schools debate team had 26 boys and 46 girls on it . If they were split into groups of 9 how many groups could they make ?\n", "labels": "8", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d51a3392c4cb4cd4a2ad81ac58ca18a9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Priya needs 54 cupcakes for a birthday party . She already has 15 chocolate cupcakes and 25 vanilla cupcakes . How many more cupcakes should Priya buy ?\n", "labels": "14", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e8f5da4d26af4af19d4406cc6dee3a1a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: In Shannon 's apartment complex , 0.16666666666666666 the apartments are one - bedroom apartments and 0.3333333333333333 are two - bedroom apartments . What fraction of the apartments are either 1 - or two - bedroom apartments ?\n", "labels": "0.5", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e276f5a5823a455b950c56bdbfd0abeb"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Roger had 16 dollars . For his birthday he got 28 more dollars but spent 25 on a new game . How much money does he have now ?\n", "labels": "19", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-db73a1e27a9145bd901934b272a8841b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For Halloween Katie and her sister combined the candy they received . Katie had 10 pieces of candy while her sister had 6 . If they ate 9 pieces the first night , how many pieces do they have left ?\n", "labels": "7", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-520005221e054bd9ba500781248449c7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For Halloween Faye scored 47 pieces of candy . She ate 25 pieces the first night and then her sister gave her 40 more pieces . How many pieces of candy does Faye have now ?\n", "labels": "62", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-c085f73881304eebb114dcef726030d6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waiter at ' The Greasy Spoon ' restaurant had 39 customers to wait on . During the lunch rush he added another 12 customers . If 49 of the customers did n't leave him a tip , how many customers did leave a tip ?\n", "labels": "2", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-42bf0707ce954eb49298514ad272f560"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A group of 3 friends went into a restaurant . The chef already had 6 chicken wings cooked but cooked 3 more for the group . If they each got the same amount how many would each person get ?\n", "labels": "3", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d80cf08dc9594d48bf65ba01324aa6ea"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Terrell hiked 8.2 miles on Saturday . Then , on Sunday , he hiked another 1.6 miles . How far did Terrell hike all together ?\n", "labels": "9.8", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e4e5b628845248d4bbb1aca0a038d594"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Connie has 2315 red markers and 1028 blue markers . How many markers does Connie have altogether ?\n", "labels": "3343", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-222d9470c06c41b3aa4c4e68ac7b741b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waiter had 9 tables he was waiting on , with 7 women and 3 men at each table . How many customers total did the waiter have ?\n", "labels": "90", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-8aaa968426224512ac148f299c8a9a7c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tessa has 4 apples . Anita gave her 5 more . She needs 10 apples to make a pie . Does she have enough to make a pie ?\n", "labels": "9", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e17452a657a44881bb005bb6c280d424"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While playing at the arcade , Edward won 3 tickets playing ' whack a mole ' and 5 tickets playing ' skee ball ' . If he was trying to buy candy that cost 4 tickets a piece , how many could he buy ?\n", "labels": "2", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-448e53c62a5648478008af4f1adef99b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 9 crayons in the drawer . Benny placed 3 crayons in the drawer . How many crayons are now there in total ?\n", "labels": "12", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1db94bb7c42349e3b2c8547be83b2181"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sean has 223 whistles . Sean has 95 more whistles than Charles . How many whistles does Charles have ?\n", "labels": "128", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b2a6687d7b8949a3b17fbbb6f5398b1d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waitress put leftover tarts into the fridge on Thursday night . She noticed that the restaurant had 0.08333333333333333 tart filled with cherries , 0.75 tart filled with blueberries , and 0.08333333333333333 tart filled with peaches . How many leftover tarts did the restaurant have in all ?\n", "labels": "0.9166666666666666", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-09cdfc083e36482d8263bb3f8df6a953"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mary has 9 yellow marbles . Joan has 3 yellow marbles . How many yellow marbles do they have in all ?\n", "labels": "12", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-223986be123446599fb6e9d73bb6e261"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school cafeteria had 14 apples . If they used 13 to make lunch for the students and then bought 49 more , how many apples would they have ?\n", "labels": "50", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-98cba20ffb464a72ae0f6005d6ab4708"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jane starts with 87 crayons . 7 are eaten by a hippopotamus . How many crayons does Jane end with ?\n", "labels": "80", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ae54c1ffdcdd4323a0f9fc09fd1d882b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Ruth starts with 89 apples . She shares 5 with Peter . How many apples does Ruth end with ?\n", "labels": "84", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7e62d2eca5a14073b2452911191c675c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: If there are 76 erasers in a box and Patrick puts 9 more erasers inside , how many erasers are in the box ?\n", "labels": "85", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-238abddbfa3d426c928bb5a57ea18038"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Megan has 19 seashells . How many more seashells does she need to find to have 25 seashells in her collection ?\n", "labels": "6", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-085654e01164431990949bb6d0a01c80"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Haley 's favorite band was holding a concert where tickets were 4 dollars each . Haley bought 3 tickets for herself and her friends and 5 extra tickets in case anyone else wanted to go . How much did she spend ?\n", "labels": "32", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e2929f574d5845e88c7f04f461a78d02"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Janet was playing a video game and had 47 lives . In a hard part of the game she lost 23 lives . If she got 46 more lives in the next level , how many lives would she have ?\n", "labels": "70", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-cf130ee120204130b0fb8a9b4652b014"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sarah had some trucks . She gave 13 to Jeff , and now she has 38 trucks left . How many trucks did Sarah have to start with ?\n", "labels": "51", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f3b982a05eed4d409eef8880780db5c9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mary picked 122 oranges and Jason picked 105 oranges from the orange tree . How many oranges were picked in total ?\n", "labels": "227", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-22307b37186d4f8d9007b0eca4edfde5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jonathan wants to buy a dictionary that costs $ 11 , a dinosaur book that costs $ 19 , and a children 's cookbook that costs $ 7 . He has saved $ 8 from his allowance . How much more money does Jonathan need to buy all three books ?\n", "labels": "29", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a5966e9906284905816af730548f494e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Bianca picked 23 carrots from her garden . If she threw out 10 of them and then picked 47 more the next day , how many carrots would she have total ?\n", "labels": "60", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-137c92479a474bc7a9413ee1537cbe48"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tom has 9 yellow balloons Sara has 8 yellow balloons . How many yellow balloons do they have in total ?\n", "labels": "17", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-2c0088aefcca4eae9cc19f0a2b49b1a8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 34 dogwood trees currently in the park . Park workers will plant 49 more dogwood trees today . How many dogwood trees will the park have when the workers are finished ?\n", "labels": "83", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4a48b31a41fc4c848581a1023a313f05"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tom found 5 seashells on the beach . he gave Jessica 2 of the seashells . How many seashells does he now have ?\n", "labels": "3", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a68dcb3b3d20497abb1bf27498cbd1d8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Gwen had 18 math problems and 11 science problems for homework . If she finished 24 of the problems at school , how many problems did she have to do for homework ?\n", "labels": "5", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a02e05822cb34b6aae85c6539b10f893"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 7 crayons in the drawer . Mary took 3 crayons out of the drawer . How many crayons are there now ?\n", "labels": "4", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-fa77adcc0ba744f6af5307d1749dcc60"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A teacher had 6 worksheets to grade . If she graded 4 , but then another 18 were turned in , how many worksheets would she have to grade ?\n", "labels": "20", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-8498d98c9a6f4ffc8f47964c8f809265"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Darnel sprinted 0.875 lap and then took a break by jogging 0.75 lap . How much farther did Darnel sprint than jog ?\n", "labels": "0.125", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-3141e7f63894476e80184eb3c0272ee6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Janet has 3 stickers . She gets 53 more from Ruth . How many stickers does Janet have in all ?\n", "labels": "56", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4f48bd6150254d20a646afc29fe0edc9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 2 pencils in the drawer . Tim placed 3 pencils in the drawer . How many pencils are now there in total ?\n", "labels": "5", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4c8ea6aed1254700907f2d5f9ca92c48"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nancy 's old washing machine could only wash 9 pieces of clothing at a time . If she had to wash 19 shirts and 8 sweaters how many loads would she have to do ?\n", "labels": "3", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d39d45f89e8540939f2a1dac5eb23062"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Adam had 33 books . If he sold 11 of them and used the money he earned to buy 23 new books , how many books would Adam have ?\n", "labels": "45", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-5958589ece744bffa0df4e35e9eabc0d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Marilyn starts with 51 bottle caps . She shares 36 with Nancy . How many bottle caps does Marilyn end with ?\n", "labels": "15", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1cbc92ada88d45df8f04c5b19b4beeab"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A marine biologist measured 1 fish that was 0.3 foot long and a second fish that was 0.2 foot long . How much longer was the first fish ?\n", "labels": "0.1", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-fca01c82d62a47ba91e414a55a97c591"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mike had 34 peaches at his roadside fruit dish . He went to the orchard and picked peaches to stock up . There are now 86 peaches . how many did he pick ?\n", "labels": "52", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f321ce4c389943068a039239c256dc39"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While playing a trivia game , Mike answered 3 questions correct in the first half and 5 questions correct in the second half . If each question was worth 3 points , what was his final score ?\n", "labels": "24", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6d3357b627444a889c14d5011b6b24cd"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mike joined his school 's band . He bought a trumpet for $ 145.16 , and a song book which was $ 5.84 . How much did Mike spend at the music store ?\n", "labels": "151", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-fb1cbabc3c0b4215845a1fff04367d9f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 64 pigs in the barn . Some more come to join them . Now there are 86 pigs . How many pigs came to join them ?\n", "labels": "22", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-8b3793882c2e47779e7d6eee6574fc7b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sara has 792 black and 122 red marbles . Fred took 233 of Sara 's black marbles . How many black marbles does Sara now have ?\n", "labels": "559", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f8ca8095097f473ab0fa7e95ad7eaa4f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Benny picked 2 apples and Dan picked 9 apples from the apple tree . How many apples were picked in total ?\n", "labels": "11", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d76f09b327c74a438ac9d16fe7e4dde5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For the school bake sale Wendy made pastries . She baked 41 cupcakes and 31 cookies . After the sale she had 32 to take back home . How many pastries did she sell ?\n", "labels": "40", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-998c56f390504d0e83f9c112ea03d40c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While digging through her clothes for ice cream money , Joan found 15 dimes in her jacket , and 4 dimes in her shorts . How much money did Joan find ?\n", "labels": "1.9", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-26dde3b7e1974f039a54774acc56fa39"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Faye and her mom were picking carrots from their garden . Faye picked 23 and her mother picked 5 . If only 12 of the carrots were good , how many bad carrots did they have ?\n", "labels": "16", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b7cfe33a81764c97b7597486af982af8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Keith spent $ 6.51 on a rabbit toy , $ 5.79 on pet food , and a cage cost him $ 12.51 . He found a dollar bill on the ground . What was the total cost of Keith 's purchases ?\n", "labels": "24.81", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-800b33b348f944c8a11f364340420757"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: David has 8 bananas . He gets 50 more from Christopher . Later , David buys 9 cards at the store . How many bananas does David have in all ?\n", "labels": "58", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ee58996f7938410ba0a65a7be1b603b9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: 18 children were riding on the bus . At the bus stop , some more children got on the bus . Then there were 25 children altogether on the bus . How many children got on the bus at the bus stop ?\n", "labels": "7", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-70ce6ed39edc43a78e17675758d1f8d9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Joseph has 67 candies . Kathy gives Joseph 38 more . How many candies does Joseph have in all ?\n", "labels": "105", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7b8b9a8a998f4c94a2ee05bad4f3cdcc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sara has 31 red and 15 green balloons . Sandy has 24 red balloons . How many red balloons do they have in total ?\n", "labels": "55", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d04f84b26d764399be8fcbca5d0fe2a7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Daniel had some noodles . He gave 12 noodles to William . Now Daniel only has 54 noodles . How many noodles did Daniel have to begin with ?\n", "labels": "66", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ec78ab0d9046474490747ddde4f2a838"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each flower was 6 dollars . If Katie bought 5 roses and 5 daisies , how much did she spend ?\n", "labels": "60", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-790ec76d230145bb8e0ff2dd9528f530"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Annie has 6 apples . She gets 6 more from Nathan . Later , Annie buys 10 crayons at the store . How many apples does Annie have in all ?\n", "labels": "12", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-69a7cfb087354721b157d8461ceb3fca"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Haley and her mom were picking carrots from their garden . Haley picked 39 and her mother picked 38 . If only 64 of the carrots were good , how many bad carrots did they have ?\n", "labels": "13", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e68484c2ed8c4417b5ca2dbcfb1d5cb9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A group of 3 friends went into a restaurant . The chef already had 8 chicken wings cooked but cooked 10 more for the group . If they each got the same amount how many would each person get ?\n", "labels": "6", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-917aa7987a224fcb9e88a852ebfd07e6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Maggie bought 4 packs of red bouncy balls , 8 packs of yellow bouncy balls , and 4 packs of green bouncy balls . There were 10 bouncy balls in each package . How many bouncy balls did Maggie buy in all ?\n", "labels": "160", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f64ed932d5a44ce18f208bc9b0254566"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Eve ran 0.7 mile and walked 0.6 mile . How much farther did Eve run than walk ?\n", "labels": "0.1", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-cf625cc8d29644b7a2be8e1522614c92"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Willie starts with 36 stickers . He gives 7 to Emily . How many stickers does Willie end with ?\n", "labels": "29", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-39813c2d0cca492888fabee9123c6e68"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 47 orchid bushes currently in the park . Park workers will plant 37 orchid bushes today and 25 orchid bushes tomorrow . It took 35 workers to finish the work . How many orchid bushes will the park have when the workers are finished ?\n", "labels": "109", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-5b004b856e204a4f99e2807a3bf5be1b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: To fill an order , the factory dyed 61921 yards of silk green and 49500 yards pink . How many yards of silk did it dye for that order ?\n", "labels": "111421", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b879364b5966494c981f3234f946a375"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For Halloween Emily received 5 pieces of candy from neighbors and 13 pieces from her older sister . If she only ate 9 pieces a day , how long would the candy last her ?\n", "labels": "2", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d6177eceb2364cfca5e9797a68ce0a51"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school cafeteria ordered 6 red apples and 15 green apples for students lunches . But , if only 5 students wanted fruit , how many extra did the cafeteria end up with ?\n", "labels": "16", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-77ef6ec817774522ac8428b807e5cb1a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: John made 6 dollars mowing lawns and 18 dollars weed eating . If he only spent 3 dollar a week , how long would the money last him ?\n", "labels": "8", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a8a4e4cd9bf843de8159f2b7a218f476"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For a birthday party George bought 10 regular sodas and 22 diet sodas . If his fridge would only hold 4 on each shelf , how many shelves would he fill up ?\n", "labels": "8", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-64baeab3b84746cf92c9d59722d06bf4"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Brenda starts with 7 Skittles . She buys 8 more . How many Skittles does Brenda end with ?\n", "labels": "15", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ec8a347ac7a54b70a530f31aa955af68"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Suzie found 2 worms in the yard and measured them with a ruler . 1 worm was 0.8 inch long . The other worm was 0.1 inch long . How much longer was the longer worm ?\n", "labels": "0.7", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e6e3ef5eaea14a01a0dbac2cf1421b21"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each flower was 8 dollars . If Vanessa bought 3 roses and 3 daisies , how much did she spend ?\n", "labels": "48", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-40b1e80090bd47919d637ba4f509a320"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sam went to 14 football games this year . He went to 29 games last year . How many football games did Sam go to in all ?\n", "labels": "43", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f563acf16a684a3bb035c5e596a7d8ca"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Lana was unboxing some of her old winter clothes . She found 4 boxes of clothing and inside each box there were 2 scarves and 6 mittens . How many pieces of winter clothing did Lana have total ?\n", "labels": "32", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e4cd10edd00a4211b5aa58c233d2e74f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: When Joan was visited by the toothfairy , she received 14 each of quarters , half - dollars , and dimes . How much money did the toothfairy leave Joan ?\n", "labels": "11.9", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1215acfd77ac4b34b70e880e7370dd82"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Megan was organizing her book case making sure each of the shelves had exactly 7 books on it . If she had 8 shelves of mystery books and 2 shelves of picture books , how many books did she have total ?\n", "labels": "70", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7f24b67c56e84d769d31f47e504f4dc8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While on vacation , Nancy took 49 pictures at the zoo and 8 at the museum . If she later deleted 38 of the pictures , how many pictures from her vacation did she still have ?\n", "labels": "19", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-d79760f13d5e45909dfe857c01acea76"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the arcade Dave won 11 tickets . If he spent 5 tickets on a beanie and later won 10 more tickets , how many would he have ?\n", "labels": "16", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4206230aa73d4330bd5285312e2a51da"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Dan has 32 green and 38 violet marbles . Mike took 23 of Dan 's green marbles . How many green marbles does Dan now have ?\n", "labels": "9", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4b218655f2274fb79a1657269e97e71a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nell collects baseball cards . She had 304 cards . She gave some of her cards to Jeff and now has 276 cards left . How many cards did Nell give to Jeff ?\n", "labels": "28", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-4ee1b334c9084b9d95fde6a74e6b88fa"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nina did a running drill to get in shape for soccer season . First , Nina ran 0.08333333333333333 mile . Then she ran 0.08333333333333333 mile and 0.6666666666666666 mile . How many miles did Nina run in total ?\n", "labels": "0.8333333333333334", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-5b7f528a1326464093eca2a785fb416c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A chef bought 0.14 kilograms of almonds and 0.38 kilograms of pecans . How many kilograms of nuts did the chef buy in all ?\n", "labels": "0.52", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f1296e6484444f53a1342a2b3bf7f98c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Gwen and her friends were recycling paper for their class . For every 3 pounds they recycled they earned one point . If Gwen recycled 5 pounds and her friends recycled 13 pounds , how many points did they earn ?\n", "labels": "6", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-f88690f7101b4d59a861d0ed1a003057"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sean has 223 whistles . He has 95 more whistles that Charles . How many whistles does Charles have ?\n", "labels": "128", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-0f92fff5d2104ada933595469a138939"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Edward starts with 92 eggs . He gives 40 to Phillip . How many eggs does Edward end with ?\n", "labels": "52", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6aabed0dd8104942b609bcf7986ba9ce"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: On Saturday , Sara spent $ 10.62 each on 2 tickets to a movie theater . Sara also rented a movie for $ 1.59 , and bought a movie for $ 13.95 . How much money in total did Sara spend on movies ?\n", "labels": "36.78", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-df3d5afbe323430fac490dcac02f9dd1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Ellen made smoothies in the blender . She used 0.2 cup of strawberries , 0.1 cup of yogurt , and 0.2 cup of orange juice . How many cups of ingredients did Ellen use for the smoothies ?\n", "labels": "0.5", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-054db64ece984a97bc4ddeb9eae4e93f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The clown blew up 47 balloons . Then he blew up 13 more balloons . How many balloons does the clown have now ?\n", "labels": "60", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-95ef0290da0e4dd19dd9fe4b9434fd51"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 12 birds on the fence . 8 more birds land on the fence . How many birds are on the fence ?\n", "labels": "20", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-c8c0c2ebaa6e40ac80a7325e5d8399c1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Olivia and her mom were picking carrots from their garden . Olivia picked 20 and her mother picked 14 . If only 19 of the carrots were good , how many bad carrots did they have ?\n", "labels": "15", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a28b1fd667c34c8bb6c90dada5eee2aa"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Kenji and his classmates placed colored blocks on a scale during a science lab . The yellow block weighed 0.6 pounds and the green block weighed 0.4 pounds . How much more did the yellow block weigh than the green block ?\n", "labels": "0.2", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-51ea95d634754a219dcdc3c5f1463221"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While shopping , Maria bought 35 green towels and 21 white towels . If she gave her mother 34 of them , how many towels did Maria end up with ?\n", "labels": "22", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-5836b132502441b388781d2c3abc324e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Arthur has 6 cards . Aaron has with 5 cards . Aaron finds another 62 . How many cards does Aaron end with ?\n", "labels": "67", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7d4a03400edf477a93f8c6013c59288e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jonah added 0.3 cup of yellow raisins and 0.4 cup of black raisins to a batch of trail mix . How many cups of raisins did Jonah add in all ?\n", "labels": "0.7", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-eef2c4f170f9438aa33b9d46c87312a8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: You have collected 7 crickets . How many more crickets do you need to collect to have 11 crickets ?\n", "labels": "4", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-3ec94f1151f44959982e326522397e43"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Chloe picked 48 carrots from her garden . If she threw out 45 of them and then picked 42 more the next day , how many carrots would she have total ?\n", "labels": "45", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e8f35801fcdf4a828403cd70e6a621e6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jerry made 14 dollars mowing lawns and 31 dollars weed eating . If he only spent 5 dollar a week , how long would the money last him ?\n", "labels": "9", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-0f9d83de73114630b4f6f20c8d6e27ce"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At a company picnic 23 managers and 7 employees decided to start a game of volleyball . If they split into 6 teams how many people would be on each team ?\n", "labels": "5", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6a3b5d548681486db987b448d997d532"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tanner saved $ 17 in September . He saved $ 48 in October and $ 25 in November . Then Tanner spent $ 49 on a video game . How much money does Tanner have left ?\n", "labels": "41", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-c0a13bfca00f4329986480d9c959c07c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tom found 15 seashells and Fred found 43 seashells on the beach . When they cleaned them , they discovered that 29 were cracked . How many seashells did they find together ?\n", "labels": "58", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7be70a870db34764a32ac45145343d80"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 79 pencils in a box . Eric takes 4 pencils . How many are left ?\n", "labels": "75", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-bf6093891d63446dad4fd595f16ed485"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mrs. Snyder made 86 heart cookies . She made 36 red cookies and the rest are pink . How many pink cookies did she make ?\n", "labels": "50", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1425f5d64d6244b199d9625c2d1ca3e3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nancy grew 2 onions , Dan grew 9 onions , and Mike grew 4 onions . They worked for 6 days on the farm . How many onions did they grow in total ?\n", "labels": "15", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-9d59a40c5c074917aeca7c6d43a9a457"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A DVD book holds 126 DVDs . There are 81 DVDs already in the book . How many more DVDs can be put in the book ?\n", "labels": "45", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-acda9284b3bd43f4b1c092b8bf357288"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: 2 toucans are sitting on a tree limb . 1 more toucan joins them . How many toucans in all ?\n", "labels": "3", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ab1f592664f34aa694b91285ce2ca16e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tim got 3 nickels and 13 dimes for shining shoes , and in his tip jar found 7 dimes and 9 half - dollars . How much money did Tim get ?\n", "labels": "6.65", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b56b35baf0c54629ab57bb9edccb3e97"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Christina just transferred $ 69 out of her bank account . As a result , the account now has $ 26935 in it . How much money was in the account before the transfer ?\n", "labels": "27004", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-3eb1b46819154b9f80e24ed9caa3f0ba"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: 29 birds were sitting in a tree . Some more fly up to the tree . Then there were 42 birds in the tree . How many more flew up to the tree ?\n", "labels": "13", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-009a300f50ea41618dcdd058e180d419"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Isabella \u2019 s hair is 18 cubes long . If her hair grows 4 more inches , how long will it be ?\n", "labels": "22", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-37b34f5c1f13490dbad6ef09cd76c41d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Robin 's class is going on a field trip to the zoo . If each van can hold 8 people and there are 22 students and 2 adults going , how many vans will they need ?\n", "labels": "3", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-cc4586e926b14713a8c43f1462f7937e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: One recipe calls for 0.25 teaspoon vanilla , and a second recipe requires for 0.5 teaspoon vanilla , and a third recipe calls for 0.125 teaspoon vanilla . How much vanilla is required to make all 3 recipes , in teaspoons ?\n", "labels": "0.875", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ab275a407ad044c1acbe2036813ac6a3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A book store had 4 books in the bargin bin . If they sold 3 books , but then put 10 more in the bin , how many books would be in the bin ?\n", "labels": "11", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-083e151a65444f0cbfe91dc2f8febd03"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sally picked 7 lemons and Mary picked 9 lemons from the lemon tree . How many lemons were picked in total ?\n", "labels": "16", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-01d5be7ef61d46adbbf9668db3507808"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paige had 43 math problems and 12 science problems for homework . If she finished 44 of the problems at school , how many problems did she have to do for homework ?\n", "labels": "11", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b404f7e7510d4a5b8ef36f2416e28619"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Wendy was playing a video game and had 10 lives . In a hard part of the game she lost 6 lives . If she got 37 more lives in the next level , how many lives would she have ?\n", "labels": "41", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-28d543fd6ddb4701b3b052d5bc58d7db"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A florist had 50 roses . If she sold 15 of them and then later picked 21 more , how many roses would she have ?\n", "labels": "56", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-aa9fbac6ef01426ea494ce2bb59f18cd"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There is 0.16666666666666666 cup of oil in Scarlett 's measuring cup . If Scarlett adds 0.6666666666666666 cup more , how much oil will be in the measuring cup ?\n", "labels": "0.8333333333333334", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-da566b8c5e144e6a8c8f249ba0afeaa3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Beka flew 873 miles to visit her aunt . Jackson flew 563 miles to visit his aunt . How many more miles did Beka fly than Jackson ?\n", "labels": "310", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-9888e5006d7e41d789cd4c40d9ced19b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 2 friends playing a video game online when 2 more players joined the game . If each player had 6 lives , how many lives did they have total ?\n", "labels": "24", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-bf5b22b25ca94c45bca38c3ad8635169"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the arcade , Jerry won 29 tickets playing ' whack a mole ' and 17 tickets playing ' skee ball ' . If he spent 12 of his tickets on a hat , how many tickets does Jerry have left ?\n", "labels": "34", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-61ce208e482b43f39e75f21673ab739f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: On Saturday , Sara spent $ 10.62 each on 2 tickets to a movie theater . She also rented a movie for $ 1.59 , and bought a movie for $ 13.95 . How much money in total did Sara spend on movies ?\n", "labels": "36.78", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6ffe8601ac3742f98992879a349d4523"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waiter had 33 customers to wait on . If 31 customers left and he got another 26 customers , how many customers would he have ?\n", "labels": "28", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1e443719a11a4dc9a231cc51fba18670"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each flower was 3 dollars . If Emily bought 2 roses and 2 daisies , how much did she spend ?\n", "labels": "12", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ed06b6c9181d4cf6a35665ff6f262e0a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Frank had saved up 3 dollars . If he received another 37 dollars for his allowance , how many 8 dollar toys could he buy ?\n", "labels": "5", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7fa73dc7a712493fa11ca68044b0a8c5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At a company picnic 9 managers and 15 employees decided to start a game of volleyball . If they split into 8 teams how many people would be on each team ?\n", "labels": "3", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ab73f61c514a4446a574c47f2c4dc19f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 4 marbles . 7 marbles more are added . How many are there total ?\n", "labels": "11", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7e6861e0786b4d9aad1dbf3d8378826e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: In fourth grade there were 40 students at the start of the year . During the year 14 students left and 26 new students came to school . How many students were in fourth grade at the end ?\n", "labels": "52", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-7a944cfbc0f44fad915a044bbbccd7cb"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Lucy has an aquarium with 212 fish . She wants to buy 68 more fish . How many fish would Lucy have then ?\n", "labels": "280", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-70a1598c84954c4d860976cea23da085"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: 2 stockbrokers are making cold calls to potential customers regarding a hot IPO . One of the brokers is able to get a new client every 0.125 hour , and the other is able to get a new client every 0.2 hour . At what rate , in clients per hour , are the new clients being acquired when both are working ?\n", "labels": "13", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ffa13826e76c41f7a99f70f2d31a969a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Connie had some marbles . She gave 183 to Juan . Now she has 593 marbles left . How many did she have to start with ?\n", "labels": "776", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-5ef2c3d1656642b68e6f2f32fd7b2622"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mariela was in the hospital and she got 403 get well cards from around the country . When she got home she got 287 more cards from friends and family . How many get well cards did Mariela get ?\n", "labels": "690", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-516fc8dd812f40adb0c28a1f62797501"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Bobby has 142 books . Kristi has 78 books . How many more books does Bobby have than Kristi ?\n", "labels": "64", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-66959975f8f44222a6cdac72d5fe5fda"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Debby had 30 coloring books . If she gave away 7 of them , but then bought 35 more , how many would she have total ?\n", "labels": "58", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1e238a40974b4ffbae42fb6331b1d9f4"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the schools book fair Victor bought 32 adventure books and 37 mystery books . If 16 of the books were used , how many new books did he buy ?\n", "labels": "53", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-3cf0372b55e446a091db8eea13155658"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Cade had 87 marbles . He gave 8 to Dylan . How many does he have left ?\n", "labels": "79", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6392b037d47547f59b0ae1c8d67d12af"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Isabel bought 900 pieces of paper . She used 156 pieces of the paper . How many pieces of paper does she have left ?\n", "labels": "744", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6ac87c4b11484cf0a69a38ae7817c9e1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Wanda has 4 blocks . Theresa gives Wanda 79 more . How many blocks does Wanda have in all ?\n", "labels": "83", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-9da0dfe5a2f643a594c25ed580c28fcd"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 58 geese and 37 ducks in the marsh . How many birds were there in all ?\n", "labels": "95", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-3ee3a0944e844c0ab57f111a8952a04b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Joan went to 4 football games this year . She went to 9 games last year . How many football games did Joan go to in all ?\n", "labels": "13", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-72d7f12682124c149cb5ebf8794ede68"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Rachel removes 47 bottle caps from a jar . There were originally 87 bottle caps in the jar . How many bottle caps are left in the jar ?\n", "labels": "40", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ad0e7f016d25429f9a8b153b200d48b1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the arcade Dave won 25 tickets . If he spent 22 tickets on a beanie and later won 15 more tickets , how many would he have ?\n", "labels": "18", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-a4d6092332bc45e482419889ef97aa38"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Evelyn has 95 marbles . She gets 9 more from Henry . Later , Evelyn buys 6 cards at the store . How many marbles does Evelyn have in all ?\n", "labels": "104", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-204fcd08480c4edfa9c9a0c1eca7ae1d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Oliver had 33 dollars in January . By March he had spent 4 dollars . If he got another 32 dollars from his mom , how much money would he have ?\n", "labels": "61", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-06444180174445a0a9d88bc4e7a36797"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For homework Amy had 18 math problems and 6 spelling problems . If she can finish 4 problems in an hour how long will it take her to finish all the problems ?\n", "labels": "6", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-238c93759f7a4d4d9effe7ccafab10b3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Gary had 73 dollars . He spent 55 dollars on a pet snake . How many dollars did Gary have left ?\n", "labels": "18", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-6383a4bf36614c5f89c03f5806b8fb58"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: John was organizing his baseball cards in a binder with 3 on each page . If he had 8 new cards and 16 old cards to put in the binder , how many pages would he use ?\n", "labels": "8", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-9618384a68174a6fbb54025345d51938"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 6 candies in a pile on the desk . Each candy comes in a package of 15 . 4 candies are added to the pile . How many candies are there in the pile ?\n", "labels": "10", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-e0ce17bd099e43a880d6e1fa9dcee17b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Lana 's favorite band was holding a concert where tickets were 6 dollars each . Lana bought 8 tickets for herself and her friends and 2 extra tickets in case anyone else wanted to go . How much did she spend ?\n", "labels": "60", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-ac8f18a196dd436480e0666d7879090e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Joyce has 8 eggs . Marie gives Joyce 6 more . Later , Joyce buys 13 erasers at the store . How many eggs does Joyce have in all ?\n", "labels": "14", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-62638df1c5854bd88d8980564f0939a3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Isabella \u2019 s hair is 18 inches long . By the end of the year her hair is 24 inches long . How much hair did she grow ?\n", "labels": "6", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-475ba8b240c4435aa9dc9018a8ca7e27"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 4 friends playing a video game online when 5 more players joined the game . If each player had 3 lives , how many lives did they have total ?\n", "labels": "27", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-b34734f89ff04fa98ba299f248567282"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Hayley had 25 meatballs on her plate . Kirsten stole some of her meatballs . Now she has 11 meatballs on her plate . How many meatballs did Kirsten steal ?\n", "labels": "14", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-86f403ad1c3442a0a7ce0667af767061"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Norma has 88 cards . She loses 70 . How many cards will Norma have ?\n", "labels": "18", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-1a65456759094d0ebd28c363a26a2d09"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sam got 9 pennies for washing clothes , and 7 quarters for mowing lawns . How much money does Sam have ?\n", "labels": "1.84", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-706ebf52194a4d1c9f49cb104aed0119"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Kaleb was collecting cans for recycling . On Saturday he filled 4 bags up and on Sunday he filled 6 more bags . If each bag had 4 cans in it , how many cans did he pick up total ?\n", "labels": "40", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-41a3499afd5543c6a9898e7c2b52de9f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jane has 28 old , brown sheets of drawing paper and 27 old , yellow sheets of drawing paper . How many pieces of drawing paper does she have ?\n", "labels": "55", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-16af4172230b42e7af8350c788fcaa4b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mrs. Sheridan has 22 fish . Her sister gave her 47 more fish . How many fish does she have now ?\n", "labels": "69", "task_name": "task865_mawps_addsub_question_answering", "task_category": "question_answering", "id": "task865-09f48661bfac464e8d5021798204d112"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Lisa flew 256 miles at 32 miles per hour . How long did Lisa fly ?\n", "labels": "8", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-7537c79424214ce6a67ee4d4674b96e4"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mrs. Hilt saw 144 bees in the hive . The next day she saw 3 times that many . How many bees did she see on the second day ?\n", "labels": "432", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-8dd58a865301466bbbc3e1a55b413055"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Dave had 10 video games but 2 of them were n't working . If he wanted to sell the working games for $ 4 each , how much money could he earn ?\n", "labels": "32", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-278cdeb4320a4aa3a19e96558196c2cb"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Frank worked 8 hours on the first 4 days of the week . How many hours did he work in all ?\n", "labels": "32", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-3a4bbc34d9e744789c02ee3b1db0599d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: If Joan bicycled 25 miles at 5 miles per hour , how long was Joan travelling ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-3071283cd8c14117ba2909d7c6d163ba"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Joe has 45 oranges that must be put away in boxes . Daniel comes to help and brings 16 cookies to share with Joe . If there are 9 boxes , how many oranges must go in each box ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-24c5544e727041af94fb4c74c0dcda38"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 10 friends playing a video game online when 7 players quit . If each player left had 8 lives , how many lives did they have total ?\n", "labels": "24", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-6be239e6a43e49f1aabef2c0968cfd8e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jeffrey wants to split a collection of bottle caps into groups of 2 . Jeffrey has 12 bottle caps . How many groups will be created ?\n", "labels": "6", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-da26c7b26f444dc0afef313df07f8587"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: In a video game , each enemy defeated gives you 7 points . If a level has 11 enemies total and you destroy all but 8 of them , how many points would you earn ?\n", "labels": "21", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-5240a84566614fcfa18979455b21e912"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each flower was 3 dollars . If Robin bought 5 roses and 4 daisies , how much did she spend ?\n", "labels": "27", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-fcedd0891cd648049589cf3c76fc790d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 24 bicycles and 14 tricycles in the storage area at Danny 's apartment building . Each bicycle has 2 wheels and each tricycle has 3 wheels . How many wheels are there in all ?\n", "labels": "90", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-fd30bf25d573471eb142ff48c9120f75"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Fred has 110 blue marbles . Fred has 22 times more blue marbles than Tim . How many blue marbles does Tim have ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-c263fafac3c74a4eb70a8d50585b74b8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 124 students making 3 stars each for the school wall . How many stars will they make all together ?\n", "labels": "372", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-5c8bc6fc04c34e9d8dd75ce6695961b1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sandy worked 45 hours in the last 5 days . Assuming that she worked the same amount of hours each day , how long did she work each day ?\n", "labels": "9", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-8618a89a4032460ba1fd9f71e503bad8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mike worked 3 hours , each day , for 5 days . How many hours did he work in total ?\n", "labels": "15", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-17d3e2c20f5b4676b5d33f2b503510b0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Marcia spent 300 minutes working on her science project . How many hours did Marcia spend on her science project ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-4abf094ddb084342b60df41ff4272861"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: I have a pet golden retriever . Each year he gains 11 pounds . He is 8 years old . How many pounds does he weigh ?\n", "labels": "88", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-6af1d3f9e6764681b6432da481409548"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mrs. Hilt uses 2 ounces of detergent to wash a pound of clothes . How many ounces of soap will she use to wash 9 pounds of clothes ?\n", "labels": "18", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-d103f9a81bb74379a8066c288dfdf781"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Emily bought 4 new chairs and 2 new tables for her house . If she spent 8 minutes on each piece furniture putting it together , how many minutes did it take her to finish ?\n", "labels": "48", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-13246e5079d842f3ab8b00648ade2918"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 6 marbles in each box . How many marbles are in 3 boxes ?\n", "labels": "18", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-282f4f296c6b463987906932781b56c4"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: During 1 year , the Wagners ' real estate bill included 600 dollars for local schools . Of this amount , 150 dollars went to the high school district . What percent did the Wagner family pay to the high school district ?\n", "labels": "25", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-c3fb077c59044a38a0d7150f9da80ca1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 3 eggs in each box . How many eggs are in 2 boxes ?\n", "labels": "6", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-f86571290ee14c4181ada3dd91014a82"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The mini library also has a section for the classics . If Jack has a collection of 6 classic authors , with each author having 33 books , how many books does he have in the classics section ?\n", "labels": "198", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-414d44c10a1d4fb78ed15eb7b0adb43d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nancy , Melanie , Mary , and Alyssa each bought 540 baseball cards , which come in packs of 20 . How many packs of baseball cards do they have in all ?\n", "labels": "108", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-9c776ba54802404087cad6379f6baf3d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Melanie is selling 4 gumballs for eight cents each . How much money can Melanie get from selling the gumballs ?\n", "labels": "32", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-53c38727025e42baad28874544a001db"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Lewis saved checking on the grapevines for his last stop . He was told by one of the pickers that they fill 324 drums of grapes per day . How many drums of grapes would be filled in 9 days ?\n", "labels": "2916", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-07ef85140e974f9094d928e312c4a3e6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Melanie , Benny , Sandy , and Jessica each have 9 dozen Pokemon cards . How many Pokemon cards do they have in all ?\n", "labels": "432", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-20842a8b97b448d8b880586f6c9a0a54"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: David has 7 boxes of stuffed toy dogs . Each box has 4 dogs in it . How many dogs are there in all ?\n", "labels": "28", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-ae9b83bacc504ad19c9b3e614391f5bc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: I walk 1 mile every 15 minutes . I walked 3 miles . How many minutes did it take me ?\n", "labels": "45", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-e49de0bfac2a4c799d23420df7c3ca69"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tiffany baked 8 brownies , but needed 17 total for her party . If she used 8 cups of flour on each one , how much cups of flour does she still need ?\n", "labels": "72", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-bba95a97c83449b0980bdc3315250ba8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Find the product of -2 , -15 , 4 and -1 .\n", "labels": "-120", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-d2a96c1c04ae4af7adaccf0e723bc795"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Harry is inviting 3 friends to a party . He has 12 cookies . How many cookies will each friend get ?\n", "labels": "4", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-dec64fc1bbcc4ff59b38877d528a536c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Chloe was organizing her book case making sure each of the shelves had exactly 6 books on it . If she had 5 shelves of mystery books and 4 shelves of picture books , how many books did she have total ?\n", "labels": "54", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-4e4ed4ed92ac4cd4a7ad965531b6d752"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A trivia team had 5 members total , but during a game 2 members did n't show up . If each member that did show up scored 6 points , how many points were scored total ?\n", "labels": "18", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-9e4981c81250433d8992189951c4e008"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school is planning a field trip . There are 180 students and 60 seats on each school bus . How many buses are needed to take the trip ?\n", "labels": "3", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-61c32b04b6fd4029b85d51db8f4cad9a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tim has 13 dozen golf balls . How many golf balls does he have ?\n", "labels": "156", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-c5b10fea2ac945cea9b0dd5c4b7c1a0a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were a total of 323 football games in the season . The season is played for 17 months . How many football games were played each month , if each month has the same number of games ?\n", "labels": "19", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-591081d718084c3ba3b5099d5cb7160d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Luke was putting his spare change into piles . He had 5 piles of quarters and 5 piles of dimes . If each pile had 3 coins in it , how many coins did he have total ?\n", "labels": "30", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-50ea9fee83b343789a7345f6c1178ac1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While playing a trivia game , Frank answered 3 questions correct in the first half and 2 questions correct in the second half . If each question was worth 3 points , what was his final score ?\n", "labels": "15", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-ff1c0165451049c78b055ef22639de05"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A painter needed to paint 10 rooms in a building . Each room takes 8 hours to paint . If he already painted 8 rooms , how much longer will he take to paint the rest ?\n", "labels": "16", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-21594460a78748b8b93ece1aece8a301"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 2 friends playing a video game online when 2 more players joined the game . If each player had 6 lives , how many lives did they have total ?\n", "labels": "24", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-9fa94773b7804132ab3baa8e86d88716"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A bee has 6 legs . How many legs do 2 bees have ?\n", "labels": "12", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-cca68d9563ac4217b26e9d3fd4cb1484"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sarah sold 24 boxes of Lemon Chalet Cremes . How many cases of 12 boxes , plus extra boxes does Sarah need ?\n", "labels": "2", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-b0a6a0f9c61b4a79a792a97f85429350"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 13 friends playing a video game online when 8 players quit . If each player left had 6 lives , how many lives did they have total ?\n", "labels": "30", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-7511fb27ca7c461ba483fdc9c246afda"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Uncle Dave bought 143 ice cream sandwiches . If he wants to give them to his 11 hungry nieces , how many can each niece get ?\n", "labels": "13", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-f401cc69416140af9a3d540793ba429c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The first minute of a telephone call costs 24 cents and each additional minute 13 cents . What is the cost of a 5 minute telephone call ?\n", "labels": "89", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-04a8659389e448e2b8d7b6bcb474aa8e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Chloe was playing a video game where she scores 9 points for each treasure she finds . If she found 6 treasures on the first level and 3 on the second , what would her score be ?\n", "labels": "81", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-9eefa39abe8a4cfc810155eff25394e0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paula 's aunt gave her $ 109 to spend on clothes at the mall . She bought 2 shirts that cost $ 11 each and a pair of pants that cost $ 13 . How much money does Paula have left to buy more clothes ?\n", "labels": "74", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-82925dba7f674f17bd513b7c36091be9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Benny goes to lunch with Sally and Sandy . The total bill came to 15 dollars . They decided to equally split up the bill , how much will each person have to pay ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-105a1cabc7f04ae298a448f6360a84ba"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Dave was working as a sacker at a grocery store where he made 6 dollars an hour . On Monday he worked 6 hours and on Tuesday he worked 2 hours . How much money did Dave make in those two days ?\n", "labels": "48", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-1daeeffd29cd45e18cdb60569d56cb5f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Seth bought 20 cartons of ice cream and 2 cartons of yogurt . Each carton of ice cream cost $ 6 and each carton of yogurt cost $ 1 . How much more did Seth spend on ice cream than on yogurt ?\n", "labels": "118", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-476251bb0bbf45ca92ab87dbf6ec2a44"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Henry had 3 action figures , but needed 8 total for a complete collection . If each one costs $ 6 , how much money would he need to finish his collection ?\n", "labels": "30", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-26762359c38a4f61951824108a1eb0dd"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The next act involved several jugglers . If each juggler is juggling 6 balls at a time , how many balls are needed if there are 378 jugglers putting a show at the same time ?\n", "labels": "2268", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-0095ea5ad74c4c9aaf401040675294e8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each flower was 6 dollars . If Katie bought 5 roses and 5 daisies , how much did she spend ?\n", "labels": "60", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-cdf4f6164a144c3bbf01f0bbf979b27b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Christopher strolled 5 miles at 4 miles per hour . How long did Christopher stroll ?\n", "labels": "1.25", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-ab1539f9e173429ca200af11f7b48a30"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tom and his friend were buying trick decks from the magic shop for 8 dollars each . How much did they spend if Tom bought 3 decks and his friend bought 5 decks ?\n", "labels": "64", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-6feccc09afc0416c94784e4f03f24a5a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While shopping for music online , Nancy bought 3 country albums and 5 pop albums . Each album came with a lyric sheet and had 8 songs . How many songs did Nancy buy total ?\n", "labels": "64", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-604b41f3d54844b4bf6b7d85df5b1315"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Maggi had 3 packages of cupcakes . There are 4 cupcakes in each package . She ate 5 cupcakes . How many are left ?\n", "labels": "12", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-2babb1e86d2f4272b1f88ede4bf673d6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: She counted her crayons and found out that she has 80 crayons which she will place in crayon boxes . Every box can contain 8 crayons . How many boxes does she need ?\n", "labels": "10", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-957e4102b5fe4e97b643c1759d1713cc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: My car gets 20 miles per gallon of gas . If Grandma \u2019 s house is 100 miles away , how many gallons of gas would it take to get to her house ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-9b751fdf9bb942d1adf276b2d37cd6a6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A chef needs to cook 13 potatoes . He has already cooked 5 . If each potato takes 6 minutes to cook , how long will it take him to cook the rest ?\n", "labels": "48", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-ab5b224fe1b34ab3965151d29b0bc6d0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store has 4 bird cages . If each cage has 8 parrots and 2 parakeets in it , how many birds does the pet store have total ?\n", "labels": "40", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-c39c15eb5a6a452399e69e90dc9608d5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A new building needed 11 windows . The builder had already installed 4 of them . If it takes 8 hours to install each window , how long will it take him to install the rest ?\n", "labels": "56", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-1a44fe5615ce470e921b34acba707e94"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Peter has 3 candies stored in boxes . If there are 3 boxes , how many candies must go in each box ?\n", "labels": "1", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-9e0d05f4b8d045d080835247e2cef71e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: You are reading a book with 120 pages . If you want to read the same number of pages each night , how many would you have to read each night to finish in 10 days ?\n", "labels": "12", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-4eb5ecd813ff4451918a489ce0db6d24"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Soft drinks are on sale at the grocery store for 2.99 dollars for a 12 pack . How much would each can of soft drink cost if purchased individually , in dollars ?\n", "labels": "0.25", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-b1a0a1f069ee46ab8dcba3a72eaada6d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mrs. Hilt bought an ice cream cone for 99 cents . How much would 2 ice cream cones cost ?\n", "labels": "198", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-634a4c321b0844daa6464093f0a44345"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A chef needs to cook 9 potatoes . He has already cooked 7 . If each potato takes 3 minutes to cook , how long will it take him to cook the rest ?\n", "labels": "6", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-1504e117710a485599f72d5ef9dd3463"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the fair Kaleb bought 6 tickets . After riding the ferris wheel he had 3 tickets left . If each ticket cost 9 dollars , how much money did Kaleb spend riding the ferris wheel ?\n", "labels": "27", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-08d4f2529a6640e883ca46b702367bb3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jacqueline has 4 boxes of erasers . Each box holds 10 erasers and there are 9 boxes in a case . How many erasers does Jacqueline have ?\n", "labels": "40", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-8693f460ac534776a52b80f2a5c23762"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 2 friends playing a video game online when 2 more players joined the game . If each player had 3 lives , how many lives did they have total ?\n", "labels": "12", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-2e847fdcac5d4fa3803de077078dbc14"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A new virus is released on the internet . The administrator of a department 's LAN is given 5 minutes by a manager to estimate the impact . The administrator samples 12 of the PCs connected to the LAN and finds that 7 are infected . Use a proportion to estimate the number of infected PCs if there are a total of 216 PCs connected to the LAN .\n", "labels": "126", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-8eace0a4efb34c8fa825420502c7a5d9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A magician was selling magic card decks for 2 dollars each . If he started with 5 decks and by the end of the day he had 3 left , how much money did he earn ?\n", "labels": "4", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-fb6ab6a86ca749bd86ba5051cd914868"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each rose was 9 dollars . If April started with 11 roses and had 8 roses left , how much money did she earn ?\n", "labels": "27", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-2b3821037a6e4a3ca4c28464ae8f9531"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Shirley sold 20 boxes of Do - Si - Dos . How many cases of 4 boxes , plus extra boxes does Shirley need to deliver ?\n", "labels": "5", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-e9d08fe383bf4fe584644c39cd5f1bff"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: April 's discount flowers was having a sale where each rose was 4 dollars . If April started with 13 roses and had 4 roses left , how much money did she earn ?\n", "labels": "36", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-42254a2a4c7c4b81bfcd97aa8d855e51"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Wendy earned 5 points for each bag of cans she recycled . If she had 11 bags , but did n't recycle 2 of them , how many points would she have earned ?\n", "labels": "45", "task_name": "task866_mawps_multidiv_question_answering", "task_category": "question_answering", "id": "task866-94acb384b3c742aebac1929b9675d2c5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: During a visit to an orchard , Charlie picked 0.16666666666666666 bag of Golden Delicious apples , 0.16666666666666666 bag of Macintosh apples , and 0.3333333333333333 bag of Cortland apples . How many bags of fruit did Charlie pick in total ?\n", "labels": "0.6666666666666666", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-a44dd637a4dc4a42afeab5cc29cb2475"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A restaurant served 5 cakes during lunch and 6 during dinner today . The restaurant served 3 cakes yesterday . How many cakes were served in total ?\n", "labels": "14", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-b71aa244f81e4511ac3a92595efcb68e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet shelter had 5 puppies when another 35 were brought in . If 8 puppies a day are adopted , how long would it take for all of them to be adopted ?\n", "labels": "5", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-357840221e7b4cf9a31ff5b63a418616"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A new building needed 9 windows . The builder had already installed 6 of them . If it takes 6 hours to install each window , how long will it take him to install the rest ?\n", "labels": "18", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0994042ff51948bbbc54823b5da5b33a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waiter had 22 customers in his section . If 14 of them left and the rest of his tables had 4 people at each table , how many tables did he have ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0425c9ce85034acebb30cc0103531f0e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At a restaurant each adult meal costs $ 2 and kids eat free . If a group of 15 people came in and 9 were kids , how much would it cost for the group to eat ?\n", "labels": "12", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-f6b38bb2d97446b28fe811f74d37773d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Justin needs 61 paper plates for a birthday party . He already has 26 blue plates and 7 red plates . How many more plates should Justin buy ?\n", "labels": "28", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-89ef657b80a44ff1b3754c42c8a16f43"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A new building needed 12 windows . The builder had already installed 6 of them . If it takes 4 hours to install each window , how long will it take him to install the rest ?\n", "labels": "24", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-55fb288d83204541b26f9d11874e5a7e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For a birthday party George bought 10 regular sodas and 22 diet sodas . If his fridge would only hold 4 on each shelf , how many shelves would he fill up ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-8e25086fb5fd480894b9557df252024a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waiter at ' The Greasy Spoon ' restaurant had 39 customers to wait on . During the lunch rush he added another 12 customers . If 49 of the customers did n't leave him a tip , how many customers did leave a tip ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0ea315d62abd404c9666d7cfa7d821f6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Emily was planting vegetables in her garden . She started with 41 seeds and planted 29 of them in the big garden and in each of her small gardens put 4 seeds each . How many small gardens did Emily have ?\n", "labels": "3", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-a629030a4fe140ffa9b85b5192ae849d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Melanie had 19 dimes in her bank . Her dad gave her 39 dimes and her mother gave her 25 dimes . How many dimes does Melanie have now ?\n", "labels": "83", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-2098b704ee52456cbffa6c16e2bd7fc3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paige and her friends were recycling paper for their class . For every 4 pounds they recycled they earned one point . If Paige recycled 14 pounds and her friends recycled 2 pounds , how many points did they earn ?\n", "labels": "4", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-07d61dd1af934cc9be04f4a15a917811"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Vanessa had 13 music files and 30 video files on her flash drive . If she deleted 10 of the files , how many files were still on her flash drive ?\n", "labels": "33", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-76fe9c3d3e44442192f0c918a59a818c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Megan had 93 files on her computer . She deleted 21 of them and put the rest into folders with 8 files in each one . How many folders did Megan end up with ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-66e66a822a434c4eb76e080d302b94b2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A painter needed to paint 10 rooms in a building . Each room takes 8 hours to paint . If he already painted 8 rooms , how much longer will he take to paint the rest ?\n", "labels": "16", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-c8c7985c91604de0bcce33c108eb77b2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At a sale , the cost of a pair of shoes was reduced from 42 dollars to 33.6 dollars . What was the percent of discount ?\n", "labels": "20", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-975f5663d3c8409aa9a95a25a92a2933"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store has 6 bird cages . If each cage has 6 parrots and 2 parakeets in it , how many birds does the pet store have total ?\n", "labels": "48", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-00de12ad49ba448fae11f0b54db6f88e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For Halloween Robin scored 23 pieces of candy . She ate 7 pieces the first night and then her sister gave her 21 more pieces . How many pieces of candy does Robin have now ?\n", "labels": "37", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-29ecf4d4e1c04b21ad3485936e6e6dbf"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The number of gears a machine can make varies directly by how long it operates . If it can make 2088 gears in 8 hours , How many gears can it make in 9 hours ?\n", "labels": "2349", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-21d134e8d9554b1b878b5f8bb771589b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Each chocolate bar in a box cost $ 3 . If a box had 7 bars total and Olivia sold all but 4 bars , how much money would she have made ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-3f3ff113e07948edb4254b57501f24cf"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A toy store had 6 giant stuffed bears in stock when they got another shipment with 18 bears in it . The put the bears onto shelves with 6 on each shelf . How many shelves did they use ?\n", "labels": "4", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-af80859d0192467d86e91c15843f0be8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sam invited 9 friends to a birthday party , but 6 could n't come . If he wanted to buy enough cupcakes so each person could have exactly 2 , how many should he buy ?\n", "labels": "6", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-ee6377fe19df46859233397b85a7e1d3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For the school bake sale Katie made pastries . She baked 7 cupcakes and 5 cookies . After the sale she had 8 to take back home . How many pastries did she sell ?\n", "labels": "4", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-4db56a6802d844eab90cc1e959e52dad"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At lunch a waiter had 7 customers and 4 of them did n't leave a tip . If he got $ 9 each from the ones who did tip , how much money did he earn ?\n", "labels": "27", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-fd40d2ae16bf4112b9170cae8628c5d5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The cafeteria had 47 apples . For lunch they handed out 27 to students and decided to use the rest to make pies . If each pie takes 4 apples , how many pies could they make ?\n", "labels": "5", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-24c52fe9631a49ab881b53598c661428"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 36 students trying out for the school 's trivia teams . If 9 of them did n't get picked for the team and the rest were put into 3 groups , how many students would be in each group ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-3c1be45398d1462da6b52b1b31d48efc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mike bought some toys . He bought marbles for $ 9.05 , a football for $ 4.95 , and spent $ 6.52 on a baseball . In total , how much did Mike spend on toys ?\n", "labels": "20.52", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-c66732e8de614a3396ce70bfe0328eae"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A chef needs to cook 15 potatoes . He has already cooked 6 . If each potato takes 8 minutes to cook , how long will it take him to cook the rest ?\n", "labels": "72", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-55e961d42acf491d8a099bb9038eae40"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nancy uploaded 51 pictures to Facebook . She put 11 pics into one album and put the rest into 8 different albums . How many pictures were in each album ?\n", "labels": "5", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-5e2aeb810db0422bad66941085e17f23"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While playing a trivia game , Frank answered 3 questions correct in the first half and 2 questions correct in the second half . If each question was worth 3 points , what was his final score ?\n", "labels": "15", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-c331f63a88ce4aaa90db18ab7d684e55"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Before starting her shift , a waitress checks to make sure there is enough mustard for her customers . She finds 0.25 bottle at the first table , 0.25 bottle at the second table , and 0.375 bottle at the third table . Altogether , how many bottles of mustard does the waitress find ?\n", "labels": "0.875", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-16ef48428ab1497e9ba6ddad1ec3e017"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For the school bake sale Amy made pastries . She baked 15 cupcakes and 48 cookies . After the sale she had 12 to take back home . How many pastries did she sell ?\n", "labels": "51", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-87e470bdfe704f519ce11283210c016c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tanner saved $ 17 in September . He saved $ 48 in October and $ 25 in November . Then Tanner spent $ 49 on a video game . How much money does Tanner have left ?\n", "labels": "41", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-f7a4e7d9948c42efac180abdf6b54e8b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A worksheet had 3 problems on it . If a teacher had 15 worksheets to grade and had already graded 7 of them , how many more problems does she have to grade ?\n", "labels": "24", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-86b3e7710a4e4e679aa03f04d88fe641"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At lunch a waiter had 10 customers and 5 of them did n't leave a tip . If he got $ 3 each from the ones who did tip , how much money did he earn ?\n", "labels": "15", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-05257957b4ee4eaca12bb26e7d8f10e3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sam had 10 socks . If he threw away 3 old ones that did n't fit and bought 36 new ones , how many socks would he have ?\n", "labels": "43", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-a2f96575ae19424abdbda5bbe3a5175b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A toy store had 4 giant stuffed bears in stock when they got another shipment with 10 bears in it . The put the bears onto shelves with 7 on each shelf . How many shelves did they use ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-969af166c9de479d8f8397026e8cddcc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 47 orchid bushes currently in the park . Park workers will plant 37 orchid bushes today and 25 orchid bushes tomorrow . It took 35 workers to finish the work . How many orchid bushes will the park have when the workers are finished ?\n", "labels": "109", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-29c10676f9834b72af3f9be8257dac4f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For Halloween Bianca received 32 pieces of candy . She ate 12 pieces then placed the rest into piles with 5 in each pile . How many piles could she make ?\n", "labels": "4", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-b810f2a478bb4f2ba46b948b904a3197"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At a company picnic 9 managers and 15 employees decided to start a game of volleyball . If they split into 8 teams how many people would be on each team ?\n", "labels": "3", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-7a7e5c1e83cb4d549be3713c1a396a8e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Debby 's class is going on a field trip to the zoo . If each van can hold 9 people and there are 40 students and 14 adults going , how many vans will they need ?\n", "labels": "6", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0a79f78877614fcfb4f42a6fb482b382"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Bianca and her friends were recycling paper for their class . For every 3 pounds they recycled they earned one point . If Bianca recycled 24 pounds and her friends recycled 3 pounds , how many points did they earn ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-d4701c3f925c41098889cdc9a5b40690"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While playing a trivia game , Mike answered 3 questions correct in the first half and 5 questions correct in the second half . If each question was worth 3 points , what was his final score ?\n", "labels": "24", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-d94a593a8aae446e9589c4141a52f95d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: In fourth grade there were 11 students at the start of the year . During the year 6 students left and 42 new students came to school . How many students were in fourth grade at the end ?\n", "labels": "47", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-906bf040d469439e9273e38267d0f512"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sally bought 4 dozen eggs from the grocery store to bake some cakes . How many eggs did Sally buy ?\n", "labels": "48", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0f0e20f726e84c9fab006544f06d6e38"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store had 56 puppies . In one day they sold 24 of them and put the rest into cages with 4 in each cage . How many cages did they use ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-5e3f541039e84e85988298542fa3f9ad"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Each chocolate bar in a box cost $ 2 . If a box had 13 bars total and Rachel sold all but 4 bars , how much money would she have made ?\n", "labels": "18", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-dc76148e3c9c40c39ed1419604cca902"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: For a birthday party Tom bought 4 regular sodas and 52 diet sodas . If his fridge would only hold 7 on each shelf , how many shelves would he fill up ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-7938ea8dbcc544c9a830e46656c846de"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Will had 59 pieces of clothing to wash . He put 32 of them in one load , but decided to split the rest into 9 equal loads . How many pieces of clothing could go in each of the small loads ?\n", "labels": "3", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-f3f1410dec874578a38d78c4888dda61"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paul had saved up 3 dollars . If he received another 7 dollars for his allowance , how many 5 dollar toys could he buy ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-370e7ee0254e4b94a2a1137e1bea11e1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Tiffany had 6 pages of math homework and 4 pages of reading homework . If each page had 3 problems on it , how many problems did she have to complete total ?\n", "labels": "30", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-5c701914d76747988c3081025f118a64"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Will made 104 dollars mowing lawns over the summer . If he spent 41 dollars buying new mower blades , how many 9 dollar games could he buy with the money he had left ?\n", "labels": "7", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-dde9bdaed41744eb95e6bd4f7b70f20f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store had 38 siamese cats and 25 house cats . During a sale they sold 45 cats . How many cats do they have left ?\n", "labels": "18", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-9f0478443919419caab6d92e2e7145ba"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At a restaurant each adult meal costs $ 3 and kids eat free . If a group of 12 people came in and 7 were kids , how much would it cost for the group to eat ?\n", "labels": "15", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-30f5c1d25e974845ae3fb37db0ea7480"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A dealer pays 6000 dollars for a car . The dealer wants to make a profit that is 25 % of the selling price . For how much should the dealer sell the car ?\n", "labels": "7500", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-907ecdb2f7694a87b4684549155dd00b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Faye was playing a video game where she scores 7 points for each treasure she finds . If she found 2 treasures on the first level and 6 on the second , what would her score be ?\n", "labels": "56", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-4d02ce497aa44233b44ac3e3b6ca9d77"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Convert 0.176 to a percent .\n", "labels": "17.6", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-4af4e64c5dc247d2b26d51f1f8654e97"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Edward was selling his old games . He started out with 35 but sold 19 of them . He packed the rest up putting 8 games into each box . How many boxes did he have to use ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-669811d2ca85454191472cfbab80e0fe"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While on vacation , Debby took 24 pictures at the zoo and 12 at the museum . If she later deleted 14 of the pictures , how many pictures from her vacation did she still have ?\n", "labels": "22", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-90219d842f84422cb9305cec15f046d8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 7 dogwood trees currently in the park . Park workers will plant 5 dogwood trees today and 4 dogwood trees tomorrow . It took 8 workers to finish the work . How many dogwood trees will the park have when the workers are finished ?\n", "labels": "16", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-bca8b75e229b44cdb01a62e6c74fc17e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Edward and his friend were buying trick decks from the magic shop for 6 dollars each . How much did they spend if Edward bought 3 decks and his friend bought 6 decks ?\n", "labels": "54", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-a272f0b795ba43d69f133ee6d2b231e0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A teacher had 6 worksheets to grade . If she graded 4 , but then another 18 were turned in , how many worksheets would she have to grade ?\n", "labels": "20", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0fd81d4fad12448aa4918fa2dfc47a9d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Katie picked 3 tulips and 9 roses to make flower bouquets . If she only used 10 of the flowers though , how many extra flowers did Katie pick ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-3b941759a139410ab606bf9f3a9b7efb"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jacques earns 8.6 dollars per hour . For each hour over 40 hours he earns 12.9 dollars per hour . If he works 55.5 hours in a week , what pay should he receive ?\n", "labels": "543.95", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-b4e7896cf006412f9e0e62666113e8ea"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Melanie , Benny , Sally , and Jessica each have 3 baseball cards . How many baseball cards do they have in all ?\n", "labels": "12", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-161e86da1d2440fc98ab58222eff44b4"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 24 bicycles and 14 tricycles in the storage area at Danny 's apartment building . Each bicycle has 2 wheels and each tricycle has 3 wheels . How many wheels are there in all ?\n", "labels": "90", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-4ec5e8af1c74406c8b300755d90d4284"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sally had 27 Pokemon cards . Dan gave her 41 new Pokemon cards . Sally bought 20 Pokemon cards . How many Pokemon cards does Sally have now ?\n", "labels": "88", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-dd4f94eea2004c14bd7e7876e6028b1e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Joan has saved 6 quarters from washing cars . How many cents does Joan have ?\n", "labels": "150", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-7e4ff7b0acfb45d38fecd4de8fcd1e16"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A renovation project required 0.16666666666666666 truck - load of sand , 0.3333333333333333 truck - load of dirt , and 0.16666666666666666 truck - load of cement . How many truck - loads of material were needed in all ?\n", "labels": "0.6666666666666666", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-ab1016d890894a2180900135d14ced7c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nancy went to 9 football games this month . She went to 8 games last month , and plans to go to 7 games next month . She paid 3 dollars for the tickets . How many games will she attend in all ?\n", "labels": "24", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-ec1fc32debee4a718861e947d19e7e78"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Luke was helping the cafeteria workers pick up lunch trays , but he could only carry 4 trays at a time . If he had to pick up 20 trays from one table and 16 trays from another , how many trips will he make ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-db5f8971daa74916b55e68e7c6f47857"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: John was organizing his baseball cards in a binder with 3 on each page . If he had 8 new cards and 16 old cards to put in the binder , how many pages would he use ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-66e019fa1fd649aa9392ff9479a77b7f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The schools debate team had 28 boys and 4 girls on it . If they were split into groups of 4 how many groups could they make ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-1cf3f5f837144ff8b64fe44bd954faeb"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 65 students trying out for the school 's trivia teams . If 17 of them did n't get picked for the team and the rest were put into 8 groups , how many students would be in each group ?\n", "labels": "6", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-3b49171604e34517a772912fc1b9e0e8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Emily was playing a trivia game . In the first round she scored 16 points and in the second round she scored 33 points . In the last round she lost 48 points . How many points did she have at the end of the game ?\n", "labels": "1", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-de0ac2be94564a5885a8a2b84c486964"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store had 18 puppies . In one day they sold 3 of them and put the rest into cages with 5 in each cage . How many cages did they use ?\n", "labels": "3", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-dff83fd4d763410a820917c0bc6e09b8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The schools debate team had 11 boys and 45 girls on it . If they were split into groups of 7 how many groups could they make ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-33a28cf2f7894f759293c51c7e46ba1d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store had 64 puppies . In one day they sold 28 of them and put the rest into cages with 4 in each cage . How many cages did they use ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-94039f2b306a49de831ddb81b55467ce"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paul bought 6 boxes of chocolate candy and 4 boxes of caramel candy . If each box has 9 pieces inside it , how much candy did he have total ?\n", "labels": "90", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-5d84848f755b4c7a871dee497a75f380"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Chloe was organizing her book case making sure each of the shelves had exactly 6 books on it . If she had 5 shelves of mystery books and 4 shelves of picture books , how many books did she have total ?\n", "labels": "54", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-fdbe94b37949492f9c17e57d31080f7d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Zoe and her friends were recycling paper for their class . For every 8 pounds they recycled they earned one point . If Zoe recycled 25 pounds and her friends recycled 23 pounds , how many points did they earn ?\n", "labels": "6", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-c07619d322a74523bcca5fa792b22d17"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A chef needs to cook 16 potatoes . He has already cooked 7 . If each potato takes 5 minutes to cook , how long will it take him to cook the rest ?\n", "labels": "45", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-8fc44a4c19c8474081415332af854b41"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Zoe had 6 songs on her mp3 player . If she deleted 3 old songs from it and then added 20 new songs , how many songs does she have on her mp3 player ?\n", "labels": "23", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-450d21f12cb64b1fb0d73357dbd58156"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mika had 20 stickers . She bought 26 stickers from a store in the mall and got 20 stickers for her birthday . Then Mika gave 6 of the stickers to her sister and used 58 to decorate a greeting card . How many stickers does Mika have left ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-480d50577bea4fa3b248a5a54967ea30"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Each chocolate bar in a box cost $ 3 . If a box had 9 bars total and Wendy sold all but 3 bars , how much money would she have made ?\n", "labels": "18", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-513aaf9be9c5433987dc1ed613a6218b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Frank was collecting cans for recycling . On Saturday he filled 5 bags up and on Sunday he filled 3 more bags . If each bag had 5 cans in it , how many cans did he pick up total ?\n", "labels": "40", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-a253e3ce705f470a8531afca1d043933"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mrs. Hilt baked pies last weekend for a holiday dinner . She baked 16 pecan pies and 14 apples pies . If she wants to arrange all of the pies in rows of 5 pies each , how many rows will she have ?\n", "labels": "6", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-c98473b0085544769b2952e0120e6225"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A waiter at ' The Greasy Spoon ' restaurant had 26 customers to wait on . During the lunch rush he added another 27 customers . If 27 of the customers did n't leave him a tip , how many customers did leave a tip ?\n", "labels": "26", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-22f61765909641e2b46c16ec67b045b5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Victor was working as a sacker at a grocery store where he made 6 dollars an hour . On Monday he worked 5 hours and on Tuesday he worked 5 hours . How much money did Victor make in those two days ?\n", "labels": "60", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0dfd3fb90d984df68e16fb395f79e9a8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 5 friends playing a video game online when 2 more players joined the game . If each player had 8 lives , how many lives did they have total ?\n", "labels": "56", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-af655ab35bf740458e7ae3ca5407a086"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Jerry was helping the cafeteria workers pick up lunch trays , but he could only carry 8 trays at a time . If he had to pick up 9 trays from one table and 7 trays from another , how many trips will he make ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-95ecc3cf10444e9f93635575532db9bf"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 2 friends playing a video game online when 2 more players joined the game . If each player had 6 lives , how many lives did they have total ?\n", "labels": "24", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-8c4c5502be85463bb665a949895e2a8c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: If apples cost 3.75 dollars for 3 pounds , what is the cost , at the same rate , of 7 pounds of apples ?\n", "labels": "8.75", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-022292579e9c428bbd034382e89bd031"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school cafeteria ordered 43 red apples and 32 green apples for students lunches . But , if only 2 students wanted fruit , how many extra did the cafeteria end up with ?\n", "labels": "73", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-abcfe24dc9ab4b84846542fd3326aec0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Kaleb had 39 pieces of clothing to wash . He put 19 of them in one load , but decided to split the rest into 5 equal loads . How many pieces of clothing could go in each of the small loads ?\n", "labels": "4", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-03830109c9d240c199ceda39223fffae"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A store had 31 oranges in a bin . If they threw away 9 of the old ones and put 38 new ones in the bin how many would be in the bin ?\n", "labels": "60", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-381a01816c6b465a827e6954c8fcd3ba"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: At the town carnival Billy rode the ferris wheel 7 times and the bumper cars 3 times . If each ride cost 5 tickets , how many tickets did he use ?\n", "labels": "50", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-65e46d6258fb45979318fa9c822f078a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sally saw 1 dozen birds in a tree . How many birds did Sally see ?\n", "labels": "12", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-a122f307823543c6a9c49333dd769955"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 4 friends playing a video game online when 5 more players joined the game . If each player had 3 lives , how many lives did they have total ?\n", "labels": "27", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-052d8327ade44db48424c54ed1025c65"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A restaurant sold 63 hamburgers last week . How many hamburgers on average were sold each day ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-bcf11004e4ae4408a033c3bcd4e7c863"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet shelter had 2 puppies when another 34 were brought in . If 4 puppies a day are adopted , how long would it take for all of them to be adopted ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-8189f115841a46ecbae5713628f65fc1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Nancy has 9 five dollars bills . How much money does she have ?\n", "labels": "45", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-457061c0fe414bd2a5300bc3c4e68978"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A company invited 24 people to a luncheon , but 10 of them did n't show up . If the tables they had held 7 people each , how many tables do they need ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-678d235834644681a89265aaf5b21b73"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Roger was helping the cafeteria workers pick up lunch trays , but he could only carry 4 trays at a time . If he had to pick up 10 trays from one table and 2 trays from another , how many trips will he make ?\n", "labels": "3", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-2f1057d3f4c2401ca7e03b77119cbfd5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A florist had 37 roses . If she sold 16 of them and then later picked 19 more , how many roses would she have ?\n", "labels": "40", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-0b77163f8f2f48fbb9a3ceaf984fd182"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school cafeteria ordered 42 red apples and 7 green apples for students lunches . But , if only 9 students wanted fruit , how many extra did the cafeteria end up with ?\n", "labels": "40", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-978979498f474d9da09bbf70b82b2815"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Janet was playing a video game and had 47 lives . In a hard part of the game she lost 23 lives . If she got 46 more lives in the next level , how many lives would she have ?\n", "labels": "70", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-d3af705e49f6414a8351df6dd4f3cc0e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Joan has 9 blue balloons , Sally has 5 blue balloons , and Jessica has 2 blue balloons . How many blue balloons do they have in total ?\n", "labels": "16", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-81e4324c61bf4dac819d187e1b1b6b0c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: George had 30 dollars . For his birthday he got 16 more dollars but spent 38 on a new game . How much money does he have now ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-1523e29ed49e49e0af4bf996168289e2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Luke was selling his old games . He started out with 39 but sold 19 of them . He packed the rest up putting 4 games into each box . How many boxes did he have to use ?\n", "labels": "5", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-91e0db9e86e84aa0a5798548fc12db7e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The cafeteria had 75 apples . For lunch they handed out 19 to students and decided to use the rest to make pies . If each pie takes 8 apples , how many pies could they make ?\n", "labels": "7", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-aec6c496d5454180b2ba09d08ca09e88"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Olivia and her mom were picking carrots from their garden . Olivia picked 20 and her mother picked 14 . If only 19 of the carrots were good , how many bad carrots did they have ?\n", "labels": "15", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-1f01b767520a42f583404b1008d1dc10"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There are 39 dogwood trees currently in the park . Park workers will plant 41 more dogwood trees today and 20 more dogwood trees tomorrow . How many dogwood trees will the park have when the workers are finished ?\n", "labels": "100", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-bafc91fa85db42078d95e3889cb1675e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While on vacation , Megan took 15 pictures at the zoo and 18 at the museum . If she later deleted 31 of the pictures , how many pictures from her vacation did she still have ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-ec507352ad8145178c8153a2c47d7ab3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While shopping for music online , Isabel bought 4 country albums and 5 pop albums . Each album came with a lyric sheet and had 8 songs . How many songs did Isabel buy total ?\n", "labels": "72", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-053d946c17f944e89ec6306f29854e78"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Mike is at the library helping put away books . There are 82 book to put away total but a librarian takes 10 of them and leaves Mike with the rest . If he can fit 9 books on a shelf , how many shelves will he need ?\n", "labels": "8", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-df3624ee24bd441aa6bd959de0166add"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 8 friends playing a video game online when 5 players quit . If each player left had 5 lives , how many lives did they have total ?\n", "labels": "15", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-654f7e817b1c4a7db3974adf956a36a2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: The school cafeteria ordered 6 red apples and 15 green apples for students lunches . But , if only 5 students wanted fruit , how many extra did the cafeteria end up with ?\n", "labels": "16", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-d5c5bba037054ae89de4a233f62122fa"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: In fourth grade there were 35 students at the start of the year . During the year 10 students left and 10 new students came to school . How many students were in fourth grade at the end ?\n", "labels": "35", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-852392abbef54bf49e0048149c7567d8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Sam got 9 pennies for washing clothes , and 7 quarters for mowing lawns . How much money does Sam have ?\n", "labels": "1.84", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-f86a98477609421fa0287f61be167a4a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A company invited 18 people to a luncheon , but 12 of them did n't show up . If the tables they had held 3 people each , how many tables do they need ?\n", "labels": "2", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-42d685764183482aa5bc9d0b29ce2350"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Will bought 7 boxes of chocolate candy and gave 3 to his little brother . If each box has 4 pieces inside it , how many pieces did Will still have ?\n", "labels": "16", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-be47ddc2e044400f8cf220880eaa0589"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Debby had 30 coloring books . If she gave away 7 of them , but then bought 35 more , how many would she have total ?\n", "labels": "58", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-6b9135c36c124a87a1535dec0decd05d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: A pet store had 88 puppies . In one day they sold 34 of them and put the rest into cages with 6 in each cage . How many cages did they use ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-41d72c4ec1014037afa440c34c2ec0c6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Haley baked 20 cupcakes for her school 's bake sale . If her brother , Todd , ate 11 of them how many packages could she make if she put 3 cupcake in each package ?\n", "labels": "3", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-15778aa7a17443eea742369f4ea19cab"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: There were 7 friends playing a video game online when 2 more players joined the game . If each player had 7 lives , how many lives did they have total ?\n", "labels": "63", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-984ba6a57d36461e872b7886835dd36f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: On Wednesday , Joan spent 4 half - dollars playing pinball . The next day , she spent 14 half - dollars on pinball . What was the total amount Joan spent playing pinball ?\n", "labels": "9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-f2cb86626f5e47408a126e0b49d6a215"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Adam had 33 books . If he sold 11 of them and used the money he earned to buy 23 new books , how many books would Adam have ?\n", "labels": "45", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-f06fcb340cf54a64a71807c313aa56b6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Paige was unboxing some of her old winter clothes . She found 6 boxes of clothing and inside each box there were 5 scarves and 5 mittens . How many pieces of winter clothing did Paige have total ?\n", "labels": "60", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-d0d45ff3fa374af3ac6cb79f91cb099d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: How much interest , in dollars , will you pay on a 8100 dollars loan for 1 year if the interest rate is 15 % ?\n", "labels": "1215", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-ec43fc44134d4c199d43a50554c56a82"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Will invited 9 friends to a birthday party , but 4 could n't come . If he wanted to buy enough cupcakes so each person could have exactly 8 , how many should he buy ?\n", "labels": "40", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-e702576918c34f9d80813c16f311dcc1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Irwin 's family went on a camping trip in the mountains . On the first day , they hiked from their car to the campsite . First , they hiked 0.2 mile from the car to a stream , and 0.4 mile from the stream to a meadow . Then they hiked 0.1 mile from the meadow to the campsite . How many miles did Irwin 's family hike in all ?\n", "labels": "0.7", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-d6fae23f6ecf49a8aed322fd58c78378"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While shopping , Maria bought 40 green towels and 44 white towels . If she gave her mother 65 of them , how many towels did Maria end up with ?\n", "labels": "19", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-5a153ab420cd4e2eaa02f3ad5dddde82"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While shopping for music online , Janet bought 6 country albums and 2 pop albums . Each album came with a lyric sheet and had 9 songs . How many songs did Janet buy total ?\n", "labels": "72", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-dc2af41d62b646d997f64e5f80183362"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: Vanessa and her mom were picking carrots from their garden . Vanessa picked 17 and her mother picked 14 . If only 24 of the carrots were good , how many bad carrots did they have ?\n", "labels": "7", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-73b5a8d1105945f7937cc0999f2397b2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\nInput: While digging through her clothes for ice cream money , Joan found 15 dimes in her jacket , and 4 dimes in her shorts . How much money did Joan find ?\n", "labels": "1.9", "task_name": "task867_mawps_multiop_question_answering", "task_category": "question_answering", "id": "task867-5f84741d774c4e4b9baf0e1c65452932"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Heather has 60 oranges . Russell takes 35 away . How many oranges will Heather have ?\n", "labels": "25", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d70538f8ac45442986863e18ed913f2e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: 231 birds were sitting in a tree . Some more fly up to the tree . Then there were 312 birds in the tree . How many more fly up to the tree ?\n", "labels": "81", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a1a65afae3034d0b83d973ddd471003b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: If there are 7 crayons in a box and Gerald puts 6 more crayons inside , how many crayons are in the box ?\n", "labels": "13", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-88308e19c84c43c3ae2469e7825900ce"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: John walks 0.7 miles to school and Nina walks 0.4 miles to school . How much farther does John walk than Nina ?\n", "labels": "0.3", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-47c10c36fcfc4505831df7206bc44600"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Tyler had 15 dogs . Each dog had 5 puppies . How many puppies does Tyler now have ?\n", "labels": "75", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-227a2ddbf3c44f24a51c5eef42d07753"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: James has 232 balloons . Amy has 101 balloons . How many more balloons does James have than Amy ?\n", "labels": "131", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-43ba72d9bca04495b631e813457b2dff"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A farmer estimates that he will harvest 48097 bushels of wheat . The weather is perfect during the growing season , so he harvests 684 bushels of wheat than expected . How many bushels of wheat does the farmer harvest ?\n", "labels": "48781", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-fbe5cda3c17e42eab4ba61707cb7bd35"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Diana has 3840 erasers . If she shares them among 48 friends , how many erasers does each friend get ?\n", "labels": "80", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5e535d8808c1441491721744b30d96bc"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: It takes 4 feet of cotton to make a tee - shirt . How many tee - shirts can be made with 60 feet of material ?\n", "labels": "15", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d904430b61334ae9ac7c4a3eb5e31733"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Fred had 7 dimes in his bank . His sister borrowed 3 of his dimes . How many dimes does Fred have now ?\n", "labels": "4", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-013b22fcfbb746189faf6f5d7c511bc0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: For the fifth grade play , the chairs have been put into 27 rows with 16 chairs in each row . How many chairs have been put out for the play ?\n", "labels": "432", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-bc447583d93b443f96081d9e6ea0ad7c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Isabel bought 900 pieces of paper . She used 156 pieces of the paper . How many pieces of paper does she have left ?\n", "labels": "744", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-29a712be6953426c8be918ec7d46fc6d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Lori has 30 marbles . If she shares them among 5 friends , how many marbles does each friend get ?\n", "labels": "6", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-1df3f5d2ecbb432fb104da7eacd72d94"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sandy grew 6 carrots . Sam grew 3 carrots . How many carrots did they grow in total ?\n", "labels": "9", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-7bdf3750ab49470084dc502646e595d9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: At the hardware store , 0.25 the nails are size 2d and 0.5 the nails are size 4d . What fraction of the nails are either size 2d or 4d ?\n", "labels": "0.75", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c2181109693b44a7b6dcb3cb4fc6e960"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: I have 648 pencils . If I put 4 pencils in each pencil box , how many pencil boxes will I fill ?\n", "labels": "162", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d712cca628994bfc91752c8c77e950e0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: At the beach , Janet and her sister both built sandcastles and then measured their heights . Janet 's sandcastle was 3.6666666666666665 feet tall and her sister 's was 2.3333333333333335 feet tall . How much taller was Janet 's sandcastle than her sister 's ?\n", "labels": "1.3333333333333333", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-4d08e66484a24ad8960d298220fead5c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Each ticket costs $ 9 . How much do 4 tickets cost ?\n", "labels": "36", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-65489ab9d7a54da781dcb6ae956e7c6e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mr. Guzman bought 48 doughnuts packed equally into 4 boxes . How many doughnuts were in each box ?\n", "labels": "12", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9eff99b5d6f546f4a2b86ac3672dd909"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mike had 33 quarters and 87 nickels in his bank . His dad borrowed 75 nickels from Mike . How many nickels does he have now ?\n", "labels": "12", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-0a58cdb33f2d4f1c9f73f7ca69b44612"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A petri dish originally contained 600 bacteria . A scientist let the bacteria grow and now there are 8917 of them . How many more bacteria are there now ?\n", "labels": "8317", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-068d488ac97f463aa22fdc77411caedd"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 5 oak trees currently in the park . Park workers will plant 4 oak trees today . How many oak trees will the park have when the workers are finished ?\n", "labels": "9", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c5dee45971ec4bc8a921f00db9a9a666"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Wendy ran 19.833333333333332 miles and walked 9.166666666666666 miles . How much farther did Wendy run than walk ?\n", "labels": "10.666666666666666", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-8ecd2999a8514e45a2065194e1be1168"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mary found 2 seashells and Keith found 5 seashells on the beach . When they cleaned them , they discovered that 9 were cracked . How many seashells did they find together ?\n", "labels": "7", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b69ce5e95f1f42a7b6f81489e371cf96"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sam found 18 seashells and Mary found 47 seashells on the beach . How many seashells did they find together ?\n", "labels": "65", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-14c8eef503574a7c93b44fec5239cf0f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Cade had 87 marbles . He gave 8 to Dylan . How many does he have left ?\n", "labels": "79", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-153ba237b1b34c84817ace7faf8779c3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mike found 6 seashells and 4 starfish , but 4 of the seashells were broken . How many unbroken seashells did Mike find ?\n", "labels": "2", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-93878f0a0de245b4892e3a48da035e46"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: While taking inventory at her pastry shop , Kelly realizes that she had 0.4 box of baking powder yesterday , but the supply is now down to 0.3 box . How much more baking powder did Kelly have yesterday ?\n", "labels": "0.1", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9ec986e292d44ed6afbdf33c2374e8f5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 10 stickers on a page . If you have 22 pages of stickers , how many stickers do you have ?\n", "labels": "220", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-18e5e813cdf743bbbd7c9539e27d19a7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Tom bought a skateboard for $ 9.46 , and spent $ 9.56 on marbles . Tom also spent $ 14.5 on shorts . In total , how much did Tom spend on toys ?\n", "labels": "19.02", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3d1fc3ec39e84406bded56cfb4091862"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Emily sprinted to Timothy 's house . It is 10 miles from Emily 's house to Timothy 's house . It took Emily 2 hours to get there . How fast did Emily go ?\n", "labels": "5", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-079283ce39374498a5c6d2a4e8a9c7fa"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Ralph starts with 74 peanuts . He loses 59 . How many peanuts does Ralph end with ?\n", "labels": "15", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3148f31f35864f3ca24e0cb90ae81815"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A dust storm sweeps across the prairie . It covers 64535 acres of the prairie in dust , but leaves 522 acres untouched . How many acres does the prairie cover ?\n", "labels": "64013", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e2c3681946044eae933133a297f1d553"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Kimberly went to the store 3 times last month . She buys 7 peanuts each time she goes to the store . How many peanuts did Kimberly buy last month ?\n", "labels": "21", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d87685869d674154b4d9cad87cc0b2e8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: When Jake had 1 cat , he needed to serve 0.5 can of cat food each day . Now that Jake has adopted a second cat , he needs to serve a total of 0.9 can each day . How much extra food is needed to feed the second cat ?\n", "labels": "0.4", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-cd6183871d2c4f228a5ae83cc1b87d7a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Joan picked 37 oranges and Sara picked 10 oranges . Alyssa picked 30 pears . How many oranges were picked in total ?\n", "labels": "47", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e2b8b27bd83b4ac9b178166dcab1a269"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Paula has 6 boxes of peanuts . Each box holds 4 peanuts . How many peanuts does Paula have ?\n", "labels": "24", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e1cca540b287461bbc84e0faf8548bf3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Fred went to 36 basketball games this year , but missed 35 . He went to 11 games last year . How many basketball games did Fred go to in total ?\n", "labels": "47", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-311d43eec2b6480c98a33edfe700631c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: The Hawks scored 3 touchdowns worth 7 points each . How many points do they have ?\n", "labels": "21", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b4d5df280ecb490799f44fb721cf541e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: It took me 6 minutes to walk 500 meters . How fast was I travelling ?\n", "labels": "83.33", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-fb2740602f154774bd96ac1be165543c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sally has 6 blue balloons . Fred has 3 times more blue balloons than Sally . How many blue balloons does Fred have now ?\n", "labels": "18", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-169454d7d85242d7a0ef571ade5cbd7a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Shawn has 13 blocks . Mildred has with 2 blocks . Mildred finds another 84 . How many blocks does Mildred end with ?\n", "labels": "86", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-8b3e08fb4c584aefab54458bab50186c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A restaurant served 9 hot dogs during lunch and 2 during dinner today . It served 5 of them yesterday . How many hot dogs were served today ?\n", "labels": "11", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6a96af9d2ee143df8dec387c99682957"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Joan found 6 seashells and Jessica found 8 seashells on the beach . How many seashells did they find together ?\n", "labels": "14", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6648f31f4d3d49f0864f4532c7af6bfe"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 79 pencils in a box . Eric takes 4 pencils . How many are left ?\n", "labels": "75", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-16802eb22c78455c997d78a6d7a0f048"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 39 scissors and 22 pencils in the drawer . Dan placed 13 scissors in the drawer . How many scissors are now there in total ?\n", "labels": "52", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-797aba02d4e047cd97e889de67c078c9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: An oil pipe in the sea broke . Before engineers started to fix the pipe , 6522 liters of oil leaked into the water . While the engineers worked , the pipe leaked 5165 liters of oil . In all , how many liters of oil leaked into the water ?\n", "labels": "11687", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-fff6163baedb4fc2b6e8be351916463a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: If there are 7 eggs in a box and Daniel puts 4 more eggs inside , how many eggs are in the box ?\n", "labels": "11", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b3677b48e81d4db98b74f47abac51f0b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A ship full of grain crashes into a coral reef . By the time the ship is fixed , 49952 tons of grain have spilled into the water . Only 918 tons of grain remain onboard . How many tons of grain did the ship originally contain ?\n", "labels": "50870", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-aeb7b46588274a6a832c6928067c236a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: 0.5 the students in the band are in the trumpet section . 0.125 the students in the band are in the trombone section . What fraction of the students in the band are in either the trumpet section or the trombone section ?\n", "labels": "0.625", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-0df2b8f4ccc24d5b87005fafa5e5e6df"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Dan has 64 violet marbles , he gave Mary 14 of the marbles . How many violet marbles does he now have ?\n", "labels": "50", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-547c1d18f8fe4b108af083bb947a26e2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Andrew spent 3 day working on his Science report . He worked for 2.5 hours each day . How many hours did he work ?\n", "labels": "7.5", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5ce33bdb62d54e119ac75e954d9585f1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Cindy \u2019 s mom baked 1215 cookies . Paul \u2019 s dad baked 1112 cookies . They both brought them to school for a party . How many cookies did they have altogether ?\n", "labels": "2327", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5649659dc05944929ab67f3144089b25"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Christian and the junior ranger brought a bag of 140 nails as they visited every station assigned to the junior ranger . If they left exactly 7 nails in every station they visited , how many stations did Joline and the junior ranger visit ?\n", "labels": "20", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3c70063a2cab4abbae3f040283f35671"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Larry starts with 91 cards . 17 are eaten by a hippopotamus . How many cards does Larry end with ?\n", "labels": "74", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-78845fe9d4fd4b46958a3217fb0bc81d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Rachel removes 47 bottle caps from a jar . There were originally 87 bottle caps in the jar . How many bottle caps are left in the jar ?\n", "labels": "40", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-ad1bc31d711041e299b5aa46ebc78ae7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Each bag contains 23 pounds of oranges . How many pounds of oranges are in 45 bags ?\n", "labels": "1035", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-af713d702b1346e4abe20671332b3f74"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mrs. Wong had 30 Valentines . She gave 8 Valentines to her children . How many does she have left ?\n", "labels": "22", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-276fd3e5cc5a461291bc51473e33c1b8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: 256 students are going to the zoo . They have to be divided into groups so that each teacher has one group . There are 8 teachers . How many students will be in each group ?\n", "labels": "32", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9cbf63c63a1a4cfeae205659001fa9ed"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: If Harold split 15 apples between 3 people in her class and kept the left overs , how many apples did each classmate get ?\n", "labels": "5", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-8f2e8b10fddf40d195e26e70ea2ed318"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Tom has 30 violet balloons , he gave Fred 16 of the balloons . How many violet balloons does he now have ?\n", "labels": "14", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a28946c4b7d2403497852ff22b87f553"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 34 pencils and 49 crayons in the drawer . Dan took 22 pencils from the drawer . How many pencils are now in the drawer ?\n", "labels": "12", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-7c3ff32d427d42659b2129970e49455c"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A perfect score is 21 points . How many points would you have after 3 perfect games in a row ?\n", "labels": "63", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9418ce3fe9dc4da891d14a206764a34f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Paul got a box of 479 crayons for his birthday . At the end of the school year , he only had 134 left . How many crayons had been lost or given away ?\n", "labels": "345", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-76e35631fde04293b41f0b9e6766c019"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: 64 children were riding on the bus . At the bus stop , some more children got on the bus . Then there were 78 children altogether on the bus . How many children got on the bus at the bus stop ?\n", "labels": "14", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a54757b2446a4ca78983695df9908d9e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A bee has 6 legs . How many legs do 8 bees have ?\n", "labels": "48", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6f49a4933f584db4b41599653af13961"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: For the final act , the circus brought out dancing animals wearing crowns . If each crown is made with 7 different colored feathers , how many feathers are needed for 934 crowns ?\n", "labels": "6538", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5716165029db4b00abdb7f9972d2f5f6"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sara picked 6 pears and Tim picked 5 pears from the pear tree . How many pears were picked in total ?\n", "labels": "11", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-87c79cb430754eb7a34675e17ad3b71f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Melissa has 70 oranges . John takes 19 away . How many oranges will Melissa have ?\n", "labels": "51", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6b8d9e3de1074fed98dab0df1dee3fc4"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Johnny practiced for the track team and ran 3 laps per minute . How many minutes did it take Johnny to run 10 laps ?\n", "labels": "3.33333", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-4e7303c06a5246a09461e2bc42093ff5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Bryan has 50 skittles . Ben has 20 M & M \u2019 s . Who has more ? How many more does he have ?\n", "labels": "30", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-1aea3c185e7d4f0791d582f4084a78e5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 34 dogwood trees currently in the park . Park workers will plant 49 more dogwood trees today . How many dogwood trees will the park have when the workers are finished ?\n", "labels": "83", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b107b778f1634bb99a39932186534791"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 33 walnut trees currently in the park . Park workers will plant 44 walnut trees today . How many walnut trees will the park have when the workers are finished ?\n", "labels": "77", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-716875bdef994cb08f67c583967e8cc8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Norma starts with 47 bananas . She loses 45 . How many bananas does Norma end with ?\n", "labels": "2", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-8114342685624d01ad79520075887a9e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mary had 7 nickels in her bank . Her dad gave her 5 nickels . How many nickels does Mary have now ?\n", "labels": "12", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-ebf70e3cf5074987ad2b6ff80573ce4b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Joan 's cat had 8 kittens . She gave 2 to her friends . How many kittens does she have now ?\n", "labels": "6", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-513a709bbd5047b49bed5f98fffe3483"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Dan spent $ 11.76 on a snake toy , and a cage cost him $ 14.54 . Dan also found a dollar bill on the ground . What was the total cost of Dan 's purchases ?\n", "labels": "26.3", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6d11be7b48da460e96ff94989b6aeb6b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Peter starts with 8 erasers . Bridget gives Peter 3 more . How many erasers does Peter end with ?\n", "labels": "11", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3b9a5a2dc13b42a2a3ff68365695dd8e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Michael has some fish in his fish tank . Ben gave him 18 more fish . Now he has 49 . How many fish did he have to begin with ?\n", "labels": "31", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-ee3bf757285e43b18b17c744965cfd9a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: While playing a video game , Paul scored 3103 points . He and his cousin together have a total of 5816 points . How many points does Paul 's cousin have ?\n", "labels": "2713", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-0ef3976df3504f79b92075f588c6a2ad"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mrs. Hilt has 40 markers . They are divided equally into 7 packages . Mrs. Hilt wants to know how many markers are in each package ?\n", "labels": "5", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-297e2d6afb3c4730ade27a24254239c3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There were 28 girls and 35 boys on the playground at recess . How many children were there in all ?\n", "labels": "63", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c840f7745f8b487a8b4abbc0eb242594"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mrs. Hilt ate 5 apples every hour . How many apples had she eaten at the end of 3 hours ?\n", "labels": "15", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-963f8410dc47493ea35ae75302e6c7e1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sarah sold 24 boxes of Lemon Chalet Cremes . How many cases of 12 boxes , plus extra boxes does Sarah need ?\n", "labels": "2", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a6b108272b8144de8ebe34ed40c74349"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Your class is having a pizza party . You buy 5 pizzas . Each pizza has 4 slices . How many slices is that altogether ?\n", "labels": "20", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5311eb2c4d594886a1184af39e06776b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sally picked 7 lemons and Mary picked 9 lemons from the lemon tree . How many lemons were picked in total ?\n", "labels": "16", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b4179acde2c04a879465c322cca411ca"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Fred earns $ 12.5 an hour cleaning houses . If he works for 8 hours , how much money will he make ?\n", "labels": "100", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6276246ce56b42028506f6a601d033c0"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Joan has 40 blue balloons Melanie has 41 blue balloons . How many blue balloons do they have in total ?\n", "labels": "81", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b23aa0c7a76346349cfbe670843eecf1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Connie had some marbles . She gave 183 to Juan . Now she has 593 marbles left . How many did she have to start with ?\n", "labels": "776", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-0281ec1b817a427cbbff777668dbdabe"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Students at Arcadia schools are participating in a coat drive . 9437 coats have been collected so far . 6922 coats were collected from the high schools , and the rest from the elementary schools . How many coats were collected at the elementary schools ?\n", "labels": "2515", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-7e3f6eee6e1e4ae89633220402580b14"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A marine biologist measured 1 fish that was 0.3 foot long and a second fish that was 0.2 foot long . How much longer was the first fish ?\n", "labels": "0.1", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6ccdad47299847f18c815357b23917f2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Julian is writing a comic book . His story has 143 frames in all . If he wants to put exactly 11 frames on each page , how many pages would he have ?\n", "labels": "13", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-fab85cbdb2634a9c9f29acafd15a112b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Diana starts with 65 bottle caps . 4 are eaten by a hippopotamus . How many bottle caps does Diana end with ?\n", "labels": "61", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-2775b6d676024b9d9c4891ca2f7e8614"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Charlie has 31 more snowballs than Lucy . She has 19 snowballs . How many does Charlie have ?\n", "labels": "50", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-54756778668841599d5c5fdf09f65c4d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Tina has 82 bananas . She gets 3 more from Joyce . How many bananas does Tina have in all ?\n", "labels": "85", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e06b11c304a841d89c02ca87ba8df42a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Jason had 49 quarters in his bank . His dad gave him 25 more quarters . How many quarters does he have now ?\n", "labels": "74", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9944f4d0a8db4b3e8398e891ba922608"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: I have 80 cents to buy candy . If each gumdrop costs 4 cents , how many gumdrops can I buy ?\n", "labels": "20", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-aa255324b54540839d270c7f6a1d5c3a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: While making pastries , a bakery used 0.2 bag of wheat flour and 0.1 bag of white flour . How many bags of flour did the bakery use in all ?\n", "labels": "0.3", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b8b73ead4f1045febd5a9b154abd13d7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 54 scissors in the drawer . Keith placed 22 scissors in the drawer . How many scissors are now there in all ?\n", "labels": "76", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-169127e91b524aa1a80a7b7eb0bce4d1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: If Karen sold 36 boxes of Tagalongs , how many cases of 12 boxes does Karen pickup from the cookie mom ?\n", "labels": "3", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-723dd1e559ee42478d142dd735dfe6d8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 9 crayons in the drawer . Benny placed 3 crayons in the drawer . How many crayons are now there in total ?\n", "labels": "12", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-4d6dee07db504da896377a565cdf03c8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There were 44 boys and 53 girls on the playground at recess . How many children were on the playground in all ?\n", "labels": "97", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-4cba7545df61466c80b332d13a194308"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mrs. Santiago has 58 red roses . Mrs. Garrett has 24 . How many more red roses does Mrs. Santiago have than Mrs. Garrett ?\n", "labels": "34", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3d49005b870e4416a2d9a2af195b6591"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: 18 children were riding on the bus . At the bus stop , some more children got on the bus . Then there were 25 children altogether on the bus . How many children got on the bus at the bus stop ?\n", "labels": "7", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e070dd429d834536ae4a73ef19a18e20"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 11 rulers and 34 crayons in the drawer . Tim placed 14 rulers in the drawer . How many rulers are now there in all ?\n", "labels": "25", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b4689fcb41ae48dcaa1d886ade1ae2f5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sue \u2019 s family went on vacation . Her mom drove the car at 60 mph . They camped at a campground after traveling for 5 hours . How far was the campground from their home ?\n", "labels": "300", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-509c2e585b74435ea24e1d36cb23484f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Cody is 14 years old . His grandmother is 6 times as old as he is . How old is Cody \u2019 s grandmother ?\n", "labels": "84", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d9cb144aae1f40ca9a615a08707cd834"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Kelly had 56 apples . How many more apples does Kelly need to pick to have 105 apples altogether ?\n", "labels": "49", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-be8ff58d0808449abe539c008b3f6a52"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Connie has 41 red markers and 64 blue markers . How many markers does she have altogether ?\n", "labels": "105", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-7e8e44f4812547c1b2f3bb3ab1415b7d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A farmer estimates that he will harvest 48097 bushels of wheat . The weather is perfect during the growing season , so he harvests 684 more bushels of wheat than expected . How many bushels of wheat does the farmer harvest ?\n", "labels": "48781", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-937f2c6cc42341c4b84e756cd113f156"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Kyle jogged 1.125 laps in P.E . class and 2.125 laps during track practice . How many laps did Kyle jog in all ?\n", "labels": "3.25", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c3cb62b0d72b48c7bcaf74b2d8355c04"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There were a total of 13 hockey games a month . The season is played for 14 months . How many hockey games are in the seasons ?\n", "labels": "182", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-be40412a1cbc4ff69b7f68efc71d5a63"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A teacher has 344 pieces of candy . If there are 43 students , and the candy is divided evenly , How many pieces will each student get ?\n", "labels": "8", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-1ae2789789fb4d9c95080cda42daf24a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Irene just bought a new lamp for her bedside table . The old lamp was 1 foot tall and the new lamp is 2.3333333333333335 feet tall . How much taller is the new lamp than the old lamp ?\n", "labels": "1.3333333333333333", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d0d120679956417ab8d8abce1881022d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Lucy has an aquarium with 212 fish . She wants to buy 68 more fish . How many fish would Lucy have then ?\n", "labels": "280", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-0e944188328e40ffa7469dacaaa68464"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 112 short trees and 119 tall trees currently in the park . Park workers will plant 105 short trees today . How many short trees will the park have when the workers are finished ?\n", "labels": "217", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5468157116c24d9da570fa9f1b653c8e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: In a school , there are 542 girls and 387 boys . How many pupils are there in that school ?\n", "labels": "929", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-06149211e38b42efbbc5de1b2d0204da"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 9 crayons in the drawer . Benny placed 3 more crayons in the drawer . How many crayons are now there in total ?\n", "labels": "12", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e73ed7bf512d4e6fa21185ea8535dced"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Helen starts with 9 oranges . She gets 29 more from Ann . How many oranges does Helen end with ?\n", "labels": "38", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e37750e6083342c9a338cb745639da61"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Molly owns the Wafting Pie Company . This morning , her employees used 816 eggs to bake pumpkin pies . If her employees used a total of 1339 eggs today , how many eggs did they use in the afternoon ?\n", "labels": "523", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b74899b3f8be4a79b19c315392f7b9ed"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sarah had some trucks . She gave 13 to Jeff , and now she has 38 trucks left . How many trucks did Sarah have to start with ?\n", "labels": "51", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b7411540931c47368114a15b9e4c9969"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Maria has 3 boxes of eggs . Each box holds 7 eggs and there are 8 boxes in a case . How many eggs does Maria have ?\n", "labels": "21", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3f3c6ef05e9b425f87d0d6f77368c918"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: 13 ducks are swimming in a lake . 20 more ducks come to join them . How many ducks are swimming in the lake ?\n", "labels": "33", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-42d0829ad3a34b63a4954a32f59def83"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sean has 55 blocks . 29 are eaten by a hippopotamus . How many blocks will Sean have ?\n", "labels": "26", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c4a68d4ef2204726aecc662511e33287"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 54 scissors in the drawer . Keith placed 22 more scissors in the drawer . How many scissors are now there in all ?\n", "labels": "76", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c123c000fd154c19b0fcb456dd858eb5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Michelle has 2 crayons . Janet has 2 crayons . If Janet gives all of her crayons to Michelle , how many crayons will Michelle have ?\n", "labels": "4", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-15dd38f02a3a4625be331b93af39f976"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 14240 books in a library . They are arranged on shelves that hold 8 books each . How many shelves are in the library ?\n", "labels": "1780", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-ea3eb3db5d14488ab5cdd93512184e76"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mary had 33 Pokemon cards , and 6 were torn . Sam gave Mary 23 new Pokemon cards . How many Pokemon cards does Mary have now ?\n", "labels": "56", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c6fc2216aa6a4e74ad160f5bd7499758"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: It took Carl 5 hours to ride to Ralph 's house at 2 miles per hour . How far is it between Carl 's house and Ralph 's house ?\n", "labels": "10", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a0fbd142f9694b06a91fadec972d590f"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Pamela bought 9.8 ounces of sugar , and she spilled 5.2 ounces of it on the floor . How much is ?\n", "labels": "4.6", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9d5cc1383fe34c94ae4341fb592b86d8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Jazmin had 1209 dolls and Geraldine had 2186 dolls . If they put their dolls together , how many would they have ?\n", "labels": "3395", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-ce4710c51b8e4e89b6fe3c2b1ff645b1"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sandy had 26 pet fish . She bought 6 more fish . How many pet fish does Sandy have now ?\n", "labels": "32", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c24f4e7305f44ebfb34bcdbd7fab0659"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: The distance measured on a map varies directly with the actual distance . If 1 cm represents 25 kilometers , how many kilometers are represented by 7 cm ?\n", "labels": "175", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-36f51def2c5c4b2f8b1b9331c8dc028e"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Mrs. Hilt baked pies last weekend for a holiday dinner . She baked 16 pecan pies and 14 apples pies . If she wants to arrange all of the pies in rows of 5 pies each , how many rows will she have ?\n", "labels": "30", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9eba3a081a1c4501894d8ed3e6137740"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Martha bought 18 small cakes . She has 3 children . She would like to divide the cakes among her children so that each child gets the same amount . How many cakes would each child get ?\n", "labels": "6", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b3877f51a3bc4e189d17cb11055812b8"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Kelly has 121 Nintendo games . How many does Kelly need to give away so that Kelly will have 22 games left ?\n", "labels": "99", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-e152906c119044c5be0aebf9e11a7c28"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Elisa has 37 dollars . How many more dollars does she have to earn to have 53 dollars ?\n", "labels": "16", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-8af6439d9dde4088acd31c3a67209077"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Eric wants to split a collection of peanuts into groups of 8 . Eric has 64 peanuts . How many groups will be created ?\n", "labels": "8", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-35a5ac36aea94e388e387770357a3d11"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: A chocolate chip cookie recipe calls for 2 cups of chocolate chips . You want to make 23 recipes for a bake sale . How many cups of chocolate chips will be needed to make all the cookie recipes ?\n", "labels": "46", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-52bde5cc18f94015bbefb2fa40001195"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 84 leaves . There are 139 ladybugs on each leaf . How many ladybugs are there in all ?\n", "labels": "11676", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-2cbe09a93c6042faa01f3b9e2e47d000"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Upon arriving at the circus , they went to the ticket booth and asked how much each ticket cost . If each ticket costs 44 dollars and they bought 7 tickets , how much money did they spend on tickets ?\n", "labels": "308", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-fc67ea2644494848a3dbe97db262f837"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Alec and his roommates ate 3.25 pints of ice cream on Friday night and 0.25 pint of ice cream on Saturday night . How many pints did they eat in all ?\n", "labels": "3.5", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-c645707ef2b44bda9b76233aa9fd6a2a"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Tim found 37 seashells and Sally found 13 seashells on the beach . When they cleaned them , they discovered that 25 were cracked . How many seashells did they find together ?\n", "labels": "50", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-25441026c6a945d4848aea3c200dfce5"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Nancy starts with 91 bottle caps . She finds another 88 . How many bottle caps does Nancy end with ?\n", "labels": "179", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a962fa6d6bc047baa6b8621f7289d88b"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Joan grew 8 watermelons and 4 turnips . Tom grew 9 watermelons . How many watermelons did they grow in total ?\n", "labels": "17", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3cad08b2c8544bab85040813dac9d418"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 48 pencils and 40 scissors in the drawer . Joan placed 29 pencils in the drawer . How many pencils are now there in all ?\n", "labels": "77", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-2b10cb4cf5e14066ad35d1023969df55"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Jesse \u2019 s room is 12 feet long and 8 feet wide . How much carpet does she need to cover the whole floor ?\n", "labels": "96", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-89060f82869a49d8bd545250a6730730"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Before the recent housing boom , there were 1426 houses in Lawrence County . Now , there are 2000 houses . How many houses did developers build during the housing boom ?\n", "labels": "574", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-f351561973954176b2b445915c1fc0e2"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Sam had 9 dimes in his bank . His dad gave him 7 dimes . How many dimes does Sam have now ?\n", "labels": "16", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-66c7299d4466471b8801c6308921e862"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Marlee has 12 guests coming to her Halloween party . Each table will hold 3 guests . How many tables will she need ?\n", "labels": "4", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-5c14b7fc81ab4118b26c54f077de6bbe"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Roger has 92 blocks . 2 are eaten by a hippopotamus . How many blocks will Roger have ?\n", "labels": "90", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-d3f0536cc6df4d24a80a5a8fad3803f3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Aaron starts with 81 erasers . He gives 34 to Doris . How many erasers does Aaron end with ?\n", "labels": "47", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-9898371b5ca647609b30f4f7ab91823d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 139 erasers and 118 scissors in the drawer . Jason placed 131 erasers in the drawer . How many erasers are now there in total ?\n", "labels": "270", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-6b474e40f9424ab39d0fb25b7abc9b2d"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: The Litter Patrol picked up 10 glass bottles and 8 aluminum cans on Saturday . How many pieces of litter did they pick up altogether ?\n", "labels": "18", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-090438e9d0904ff1aff2de9015021804"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 6 candies in a pile on the desk . Each candy comes in a package of 15 . 4 candies are added to the pile . How many candies are there in the pile ?\n", "labels": "10", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-3600bdd4802e45a588b6cd020ea89145"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Ellen had 380 legos , but Ellen lost 57 of them . How many legos does Ellen have now ?\n", "labels": "323", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-f9855f6e9ab1439782b401215569a9b7"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Pamela starts with 30 bottle caps . Jean takes 26 away . How many bottle caps does Pamela end with ?\n", "labels": "4", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b18135a6899445c6ad3f43648c2895f3"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Martin has 8 boxes of crayons . Each box holds 7 crayons . How many crayons does Martin have ?\n", "labels": "56", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-953ab0f8ec414de7bb51f8f33d8334d9"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Teresa starts with 52 bananas . She gets 2 more from Rachel . How many bananas does Teresa end with ?\n", "labels": "54", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-a059993359d8431788380c4873382f94"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: There are 22 walnut trees currently in the park . Park workers will plant walnut trees today . When the workers are finished there will be 55 walnut trees in the park . How many walnut trees did the workers plant today ?\n", "labels": "33", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-2aa103cfa6264106aea61f74e5a42872"}, {"text": "Definition: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.\nInput: Jorge scored 156 goals playing soccer last season . This season he scored 187 goals . What is the total number of goals Jorge scored ?\n", "labels": "343", "task_name": "task868_mawps_singleop_question_answering", "task_category": "question_answering", "id": "task868-b132dded6d0e4599b90fe3e834158231"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: SMRT-Y Kit Includes: 1  Controller User Interface. 2  In-Ground Soil Moisture Sensor. 3  Anodized, rust-proof screws, 1.5 (two per package) 4  Wire nuts \u2013 5 blue, 2 gray, 1 yellow. 5  Multilingual instruction manual, \u201cQuick Start\u201d Guide and sticker that reads: \u201cThis controller is connected to a Rain Bird Soil Moisture Sensor\u201d. Turns any controller into a smart controller. The SMRT-Y Soil Moisture Sensor Kit is an easy to install add-on to any standard irrigation system that directly links your irrigation controller to your landscapes moisture requirements. Program the controller to water every day that irrigation is allowed, and the soil moisture sensor will do the rest. As the SMRT-Y optimizes moisture at the root zone, you will enjoy a lush, healthier landscape that is less prone to fungus and shallow root growth. User Interface with LCD Readout. 1  Touchpad keys with digital LCD readout displays: 2  Automatic moisture threshold setting with increase/decrease adjustment. 3  Sensor bypass touchpad key for easy deactivation. 4  Up to two independent zones can be isolated from sensor. 5  Designed for outdoor installation. The moisture sensor works when the series of discs in the sensor expands they get wet, and to a certain size, they flip a micro switch, this interrupts the current going from the controller to the valves, whereby the controller will tell the valves to start watering in the middle of a rainstorm, if the valves do not get the memo then they don't turn ... A moisture sensor estimates the amount of water in the soil that is being tested. It works by measuring the soil's ability to conduct electricity, higher moisture means more c\u2026onducting power. The reason that some look down on soil moisture meters is because of the plethora of crappy and cheap ones that don't actually work well... but not all meters are bad. I use this soil moisture sensor in my house for my potted plants, and I actually have been very pleased with it. Advanced TDT Digital Soil Moisture Sensor. 1  Sensor uses Time Domain Transmissometry (TDT) and digital signal processing to measure soil moisture content accurately and consistently. 2  Corrosion-resistant in-ground sensor made of high-grade 304 stainless steel. 3  No maintenance sensor \u2013 just bury and forget. soil moisture meters are garbage!! Lift up a bone dry pot and feel what it weighs. thatll give you an idea. like he said ! ... use your fingers.... a couple inches deep and still dry its time to water! I dont water heavey. I find it better to water lightly more often (2-3 days) instead of drenching the soil. At field capacity most soils have a soil moisture tension between 0.05 and 0.33 bars. Soils classified as sandy may have field capacity tensions around 0.10 bars, while clayey soil will have field capacity at a tension around 0.33 bars. At field capacity it is relatively easy for a plant to remove water from the soil. Discussion in 'Organics' started by BillyBonnie, May 30, 2012. BillyBonnie New Member. I get so tired of trying to guess when my plants need water. eDude Well-Known Member. I was born with ten soil moister meters.. nastynate420 Active Member. soil moisture meters are garbage!! BillyBonnie New Member. Query: how does a soil moisture sensor work\n", "labels": "A soil moisture sensor works by measuring the soil's ability to conduct electricity.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-dbbf31bb5c44474b90f883ba98d64f9c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Call as an intern on neurosurgery is one night in seven which isn't too bad (and keeps the total hours down for the week such that I can spend more time in the OR without being just plain dead tired). I was lucky in that my parents have been happily married for 28 years. It takes a special personality of both the surgeon and the spouse to deal with the stress of this job. My mom is incredibly understanding and independent, which I may argue is more important than how the surgeon handles it. Follow this question. 1  Enter your phone number and/or email and we'll send you a message when there's an update to this question! 2  Enter your phone number and/or email and we'll send you a message when there's an update to this question! Few neurosurgeons work less than 50-60 hours a week (80+ is not at all unusual), practically all of them complain about lack of time with family (high divorce rate), and hobbies are usually flexible ones (e.g. if you run, better run around a track when you're on call). The average pay for a neurosurgeon ranges between \u00a353.00 and \u00a356.75 per hour. This brings to an average of \u00a3113,500 per month, however though different regions across UK offer different salary amounts to the neurosurgeons. Canada [1] The annual salary for Neurosurgeons in Canada ranges from C$178,000 to C$351,000. A neurosurgeon is a specialist surgeon and commands and very high salary. The average neurosurgeon salary is $368,000 without bonuses. With bonuses, the average salary is just over$500,000. A neurosurgeon is also called a brain surgeon. Types of Surgeons and Average Compensation for Each. 1  General Surgeons: (5 Years of residency, no fellowship required) Perform appendectomies, hernia surgeries, and other types of surgeries including liver, spleen, intestinal, and some head, neck, chest surgeries, excluding hearts. In surgery, the training is rigorous and the lifestyle that accompanies a busy surgical practice is taxing, but surgery is also one of the most rewarding fields of medicine. After training, the average general surgeon works 50-60 hours per week (not including time available for call). Depending on the practice situation chosen, you can be on call as much as all the time (if in private solo practice) to once a week (if in a large group practice). The following specialists are some of the most common examples: 1  Allergists (specialists in diagnosing and treating hay fever or other allergies) 2  Cardiologists (heart specialists) 3  Dermatologists (skin specialists) 4  Gastroenterologists (digestive system specialists) 5  Ophthalmologists (eye specialists) Pediatricians who work full time don't necessarily work a standard 40-hour week, according to a December 2009 article in \u201cPediatrics,\u201d which reported full-time pediatricians in subspecialties such as pediatric surgery worked an average of 33.7 hours a week. Query: how long is a typical week for a neurosurgeon\n", "labels": "Few neurosurgeons work less than 50 to 60 hours a week, 80+ is not at all unusual.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-774c47c8b1524ca189f81d5188a04746"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Quick Answer. Ricotta cheese that is opened can be stored in the refrigerator for one to two weeks. However ricotta that is stored in the freezer can be used for up to three months. Continue Reading Also while on the topic I checked my (packaged) low-moisture part-skim mozzarella and the date goes out until july but then it says use within 3-5 days of opening. I have had it opened for a while but I see no signs of it being spoiled? No mold, not a bad stench, but would it still be bad to use? Uhg who new cheese could be so confusing 0_- How long do brie cheese, feta cheese, ricotta cheese, cottage cheese, mozzarella cheese and cream cheese last? Shelf life, storage tips & expiration A: A refrigerator keeps all foods safe to eat for four hours without electricity. Beyond that time, some, but not all foods remain safe to eat. Foods that should be discarded after four hours are meats, dairy, soft unprocessed cheeses, and prepared meals or leftovers. What's the fridge life? For semi-hard and semi-soft cheeses -- the middle ground -- your time frame is a little less than harder cheeses. There's more moisture present in the cheeses, so they aren't going to keep as long. I'd say two to four weeks after the expiration date is the basic time frame. Here are some tips for proper way of refrigerating cheese: 1  Keep refrigerated and tightly sealed. Frozen cheese may lose some of its texture and flavor; the thawed cheese will be best suited to cooked dishes, such as sauces, soups and casseroles. Keep Reading. 1 Beef Sirloin Safe to Eat. Updated 1 year ago | 11. Beef Safe to Eat? 2 Tips for how to eat anchovies. Updated 5 months ago | 8. Anchovies; 3 Refrigerator pickles left out over night - safe to eat? Updated 6 months ago | 2. Pickles Safe to Eat? 4 Lye pretzel dogs - will the dog/sausage part be safe to eat, too? Updated 4 months ago | 0 Read the Okay to eat old ricotta? discussion from the Chowhound Home Cooking food community. Join the discussion today. Read the Okay to eat old ricotta? discussion from the Chowhound Home Cooking food community. Proper food storage is very important to extending the shelf life of soft cheeses such as brie cheese, feta cheese, ricotta cheese, cottage cheese, or mozzarella cheese. You can help these types of cheeses keep fresh longer by storing them in your refrigerator at 40\u00b0F or lower immediately after each use. A: Because ricotta cheese is a milk-based product, it does go bad. Unopened ricotta cheese stored in the refrigerator is good for between five and seven days past the sell-by date. See Full Answer Query: how long will ricotta cheese keep in fridge once opened\n", "labels": "Ricotta cheese that is opened can be stored in the refrigerator for one to two weeks.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-f77e51a4d7ad435b8ce96e38f8a09799"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The best way to answer this question is to look at how much people spend on average on their engagement rings as compared to their wedding bands. The national average cost for an engagement ring was $5,855 in 2014. The national average cost for wedding bands were a little different, in that couples spent an average of $1,417 on the bride's band and an average of $558 on the groom's band, which adds up to an average of $1,975 for both of the wedding bands. So, if you go by the national average cost of wedding bands and engagement rings, you can expect to spend about 33.7% (or just about 1/3) of what you spent on your engagement ring on your wedding bands. The most popular engagement ring cut is the round brilliant diamond. The average woman\u2019s ring size is about 6. December is the most popular month for buying engagement rings. The idea that a man should spend 2 months salary for an engagement ring originated from De Beers marketing materials. Spend no more than $2,000 on the engagement ring Men who shelled out between $2,000-$4,000 on engagement rings were 1.3 times more likely to get divorced than men who spent between $500 and $2,000. But that doesn't mean you should just use a plastic ring you got out of a gumball machine, either. Spending less than $500 on a ring also led to higher divorce rates. Keep your wedding costs under control Spending more than $20,000 on a wedding led to divorce 3.5 times more frequently for women than for those who spent between $5,000 and $10,000. (The average cost of an American wedding is nearly $30,000, according to The Knot.) Last year, 64% of brides were involved in picking out their ring, while nearly a third helped decide the budget, according to a survey by The Knot. That could be one reason the national average spent on an engagement ring, as well as diamond carat size, or weight, have been rising. The average spent on an engagement ring grew 3% to $5,598 last year from a year earlier, according to TheKnot. That's still down from 2009's average of $5,861, however. The average carat size for the center stone is just over 1 carat. The average total carat size for engagement rings, including any diamonds on the setting, is 2 carats, Miles said. 3. So a new study about weddings that reveals the average cost of an engagement ring will be of interest, especially to those of you who might be considering ring-buying, or might have a ring bought for you in the Here are a few of them that will influence the amount you spend when it comes to engagement ring costs vs. wedding band costs: The Style of The Rings The first factor that affects the cost of your engagement ring compared to your wedding bands will be what style wedding rings you choose to go with. Cost of an Engagement Ring. Below is an informational video about how the Gemological Institute of America grades diamonds and provides consumers with unbiased diamond grading reports. A GIA diamond grading report will make you sure of your diamond's value and your diamond's quality. Antique earrings are a popular addition to a bride's big day look. Ilona Kaprovsky and Justin Veach with an image of their ring, a diamond set in platinum. 1  Ilona Kaprovsky, a 24-year-old New Yorker who works in finance, said she didn\u2019t initially think she wanted a diamond as the centerpiece of her engagement ring \u2014 a lab-grown stone like a white sapphire, or even cubic zirconia, would be just fine. And here's why: 1  An engagement ring is a symbol of your love and commitment. 2  Many women have dreamed about their perfect ring for a long time, including the style, diamond shape, etc. 3  Women are the ones who wear the ring every day. In our minds\u2014and we assume the minds of many recession-strapped Americans\u2014the amount spent on an engagement ring should be 100% up to the person buying it. Of course, the input of the intended is always welcome, but if you aren\u2019t the person actually making the purchase, at the end of the day, it\u2019s not really up to you. Query: average cost of an engagement or wedding ring\n", "labels": "The national average cost for an engagement ring was $5,855 in 2014.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-a81054a04b7c4b579e1da95b05fb0a70"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How long does potato salad last in the fridge? The precise answer to that question depends to a large extent on storage conditions - refrigerate potato salad within two hours of preparing or purchasing. To maximize the shelf life of potato salad for safety and quality, refrigerate the potato salad in airtight containers. Properly stored, potato salad will last for 3 to 5 days in the refrigerator. How long can potato salad be left at room temperature? Bacteria grow rapidly at temperatures between 40 \u00b0F and 140 \u00b0F; potato salad should be discarded if left out for more than 2 hours at room temperature. Raw Eggs in Shell It is best to store eggs in the case or carton. When kept refrigerated in their raw shells, eggs last up to 4 to 5 weeks without significant loss of quality. But remember, the clock on those 4 to 5 weeks starts the moment eggs are laid. To be safe, keep refrigerated raw eggs in shell for no more than three weeks. Refrigerator (40 \u00b0F or below) Freezer (0 \u00b0F or below) Salads. Egg, chicken, ham, tuna & macaroni salads. 3 to 5 days. Does not freeze well. Hot dogs. opened package. 1 week. 1 to 2 months. unopened package. 2 weeks. 1 to 2 months. Luncheon meat. opened package or deli sliced. 3 to 5 days. 1 to 2 months. unopened package. 2 weeks. 1 to 2 months. Bacon & Sausage. Bacon. 7 days. 1 month Storage Times for the Refrigerator and Freezer. These short but safe time limits for home-refrigerated foods will keep them from spoiling or becoming dangerous to eat. The guidelines for freezer storage are for quality only. Frozen foods remain safe indefinitely. For storage times for eggs and foods made with eggs, see Egg Storage Chart. Storage Times for the Refrigerator and Freezer These short but safe time limits for home-refrigerated foods will keep them from spoiling or becoming dangerous to eat. The guidelines for freezer storage are for quality only. There is an expiration date on the carton. If in doubt, put the egg in water. If it floats, do not use it. Eggs last about 4-5 weeks in your refrigerator. If you don't know how long the egg has been in the refrigerator, fill a cup with water (enough to cover the egg), and put the egg in the cup. If the egg sinks to the bottom, it is still good to eat; if the egg floats, however, it is bad and should be discarded. Tips. 1  How long does potato salad last in the fridge? 2  To maximize the shelf life of potato salad for safety and quality, refrigerate the potato salad in airtight containers. 3  Properly stored, potato salad will last for 3 to 5 days in the refrigerator. How long can potato salad be left at room temperature? Bacteria grow rapidly at temperatures between 40 \u00b0F and 140 \u00b0F; potato salad should be discarded if left out for more than 2 hours at room temperature. Egg Whites Raw egg whites can be refrigerated up to four days.Cooked Egg Dishes No cooked egg dish should be left out at room temperature for more than two hours. Allow no more than 30 minutes to one hour to elapse when serving dishes outside in weather hotter than 85\u00c2\u00b0F. Therefore, unless you are not expecting to keep the eggs for very long, you should not put them in water. If you must wash the eggs, use HOT running water. Farmers have 30 days from the day an egg is laid to get it to stores. Then, the stores have another 30 days to sell the eggs. The USDA recommends a maximum of 5 weeks in your refrigerator before you discard your eggs. Keep Food Safe: FoodKeeper App; Check Your Steps ; Charts: Food Safety at a Glance ; By Types of Food ; By Events and Seasons ; In An Emergency; What Government Does Query: how long does egg salad last in the fridge\n", "labels": "Egg salad last for 3 to 5 days in the fridge.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-1aad8cc795dc40f2b56bb4ba09f56cb8"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Sowing Seeds. 1  Sow eggplant seeds indoors about six weeks before the climate begins to warm up. 2  The seeds germinate best at temperatures above 24 deg C (75 deg F), so keep in a warmer place inside the house. You can use bottom heat to maintain a soil temperature around 24 deg C for about 10 days. Planting and germinating eggplant requires you to use the right type of soil and a container that is about an inch full. Plant and germinate eggplant with help from a classically-trained chef with experience in both world-class restaurants and private dining companies in this free video clip. Expert: Teca Thompson Filmmaker: Rudi Rose Sow eggplant seeds indoors 8 weeks before the last frost in spring using a seed starting kit. Sow seeds \u00bc inch deep in seed-starting formula Keep the soil moist at 75 degrees F There\u2019s no particular eggplant seed preparation necessary prior to sowing. Eggplant seeds germinate at temps between 60-95 degrees F. (15-35 C.) and seedlings will emerge in seven to 10 days. When growing with eggplant seeds instead of nursery starts, the seeds will remain viable for about four years. The leaves are generally lobed and about 4 - 8 inches long. Flowers/Fruits: Flowers can be white or some shade of purple, with five-lobes. The fruit varies from small and round, to long and thin, to hefty orbs. Fruits are actually berries, with lots of tiny seeds inside the flesh. Botanical Name. Solanum melongena. Common Name(s) 1) Seed Viability Relative to Germination: 1  Shelf life: Tomato seeds tend to last much longer in storage than most other seed (i.e., onions need to be purchased fresh every year). Just make sure they were stored properly (cool & dry) and you should have around a 4-5 year shelf life for tomato seeds. Eggplants are in the Solanaceae, or nightshade, family, along with tomatoes, peppers and potatoes. Many of us grew up thinking of eggplant as large, somewhat oval shaped, purple vegetables. There wasn\u2019t a lot of variety in what we could grow or how we ate it. Thankfully, that is no longer the case. Growing From Seed. Because eggplants require a relatively long time to mature and will not thrive in cool weather, if you plan to grow your eggplants from seed, you will need to begin them indoors, about eight to 10 weeks before the average last frost date for your region. Seeds need warm soil to germinate and for the seedlings to grow quickly. The ideal soil temperature for germination is between 70 and 90 degrees Fahrenheit, so be sure to keep your seedlings in a warm location in your home or use a heating mat to warm the soil. Faster Pepper and Eggplant Seed Germination One issue that many gardeners face is that pepper and eggplant seeds can take forever to germinate. I\u2019ve had some eggplants that took about 2 years to germinate\u2014at least it felt like it! Growing eggplants in containers is not complicated, and if you\u2019re a fan of grilling and oven broiling, you should grow this delicious and PRODUCTIVE vegetable. Eggplant is a perennial tropical vegetable plant native to South and East Asia (namely, China and India) and a member of the tomato family. Query: how long eggplant seeds to germinate\n", "labels": "It takes seven to 10 days for eggplant seeds to germinate.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-d40816968bd448159a47f80ca36813aa"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Two of the major questions that people ask when it comes to dental implants is, \u201cWhat is the long-term success rate?\u201d and \u201cHow long will they last?\u201d. The simply answer to the long-term success rate of dental implants are that dental implants can fail, but fortunately very infrequently. Failure rates vary depending on the site in the mouth, whether they are placed into natural or grafted bone and whether the patient smokes. The overall success rates in natural bone is 95%, though this falls to between 85 and 90% in grafted bone. The snap on dentures, MDI supported dentures, fixed hybrid implant dentures can be remove and place easily. Although some people prefer to have a permanent bridgework done dentures are a great alternative. How do Snap-on dentures work? There are two types of denture with the snap-on effect. Bar retained and ball retained. Most of the patients in our office that have implant dentures have a snap in style denture. The ease of cleaning, comfortable fit, retention, esthetic looks, and stability make it a great choice for a lot of patients with only a few drawbacks. As to the longevity of dental implants, honestly at the present time we cannot answer this question. However, according to various resources , G\u00f6sta Larsson was the first patient who had dental implants placed. So your answer is as follows: They work well in most cases and last a long time in most cases. If one abuses them or develops medical issues then the life span can be decreased. December 20, 2008 at 5:05 pm It is hard to predict anything over the internet, let alone the office. But implants can last up to 25 years if everything goes well. How long does a knee replacement last or how long would an orthopedic give it? Remember, your implants will not have decay nor will they need root canals. Restored properly, you probably will have many years of enjoyment and function far beyond the alternative. best of luck. Dentures are held in place by muscles and soft tissue. The average force a person can chew with a denture is 20% of natural teeth. Get back some of that chewing ability and eat what you want with an implant denture. Implant Dentures can be a snap-in type denture or fixed denture. The benefit of a snap in denture or overdenture is that it is easy to clean and can fill in space where bone has been lost given a natural, pleasing facial appearance. A fixed denture is usually screwed into place and does not come out. For a fraction of the cost of cosmetic veneers, you can benefit from Snap-On Smile, which is a relatively new and affordable alternative to permanent dental work. We are currently offering Snap-On Smile for the special price of $1,095 for a limited time. We can also arrange financing options if you prefer to pay monthly. How long does it take to get Snap on dentures? The procedure can be completed in just 7 days, or in two days if you want to continue using your current dentures. How much do Snap on dentures cost? The cost is usually directly related to the number of implant s placed each mini implant has a cost of 450$ USD, and the dentures with 0-rings have a cost of 900$. Contact us for more information and promotions. I am hoping because of this my implant will last a long time. The rest of my mouth isnt much better I have 5 crowns, 1 root canal which failed earlier this year so I got it re-done and about 7 fillings. Query: how long do snap on dentures last\n", "labels": "Snap on dentures last in just 7 days, or in two days if you want to continue using your current dentures.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-df0b864936ac4f7bb5ab68431de46855"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: when they are feeling normal. It may take a while to learn your cycles, so do not be discouraged if you do not produce positive results right away. It often takes people weeks or months to accurately diagnose their cycles. For this reason, we suggest keeping a diary of how you feel when you do each test. In this way, if we get an abnormal result, we can ask you to do further testing at times when you feel the same and perhaps expedite getting more abnormal results to back up your diagnosis At 11pm, wash your hands and dry them thoroughly. DO NOT BRUSH YOUR TEETH before you sample. Before I had that page (24-hour Hormone Saliva Test) up, many people would contact me asking if I knew of a source for a saliva hormone testing kit that did not require a doctor's order, either because they were not working with a doctor, or the doctor would not order one for them and they didn't know where to look to find one on their own. 7 days at room temperature. This produces a very bad smelling sample. It does not appear to affect the cortisol levels, but it sure affects the mood of the technicians assaying the samples! So whenever possible, saliva samples should be stored at -20 degrees Celsius or lower. Q: Do I have to use dry ice if I send my samples to the laboratory? A: No. Once your hormone levels are balanced, testing your hormones once a year will be adequate. I'm having a difficult time collecting enough saliva to fill the tube. If you are having difficulty collecting saliva we have a few recommendations: First of all, allow extra time\u2014at least 20 to 40 minutes before collection. Some insurance plans also cover saliva cortisol testing. How can I get this test done? Talk to your health care professional about your symptoms and ask if this test would be useful for you. Unfortunately many physicians are still unaware of the validity, reliability and value of saliva hormone tests. Some labs, such as ZRT and Genova, allow patients to order tests directly. Several other labs also do saliva testing. You can search online using \u201csaliva test\u201d as your search word. For more ... I prefer dried urine hormone testing because it combines the advantages of saliva testing (ability to measure diurnal production of cortisol) and 24-hour urine testing (ability to measure androgen and glucocorticoid metabolites in addition to the hormones themselves). Saliva for cortisol testing is usually collected by inserting a swab into the mouth and waiting a few minutes while the swab becomes saturated with saliva. Obtaining more than one sample allows the health practitioner to evaluate the daily pattern of cortisol secretion (the diurnal variation). Here\u2019s another important thing to know about cortisol testing. Taking a single measurement, or even a 24-hour average, is not enough. The best cortisol tests take 4 individual samples at various points of the day and then map your cortisol levels over the course of a 24 hour cycle. Collecting saliva. 1  Use of the straws included to funnel saliva into each tube is optional. 2  Each tube should be 3/4 full - bubbles or foam are acceptable. 3  FILL ALL FOUR TUBES regardless of how many tests are ordered. 4  Please dispose of straws before shipping. 5  Seal box with enclosed sticker. Extra tape is not necessary. Because cortisol levels change throughout the day, the timing of a cortisol test is important. A cortisol blood test is usually done twice a day\u2013once in the morning when cortisol levels are at their highest, and again around 4 p.m., when levels are much lower. Cortisol may also be measured in a urine or saliva test. For a cortisol urine test, your health care provider may ask you to collect all urine during a 24-hour period. This is called a 24-hour urine sample test. It is used because cortisol levels vary throughout the day. Query: how long does a cortisol saliva test takes\n", "labels": "It takes 24 hours for a cortisol saliva test.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-b782ad4276d6413c80e03d5be1dbde10"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How long can a Salamander live without water? A salamander can only live 2 or 3 days without water. However, they can go without food for approximately 5 days. The larvae are aquatic, tan to black, less than 2 inches long, and have three pairs of external gills extending from the base of the head. Habitat. Long-toed salamanders live in moist habitats, from timbered valley floors to alpine meadows and alpine lake shorelines. They are usually found near a pond, lake, or stream, often under logs. Adults are dormant during winter and emerge from ground or log burrows in early spring. In the wild, the average life span of a barred tiger salamander is around 3 years. In captivity, however, it is very common for a barred tiger salamander to live for aro\u2026und 20 years. Of course this is dependent upon their diet, habitat, and upkeep. The colors and patterns on tiger salamanders vary between individuals and change throughout their life cycle. Adults are usually black with yellow spots or stripes all over their body. How long does a spotted salamander live? National Geographic reports that they can live for up to 20 years in the wild. Opinions differ about its lifespan in captivity, ranging between 5-30 years. Adults mature at age two to three and can live up to seven years or more. Ecology and status Like all amphibians, the long-toed salamander absorbs water and oxygen through its skin and lives on land and water at various stages of its life. Once they have bred, these amphibians move to upland areas. Food. Adult long-toed salamanders eat a variety of invertebrates, including slugs, worms, and insects. Smaller larvae eat tiny water crustaceans (zooplankton), but as they grow they eat invertebrates, frog tadpoles, and often other smaller salamander larvae. In captivity, however, it is very common for a barred tiger salamander to live for aro \u2026 und 20 years. Of course this is dependent upon their diet, habitat, and upkeep. For more information regaurding any species of salamander or newt, you may want to check out this website... How big do tiger salamanders get? Tiger salamanders are the largest land-dwelling salamanders. They can grow up to a foot long, though most are between 6-8 inches. How long do tiger salamanders live? Tiger salamanders can live up to 25 years, though most do not reach that age in the wild due to predation and other hazards. Where do tiger salamanders live? Tiger salamanders can be found throughout the state of Minnesota. They live in or near wetlands like marshes, lakes, and ponds. They spend most of their time burrowing under the leaf litter or underground looking for food. In human populated areas, tiger salamanders can sometimes be found in window-wells and waterlines. Confidence votes 23.8K. That all depends on the type of salamander, most live 8-10 years, some live for approx 20 years, the Chinese giant salamander can live for 50 years. Query: how long salamanders live\n", "labels": "Salamanders live up to 20 years.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ccf9e63f243d4dea877900c186a84df7"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: An IRS tax lien, which may occur at the state, local or federal level, significantly impacts your credit score, affecting your ability to get loans, credit cards and even a cell phone. Unless you know about IRS Form 12277. January 30, 2014 \u2022 9 min read by 36 Comments. A tax lien can be one of the worst items to appear on your credit report. It\u2019s considered very negative and can cause your credit scores to drop significantly. Even worse, under federal law, unpaid tax liens can remain on credit reports indefinitely, though in practice credit bureaus may remove them after a decade or so. (Once paid and released, a tax lien must be removed seven years from the date it was filed.) There is a way to make tax liens disappear from your credit reports completely, and quickly, though. Unfortunately, not all taxpayers who are dealing with this problem know about it. You can qualify to request your lien be withdrawn, if: 1  Your tax liability has been satisfied (you\u2019ve paid what you owe) and your lien has been released; 2  You are in compliance for the past three years in filing your individual and business returns, and information returns (as applicable) and; If you have more than one tax lien on your report that is eligible for removal, you will need a Form 12277 for each lien you want withdrawn. Boxes 1 through 8 on the form ask for your name and basic identification information. Tax tips for your 2014 return 3:22 PM ET Fri, 17 April 2015 | 03:02. If you think IRS tax liens are required to stay on your credit report for seven years, even if you've paid your tax debt in full, then it's time we let the genie out of the bottle. A tax lien\u2014the government's claim against all or some of your assets based on your failure to pay a tax debt on time\u2014is one of the worst things that can appear on your credit report. It's a public record viewed by the credit bureaus, equal to a judgment or bankruptcy. Not long ago, I reviewed the credit report of a friend who had two tax liens on his credit reports. Though he had paid them off a couple years prior, he had no idea he could request they be removed from his reports. Thanks for your patience. 1  I went through the process and have a signed 10916 form (the lien was paid over 6 years ago). I have sent it to all 3 of the credit reporting agencies and Transunion responded as \u2018release of tax lien verified, no change\u2019. 2  http://www.Credit.com/. Within 30 days you should receive updated credit reports from each of the three credit bureaus. 5. Check each report to ensure that the tax lien(s) were expunged. If any of the three bureaus did not remove the lien(s), you will need to contact the bureau and be tenacious until it is removed. Step 4: Dispute the lien with the Credit Reporting Agencies. When you dispute a tax lien with Equifax, Experian or TransUnion, they contact the courthouse where the lien was filed to determine if the information is still accurate. The rest of my credit is good and my bills, credit cards, auto loans are all paid on time each and every time every month, but with these 3 federal tax liens on my credit reports I can not get my credit score above 600 and any time I need or want any financing the bank wants 40-50% down before they will approve it. Query: how long does a federal tax lien stay on credit report\n", "labels": "Federal tax lien stay on credit report for decades or so.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-fb77833e0ab04245b82dd5329f248c55"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Average charitable donations by income. The short answer is that the average itemized tax return includes $4,790 in charitable deductions, but that doesn't tell the entire story. First, not everyone who donates to charity can use the charitable deduction. To get the tax break, you need to itemize deductions on your tax return. The IRS has long required taxpayers to subtract the value of anything they receive in return for a charitable contribution before taking a deduction, so someone who gets a $5 tote bag for a $50 donation to a public TV station, for example, can only deduct $45. The national average in 2015 for deductions for state and local taxes, or SALT, was $12,471, and sponsors of the new tax law said the $10,000 cap combined with lower rates should protect most Americans from facing a higher tax bill. As a result, nonprofits are pushing Republicans to include something else in their tax plan that they say would increase charitable donations, but keep taxes simple: They want something called a universal charitable deduction, which taxpayers would get on top of the standard deduction. De Leon is proposing that California provide a credit on its state income tax for amounts given to a state charitable fund as a way to get around the part of the new federal tax law that limits deductions for state income taxes but not for charitable contributions. You may deduct charitable contributions of money or property made to qualified organizations if you itemize your deductions. Generally, you may deduct up to 50 percent of your adjusted gross income, but 20 percent and 30 percent limitations apply in some cases. Nonprofits Fear House Republican Tax Bill Would Hurt Charitable Giving Even though Republicans promise to preserve the deduction for charitable donations, nonprofits say other proposed changes in the bill could discourage as much as $13 billion in annual giving. Accessibility links Charitable Contribution Deductions. This article generally explains the rules covering income tax deductions for charitable contributions by individuals. You can find a more comprehensive discussion of these rules in Publication 526, Charitable Contributions, and Publication 561, Determining the Value of Donated Property. For information about the substantiation and disclosure requirements for charitable contributions, see Publication 1771. \u201cThe tax benefit of a federal or state charitable contribution is not regarded as a return benefit that negates the charitable intent,\u201d the IRS memo said, citing federal tax court rulings in 1985, 1989, and 1991. Deductions for charitable gifts do not face the same limit as deductions for state and local taxes, a fact California and New Jersey want to exploit. Query: average charitable deduction\n", "labels": "The average itemized tax return includes $4,790 in charitable deductions", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-55739a16274340dcabe32371a0655fb5"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: An antibiotic can also be classified according to the range of pathogens against which it is effective. Penicillin G will destroy only a few species of bacteria and is known as a narrow spectrum antibiotic. Tetracycline is effective against a wide range of organisms and is known as a broad spectrum antibiotic. Antibiotic resistance Antibiotic resistance. Bacteria are termed drug-resistant when they are no longer inhibited by an antibiotic to which they were previously sensitive. The emergence and spread of antibacterial-resistant bacteria has continued to grow due to both the over-use and misuse of antibiotics. Gram+ cells are only part of the bacterial world. There are many types of harmful bacteria that are Gram-negative. Penicillin does not work against Gram-negative bacteria, since the Gram- cell wall has an extra layer of protection that interferes with the drug reaching the peptidoglydan in Gram-negative bacterial cell walls. Therefore other antibiotics have been developed to work against Gram- cells. Since the introduction of penicillin, a variety of other classes of antibiotics have been discovered and put to use in fighting bacterial infections. Each class of antibiotics has its own mode of action or MOA. The mode of action is specifically how the drug works to disable or kill bacteria. Friendly bacteria help keep you healthy in many ways, so when antibiotics kill friendly bacteria, your health can suffer because you lose these benefits. Additionally, losing friendly bacteria can give other types of bacteria room to multiply, leading to opportunistic infection. Antibiotics are medications used specifically to kill or disable bacteria. All bacteria are prokaryotic. organisms, meaning that their cells are different than cells of the human body. These differences can be exploited, so that antibiotic drugs can kill bacteria without harming us. Most of the bacterial world falls into one of two categories, Gram+ and Gram-, based on Article Summary: Antibiotics are drugs used to fight bacterial infections. Although there are similarities between bacteria and human cells, there are many differences as well. Antibiotics work by affecting things that bacterial cells have but human cells don\u2019t. For example, human cells do not have cell walls, while many types of bacteria do. The antibiotic penicillin works by keeping a bacterium from building a cell wall. Bacteria and human cells also differ in the structure of their cell membranes and the machinery they use to build proteins or copy DNA. Antibiotics kill bacteria, not archaea, fungi, or protists. The discovery of the antibiotic penicillin in the 1920s made a big impact on human history. Not only did it lead to a cure for bacterial infections that were once deadly, but it also led a big interest in finding new antibiotics. The effects of the antibiotic drug ceftazidine on Staphylococcus aureus bacteria. The antibiotic kills the bacteria (red) by causing the cell wall to disintegrate (yellow remnants). Antibiotics are chemicals that kill or inhibit the growth of bacteria and are used to treat bacterial infections. They are produced in nature by soil bacteria and fungi. This gives the microbe an advantage when competing for food and water and other limited resources in a particular habitat, as the antibiotic kills off their competition. How do antibiotics work Antibiotics take advantage of the difference between the structure of the bacterial cell and the host\u2019s cell. They either prevent the bacterial cells from multiplying so that the bacterial population remains the same, allowing the host\u2019s defence mechanism to fight the infection or kill the bacteria, for example stopping the mechanism responsible for building their cell walls. Query: how does penicillin destroy bacteria\n", "labels": "The antibiotic penicillin works by keeping a bacterium from building a cell wall.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-0afb0aba21934a6795c9febdacc7a077"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: One of the main concerns patients have is how long LASIK recovery will take. Our blog post covers the most frequently asked questions. LASIK surgery is an extremely effective procedure with very little recovery time. While there is no set time for how long it will take your vision to fully stabilize, results are seen almost immediately. If you are interested in LASIK surgery, contact your doctor to see if you are a candidate. Read on as Lakewood Ophthalmologist Dr. Edward Hedaya of InVision EyeCare explains how long LASIK/PRK surgery takes. A Quick (and Comfortable) Surgery. LASIK and PRK are outpatient procedures, so patients can have surgery and go home on the same day. From start to finish, the LASIK and PRK procedures take about 10 to 15 minutes. But the actual laser needs mere seconds to reshape the cornea to correct vision. What to Expect on the Day of Your Surgery. What to expect on the day of your surgery primarily depends on your choice in surgeon and surgery center. Before Surgery. If you decide to go ahead with LASIK surgery, you will need an initial or baseline evaluation by your eye doctor to determine if you are a good candidate. This is what you need to know to prepare for the exam and what you should expect: You should see your doctor within the first 24 to 48 hours after surgery and at regular intervals after that for at least the first six months. At the first postoperative visit, your doctor will remove the eye shield, test your vision, and examine your eye. One of the main concerns about any surgery is how long it will take to recover. With LASIK, the recovery is simple and relatively easy. We\u2019ll walk you through the recovery process so you can see exactly what to expect after. Immediately After Surgery. Following the surgery, your doctor will likely give you protective eye shields or sunglasses to wear to protect your eyes as they heal. LASIK surgery takes very little time. The entire procedure for both eyes is usually completed within 15 minutes. The first step of LASIK \u2013 creating the corneal flap \u2013 may take longer that the laser reshaping of the eye (step two). If the flap is created with a microkeratome, this step takes only a few seconds. But if it's created with a femtosecond laser (in an all-laser LASIK procedure), it may a minute or two. In most cases, the laser reshaping of the eye takes less than a minute. The time for LASIK versus PRK procedures are similar. During the first few months after surgery, your vision may fluctuate. 1  It may take up to three to six months for your vision to stabilize after surgery. 2  Glare, haloes, difficulty driving at night, and other visual symptoms may also persist during this stabilization period. If you wear contact lenses, it is a good idea to stop wearing them before your baseline evaluation and switch to wearing your glasses full-time. 1  Contact lenses change the shape of your cornea for up to several weeks after you have stopped using them depending on the type of contact lenses you wear. Your doctor should perform a thorough eye exam and discuss: 1  whether you are a good candidate. 2  what the risks, benefits, and alternatives of the surgery are. 3  what you should expect before, during, and after surgery. 4  what your responsibilities will be before, during, and after surgery. Query: how long does lasik surgery take\n", "labels": "LASIK surgery takes very little time. The entire procedure for both eyes is usually completed within 15 minutes.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-9f4fe73920884843921ae3e591eb50fa"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: We\u2019re confident you\u2019ll be completely enamored by Jojoba Oil because our love for it runs deep. lt was our first product back in 1978, and it\u2019s still our #1 selling product today. Over the decades, we\u2019ve sourced our Jojoba from a select few farms in the Sonoran desert and Peru. Jojoba is a shrub that is grows in dry regions of northern Mexico and the southwestern US. Jojoba oil and wax are produced from the seeds and used for medicine. Jojoba is applied directly to the skin for acne, psoriasis, sunburn, and chapped skin. It is also used topically to encourage the regrowth of hair in people who are balding. For example, a 2012 study titled \u201cClay jojoba oil facial mask for lesioned skin and mild acne\u201d found that applying a clay mask and jojoba oil mix applied to the face daily for six weeks could noticeably improve the skin tone and reduce acne. jojoba is brilliant, the oil that most closely resembles our skin's sebum, so perfect for any type!!! is also a brilliant eye make up remover too! and coconut oil is fab as a cleanser and also for making flapjacks!!!! Those who have acne prone skin can reap the advantages of jojoba oil benefits for skin, and prevent acne from occurring. With jojoba oil application on face, you can flaunt a smooth and flawless skin, even during the dry winter months. So, keep a bottle of organic jojoba oil in your cabinet, and use it on your face regularly. Since oil naturally attracts other oils, using jojoba oil as a facial cleanser can help you extract the dirts and oils from under your skin. Just put a few drops of jojoba oil on your face for a couple minutes and then rinse it off with water. 2. Jojoba oil locks in your moisturizer. If you have a moisturizer that effectively controls oil while still being able to hydrate your skin, such as a chia seed serum, then you can lock in that hydration with jojoba oil. (iii) Alternatively, if you like you can place a few drops of oil on your palm and apply onto your dry hair with the help of your fingers to make it manageable. 3. Jojoba Oil For Scalp: Jojoba oil on scalp works to clean the residues of blocked and encrusted sebum leading to reduced hair loss and diminished hair damage. Combine jojoba oil with aromatic essential oils to treat oily or acne-prone skin. Add 2 ounces of jojoba oil to a small bottle, then add 10 drops of rosemary essential oil and 15 drops of tea tree essential oil. Put a lid on the bottle and shake it gently. Smooth a few drops of the oil mixture over your forehead, nose, cheeks and chin. Let the oil soak in for a minute, then moisten a cotton pad with witch hazel. Wipe your face with the pad. Step 4. Combine oils with Vitamin E for a nourishing skin treatment. Mix 1 ounce of jojoba oil and 1 ounce of grapeseed oil in a small bowl. How To Use Jojoba Oil On Your Skin And Face There have always been natural solutions and remedies to help with the different ways that the skin on our body and face is affected by the struggles of daily life. Rub 1 tsp. pure jojoba oil on the skin affected with acne, using more pressure on areas that have the most breakouts. The jojoba oil will stick to the impurities and sebum. Continue to rub in the oil for one to two minutes. In order to pull the oils back out, the pores must be opened by applying hot water to the skin. Apply a hot, steaming cloth to the face until it cools, then wipe away the rest of the oil. Query: how do you use jojoba oil on your face?\n", "labels": "Put a few drops of jojoba oil on your face for a couple minutes and then rinse it off with water.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-70ffe99b8f084299a74db1877e2d829c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: No reward of any kind was offered as an incentive for repeating the behavior. Subjects chose actions like running 15 minutes before dinner, eating a piece of fruit with lunch, or meditating. The median length of time it took for a habit to become automatic was 66 days. The range, however, was 18 to 254 days for the habit to be established. In fact, about half of the subjects did not perform their chosen action consistently enough to create a habit. Interestingly, increased repetition of an action does not always yield stronger habits. To successfully break a habit, you need to think of your strongest motivation, which will drive you along. Think of a 'replacement behaviour' for the habit, but make sure it\u2019s a positive one - replacing smoking with snacking is a common trap, for example. And be patient. The longer you\u2019ve had a habit, the longer it will take to get rid of it. For some, habits formed in as little as 18 days and for others it took as long as 254 days. There are of course obvious flaws in the study; the numbers are self-reported and it was only 96 participants in the study. Missing a single day did not reduce the chance of forming a habit. A sub-group took much longer than the others to form their habits, perhaps suggesting some people are \u2018habit-resistant\u2019. Other types of habits may well take much longer. No small change But for the rest of your life, you will have developed the habit of not putting your hand on hot stoves, or touching live electrical wires. The habit will have been formed instantly, and endure permanently. 21 Days to Break a Habit or Make a Habit. According to the experts, it takes about 21 days to break or form a habit pattern of medium complexity. It wasn\u2019t based on any real study. It was anecdotal. Based more on his personal observations with his patients and self-image than anything related to habit formation and behavior. One example included how long amputees sensed phantom limbs. However, there are a few reasons why the myth persists. People still believe it\u2019s true. Bookshops are filled with titles like Millionaire Habits in 21 Days, 21 Days to a Thrifty Lifestyle, 21 Days to Eating Better, and finally, the most optimistic of all: 21-Day Challenge: Change Almost Anything in 21 Days (at least it acknowledges that it might be a challenge!). It\u2019s not just me saying this either; there is science to support it too. 1  In 2006, Verplanken (6) gave students one of two writing tasks. The first group simply had to underline \u2018She/she\u2019 every time they came across it in a piece of text. So how long does it take to change your life \u2013 or at least, to adopt a new habit? There is a myth that has lingered since the 1960s that it takes 21 days to change a habit or to adopt a new one. And just like that, we have the 21 day rule of habit development. When you dig into the science, it paints a different picture though, and in reality just like I\u2019ve pointed in the loopholes above, there\u2019s much more to it than the 21 day rule suggests. Query: how long does it take for a behavior to become a habit\n", "labels": "It takes 66 days for a behavior to become a habit.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-960d717c3b0d4c6ba1b4f0ad16558497"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: A wind turbine works on a simple principle. This animation shows how energy in the wind turns two or three propeller-like blades around a rotor. The rotor is connected to the main shaft, which spins a generator to create electricity. Wind turbines are mounted on a tower to capture the most energy. Most people think of generating electricity with wind turbines when the subject is wind energy. There are many other ways we can harness the kinetic energy in the wind (also known as motional energy). The energy in the wind has been used in sailboats for thousands of years. Midwest Rural Energy Council Wind turbines generate electrical power in the same way as all other generation technologies. The only difference is in the source of the mechanical power supplied to the electrical generator: wind, rather than a diesel engine or steam turbine, pro\u00ad vides the energy. Blades capture energy in the wind and turn the turbines. Control Where exactly does wind energy come from? How can we generate electricity from the wind? What are some other uses for wind energy? If you are looking to find answers for questions like these, you are at the right place. What Is Wind Energy? By the term wind energy we mean air in motion (kinetic energy). Generating Electricity from Wind Energy With Wind Turbines. A wind turbine is in many ways the opposite of a fan. Instead of providing the electricity to get the fan to rotate, wind rotates the turbine to generate electricity. So, how exactly does wind energy produce electricity? The rotor blades on a wind turbine catches the kinetic energy in the wind and transfers it via a rotor shaft to the generator. The wing blades can be rotated and adjusted to the wind direction and strength, for maximum utilization of energy. When the rotor spins, the power is transferred via the drive shaft and gearbox. Generating Electricity from Wind Energy With Wind Turbines A wind turbine is in many ways the opposite of a fan. Instead of providing the electricity to get the fan to rotate, wind rotates the turbine to generate electricity. Wind itself does not generate electricity, but using wind turbines it is converted into mechanical energy and the mechanical energy is converted into electrical energy. Simp\u2026ly stated, a wind turbine works the opposite of a fan. Instead of using electricity to make wind, like a fan, wind turbines use wind to make electricity. See how wind turbines turn the force of wind into electricity. Learn how wind and hydro are renewable energy resources being integrated to meet Northwest ene... See how wind turbines turn the force of wind into electricity. Learn how wind and hydro are renewable energy resources being integrated to meet Northwest ene... Skip navigation Energy can be changed from one form of energy to another. The energy of the air moving is changed to the energy of the blades spinning. The blades turn a generator. The generator produces electricity. ( A generator works by its electric wiring traveling through a magnetic field). Wind is a source of Kinetic energy resulting from differences in atmospheric pressure. curve for a wind turbine indi\u00ad cates the power produced across the entire operating range of the wind turbine. Wind turbines have a cut\u00adin wind speed, typi\u00ad cally about 8 to 9 mph, when they will start to produce a small amount of electricity. Below the cut\u00adin wind speed there is not enough energy in the wind to produce electrical power. Wind Query: how does wind generate electricity\n", "labels": "Wind uses wind turbines to converted into mechanical energy and the mechanical energy is converted into electrical energy.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-5a60f85824974a8d859f645b45124143"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The movie's Hungarian title translates back into English as The eighth passenger is the Death. All other Alien movies had titles that end with the word death. Aliens (1986): The Name of the Planet: Death; Alien\u00b3 (1992): Final Solution: Death; Alien: Resurrection (1997): The Resurrection of Death. Bolaji Badejo who plays the Alien in the movie, was a graphic artist, who was discovered at a pub by one of the casting directors. He was seven feet one inch tall with thin arms, just what they needed to fit into the Alien costume. The Alien Quadrilogy box set was released December 2, 2003, with both versions of the film included along with a new commentary track featuring many of the film's actors, writers, and production staff, as well as other special features and a documentary entitled The Beast Within: The Making of Alien. Each film was also released separately as a DVD with both versions of the film included. Sigourney Weaver on Alien sequel: 'There's more story to tell' The actor, who played Ripley in four Alien movies, has said that she would like to return to the iconic character Ben Beaumont-Thomas In the years since the release of Alien, the Alien has become one of the world's most recognized movie monsters and a popular-cultural icon. In 2003, the Alien was voted as the 14th most memorable screen villain by the American Film Institute. The Alien Quadrilogy is a nine-disc boxed set devoted to the four Alien films. Although previously available on DVD as the Alien Legacy, here they have been repackaged with vastly more extras and with upgraded sound and picture. The American Film Institute ranked Alien as the sixth most thrilling American movie and seventh-best film in the science fiction genre, and in the AFI's 100 Years... 100 Heroes and Villains list, Ripley was ranked eighth among the heroes, and the Alien was fourteenth among the villains. Aliens is a sequel to Alien (1979), which was based on an original screenplay by Dan O'Bannon. The screenplay for Aliens was written by Canadian-American film-maker James Cameron, who also directed the movie. There have since been four sequels: Alien\u00b3 (1992) (1992), Alien: Resurrection (1997) (1997), AVP: Alien vs. Predator (2004) (2004), and AVPR: Aliens vs Predator - Requiem (2007)) (2007). We try to make sense of the recent news about Alien 5 and the Prometheus sequel (now called Alien: Paradise Lost) after Ridley Scott's recent interviews. We try to make sense of the recent news about Alien 5 and the Prometheus sequel (now called Alien: Paradise Lost) after Ridley Scott's recent interviews. Well there are 3 i think Avp 1 Avp 2 Avp3 (requiem) and if you want to watch other movies related to avp you could try Predator 1 and 2 and Aliens. Try Doom the movie , Jeepers Creepers (it's old but you could try it) Saw 1- 6 and..umm..i think Nightmare on Elm street will do some work too :) Query: how many alien movies are there?adfdfdsd\n", "labels": "There are 6 Alien movies.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-987e0fd243be4c73a8271784166f86d8"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Aristarchus calculated that the Sun is about nineteen times farther than the Moon; it is actually about 390 times farther than the Moon. Another ancient Greek astronomer, Eratosthenes (276-194 BC), estimated the distance between Earth and Sun to be either 4,080,000 stadia or 804,000,000 stadia. Then 4,080,000 stades is less than 1% of the actual Earth-Sun distance, no matter which definition of a stade one chooses. However, 804,000,000 stadia is between 126 million and 168 million kilometers - a range which includes the actual Earth-Sun distance of (approximately) 150 million kilometers. Earth and the Moon. Background As long as people have looked at the Moon, they have wondered how far away it is from Earth. The average distance to the Moon is 382,500 km. The distance varies because the Moon travels around Earth in an elliptical orbit. At perigee, the point at which the Moon is closest to Earth, the distance is approximately 360,000 km. At apogee, the point at which the Moon is farthest from Earth, the distance is approxi-mately 405,000 km. Distance from Earth to the Moon for a given date can be obtained by asking a local The orbit of the moon around the Earth is not a perfect circle so the distance varies a little. The average distance is around 384,400 kilometers or 230,600 miles. When NASA's Apollo astronauts flew to the moon in the late 1960s and early 1970s, it took them three days to reach the moon and enter orbit after launch. Did you know that the moon is moving away from Earth? It moves away at about 3.8 centimeters per year. SpaceKids on SPACE.com provides simple, straightforward answers to really big cosmic questions. 8 Responses. > 1  the Moon takes an elliptical path around the Earth. The planets make nearly elliptical orbits around the Sun, close enough for reasonable approximations, but the Moon\u2019s Orbit around the Earth is sufficiently influenced by the Sun that it follows a path detectably different from an ellipse. The \u201cMoon ABCs Fact Sheet\u201d lists the Earth's diameter as 12,756 km and the Moon's. diameter as 3,476 km. Therefore, the Moon's diameter is 27.25% of Earth's diameter. An official basketball has a diameter of 24 cm. This can serve as a model for Earth. tennis ball has a diameter of 6.9 cm which is close to 27.25% of the basketball. Distance to the Moon 25 Teacher Page Exploring the Moon -- A Teacher's Guide with Activities, NASA EG-1997-10-116-HQ Purpose To calculate the distance between scale models of Earth and the Moon. Background As long as people have looked at the Moon, they have wondered how far away it is from Earth. The average distance to the Moon is 382,500 km. The distance varies. because the Moon travels around Earth in an elliptical orbit. At perigee, the point at. which the Moon is closest to Earth, the distance is approximately 360,000 km. The full moon rises behind some trees in this photo taken by skywatcher Brad Ervin in Bruswick, Georgia on March 19, 2011, when the moon was closer to Earth than it had been in 18 years. In the former, they found that the Moon was imperfectly blocked by the shadow of the Earth, and that the shadow was roughly 2.5 times the width of the Moon. In the latter, they noted that the Moon was of sufficient size and distance to block out the Sun. Also, since we know the time taken by the Earth to go once around the Sun (P = 1 year), and the distance traveled by the Earth in this process (approximately 2\u03c0a, since Earth's orbit is nearly circular), we can calculate the average orbital speed of Earth as v = (2\u03c0a)/P. Query: how far is earth from the moon?\n", "labels": "The average distance between the Earth and the Moon is 382,500 km.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-9209fb97ed384bb18818ab8a975e62b2"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The average American is exposed to \u2026 about 3000 advertising messages a day; at least three thousand ads every day; 100 advertisements before 9 am each day. 247 advertisements in one day; 5000 advertising and promotional messages per day; over 30000 commercials each year The data reaffirms much of what Nielsen has found in past studies, namely that television remains by far the dominant medium for video viewing. The Ball State study found that the average American adult was exposed to five hours and nine minutes of live TV each day, almost 15 minutes of TV via a DVR device and 2.4 minutes of video on the computer. They cite many references that give numbers for how many ads we see daily. One such example : \u201cThe average American is exposed to 247 commercial messages each day.\u201d Consumer Reports Website But the numbers just go up from there. Estimate 1: 3,000 a day. \u201cThe average American is exposed to over 3000 ads every day. The ads increasingly encroach upon our public space \u2014 our schools, our public transportation, our buildings, and even our beaches (a new technique enables the advertisers to stamp their ads onto the sand at beaches.) How many ads to people see on average on their mobile devices in a day? How many users click on ads on Facebook every day? How can PPC/CPC be assessed for a banner ad? Since people are spending more time away from home, marketers are spending more money on bringing TV to you: in shopping malls and in grocery stores. There's even an Autonet in auto repair shops, and of course, advertising reaches people on computers and movie screens. There's more media than ever before, Mandese said. waking day, that would give a total of 76 advertisements of which a person is to some degree aware. Charles F. Adams, working with the Bauer and Greyser data in 1965, emphasized that of the 76 advertisements a day of which a person might be aware, only 12 made any kind of impression on him, and three of those impressions were negative. If \u201cexposure\u201d means you could have In the golden age of television, an ad on one of the big three networks could reach 70 percent of the viewing audience. But then the landscape changed: along came cable digital video recorders like Tivo, which allow viewers to fast forward through ads with the click of a remote. IN a world with grocery store television screens, digitally delivered movie libraries and cellphone video clips, the average American is exposed to 61 minutes of TV ads and promotions a day. Some people may think that amount seems excessive. In one 45-minute journey, the average London commuter is exposed to more than 130 adverts. Only half of that information makes any impact, while unprompted we can remember none of the blur of adverts, according to new technology tested by the Guardian. By Owen Gibson. Query: how many ads is the average person exposed to a day\n", "labels": "The average person exposed 3000 ads every day.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-0fc1bb789e904886a38c96753872606e"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Alcohol does show up on most drug tests. 1  There is no \u201cmagic bullet\u201d or over the counter products for cleansing our system of alcohol. These are some things to try that may accelerate the process: 2  Drink plenty of pure water. Take a vitamin B supplement. 3  Exercise. 4  Eat healthy food. Summing Up: How Long Does THC Stay In Your Urine? Drug urine tests for weed have all kinds of shortcomings and inadequacies. But they are good at one thing: revealing whether or not the person being tested has consumed cannabis, in some form, at some point in the past. The amount and frequency of any drug use will alter the amount of time that it takes to filter out of the body. It stands to reason that using drugs on a continuous basis over a long period of time will lengthen the amount of time that detectable amount drugs can be found in your system. Urine tests will also differ depending on the drug\u2019s half-life but can detect most drugs for about two to four days. Drugs that can linger longer include marijuana and PCP. Hair tests generally reveal drug use between one week and 90 days after use. lsd is not real its in a lot of drugs and it strews in your neck. - 3-5 days in urine (eTg), up to 90 in hair and around 10 - 12 hours in blood. Amphetamines - 1 to 3 days in urine, up to 90 in hair and around 12 hours in blood. MDMA (Ecstasy) 3-4 days in urine, up to 90 in hair and 1 - 2 days in blood. Here's how long various drugs stay in your body. Contrary to what many advertised drug tests might promise, not all substances leave their telltale chemical signature in the body for the same amount of time. Traces of these metabolites are what drug testers look for, since they're a good indication that someone has actually used a drug rather than merely come into accidental contact with it. And while hair-based drug tests are fairly accurate, tests of blood and urine are simply unable to detect the vast majority of drugs, so long as you haven't used for about a week. Heroin, for example, is generally undetectable in urine after three to five days. As the chart below shows, traces of drugs like LSD, morphine, heroin, amphetamines, and alcohol all remain in the blood for just 12 hours or less: Dragan Radovanovic/Business Insider How Long Do Drugs Stay In Your System? Just like each type of drug has its own effects, each type also takes a different amount of time to metabolize and exacts a different toll on the body. Even drugs of the same type, such as opiates like Percocet and Vicodin, can clear the body at very different speeds. PCP can be found in urine within 4 to 6 hours after use and will remain in urine for 7 to 14 days, depending on factors such as metabolic rate, user\u2019s age, weight, activity, and diet.5 Phencyclidine is excreted in the urine as an unchanged drug (4% to 19%) and conjugated metabolites (25% to 30%). The Varying Detection of Drug Testing Timelines. 1  Single or small doses of any given drug won\u2019t last as long in your system and are not as easily detected. 2  If you have a fast-metabolic rate, you will have a shorter detection of the drug in your body. 3  Your body mass will determine how fast or slow your body metabolises. Query: how long drugs stay in urine\n", "labels": "Most drugs stay in urine for about two to four days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-2877364ee8c84243aa95361813d9b464"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Patients and their family members often want to know how long a person who has cancer will continue to live. It\u2019s normal to want to be prepared for the future. But predicting how long someone will continue to live is a hard question to answer. And, if they develop uncontrolled symptoms in the last week, they can still receive Palliative Sedation. Is VSED ethical? Is it suicide? It is not suicide. If the goal is to alleviate or prevent suffering, it is considered ethically acceptable for someone who is capable of making an informed decision. VSED must be distinguished from the naturally occurring loss of appetite and interest in food or water that occurs at the end of life. Last Updated: Thursday 14 July 2016 09:58. What is VSED (Voluntary Stopping Eating & Drinking)? This refers to the decision by a patient to stop eating food and drinking liquids when they have a terminal or life-limiting disease, so that their death can be hastened (and therefore their dying will not be prolonged). Withdrawal from friends and family: 1  People often focus inward during the last weeks of life. 2  They may lose interest in things they used to enjoy, such as favorite TV shows, friends, or pets. 3  Caregivers can let the patient know they are there for support. Why would someone stop eating and drinking? We know that up to 35% of patients in hospice programs have severe pain in the final week of life and 25% describe having shortness of breath that is \u201cunbearable\u201d. With such uncontrolled symptoms, they might say \u201cI\u2019m tired of this and I just want to go to sleep and not wakeup\u201d. How long you can get hospice care. 1  You can get hospice care for two 90-day benefit periods, followed by an unlimited number of 60-day benefit periods. 2  You have the right to change your hospice provider once during each benefit period. How long you can get hospice care. Hospice care is for people with a life expectancy of 6 months or less (if the illness runs its normal course). If you live longer than 6 months, you can still get hospice care, as long as the hospice medical director or other hospice doctor recertifies that you\u2019re terminally ill. 1  You can get hospice care for two 90-day benefit periods, followed by an unlimited number of 60-day benefit periods. If your health improves or your illness goes into remission, you may no longer need hospice care. You always have the right to stop hospice care at any time. If you choose to stop hospice care, you'll be asked to sign a form that includes the date your care will end. At the start of each benefit period after the first 90-day period, the hospice medical director or other hospice doctor must recertify that you\u2019re terminally ill, so you can continue to get hospice care. If you live longer than 6 months, you can still get hospice care, as long as the hospice medical director or other hospice doctor recertifies that you\u2019re terminally ill. You can get hospice care for two 90-day benefit periods, followed by an unlimited number of 60-day benefit periods. Query: how long does hospice care last when someone is not eating\n", "labels": "Hospice care is for people with a life expectancy of 6 months or less. If you live longer than 6 months, you can still get hospice care, as long as the hospice medical director or other hospice doctor recertifies that you\u2019re terminally ill.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-a929cf3747574c2ca78450388e13e631"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: There could be any number of reasons. The money has to come from the seller\u2019s or originator\u2019s account before it can be sent to you. This can take several business days. Also, the refund will be made to the original payment source. Was that your de... Re: How long will my refund take to clear? If you funded the original paypal payment to the seller with a debit or credit card then it won't go back to your paypal balance. Once marked as completed it will automatically go back to your bank account or credit card but takes up to a week to process through to the bank and a bit longer for a c.c. Can you reopen a claim if it has been 17 aug 2017 how long does refund take to appear on my credit debit statement? Refunds paypal are instant and the funds instantly removed from will receive an email confirmation when your nike is processed. Refund? Paypal Paypal on the web it deposit my refund prepaid faq shopify payments center. How do i make a payment? Can pay online with 2 may 2012 as soon am refunded my money, plan to close the account. How long would it take for the refunded money to a paypal solved i'm not seeing my refund yet. I cannot take the money out do i have to pay rent with my which there could be any number of reasons. The money has to come from the seller's or originator's account before it can be sent you. Re: How long will my refund take to clear? I paid on a clothing website via PayPal they refunded me for an item it will say complete on your PayPal account but it won't clear for at least 2 too 3 days it's super annoying but I've had the same problem so wanted to share! There could be any number of reasons. The money has to come from the seller\u2019s or originator\u2019s account before it can be sent to you. This can take several business days. Also, the refund will be made to the original payment source. Was that your debit card? If there\u2019s a problem with refunding it to your card, then it will be credited to your PayPal account. To know for sure, log in to your PayPal account and check the status: Here\u2019s how to view the latest status: 1  Log in to your PayPal account. 2  Click Activity at the top of the page. 3  Click Advanced search to see the dropdown menu. 4  Select Refunds. 5  If needed, select the desired date range to see your refund. 6  Click the refunded transaction to view the details. This can please contact your card issuer or paypal if you do not receive refund within 30 so it may take up to days for the funds appear back in account 2122 jan 2017 this regard, does have a buyer protection scheme but doesn't internet and read through reviews of same goods what $100. How long will my refund take to clear? I bought an item on eBay and paid for it then the seller advised me it was faulty so they have refunded me. This shows in .y PayPal history but not in my balance or in my bank account. How long does it take paypal to refund a payment? I've recently placed an order using paypal with my checking account and noticed The recipient of this payment is Unregistered at the transaction details.After seeing this I canceled the payment and was wondering how long it would take paypal to refund my money. Moving on, the refund will take as long as it take for the original payment to clear your bank. A payment through PayPal takes 3-4 business days to clear your bank account. Essentially 3-4 business days after the orignal transaction date, the funds will appear in your PayPal balance. Query: how long do paypal payment refunds take\n", "labels": "Paypal payment refund takes a week if payment made by a debit card or credit card.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-068379df6f8d4e86b37a3381b5345ba2"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Children can learn a great deal by example, so it really helps if their older brothers and sisters enjoy chess. As with anything in life, chess takes practice. It\u2019s a bit like learning a language. Chess educators Laura Sherman and Bill Kilpatrick have created an easy, step-by-step method for teaching chess that parents of all skill levels can use to teach children of any age. You don't have to know how to play in order to use the system. It's completely impossible to actually teach her chess at this age though. So the answer to the question can only be it depends entirely on the child. Whenever the kid becomes interested in learning chess is the best age. (that said, if they taught the rules of chess at school right now, she'd probably soak them up. Best Answer: I have taught chess play to kids as young as 3. The age doesn't matter. Here are the signs to look for: 1. The child knows how to share and take turns. 2. The child asks you to show them first. 3. Some children would stuggle with chess when they are ten or twelve. For that matter, some adults struggle with chess. So being prepared to learn to play chess is not so much tied up in a number such as an age, as in the mental capacity to comprehend the game and the interest to learn it. At schools where I have worked chess clubs usually start for children at about second or third grade, so at about 7 or 8 years of age. The purposes of integrated Ho Math and Chess program are to: 1  improve school math marks. 2  improve problem solving ability and critical thinking ability. 3  learn how to play chess. 4  boost brainpower. I can teach a three year old to play violin... I'm pretty sure I can teach them checkers too. I'm a year late, but I'll try it out on my four year old and let you know how it turns out. My husband taught our son to play when he was 6 yrs old (he is now 9). Our daughter who is now 6 learned when she was 5 (she is very competitive with her older brother)! That being said, I don't think age really matters. It's more about being able to learn the pieces and how they move. After learning the pieces and moves, the key was to learn to anticipate what the opponent might do based on your move (like checkers). #17 Jul 25, 2010. Children should not learn chess! Let them grow up to be Physicists, Mathematicians, Engineers, Artists, anything but a worthless Grand Master chess palyer at the age of 21! Chess is a waste of time and there is no money in it: it is a hell of way to try to live as a Professional Chess player. Perhaps they were taught the rules too quickly and never quite grasped them. These parents sometimes feel that a child must be a genius in order to pick up chess and play a game. This isn\u2019t the case. Anyone can learn to play and the fact is that chess helps children become smarter. Tackling this problem, Chess Is Child\u2019s Play teaches the parent to play, while teaching them to teach their child. Even a parent who has never seen a chess set can pick up this book and teach their children. Query: at what age can children learn chess\n", "labels": "Whenever the kid becomes interested in learning chess is the best age.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ef71194fc0bf4f4fad66b094c7d2862c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Endorsement: If you make a deposit to an account and you fail to endorse the item, we may add an endorsement on any item and you will be responsible for the item as if. you endorsed it yourself. We can refuse to accept any item for deposit for any reason, or no reason, or impose conditions on a deposit. Wells Fargo will let you know as quickly as possible whether there will be a hold on a deposited check. If possible, the teller will notify you immediately at the time of deposit and your receipt will show how much of the deposit is being held and when the funds will be available to you. A hold means that although a check amount was credited to your account, it's not available for your use. Wells Fargo Bank's general policy is to make deposited funds available on the first business day after the Bank receives a deposit. In some cases, however, we may place a hold on funds deposited by our customers. What happens when a hold is placed on your funds? During the time a hold is in effect, you should not write checks against or attempt to withdraw the held funds. If a hold has been placed, we may return checks that you have written if the aggregate amount of funds (not including the \u201chold\u201d check) in your account is insufficient to pay the checks (which are subject to additional charges) or not process withdrawals against these funds. Rental Property #1 \u2013 Security Deposit Checking Account. The only money in this account is the security deposit for property #1. Rental Property #2 \u2013 Security Deposit Checking Account. The only money in this account is the security deposit for property #2. Rental Property #3 \u2013 Security Deposit Checking Account. The only money in this account is the security deposit for property #3. Inquire with your bank upon the deposit of any check. The federal government provides guidelines for check holds which your bank must follow and must make clear to you each time a check is deposited. According to the federal reserve any U.S. government issued checks, postal checks, cashier or bank checks and checks issued by the same bank you are depositing with must be cleared by the next business day. All others must clear $100 by the next day but the rest can be held for varying amounts of time. relationship between you and the Bank created by the opening of. an Account is of debtor and creditor and that the Bank is not in any. way acting as a fiduciary for you or your benefit and that no special. relationship exists between you and the Bank. Bank. 1  When funds become available: 2  The first $200 of the check amount is available for cash withdrawal no later than one business day after the deposit. 3  The first $200 of your deposit is available on the first or second business day after the deposit. The length of time your money is held depends largely on bank policy. Some banks will hold funds for as little as one business day, while others will hold funds for longer. How long a hold is in effect also depends on the source of the check. An out-of-state personal check might be held for three or four days, while a check issued by the U.S. Treasury might have no hold at all. In some cases, depending on how large the check is, and who issued it, the hold can be as long as five to 10 business days. For banks, the hold is a way of limiting risk. The bank is paying money to you, and acting in good faith on the assumption that there is money in the account the check is drawn on. Your bank has to request that the other bank transfer the funds, based on the information in the check. If there isn\u2019t money in the other account, your bank loses out if it pays you and you ... The table below displays the availability of each deposit type, according to the deposit method used. It assumes deposits were made into the payee\u2019s account; when you deposit a check made out to someone else, there will generally be a longer hold on the funds. There are different ways you can set up direct deposit for items like your salary, pension, Social Security or other federal benefit payments and regular monthly income: Complete the Ally Bank direct deposit form (PDF) and give it to the company or agency issuing the funds. Query: how long should a out of state bank deposit be held for funds\n", "labels": "An out-of-state personal check might be held for three or four days, while a check issued by the U.S. Treasury might have no hold at all. In some cases, depending on how large the check is, and who issued it, the hold can be as long as five to 10 business days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-507c0a108cb24458a1dceee774713996"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Quickly convert Pacific Standard Time (PST) to time in Austin, Texas with this easy-to-use, modern time zone converter. Austin, Texas, Information Known for its casual and playful nature, Austin is the playground of Texas. Situated at the centre of the Lone Star State, it stands as the gateway to the Texas Hill Country and the Highland Lakes. Getting Started. 1  1 Add locations (or remove, set home, order) 2  2 Mouse over hours to convert time at a glance. 3  3 Click hour tiles to schedule and share. + 4  Sign in to save settings - it's FREE! Converting PST to Austin Time This time zone converter lets you visually and very quickly convert PST to Austin, Texas time and vice-versa. Simply mouse over the colored hour-tiles and glance at the hours selected by the column... and done! Austin, TX City of Austin, Capital of Texas, USA . Current time now incTime Zone: America Chicago (USA Central Time) Converting PST to Austin Time. This time zone converter lets you visually and very quickly convert PST to Austin, Texas time and vice-versa. Simply mouse over the colored hour-tiles and glance at the hours selected by the column... and done! PST stands for Pacific Standard Time. Austin, Texas time is 2 hours ahead of PST. Pacific Standard Time (PST) to Austin, Texas ( in Austin) 12 am PST: is : 2 am in Austin: 1 am PST: is : 3 am in Austin: 2 am PST: is : 4 am in Austin: 3 am PST: is : 5 am in Austin: 4 am PST: is : 6 am in Austin: 5 am PST: is : 7 am in Austin: 6 am PST: is : 8 am in Austin: 7 am PST: is : 9 am in Austin: 8 am PST: is : 10 am in Austin: 9 am PST: is : 11 am in Austin: 10 am PST: is : 12 pm in Austin Austin, Texas, Information. Known for its casual and playful nature, Austin is the playground of Texas. Situated at the centre of the Lone Star State, it stands as the gateway to the Texas Hill Country and the Highland Lakes. As the state capital and home to the University of Texas, the city supports a politically charged and culturally rich environment. Blessed with a temperate year-round climate and 300 days of sunshine a year, Austin lives for the outdoors. Nature trails, parks and wilderness preserves create an oasis in the heart of the city. Town Lake bisects the centre of downtown and is bordered by 10 miles of hike-and-bike trails where devoted joggers, walkers and cyclists flock every hour of the day. Austin, Texas, Websites . City of Austin website . Visit Austin website . Austin, Texas, Information . Known for its casual and playful nature, Austin is the playground of Texas. Situated at the centre of the Lone Star State, it stands as the gateway to the Texas Hill Country and the Highland Lakes. Query: austin is what time zone\n", "labels": "Austin is in USA Central Time zone.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-606b6644b53942ec834d6ac98878df96"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Other Information. If you have already filed for passport renewal, you will be able to check the status of your passport online. Five to seven days after your passport application has been filed, you can be able to use the Internet to track your application. How long will it take to get my passport after I apply? Processing times vary depending on the volume of applications. The average time for a mailed-in application is 4 weeks. If the application is submitted in person at the passport office, you can obtain your passport in 24 hours. Do I need to send in my birth certificate when applying for a passport renewal? No, you do not. Your new passport will be sent to you by courier or Royal Mail. 1  They\u2019ll either: 2  post it through your letterbox. 3  hand it to you if you\u2019re home. 4  leave a card or post you a letter saying how you can get it (it won\u2019t say the package is your passport) You must be aged 16 or over (or turning 16 in the next 3 weeks) if you want an adult passport. There\u2019s a different process to get a passport for a child. If you\u2019re in the UK you can: renew your passport if it\u2019s expired or will expire soon (including if you currently have a child passport) replace your passport if it\u2019s been lost, stolen or damaged It costs \u00a372.50 to renew or replace your passport, or \u00a382.25 if you use the Post Office\u2019s Passport Check and Send service. You must be aged 16 or over (or turning 16 in the next 3 weeks) if you want an adult passport. There\u2019s a different process to get a passport for a child. If you\u2019re in the UK you can: 1  renew your passport if it\u2019s expired or will expire soon (including if you currently have a child passport) 2  replace your passport if it\u2019s been lost, stolen or damaged. 3  change the details on your passport. How long is a passport valid for? A Canadian Passport is valid for five years. Do I need a passport? Yes, if you are traveling by air or by car to the U.S. or internationally you must have a passport. If it is within Canada is it recommended. Can I apply for a passport at a consulate or embassy? How long it takes. It should take 3 weeks to get your passport. Use a different service if you need it urgently. It can take longer if more information is needed or your application hasn\u2019t been filled in correctly. Don\u2019t book travel until you have a valid passport - doing so is at your own risk. Start the application review process. 1  1 Tell us which type of application you need help with. 2  2 Make your payment and download the forms. 3  3 Fill in the forms and send them to us. 4  4 We\u2019ll return the forms within 24 hours with our comments and advice. How long is a Canadian passport valid? An adult Canadian passport is valid for 5 or 10 years. A child passport is valid for 5 years. When I could renew my Passport? You may renew your passport if: Your passport expired in the last year Your passport is expiring in the next 7 months Your passport pages are full Passport renewal is a long and tedious process. Oftentimes, you will get impatient when waiting for your new passport to come. In order to avoid confusion and frustration, doing your research is a must. Query: how long to process passports\n", "labels": "It takes 4 weeks to process passports.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-160fc09444b44d2dba18510e48608134"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: From Champagne to Bailey\u2019s Irish Cream, here\u2019s a consumer\u2019s guide to how long your favorite bottles of alcohol will last once you pop the cork or break the seal. 1. Wine. iStock. While some wines improve with age, once opened, their shelf life drops dramatically. 2. Sparkling wine. iStock. You can still enjoy a half-finished bottle of wine -- but don't wait too long. (Image: ktsimage/iStock/Getty Images) Whether you only felt like a single glass or the party wound down with a few half-empty bottles lying around, you don't need to pour out the rest of your wine. Wine Life Expectancy. Exactly how long your wine will last depends on the wine itself. Most red and white wines will last for about two to three days after opening; after this point, they begin to sour and lose their flavor. Sparkling wines lose their carbonation almost immediately and should be enjoyed as soon as they are opened. How long does a box of red plonk tend to last, once opened, given that each contains about four litres when full? THE ANSWER As you tap the spout to pour, the bladder collapses, just like those burp-free Playtex Nurser baby bottles. This minimizes the wine's exposure to air, and thus to the corrosive effects of oxidation, as it's dispensed. A boxed wine can survive nicely for several weeks after opening. The bag offers a less-than-perfect hermetic seal, however. Small amounts of air get in over time, even if the box remains unopened. Typically, it's meant to be consumed within nine months to a year, and many boxes come stamped with best-before dates. Now here you are the next day/three days/week with half a bottle of wine and the timeless question: How long does an open bottle of wine last, really? Because wine can be made in so many different ways, it\u2019s impossible to give you a hard out on all wines. That would be like asking how long you have to eat a Snickers after you unwrap it, versus how long you have to eat an organic banana after you peel it. They are radically different. One is built to sit on gas station shelves for years, and the other just got picked and has about three days before it dies. It's similar with wine. The best way to keep wine after you\u2019ve opened it, is to remember to recork it and put it in the fridge. By recorking and refrigerating, you\u2019re limiting the wine\u2019s exposure to oxygen, heat, and light. These are all the things that take a bottle of wine from being next-day-decent to downright disgusting. If you were responsible enough to remember these precautions before you hit the hay, a bottle of red or white wine can last approximately between two and five days. By contrast, fortified wines such as port or sherry can last several weeks or more; the higher the alcohol content, the longer the life of the wine. Wine lifespan varies depending on the acidity of the wine; a high-acidity wine such as a Riesling or Sauvignon Blanc will survive a little longer than a lower-acidity wine such as a Pinot Grigio. For sparkling wine, you have one to three days (it will for sure go flat, but it\u2019s still drinkable, and sometimes chugging flat sparkling wine after a long day is better than no wine at all). A wine could go bad in a day if it\u2019s an unstable natural wine, or it could last for a week if it\u2019s a highly tannic, commercial red you haven\u2019t touched since the night you accidentally opened it. Boxed wine \u2013 it's nice to know this newspaper hasn't lost touch with the common folk. I believe this question is a sequel to a recent answer I tendered regarding the longevity of an open bottle. It was, of course, callously presumptuous of me to assume that all people drink wine from old-fangled glass containers. The answer is: pretty long. Chardonnay, Pinot Noir, Cabernet Sauvignon) are only good for approximately three to five days after opening. Alternatively, fortified wines such as Port and sweet wines such as Sauternes can last about a month after opening due to the acidity and high sugar content which act as preservatives. Query: how long will wine stay good after opening\n", "labels": "For sparkling wine, you have one to three days (it will for sure go flat, but it\u2019s still drinkable, and sometimes chugging flat sparkling wine after a long day is better than no wine at all).", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-5e64619ba555429fb0be99f67c4c0aef"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: A heart attack can happen to anyone, woman or man, young or old. Some people are more at risk because of certain health problems, family health history, age, and habits. These are called risk factors. You can't change some risk factors, like your age, race or ethnicity, or family history. A Month Before a Heart Attack, Your Body Will Warn You With These 8 Signals! - Duration: 6:24. 7ReMix Healthy Tips TV 189,400 views A heart attack occurs when one or more of your coronary arteries become blocked. Over time, a coronary artery can narrow from the buildup of various substances, including cholesterol (atherosclerosis). This condition, known as coronary artery disease, causes most heart attacks. Although a heart attack is a frightening event, if you learn the signs of a heart attack and what steps to take, you can save a life\u2014perhaps even your own. Many people think that heart attacks are a \u201cman\u2019s problem,\u201d yet heart disease is actually the number one killer of both men and women in the United States. To diagnose a heart attack, an emergency care team will ask you about your symptoms and begin to evaluate you. The diagnosis of the heart attack is based on your symptoms and test results. The goal of treatment is to treat you quickly and limit heart muscle damage. Tests to Diagnose a Heart Attack. ECG . Symptoms of a heart attack may be immediate and intense. More often, though, symptoms start slowly and persist for hours, days or weeks before a heart attack. Unlike with sudden cardiac arrest, the heart usually does not stop beating during a heart attack. The heart attack symptoms in women can be different than men. What is cardiac arrest? About every 40 seconds, someone in the United States has a myocardial infarction (heart attack). Your heart muscle needs oxygen to survive. A heart attack occurs when the blood flow that brings oxygen to the heart muscle is severely reduced or cut off completely (View an animation of blood flow). Several studies have demonstrated that there is seasonal variation in heart attacks. They are most likely to occur in the winter, and least likely to occur in the summer. This is not just true for heart attacks, but also other cardiovascular events. Several explanations have been proposed. Heart attacks may seem like a senior citizen phenomenon, considering that about 82% of people who die of coronary heart disease are at least 65, according to the American Heart Association. But sudden heart problems can occur much earlier in life, too. Every 40 seconds, someone in the United States has a heart attack. 1. A heart attack, also called a myocardial infarction, occurs when a part of the heart muscle doesn\u2019t receive enough blood flow. The more time that passes without treatment to restore blood flow, the greater the damage to the heart muscle. Query: how does a heart attack occur\n", "labels": "A heart attack occurs when one or more of your coronary arteries become blocked.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-f949cf0b01cf47a78a60dd3ae7eb4437"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Needs other sources: Pediasure only contains a small amount or iron. The child must need iron from other sources in the diet. Pediasure only contains 15% of the days requirement for iron. Iron suppements can be used or foods containing more iron should be introduced in to the diet. Meats, fish and green leafy vegetables are good sources of iron. ... Description: PediaSure liquid nutrition for children is an isotonic enteral nutritional product designed to provide complete balanced nutrition for children 1 to 10 years of age. Fed either by tube or orally, PediaSure can be used as total enteral nutrition support or as a supplement. Indications And Clinical Uses: Enteral nutritional support by tube or by mouth for children 1 to 10 years of age. Support for growth. Talk to a healthcare professional about use of this product if your child is younger than 2 years of age. PediaSure products are not intended for infants younger than 1 year of age. According to the American Academy of Pediatrics, infants under a year old should be breastfed or fed an iron-fortified infant formula. Still searching? Pediasure: hellomy son is 14 months old but weighs only 9 kilos hence i am feeding him pedisure from past 2 days.has any one used pediasure for babies aged between 1 to 2 years? does ... Advertisement That\u2019s the equivalent of 4.5 teaspoons of sugar per one bottle of PediaSure\u00a9. No wonder kids love this drink! What other dirty ingredients are in PediaSure\u00a9? After sugar, it is followed by Corn Maltodextrin (GMO \u2013 genetically modified organism), which is used as a thickener in soft drinks, salad dressings, and soups. When you have an unpredictable eater, PediaSure SideKicks \u00ae helps fill in the gaps. LEARN MORE Pediasure (Strawberry) 8-Fl-Oz Can Ready To Use . - 1 Case Of 24. PediaSure is a source of complete, balanced nutrition specially designed for the oral feeding of children 1 to 13 years of age. May be used as the sole source of nutrition or as a supplement. Formulated for oral feeding. PEDIASURE 1.5 CAL WITH FIBER is a higher* caloric density product designed to meet the higher energy requirements of pediatric patients who are at risk for malnutrition, require a higher caloric density, or have fluid restrictions. PEDIASURE 1.5 CAL WITH FIBER provides a source of Complete, Balanced Nutrition\u00ae for children 1 to 13 years of age. May be used as the sole source of nutrition or as a supplement. Formulated for oral or tube feeding. Use under medical supervision. * PediaSure Complete \u00ae can be heated so that it is warm, but should not be made so hot as to burn the mouth. Be sure to check the temperature of the product before offering it to your child. (Although it is not necessary to check the temperature with a thermometer, if one is used, the temperature should be in the range of 100\u00b0F to 110\u00b0F.) Milk-based, complete, balanced nutrition -- 1.0 Cal per mL, 237 Cal per 8 fl oz, from a balanced distribution of protein, fat and carbohydrate (protein 12%, fat 35%, carbohydrate 53%) 1  For tube or oral feeding. 2  Gluten-free and lactose-free (Not for children with galactosemia.) 3  Calcium/phosphorus ratio of 1.2:1. Query: at what age may pediasure be used\n", "labels": "PediaSure products are intended for infants more than 1 year of age.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-208f2aa6b5f34ca487e289d65a3a5314"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: For colds, most individuals become contagious about a day before cold symptoms develop and remain contagious for about five to seven days. Some children may pass the flu viruses for longer than seven days (occasionally for two weeks). How long are you contagious with the flu for? The influenza virus, also known as the common flu, is a highly contagious respiratory virus that affects all age groups. The virus has a different effect on every person, and symptoms can range from mild to life-threatening. A common cold and the flu are easily spread from person to person, the flu most often by droplets produced by coughing and sneezing. Cold viruses in droplets are spread mainly hand to hand. These droplets contain the infectious viruses. How long is a cold or flu contagious? Both colds and the flu are contagious and are caused by viruses. However, the viruses that cause colds (for example, rhinoviruses) are not the same as those that cause the flu (influenza viruses). Flu symptoms include: 1  Fever. 2  Chills. 3  Runny nose. 4  Headache. 5  Muscle aches. 6  Warm, flushed skin and watery eyes. 7  Weakness or fatigue. 8  Sore throat. With flu season making it's earliest start in years, and certain strains of the virus hitting unlucky Americans hard this year, it\u2019s important to be extra vigilant in your efforts to avoid catching it. I recently got this question emailed to me by a concerned viewer: Q: When is someone who has the flu contagious? Some people who are infected with the influenza virus can actually transmit the illness before they begin to feel any symptoms. Most of the time, you will become contagious about 24 to 72 hours after contracting the influenza virus and remain that way for up to five days after the onset of symptoms. But children or people with compromised immune systems can be contagious to those around them for up to two weeks. Trending in Health. 1  1 Newborn left in gym bag outside Atlanta medical facility. 2  2 Texas hospital forced to evacuate patients due to lack of water. 3  3 Ovarian cancer symptoms and warning signs. 4  4 Indiana man in a coma with confirmed case of West Nile virus. 5  5 Mom delivers baby inside amniotic sac en route to hospital. Most experts agree that adults with a cold or the flu start being contagious about a day before they start experiencing symptoms. For the flu, the contagious period then lasts five to seven days into the illness. For children, the contagious period for the flu can last up to two weeks after they start feeling sick, even if they start feeling better before that. The contagious period for a cold lasts about three to four days into the illness. As a general rule, people with a cold are most contagious about three days after their initial exposure to the virus. For more information on colds, influenza and related topics, check out the links on the next page. Top How Long Is a Cold or Flu Contagious Related Articles Aches, Pain, Fever Although a fever technically is any body temperature above the normal of 98.6 F (37 C), in practice, a person is usually not considered to have a significant fever until the temperature is above 100.4 F (38 C). How long is a cold or flu contagious? How will I know if I have a cold or the flu? How do cold and flu viruses spread? How will I know if I am cured of the flu or a cold? When should someone seek medical care for a cold or the flu? Query: how long am i contagious from the flu\n", "labels": "The contagious period for the flu can last up to two weeks.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-70979f115ec94f91a5133a2c5e4d3542"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Weather. Today's Forecast; Hourly Forecast; 10 Day Forecast; Monthly Forecast; National Forecast; Get Notifications; Maps. Weather in Motion\u00ae Radar Maps; Classic Weather Maps; Regional Satellite; Driving Difficulty Map; Traffic and Radar NEW! Severe. Severe Alerts; Hurricane Central; Tornado Central; Local Severe Storm Risk; Winter Storm Central; Safety and Preparedness Find the most current and reliable 7 day weather forecasts, storm alerts, reports and information for Kurunegala, LK with The Weather Network. Be prepared with the most accurate 10-day forecast for Kurunegala, Sri Lanka with highs, lows, chance of precipitation from The Weather Channel and Weather.com Be prepared with the most accurate 10-day forecast for Kurunegala, Sri Lanka with highs, lows, chance of precipitation from The Weather Channel and Weather.com Scan for updated forecast Connection restored! See the links below the 10-day Kurunegala weather forecast table for other cities and towns nearby along with weather conditions for local outdoor activities. Kurunegala is 161 m above sea level and located at 7.49\u00b0 N 80.36\u00b0 E. Kurunegala has a population of 28571. Local time in Kurunegala is +0530. View the latest weather forecasts, maps, news and alerts on Yahoo Weather. Find local weather forecasts for Kurunegala, Sri Lanka throughout the world View the latest weather forecasts, maps, news and alerts on Yahoo Weather. Find local weather forecasts for Kurunegala, Sri Lanka throughout the world Kurunegala, Sri Lanka weather text for Mon 26 th February. It looks on Monday, 26 February the Kurunegala, Sri Lanka weather is going to be fog. The visibility is going to be around 16 km i.e. 10 miles and an atmospheric pressure of 1010 mb. The daytime temperature is going to reach 29 \u00b0c and the temperature is going to dip to 20 \u00b0c at night. Category 6. Welcome to Category 6. This is the collective home for Weather Underground's featured writeups by Dr. Jeff Masters (right), Bob Henson (left), Chris Burt, and other regular contributors. Location: Kurunegala. Current Time: Jan 18, 2018 at 9:58:55 am. Latest Report: Jan 18, 2018 at 8:30 am. Visibility: 13 mi. Pressure: 29.89 Hg. Humidity: 76%. Dew Point: 67 \u00b0F Access hourly, 10 day and 15 day forecasts along with up to the minute reports and videos for Kurunegala, Sri Lanka from AccuWeather.com Get the Kurunegala weather forecast. Access hourly, 10 day and 15 day forecasts along with up to the minute reports and videos for Kurunegala, Sri Lanka from AccuWeather.com Get the Kurunegala weather forecast. Access hourly, 10 day and 15 day forecasts along with up to the minute reports and videos for Kurunegala, Sri Lanka from AccuWeather.com my recent locations \u00b0c The only major change in the Kurunegala weather occurs during the monsoons from May to August and October to January when heavy rains can be expected. While the city does experience a noticeably drier weather during January and February, it does not qualify as a true dry season as average precipitation in both months are above 60 millimetres (2 in). Query: how is the weather in kurunegala\n", "labels": "On Monday, 26 February, Kurunegala, Sri Lanka weather is going to be fog and the daytime temperature is going to reach 29 degrees Celsius and the temperature is going to dip to 20 degrees Celsius at night.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ad6eb3b94709480c8e1720a5e1fb160d"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Titan is the largest moon of Saturn. It is the only moon known to have a dense atmosphere, and the only object in space other than Earth where clear evidence of stable bodies of surface liquid has been found. Titan is the sixth gravitationally rounded moon from Saturn. Frequently described as a planet-like moon, Titan is 50% larger than Earth's Moon, and it is 80% more massive. It is the second-largest moon in the Solar System, after Jupiter's moon Ganymede, and is larger than the smallest plane Discovered in 1655 by the Dutch astronomer Christiaan Huygens, Titan was the first known moon of Saturn, and the sixth known planetary satellite (after Earth's Moon and the four Galilean moons of Jupiter). Titan orbits Saturn at 20 Saturn radii. From Titan's surface, Saturn subtends an arc of 5.09 degrees and would appear 11.4 times larger in the sky than the Moon from Earth. Titan is primarily composed of water ice and rocky material. Saturn's orbit around the sun is right around a billion miles out. Earth's orbit is just inside 100 million. So, Saturn can be as close to us as just under a billion miles, or \u2026 as far away as nearly 2 billion, depending on what side of the sun we're on. Saturn orbits the sun once every 30 years. How far is the planet Saturn from planet Earth? The planet Saturn was relatively close to Earth on December 31, 2003, when it was about 746 million miles away. It is some 900 million miles away from the sun. Titan is the largest moon of Saturn. It is the only moon known to have a dense atmosphere, and the only object in space other than Earth where clear evidence of stable bodies of surface liquid has been found. Titan is the sixth ellipsoidal moon from Saturn. Frequently described as a planet-like moon, Titan is 50% larger than Earth's Moon, and it is 80% more massive. It is the second-largest moon in the Solar System, after Jupiter's moon Ganymede, and is larger than the smallest planet, Mercury, but only 40% as massive. Viewed from Earth, Titan reaches an angular distance of about 20 Saturn radii (just over 1,200,000 kilometers (750,000 mi)) from Saturn and subtends a disk 0.8 arcseconds in diameter. The small, irregularly shaped satellite Hyperion is locked in a 3:4 orbital resonance with Titan. How far is Saturn from Earth at aphelion? At Saturn's aphelion, it is about 10.1 AU from the Sun. Therefore, it would be anywhere between 9.1 and 11.1 AU from the Earth, depending on whether Earth is on the same side \u2026 of the Sun as Saturn, or on the opposite side. How far is Saturn from the Earth? The distance is always changing as both planets move around the Sun. The average is about 1.4 billion kilometers, or more than 8 times as far as Earth is from the Sun (8 AU). \u2026 At its closest, when both planets are on the same side of the Sun, Saturn is about 8 AU (1.2 billion km or 744 million miles) from us. This depends where the two planets are in their orbits! At their closest Saturn is around 1.2 billion km away from Earth (roughly 7 AU) and when they are at their most distant from each other, Saturn is approximately 1.67 billion km from Earth (around 11 AU). Saturn's distance is 1,010,000,000 miles (1,620,000,000 kilometers) from Earth. It took images of Titan, including Titan and Saturn together in mid to late 1979. The quality was soon surpassed by the two Voyagers. Titan was examined by both Voyager 1 and 2 in 1980 and 1981, respectively. Query: how far is saturn?\n", "labels": "The average distance from the Earth to the Saturn is about 1.4 billion kilometers.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-7fc4851eab9c47ccada8cd10dc859147"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: When you speak, sound waves created by your voice carry energy toward the microphone. Inside the microphone, the diaphragm moves back and forth when the sound waves hit it. The coil, attached to the diaphragm also moves back and forth. The permanent magnet produces a magnetic field that cuts through the coil. How Electret Microphones Work. With the diaphragm and the back plate ready to receive sound waves, they work by letting the incoming sound waves from a source of sound from any direction to change the capacitance between the two conducting plates. March 31, 2015. A carbon mic is a simple device to turn sound waves into an electronic signal. Carbon microphones were used in telephones, radio broadcast systems and many other devices through the 80s. microphone\u2019s directional sensitivity, which is how a microphone picks up sound from different directions. These are the three most common polar patterns: CARDIOID These patterns pick up the most sound from in front of the microphone and some from the sides They are less susceptible to feedback in loud environments. SUPERCARDIOID Or you could amplify (boost the size of) the current and then feed it into a loudspeaker, turning the electricity back into much louder sound. That's how PA (personal address) systems, electric guitar amplifiers, and rock concert amplifiers work. If you are having problems with getting your microphone to work, make sure it is compatible with Windows 7 and that you download all necessary drivers for your microphone prior to use. References (1) HP: Resolving Microphone and Line-in Problems (Windows 7) However the acoustic transparency, particularly at HF, should also be indicated, since a very high level of wind attenuation could be associated with very muffled audio. 1  Various microphone covers. 2  Two recordings being made\u2014a blimp is being used on the left.  3 Dead cat and a dead kitten windscreens. Phillip Corcoran. 1  Probably because your laptop has a combo single jack that performs both tasks (mic & earphones), whereas your PC has separate jacks for mic and earphones, but headset only has a single (combo jack-plug. In a microphone, there are almost identical parts but they work in exactly the reverse way. How microphones work How does a microphone turn sound energy into electrical energy? A: A wireless microphone works by using a wireless transmitter, which is incorporated into the microphone or attached to a body pack transmitter. The battery-operated wireless transmitter includes an antenna for broadcasting sounds. Query: how does a microphone work\n", "labels": "A wireless microphone works by using a wireless transmitter, which is incorporated into the microphone or attached to a body pack transmitter. The battery-operated wireless transmitter includes an antenna for broadcasting sounds.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-df8678201126470280ad953fd2a56871"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: If none of these types of child fevers fit your current situation, then you probably don\u2019t need to call your doctor. 1  If your infant is 6 weeks or younger, and has a fever of 101 degrees or higher, this is considered a medical emergency. Your doctor should evaluate your infant right away, either during business hours or in an emergency room after hours. Do not give any fever-reducing medications in this situation (you don\u2019t want to hide the fever until after a doctor has evaluated your baby). When a Fever is Most Likely Not Serious. 1  Remember, fevers are your body\u2019s natural response to infection, and not necessarily a sign that something serious is taking place. 2  Low-grade child fevers are generally not serious, are easily treated and can wait until the morning to be evaluated by your doctor. Fevers of 101 to 103 degrees (38.4 to 39.5 Celsius) are also generally not serious and can wait until morning to be evaluated. When Not to Worry About Child Fevers. 1  Remember, fevers are your body\u2019s natural response to infection, and not necessarily a sign that something serious is taking place. 2  Low-grade fevers are generally not serious, are easily treated and can wait until the morning to be evaluated by your doctor. If your child of any age has one or more of the following symptoms, you should probably call your doctor right away: Fevers of 104 (40 Celsius) or higher that don\u2019t come down to 101 or 102 (38.3 to 38.9 Celsius) with the treatment measures below. Top 3 Causes of Fevers. If your child has a fever the chances are good one of the following conditions caused it: This is the most common cause of fever in children. Examples are: roseola, colds, flu, coxsackie (hand, foot and mouth disease), chicken pox, fifth disease, along with many others. You should take children older than 3 months to the emergency room (ER) for a fever if the fever is more than 104 degrees for a long period of time. Ice them down first and then bring them to the ER. No. Many parents have a misconception that fevers are a bad thing and a sign that there is some serious underlying illness. This simply is not true. Child fevers are a normal and healthy response of the body to an illness. The body\u2019s immune system releases chemicals that raise the body temperature. If your child has a fever, it is usually a good idea to call your pediatrician before heading to the emergency room (ER). If your pediatrician is unavailable, consider the guidelines below. If your baby is younger than three months old and the temperature is over 100.4, visit the ER. If none of these types of child fevers fit your current situation, then you probably don\u2019t need to call your doctor. If your infant is 6 weeks or younger, and has a fever of 101 degrees or higher, this is considered a medical emergency. If your child has a fever, it is best to call your pediatrician first before heading to the emergency room (ER). However, if your pediatrician is unavailable, and your child (age 3 or older) has had a temperature over 102 degrees for two or more days, you should seek emergency care. You should also head to the ER if the fever is accompanied by any of these symptoms: abdominal pain. difficulty breathing or swallowing. Query: at what temp should i take my baby to er\n", "labels": "You should take children older than 3 months to the emergency room at a temperature of 104 degrees.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e25e65f52c7f441eab4f242a410a3716"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: There are various places you can go to for an HIV test, including: 1  sexual health or genitourinary medicine (GUM) clinics. 2  clinics run by charities like the Terrence Higgins Trust. 3  some GP surgeries. 4  some contraception and young people's clinics. 5  local drug dependency services. 6  an antenatal clinic, if you're pregnant. By six months after infection, most people will turn positive on an antibody test. Because of this, antibody testing isn't appropriate for people who are worried they may have been very recently exposed to HIV or herpes. If this is the case, talk to your doctor about what type of testing may be right for you. The human immunodeficiency virus -- HIV -- causes acquired immunodeficiency syndrome, or AIDS. You can be infected with HIV for many years and show few if any symptoms before the development of AIDS. However, people who are HIV-infected can transmit the virus to other people. Authors of a study published in 2005 in the Journal of Infectious Disease reported that the highest rate of HIV transmission occurs when an individual is newly infected but does not test positive for HIV. If your first test is done in a testing lab and it\u2019s positive, the lab will conduct the follow-up testing, usually on the same blood sample as the first test. Talk to your health care provider to see what type of HIV test is right for you. If you test negative on an HIV RNA test after two weeks of possibly being exposed, you are very likely HIV-negative. If you test negative on a 4th generation rapid test or lab assay that detects HIV antigens (part of the HIV virus) in addition to antibodies after three or four weeks after possibly being infected, you are very likely HIV-negative. And if you test negative on an antibody test taken 3 months or longer after your last possible risk of possible exposure to HIV, you are likely HIV-negative. The person who gives you your HIV test will have additional information about the test's window period.. For this reason, we recommend that people who are having sex get tested routinely every 3 months. Routine testing is painless and ensures that if you do get infected, you can start treatment right away. If a person has been exposed to HIV, there is a period by which an HIV test cannot deliver an accurate response known as the window period. If a person has been exposed to HIV, there is a period by which an HIV test cannot deliver an accurate response known as the window period. How long do HIV test results take? How are they reported? How long do results take? Rapid HIV tests can give results in 15\u201460 minutes, or on the same day. \u2018Rapid\u2019 refers for the time taken for the results and not the time since exposure that a test can be used. If samples are being sent to another lab, results can take a few days or a few weeks. Rapid blood tests put a pin-prick of blood on a testing strip. This test takes about 15-20 minutes so you can get the results whilst you wait. Some rapid tests also work on oral samples rather than blood. Although they are sometimes called saliva tests this is not accurate. 20-45 days after infection, HIV antibodies can be detected by this type of test RNA tests \u2013 show a positive result based on the presence of the virus. These tests are more expensive than antibody tests, so are not offered in as many places. An HIV test can show infection in most people within 3 months (average of 25 days to build HIV antibodies). A 3 month negative test may be repeated at the 6 month point to pick up on the rare situations in >. ... ...risky behavior and that you were not exposed to any HIV-infected fluids. The only way to know for sure whether you have been infected is to get tested. You should wait for 3 months after a possible exposure. Then get an HIVblood test (see Fact Sheet 102 ). You might feel that you have been exposed toHIV by sharing needles, an accident, or unsafe sexual activity. In these cases, talk to your health care provider immediately . Query: how long does it take hiv to show in blood test\n", "labels": "It takes three or four weeks hiv to show in blood test.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-75e4b2cb283a4a1eae3391f89e23b7ba"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Things You Should Know About...LEMON LAW. Has this ever happened to you...You buy a brand new car. But instead of hitting the open road in your new dream machine, the vehicle is spending all of its time and your money at your local auto repair shop. If so, Illinois' Lemon Law may be able to help. Is My Vehicle a Lemon? In order to be covered by the Illinois Lemon Law, a vehicle must: have a nonconformity that both substantially impairs the use , market value or safety of the vehicle and is not repairable by the dealer or manufacturer in at least four attempts for the same repair, or. be out of service for a total of 30 or more business days. Hopefully you never have to read our Lemon Law guide (because it probably means your shiny new car has gone sour). But if you do, we've cut through the legalese in your state's statutes to educate you about your rights under the law\u2015in language anyone can understand. Most states' Lemon Laws are spelled out in their legal code. Michigan's Auto Lemon Law The law applies to privately owned passenger vehicles and those leased after January 1, 2000, used for personal, family or household purposes. Some business-type vehicles may also be covered. The law does not apply to larger trucks, motor homes, motorcycles, or off-road vehicles. Use our state Lemon Law guides to find out how to keep good records, notify the manufacturer that the vehicle is flawed, file a Lemon Law complaint, and receive restitution. We'll tell you exactly what your state's laws say regarding what qualifies as a lemon, how long you have to file a claim, and what the burden of proof is. Since we will never charge you for anything, the best part is that working with The Lemon Law Attorneys will cost much less than if you handled the case on your own. You\u2019ll have no wasted time and effort running around trying to find the right person to manage your case and then trying to figure out what you need to file the claim. How The Florida Lemon Law Works. The Lemon Law covers defects or conditions that substantially impair the use, value or safety of a new or demonstrator vehicle (these are called nonconformities). These defects must be first reported to the manufacturer or its authorized service agent (usually, this is the dealer) during the Lemon Law Rights Period, which is the first 24 months after the date of delivery of the motor vehicle to the consumer. The Act extends to the purchase of consumer products, including motor vehicles and appliances. The Act also provides that the warranter may be obligated to pay the prevailing party's attorney in a successful lawsuit, as do most state lemon laws. A consumer may pursue relief under both a state lemon law and the Magnuson-Moss Warranty Act. Lemon Law Easy as 1 \u2013 2 \u2013 3. 1 \u2013 Tell us your problems. Call us at 1-877-57-LEMON or complete the free case review form. 2 \u2013 We evaluate your case for free. Our Lemon Law lawyers will evaluate your case and discuss the best way to resolve it quickly. 3 \u2013 Compensation. If You Need to File a Lemon Law Complaint. Check the information on the Texas Lemon Law that came with your vehicle. This website will provide you with further information on your rights under the law and the complaint process and eligibility. Consult with legal counsel, if necessary. Dispute Resolution What to do if You Buy a Lemon. 1  Report the problem within 18 months of ORIGINAL purchase or before 18,000 ORIGINAL miles, whichever comes first. 2  Take your vehicle to an authorized dealer for repair. 3  Allow a dealer a reasonable number of attempts to repair. Query: how does the lemon law work\n", "labels": "The Lemon Law covers defects or conditions that substantially impair the use, value or safety of a new or demonstrator vehicle. These defects must be first reported to the manufacturer or its authorized service agent during the Lemon Law Rights Period, which is the first 24 months after the date of delivery of the motor vehicle to the consumer.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-bb058eac4d214a9f975b87028382ae86"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Cover the top of the container with a plate in case there is an explosion. This will help contain a potential mess inside the container and also act to insulate the container and boil the water faster. Microwave the egg for 1 minute for soft boiled. If you prefer hard boiled eggs try 1 minute 20 seconds. Unfortunately, this is going to take a lot of experimenting to get right. Let the egg rest to finish the cooking process. From Fine Cooking\u2019s Test Kitchen: Watch our How to Boil an Egg video to see an expert turn out soft-, medium-, and hard-cooked eggs without overcooking them. Soft boiled: 2 minutes The white is solid, but the yolk is still runny. Serve in an egg cup for breakfast. Use the side of a small spoon to crack and remove the pointed end of the egg, making a hole in the shell large enough to fit the spoon. Or use egg scissors, if you have them. Intermediate. 1  How to bone lamb shoulder. 2  How to cook glazed ham. 3  How to joint a rabbit. 4  How to roast chicken. 5  How to poach an egg. 6  Spatchcocking chicken and poultry. Serving Soft-Boiled Eggs. Soft-boiled eggs are their own little breakfast package. Nestle your egg in an egg cup, and then use the edge of a knife to gently tap the egg all the way around the top. If you have an egg-cutter, you can use that, too. Pull off the top and dig in. Directions. 1  1. If serving eggs cold, add 1 tray of ice cubes to a large bowl and fill with water. 2  2. Add 1 inch of water to a large pot. Place steamer insert inside, cover, and bring to a boil over high heat. 3  3. Serve immediately if serving hot. 3 minutes for very runny soft-boiled eggs with just-set whites ; 4 minutes for runny soft-boiled eggs ; 6 minutes for creamy, custard-y \u201cmedium\u201d-boiled eggs ; 8 minutes for firm (but still creamy) hard-boiled eggs ; 10 minutes for firm hard-boiled eggs ; 12 minutes for very firm hard-boiled eggs The times start after the water has come to a boil and you\u2019ve turned off the heat. 1  2 minutes \u2013 The white isn\u2019t fully set and the yolk is totally raw. 2  4 minutes \u2013 The white is fully set, but the yolk is thick and runny. 3  6 minutes \u2013 The white is fully set, and the yolk is mostly set, but still a little runny in the middle. Following poached eggs, hard and soft boiled eggs also take some skill and patience to perfect. But making them in the microwave gives you control over time and power levels, something that is tricky to master on a stove. The only problem with this method is the potential for an egg explosion. See the caution note at the top of this page. Some suggest to remove the saucepan with the eggs from the heat once the water starts boiling and to let them sit for about 15 minutes. I even found one recipe where the author was recommending to bake the eggs in the oven for 30 minutes. That\u2019s a lot of time for me. You can cook a whole meal for that amount of time. It\u2019s not that you should let all your eggs expire before you eat them (in fact, please don\u2019t), but you might want to wait a week or two before you boil eggs you picked up from your backyard chickens, local co-op or farmers market. Query: how long do you boil soft boil eggs\n", "labels": "You boil soft boil eggs for 1 minute in Microwave.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-115b66b055da4b9c92a91ffa34944201"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: 1 Upload failed. 2  We are experiencing some problems, please try again. 3  You can only upload files of type PNG, JPG or JPEG. 4  You can only upload files of type 3GP, 3GPP, MP4, MOV, AVI, MPG, MPEG or RM. 5  You can only upload photos smaller than 5 MB. 6  You can only upload videos smaller than 600 MB. As a planet rotates around its axis, the stars appear to move around a projection of the planet's axis into space. The time required for the stars to move once around their paths is called the sidereal period of rotation, or the rotation period of the planet. While the planet rotates, it is also moving around the Sun. How long does it take for each planet to rotate on its axis? mercury : 59 days venus: 243 days earth: 24 hours mars: 24.3 hours jupiter: 9.8 hours saturn: 10.2 hours uranus: 17.14 hours neptune: 16 hours 1 day. When we come to Uranus, the question of how long a day is becomes a bit complicated. One the one hand, the planet has a sidereal rotation period of 17 hours 14 minutes and 24 seconds, which is the equivalent of 0.71833 Earth days. So you could say a day on Uranus lasts almost as long as a day on Earth. It would be true, were it not for the extreme axial tilt this gas/ice giant has going on. A tidally locked body like the Moon of course does rotate; it just rotates at the same rate as its revolution around the primary. Tidal locking occurs because the mass of the Moon is not uniformly distributed; the Earth's gravity acts unevenly on it, so it falls into a locked configuration. Best Answer: This site has a table that lists all planets and their rotation times as well as other info.... http://www.astronomynotes.com/tables/tab... Rotation is ... How long does take for the moon to rotate on its axis? The moon has an axis, and as the moon orbits the Earth, it keeps the same face toward the earth. So the moon rotates on its axis the same length of time it takes to rotate the \u2026 earth -28 days. Collisions of rocky planetesmals in the inner part of the protoplanet disk. What event defined the formation of the sun in our solar system. The beginning of nuclear fusion in the suns core releasing large amounts of energy. In short, our planet takes 365.2564 solar days to complete a single orbit of the Sun, which is why we add an extra day to the calendar every four years (i.e. a Leap Year, which 2016 happens to be). But because our axis is tilted, there is considerable variation in the seasons during the course of a year. Observers on Earth might notice that the moon essentially keeps the same side facing our planet as it passes through its orbit. This may lead to the question, does the moon rotate? The answer is yes, though it may seem contrary to what our eyes observe. The 'dark' side of the moon. The moon orbits the Earth once every 27.322 days. It also takes approximately 27 days for the moon to rotate once on its axis. As a result, the moon does not seem to be spinning but appears to observers from Earth to be keeping almost perfectly still. Scientists call this sychronous rotation. Query: how long does it take for each planet to rotate on their axis\n", "labels": "Mercury takes 59 days,Venus takes 243 days, Earth takes 24 hours, Mars takes 24.3 hours,Jupiter takes 9.8 hours, Saturn takes 10.2 hours,Uranus takes 17.14 hours,Neptune takes 16 hours 1 day to rotate on their axis.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-6295bc8bddca4ef5a1187ccd1f94a632"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Definition - What does Astroturfing mean? Astroturfing is the practice of using deceptive communications to make a corporate or political message appear natural and organic, as if it comes from a very distributed group of individuals or naturally emerging social movements. Jack Abramoff may have played the influence-peddling game to an extreme by engaging in outright bribery, but most of what he did--arranging for and hosting fundraisers, underwriting foreign travel junkets, picking up the tab at his restaurant and extending invitations to his skybox, offering lobbying jobs to Congressional staff, laundering money through a charity to pay lobbyists, setting up Astroturf lobbying operations and employing politicians' spouses--are routine tools of the trade in ... Define astroturfing: organized activity that is intended to create a false impression of a widespread, spontaneously\u2026 \u2014 astroturfing in a sentence organized activity that is intended to create a false impression of a widespread, spontaneously arising, grassroots movement in support of or in \u2026 See the full definition Definition of astroturfing. astroturfing. noun - uncountable. the use of paid employees or contractors - or people who otherwise have a stake - to astroturf. See more words with the same meaning: computer slang. Creating the illusion of widespread support for a policy used to take place in papers \u2013 now it's online and even more powerful. Astroturfing is the attempt to create an impression of widespread support where little exists. Photograph: AP C laims that a pro-Kremlin group funded a vast network of online activists to create the illusion of widespread support for Vladimir Putin may seem like a bizarre tale restricted to an authoritarian state. In college, their hands are held by coaches and their world revolves around the Astroturf playing fields and the weight room. Astroturfing definition: a PR tactic used in politics and advertising in which actors are paid to display overt... | Meaning, pronunciation, translations and examples English Dictionary | Thesaurus | Translator | Grammar | Scrabble | Blog The authors argued that astroturfing that is purposefully designed to fulfill corporate agendas, manipulate public opinion and harm scientific research represents a serious lapse in ethical conduct. From Astroturfing is the practice of masking the sponsors of a message or organization to make it appear as though it originates from and is supported by a grassroots participant. It is a practice intended to give the statements or organizations credibility by withholding information about the source's financial connection. The term astroturfing is derived from AstroTurf, a brand of synthetic carpeting designed to resemble natural grass, as a play on the word grassroots. The implication behind the astroturfing (astroturf marketing) Share this item with your network: Astroturfing is the artificial creation of a grassroots buzz for a product, service or political viewpoint. Commercially-motivated astroturfing is called astroturf marketing.. Query: astroturfing meaning\n", "labels": "Astroturfing is the practice of masking the sponsors of a message or organization to make it appear as though it originates from and is supported by a grassroots participant.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-f8c0785baa8c4a6e9b7a01d8c5a809ba"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Derek Jeter Stats. Derek Jeter was born on Wednesday, June 26, 1974, in Pequannock, New Jersey. Jeter was 20 years old when he broke into the big leagues on May 29, 1995, with the New York Yankees. Here are 20 things you might not know about Derek Jeter as he winds down his 20-year Hall of Fame career. Here are 20 things you might not know about Derek Jeter as he winds down his 20-year Hall of Fame career. Derek Jeter roster status changed by New York Yankees. July 28, 2013: New York Yankees activated SS Derek Jeter from the 15-day disabled list. July 19, 2013: New York Yankees placed SS Derek Jeter on the 15-day disabled list retroactive to July 12, 2013. Right quad strain. July 11, 2013 Derek Jeter roster status changed by New York Yankees. July 4, 2011: New York Yankees activated SS Derek Jeter from the 15-day disabled list. July 2, 2011: sent SS Derek Jeter on a rehab assignment to Trenton Thunder. June 14, 2011: New York Yankees placed SS Derek Jeter on the 15-day disabled list. Strained right calf: December 7, 2010 After Yankee career, Derek Jeter still has it going on off field \u201cHe said something to me at the end of his career \u2014 he wanted to have a better business career than he had a baseball career, which is a high bar,\u201d Tull said in 2016. \u201cIf I was going to bet on anybody, it\u2019s Derek Jeter.\u201d But when you have that reinforcement at home, I think it goes a long way. Derek Jeter said his name was in the program once as No. 17, but he quickly asked for it to be fixed. Joe Faraoni/ESPN Images. Ravech: Your dad is a substance-abuse counselor. Your mom is an accountant. In 2009 Jeter recorded his 2,674th career hit, breaking the record for the most hits by a shortstop in major league history. The Yankees ended the 2009 season with a victory over the Philadelphia Phillies in the World Series. On July 9, 2011, Jeter registered his 3,000th career hit, becoming just the 28th player to reach that mark. Derek Jeter baseball card, 2006. All-Time Greats: Stan Musial, Barry Bonds, Babe Ruth, Derek Jeter, Ken Griffey Jr, Jackie Robinson, Hank Aaron, ... Derek Jeter. By the time he stepped away from baseball in 2014 after a historic 20-year career with the New York Yankees, Derek Jeter had established himself as one of the most respected men to ever have played the game. After his senior season at Kalamazoo (Mich.) Central High School, Derek Jeter was chosen as the American Family Insurance All-USA TODAY player of the year by USA TODAY Sports. Follow Jeter's career from high school to the majors as told by those who helped him get there. Query: how long was derek jeter's career\n", "labels": "The career of Derek Jeter was 20 years long.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-2230a923321a43739464d33e04a5ecec"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: 1. Re: transportation from lax to manhattan beach just for a day. 14 May 2013, 15:14. Taxi would be around $20 each way to the pier in Manhattan Beach, maybe a few dollars less. Alternative is to head to one of the hotels on Century Blvd. Manhattan Beach is ideally located.. less then 4 miles from the airport but no airport noise. One of the reasons for the popularity of Manhattan Beach is that it is close to the LAX and to the Westside financial center in Century City and just 35 minutes from downtown Los Angeles. For more information see the link below. Driving distance from LAX to Manhattan Beach, CA. The total driving distance from LAX to Manhattan Beach, CA is 5 miles or 8 kilometers. Your trip begins at Los Angeles International Airport in Los Angeles, California. It ends in Manhattan Beach, California. If you are planning a road trip, you might also want to calculate the total driving time from LAX to Manhattan Beach, CA so you can see when you'll arrive at your destination. Then it might be 15. It is a great place to live for road warriors because they can get to the airport quickly but not have airport noise AND have great schools and beach proximity. This is part of the reason Manhattan Beach real estate is higher priced than Hermosa Beach or Redondo Beach. For more information, see our page below: 4. Re: transportation from lax to manhattan beach just for a day. 15 May 2013, 21:16. It's my understanding that the Hotels on Century Blvd. provide the Ocean Express Shuttles (there are not the 2 trolleys anymore) for their guests, to provide a place to visit, shop or dine while staying at their hotels. Map of driving directions from LAX to Manhattan Beach, CA Click here to show map Drag the line on the map to calculate the driving distance for a different route. Driving distance from LAX to Manhattan Beach, CA The total driving distance from LAX to Manhattan Beach, CA is 5 miles or 8 kilometers. Your trip begins at Los Angeles International Airport in Los Angeles, California. Manhattan beach is about 5 minutes from the Los Angeles International Airport. You don\u00e2\u20ac\u2122t even need to get on the freeway to get there. Just go south on Sepulveda, pass El Segundo and you\u00e2\u20ac\u2122re there. The total driving distance from Manhattan Beach, CA to LAX is 6 miles or 10 kilometers. Your trip begins in Manhattan Beach, California. It ends at Los Angeles International Airport in Los Angeles, California. 3. Re: transportation from lax to manhattan beach just for a day. 14 May 2013, 16:23. I'm assuming that you won't have luggage as there is no provision for storing luggage at LAX. I'm not a big fan of the Trolley as it runs only once per hour and takes a complete hour to go to the beach and return from it. Query: how far is manhattan beach from lax airport\n", "labels": "The total driving distance from LAX to Manhattan Beach, California is 5 miles or 8 kilometers.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-3e08d2349741457cbb703fb2625c4cea"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Depending on whether fresh strawberries are stored cut or whole, they can last for different time periods. When stored in a refrigerator, whole strawberries can last up to 7 days, while cut ones will last up to 3 days. Stored in the freezer, whole or cut strawberries can last a few months. For example, the cut fruit can last up to 4 months in a freezer. When you're ready, wash each berry differently. Blueberries can take about any method, apart from a long soaking. Strawberries, with their delicate, absorbent skin, require a little more care: Quickly swish unwashed berries in a bowl of water, move them to a strainer, then move them to paper towels, placed in single layers and let them dry. Or brandy. But if you make sure that you keep the unbruised berries out of the Tupperware, the strawberries are as fresh by the end of the week as in the beginning. I haven't picked my own since I can get a flat for as cheap as 6 dollars during peak season. In fact, that's how I learned this tip. Once the strawberries are cut, air and moisture begin to cause the strawberries to deteriorate and you must store the strawberries in the refrigerator within two hours of cutting to slow bacterial growth. An airtight container or sealed plastic bag keeps cut strawberries fresh in the refrigerator for up to three days. Freezer Fresh Keep strawberries for longer by freezing them. Freeze whole strawberries in airtight storage containers or plastic freezer bag for up to eight months. Place cut strawberries in an airtight container or plastic freezer bag and sprinkle with granulated sugar -- about a 1/4 cup of sugar for every 1/2 quart of berries. Sweetened, cut strawberries remain fresh in the freezer for up to four months before quality begins to decline. Put the clean, dry berries back in the clamshell and store them in the fridge. Make sure to leave ventilation holes in the top uncovered so air can circulate in the package. Otherwise, store the berries in a clean container lined with paper towels, with the lid ajar so condensation can evaporate. Change the paper towels if they get damp over time. This is a really good case for some types of confect, but you can't do it with most types of filling (definitely not with strawberries). Cooling from the outside gives you a beautiful shine. If you want to achieve a good shine, it is possible to put the confects in the fridge for a short time, but only after they have cooled to 20\u00b0C at room temperature. Don't let them fall to fridge temperature, take them out at 15\u00b0C. The continued cooling from the outside is beneficial. This shouldn't happen. Chocolate covered strawberries can be kept in the refrigerator for several days when stored properly, though ideally, you\u2019ll want to enjoy them within 48 hours. Cover them in wax paper and store them in an airtight container so that the fruit won\u2019t go bad. There are a variety of ways to store strawberries, depending on whether you want to store them for a few days or a few months. If you want to know how to store strawberries, just follow these steps. Steps Slicing the strawberries for use ahead of time shortens their storage life, but packaging the sliced berries properly helps them retain both flavor and texture to use the following day. Store them plain for fresh use in your refrigerator or place them in a sugar pack so they make their own sauce for drizzling over ice cream or other desserts. Dip strawberries (you can insert a skewer into the stem and then dip) in chocolate and then tap gently to remove any excess. Transfer to the parchment paper. Sprinkle strawberries with sprinkles, nuts, coconut flakes or leave plain. Refrigerate chocolate covered strawberries for 10 minutes until chocolate hardens. Query: how long can you keep strawberries in the fridge\n", "labels": "When stored in a refrigerator, whole strawberries can last up to 7 days, while cut ones will last up to 3 days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-7ecde12aa0154133aef0ff78e79ab67f"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: A more pronounced tide, when high tides are very high and low tides are very low, is called a \u201cspring tide.\u201d These periods occur during the New Moon, when the Sun and Moon are lined up on the same side of the Earth, and the Full Moon, when the Moon and Sun are on opposite sides of the Earth. Together, the gravitational effects of the moon and the sun affect the Earth\u2019s tides on a monthly basis. Click the image to see an animation. The moon is a major influence on the Earth\u2019s tides, but the sun also generates considerable tidal forces. Solar tides are about half as large as lunar tides and are expressed as a variation of lunar tidal patterns, not as a separate set of tides. The Earth experiences two high tides per day because of the difference in the Moon's gravitational field at the Earth's surface and at its center. You could say that there is a high tide on the side nearest the Moon because the Moon pulls the water away from the Earth, and a high tide on the opposite side because the Moon pulls the Earth away from the water on the far side. The moon is the dominate tidal influence. The moon's tidal influence is about twice that of the sun. Remember, tides are due to a non-uniform gravitational field, squishing and squashing on a body in free motion within the gravitational field. The height of the tides is also affected by the position of the Moon in its orbit around the Earth. The Moon travels around the Earth once every 28 days. Depending on where it is on its journey, the difference between high and low tide may be more or less pronounced. Sun's Tidal Effect. Even though the Sun is 391 times as far away from the Earth as the Moon, its force on the Earth is about 175 times as large. Yet its tidal effect is smaller than that of the Moon because tides are caused by the difference in gravity field across the Earth. The Earth's diameter is such a small fraction of the Sun-Earth distance that the gravity field changes by only a factor of 1.00017 across the Earth. The elliptial orbits of the moon around the Earth and the Earth around the sun have substantial effects on the earth\u2019s tides. Click the image for a larger view. Just as the angles of the sun, moon and Earth affect tidal heights over the course of a lunar month, so do their distances to one another. The actual force differential across the Earth is 0.00017 x 174.5 = 0.03 times the Moon's force, compared to 0.068 difference across the Earth for the Moon's force. The actual tidal influence then is then 44% of that of the Moon. The Moon is the dominant tidal influence because the fractional difference in its force across the Earth is greater than the fractional difference seen from the Sun. This difference in force follows the inverse square law. Tides are the natural rise and fall that occurs in major bodies of water, such as the ocean or large lakes. Tides are caused by the gravitational relationship between the Moon and the Earth. The Moon\u2019s gravity pulls on the Earth, causing the water to swell in the direction of the Moon. The exact timing and number of high tides per day varies by location, and is affected by such factors as geography, the shape of the coastline, the salinity of the water, the time of year, and the weather, among other things. Query: how does the moon influence the tides\n", "labels": "The elliptial orbits of the moon around the Earth and the Earth around the sun have substantial effects on the earth\u2019s tides.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-933a7f68186c4a34ad44d4713305776a"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Buy chicken before this date for storage in your home refrigerator. Always cook or freeze the chicken within two days of bringing it home, regardless of what the package date tells you. Never store raw chicken in the refrigerator at home for longer than two days. Once you've cleared up what belongs where, the next step is knowing how long the food will last. Storing food is a delicate matter -- in the fridge, food might get moist and moldy, and in the freezer it could lose all its moisture or get freezer burn. If you leave food in the fridge or freezer too long, it could not only lose its integrity but it may also become unsafe to eat. FoodSafety.gov has two useful charts listing how long certain foods will stay good in both the refrigerator and the freezer. The first chart lists all kinds of commonly refrigerated foods and the second is specifically for eggs and food made with eggs. Chrissy Metz, star of <strong>This is Us</em>, appeared on <strong>Jimmy Kimmel Liv... 1  Chrissy Metz, star of This is Us, appeared on Jimmy Kimmel Live on Tuesday wearing a stylishly on-point outfit that people are dying to copy\u2014and it\u2019s possible to do so without breaking the bank. References. 1  Basics for handling food safely. U.S. Department of Agriculture. 2  Foodborne illness: What consumers need to know. U.S. Department of Agriculture. 3  Food safety counts! U.S. Department of Agriculture. 4  Dietary Guidelines for Americans, 2010. U.S. Department of Health and Human Services. 5  Slow cookers and food safety. Keep your refrigerator below 40 degrees Fahrenheit, and store raw chicken in the coldest part of the fridge, which is usually the back of the bottom shelf or in the meat drawer. Make sure to decrease the storage time if you can't guarantee that the temperature will stay under 40 degrees F. (Also) I feel like I\u2019m limited to what I can do with the chicken once its cooked. Thanks for your help, SS. Dear SS: According to Foodsafety.gov, whole, uncooked poultry (chicken or turkey) is safe in the refrigerator for 1-2 days and safe in the freezer for up to 12 months. Poultry pieces are safe in the refrigerator for 1-2 days and safe in the freezer for up to nine months. Cooked poultry is safe refrigerated for 3-4 days and in the freezer for 2-6 months. You can also freeze your cooked breaded chicken cutlets (Foodsafety.gov specifically lists nuggets and patties) for 1-3 months. How long can you keep chicken in the fridge? Raw chicken: You'll need to either cook or freeze it fast. According to recommendations from the U.S. Food and Drug Administration, raw chicken will only keep in the refrigerator for about 1-2 days. (Same goes for turkey and other poultry.) If you store it in the freezer in a sealed, freezer-safe container or vacuum-sealed package, it should stay safe to thaw and eat for up to 9 months, in pieces, or up to 12 months, for a whole chicken. Cooked chicken: You have a little more time, but not much. I have to say that I have kept chicken in the fridge for longer than 2 days and not died. Some even have best before dates 3-4 days in. The quality definitely suffers, and I'm sure there's some risk, but it's probably low. How long does raw chicken last after being frozen and thawed? Chicken that has been defrosted in the fridge can be kept for an additional 1 to 2 days in the refrigerator before cooking; chicken that was thawed in the microwave or in cold water should be cooked immediately. I didn't even realize it until the next day when I found the container with the fresh chicken and realized that there were two containers of it in the fridge because I'd forgotten to throw away the old chicken from the previous week. Query: how long is chicken good in the refrigerator\n", "labels": "According to Foodsafety.gov, whole, uncooked poultry (chicken or turkey) is safe in the refrigerator for 1-2 days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-8d64589916d9416d9eae3f8c814b2e66"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Often missed at time of initial injury. 15% of people with mild TBI have symptoms that last one year or more. Defined as the result of the forceful motion of the head or impact causing a brief change in mental status (confusion, disorientation or loss of memory) or loss of consciousness for less than 30 minutes. Some symptoms last for just seconds; others may linger. Concussions are fairly common. Some estimates say a mild brain trauma is sustained every 21 seconds in the U.S. But it's important to recognize the signs of a concussion so you can take the proper steps to treat the injury. There are some common physical, mental, and emotional symptoms a person may display following a concussion. Mild TBI Symptoms A traumatic brain injury (TBI) can be classified as mild if loss of consciousness and/or confusion and disorientation is shorter than 30 minutes. While MRI and CAT scans are often normal, the individual has cognitive problems such as headache, difficulty thinking, memory problems, attention deficits, mood swings and frustration. Other Symptoms Associated with Mild TBI. 1  Nausea. 2  Loss of smell. 3  Sensitivity to light and sounds. 4  Mood changes. 5  Getting lost or confused. 6  Slowness in thinking. These injuries are commonly overlooked. Even though this type of TBI is called \u201cmild\u201d, the effect on the family and the injured person can be devastating. Other Names For Mild TBI. Concussion; Minor head trauma; Minor TBI; Minor brain injury; Minor head injury; Mild Traumatic Brain Injury is: Most prevalent TBI; Often missed at time of initial injury The most common and least serious type of traumatic brain injury is called a concussion. The word comes from the Latin concutere, which means to shake violently. According to the CDC, between 2001 and 2009, an estimated 173,285 people under age 19 were treated in hospital emergency rooms for concussions related to sports and recreation activities. Most prevalent TBI. 1  Often missed at time of initial injury. 2  15% of people with mild TBI have symptoms that last one year or more. 3  Defined as the result of the forceful motion of the head or impact causing a brief change in mental status (confusion, disorientation or loss of memory) or loss of consciousness for less than 30 minutes. Long-term impacts. 1  First, brain injury is a relatively new area of treatment and research. We have only begun to understand the long-term effects in patients one, five, and ten years after injury. In a grade 1 concussion, symptoms last for less than 15 minutes. There is no loss of consciousness. With a grade 2 concussion, there is no loss of consciousness but symptoms last longer than 15 minutes. Other Names For Mild TBI. Concussion; Minor head trauma; Minor TBI; Minor brain injury; Minor head injury; Mild Traumatic Brain Injury is: Most prevalent TBI; Often missed at time of initial injury; 15% of people with mild TBI have symptoms that last one year or more. Query: how long does mild tbi last\n", "labels": "People with mild TBI have symptoms that last one year or more.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-581166e520ab43b5ac318e6239706fb9"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Examples include: 1  Cracked or broken headlights or tail lights. 2  Dark window tints. 3  Other illegal modifications (like certain modified exhausts) 4  Inability to provide proof of insurance (when you are, in fact, insured) If you fight the traffic ticket in court and win, the ticket will not go on your driving record and will not affect your insurance rate. If you lose the case, you will have the ticket on your record. It may be worth while to look into fighting the ticket or pleading guilty with an explanation, in which case you may see a reduction in fine. In conclusion: Speeding tickets may affect the cost of your car insurance. Insurers may check driving records, and they may consider drivers with speeding tickets a greater insurance risk. That can increase premiums for drivers even if they haven't made a claim. So even if the violation appears on your driving record, it won't impact your total points. For example, Ohio doesn't add a point to your driving record after you're convicted of speeding less than 5 mph above the posted limit. Even if a violation adds zero points, it can still be included in your driving record. Some common examples of minor moving violations: 1  Seat belt violations. 2  Improper turns. 3  Disobeying traffic lights and signals. 4  Speeding tickets (when the speed was not significantly higher than the posted limit) 5  Illegal U-turns. Tickets normally can stay on a Virginia driving record from three years to 11 years, however if you are convicted of a serious violation it will remain on your MVR permanently. So the length of time that a conviction stays on your VA driving record depends on the severity of the violation. Posted on March 25, 2012January 27, 2012 by. A traffic violation will undoubtedly negatively affect your driving record, but it doesn\u2019t mean that you will be blacklisted by insurance companies for your entire life just for a speeding ticket you received when you were sixteen. Thus, a speeding ticket for going 10 miles over the speed limit will affect a 17-year-old much more than it will an established driver with a clean record who\u2019s 60. Note that traffic violation tickets will typically stay on your record for three years from the date that you\u2019re convicted, and not from the date that you received the ticket. Major Tickets. Major tickets are those that include high-speed driving tickets, such as 50 miles or more over the limit, or driving without insurance. One major ticket can cause a significant increase in your insurance premium, usually for the next two to five years. How to Get a Copy of Your Driving Record. 1  Check for online access. Once you find the appropriate agency responsible for drivers licenses and driving records, visit the agency website and determine if you can request a copy of your driving record online. Some DMV or DOL agencies offer this capability to licensed drivers. If you drive violation-free and without accidents for a certain number of years, your state may deduct points from your driving record. Check with your DMV to find out whether this option exists. Waiting it out. Query: how long do tickets and accidents affect your driving record\n", "labels": "Tickets normally can stay on a Virginia driving record from three years to 11 years.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-988d14ecaa544246a7fbaea5a7812cac"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Year 3.5: Refinish Tub By Myself Even though patching is a viable option, I decide to refinish the entire tub. I use a do-it-yourself kit to refinish the bathtub by myself over a weekend. Before and after surface restoration by Miracle Method. Professional bathtub resurfacing, countertop resufacing and bathroom tile and tub refinishing by Miracle Method is a proven restoration process that can add fifteen to twenty years of life to a bathtub. Before and after surface restoration by Miracle Method. Thanks, Laurie! We used a special tile refinishing kit from Lowe\u2019s. {There\u2019s only one kind that they carry.} We found it in the tub and tile section. =) So I decided not to have them do my tub, even though it is a bit uneven looking after 50-100 years of use. They offer a bunch of colors, and one of them matched my tub and vanity pretty well (Miracle Method Kohler White), so it was an easy choice. Some niggles. While they did an excellent job masking everything, there were some cases of overspray. This paint? goo? gunk?\u2026whatever it is \u2026 is very interesting. It is self-leveling, so if you put on thin coats as directed it self-levels as it dries. It\u2019s kind of like liquid rubber until it dries\u2026and then it is like tile! ha! A miracle method, for sure! {It\u2019s actually an epoxy.} Here\u2019s our ugly green tile before\u2026. My bathtub has been refinished before. This is not a problem. At least 20% of the bathtubs that I do are from other companies failed work or from companies that have gone out of business. Heiden Bathtub Refinishing will completely remove the old finish and start the refinishing process as if the tub had never been refinished before. What's New - The coating that scored the highest in overall performance November 2016. I have completed a 6 year evaluation of Zirlon Glaze and I feel that this coating has the potential for changing the tub and tile refinishing industry for several reasons. \u2605 Reviews On Miracle Method Tub Refinishing \u2605 Risk At 40 And Pregnant Miracle Method Reviews Reviews On Miracle Method Tub Refinishing Pregnancy After Miscarriage Risk At 40 And Pregnant By another trimester, the hormone changes will be stable along with the pregnant woman has adjusted herself just of the changes that her body heading to be through. ugly bathroom cultured marble sink shower bathtub mirrors- all of the cultured marble can be transformed to a beautiful stone look in 48 hrs by Miracle Method- and notice the stains on that tub- refinishing is the answer. It\u2019s like a miracle method\u2026.this wonderful tile refinishing kit that can be found HERE. It like magic! Since we purchased our cottage\u2026the dark, forest green tile in the master bath has been the bane of the bathroom\u2019s existence! Plan A is to rip it out and put a claw foot tub in this neat little \u2018cubby\u2019 in the master bath. Query: how long to wait after tub refinishing miracle method\n", "labels": "A tub refinishing by Miracle Method is a proven restoration process that can add fifteen to twenty years of life to a bathtub.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-69aebfa60edd479b8cfb929c78343a3f"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Uranus\u2019 rings weren\u2019t discovered until 1977, because they are made out of material that is extremely dark. Half way through Uranus\u2019 orbit (every 42 years), the angle between Uranus and Earth lines up in such a way so as to allow us to see Uranus\u2019 rings edge-on from Earth. Figure 1: This infrared image of the dark side of the rings was taken by the Keck Observatory in 2007. Uranus rotates once every 17 hours 14 minutes and 24 seconds = 62 064 seconds = one Uranus day. One year on Earth is 365.25 days = 31 557 600 seconds. One Earth Year/(One Uran \u2026 us day)=508.5 It takes 508.5 Uranus days for the Earth to go around the Sun once. Since a year on Uranus, one rotation around the Sun, is 84.3 Earth years the Uranus year has (84.3*508.5) 42 866 Uranus days! Earth years for uranus to complete its orbit this is one 'year'. 718 the length of our day, or 17 hrs 13 mins 55. Voyager 2 is a space probe launched by nasa on august 20, 1977, to study the outer planets. Because of this, mercury's day from sunrise to sunset is 176 earth days long. How long is one day in uranus planet answers. Venus' day is the equivalent of 243 earth days, while it's year 225 days 23 jan 2016 since it takes 58. During parts of its orbit one or other the poles directly face sun which means planet gets uranus&#8212that is almost twenty times as long it takes sunlight to reach earth!. An orbit by Uranus takes 30,800 Earth days (84.3 Earth years, each having 365.25 Earth days). However, a day on Uranus is only 17.24 hours long, so a Uranus year consists of 42,877 Uranian days. *Conflicting figures will result from application of non-Julian years for Earth, or the synodic period of Uranus's orbit, which is 369.66 Earth days. The name Uranus was finally agreed on by everybody in the mid 1800\u2019s. How long are its years and days? Since Uranus is so far away from the Sun, it takes it a very long to to go around the Sun once. A year on Uranus, the amount of time it takes for this trip, is 84 Earth years. A day on Uranus, which is the amount of time it takes for the plant to spin around, or rotate once, is shorter than one day on Earth. The blue-green planet spins around once in a little over seventeen hours. A day on 16 mar 2015 titania, an airless moon of uranus, is cold and its 84 years long. Interestingly the length of a day on mercury is 58 days and 15 hours in earth time. System, one would expect that a day on jupiter last long time. A planet's day is the time it takes the planet to rotate or spin once on its axis. Uranus rotates faster than Earth so a day on Uranus is shorter than a day on Earth. A day on Uranus is 17.24 Earth hours while a day on Earth is 23.934 hours. However, Uranus spins backwards compared to Earth and most of the other planets. Remember that Uranus\u2019 \u2018year\u2019 is 84 years long - imagine having 42 years of your life spent in sunlight, and the other half in the dark! The sideways tilt of Uranus also creates interesting weather and cloud patterns that astronomers are interested in studying. While earth takes 365 days to make one circuit, the closest planet, mercury, only venus and uranus both rotate clockwise, all other planets day on mercury is same as 59 earth, year an 23 hours 56 minutes long it. Query: how long is a year on uranus in days\n", "labels": "Uranus \u2018year\u2019 is 84 years long.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-1fe271c2777a4c36a9ea3509b9d61ba8"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: If you agree with all the terms of the divorce as listed in the petition, you do not need to respond. If you want to challenge the terms listed in the petition, you must file a written answer \u2014called a \u201cresponse\u201d \u2014 with the court within 30 days after you were handed the papers. The court can allow you to file a divorce without paying any fee at all, or allow you to file by paying only part of the filing fee. If you hire an attorney, you will also have to pay the attorney. You will need to check with the attorney about that attorney's fees. How long does it take to get a divorce? Once a divorce is filed, you have to wait 60 days before the court can finalize the divorce. The court can issue temporary orders as soon as the divorce is filed, but the actual divorce and final orders cannot be done until 60 days have passed since the date the divorce was filed. In addition, the divorce must be filed in a county in which one of you live. It is possible for you to obtain a legal separation in Oregon prior to obtaining six months residency and then convert that to a divorce once you have lived in Oregon for at least six months. What do I need to do to start a divorce? If you or your spouse have lived in Oregon for six months or longer, you need to do three things to start your divorce: You must file several documents, including a petition for dissolution of marriage, with the circuit court clerk\u2019s office at the local county courthouse. Court timelines can affect how long it takes to get the final divorce judgment and many courts require divorce cases to be resolved within one year of filing the petition. Can I take back my former name? Do the husband and wife both have to live in Indiana to get a divorce here? Either you or your spouse must be a resident of Indiana for six months before you file for divorce, and be a resident of the county in which you are filing for three months before you can file for divorce. How much does it cost to get a divorce? Mission Statement. 1  Indiana Legal Services uses the law to fight poverty, empower clients, and improve access to justice. 2  Please consider donating to Indiana Legal Services. We are a not-for-profit corporation, and your donations are tax deductible to the extent allowable by law. A divorce judgment will decide: 1  The date your marriage ends; 2  Who gets custody of your children and when you and the other parent see them; 3  Who pays child support and how much; 4  Who will pay health insurance and medical bills for the children; 5  Who should pay past debts; How long does it take to get a divorce? The length of time it will take you to get a divorce depends mostly on the complexity of your case. If you are filing for temporary orders, such as custody and child support, or if you and your spouse dispute the issues in the divorce, you may need to have court hearings. Details: You must wait 6 months +1 day after the date your spouse was served with divorce papers to finalize your divorce. Colorado. 90-120 days. Details: You must wait 90 days from the date the divorce was filed or the date your spouse was served, whichever comes later, to finalize your divorce. Query: how long does it take to get a divorce after you file paperwork and pay\n", "labels": "It takes 60 days to get a divorce after you file paperwork and pay.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-1d61e08d868043a6a8dade7b10c47887"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Monarch flight is float-like in comparison, with its characteristic flap, flap, glide pattern. Timing Viceroys do not migrate. They overwinter as 1st or 2nd instar larvae, rolled up in a leaf of their host plant (willow or poplar). In the spring, the larvae need about 15 days to complete the life cycle and become a butterfly. They must develop through the remaining instars (approximately 5 days) and the chrysalis stage (at least 10 days). 30 years. There is a long and growing list of abundant species that are undergoing precipitous declines, including many species of mollusks, pollinators, amphibians, bats, songbirds and fishes. Faulty assumptions about the resiliency of once-common species can lead to lack of timely intervention, The viceroy is a North American butterfly that ranges through most of the contiguous United States as well as parts of Canada and Mexico. The westernmost portion of its range extends from the Northwest Territories along the eastern edges of the Cascade Range and Sierra Nevada mountains, southwards into central Mexico. Its easternmost range extends along the Atlantic and Gulf coasts of North America from Nova Scotia into Texas. It was long been thought to be a Batesian mimic of the monarch butter How can you tell a monarch from a Viceroy? The Viceroy butterfly is smaller than the monarch butterfly, on average, but some monarchs are smaller than some Viceroys are, so size is not a good way to tell them apart. Viceroys have a black line across the hindwing vein. What is the wingspan of Hewitson's Glassy Legionnaire butterfly? A wingspan of 2.4 inches ( 6 centimeters ) characerizes Hewitson's Glassy Legionnaire ( Acraea admatha ) butterfly. Specifically, the butterfly is a colorful, noticeable in \u2026 habitant of such countries as Cameroon in sub-Saharan Africa. Although larvae eat only milkweed, adult monarchs feed on the nectar of many plants including: 1  Apocynum cannabinum \u2013 Indian hemp. 2  Asclepias sp. \u2013 milkweeds. 3  Aster sp. \u2013 asters. 4  Cirsium sp. \u2013 thistles. 5  Daucus carota \u2013 wild carrot. 6  Dipsacus sylvestris \u2013 teasel. 7  Echinacea sp. \u2013 coneflowers. 8  Erigeron canadensis \u2013 horseweed. Butterfly Gardens ; Identify Butterflies ; Identify Caterpillars ; Facts & Info ; Butterfly Stories ; Where To Buy Plants ; Shop for Gifts & Supplies While the viceroy looks very similar to the monarch butterfly, the viceroy can be distinguished by having a black line across its wings that the monarch does not have. The viceroy was voted Kentucky's state insect in 1990. The viceroy was featured on Kentucky's nature license plate in 2002. The Latin word Limenitis means marshes in reference to where this butterfly is often found. Viceroy Butterfly Life Cycle. The monarch (Danaus plexippus) is a brushfooted butterfly of the Danainae subfamily. It is perhaps the most well-known of all North American butterflies. Since the 19th century, it is also found in New Zealand, and has been known in Australia since 1871. [1] [2] In Australia it is also known as the wanderer butterfly. [3] In Europe it is resident in the Canary Islands and Madeira, and is found as a migrant in Russia, Azores, Sweden and Spain. Its wings feature an easily recognizable orange and black pattern, with a wingspan of 8.5\u201312.5 cm (3.34 in\u20134.92in). (The viceroy butterfly has a similar size, color, and pattern, but can be distinguished by an extra black stripe across the hindwing.) Limenitis Archippus are distributed in 6 known subspecies. 1  Based on the surroundings and locations, the subspecies show slight differences in their color and appearances. The subspecies are: Limenitis A. Archippus: It is also known as the Eastern Viceroy. It is the dominate subspecies found in North America and Canada. Query: how long is the wingspan viceroy butterfly\n", "labels": "The wingspan of viceroy butterfly is 8.5 centimeter to 12.5 centimeter.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-561daef16d2c4e1d81518b5526b24bda"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Page count is not a good way to measure length. A 20-page plan with dense text and no graphics is much longer than a 35-page plan broken up into readable bullet points, useful illustrations of locations or products, and business charts to illustrate important projections. Measure a plan by readability and summarization. A good business... If the Appendix is long, a divider should be used to separate it from the body of the plan, or a separate Appendix document should be prepared. These techniques ensure that the investor is not handed a thick business plan, which will make them queasy before even opening it up. How Long Should Your Business Plan Be? Depending on what you're using it for, a useful business plan can be any length, from a scrawl on the back of an envelope to, in the case of an especially detailed plan describing a complex enterprise, more than 100 pages. A typical business plan runs 15 to 20 pages, but there's room for wide variation from that norm. If you\u2019ve reviewed what a business plan is, and why you need one to start and grow your business, then it\u2019s time to dig into the process of actually writing a business plan. In this step-by-step guide, I\u2019ll take you through every stage of writing a business plan that will actually help you achieve your goals. Main points should show up in a business plan as quickly as they do in a business pitch or presentation. Unfortunately, many people still use page count as measurement. And in that context, some of the more practical, internal-use-only business plans can be only 5 or 10 pages long. Corporate business plans for large companies can run into hundreds of pages. The first is the assumption that making a business continuity plan is enough, that it doesn\u2019t have to be tested. The second is a shortage of staff available to run the tests. However if at least the necessity to test is recognised, even if resources are scarce, you can still make some amends. Ideally, your business plan should be 15-25 pages long and it should include an executive summary of between 2-4 pages, depending on the complexity of the business and the purpose of the plan, which answers the two questions asked by every experienced investor:: Here goes the quick guidelines to keep the business plan simple: 1  Avoid long complicated sentences. 2  Avoid buzzwords, jargon and acronyms; you know that KISS stands for \u201ckeep it simple, stupid,\u201d but don\u2019t assume anybody else does. 3  Avoid verbose text. 4  Keep the text style same throughout the business plan. For the business plan document we use to back up an effort to attract outside investors, or in an MBA contest setting, or to back up a commercial loan application, 10-15 pages of easy-to-read text plus as many charts and tables as you want. The more charts and tables, the better; don't count those charts and tables as part of the 10-15 pages. It seems, back in the day, the longer your business plan was, the more promising it was going to be, said Dany Levy, founder of DailyCandy.com, in a recent New York Times interview. And now it's, the shorter your business plan is, the more succinct and to the point it is, the better. Query: how long should business plans be\n", "labels": "A typical business plan should be 15 to 20 pages long.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-afeb4bda6fe540fe963451dc2e4ee1aa"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: In terms of energy allocation, our brains require 25% of the body's total stored energy (which is a lot if you think about it), with the rest going to fuel our muscle tissues and red blood cells. We can go for about six hours in this glucose-burning mode, which is why we tend to get a bit cranky if we have to go without food for longer than that. The point is that not all of your cells die quickly without oxygen. In surgeries they cut off blood supplies for up to hours and tissues don't die. Your brain is really what needs the oxygen. It has a huge metabolic requirement, and it needs a constant supply of oxygen for cellular respiration. In essence, your body is buying you some valuable time to give you a fair chance of finding some food. 0-6 hours after eating. Soon after eating, our bodies start to break down glycogen (molecules that store energy) to produce glucose (an important carbohydrate that fuels cells). [\u2013]Helassaid 93 points94 points95 points 5 years ago (16 children) Most cells in the body can respire anaerobically and do a decent job of surviving the ensuing onslaught of organic acid byproducts... except brain cells, which are wholly dependent on oxygen because of their high rate of metabolism. It depends on the tissue type and on the circumstances. Brain cells start to die after 5 minutes, while heart cells die after 2 hours without oxygen. You can slow down the process by cooling down the body. \u2013 inf3rno Oct 27 '15 at 2:50 1 So, in summary: although I could find no solid evidence on how long a limb can live without its blood supply, it appears to be about 2-4 hours (some sources say 5-8); however, I would like to add that your case appears to be a severe case of an asleep limb, you were/are likely in no danger. When a limb falls asleep, it is getting the nerve pinched off for a time as well as loosing some blood flow. However, this is not a complete loss and so your arm is able to survive because it is still receiving enough oxygen and other nutrients to sustain its existence (as well as having toxins and CO2 pumped away from it). The human body can go without oxygen for about five to ten minutes, and about three to eight days without water. But remarkably, people have been known to live upwards of 70 days without food. How is this possible? The crucian carp can live in anoxic water for months at temperatures close to freezing. Similarly the turtle, Trachemys scripta, can withstand anoxia for 48 h at 20 \u00b0C and at least 3 months at 3 \u00b0C. Most of the book is in fact devoted to a detailed look at the adaptions that allow these species to survive without oxygen for a long time. I've heard it said various times that the body's tissues will begin to necrotize after being cut off from the blood supply for only a few minutes, but that can't be true. Query: how long can a body cell live without oxygen\n", "labels": "Brain cells start to die after 5 minutes, while heart cells die after 2 hours without oxygen.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-3f3e790e97064ed88e55ad6be40a415a"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Our focus is to produce consistent offspring (health, temperament, conformation and fleece coat) meeting the Australian Labradoodle Breed Standard. First Generation Labradoodle (50% lab 50% poodle). Due to shedding and allergy issues we have NO plans to breed First Generation again in the immediate future. F1B, Second Generation Labradoodle (First Generation Labradoodle bred to a Poodle, 25% lab 75% poodle) Due to shedding and allergy issues we have NO plans to breed Second Generation at this time. NOTE: this price includes a $350 non refundable wait list fee to be placed on our wait list, receive wait list only monthly updates and announcements. Labradoodle puppy All of our puppies are Multigeneration Australian Labradoodles. The cost of a companion puppy is $2,800.00 regardless of color, gender, or size. Please contact us for pricing on breeding quality puppies. Once we have an approximate birth date make sure you schedule time on your calendar to bring home your new Rosewood Labradoodle puppy. Puppies required to stay longer than normal pick up times will receive a boarding charge of $20.00 per day. Our labradoodle price is: Australian Labradoodle ---- $3000 All colors and all size of Australian labradoodle. An Australian Labradoodle is a 3 breed mixed breed dog. They are a combination of Poodle, Cocker Spaniel (American or English) and Labrador. Frequently Asked Questions . Q: Are your dogs from Australia? A: Our Australian Labradoodle breeding stock is made up of top quality, multi-generational labradoodles imported from the Australian research and breeding centers, Tegan Park and Rutland Manor, as well as Australian Labradoodles purchased from other USA breeders. A: Our Australian Labradoodle breeding stock is made up of top quality, multi-generational labradoodles imported from the Australian research and breeding centers, Tegan Park and Rutland Manor. We are also infusing some earlier generation breeding stock for fresh bloodlines and to offer the hybrid vigor that the labradoodle is known for! LINKS and FAQ. Labradoodle Price. Only approved families can adopt our Australian Labradoodle puppies. We are taking deposits on a first come first serve basis to fill our wait list. Note, we rarely have puppies available once born; they are placed with families on our wait list prior to birth. We have been breeding since 2001. Labradoodle puppies for sale and dogs for adoption. Find the perfect Labradoodle puppy for sale at PuppyFind.com. All of our puppies are Multigeneration Australian Labradoodles. The cost of a companion puppy is $2,700.00 regardless of color, gender, or size. Please contact us for pricing on breeding quality puppies. Our breeding dogs are healthy, happy members of our family and live in our home or with a guardian family. Your puppy will be born and raised in our home with loving care. To get the puppies off to a good beginning we apply the Early Neurological Stimulation process. We have no outside kennels and know the importance of socializing your puppy with the usual household noises and commotion. Query: australian labradoodle cost\n", "labels": "The cost of Australian Labradoodle is $3000.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-58bae2431b6e4ab0a96a09f406b22251"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: They can stay in urine 3 to 6 weeks, hair up to 90 days, and blood 2-3 days depending on multiple factors. Several factors play a role in how long benzodiazepines stay in your system. They can stay in urine 3 to 6 weeks, hair up to 90 days, and blood 2-3 days depending on multiple factors. Several factors play a role in how long benzodiazepines stay in your system. The most influential factors to consider when coming off benzos are: Age: The older a person is the slower their metabolism will be and the slower their organs will work. This will play a huge role in how quickly they can eliminate toxins from the body. How long does valium stay in your system - How long does valium stay in your system? 550 Hours (23days) Valium (Diazepam) has half life of 48 hours. Terminal elimination half life of active metabolite N-desmethyldiazepam is approx. 100 hours Valium and it's metabolite will be in your system for 550 hours which is approx. 23 days. Peak levels and drug half-life of benzodiazepines depend on several factors such as the specific drug that has been prescribed or ingested, dosage amount, time between doses, and method of administration. 1  In general, benzos can be divided into these three categories: 1  Ultra short acting benzos \u2013 The half-life of ultra short acting benzodiazepines is 5 hours or less. 2  Short acting and intermediate benzos \u2013 This class of benzodiazepines have a half-life that ranges from 5-24 hours. WebMD experts and contributors provide answers to: HOW LONG DOES VALIUM STAY IN YOUR URINE Valium can stay in your system and be detected in urine for up to 5-7 days after therapeutic use. Chronic use (over one year) of Valium, however, can be detected much longer. The detection window for Valium in urine screens is up to 4-6 weeks. More here on the detection window and drug testing for Valium. Benzodiazepines can stay in your system for up to 10 days. Some tests can detect long-acting benzos for up to ten days in someone's blood, urine or saliva. Hair tests can show evidence of benzos for up to 90 days. Certain factors that affect detection time are body mass, duration of use, and drug properties. Other factors that can affect how long Valium stays in a person's body have to do with the specific prescription\u2014the larger the dose and more frequently you take it, for example, likely means it will be detectable for longer. Why You Might Be Tested For Valium Take an example, Valium has a long half-life, but its effects go away within a short time. The reason, it stays in the blood but not in the brain for a long time. But this does not take away the fact that you may get positive urine or blood result even days after your last dose. Want To Know More? Talk to the experts to know more about how long does Valium stay in your system? How long does valium stay in your system that will show up in a urine test? Posted 30 May 2012 \u2022 7 answers I was told by a pharmacist that valium and temazepam stay in the system for urine testing 4-5 days, please advise. Query: how long does valium stay urine\n", "labels": "Valium can stay in your system and be detected in urine for up to 5-7 days after therapeutic use.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-44936b0945404a5591f70245de94c819"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Thin pork chops will only need 4 \u2013 5 more minutes to reach and internal temperature of 140 degrees; while thicker chops may take as long as 20 minutes The best way to tell when the pork chop is cooked through is to use a meat thermometer How to Bake Pork Chops In the Oven. 1  I like to brine all my pork chops, which you can start a day ahead. 2  Pre-heat your oven to 450 degrees. 3  Take the pork chops out of the fridge (brine) about an hour before you are ready to cook them, and let them come up to room temp. 4  Season them with salt and pepper. The Keys to Perfectly Baked Pork Chops. The temperature and how long you cook the pork chops are the two most important factors. I like to go high on the first one...400 - 450 degrees. The lenght of time will vary a bit based on the thickness of the chop. Thin pork chops will only need about 8 minutes in the oven using my method below. Now here's the real key for how to bake pork chops: a quick skillet sear. In an extra-large skillet heat 1 tablespoon oil over medium-high heat. Add 2 bone-in chops or up to 4 boneless pork chops. Cook about 6 minutes or until the surfaces are perfectly browned. Flip the chops as needed for an even sear. How to Bake Pork Chops In the Oven. I like to brine all my pork chops, which you can start a day ahead. Brining adds great flavor & moisture to the chops; Pre-heat your oven to 450 degrees; Take the pork chops out of the fridge (brine) about an hour before you are ready to cook them, and let them come up to room temp; Season them with salt and pepper The Keys to Perfectly Baked Pork Chops. The temperature and how long you cook the pork chops are the two most important factors. I like to go high on the first one...400 - 450 degrees. The lenght of time will vary a bit based on the thickness of the chop. Thin, or boneless pork chops will How to Bake Pork Chops In the Oven. 1  I like to brine all my pork chops, which you can start a day ahead. Brining adds great flavor & moisture to the chops. 2  Pre-heat your oven to 450 degrees. 3  Take the pork chops out of the fridge (brine) about an hour before you are ready to cook them, and let them come up to room temp. In this recipe, pork loin chops are breaded and baked for scrumptious fried flavor without the added fat and calories. Dip pork chops in a mixture of milk and egg, then coat with corn bread stuffing mix. Bake at 425\u00b0F for 20 minutes or until the chops reach an internal temperature of 145\u00b0F. Oven-Baked Pork Chops Recipe. Here's the detailed recipe for our oven-baked pork chops: 4 bone-in pork loin chops, cut 1-1/4 inches thick (about 3 pounds total), or 4 boneless pork loin chops, cut 1-1/4 inches thick (about 2-1/2 pounds total) 1/4 teaspoon salt; 1/4 teaspoon black pepper; 1 tablespoon olive oil; 1. Preheat oven to 350\u00b0F. Trim fat from chops. The most common issue is how long to cook the pork chops. Thin pork chops will only need 4 \u2013 5 more minutes to reach and internal temperature of 140 degrees; while thicker chops may take as long as 20 minutes; The best way to tell when the pork chop is cooked through is to use a meat thermometer Query: how long do i bake boneless pork chops\n", "labels": "It takes 6 minutes to bake boneless pork chops.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-2ed10ce4f79f4597b35eb5e5d0765520"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: So you might as well redefine your question as How many Ships does the US navy have? IF you want to know the real answer to how many Aircraft Carriers?... you cannot redefine the question to mean something else. We have 10 Carriers. The Japanese Navy had 25 carriers of all types; 1 was laid up damaged, another beached and capsized, 20 were lost to enemy action. The French Navy, as noted above, had 1 carrier, converted to an aircraft transport in 1944. This count is for commissioned naval vessels designated as aircraft carriers only. Nimitz class aircraft carrier design. The more recent Nimitz Class carriers (CVN72-CVN76) have a displacement of 102,000t when fully loaded. They have a length of 317m and beam of 40.8m. The carrier reaches a maximum speed of over 30kt, and accommodates a complement of 3,184 personnel (with 203 officers); 2,800 aircrew (with 366 officers); and 70 flag (with 25 officers). Aircraft Rep. Paul Ryan (R-WI) on Wednesday defended his budget\u2019s call to increase military spending by complaining that the U.S. has only 10 aircraft carriers and that the U.S. Army is smaller than it was in 1945 and the U.S. Navy is smaller than it was during World War I. List of aircraft carriers in service. This is a list of aircraft carriers which are currently in service, reserve, under construction, or being rebuilt. An aircraft carrier is a warship with a full-length flight deck, hangar and facilities for arming, deploying, and recovering aircraft. The list only refers to the status of the ship, not availability or condition of an air wing. This includes helicopter carriers and amphibious assault ships, which are vessels whose primary purpose is to carry, arm, deploy, and recover aircraft. Statistically, one can take the numbers of carriers in action per month during the period and come up with a composite carrier\u2019s profile of operating numbers: Flights: 2755; action sorties 1043; combat losses: 61; combat operational losses: 26; non-combat related losses: 28; for a total of 115 aircraft lost in a 12 month period. In the United States Navy, these consist of ships commissioned with hull classification symbols CV (aircraft carrier), CVA (attack aircraft carrier), CVB (large aircraft carrier), CVL (light aircraft carrier), CVN (aircraft carrier (nuclear propulsion)) and CVAN (attack aircraft carrier (nuclear propulsion)). There are 11 aircraft carriers currently in service in the U.S. fleet USS Enterprise (CVN-65): 85,600 ton unique nuclear-powered supercarrier, commissioned 25 November 1961. Navy EEO; Inclusion And Diversity; Navy Standard Integrated Personnel System (NSIPS) My Navy Portal; Board of Corrections for Naval Records (BCNR) Shift Colors-Navy Retiree Newsletter; Civilian Federal Careers But the U.S. has failed to plan for replenishment of America\u2019s depleted Sixth Fleet. This absence of sufficient seapower sets the stage for trouble reaching far beyond the region, raising the larger question of how the U.S. is planning future naval forces. Aircraft carriers are an instructive example. In the 2007 Defense Authorization bill, Congress wrote into law that we must not go below eleven. Since December 2012, this has been lowered to ten so that USS Enterprise could be retired before USS Ford\u2019s 2016 commissioning. Query: how many aircraft carriers usa have\n", "labels": "The United States has currently 11 aircraft carriers in service.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-3c5f310e30fd40609f23e8461aaf7824"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How Long Does It Take To Become A Medical Coder? (answered) This is an exacting work and will require you to at least have an associate\u2019s degree and a credential in coding. You don't have to be a student for Certified Coder Academy to help you with current medical coding job information. This might be true when ICD-10 goes into effect but we really can't be sure when that's going to happen. You can become a medical coder through different avenues. Certificate programs are offered at technical colleges and medical trade schools, and generally take anywhere from one to two years to complete. Associate degree programs are offered at community colleges and typically take about two years to complete. Medical coding specialists rely on their knowledge of anatomy, medical terminology, health conditions, and medications to assign diagnostic and procedural codes for each patient encounter. They must review a patient\u2019s medical record and will, at times, talk to the patient\u2019s healthcare provider or research payor policies to uncover missing information. Expand your medical billing and coding education with the MB&CC E-book. Download FREE e-book; Find the program for you. Search our directory of all medical billing and coding schools. Compare Programs; How Long Does It Take to Complete Training to Become a Medical Biller or Coder? The length of time it takes for your training depends on a number of factors, including if you are going to do online classes or actual classroom learning, whether or not you are looking for a certification or a degree, and if you want physician-based coding or facility-based coding. How to Become a Medical Coder Three Methods: Training to Become A Medical Coder Finding Employment as a Medical Coder Becoming a Certified Medical Coder Community Q&A Medical coders or medical coding specialists go through detailed information about patient injuries, diseases and procedures from medical records and documents provided by doctors and other healthcare providers. There are many physician's offices and clinics across the country who require their medical billing staff to be CMBP (Certified Medical Billing Professional) Certified through MBC. 1  If you have been searching for a legitimate Medical Billing Course and Certification, chances are good you have run across the scams. Certified Professional Coder (CPC) Exam: Frequently Asked Questions. \u2026 As long as your Career Step program access is still current, \u2026 I have one year of experience in ER I want to be certified in medical coding so which one is best for me CPC or CIC. Medical coders help to complete, review, and process medical claims to help physician practices and hospitals get reimbursed from insurance companies for services and facilities provided to patients. Each medical procedure and patient encounter has a number, or CPT code, associated with it which corresponds to another code for a diagnosis (an ICD code). 1  This helps insurance companies account for and track the money they reimburse to physicians and practices, to help prevent fraudulent medical claims or errors in payment. Insurance and outsourcing companies also hire medical billing and coding specialists, as do government services such as Medicare and Medicaid. In most instances, employment is full-time, in an office environment, during normal business hours; however, 24-hour medical facilities may offer or have requirements for evening and weekend hours. Query: how long does it take to become medical coder\n", "labels": "It takes one to two years to become medical coder.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-b1a63912d7cb418ba3b56964c41e9742"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Hydrogen ion (H 3 O +) as a flattened pyramid . Hydrogen ions. Hydrogen ions are molecular ions with the formula H 3 O + (H 2 O) n, formed by the addition of a proton to one or more water molecules. The ionic product, K w. pH Hydroxide ions Grotthuss mechanism . The structure and dynamics of the hydrogen ion in water have been reviewed . how do hydronium ions form. when a hydrogen ion, H+, separates from the acid and bonds with a water molecule, H2O, to form H3O+. What are some properties of acids. sour taste, corrosive, most of them are poisonous, reacts with metals to form hydrogen gas, conduct electric current. Hydronium is what you get when you put water and hydrogen ions together, forming H 3 O +. Hydronium is the simplest form of oxonium, which is any ion that contains the trivalent oxygen cation. Hydronium is also known as hydroxonium. As with many species in chemistry, the nomenclature isn't the same everywhere. Where would you find hydronium? Hydronium is found in interstellar clouds and in the tails of comets. A hydronium ion is formed when a positively charged hydrogen ion bonds with a molecule of water through a coordinate covalent bond. In this coordinate covalent bond, the oxygen from the water... A hydronium ion is formed when a positively charged hydrogen ion bonds with a molecule of water through a coordinate covalent bond. An acid does not itself contain hydronium, which is formed when an acid reacts with water. If you meant how to reduce the hydronium in an acidic water solution, you would simply add a base. For i... so, they will form H3O+ that is less stable from H2O and more stable than H+... H3O+ stays between the H2O and H+ its the best act they can do to achieve stabilization... hopes thats help... When a protic acid is added to water, it releases a hydrogen ion (H+) (also called aproton because a hydrogen atom missing one electron is nothing but a proton!). However, H+ \u2026will not stay a free ion, and instead immediately combines with a nearby water molecule (H2O) to form the hydronium ion, H3O+. Assorted References. 1  major reference (in acid\u2013base reaction: Hydrogen and hydroxide ions) (in acid\u2013base reaction: Dissociation constants in aqueous solution) 2  occurrence in soil (in soil: Mineral content) 3  particle accelerators (in particle accelerator: Generating particles) 4  pH measurement (in chemical analysis: pH determinations) A hydronium ion is written as H3O+. It is formed when something else donate a proton, or H+, to a water molecule. The H+ will easily bond to one of the two lone pairs of electrons around the water ... The resulting hydronium ions are few and short-lived. pH is a measure of the relative activity of hydronium and hydroxide ions in aqueous solutions. In acidic solutions, hydronium is the more active, its excess proton being readily available for reaction with basic species. The hydronium ion is very acidic: at 25 \u00b0C, its pK a is 0. It is the most acidic species that can exist in water (assuming sufficient water for dissolution): any stronger acid will ionize and protonate a water molecule to form hydronium. Query: how does the hydronium ion form\n", "labels": "A hydronium ion is formed when a positively charged hydrogen ion bonds with a molecule of water through a coordinate covalent bond.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-1fdaa7e8fb2c41c1af07f03542f6b0ba"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The Birds have handlebars but no seat, like a hot-rod version of the Razor or Micro scooters beloved by toddlers. They go at speeds of up to 15mph \u2014 faster than many cars can move in Los Angeles\u2019 congested streets. American coot. The American coot (Fulica americana), also known as a mud hen, is a bird of the family Rallidae. Though commonly mistaken to be ducks, American coots belong to a distinct order. Unlike the webbed feet of ducks, coots have broad, lobed scales on their lower legs and toes that fold back with each step in order to facilitate walking on dry land. If you're looking for Bird Scooter coupon codes, check out this Freebie promo code for Zipcar. Like Bird Scooter, Zipcar is a ride sharing brand, and they are currently running a Freebie promo code which you might like. A Parked Bird Electric Scooter - a couple days after launch, before they put the Bird logo on them But this scooter was alone And while standing there waiting for my gf to pick me up, I got more and more curious because no one was standing by it and no one seemed to have been watching it. How fast does a 49cc scooter go? A: The top speeds of most 49cc scooters are between 35 and 50 mph on flat, dry pavement. Higher speeds are achieved by derestricting the scooter. Regardless... Full Answer > Bird has posted photos and videos to its Instagram account of people without helmets using its scooters on roads.) On a percentage basis, we actually think Bird is one of the safest ways to get around town, he said. We focused on the bestselling products customers like you want most in categories like Baby, Clothing, Electronics and Health & Beauty. Marketplace items (products not sold by Walmart.com), and items with freight charges are not eligible for ShippingPass. A 150cc scooter will likely top out around 50 to 60 mph, whereas something a lot heavier, such as a 150cc Go Kart will have a much slower top-end... A 150cc scooter will likely top out around 50 to 60 mph, whereas something a lot heavier, such as a 150cc Go Kart will have a much slower top-end... With $15 million in its pocket, the team is hoping to bring its scooters to dozens more American cities throughout 2018 \u2014 just don't call them scooters. The CEO prefers the term Birds for the vehicles. We don't really like the word scooter, he said. To him, a scooter sounds too much like a children's toy. Bird scooters flying around town With autonomous vehicles it\u2019s not about the journey, it\u2019s about the destination Pitch your transit ideas to Metro\u2019s Office of Extraordinary Innovation 9 MIN, 54 SEC Query: how fast is a bird scooter\n", "labels": "Birds scooters go at speeds of up to 15 mph.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-cd1edcf3b554414f818cc00df714ba2b"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How long should I keep tax returns? In most cases, you should plan on keeping tax returns along with any supporting documents for a period of at least three years following the date you filed or the due date of your tax return, whichever is later. How to keep your records. There are no rules on how you must keep records. You can keep them on paper, digitally or as part of a software program (like book-keeping software). HMRC can charge you a penalty if your records aren\u2019t accurate, complete and readable. Lost or destroyed records. Try to get copies of as much as you can, eg ask banks for copies of statements, suppliers for duplicate invoice etc. If you may have under-reported income by 25 percent or more, then you'll need to keep tax returns and all related information for six years. When there is substantial activity from a closely held business, or the cost basis records for property or securities sold are unclear, under-reporting income is a real possibility. Still, you'd be surprised at how much you can safely discard. Here is what you should keep and how long you should keep it. Three Years. Keep your federal and state income tax returns and related receipts and statements for at least three years. Keep a 2005 tax return that includes reporting of irregular items until April 2012. So if the IRS hasn't raised any issues about your 2004 tax return by now, then it should be safe to shred and discard it. Seven Years. Keep any tax return and documentation that includes a claim for deducting worthless securities for seven years. There you have it. Check back in a few days and I'll share a few more tips on what to keep indefinitely and how to keep your records organized and safe. In some cases, you may need to hang onto your records longer than three years. For instance, you should plan on keeping tax forms for retirement accounts such as IRAs until seven years after the account is completely wiped out. If you file a claim for a loss of worthless securities or bad debt deduction, you must keep records for seven years. What tax records should I keep? You should keep every tax return and supporting forms. This includes W-2s, 1099s, expense tracking, mileage logs if you itemize and other documents. So why is keeping tax returns for three years important? Keeping tax returns for the three-year time period is tied to the IRS statute of limitations. As a result, you will need to keep your 2008 tax return and related papers until April 2012. It's generally safe to shred and discard it after that (unless a situation described below applies to you). See IRS Publication 552, Recordkeeping for Individuals, for more information. Six Years. You need to keep records if you have to send HM Revenue and Customs (HMRC) a Self Assessment tax return. You\u2019ll need your records to fill in your tax return correctly. If HMRC checks your tax return, they may ask for the documents. You must also keep records for business income and outgoings if you\u2019re self-employed. Moneywatch Spotlight. 1  6 things to avoid buying over Labor Day. 2  10 homes that will make you want to dance. 3  The 7 U.S. cities where your money will go the farthest. 4  The top 10 jobs for Americans without college degrees. 5  These are the 5 best and worst U.S. states to grow old. Query: how long do you need to keep tax records in the us\n", "labels": "you shoul dkeeping tax records for three year.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-a81189788e894049a872723ca9c907a3"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Remove the baking sheets from the oven. Let the strawberries cool at room temperature for 20 minutes. After the cooling off period, break one of the pieces of fruit in half. There should be no visible moisture along the surface of the break. :( I followed this to a T, and 6 hours later it was still mushy. I finally had to go to bed and take it from the oven. What do you think I could have done wrong? I measured the strawberries, used fresh lemon juice, sugar\u2026.. oven at 170. I have never noticed my oven temp being low with other recipes. So disappointed. However, as long as you don't position the cut sides of the fruit down on the sheet, they won't stick. Dry the Strawberries. Place the sheets of strawberries in the oven and dry them at 200 F for 3 hours. If your oven is hotter in some spots than others, turn the baking sheets around occasionally so that the strawberries dry evenly. Cool the Dried Fruit. You won't be completely sure if the strawberry pieces are fully dehydrated until they have cooled. Prepare the Strawberries. 1  Wash the strawberries. 2  Slice off the hulls\u2014the green parts at the stem end of the fruit. 3  Cut small strawberries in half and larger ones into quarters. 4  Arrange the strawberry pieces on baking sheets cut sides up. Make sure that none of the strawberry pieces are touching. 200 F for 3 hours Dry the Strawberries. Place the sheets of strawberries in the oven and dry them at  200 F for 3 hours. If your oven is hotter in some spots than others, turn the baking sheets around occasionally so that the strawberries dry evenly. By Rachel // August 12, 2013 // 146 comments // Share. Easy homemade strawberry fruit leather, requiring only a few simple ingredients and an oven! Tastes just like your favorite fruit roll-up, only better. This past weekend was tax free weekend in MA and since I had been wanting to go to Ikea for a while, I made a date with my mom to go shopping. Hulling strawberries? What does that mean, just take off the greens? Rachel \u2014 February 26th, 2015 @ 6:31 pm . The amount of sweetener may need to be adjusted if you substitute with an alternative. As for hulling strawberries, it means to remove the leaves and the core of the strawberry. # Ultimately it took 7 hours in the oven, and I probably could\u2019ve left it just a smidge longer because there were some undried spots. Rachel \u2014 July 12th, 2014 @ 8:09 am . If the mixture is too thick or the oven temperature is not accurate, that can play a huge role in how long it will take to dry out completely. I hope you enjoyed it! :) # It's okay to fully fill the jars at this point: the two-thirds full was just for the conditioning phase when you needed to be able to shake the pieces around. 1  Drying & Dehydrating. How to Make Dried Apples Using the Oven Method. 2  Drying & Dehydrating. How to Dehydrate Cherries in Your Oven. 3  Drying & Dehydrating. Dry the Strawberries Place the sheets of strawberries in the oven and dry them at 200 F for 3 hours. If your oven is hotter in some spots than others, turn the baking sheets around occasionally so that the strawberries dry evenly. Cool the Dried Fruit. You won't be completely sure if the strawberry pieces are fully dehydrated until they have cooled. You know how cookies crisp up after you take them out of the oven? Query: how long does it take to dry out strawberries in the oven ???\n", "labels": "It takes 3 hours to dry out strawberries in the oven.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-751c1de81b5a45d6a948c8899b1ba7cd"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: My recipe for thin-cut pork chops, grilled quickly on only one side. 1  Prep Time: 20 minutes. 2  Cook Time: 4 minutes. 3  Total Time: 24 minutes. 4  Yield: 4-6 servings. 5  Category: Grilling. 6  Cuisine: American. After one minute, open the grill and flip the chops. Close the lid for one minute. Then turn down the heat to medium (or move the chops to the cooler side of your charcoal grill). Rotate the chops to get your cross hatch marks, and let them cook for about 3 minutes with the lid down. Step 1, Flatten your boneless pork chops. This will help them to cook all the way through while you are frying them, without burning the outsides. Place each chop between two sheets of wax paper. With a meat mallet or a rolling pin, pound the chop until it flattens and thins out. The ideal thickness is between \u00bd inch (1.2 cm) and \u00bc inch (0.6 cm).Step 2, Beat an egg in a dish or a bowl and add 2 tbs. (30 ml) of milk or water.Step 3, Place each pork chop in the liquid, coating each side. Bake pork chops at 300 degrees F for 20 to 30 minutes while checking them frequently. Cover them with aluminum foil to keep moisture in. When buying pork chops, look for those that are pink and have no odor. Avoid those that are gray, white or have a soggy texture or liquid in the tray. These pork chops were probably not processed correctly. Ingredients. 1  7 pieces Or 8 Pieces Breakfast Chops (very Thin Bone-in Pork Chops) 2  1 cup All-purpose Flour. 3  1 teaspoon Seasoned Salt. 4  1 teaspoon Black Pepper. 5  Cayenne Pepper To Taste. 6  1/2 cup Canola Oil. 7  1 Tablespoon Butter. 8  Extra Salt And Pepper, To Taste. 42 comments about \u201cHow to Grill Perfect Pork Chops\u201d. 1  Top Pinned Recipes 2015 | Williams-Sonoma Taste. 2  Looks great. Looking forward to trying. 3  I have been dying to grill pork chops on the grill. When I saw your recipe I couldn\u2019t believe my eyes! 4  Grilled Pork Chops \u2013 On Aisle 6. 5  Trying it now, don\u2019t have kosher so using only 1 TBS of table salt. Remove chops from store packaging, pat dry with paper towels. Cut (3) 1/2 slits near the outer edge of each chop. Season each chop with salt, both sides, rubbing salt into meat. Pork chops between 1/4-inch and 1/2-inch thick are referred to as thin cut pork chops. If you add a few extra ingredients to the baking pan, the whole dinner can cook in the oven... Pork chops between 1/4-inch and 1/2-inch thick are referred to as thin cut pork chops. How long do you bake thin cut bone in pork chops? You can bake thin cut bone in pork chops by first preheating the oven to 400 degrees. Then place the chops on a foil lined baking pan and cook for about 8 to 10 minutes de \u2026 pending on actual thickness. Brine the pork chops (optional): If you have time, brining the pork for even a brief period adds flavor and ensures juiciness in the finished chop. Bring 1 cup of the water to a boil, add the salt and optional flavorings, and stir to dissolve the salt. Query: how long do you cook thin pork chops\n", "labels": "You should cook thin pork chops for about 8 to 10 minutes.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-4966866f46cb4c9c9934f6f7722c3d21"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Add another 30 to 60 minutes for an international departure leaving at a peak time. It's better to arrive at the gate early and catch up on your reading, than to arrive on time and miss your flight (most carriers secure the plane doors five minutes before departure time!). Airport Information Confirm from the list below when you need to arrive at the airport and learn more about the products and services available there. All suggested airport arrival times are approximate, and can fluctuate based on weather, holidays, and busy travel periods. Dulles recommends arriving at the airport 2 1/2 to 3 hours before departure time for an international flight. I tend to leave myself 2 1/2 hours if my airline has allowed me to check in on-line, because then I only have to queue in the shorter, faster line to check my luggage and get my passport vetted. Cathay Pacific Announces Nonstop Service from Dulles International to Hong Kong To Launch Flights with Airbus A350-1000 on September 16, 2018 Content replaced with JS Before you head to the airport though, check your flight time. Check your flight status at IAD to determine if there are any changes in your itinerary. Once you\u2019ve confirmed your IAD flight status, many airlines recommend you arrive at the airport at least two hours early for domestic flights and three hours prior to international flights. Washington D.C. Airport Parking & Transportation Information At the departure airport. When you arrive at the departure airport, you can check in for your flight in the following ways: Visit a self-service kiosk, where you can print your boarding pass and check baggage. See a United representative at the United check-in counter. Dulles can be a little confusing. Especially if you have to park your car, you want to give yourself extra time for that. My theory is always better to be safe than sorry. You don't want to miss your flight. If you get there early, then get something to eat, find your gate, and bring along a good book or magazine to help pass the time. For international flights, we encourage you to be at the gate no later than 30 minutes before your scheduled departure. If you are departing from the following airports, please be advised that you are required to be at the gate at a specific time before departure, as additional security or documentation checks may be required: All air travelers must arrive at the airport well in advance of their international flights. They'll need time to check baggage and might need to check in for the flight. In addition, all passengers must pass through the Transportation Security Administration screening checkpoint before receiving access to the airport's secure boarding area. When you arrive at the departure airport, you can check in for your flight in the following ways: Visit a self-service kiosk, where you can print your boarding pass and check baggage See a United representative at the United check-in counter Query: how early should i arrive for an international flight at iad\n", "labels": "You should arrive three hours prior to international flights at IAD.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ef12dcf3399c45a2a4740dc477ee9079"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Know when you need to transfer ownership After you buy or get a vehicle as a gift, you have 15 days to transfer the ownership into your name. If you don't transfer within 15 days you'll have to pay penalties: $50 on the 16th day, $2 per day after the 16th day, up to $125. If you buy from a WA state dealer, they will take care of the transfer. If you buy from an out-of-state dealer, you may need to take care of the transfer. Find out more about buying from a WA dealer. To transfer ownership. 1  the owner can use the transferable registration and a bill of sale. 2  make sure the registration document is marked transferable on the front. 3  the seller whose name appears on the transferable registration must sign the back. If you have a title, transfer ownership to the buyer on the reverse side. Provide a bill of sale (Report of Sale or Transfer of a Non-Titled Motor Vehicle (TDMV 22A) and a properly filled out Verification of Vehicle Identification (TDMV 19A ). Transfers Frequently Asked Questions Registered dogs. Acquired dog from owner; Acquired dog from third party; Acquired dog from deceased; Dog not yet registered. Acquired from litter owner; Acquired from third party; Obtaining blank transfers; Fee schedule; I lost my dog's registration application that the litter owner gave me. How do I obtain another one? Ownership changes happen for a variety of reasons, including: 1  A member decides to leave the company. 2  The existing members want to bring in a new member. 3  A member dies, becomes disabled or divorces. 4  You decide sell the entire business. If your operating agreement does not include a buy-sell agreement, you should check your state statutes for guidance on how to transfer membership interests. You may be able to negotiate a buy-sell agreement or a written agreement to transfer ownership. In some states, you may have to dissolve the company if your operating agreement does not provide for ownership transfers. Since these actions can have long-term consequences for your business, it\u2019s wise to consult with a lawyer. There are some state differences regarding transfer of after-acquired title. Montana, Idaho, and Alaska allow transfer of after-acquired title using a Quitclaim Deed. In most states, a Quitclaim deed only transfers the interest owned by the seller at the time they executed the deed. Usually, any interest in the property acquired after the signing of the Quitclaim Deed does not pass to the buyer. The transfer should take place within 30 days of transfer of ownership. You should contact the vehicle owner and ensure that the transfer has been completed. All remaining underlying warranties should also be transferred to the new owner. Included are tips from AOPA experts on avoiding legal entanglements and making the whole sales process run smoothly. All of this information used as a checklist is the secret to a successful sale. The checklist includes logical sections such as the bill of sale, the moment of fund transfer, aircraft transfer, registration, and general information. These sections each include the necessary steps for that section in checklist format. Changing Vehicle Ownership - Getting a Car Title Transferred with the DMV. 1  Selling or buying a car. 2  Transfer to family. 3  Inheriting a vehicle. 4  Paying off a loan. 5  Gifting or donating a vehicle. 6  Making name corrections. Query: how long do i have to transfer ownership\n", "labels": "when you need to transfer ownership after you buy or get a vehicle as a gift, you have 15 days to transfer the ownership to your name.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-fd2be72828d74378a828bd266f8b7503"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: This material has been used ever since ancient times and has formed all over the world. Thanks to these stones, building materials of great quality can be formed, and they are mainly used as they are lightweight yet strong. Other buildings made out of oolitic limestone are The British Museum and St. Paul\u2019s Cathedral. Oolitic limestone was used to build the Pentagon as well as other buildings around the world, such as Buckingham Palace and the Empire State Building. Scientists have discovered that oolitic limestone is actually a material which was made out of microbes that existed 200 million years ago, at the time of the Jurassic era when dinosaurs were still present on the Earth. OOLITIC LIMESTONE. Oolitic limestone is a carbonate rock made up mostly of ooliths (or ooids) which are sand-sized carbonate particles that have concentric rings of CaCO 3. These rings are formed around grains of sand or shell fragments that were rolled around on the shallow sea floor, gathering layer after layer of limestone. How did oolitic limestone form? Previously, scientists thought that the ooids formed from grains rolled on the seafloor and then accumulated layers of sediment. \u201cOolitic limestone is a carbonate rock made up mostly of ooliths (or ooids) which are sand-sized carbonate particles that have concentric rings of CaCO3. These rings are formed around grains of sand or shell fragments that were rolled around on the shallow sea floor, gathering layer after layer of limestone,\u201d University College London gave an explanation on its website. Limestone is by definition a rock that contains at least 50% calcium carbonate in the form of calcite by weight. All limestones contain at least a few percent other materials. These can be small particles of quartz, feldspar, clay minerals, pyrite, siderite, and other minerals. Limestone is a sedimentary rock composed primarily of calcium carbonate (CaCO 3) in the form of the mineral calcite. It most commonly forms in clear, warm, shallow marine waters. It is usually an organic sedimentary rock that forms from the accumulation of shell, coral, algal, and fecal debris. Limestone is a sedimentary rock comprising at least 80% calcium carbonate (CaCO3). Limestones can be deposited in both marine and fresh water environments, the former being more common, and can take many forms such as those described below. Chalk is a pure, soft, well-jointed limestone composed primarily of the calcareous remains of micro-organisms called coccoliths and foraminifera. Pure white chalk contains more than 90% CaCO3 and is usually found in thick beds. In Britain it stretches from Yorkshire down to the famous cliffs of Dover. oolitic limestone Oolitic limestone is a carbonate rock made up mostly of ooliths (or ooids) which are sand-sized carbonate particles that have concentric rings of CaCO 3. These rings are formed around grains of sand or shell fragments that were rolled around on the shallow sea floor, gathering layer after layer of limestone. Portland limestone is an example of an oolitic limestone. This limestone formed in a shallow sea, rather like the modern Bahamas, near the end of the Jurassic period (~135 million years ago). The rock has an even structure rather like cod roe and it can therefore be cut or sculpted in any direction. Oolitic Limestone: A limestone composed mainly of calcium carbonate oolites, small spheres formed by the concentric precipitation of calcium carbonate on a sand grain or shell fragment. Travertine: A limestone that forms by evaporative precipitation, often in a cave, to produce formations such as stalactites, stalagmites, and flowstone. Query: how is oolitic limestone formed\n", "labels": "Oolitic limestone is actually a material which was made out of microbes that existed 200 million years ago.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-57ae4d2cc59c4d9391e5dde72228b210"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: After a long walk or an intense workout, your muscles have expended their available energy stores and need carbohydrates and protein to help them replenish and rebuild. Even if you are walking only to burn off calories, if you have put in a long session of endurance walking of two hours or more you should have a recovery drink or snack. Medical experts have found that if you walk just 100 steps after you eat your dinner \u2013 or any other meal \u2013 and you\u2019ll notice a huge improvement in your overall wellbeing. Walking and Digestion. If you feel stuffed after you eat a meal, then get to walking. Digestion is the process of breaking down the food that you have consumed. It is put into action as soon as you finish eating and it can be revved up by walking. How long after eating should I wait to do my mile walk? Q: How long after eating should I wait to do my mile walk? Today I waited 30 minutes, did my mile, took my sugar after, and was high at 197. Waiting 30-60 minutes after eating before taking a walk works well for most people with diabetes. Posted 08 May 2009 - 12:45 PM. A potty walk or a stroll, even if long, doesn't count as strenuous exercise. You can take your dog for a potty walk or gentle stroll before/after eating. A power walk counts as strenuous exercise. You can take your dog for strenuous exercise 2 hours after eating. My rule for feeding after exercise is to wait until the dog is recovered -- no longer panting, etc. Really strenuous exercise like a hard run, the 2-hour rule is a good one. Your body needs the energy to properly digest food. So to get the most out of the nutrients you consume and your workout, eat before exercising or 30 mins after fruit, two hours after veggies, three hours after grains four hours after meats and poultry. In the second phase, 30 days after the first phase, participants were told to take a 10-minute walk no later than five minutes after each meal. During both phases, blood sugar was monitored. Walking after meals lowered blood sugar levels more effectively among the participants, the study found. A slow five minute walk will not hurt her. But, definitely NO overexertion, no running, no jogging, no jumping... nothing more than a short/calm walk after eating, unless you wait for at least 2-3 hours after she feeds, before doing so. As a rule, don't feed for an hour after coming in from exercise (and that includes a long car journey, to allow the system to settle down), and leave it 2 hours after feeding before exercising. A study published today in Diabetes Care found that three short walks each day after meals were as effective at reducing blood sugar over 24 hours as a single 45-minute walk at the same moderate pace. Even better, taking an evening constitutional was found to be much more effective at lowering blood sugar following supper. Factors to Consider When Eating Before a Walk. The timing and size of your meals before a walking workout makes a difference. If you\u2019re consuming a large meal, wait for about three to four hours before walking. If you consume a small meal, wait between two and three hours before you set off. However, after a small snack, you should be able to go walking within less than an hour. Keep in mind that these ranges are general and can vary from person to person. Your best option is to try various time periods to see which one works best for you. Possible Effects of Eating Before a Walk The researchers observed that the evening post-meal walk was the most effective in lowering blood sugar levels for a full 24 hours. The typical exaggerated rise in blood sugar after supper\u2014which often lasts well into the night and early morning\u2014was curbed significantly as soon as the participants started to walk on the treadmill, the study authors said. Query: how long after eating to walk\n", "labels": "Wait for about three to four hours before walking if you\u2019re consuming a large meal, two and three hours if you consume a small meal and less than an hour after a small snack.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-97cc2468a66d4c8499df26c7df8062d1"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The Universe Today readers are always asking great questions. \u201dHow long is a day on Jupiter?\u201d, is one of them. A day on Jupiter, also known as the sidereal rotation period, lasts 9.92496 hours. Jupiter is the fastest rotating body in our Solar System. Determining the length of a day on Jupiter was very difficult, because, unlike the terrestrial planets, it does not have surface features that scientists could use to determine its rotational speed. How long is a day on other planets by Colm Byrne on January 3, 2013 When we think of a day on Earth we measure it in a period of 24 hours, actually it takes 23 hours and 56 minutes and 4 seconds to rotate on it\u2019s axis. So, if we measure a day on each planet compared to Earth it kind of makes it easier. The Jovian day is 9.925 Earth hours in length The Jovian year is 11.862 Earth years in length Earth overtakes Jupiter every 398.9 days as it orbits the Sun, a duration called the synodic period. As it does so, Jupiter appears to undergo retrograde motion with respect to the background stars. NASA\u2019s Ask an Astronomer also has an answer for the question, \u201chow long is a day on Jupiter?\u201d And a cool video of Jupiter\u2019s rotation. We\u2019ve also recorded an entire show just on Jupiter for Astronomy Cast. Listen to it here, Episode 56: Jupiter, and Episode 57: Jupiter\u2019s Moons. Best Answer: A Jupiter day is 0.41354 as long as our day or about 10 hours. The year is 4332.71 earth days long or about 12 earth years. A month is determined by the revolution of our moon around the earth. Jupiter has many moons so it does not have months like we do. The Universe Today readers are always asking great questions. \u201dHow long is a day on Jupiter?\u201d, is one of them. A day on Jupiter, also known as the sidereal rotation period, lasts 9.92496 hours. Jupiter is the fastest rotating body in our Solar System. Determining the length of a day on Jupiter was very difficult, [\u2026] How Long Is A Day On Saturn? Date: May 3, 2006 Source: Particle Physics & Astronomy Research Council Summary: Measuring the rotation period of a rocky planet like the Earth is easy, but similar measurements for planets made of gas, such as Saturn, pose problems. Researchers from JPL, Imperial College London and UCLA present new results in this week's Nature (4th May 2006) that may solve the mystery. Using the magnetometer instrument on Cassini, they have found a clear period in the magnetic field of the planet that they believe indicates a day of 10 hours and 47 minutes. How long is a day on other planets. by Colm Byrne on January 3, 2013. When we think of a day on Earth we measure it in a period of 24 hours, actually it takes 23 hours and 56 minutes and 4 seconds to rotate on it\u2019s axis. So, if we measure a day on each planet compared to Earth it kind of makes it easier. Some of the planets rotate and spin slow and some rotate and spin fast so you can see a big difference as they orbit the Sun in our solar system. Mercury \u2013 58 days and 15 hours. Venus \u2013 243 Earth days. Earth \u2013 23 hours and 56 minutes This is a whole 8 minutes slower than NASA Voyager results from the early 1980s, and slower than previous estimates from another Cassini instrument. The magnetometer results provide the best estimate of the Saturn day to date, because it can see deep inside Saturn. Planets rotate around their spin axes as they orbit about the Sun. Rocky planets like the Earth and Mars have rotation periods that remain quite constant and are easy to measure because we can see the surfaces rotate. Mercury \u2013 58 days and 15 hours. Venus \u2013 243 Earth days. Earth \u2013 23 hours and 56 minutes. Mars \u2013 24 hours 39 minutes and 35 seconds. Jupiter \u2013 9.9 Earth hours. Saturn \u2013 10 hours 39 minutes and 24 seconds. Uranus \u2013 17 hours 14 minutes and 24 seconds. Neptune \u2013 16 hours 6 minutes and 36 seconds. Pluto \u2013 6.39 Earth days Query: how long is a day on jupiter in earth days\n", "labels": "Jupiter is 9.9 Earth hours.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-6102075a4fdc485bb21bd820377184f2"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: They escaped in the darkness by swimming across the Alabama River near the mouth of Valley Creek (where the present day Battle of Selma Reenactment is held.) The Union troops looted the city that night and burned many businesses and private residences. How far is Selma from Tuscaloosa? The KGB Agent answer: The distance fom Tuscaloosa, AL to Selma, AL is 80.1 miles if you take Route AL-14 E or a total of 1 hour 37 mins of driving. There are 63.93 miles from Selma to Tuscaloosa in northwest direction and 78 miles (125.53 kilometers) by car, following the SR 219 route. Selma and Tuscaloosa are 1 hour 56 mins far apart, if you drive non-stop. This is the fastest route from Selma, AL to Tuscaloosa, AL. The halfway point is Centreville, AL. Selma, AL and Tuscaloosa, AL are in the same time zone (Central Daylight Time). Current time in both locations is 12:07 pm. Hence you might also want to know the Travel Time from Birmingham al to Selma al. This will help you estimate how much time you will spend travelling for the distance from Birmingham al to Selma al. Want to better plan this Birmingham al Selma al distance? Get to know how to Travel from Birmingham al to Selma al. This page is designed to give you a good indication of how far it is from Selma to Tuscaloosa from two perspectives, road and straight line. Calculated distances from Selma to Tuscaloosa are a guide measure only displaying the shortest distance as the crow flies, calculated via longitudinal and latitudinal points for two distinct locations on our earth. A car with an MPG of will need 3.57 gallons of gas to cover the route between Tuscaloosa, AL and Selma, AL. The estimated cost of gas to go from Tuscaloosa to Selma is $9.31. During the route, an average car will release 69.85 pounds of CO 2 to the atmosphere. Your carbon footprint is 0.91 pounds of CO 2 per mile. Answers.com \u00ae WikiAnswers \u00ae Categories Travel & Places Countries, States, and Cities United States of America Alabama How far is Tuscaloosa Alabama from Selma Alabama? Distance, Gas Consumption and Emission Notes. Distance from Tuscaloosa, AL to Selma, AL is 77Miles or 124 Km. You can get this distance about 1 hour 28 mins. If you want to planning travel with plane for 64 Miles or 103 Km, You can get this distance about 38 mins . A car with an average MPG will needs 3.56 gallons of gas to get the route between these points. Distance Between Cities. Route Map from Tuscaloosa, AL to Selma, AL. Optimal route map between Tuscaloosa, AL and Selma, AL. This route will be about 77 Miles. The driving route information(distance, estimated time, directions), flight route, traffic information and print the map features are placed on the top right corner of the map. The bus ride for No. 3 Georgia was about 75 minutes from its campus in Athens to the capital city. No. 4 Alabama spent less time than that in the air, flying from Tuscaloosa to what has become something of a home away from home for the Crimson Tide. Query: how far away is tuscaloosa, alabama from selma, alabama?\n", "labels": "The distance from Tuscaloosa, Alabama to Selma, Alabama is 80.1 miles.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-8938201fb89a4ba8bc0f1d06679aea1c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Learn if you should buy theme park tickets in advance for Walt Disney World Resort in Florida. You may book your dining reservations up to 180 days in advance, and I highly recommend that you do so if you want to dine at any particular restaurants. There are a few that actually book up 180 days in advance and people flood the phone lines to book. Cinderella's Royal table is a Prime example. Share the Magic: 1  Click to share on Facebook (Opens in new window) 2  Click to share on Twitter (Opens in new window) 3  Click to share on Pinterest (Opens in new window) 4  Click to share on Google+ (Opens in new window) 5  Click to share on Tumblr (Opens in new window) 6  Click to share on Reddit (Opens in new window) Important Dates to Remember When Booking Your Walt Disney World Vacation Package. 1  With a Walt Disney World vacation on your horizon, keeping track of important booking windows, reservations and customization deadlines may at times feel like a full-time job. On the other hand those going in Fall of 2017 will be able to jump in early and book their holiday a generous 16 months in advance. Those hoping to book airfare as part of their Walt Disney World package should also take note that flights aren\u2019t bookable through Disney until 330 days in advance. Guests do have the option of booking their hotel and tickets and adding on flights at the 330 day mark. For assistance with your Walt Disney World visit, please call (407) 939-5277. 7:00 AM to 11:00 PM Eastern Time. Guests under 18 years of age must have parent or guardian permission to call. How far in advance should I book a Disney Cruise Line vacation? Advance booking is the best way to get a great price and your choice of available staterooms. A. Yes. While you can purchase theme park tickets once you arrive at Walt Disney World Resort, we do recommend that you buy tickets in advance. To make your vacation planning as easy as possible, we suggest one of our Magic Your Way vacation packages, which include both your Disney Resort hotel stay and theme park admission. You can also customize these flexible packages to include airfare, transportation options and a Disney dining plan. Question: How far in advance can I book my trip to Disney World? Answer: Is there a Walt Disney World Holiday in your slightly distant future? Are you waiting eagerly to book your holiday for 2017 onward? If you\u2019re a forward planner like me, its good to know how soon in advance you can actually start planning your trip to the Mouse. Here are the ins and outs of making advance reservations at Disney World. When it comes to Walt Disney World resort rooms they can be purchased up to 499 days in advance. This is good news for those who plan on staying on property but who don\u2019t want to commit to booking a whole package. Walt Disney World vacation packages are also available 499 days in advance technically. The only catch is that Disney doesn\u2019t always release them within that window for instance, packages for 2017 are due to go on sale June 21, 2016. If you have little kids and want them to go to the character breakfasts and stuff then I would say 6 months is a good amount of time. Also where you want to stay is another factor. If you want to stay on Disney property then I would book a room around 6 months in advance to make sure you get exactly what you want. Query: how long in advance should you book disney world\n", "labels": "You should book disney world 16 months in advance.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-464367b0d1354e8a9a92a48623138d2c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The introduction of larger turbine aircraft that can. operate at much higher altitudes than was previously \u201cnormally\u201d used in parachuting over the. last few years has made \u201chigh altitude\u201d or parachute descents over 13000ft AMSL become a. normal activity in New Zealand. increasing number of parachute jumps are in this area. The difference and effects of altitude between 13000ft and 20000ft AMSL is significant and. the question is raised as to where in this range is the risk significantly increased. last few years has made \u201chigh altitude\u201d or parachute descents over 13000ft AMSL become a normal activity in New Zealand. There are two pieces of legislation that primarily cover this activity, these being; For those not using an AAD maybe your S&TA will agree to waive the requirement, but is 500\u2032 that much of a difference? Phillip Bell Says: September 5, 2013 at 8:37 pm | Reply. Nothing here to address pull altitude for AFF Instructors. I have to assume USPA will increase pull altitude for AFFIs to 2,500 feet. I\u2019d like the freedom to go a bit lower to save my student if it ever comes to that. Queue all the armchair quarterbacks to tell me what a crappy AFFI I am for ever needing to go that low, in 3 .. 2 .. 1 .. 25 Responses to \u201cUSPA Raises Minimum Deployment Altitude\u201d. 1  Zach Says: So for the sake of the makers of an optional piece of equipment\u2026.. 2  Ron Says: So the USPA *knows* there is an issue with rigs and reserves and instead of fixing the problem, caves to pressure from the manufacturer. 3  Julius Says: 25 Responses to \u201cUSPA Raises Minimum Deployment Altitude\u201d Zach Says: August 3, 2013 at 6:26 pm | Reply. So for the sake of the makers of an optional piece of equipment\u2026.. Who don\u2019t have the guts to say \u201cour product activates at 1000 feet, when using our product we recommend pulling above 2500.\u201d uspa makes a rule for all of the members. High Altitude Parachute Descents Page 6 of 26 New Zealand Parachute Industry Association Ltd \u00a9 Discussion Document High Altitude Tandems become severely impaired usually within minutes or even seconds, depending on the altitude. However it should be noted that individual tolerances vary markedly. The length of time an USPA Raises Minimum Deployment Altitude by Ed Scott One of the actions arising from last week\u2019s meeting of the USPA Board will raise the minimum deployment altitude for C- and D-license holders in the Basic Safety Requirements from the current 2,000 feet to 2,500 feet. The board had discussed this idea at previous meetings, and it has now come to the conclusion that the change will save lives. The altitude - the effects of altitude on the human body and parachute equipment. ............ 5. Altitude and hypoxia. .................................................................................................... 5. The opening of the parachute- the effects on the equipment at altitude and the human body. 25 Responses to \u201cUSPA Raises Minimum Deployment Altitude\u201d. Zach Says: So for the sake of the makers of an optional piece of equipment\u2026.. Who don\u2019t have the guts to say \u201cour product activates at 1000 feet, when using our product we recommend pulling above 2500.\u201d uspa makes a rule for all of the members. Query: at what altitude should you pull your parachute\n", "labels": "You should pull your parachute altitude between 13000ft and 20000ft.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ae35ad6c2fbe4fb09e08e3c2dd92bfc0"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Step 1, Boil boneless, skinless chicken breasts for 15 to 20 minutes. [1] Thick chicken breasts will need about 20 minutes, while thinner, flatter pieces and smaller chicken breast halves will only need about 15 minutes.Step 2, Boil bone-in chicken breasts for 30 minutes. The skin and bone adds thickness to the chicken breasts, essentially doubling the amount of time they need to cook.Step 3, Cook skinless, boneless chicken tenderloins for 10 minutes or less. These strips of ... This is more of a method than a recipe, but this is how I always make wings now. I find boiling them first helps get rid of more of the fat, and they get crispier in the oven. Add enough cooking liquid to cover the chicken. If desired, add any other ingredients for flavoring the liquid and chicken. Bring to boiling on medium-high heat; reduce the heat. Cover the pan and simmer until the chicken is no longer pink (170 degrees F). Bone-in, skin-on chicken breasts: cook about 30 minutes A: Boiling chilled chicken legs will take 40 to 50 minutes when simmered over a low flame. After the water is brought to a boil, it should then be turned down to a simmer. The chicken can be cooked from frozen on the stove or in the oven; however, cooking times are usually 50 percent longer for frozen chicken. Continue Reading Visit our site http://howtoboilchicken.net for more information on How Long Do You Boil Chicken.The most vital facet when taking into consideration How To Bo... We've been hard at work on the new YouTube, and it's better than ever. Place the chicken in a large stockpot and cover it with 1 or 2 inches of water or chicken stock. Step 2 Bring the water to a rolling boil and skim the froth that collects on the surface for about 5 minutes. Find out how to cook a whole chicken here. Knowing how long to roast a chicken is key -- here are the calculated exact cooking times by weight. 2-1/2 to 3 pounds: Roast at 375 degrees F for 1 to 1-1/4 hours 3 to 3-1/2 pounds: Roast at 375 degrees F for 1-1/4 to 1-1/2 hours First of all, if you need to boil chicken thighs, then take the time to season the boiling water 1st get some water in a very pan on high heat, once it boils add some salt, some shredded onions, herbs like rosemary or bay leaves and a few peppercorns enable it to boil for 10 minutes then cut back the warmth in order that it's at a simmer which implies that it's not rolling at a boil, however rather merely detonating a bubble each currently then on the surface - this mild heating are ... Chicken breast with bone and skin intact should poach in boiling liquid for about 30 minutes. Pieces of boneless and skinless breast that is cut into 2-inch pieces needs a cooking period of about 10 minutes. The boiling liquid used in poaching chicken can be water, chicken broth or any number of other liquids. How to Boil Chicken Breasts. Three Parts: Preparing The Chicken Boiling Chicken Breasts In Water Using Flavored Liquid Community Q&A. Boiling chicken breast is an easy way to add healthy protein to your meals. The key is to let the chicken breast boil for long enough that it cooks all the way through and isn't pink on the inside. In a Hurry? If your chicken breast is frozen, defrost it in a bowl of cold water or in the microwave before boiling. Query: how long you boil chicken\n", "labels": "You can boil chicken for 30 minutes.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-9baaa90a5b79419798b0a235d9eae194"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The list of signs and symptoms mentioned in various sources for Asteatotic eczema includes the 5 symptoms listed below: Fissured skin lesions. Sore skin lesions. Itchy skin lesions. Red skin lesions. Fine cracks in skin. Asteatotic dermatitis. Eczema>Atopic dermatitis/Eczema. (Atopic=allergy associated) (derm=skin, titis=inflammation) Key points. *is a common, chronic, pruritic (itching), inflammatory disease of the skin that flares and regresses. Asteatotic Eczema. Asteatotic eczema is a common skin condition seen on the elderly people. It is described as cracks on the skin surface and it was first identified by Dr. Brocq, French dermatologist. Extreme dryness is believed to cause this eczema and the rate of asteatotic eczema is high during winter season. Symptoms : The skin becomes totally dry forming several cracks on the upper surface. The skin becomes totally dry due to loss of natural oil and shows cracks. First described by Brocq in 1907, using the term eczema craquel\u00e9, asteatotic dermatitis is characterized by pruritic, dry, cracked, and polygonally fissured skin with irregular scaling. It most commonly occurs on the shins of elderly patients, but it may occur on the hands and the trunk. Asteatotic eczema is a term often applied to describe patients who have thin, dried, cracked-appearing skin, usually especially bad on the lower legs. Significant involvement of the palms and soles of the feet is not usual and may suggest a different condition such as fungal infection, scabies infestation, or allergic contact dermatitis. Signs And Symptoms Of Asteatotic Eczema Asteatotic eczema predominantly is seen on the lower leg, especially on the sheen area of the leg. However, this skin condition sometimes also occurs on other areas of the skin such as thighs, back, upper arm etc. Each type of eczema has specific characteristics and patterns of symptoms: 1  Atopic eczema (atopic dermatitis) \u2014 Atopic dermatitis appears as irritated, red, dry, crusted patches on the skin. If the skin becomes infected, it may develop a wet (weeping) look. Learn in-depth information on Asteatotic Eczema, its causes, symptoms, diagnosis, complications, treatment, prevention, and prognosis. Learn in-depth information on Asteatotic Eczema, its causes, symptoms, diagnosis, complications, treatment, prevention, and prognosis. Asteatotic eczema \u2014 This type usually occurs on the lower legs. It causes itching or stinging pain in areas of dry, cracked, reddened skin. There may or may not be tiny bumps. Asteatotic Eczema (Eczema Craquel\u00e9) 1  Print. 2  PDF. 3  Email. 4  Bookmark You must be signed in to bookmark pages. 5  Notes You must be signed into your pro account to make notes. 6  Listen Listen. 7  Translate Translate. Query: asteatotic eczema symptoms\n", "labels": "Symptoms of asteatotic eczema, fissured skin, sore skin, Itchy skin, Fine cracks in skin, thin, dried, cracked-appearing skin, usually especially bad on the lower legs.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-76230a3b48fa4f1dae519a2d0b13f4e2"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: If you see a likely candidate, click on VIEW FREE DETAILS and you will get the address as well as some names of people associated with the person you are searching. Thanks! Yes No Some oddities of the Royal Mail include: 1  A preference for the return address to be on the back of the envelope. 2  A Locality line that only some addresses have (between the street address and town/city.) 3  The full stops you are requested not to use in an address are periods. Postal Address Lookup with Google Maps With the Google Maps Lookup tool, you can quickly determine the approximate postal address of any location on the world map. Just drag the red marker anywhere on the Google Map and the address details (including the latitude & longitude) of that place will display in the pop-up window. If you want to replace your current email address with another one, simply add a new address and remove your How do I edit the billing address linked to my card? Here's how you can change the billing address for your debit or credit card: Click Wallet at the top of the page. Click the card to update. Click Update card. The format of the PBSA address is constructed using the street address of the Post Office where the P.O. Box is physically located. As an example, for ZIP Code 38027 the The purpose of this document is to provide information on how to determine if a Street-. Style address actually represents a Post Office Box address, designated as a P.O. Box\u2122 Street Address (PBSA). This document also describes how different mailing. Rural addresses that do not contain a civic address may require Additional Address Information. The additional address information should appear above the second-last line (rural route identifier and station information); see Figure 8. The use of street address meaning just the line with number and street name is (valid) jargon usage within a technical industry, but it's not so commonly understood that way by the general public. Address (geography) An address is a collection of information, presented in a mostly fixed format, used to give the location of a building, apartment, or other structure or a plot of land, generally using political boundaries and street names as references, along with other identifiers such as house or apartment numbers. Some addresses also contain special codes, such as a postal code, to make identification easier and aid in the routing of mail. In these cases, the street name will usually follow the house name. Such an address might read: Smith Cottage, Frog Lane, Barchester, Barsetshire, BZ9 9BA or Dunroamin, Emo, Co. Laois, Ireland (fictional examples). Query: how do you do street addresses\n", "labels": "The use of street address meaning just the line with number and street name is jargon usage within a technical industry, but it's not so commonly understood that way by the general public.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-72631b01288942c6951c188b25dfd9c0"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: You don't need to renew during the term of your military service if you're: 1  A member of the armed forces or National Guard on active duty. 2  A reservist called to duty for 180 days or more. 3  The spouse or dependent of an active member of the military. When to Renew Your FL Driver's License. Before your license expires, the Florida Department of Highway Safety and Motor Vehicles (DHSMV) will mail you a renewal notice telling you that it's time to renew. The DHSMV allows you to renew your valid FL driver's license up to 18 months before the expiration date. If your specific needs require an in-person visit, most, if not all, driver license services can be handled at your local DMV office. Varying DMV offices sometimes supply different types of services so you will need to check before your visit to make sure the DMV closest to you provides the service you require. Florida Licenses and ID. In the state of Florida, the Department of Driver Services (DMV) handles all your licensing and ID needs. Whether you need to apply for a new license, renew or replace an existing one, or change the address or name on your license, the DMV will help you. To get you jump-started on these procedures, invest in our Florida License Easy Guide, which contains helpful forms and links that will make your DMV experience a breeze. You will need to make an appointment at any Florida DMV office. This will save you time instead of spending hours in line. If successful your license will be delivered immediately. You may always stay up to date with the latest renewal laws and regulations by visiting the official Florida dmv renewal site. Whether you're applying to renew a Florida drivers license online, in person or by mail, you will be required to provide the following documents: 1  One primary Proof of Identification. 2  Two Proofs of Residency. 3  One Proof of Social Security Number. Home | Espa\u00f1ol | Driver License | Vehicle Tags & Titles | Florida Highway Patrol | Contact Us | Forms | Office Locations. I have never had a driver license anywhere before. I have had a driver license from another state or country. I am in the military and have a Florida driver license or ID card. To submit a name change to the Social Security Administration: 1  Contact your local Social Security office. 2  Provide proof of your identity, legal presence and name change. Additional proof may be requested. Renewing Your Florida DMV Drivers License In the state of Florida, Class E (non-commercial) driver licenses are valid for 8 years. You are allowed to renew your license up to 18 months before it expires, and you will pay a renewal fee of $48. How Do I Renew My License? If you hold a Florida driver license that was issued in 2002 or later, you can renew in one of three ways: In person at your local driver license office; Online; By mail When renewing your FL DMV license, you will need to present documents that prove your identity, Social Security Number and state residence, such as: 1  Your current driver's license. 2  Your Social Security card. 3  A utility bill that is in your name. Query: how long before i can renew my florida drivers license\n", "labels": "The Florida Department of Highway Safety and Motor Vehicles allows you to renew your valid FL driver's license up to 18 months before the expiration date.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-484457a46ca9438ea86a45ccd781dc20"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Lance Corporal is the 3rd rank in the United States Marine Corps , ranking above Private First Class and directly below Corporal. A lance corporal is a Junior Enlisted at DoD paygrade E-3, with a starting monthly pay of $1,886. Marines generally receive a promotion to Lance Corporal after one or more years of service. Once the rank of Lance Corporal has been achieved, they may qualify for promotion to Corporal by receiving a qualifying score on a composite skills and leadership assessment. The paper reported that 92 percent of lance corporals who had spent a year at their current rate didn't have the composite, or cutting, score they needed to be promoted. -- Hope Hodge Seck can be reached at hope.seck@milit ary.com. The paper reported that 92 percent of lance corporals who had spent a year at their current rate didn't have the composite, or cutting, score they needed to be promoted.-- Hope Hodge Seck can be reached at hope.seck@milit ary.com. Follow her on Twitter at @HopeSeck. Show Full Article At minimum you still have to meet time-in-service and time-in-grade requirements. To make E-4 requires at least 12 months in the service and 8 months as an E-3. To make sergeant (E-5) requires at least 24 months in the service and 12 months as an E4-. Promotion to E-2 and E-3 generally comes more or less automatically so long as you do a competent job and stay out of trouble. To make E-2 you must have been in the service for at least 6 months. To make E-3 you must have been in the service for at least 9 months and in the E-2 grade for at least 8 months. Promotions to these ranks aren't competitive, meaning your promotion doesn't come at somebody else's expense. A Lance Corporal is most often promoted from Private First Class (PFC), although promotion from lower paygrades may occur with sufficient display of leadership and experience. If the Marine entered the Navy as an E-2, then they are all but guaranteed to promote to E-3 after nine months. While this will result in longer promotion waits for many lance corporals, it could have a benefit for corporals looking to make sergeant: Previously, they needed to have reached the 12-month mark at the start of the quarter in which they want to be promoted. Marine Corps sergeants have a pay grade of E-5, with the E standing for enlisted. To make sergeant you must climb through the lower ranks: Private (E-1), private first class (E-2), lance corporal (E-3) and corporal (E-4). A new change to Marine Corps policy will require some Marines to wait longer before they are eligible for promotion. The new guidelines stipulate that, as of April 1, Marine lance corporals and corporals must spend 12 months in their current rank before they can be looked at for promotion to corporal or sergeant. The current rules require just eight months' time-in-grade for lance corporals, though corporals must already serve 12 months in their rank before promotion to sergeant. Query: how long do you have to be a lance corporal for promotion\n", "labels": "After one or more years of service you have to be a lance corporal for promotion.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-04cc10a0151b4ea28379e4f2815a7d68"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: If you are a permanent resident whose 10-year green card has expired or will expire within the next 6 months, you may begin the renewal process by: 1  Online E-Filing Form I-90, Application to Replace Permanent Resident Card. 2  Filing a paper Form I-90, Application to Replace Permanent Resident Card by mail. The amount of time to renew a green card ranges from four months to a little more than seven months, depending on the service center. There are four main services centers, with Vermont having the... The amount of time to renew a green card ranges from four months to a little more than seven months, depending on the service center. how long does it take to get your green card renewed? what is the quickest way to get your green card renewed, I think you have to do it on line or are there other options maybe quicker does anyone know...? would a lawyer do it quicker but charge alot or is it all done on line has anyone renewed theirs that could tell me how long it took them please and what do... Update: well mine expires in 3 months have i left it too late to apply. I am here in the usa. Update 2: well mine expires in 3 months have i left it too late to apply. I am here in the usa. I applied for a reentry permit and was waiting to hear back before I applied for my green card renewal. There is a possibility that you will have to begin the process again if you let your green card expire. This will include paying all applicable fees. The process is different for conditional residents that have a 2-year card. You must get the conditions removed within 90 days of your card's expiration date. That process, too, can be done online. What Happens After Filing I-90, Application to Replace Permanent Resident Card Knowing that your green card has expired (or worse yet it was lost/stolen) can be an unsettling feeling. You\u2019re probably anxious to know what happens after filing Form I-90, Application to Replace Permanent Resident Card, and how long it will take to receive your new green card. Although the steps that take place are fairly consistent, the time frame can vary based on the USCIS case load, the USCIS office where you filed, and your ability to properly file an accurately prepared Form I-90 without errors or omissions. As an applicant for green card renewal/replacement, you\u2019re probably anxious to know what happens after filing I-90 and how long it will take. At a minimum, you should allow 3 months for processing, if not longer. You can monitor the status of your case, whether card renewal or replacement, by going to: https://egov.uscis.gov/cris/Dashboard.do I would caution you not to hold USCIS to the processing time they list. My experience has been that they usually take longer. You should not file Form I-90 for a green card renewal earlier than six months before the expiration date; USCIS may reject your application and mail it back to you. Use the Green Card Renewal Calculator to determine when to file your application and get a helpful email reminder. Some older green cards do not have an For asylum applications filed on or after April 1, 1997, the Immigration and Nationality Act (INA) states that the initial interview should take place within 45 days after the date the application is filed. Warning: in_array() expects parameter 2 to be array, string given in /hermes/bosnaweb28a/b247/dot.rhanus/public_html/wp-content/plugins/allmywebneeds-amwn-theme-companion-2cee86dad03d/lib/class.Hooks.php on line 121. Query: how long does it take to have your green card renewed\n", "labels": "It takes from four months to a little more than seven months to have your green card renewed.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-b51f2548846f4d348952b330f9a1cad9"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The peel begins by cleansing the skin thoroughly to remove all oil and debris. (no make-up should be worn to the office). The peeling agent is then applied evenly to the skin surface with Q-tips or with sterile gauze. This is then rapidly neutralized after several minutes with another solution. Dermatologists use chemical peels to do just this. A chemical peel can diminish many signs of aging on the face as well as the hands, neck, and chest. Chemical peels also treat some skin conditions. Dermatologists use chemical peels to treat some types of acne and conditions that discolor the skin. Whether you receive a chemical peel to diminish signs of aging or treat a skin condition, you can see: Fewer lines and wrinkles. More even skin color. Brighter complexion. Smoother skin. Some chemical peels require downtime. Uses: Dermatologists use chemical peels to treat: Acne (some types). Age spots. Your skin type, your skin care before and after the peel, the doctor's level of experience, and your lifestyle after treatment can also affect the results. Some types of skin problems respond better to a chemical peel than others. Some people don't peel at all, even 3-4 days after they get the TCA peel. This probably means that the peel wasn't strong enough for your skin. If this is the case, you can get another TCA peel done on day 5. This actually happened to me when I got an 8% TCA peel. How long does it take? AHA and TCA peels for the full face generally take 10 to 15 minutes. Full-face Phenol peels may take between one and two hours. Phenol peels for small portions of the face, such as the upper lip, may take only 10 to 15 minutes. Go to TOP. Where will the procedure be performed? The chemical peel is a procedure where a chemical solution is applied to the skin that makes the top layers of skin \u201cblister\u201d and peel away, revealing newer skin underneath. A chemical peel usually involves approximately 5 to 7 days for recovery time. The results may last for at least a year or more and with continued sun protection far longer. The results last depending upon how deeply the skin was treated. Continue to use 50-SPF sunscreen after each cleansing treatment. The face will be bright red for 7 to 10 days following a peel. You can usually apply makeup again from 7 days to 2 weeks after a peel to camouflage the redness. Avoid the sun for at least 2 months following a chemical peel. Take ibuprofen to dull any pain that might occur after a chemical peel. How long it takes a chemical peel to heal depends on the type of chemical peel. More Info: Chemical peels are categorized into three subgroups, which is used depends on the severity of the skin issue. The stronger the chemical used in the procedure, the deeper the peel, and subsequently the longer the healing time. Glycolic Acid Peel After a Medium-depth Chemical Peel treatment, you can expect mild swelling, redness, crusting/scabbing, cracking, flaking, and peeling. Often skin may also turn a darker shade and become stiff before it begins the peeling process. The downtime before your skin is restored can be anywhere from 5 to 10 days depending on how quickly your skin heals. How you take care of your skin after you finish peeling is as important as how you take care of your skin during the TCA peel. Two weeks after you finish completely peeling, you can resume any AHAs, BHAs, or retinoid treatment products. Query: how long does it take your face to peel after a chemical peel\n", "labels": "The downtime before your skin is restored can be anywhere from 5 to 10 days depending on how quickly your skin heals.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-7871a1901524494ab4bcbc4d98965314"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Manager Self-Service is the use of software and the corporate network to automate paper-based human resource processes that require a manager's approval, record-keeping, or input, and processes that support the manager's job. The process of analyzing the tasks necessary for the production of a product or service, prior to allocating and assigning these tasks to a particular job category or person. HR ch. 4 26 terms 3. Briefly describe the task environment and its four primary sectors. ANSWER: The task environment is the portion of the external environment that directly influences the organization's operations and performance. The task environment is made up of customers, competitors, suppliers, and the labor market. These sectors typically conduct day-to-day transactions with the organization. Level: 2 Page: 88-89 Statement (I) pertains to the mega environment of a firm and hence is not true. Statement (IV) is not true as a firm may not be able to directly influence its mega environment, but it can certainly influenceits task environment. Upvote (2) Downvote Reply (0) Report. Increasing the # of tasks a worker performs, with all of the tasks at the same level of responsibility. Different than Job Enrichment since it is not increasing the level of responsibility. Good for victims of job burnout. Factors external to the organizations have been primarily the focus of management as a discipline. Answer: False Level: 2 Page: 82 Type: F. 3. The two layers of an organization's external environment are the general environment and the task environment. Answer: True Level: 1 Page: 82 Type: F. 4. The outer layer, the general environment, is widely dispersed and affects organizations directly. Answer: False Level: 1 Page: 83 Type: F. 5. Two important sectors of the economic dimension of a firm's general environment are customers and competitors. Answer: False Level: 2 Page: 83 Type: F. 6. Current employees, management, and especially corporate culture are part of an organization's internal environment. As few as one, like a President, or as many as say, 75, which might be the case with machine operators in a large firm. One is the minimum but the maximum has no practical limit. The job exists, NOT as the job should exist. Most often that duty is assigned to industrial engineers, methods analysts, or others. Briefly describe the task environment and its four primary sectors answer: The task environment is the portion of the external environment that directly influences the organization's operations and performance. The task environment is made up of customers, competitors, suppliers, and the labor market. III. As it depends largely on the products and services offered by the firm and its business location, it may vary from firm to firm. IV. While a firm may not be able to directly influence its task environment, it can certainly influence its mega environment. A process of determining the specific tasks to be performed, the methods used in performing these tasks, and how the job relates to other work in an organization. Query: how is a firm's task environment different quizlet\n", "labels": "The task environment is the portion of the external environment that directly influences the organization's operations and performance. The task environment is made up of customers, competitors, suppliers, and the labor market. These sectors typically conduct day-to-day transactions with the organization.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-7dc1f2d3b12c414c9ee9a37f45737f68"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: On the contrary, sometimes a woman may believe she is having implantation bleeding, when in fact it is simply a period`s first day or just early menses. The best way to find out the real cause of spotting is to know how long implantation bleeding may last and to compare it with the period`s duration. What is Implantation Bleeding? Implantation bleeding is a common process, during which the embryo attaches to the lining inside the woman\u2019s uterus. Often, this bleeding happens between the 6th and 12th days after the embryo has formed, or somewhere between the 2nd and 7th days before period. Learn how long a normal period should last and when to call your doctor. Across the board, our answer is probably Too Long.. But here's a quick guide to how long a typical period lasts and what factors can change the length of your period. You period can last for over 7 days if you are using an hormonal birth control pill. And it can also be shorter and lighter. HOW LONG DOES A PERIOD LAST FOR A 12 YEAR OLD. As a 12 year old or a teenager, a period length between 2 to 7 days is normal and nothing to worry about. Inform your doctor of any sudden menstrual cycle changes. HOW LONG SHOULD A PERIOD LAST BEFORE GOING TO THE DOCTOR. If your period is over 7 or 8 days, you may want to see a doctor to get checked. The Average Length of a Period. A woman's menstrual cycle lasts all month, but her period is the specific time period that happens when the uterus starts to shed its old lining. The start of the period is marked by a sudden drop in female sex hormones, and then a woman starts to bleed. How Long Does A Period normally last. Normally a period will last for 3-5 days. But when a girl first starts her period, her menstruation will be irregular. It can be as short as 2 days or as long as 7 days which is fine as well. After a year your period will become regular. Let us dive in to understand the period cycle a bit more. Shall we? how long should a period last before going to the doctor If your period is over 7 or 8 days, you may want to see a doctor to get checked. Also if your period constantly last for only 1-2 days, it is recommended you speak to your doctor. The woman who keeps close watch on her menstrual cycle is more likely to distinguish implantation bleeding from pre-period symptoms, especially if she has a spotty day several days before her normal period begins. The length of time during which you may \u201csee\u201d it will depend on how much blood was released in the process of egg attachment and how long it takes for your body to get rid of it. In most cases women pass all of it within a couple of hours, though, in some extreme cases bleeding may last even two days. how long does a period last for a 12 year old As a 12 year old or a teenager, a period length between 2 to 7 days is normal and nothing to worry about. Inform your doctor of any sudden menstrual cycle changes. Once you are certain that you are experiencing implantation bleeding instead of your period, if you notice that it is lasting too long or you have pain and an increase in bloody discharge, you need to contact your doctor. You may be having a miscarriage or an ectopic pregnancy. Query: how long is a period last\n", "labels": "Normally a period will last for 3 to 5 days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-1f57cf43f12d465294ba4f84dcbd5614"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How to get legal copies of professional photographs: 1  Contact the photographer/copyright owner. 2  Check both the front and back of a print for a copyright notice. 3  Use the Photographer Registry Web site to locate a photographer/copyright owner at www.PhotographerRegistry.com, so you can obtain reproductions or permission. When it comes to photographs, copyright law has a long-standing deference to permit a photographer control over the first time an image is made public. In this discussion, we\u2019ll assume that you\u2019re not hacking computer systems or digging through rubbish bins looking for non-public images. The exclusive rights of the copyright owner are not unlimited. The copyright law establishes some limitations on these rights. One of the most important limitations on the exclusive rights is the doctrine of Fair Use. The Fair Use doctrine allows limited copying of copyrighted works for educational and research purposes. Those factors are: 1  the purpose and character of one's use. 2  the nature of the copyrighted work. 3  what amount and proportion of the whole work was taken, and. 4  the effect of the use upon the potential market for or value of the copyrighted work. Before 1989, United States law required the use of a copyright notice, consisting of the copyright symbol (\u00a9, the letter C inside a circle), the abbreviation Copr., or the word Copyright, followed by the year of the first publication of the work and the name of the copyright holder. If the work was published between 1923 and 1963 and it was renewed, the copyright lasts 95 years from the date of first publication. If the work was published between 1964 and 1977, the copyright lasts for 95 years from the date of publication. How long does the copyright last on a picture? The minimum term of protection is the life of the creator plus 50 years; the US and some other countries have extended this to life plus 70 years. Edit In addition, copyright, in most cases, does not prohibit one from acts such as modifying, defacing, or destroying his or her own legitimately obtained copy of a copyrighted work, so long as duplication is not involved. Best Answer: In general it is the life of the photographer plus 70 years. As to finding the photographer - if you know the name etc then search locally on that. made a good attempt to find the photographer then the lab should allow copies. Explain the situation to them. For works made for hire, and for anonymous and pseudonymous works (unless the author's identity is revealed in Copyright Office records), the duration of copyright will be 95 years from publication or 120 years from creation, whichever is shorter. Works Originally Created on or after January 1st, 1978. Query: how long are copyrights for photos good for?\n", "labels": "Copyrights for photos lasts for the life of the creator plus 50 years and the US and some other countries have extended this to life plus 70 years.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-3498d0d2ecc547b486bdf1fabf30ccda"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: During the prodomal phase of rabies, which lasts between two to three days, your dog may appear anxious, nervous, standoffish and feverish. She may lick her bite wound repeatedly. Paralytic Phase. Some pets enter a paralytic stage roughly two to four days after rabies symptoms first appear. The duration of immunity for rabies vaccine, canine distemper vaccine, canine parvovirus vaccine, feline panleukopenia vaccine, feline rhinotracheitis, feline calicivirus, have all been shown to last a minimum of 7 years by serology (measuring blood antibody levels) for rabies and challenge studies for all the rest. 4. Don\u2019t vaccinate against rabies within three weeks of other vaccinations or medication for parasites. Multiple vaccines given at once greatly increase the chance of reactions. Multiple vaccines are especially risky for small dogs. 5. Make sure your dog gets the correct vaccine Ask for a rabies vaccination exemption. If your dog has documented health problems, ask your vet to apply for a rabies vaccination extension or exemption. Many localities permit them even if state law doesn\u2019t specifically allow them. If your vet won\u2019t apply for an exemption, go elsewhere. A person who is exposed and has never been vaccinated against rabies should get 4 doses of rabies vaccine - one dose right away, and additional doses on the 3rd, 7th, and 14th days. They should also get another shot called Rabies Immune Globulin at the same time as the first dose. A person who has been previously vaccinated should get 2 doses of rabies vaccine - one right away and another on the 3rd day. Rabies Immune Globulin is not needed. Top of Page How long does a full course of the anti-rabies vaccine provide immunity for? Would it provide immunity for a year? What's the duration of immunity of Rabies vaccine in dogs? (1) A dog or cat vaccinated when under 1 year of age shall be revaccinated no later than 1 year later. (2) A dog or cat vaccinated when over 1 year of age with a vaccine producing immunity lasting 3 years shall be revaccinated no later than 3 years later and at least every 3 years thereafter. (3) A dog or cat vaccinated with a vaccine producing immunity lasting less than 3 years shall be revaccinated no later than 1 year later. Truth be told, rabies vaccines are considered very safe. Nonetheless, the reality is uncomfortable: more pets actually die of the consequences of being vaccinated than come down with the virus. Having said that, you might wonder how it\u2019s possible for me, or any veterinarian, to defend the use of this vaccine. Rabies shots are good for at least 5 years; however, most cities have by-laws that the dog should be given a shot more frequently, some insist on every year. 828.30 Rabies vaccination of dogs, cats, and ferrets.--. (1) All dogs, cats, and ferrets 4 months of age or older must be vaccinated by a licensed veterinarian against rabies with a vaccine that is licensed by the United States Department of Agriculture for use in those species. Query: how long are rabies shots good for dogs\n", "labels": "Rabies shots are good for at least 5 years for dogs.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e737b3eec903409fb6e7392938d74cb5"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: However, the Earth has been hit by many other large asteroids in the past and have barely registered as life destroyers. In order for an Asteroid to wipe out all life on Earth, it would need to be 60 miles wide according to scientists. Cold Extermination: One of Greatest Mass Extinctions Was Due to an Ice Age and Not to Earth's Warming. 1  Mar. 6, 2017 \u2014 The Earth has known several mass extinctions over the course of its history. 2  Aug. 24, 2016 \u2014 Extreme global warming 252 million years ago caused a severe mass extinction of life on Earth. Observations about human extinction. Milankovitch cycles describe the way that the earth moves and how the climatic changes vary depending on where the earth is in space. The orbital shape of the earth causes changes every 100,000 years. The axial tilt of the earth wobbles and alters the climate every 41 thousand years. A notable example is Mir, which hosted several long-duration missions of a year or more \u2014 including the longest single spaceflight duration of any human to date, 437 days, by Valeri Polyakov in 1994-95. The International Space Station launched its first piece Nov. 20, 1998 and has been continuously occupied by humans since Oct. 31, 2000. If you define \u201chuman\u201d as our own species, H. sapiens, then about 180,000 to 200,000 years ago. If you define \u201chuman\u201d as the entire genus Homo, then about 2.0 - 2.5 million years ago. If you define \u201chuman\u201d as the entire hominid line from the divergence with the Chimpanzee line, then about 6.0\u20137.0 million years ago. The Universe is 13.7B years old. The Earth has not existed since the moment the Universe was created and is about 4.5B years old and is made out the debris of two previous generation of stars. Life on Earth started shortly after the temperatures cooled down, about 3.7B years ago. Up until 600M years ago, life was predominantly single-celled organisms. From 600M years until now, the variety of life that we see evolved. Humans started to separate from the rest of the great apes about 7M years ago and we became modern humans 200k years ago. Even though evolution is taking place all around us, for many species the process operates so slowly that it is not observable except over thousands or hundreds of thousands of years -- much too long to witness in a human lifetime. Humans will NOT survive another 1,000 years on Earth, says Stephen Hawking: Physicist warns we must 'escape beyond our fragile planet'. Humans will not survive another 1,000 years on 'fragile' Earth, according to Professor Stephen Hawking. The renowned theoretical physicist believes that life on Earth is at an ever-increasing risk of being wiped out by a disaster, such as the increasing threat of artificial intelligence. Most of Earth's life as a habitable planet is over, according to researchers' calculations, which predict that in as little as 1.75 billion years, the planet's orbit will enter a hot zone that will scorch away its oceans. The report, which will be unveiled in Geneva, warns that the wasteful lifestyles of the rich nations are mainly responsible for the exploitation and depletion of natural wealth. Human consumption has doubled over the last 30 years and continues to accelerate by 1.5 per cent a year. Now WWF wants world leaders to use its findings to agree on specific actions to curb the population's impact on the planet. Query: how long will human life on earth last\n", "labels": "Humans will not survive another 1,000 years on 'fragile' Earth, according to Professor Stephen Hawking.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-f05750c3d01c4da29fa1ab345b19cd5b"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Do not allow your baby to crawl, walk around, or go to bed with the bottle. Doing so turns the bottle into a comfort item, may hinder two-handed development, and can lead to dental cavities. Offer the cup first, then the bottle. And it ends when the child no longer breastfeeds or takes a bottle. This process may last several weeks, a few months, or more than a year. Your baby may begin eating solid foods at about 6 months of age. At this point, you may want to offer cup-feeding to supplement breast- or bottle-feedings. How long does engorgement last? Fortunately, engorgement passes pretty quickly for most women. You can expect it to ease up in 24 to 48 hours if you're nursing well or pumping at least every two to three hours. If not treated, engorgement can take up to ten days to start to go away. Once the engorgement passes, your breasts will be softer, although still full of milk. If you're not nursing, it will probably get worse before it gets better. Here are some things you can do to reduce your chances of becoming engorged: 1  Breastfeed within two hours after birth if possible. (Your labor and delivery team should be able to help you with this.) 2  Nurse frequently \u2013 between eight and 12 times a day after the first 24 hours. The pain and discomfort from breast engorgement improve as your breasts stop making milk. You will likely feel better in 1 to 5 days. Home treatment, such as applying cold packs to the breasts, may relieve some of your symptoms. Don't worry -- the kind of fullness you feel in the beginning doesn't last, and your body is still making plenty of milk even if it doesn't feel that way. 7 Means of Relief It should only last for the first week or so, but engorgement can be painful for some women. Weaning is a gradual process. It starts when you begin giving solid food to your baby and ends when the child no longer breast - feeds or takes a bottle. This process may last a few months or more than a year.A rough outline of this process is as follows: Your baby begins eating solid foods at 4 to 6 months of age. Here are some things you can do to reduce your chances of becoming engorged: 1  Breastfeed within two hours after birth if possible. 2  Nurse frequently \u2013 between eight and 12 times a day after the first 24 hours. 3  Let your baby finish nursing on one breast before switching to other. Here's how you can make breastfeeding more comfortable and ease engorgement: 1  Just before nursing, place a warm compress on your breasts for a few minutes to get the milk flowing. 2  Nurse frequently, with no more than two to three hours between feedings. 3  While your baby is nursing, gently massage the breast he's on. Engorged breasts take place, because of the pressure of expanding cells, due to the new breast milk contained inside of them. Engorgement happens when the milk producing cells, are uncomfortably full. Engorgement is sometimes apparent in the areola and/or the breast; in one breast or in both breasts. (you may have just one engorged, sore swollen breast) Dealing with engorgement on top of having a new baby to care for, day and night, may be discouraging to a mother. The good news is, there are ways to treat breast engorgement. How Long does Engorgement Last? Nursing engorgement is temporary and usually only lasts three days, or until the mother's body has adapted to the needs of her baby. Breastfeeding and engorgement can also happen as a result of missed feeds or incorrect latching, which results in milk being left behind in the breast. Query: how long does engorgement last\n", "labels": "Fortunately, engorgement passes pretty quickly for most women. You can expect it to ease up in 24 to 48 hours if you're nursing well or pumping at least every two to three hours. If not treated, engorgement can take up to ten days to start to go away.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-a37dc0a45ae54c61a2a8797ef5d2ea82"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The total time can have many different interpretations but usually it is interpreted as: 1  The time from entering the hospital, getting registered to the radiology department, receiving the CT exam and finally hearing from the doctor/radiologist the diagnosis based on the results. 1 Assuming that you are already inside the CT scanner ready to get scanned. CT scan without contrast (head, sinus, orbits, abdomen, pelvis, cervical, thoracic, lumbar and dental scans) take approximately 15 minutes. CT studies with contrast of the chest, pelvis, head or neck take approximately 30 minutes. The scans are reported by a radiologist after the technician finishes the scan. The time taken to read and report the scan depends upon many factors like contrast used and comparison with a previously done CT Scan. Usually the report is available within 24 hours. Visit What is CT scan. Detailed note on CT scan Tests - ChooseDoctor At our hospital, it'd be very unusual for a CT scan to take more than an hour or two to be read, most are done within 30 minutes. From there, the question is how long does it take for the report to get to the ordering doctor? If the CT is sent to offsite radiology interpretation, it might take 2, no longer than 3 days to get the report to your physician. This is what you would expect in most areas of the country. 12.3k Views \u00b7 View Upvoters Whereas, aortic contrast studies may take up to 45 minutes. Most cardiac CT studies will take 60 minutes. Assuming that you are not inside the CT scanner, prior to the actual scan, patient registration and meeting with the technologist takes approximately 30 minutes. The time that the procedure of the CT examination lasts and the time that the results are reconstructed in the radiologists computer. Expected time: between 5 and 30 minutes. More specifically, the scan time, the time you are actually in the machine as it acquires images, depends on a number of factors. If it was ordered as a routine versus ordering it as a stat, a routine CT results could be available within 1 to 2 days from the time of the scan was taken to a stat CT being reported within hours of the actual scan . The latest research from I-ELCAP shows that patients diagnosed with lung cancer as a result of annual CT screening have an overall cure rate of 80%, regardless of stage and type of treatment. When cancers are found at the earliest stage (85% of the patients) and are immediately removed with surgery, the research shows a cure rate of 92%. A chest x-ray shows only two views of your chest (front and side), while a CT scan shows cross-sectional images all through your chest-from the very top of your lungs through the lung bases. Thus, tiny abnormalities (that could be early stage lung cancer) can be found which would never have been seen on a chest x-ray. Query: how long does it take to report on a ct scan to your doctor?\n", "labels": "Usually it takes 24 hours to report on a ct scan.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-686c32847b504d8ca7f0c6b03130f534"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Depends: Norovirus is the most common viral cause of stomach flu or gastroenteritis. Exposure can result in illness within 24 hours. Other causes of gastroenteritis like bacteria can take several days. Handwashing and food safety can help prevent spread of illnesses like these. How long would the normal stomach flu take to develop in your system and start showing symptoms.? Dr. Gary Gottlieb Dr. Gottlieb 6--10 days: The incubation period for most common gastrointestinal viral illnesses is 6-10 days. If you've been exposed you may not show symptoms for up to 7 days. Most people typically get symptoms within 3 to 5 days following exposure. The same holds true for the season\u2026al flu or colds. For one, it's not really the flu! Here are 13 things you need to know about viral gastroenteritis (its true medical name), starting with the fact that it's caused by viruses that attack the stomach and intestines. Report Abuse. 1  Chat or rant, adult content, spam, insulting other members,show more. 2  Harm to minors, violence or threats, harassment or privacy invasion, impersonation or misrepresentation, fraud or phishing, show more. 3  Chat or rant, adult content, spam, insulting other members,show more. Viral gastroenteritis is a viral infection of the GI tract. It can be picked up from contact with surfaces and foods that are carrying the virus. Symptoms include upset stomach, nausea, vomiting, diarrhea, and abdominal cramps. Sometimes fever and chills occur....Read more How long does it take to show symptoms after being exposed to a stomach virus? My son had a stomach virus almost 48 hours ago; no one else in the home has shown symptoms since then; how much longer until we're in the clear? Thanks. You may also wonder how long it takes to get sick after you have been exposed and how long you are contagious when you have it. Flu Incubation Period. The typical flu incubation period\u2014the time between exposure and the start of symptoms\u2014is between 24 hours and four days, with the average being two days. This means that if you are exposed to the influenza virus and become infected, you will start to experience flu symptoms anywhere between 24 hours and four days after the exposure. The stomach flu can\u2019t be cured by medications, and antibiotics won\u2019t help when a virus is the culprit. You can take over-the-counter medication to treat the symptoms but do so sparingly. For fever or aches, ibuprofen can help, as long as it doesn\u2019t cause you to have more of an upset stomach. Answer Wiki. For influenza in particular, as Quora User says, a typical incubation period would be 1-4 days. That's a reasonable range for many other viruses, too, especially respiratory viruses. Gastrointestinal viruses probably average a little shorter incubation time. Query: how long to show symptoms after exposure of stomach bug\n", "labels": "It takes 6 to 10 days to show symptoms after exposure of stomach bug.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-bd6f0a7cc0c34a698a66867b326a9311"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How long should I keep tax returns? In most cases, you should plan on keeping tax returns along with any supporting documents for a period of at least three years following the date you filed or the due date of your tax return, whichever is later. If, for example, you find that you failed to claim a credit on an old return that would've given you a refund, you can amend that return using Form 1040X within three years of its original filing date, or within two years of the date you paid taxes for that return -- whichever is later. Holding on to your old tax records can also work out in your favor. Just as the IRS gets three years to re-examine old tax returns, so, too, can individual tax filers claim refunds up to three years after the fact. How Long Should I Keep My Tax Returns? Don't be too quick to toss out your old tax returns. You should hang onto those forms for a minimum of three years -- sometimes more. That said, the IRS will advise you to keep your old tax returns and records even longer in the following situations: You failed to report income for a given year, and that amount exceeds 25% of the gross income shown on your return. You filed a fraudulent return. You didn't file a return for a given tax year. That said, the IRS will advise you to keep your old tax returns and records even longer in the following situations: 1  You failed to report income for a given year, and that amount exceeds 25% of the gross income shown on your return. 2  You filed a fraudulent return. 3  You didn't file a return for a given tax year. Tax returns sent on or before the deadline. You should keep your records for at least 22 months after the end of the tax year the tax return is for. If you send your 2015 to 2016 tax return online by 31 January 2017, keep your records until at least the end of January 2018. It's natural to want to clear out your filing cabinets and free up more space, but when it comes to tax returns, you shouldn't be too quick to toss out old information. The IRS gets three years from each year's tax filing deadline to audit and reassess old returns. Editor\u2019s Note: If your tax return is still buried under a pile of papers next to your computer, it\u2019s probably time to do a little organizing. To help get you set we asked Anna Sandall of the Tax Institute the best practices involved in keeping tax records including how long you should hold onto those past returns. So for example, if you filed your 2015 tax return on February 1, 2016, you should have kept the return and supporting documents until at least April 15, 2017. What tax records should I keep? You should keep every tax return and supporting forms. This includes W-2s, 1099s, expense tracking, mileage logs if you itemize and other documents. So why is keeping tax returns for three years important? Keeping tax returns for the three-year time period is tied to the IRS statute of limitations. Query: how long do i keep my tax return?\n", "labels": "In most cases, you should plan on keeping tax returns along with any supporting documents for a period of at least three years following the date you filed or the due date of your tax return.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-63303eee52de47018f14dab5969dd687"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The moon orbits the earth in a little under 28 earth days. It travels at almost 2,290 miles per hour. Coincidentally, the moon's rotation period is also a little under 28 days, meaning the same face points toward the earth during its entire orbit. When the moon is between the Earth and the sun, during the new moon phase, the back side of the moon is bathed in daylight. The orbit and the rotation aren't perfectly matched, however. The moon travels around the Earth in an elliptical orbit, a slightly stretched-out circle. When the moon is closest to Earth, its rotation is slower than its journey through space, allowing observers to see an additional 8 degrees on the eastern side. Why does the Earth and the moon remain in orbit? Inertia and gravity combine to keep Earth in orbit around the sun and the moon in orbit around the Earth. (pg 524) v. the different shapes of the moon you see from the earth are called How long does it take for the Earth to rotate on its own axis ? The time it takes the Earth to rotate once is called a day (24 hours). The actual rotation time is a little less, about 23 hours and 56 minutes. If you ignore the earth's orbit around the sun, the moon takes 27.32 days to go 360 degrees around us. In other words, the time it takes to cover 360 degrees of the celestial sphere. But since we orbit the sun, the moon has to travel farther than 360 degrees to reach the same point, with respect to the earth and sun. (It's about an extra 28 degrees). Since we notice phases much more than what stars we see the moon against, the phase cycle of 29.5 days is the one most commonly used. v. an object that orbits the sun, is large enough to have become rounded by its own gravity and has cleared the area of its orbit. planet. v. bright streak of light produced when a small object burns up entering the Earth's atmosphere. Seconds) to go all the way around earth moon's orbital period is time it takes for moon complete one orbit does, in fact, rotate, and because of this every spot on sees albeit that lunar days nights are each 14. 34g cm3, the period is 118 minutes. If you ignore the earth's orbit around the sun, the moon takes 27.32 days to go 360 degrees around us. In other words, the time it takes to cover 360 degrees of the celestial sphere. But since we orbit the sun, the moon has to travel farther than 360 degrees to reach the same point, with respect to the earth and sun. (It's about an extra 28 degrees). Since we notice phases much more than what stars we see the moon against, the phase cycle of 29.5 days is the one most commonly used. The Moon orbits Earth in the prograde direction and completes one revolution relative to the stars in approximately 27.323 days (a sidereal month). Earth and the Moon orbit about their barycentre (common center of mass), which lies about 4,600 km (2,900 mi) from Earth's center (about 3/4 of the radius of Earth). If I use this gravity model, I can calculate the force per unit mass for an object in the location of the moon due to both the Sun and Earth. 1  Gravitational force per mass due to the Sun = 0.00589 N/kg. 2  Gravitational force per mass due to the Earth = 0.00270 N/kg. Query: how long does it take moon to orbit earth\n", "labels": "Moon takes 28 days to orbit the Earth.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e2d2e2ff88754b2ebe2a61b25a2e6f12"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Do you want to get your tax refund fast after filing this year? See these tips on how to speed up your money and check the status of your tax return. Advertiser Disclosure: The credit card offers that appear on this site are from credit card companies from which MoneyCrashers.com receives compensation. A: Tax returns filed with the state by mail generally take about eight weeks to receive refunds, while returns sent in electronically take about three weeks. The refund disbursement time frame is different in each state, and other circumstances, such as volume of returns being processed, may hold up refunds. Maryland state tax refund \u2013 Maryland paper filers can expect their refund in 30 days, and e-filers in less time than that. Marylanders can check the status of their refunds here. Massachusetts state refund \u2013 An e-filed return should get you a refund in less than a week, a paper return in less than 3 weeks. If you lodged with a registered tax agent, they can amend your tax return. See also: Amendment requests 2017 \u2013 how to amend your tax return. Once you\u2019ve lodged your tax return, we will issue you a notice of assessment. This tells you whether you're entitled to a refund or that you have a tax debt to pay. If you think you made a mistake on your tax return, you can lodge an amended return online. Though time limit is huge with ITD to process each tax return but practically they do not take so much time , generally speaking earlier Income tax department were taking genearlly 6 to 12 months time but for F.Y 2014\u201315 they took only 1 to 2 month time to process and issue refund so it depends upon various factors year to year like Learn how long it takes to get your tax refund after you've filed your Canadian income tax, how to check refund status, and how returns can be delayed. How long does a tax refund take? Typically, it takes HMRC 8-10 weeks to process an average tax refund claim. What forms do I need? You'll need to sign a 64-8 Authorising Your Agent Form Missing 64-8 forms are the most common reason for delays in getting your money. What is the slowest way to get your tax refund? The longest amount of time your refund will take is if you paper file your return. If that\u2019s the case, you can tack on an additional 4 weeks to all of the times given above. That\u2019s how long it takes the Tax Department to process paper returns. With refund season well underway and the average direct deposit tax refund being over $3,000 last tax season, we are hearing the common tax season question: \u201cWhere\u2019s My Refund?\u201d We know that you work hard for your money and often a tax refund may be the biggest check you get all year, so we\u2019re here to let you know what happens after you hit the e-file button and how to check the status of your tax refund. How long will it take for me to receive my refund? Timely filed, error-free tax returns take approximately 2 to 3 weeks for processing and issuance of a refund check. Is there a phone number that I can call to check on my refund? As long as your tax return has been processed, you may call (202) 727-4TAX to find out the status of your refund. You may check your refund status online at the Electronic Taxpayer Service Center. MyTax.DC.gov Query: how long does an income tax return take\n", "labels": "An income tax return takes 6 to 12 months time.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-4b7d0dd692864fb1b546339704474989"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: If you are eligible to apply online for your first passport, you can choose to renew your children\u2019s passports at the same time. This means you can submit and pay for the applications as a family group. To renew your children\u2019s passports you must be their parent or legal guardian. Your must have been at least 16 years old when your last passport was issued. The passport renewal process isn\u2019t used for minor passports. Children who are still under 16 will have to apply for another minor passport, which will be valid for 5 years. If you turned 16 since your last passport was issued, you can apply for your first adult passport. RushMyPassport.com is a private service that charges an additional fee to expedite your passport in 1-12 days. Customer Testimonials. I needed the efficient and speedy service of a passport processing agency, and I found just that with Expedited Travel.. Step 1: Apply Early. 1  Adult passports are valid for 10 years and may be renewed by mail. 2  Minors' passports may not be renewed by mail. 3  Many countries require that passports be valid for at least 6 months after you enter their country. Renew your passport in plenty of time for those trips or pay for expedited service. Renew a Passport by Mail Step 1: Apply Early. If you are renewing your passport using Passport Renewal Application Form DS-82, Post Offices do not need to review or process your application. You can mail your renewal application directly to the State Department yourself. Adult passports are valid for 10 years and may be renewed by mail. Minors' passports may not be renewed by mail. Many countries require that passports be valid for at least 6 months after you enter their country. Renew your passport in plenty of time for those trips or pay for expedited service. Step 2: Check Your Renewal Eligibility Passport Application Form [click here for pdf ] signed by applicant, or in case of minor below 18 years old, signed by the parent or legal guardian. Do Not Bring Passport Pictures. Passport Pictures are to be Taken by the Consulate. Passports Valid for a Year or Less From Issuance Date May be Renewed. 43 Responses to \u201cHow to Renew Your Passport\u201d Ahuva Shweiki. Need to renew my Israeli passport Please call Thanks. March 11th, 2015 at 11:50 am ; Alison Kroulek. Hi Ahuva, Unfortunately we are only able to help US citizens renew their US passports. Please contact the nearest Israeli consulate or embassy to renew your passport. March 21st, 2015 at 3:50 pm Renew a Passport from Outside the United States. U.S. citizens residing abroad (except those living in Canada) should renew their passports at the nearest U.S. Embassy or U.S. Consulate. Please visit their specific website for specific instructions. U.S. citizens residing in Canada may submit Form DS-82 to the address listed on the form. You should allow approximately three weeks to receive a new passport. You can help minimise processing time by ensuring you provide everything we need when you lodge your application. If you need your passport in a hurry, you can use our priority processing service for an extra fee. Read our Passport Renewal FAQs \u00bb RushMyPassport\u2122 can expedite your expired or expiring passport online in as little as 24 hours. To get started with our expedited process and to receive your passport renewal in time for your trip, review the required documents on our Passport Renewal Checklist \u00bb Ready to Renew Your Passport? Your departure date must be later than: 02/22/2018 Query: how long to renew expired passport\n", "labels": "RushMyPassport\u2122 can renew your expired or expiring passport online in as little as 24 hours.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ec76b2c2769c4546b8115da07e2c89c2"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: \u201cThe easiest way to avoid it is to keep your lint filter and dryer exhaust vents clean on a regular basis,\u201d Lorraine Carli of the National Fire Protection Agency (NFPA) told Patch. Here are some tips from the NFPA on how to prevent dryer fires. 1  Have your dryer installed and serviced by a professional. Installing a dryer is not a good DIY project. 2  Clean the lint out of the lint trap before each load. At least once a year, and more often if you notice your clothes are taking longer than usual to dry, clean the lint out of your vent pipes or have a dryer lint removal service do it. Some fire chiefs who have put out many dryer-related home fires recommend cleaning your vent pipes every few months, according to www.dryerbox.com. \u201cThe easiest way to avoid it is to keep your lint filter and dryer exhaust vents clean on a regular basis,\u201d Lorraine Carli of the National Fire Protection Agency (NFPA) told Patch. Here are some tips from the NFPA on how to prevent dryer fires. Have your dryer installed and serviced by a professional. Installing a dryer is not a good DIY project. In March 2015, three families in Colorado Springs had to flee their homes after a fire spread through two floors of an apartment building, according to a local television report. Fire investigators pinpointed the cause: a build-up of clothes dryer lint. The dryer lint is the fuel a fire needs. The appliance itself is the heat source a fuel needs to produce a fire. Oxygen is present naturally. What is needed at this point to cause a fire is the chemical chain reaction between the oxygen, the heat source and the fuel when it reaches its ignition temperature. If the blocked dryer vent does not allow the heat to escape and the small surface area of the lint reaches its ignition temperature; a fire can occur.. On our to-do list this weekend, is to once again clean out our dryer\u2019s lint trap and vent, from the appliance to the outside of the house. How to Prevent Dryer Fires. It is very common for a clothes dryer to build up lint inside and eventually catch fire. Most of the time the lint burns itself out inside the machine leaving a burning smell and damage to the appliance. There... How to Prevent Dryer Fires It is very common for a clothes dryer to build up lint inside and eventually catch fire. Most of the time the lint burns itself out inside the machine leaving a burning smell and damage to the appliance. There are times however, when the... In the event that your dryer does have a lint fire, don't give it more fuel to destroy your home. Make sure there are no articles of clothing, boxes, cleaning supplies, or anything else behind or around the dryer. You should also keep things off the top of the dryer. Clothes dryer don\u2019t's. 1  Don\u2019t use a clothes dryer without a lint filter or with a lint filter that is loose, damaged or clogged. 2  Don\u2019t overload the dryer. 3  Don\u2019t use a wire screen or cloth to cover the wall damper. They can collect lint and clog the dryer vent. 4  Don\u2019t dry anything containing foam, rubber or plastic. The cause? A build-up of lint behind the unvented dryer. And a month earlier, occupants just managed to escape their apartment during a raging fire in Bethesda, Maryland. The fire, which caused an estimated $1 million in damage, was caused by clothes dryer exhaust vents that were \u201c100 percent clogged with lint,\u201d according to fire investigators. Query: how does lint filter cause fire\n", "labels": "lint filter causes a fire by the chemical chain reaction between the oxygen, the heat source and the fuel when it reaches its ignition temperature.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-499b477b1e6140b89e5bcb8bccacb830"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Lifespan. Due to predation and hunting, squirrels' lifespans can vary drastically. The pests experience high mortality rates in their first year of life but are capable of living up to 15 years in the wild. The average squirrel lifespan is between five and six years. Since the pests are prolific breeders, homeowners dealing with squirrel infestations see populations rise dramatically. The total length of the squirrel ranges from 380 to 525 millimeters (mm). The tail length ranges from 150-250 mm. You can tell eastern grey squirrels apart from fox squirrels by their white tipped fur and white or grayish belly. Eastern grey squirrels often have a lot of red in their fur. Like other squirrels, it has large eyes set on the sides of its head that allow it to see all around with little movement of its head. It can see above and below, an adaptation well suited for life in the trees where danger can come from the ground, through the air, or along a nearby limb. Between 1930 and 1945 it underwent a huge expansion in range; it is now common throughout central and southern England, Wales and the central lowlands of Scotland (3), and is still increasing in terms of range and numbers (6). The grey squirrel has also been introduced to South Africa, Australia (3) and Italy (4). General description: Gray squirrels may have white or brownish bellies and, in winter, white ear tufts. Black and albino squirrels are variations of the gray squirrel. Length: Eight to 10 inches, with a tail roughly the same length. Weight: 1.5 pounds. Color: Mostly gray with a white to rusty-colored underside and rust-colored ears. Asker's rating. 1  Lifespan Of A Squirrel. Source(s): https://shrinks.im/a73un. 2  Squirrel Lifespan. Source(s): https://shrink.im/a8iw9. 3  Smaller rodents live less than the bigger ones, so the natural life span of squirrels varies from 4 to 7 years. They can live longer if they are well taken care of and live a calmed life. Since then they have been repeatedly released in parks, campuses, estates, and residential areas. They are now the most common tree squirrels in urban areas. The upper parts of the Eastern gray squirrel are gray with a reddish wash in summer; its underparts are whitish. It\u2019s about 20 inches long, half of which is its prominent, bushy tail. Average Life Span in the Wild. The average life span of grey squirrels is extremely brief -- generally only between 11 and 12 months, according to the Smithsonian National Museum of Natural History. Despite this brevity in life expectancy, some free roaming grey squirrels have actually surpassed 10 years in age. In Captivity A single female grey squirrel that resided in a captive environment greatly outlived the typical life span of her species, making it to over 20 years old, reports the University of Michigan's Animal Diversity Web. Gray squirrels can be seen out in the winter months as long as the temperatures are not too cold (not below 30 degrees F) and as long as it is not raining or snowing. Food forages are calculated risks in which the use of energy (fat) reserves must yield a profit or the squirrel's vital fat insulation layer will be steadily lost and the individual will be unable to survive the winter. The grey squirrel was introduced to Great Britain in the mid-19th century. There is now an estimated population of 2 million making them much more common than the native red squirrel. 1  Overview. 2  Daily Life. 3  Winter. 4  Breeding. 5  Grey Squirrels and humans. 6  Credits. Query: how long is the lifespan of a common grey squirrel\n", "labels": "The average life span of grey squirrels is between 11 and 12 months.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-d3284aa95cc74820a1b3f24bcc43c181"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: A net energy meter keeps track of the all the power your solar system produces. Any solar energy that you do not use simultaneous with production will go back into the electrical grid through the meter. At night or on cloudy days, when your system is not producing more than your building needs, you will consume electricity from the grid as normal. Touted as a promising alternative energy source for decades, solar panels crown rooftops and roadside signs, and help keep spacecraft powered. But how do solar panels work? Simply put, a solar panel works by allowing photons, or particles of light, to knock electrons free from atoms, generating a flow of electricity. Solar panels actually comprise many, smaller units called photovoltaic cells. (Photovoltaic simply means they convert sunlight into electricity.) Many cells linked together make up a solar panel. Each photovoltaic cell is basically a sandwich made up of two slices of semi-conducting material, usually silicon \u2014 the same stuff used in microelectronics. To work, photovoltaic cells need to establish an electric field. In addition, the nation\u2019s solar capacity by the end of 2016 is projected to be double what it was at the beginning of 2015, while costs continue to decline and panel efficiencies increase. The question many people have is: How exactly do those panels work? The diagram above illustrates the operation of a basic photovoltaic cell, also called a solar cell. Solar cells are made of the same kinds of semiconductor materials, such as silicon, used in the microelectronics industry. For solar cells, a thin semiconductor wafer is specially treated to form an electric field, positive on one side and negative on the other. When light energy strikes the solar cell, electrons are knocked loose from the atoms in the semiconductor material. What's the biggest difference between how a plant captures light energy and how we do it with solar cells? We wish we could do what plants do because plants absorb the light, and [they use] that electron to change a chemical bond inside the plant to actually make fuel. Could you do artificial photosynthesis and emulate a plant? We would love to be able to make a solar cell that instead of making electricity makes fuel. That would be a very big advance. Solar panel conversion efficiency, typically in the 20% range, is reduced by dust, grime, pollen, and other particulates that accumulate on the solar panel. Solar photovoltaic (PV) panels are based on a high-tech but remarkably simple technology that converts sunlight directly to electricity < PREVIOUS: The Solar Resource | NEXT: Rooftop Solar Panels > It's an idea that has been around for well over a century. Sun Activation. 1  Photons bombard and penetrate the cell. 2  They activate electrons, knocking them loose in both silicon layers. 3  Some electrons in the bottom layer sling-shot to the top of the cell. 4  These electrons flow into metal contacts as electricity, moving into a circuit throughout a 60-cell module. How Solar Panels Work How a PV cell makes electricity Under the sun, a photovoltaic cell acts as a photosensitive diode that instantaneously converts light \u2013 but not heat \u2013 into electricity. Basic Steps in Solar Energy Generation and Transmission. 1  Sunlight hits the solar panels, and creates an electric field. 2  The electricity generated flows to the edge of the panel, and into a conductive wire. 3  The conductive wire brings the electricity to the inverter, where it is transformed from DC electricity to AC, which is used to power buildings. Query: how does solar panel work\n", "labels": "A solar panel works by allowing photons, or particles of light, to knock electrons free from atoms, generating a flow of electricity.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-746294d39a474381958e1326cd4a2a99"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Why Powerblanket\u00ae Ground Thawing Blankets? High watt density thaws frozen ground fast; Quickly remove frost prior to concrete pour; Melt snow and ice from roofs, walkways, and construction areas; Easily installed and removed; Can be used to cure epoxy and resins . Download the ground thawing blanket spec sheet and see all the details of this product! Don\u2019t just take our word for it. Here\u2019s what one of our customers has to say: \u201cYour blankets are absolutely excellent. Thanks to Powerblanket\u00ae, we were able to quickly thaw the ground and complete our job. In fact, we estimate a savings of 10 hours per site equaling a savings of $5,000 already. Calculating this to our thousands of sites, the savings is huge! This wikiHow will teach you all three ways to defrost ground beef. In a Hurry? To quickly defrost ground beef, microwave the beef in a microwave-safe glass dish at 50% power. Step 1, Determine how early to pull the beef out of the freezer. Typically, 2 lbs (900 g) of bulk ground beef takes a full 24 hours to thaw. Significantly larger quantities of ground beef, like 3 or 4 lb (1350 or 1800 g) bulk packages, may take 48 hours or longer to defrost completely. As a general rule of thumb, add an extra day of defrosting time for every 2 lbs (900 g) of bulk ground beef. Ground ...Step 2, Place the ground beef in a plastic bag or dish. It is possible that the beef may ... - After freezing many, many flat 1/2 lb portions of ground beef this way, I have found the store brand zip sandwich bags (not even freezer bags) work absolutely fine. No difference at all in quality, and far cheaper. Plan to microwave for 3 minutes per 1 pound (0.45 kg). If the ground beef is too thick to defrost, you can speed up the process by cutting it in half. Once defrosted, cook the ground beef within 2 hours to be safe. For suggestions on how to defrost ground beef in the refrigerator or with water, read on! Three ways to defrost ground beef. Defrost in the refrigerator. Place the zip-top bag with the frozen ground beef on a plate and move to the bottom shelf of the refrigerator. The high watt density in Powerblanket\u00ae Ground Thawing Heated Blankets helps tackle the difficulty of thawing ground in harsh climates. This line of Powerblanket\u00ae flat blankets have a higher watt density and hotter temperature than our concrete curing heated blankets. The higher temperatures are ideal for ground thawing applications and curing epoxy or resins. You can defrost ground beef in any number of ways; a bag of flat frozen ground beef will thaw in the refrigerator in under two hours or in the microwave in less than five minutes. But my favorite way to defrost is to transfer the bag from the freezer to a large bowl in the sink. Latest Posts. 1  Industrial Internet of Things Industrial Internet of Things In the world of growing technologies, the phrase \u201cInternet of Things\u201d has garnered quite the buzz. Put simply, the Internet of Things, or \u201cIoT\u201d, is the use of the internet to connect objects and enable them to send and receive data. Do not attempt to defrost ground beef at room temperature. The ground beef will sit out at temperatures between 40 degrees Fahrenheit (4 degrees Celsius) and 140 degrees Fahrenheit (60 degrees Celsius) for too long, and this temperature range is ideal for the growth of bacteria. Query: how long ground thaw freezing\n", "labels": "A bag of flat frozen ground beef will thaw in the refrigerator in under two hours or in the microwave in less than five minutes.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-922339d2a0c14dbaab3d03aa963eaf2c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Cooked meat, and especially cooked spiced meat (i.e. sausage) will last a good deal longer. But much depends on the handling. I can get more than a week from a cooked sausage but I'm old and have kitchen hygiene pretty well down. A: The U.S. Department of Agriculture recommends that all raw ground meat be stored in the refrigerator for one to two days at most. The temperature recommended for storing ground meat is below 40 degrees Fahrenheit. The danger zone for meat and other perishable foods is considered to be between 40 F and 140 F. Continue Reading Question via Twitter: @Daniel_Simmons: @TestKitchen how long can I store meat in the refrigerator before it spoils? Answered by: Christie Morrison, Associa... We've been hard at work on the new YouTube, and it's better than ever. Butter is good to keep in the front of the fridge, to keep it warmer so it's easy to cut. Butter, bottled water, and other unopened drinks are items that are less susceptible to temperature problems. leftovers: last 3 - 4 days Lunch meat spoils quickly. If your lunch meat smells or looks bad, it is best to throw it away, regardless of how long it has been in the refrigerator. How Long Can You Keep Lunch Meat In The Refrigerator Fresh Cut Lunch Meats Fresh cut lunch meat from the deli counter at your grocery store lasts about 3 to 5 days in the refrigerator. Packaged Lunch Meat Vacuum sealed packaged lunch meat lasts until the expiration date on the package as long as it is unopened. If poultry can be in the refrigerator one day, how do you thaw out a turkey when the label says to leave it in the refrigerator 2-3 days? a. Once the turkey is fully thawed, it is like a fresh turkey and it can be refrigerated 1-2 additional days. Kenmore Elite 33 cu. ft. French Door Bottom-Freezer Refrigerator 04672093000; How to Prepare Your Home for an Emergency; How to Butterfly Chicken Breasts; Smart Swaps for Fall's Unhealthiest Foods ; How Much Food Do I Need? Sep 30, 2015 @ 4:16am. it does seem a bit too short, but for the time poor kibble is the go. This means cook the prime with a fire carried on your hunting mount, then once cooked keep hunting, once you have a few head back to base and put in preserving bin with oil and log out. Have a farm indoors, make kibble on your next login. When it comes to appliances that keep our foods safe, the refrigerator may be the most important because it slows down the growth of bacteria that cause food poisoning. At temperatures between 40 and 140 \u00b0F, bacteria grows most rapidly. A refrigerator set to 40 \u00b0F or below will protect most foods \u2013 but not forever. Query: how long does meat last in refrigerator ark\n", "labels": "Meats Fresh cut lunch meat from the deli counter at your grocery store lasts about 3 to 5 days in the refrigerator.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e9eba61edde742cfbe5ffc9f32d6c1c7"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: How long does pnuemonia bacteria live outside the body? My 84 yr. old Mom with heart disease and history of seizures, was in an enclosed vehicle sitting in the exact seat where someone who had bacterial pnuemonia was brought to the hospital and admitted 12 hrs. before. Scientists say that toys can harbor cold germs for weeks or even months. Prior research has already concluded that two common bacteria that cause colds, ear infections, and strep throat don't often live for long outside the human body, but a new study finds that they can linger a lot longer than previously thought. Exposure to any bacteria does not necessarily imply that you wil get a disease from it. There are not specific bacteria that only cause pneumonia, so exposure to someone with pneumonia, does not mean the exposed person will get pneumonia. Bacteria and viruses are more prevalent in closed spaces, and can last for a while on surfaces, but we are ALL exposed to these types of germs every day....every hour...when we are around people; even people that appear well. Exposure to any bacteria does not necessarily imply that you wil get a disease from it. There are not specific bacteria that only cause pneumonia, so... My WebMD Sign In, Sign Up This is the first paper to directly investigate that these bacteria can survive well on various surfaces, including hands, and potentially spread between individuals. The researchers found that in a daycare center, four out of five stuffed toys tested positive for S. pneumonaie and several surfaces, such as cribs, tested positive for S. pyogenes, even after being cleaned. Anyone at any age can get walking pneumonia. Walking pneumonia from mycoplasma is most common, though, in older children and adults younger than 40. People who live and work in crowded places, such as schools, homeless shelters, and prisons have a higher risk of contracting the disease. That's because walking pneumonia is contagious. It's spread when someone comes in contact with droplets from the nose and throat of someone who has it. That commonly happens when the person with walking pneumonia sneezes or coughs. Cases of walking pneumonia are most common in the late summer and fall. But infections can occur with no particular pattern throughout the year. Researchers also think it takes prolonged close contact with an infected person for someone else to develop walking pneumonia; still, there are widespread outbreaks every four to eight years. When those outbreaks occur, walking pneumonia can account for as many as one out of every two cases of pneumonia. What are the symptoms of walking pneumonia? Symptoms generally appear 15 to 25 days after exposure to the mycoplasma and develop slowly over a period of two to four days. Almost all children are infected at least once by age two. they were extremely premature or if they have heart or lung problems. monthly injection of an antibody to RSV at the beginning of and continuing throughout the RSV season. addition, they should avoid exposure to tobacco smoke. There is a certain level of immunity that occurs after someone has a case of walking pneumonia. It isn't permanent, though, and it's unclear how long it lasts. So you could at some point develop walking pneumonia again. When it does recur, it may be milder. Well-scrubbed hands. University of Buffalo researchers in New York published a study December 27 in the journal Infection and Immunity that found that Streptococcus pneumoniae and Streptococcus pyogenes can live on surfaces such as toys, books and cribs for weeks or even months. Query: how long does pneumonia live on surfaces\n", "labels": "Pneumonia lives for weeks or even months on surfaces", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-21c45543901c4070b90fbe39c14880ec"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Regular body temperature is 98.4\u00b0F. (\u00b0C x 1.8) + 32 = \u00b0F 36.9\u00b0C x 1.8 = 66.4 66.4 + 32 = 98.4\u00b0F (\u00b0F - 32) \u00f7 1.8 = \u00b0C 98.4\u00b0F - 32 = 66.4 66.4 \u00f7 1.8 = 36.9\u00b0C. The best type of thermometer \u2014 or the best place to insert the thermometer, in some cases \u2014 depends on your child's age. 1  Birth to 3 months. Use a regular digital thermometer to take a rectal temperature. 2  3 months to 4 years. According to the American Academy of Family Physicians, a fever is indicated when body temperature rises about one degree or more over the normal temperature of 37.0 degrees Celsius (98.6 degrees Fahrenheit). About This Image: Body temperature thermometer Adults: A fever is generally agreed to be present if: 1  Temperature in the mouth (oral) is at or over 37.7\u00b0C (99.9\u00b0F) 2  Temperature in the anus (rectum/rectal) is at or over 37.5 - 38.3\u00b0C (99.5 - 100.9\u00b0F) 3  Temperature under the arm (axillary) or in the ear (otic) is at or over 37.2\u00b0C (99.0\u00b0F) In fact, a serious infection, especially in infants, might cause no fever or even a low body temperature (below 97\u00b0F or 36.1\u00b0C). Because fevers can rise and fall, a child might have chills as the body's temperature begins to rise. The child may sweat to release extra heat as the temperature starts to drop. In general, contact your child's doctor if: 1  Your child is younger than age 3 months and has a rectal temperature of 100.4 F (38 C) or higher. 2  Your child is age 3 to 6 months and has a temperature up to 102 F (38.9 C) and seems unusually irritable, lethargic or uncomfortable, or has a temperature higher than 102 F (38.9 C). Your child is age 6 to 24 months and has a temperature higher than 102 F (38.9 C) that lasts longer than one day but shows no other signs. If your child has other signs, such as a cold, cough or diarrhea, you might call your child's doctor sooner based on their severity. Normal Body Temperature is Highly Variable Keep in mind, this number, whether it\u2019s 98.6 or 98.2 degrees F, is just an average. The human body has a wide range that is considered normal and each individual may have their own normal range. Therefore, a degree on the Fahrenheit scale is 1 \u2044 180 of the interval between the freezing point and the boiling point. On the Celsius scale, the freezing and boiling points of water are 100 degrees apart. A temperature interval of 1 \u00b0F is equal to an interval of 5 \u2044 9 degrees Celsius. The normal core body temperature of a healthy, resting adult human being is stated to be at 98.6 degrees fahrenheit or 37.0 degrees celsius. Though the body temperature measured on an individual can vary, a healthy human body can maintain a fairly consistent body temperature that is around the mark of 37.0 degrees celsius. The Fahrenheit scale is a temperature scale based on one proposed in 1724 by Amsterdam-based physicist Daniel Gabriel Fahrenheit (1686\u20131736), after whom the scale is named. It uses the degree Fahrenheit (symbol: \u00b0F) as the unit. Several accounts of how he originally defined his scale exist. Body temperature in different units. 37 \u00b0C is a value that one encounters probably more often than any other temperature reading. If you are used to the Celsius scale, you recognize it immediately. Indeed, a normal body temperature of a healthy person is in the vicinity of 37 degrees Celsius, which makes this value so special and important. For the Fahrenheit folks, you may know it as 98.6 \u00b0F (as you can easily verify using our online converter). It is important to realize however that the 37 Celsius (or 98.6 Fahrenheit) value is essentially an averaged benchmark. What is normal depends on various factors, both objective and subjective. At least some of those factors should be taken into account when reaching conclusions about whether one's body temperature is normal. Query: how long is the regular body temperature in fahrenheit\n", "labels": "The regular body temperature is 98.4\u00b0F.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-0f793733ee584dae8fb7d1e4a94139c4"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Release the mice into tall grasses at least one mile from your house or they will find their way back (no kidding) and the second time around they\u2019ll be wary of your trap and harder to catch. Release them early in the morning so they\u2019ll have a chance to get the lay of the land and build a nest before nightfall. Made from FSC certified wood the Victor Mouse Traps are very sturdy and long lasting. The snap wire part of the Victor Mouse Trap is so strong that it could even break your finger. Mice are naturally curious so if you place a piece of bait on top of the plastic triggering which is more sensitive than metals ones it will trap your rodent right away. How far away should you take a mouse from your house to stop it returning? How far to release a mouse? Where is a safe place to release mice in the winter time after catching them in humane mouse traps? Release mice outside house find way back in. I am have mice in house, going away overnight and need to leave food out for my cat. is there somewhere i could put it so mice wont get it? is it harm; How to block a hole in my boiler to stop mice getting in? Catch and release mice will they come back. When i chew the back of my head hurts? We found a mouse in our house last night and I plan on getting a live tap later today. Orkin is coming next weekend to get a more thorough inspection and plan going but in the meantime I want to catch what I can and release them outside. Would the field behind my house be far enough away? It is about 100 yards behind the house. If I catch a mouse in my house, how far away do I need to take it to keep it from coming back? With me and my mom we just caught a mouse and its winter in Maine. We had absolutely no idea what to do with it. We thought we could keep it for a night and let it go at the dump the next day, but it would be dead by morning because of shock and its tail was injured and bleeding. Stack bricks or books along one side so that the rodent can climb up and jump into the basket\u2014once inside, the animal won\u2019t be able to climb back out. Captured mice and rats can be kept calm by placing a towel over the trap. Release them within 100 yards of where they were trapped. (Rodents can also be humanely euthanized by a veterinarian or at a local animal shelter.) In order to keep the mouse from returning, you should take it about 2 to 3 miles from your house. Try to find a location away from human habitation that provides some shelter like a pile of wood, branches or rocks, or at least some low ground cover. This will shelter the mouse from predators until it can build a proper nest. Q: How far away should I take a live-trapped squirrel so that it doesn't return to my home? A: If you plan to relocate a squirrel, it is recommended that you take it at least 3 miles away, preferably on the other side of a body of water or a major highway.* Query: how far away to release mice from house\n", "labels": "You should release a mouse about 2 to 3 miles from your house.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e1cee86920b14c83b0fb5447af19f53c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The cold sore virus is reactivated in only about a third of adults, and usually by every day factors such as ultraviolet light or cold and flu. Can I get a cold sore from having sex? Cross-infection of HSV-1 (cold sore virus) and HSV-2 (genital herpes virus) may occur during oral sex. You should avoid having oral sex whilst you have a cold sore. You should also avoid kissing anyone when you are suffering from a cold sore as it is one of the more common ways of spreading the cold sore virus. Quick Answer. Cold sores last for as few as 2.5 days if treated with Abreva when the cold sores first appear, according to the Abreva website. The site reports the median healing time for cold sores treated with Abreva as 4.1 days and recommends discontinuing use of the product after 10 days. Cold sores will usually heal within two weeks without treatment. However, there are established cold sore treatments available to help decrease healing time, reduce pain, and in specific cases, suppress the recurrence of the virus. My cold sores used to be MASSIVE and last for weeks, but now they only last a couple days and do not even look like cold sores after I\u2019ve \u201cworked\u201d on them. I used to be so self-conscious when I got a cold sore, now they hardly affect my mood and are more of a slight annoyance for a couple days. How Long Do Cold Sores Last? Herpes-induced cold sores, also known as fever blisters, often break out on the lips or in the mouth. According to the NHS, untreated cold sores take approximately seven to ten days to heal. Medical specialists at the University of Maryland Medical Center believe that they last between two and three weeks, with some sores in people with weakened immune system lasting as long as six weeks. Comments. 1  Hello I just came across this forum. I was recently diagnosed with HSV-2 this past December. 2  Drinking lowers your immune system. I would cut back to once a week. 3  Hello, I am 24 years old, I have had this disease for 10 years now. How long do cold sores last? From the time of the first tingle, a cold sore will take between 7 and 10 days to completely heal - sometimes up to 14 days. Each cold sore goes through several stages before it disappears. In the vast majority of cases, the sore will heal without scarring. How Long Do Herpes Outbreaks Last. Herpes is a sexually transmitted infection. It has two known types: herpes simplex virus type 1 (HSV-1) and herpes simplex virus type 2 (HSV-2). Genital herpes outbreaks are normally caused by the type 2 virus while the type 1 virus typically manifests itself as cold sores around the mouth and lips. However, HSV-1 can also manifest in the form of genital herpes if there are oral to genital contact. Cycle And Duration Of A Herpes Outbreak (Primary And Recurrent) If you thought the last four days were uncomfortable \u2014 this is the most painful stage of the cold sore lifecycle. A shallow ulcer develops and the area is red and inflamed. Duration: Days 4 \u2013 5 If you use an antiviral cream as soon as symptoms start then the cold sore may not last as long as usual and may be less severe. There is debate as to how well the cream works. Aciclovir has to be applied five times per day for five days. Query: how long cold sores last\n", "labels": "A cold sore will take between 7 and 10 days to completely heal - sometimes up to 14 days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-f6ee309da7874794b56cd147865c0637"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: CTD sucks anyway. If you order multiple items and they ship out of different warehouses, you basically pay double shipping. And their prices aren\u2019t cheaper than dirt. Midway USA and Brownells are always much cheaper. I think Brownells has 10 packs of pmags for $99.99 right now. We make every attempt to ship your order the same day when it is placed by 4 pm CST, Monday - Friday. The cutoff for same day shipping on Express orders is 12pm CST, Monday - Friday. Express orders received after 12pm CST will ship the next day. Some specific products may take longer to ship which will be indicated in your cart. We only ship orders to addresses within the U.S. Get 25% Off Plus enjoy Free Shipping with Cheaper Than Dirt coupon codes 2017 or promo code at Promo-code-land.com. Cheaper Than Dirt is the name of America\u2019s largest online sporting goods retailer. Offer huge selection of discount guns, ammunition, parts, and other survival and hunting gear. Wanted to order a pair of sling swivels. The prices was OK (not dirt cheap) but the shipping was almost $10.00 -- more than the item. Got the same item at Midway for close to the same price but the shipping was only $4.00. They just aren't the cheapest and then they rip you off on the shipping -- Done with them. I am thinking of buying a used dirtbike from the east coast (I live on west coast), and I was wondering, how much do you think it would cost to ship a CRF150f and how long would it take? Thanks, Chris How long does FedEx ground delivery take? A: Within the continental United States, FedEx Ground delivery takes anywhere from 1 to 5 business days, while delivery to Alaska, Hawaii, Canada and Puerto R... Full Answer > Cheaper Than Dirt Free Shipping Policy All orders do incur a shipping charge based on weight and shipping location. In compliance with federal laws, some merchandise must be shipped to a licensed dealer first. By far the worst online gun store in 1  \u2026. By far the worst online gun store in the US. 2  Nothing more than a bunch of opportunists. 3  I emailed these people three times within a three week period, trying to resolve an order. 4  They never seem to have anything in stock. 5  I have bought from here alot! Cheaper Than Dirt! will Resume Online Firearm Sales Pending Policy Changes. Cheaper Than Dirt! recently announced that it was temporarily suspending online sales of firearms pending a review of its order processing and procedures. Well-known for its ability to process and ship orders within 24 hours, online sales have skyrocketed to a point where it may take up to 72 hours for firearms and other items to ship. What do you think about Cheaper Than Dirt? Share your shopping experience and hear what 7 customers have said about Cheaper Than Dirt. | www.cheaperthandirt.com Do you agree with Cheaper Than Dirt's TrustScore? Voice your opinion today and hear what 7 customers have already said. Query: how long does cheaper than dirt take to ship\n", "labels": "Cheaper than dirt takes 24 hours and online sales have skyrocketed to a point where it may take up to 72 hours for firearms and other items to ship.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e7e5932b0d2c4364a18e12663f9c585e"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Learning to play guitar is a process, and there is no finish. line. How long does it take to play guitar, is a question. students often ask their teacher. How long it takes to play the. guitar depends on what your definition of guitar playing. How long does it take to learn guitar with the help of YouTube? How long does it take to learn to play guitar decently? How long does it take to learn Guitar perfectly for a quick learner? Learning the basics is possible within a week\u2019s time. Ongoing practice may bring in better results in almost 6 months. Of course training to be skilled in the instrument may take a longer time involving months or perhaps years. How long does it take to learn guitar also lies on your knowledge of rhythm and tuning. 1. Guitar owners - to qualify you need only to have enough funds to purchase the instrument, for these people the guitar is simply a toy, like a computer game, or fashion accessory. How long does it take you to play the guitar if you're in this category? About 5-10 minutes max. The important thing here is to be seen to be playing the guitar! 2. Guitar players - players in this category are often very dedicated and speed many hours practicing their instrument. Mostly self taught, they learn almost exclusively from guitar tab, and their friends. How long does it take to play guitar in this category?... these players understand it's a lifetime journey. 3. It is based on your capacity to play the instrument in sink with the notes. Adding on is your inner talent or love for music and an ability to play well. How long does it take to learn the guitar and play songs on it is possible within one or two months. Can start to teach others; guitar skills are quite serviceable. Professional: 10000: 55.6 years: 27.8 years: 13.9 years: 6.9 years: Can teach almost any player, and can perform comfortably in at least one style. Most would describe this as mastery. Master: 20000: 111.1 years: 55.6 years: 27.8 years: 13.9 years: World-class musician, guitar deity, or frightening demon. \ufeffLet's get started by looking at some of the most common questions I get asked about learning the guitar. The guitar is an easy instrument to play badly, but with practice anyone can learn to play well. In this lesson I just want to clear up a few things so that you know what to expect of this course, and of yourself. Simply put, find one guitar-related thing a day that you didn\u2019t know already and learn it. And play it. It can be a riff, a lick, a chord, a scale, an exercise, a song, a melody, an altered tuning, a strum pattern, the part of a song you know all of the cool riffs of but never bothered to learn the \u201cboring\u201d connecting transition sections of, whatever. Perhaps a reasonable answer to \u2018How long does it take to learn guitar?\u2019 would be about eighteen months to two years. After a year or two, you\u2019ll know more about where you want to go with the guitar. You\u2019ll be able to play confidently, without making mistakes. Yeah\u2026but really\u2026 how long does it take to learn the guitar?? Ok. I\u2019ve seen some other websites give timeframes (like: \u201cif you practice regularly, in 1-2 months you can play most chords\u201d; or \u201cin 1 year you can play most songs\u201d). I think that\u2019s crazy. What does \u201cmost songs\u201d mean? Or \u201cmost chords\u201d? Query: how long does improvement take learning guitar\n", "labels": "In guitar learning, ongoing practice may bring in better results in almost 6 months", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-b9a9c1cdcf44467eae66c5e0864185cc"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: The typical flu incubation period is between 24 hours and four days, with the average being two days. This means that if you are exposed to the influenza virus and become infected, you will start to experience flu symptoms anywhere between 24 hours and four days after the exposure. Another factor that contributes to how the flu spreads is when exactly you may be contagious. You may also wonder how long it takes to get sick after you have been exposed and how long you are contagious when you have it. Flu Incubation Period. The typical flu incubation period\u2014the time between exposure and the start of symptoms\u2014is between 24 hours and four days, with the average being two days. This means that if you are exposed to the influenza virus and become infected, you will start to experience flu symptoms anywhere between 24 hours and four days after the exposure. You may also wonder how long it takes to get sick after you have been exposed and how long you are contagious when you have it. Flu Incubation Period The typical flu incubation period\u2014the time between exposure and the start of symptoms\u2014is between 24 hours and four days, with the average being two days. This means that if you are exposed to the influenza virus and become infected, you will start to experience flu symptoms anywhere between 24 hours and four days after the exposure. Viral Shedding. Influenza spreads mainly by respiratory droplets that contain copies of the virus that have replicated in your body. Viral shedding, which correlates with infectivity, occurs starting approximately 1 day before symptoms appear and can continue for up to 10 days after symptoms develop. The most active period of contagion falls between 1 and 4 days after the start of symptoms, according to a May 2010 article published in the Journal of Infectious Disease. The study also found that in a small number of cases, infection transmission occurred before symptoms appeared. If you are exposed to someone with the flu, avoid close contact with the person, and wash your hands frequently. 1  Vitamin C: Although Vitamin C is widely used and has many benefits, there is no scientific proof that it will help you avoid an illness such as the flu or a cold. Tamiflu Actions. Tamiflu acts by reducing the number of cells in your body that are affected by the influenza virus. It does this by binding to a coating, called neuraminidase, that's found on the surface of the virus. Neuraminidase allows the virus to penetrate healthy cells, where it can then produce more copies of the virus. After symptoms start, adults can spread the virus for five to 10 days. However, the amount of virus spread decreases significantly after three to five days. Adults are most contagious with the flu from 24 hours before symptoms start to three to five days afterward. Flu symptoms generally don't come on gradually. 1  More often, people describe the onset of flu as if they were hit by a truck.. You feel fine, and then suddenly, an hour later, you feel like you can hardly move. 2  We know that it is highly contagious and can be spread before you even have symptoms. Preventing the Flu After Exposure. 1  Vitamin C: Although Vitamin C is widely used and has many benefits, there is no scientific proof that it will help you avoid an illness such as the flu or a cold. 2  Humidifiers: Evidence suggests that viruses such as the cold and flu spread more easily in cold, dry air. Query: how long incubation period influenza b\n", "labels": "The typical flu incubation period is between 24 hours and four days, with the average being two days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-1fb291c62c1440feb275e390be7f88d0"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: (plural cast fossils) A fossil formed when an animal, plant, or other organism dies, its flesh decays and bones deteriorate due to chemical reactions; minerals gradually enter into the cavity, resulting in a cast, also called a mold fossil, which is in the general form of the original organism. Link/Cite. Fossil - Types. 1  Index fossils (also known as guide fossils, indicator fossils or zone fossils) are fossils used to define and identify geologic periods (or faunal stages). They work on the premise that, although different sediments may look different depending on the conditions under which they were deposited, they may include the remains of the same species of fossil. The mold is the impression in the rock it left. This is like pouring chocolate into a mold. When the chocolate hardens, it pops out as a chocolate cast, ready to eat. Examples: Fossil shells are often casts, and shell impressions on rock are often molds. A fossilized footprint is a mold. Plant fossils and trilobites are often found as casts and molds. There are two main types of fossils: body and trace fossils. 1  Body fossils - Body fossils are fossils where some portion of the actual organism's body remains as part of the fossil. This might be a tooth or piece of bone. 3. What is a cast fossil? 4. What is a true form fossil? Motivation: Ask students if they know what the different types of fossils are. Can they describe different kinds of fossils? Show the following types of fossils, taken from http://enchantedlearning.com/subjects/dinosaurs/dinofossils/Fossiltypes.html and discuss each one. The first picture is a fossil in amber, the second one is a trace fossil, the third is a mold fossil, and the last one is a cast fossil. Procedure: Write on the bottom of each fossil their name and if it is a cast or mold. Have students form two lists to describe what they see in the two 'fossils', hair, shape, texture, size, color, etc. Have students write on paper which fossil gives them the most information, mold or cast (3-D) and why. Cast and mold are a type of fossilization where the physical characteristics of organisms are impressed onto rocks, especially coarse porous rocks such as sandstones. Fossils are remains of life from the past. The most common kinds of fossil preservation are molds and casts. The activity will give students the chance to make modern day molds and casts. Goal: To teach students two common fossil types; a mold and a cast. Best Answer: C. A mold fossil is filled with water that contains minerals that harden into a stone replica. A is how you make a trace fossil B is how you make a ... There are four primary types of fossils: mold fossils, cast fossils, trace fossils and true form fossils. Cast fossils are formed when the imprints created by fossils, called mold fossils, are filled in by minerals over time. Definition of Cast Fossils. A cast fossil is a type of fossil indicator. Query: how is a cast fossil formed?\n", "labels": "Cast fossils are formed when the imprints created by fossils, called mold fossils, are filled in by minerals over time.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-ab1f7171a2154e8d90b48651756619f8"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: While no one knows the answer for sure (not scientifically proven) below are some hypotheses: 1  for visibility, to makes it easy to locate and identify other individuals of the species. 2  for denoting sexual maturity, versus immature eagles, which lack the white head. 3  for indicating dominance, like top-dog. The bald eagle is a powerful flier, and soars on thermal convection currents. It reaches speeds of 56\u201370 km/h (35\u201343 mph) when gliding and flapping, and about 48 km/h (30 mph) while carrying fish. Its dive speed is between 120\u2013160 km/h (75\u201399 mph), though it seldom dives vertically. Bald Eagle Behavior. 1  They typically build their nests high up in a tree, almost always with commanding views of their surroundings (all the better to avoid and see their enemies) 2  They typically build their nests near water (all the easier to spot and access food) The bald eagle is closely related to a species called the golden eagle. The bald eagle is physically different from the golden eagle. The bald eagle has a bigger head and a bigger beak, and its legs do not have feathers. A: Eagles do blink by closing the outer upper and lower lids like we do. The nictitating membrane is a clear membrane that is moved back and forth over the surface of the eye often times very rapidly. Field MarksHelp. 1  Zoom In. Bald EagleAdult Very large raptor with long, broad wings. 2  Zoom In. Bald EagleAdult Large, barrel-chested raptor. 3  Zoom In. Bald EagleAdult Very large and heavy-bodied raptor. 4  Zoom In. Bald EagleAdults feeding chick Adults with white heads and yellow eyes. 5  Zoom In. Bald Eagles In United States History. 1  In 1776, the eagle began to appear on coins in the United States. 2  On June 20th, 1782, the bald eagle appeared on the Great Seal of the U.S. and became the national bird. 3  In 1782, there were about 100,000 nesting eagles in North America. The bald eagle can live a long time in captivity if well cared for, but does not mate well, even under the best care. The national bird of the United States. The bald eagle is the national bird of the United States. It appears on most of its seals, including the Seal of the President of the United States. The skeleton of a bald eagle weighs 0.5 lbs (250 to 350 grams), which is only 5 to 6% of the total weight of the bird. The bones are extremely light, because they are hollow, and the feathers weigh twice as much as the bones (American Bald Eagle Information). The bald eagle\u2019s average body temperature is 106 degrees Fahrenheit (41 degrees Celsius). Bald eagles have a massive wingspread of about 7 feet (2.13 meters), according to the U.S. Fish and Wildlife Service. Their bodies are much smaller, though, at only 34 to 43 inches (86 to 109 centimeters). Normally, bald eagles weigh 6.5 to 14 pounds (3 to 6.5 kilograms). Query: how does a bald eagle get a its speed\n", "labels": "The bald eagle reaches speeds of 56\u201370 km/h when gliding and flapping, and about 48 km/h while carrying fish. Its dive speed is between 120\u2013160 km/h, though it seldom dives vertically.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-0cbc173eef484da1b89d7ac89cc7fc7b"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Law School. If you\u2019re able to enroll in law school as a full-time student, you can expect to complete the program in three years. Attending law school on a part-time basis is an option at many law schools, but it does mean you\u2019ll be studying for four rather than three years. Some states, such as Colorado, don\u2019t even require that you attend law school. How long does it take after submitting an application to get accepted at USA universities? How long does it take to get a law degree in the UK? Why does law school take so long to finish? Students wishing to become attorneys often ask the question, How long does it take to get a law degree? The answer to that question is varied depending on the path a law student chooses to take. The first step in the educational timeline starts when obtaining a bachelors degree. Soon after graduating from, law school, you\u2019ll need to sit for the bar exam in your state, or in the state where you want to practice law. Studying for the bar exam will likely consume two to three months of your time and will take an additional few months to get the results. Most people who pursue a career as a lawyer generally take the traditional path of earning a bachelor\u2019s degree followed by three years of law school. The amount of time this actually will take you depends on whether you attend school full-time and pass the bar exam on the first try. Next it depends on whether you're a Presumptive Admit, Presumptive Deny, or Discretionary Admit. Presumptive admits and denies can take 2 to 4 weeks after the application is ready for review, depending on the backlog. Once, in the third week of February about 15 years ago, I was visiting Duke Law School's admissions office. What does Yale Law School look for in applicants? How hard is it to get into Harvard Law School? How long does it take to become a lawyer, from once you start law school till you start practising? What score do you need to have to get accepted into law school? Why did it take this long for schools to make laws in schools? This portion of the process can take up to a year due to study time and available testing dates. A student would do well to begin this process while they are earning their undergraduate degree. The final phase of a law degree is law school. Law school programs are typically three years. Unlike a student's undergraduate degree, law school does not allow a student to choose their own pace. Law students are required by most law schools to complete the law program in three years. Under special circumstances, an extension may be permitted but that is not the norm. Taking all the above factors into account, the shortest path to law school is approximately six years. , J.D. 35 years in law school admissions. Published, quoted, wined and dined. It depends on how good your application is, whether you had an admissions consultant line things up, and whether the school needs money. Law school takes 3 years to earn your J.D. if you're going full time. Then, you have the option of completing the LLM program, which is an extra year to get specialized in a particular field of law. If going part time as a night student, it will take 4 years to earn a J.D.. Three years. Four years at least. Query: how long does law school take?\n", "labels": "A Law School takes three years to complete.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-bed6e4e5d1dd498f928fdc351314da87"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Acoording to vedic astrology , Rashi for the name Aashvi is Mesh and Moon sign associated with the name Aashvi is Aries. The name Aashvi has Fire element. Mars is the Ruling Planet for the name Aashvi. The name Aashvi having moon sign as Aries is represented by The Ram and considered as Cardinal . Normally, people with the name Aashvi are energetic, courageous and determined. Popularity of the Name. The name Kashvi is ranked on the 65,599th position of the most used names. It means that this name is rarely used. We estimate that there are at least 1600 persons in the world having this name which is around 0.001% of the population. The name Kashvi has six characters. It means that it is relatively medium-length, compared to the other names in our database. We are thankful for all the contribution on meaning of girl name Aashvi. What does the name Aashvi mean in other origin if you know then please suggest. Further suggestion or detail on what is the meaning of name Aashvi. History of name and famous personality with Aashvi will help to update our database and other website users. Acoording to vedic astrology , Rashi for the name Aashvi is Mesh and Moon sign associated with the name Aashvi is Aries. The name Aashvi has Fire element. Mars is the Ruling Planet for the name Aashvi . The name Aashvi having moon sign as Aries is represented by The Ram and considered as Cardinal . Normally, people with the name Aashvi are energetic, courageous and determined. User Contributed Meanings for Aashvi [Report Abuse] The baby boy or baby girl name Aashvi comes from the Indian word which means, Unknown. Unknown word which means, holy essence. Unknown word which means, holy essence. Unknown word which means, Unique. Someone also suggested the name is an English word which means, holly essence. English word which means, Holy Spirit. Numerological Meaning (For Entertainment Purposes Only) People with this name tend to be very warm and nurturing. They are extremely reliable and are often found taking care of others. Meaning: Shining. Please feel free to read what others say about this name and to share your comments if you have more information. N.B. Sometimes it happens that another name has the same meaning. There is nothing surprising in this: both names have the same origin or the same numbers of numerology. Name Compatibility Test The highest recorded use of the first name Ashvi was in 2010 with a total of 5 babies. Weird things about the name Ashvi: Your name in reverse order is Ivhsa. A random rearrangement of the letters in your name (anagram) will give Iasvh. Fun Facts about the name Ashvi. How Popular is the name Ashvi? Ashvi is the 72,819 th most popular name of all time. How many people with the first name Ashvi have been born in the United States? From 1880 to 2016, the Social Security Administration has recorded 10 babies born with the first name Ashvi in the United States. Aashvi name religion, origin & details: Name Aashvi or (Aashvi) means Blessed and Victorious. This name comes under number 17, so Astrology can describe lot information about Aashvi. ... You have the capacity to make a person for you that means you are really capable to make understand anything very well. Aashvi is baby girl name mainly popular in Hindu religion and its main origin is Hindi. Aashvi name meanings is Blessed and victorious, Little mare. People search this name as Aashvi, Aashvik. Aashvi is written in Hindi as \u0906\u0936\u094d\u0935\u0940 . Other similar sounding names can be Aashif, Ashva, Eashav, Yashvi, Yashvy. What year were 5 or more babies first named Ashvi? The name was first given to 5 or more babies in the year 2010 when it was given as a first name to 5 new born babies. What year had the most people named Ashvi born? The highest recorded use of the first name Ashvi was in 2010 with a total of 5 babies. Weird things about the name Ashvi: Your name in reverse order is Ivhsa. A random rearrangement of the letters in your name (anagram) will give Hsaiv. Query: aashvi name meaning\n", "labels": "Name Aashvi means Blessed and Victorious.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-b7f07cb1050743a9be0223fe0a905c52"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: how long animals are pregnant for here are some animals who are pregnant for years or months. An Indian elephant is pregnant for 624 days, a black rhino is pregnant for 504 days, a giraffe is pregnant for 425 day, a gray rhino is pregnant for 480 days, and a camel is pregnant for 400 days. Ryan, Tom. (n.d.). How Do Birds Conceive? Animals - mom.me. Retrieved from http://animals.mom.me/birds-conceive-9240.html Sunday, May 2, 2010. how long animals are pregnant for. here are some animals who are pregnant for years or months. An Indian elephant is pregnant for 624 days, a black rhino is pregnant for 504 days, a giraffe is pregnant for 425 day, a gray rhino is pregnant for 480 days, and a camel is pregnant for 400 days. Ryan, Tom. How Do Birds Conceive? accessed February 13, 2018. http://animals.mom.me/birds-conceive-9240.html Eggs: when and how they develop - Hancock Wildlife Foundation Egg Me. [...] 4 day journey down the oviduct that the yolk gets surrounded by \u2026 Excerpt from:\u00e2 Eggs: when and how they develop - Hancock Wildlife Foundationtags: beta, fet, gets-surrounded, not-scheduled, now-starts, oviduct, preventing-further, [...] [read more] A sheep is pregnant for 150 days, a goat for 145 days, a pig is pregnant for 114 days, a lion 108, A scorpions are pregnant for 90-540 days, a cat is for 58-65 days, a dog is for 50-70 days, a bobcat is pregnant for 60 days, a golden eagle is for 44 days. Because most birds do not have penises, the sex act and consequent conception are slightly different than in a mammal. They release sperm from the cloaca, a small posterior opening. Females also have a cloaca, which they use to receive sperm. Copulation is non-penetrative, and lasts only a few seconds. Ryan, Tom. How Do Birds Conceive? Animals - mom.me, http://animals.mom.me/birds-conceive-9240.html. Accessed 13 February 2018. The time sperm remains viable in the oviduct or infundibulum is not precisely known and it is probably variable. However, in other species the viability of sperm drops off after about 10 to 15 days. Generally it is believed that the effective mating takes place about 4 to 10 days before an egg is laid. The egg journey down the oviduct is about 3 days. It is during the first day immediately following when the yolk erupts from the ovary and is swallowed up by the infundibulum that most fertilization takes place. Reproductive Organs. While birds have the same internal organs that allow creatures like humans to conceive, such as testes and ovaries, one organ is often conspicuously absent: the penis. In most species, males do not have penises, and their testes are housed deep inside the body rather than in a dangling scrotum. Query: how long are eagles pregnant for\n", "labels": "A golden eagle is pregnant for 44 days.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-e76995c01e954dd0879a976a59e7c88c"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Platelets are the smallest of the three major types of blood cells. 1  Platelets are only about 20% of the diameter of red blood cells. The normal platelet count is 150,000-350,000 per microliter of blood, but since platelets are so small, they make up just a tiny fraction of the blood volume. This news release contains forward-looking statements, including statements related to the potential medical benefits of Soliris \u00ae (eculizumab) for the treatment of generalized myasthenia gravis (gMG), and Alexion's future clinical, regulatory and commercial plans for Soliris for the treatment of myasthenia gravis. Seek emergency medical attention or call your doctor right away if you notice any of these symptoms of meningitis: 1  headache and fever with nausea or vomiting; 2  high fever (103 degrees or higher), body aches, flu symptoms; 3  confusion, increased sensitivity to light; or. 4  stiffness in your neck or back. During treatment with eculizumab and for at least 3 months after your last dose, make sure any doctor who treats you knows that you are using this medicine. Eculizumab can have long lasting effects on your body. variable regions. Eculizumab is composed of two 448 amino acid heavy chains and two 214 amino acid light chains and has a molecular weight of approximately 148 kDa. Eculizumab is produced in a murine myeloma (NS0 cell line) expression system and purified by affinity and ion exchange chromatography. The bulk drug substance manufacturing process also Soliris (eculizumab), produced by US pharma company Alexion, is used to treat patients with paroxysmal nocturnal haemoglobinuria (PNH) and atypical haemolytic uraemic syndrome (aHUS). Eculizumab is a monoclonal antibody. Eculizumab binds to proteins in the blood that can destroy red blood cells in people with genetic conditions that affect the natural defenses of red blood cells. Eculizumab is a monoclonal antibody. Eculizumab binds to proteins in the blood that can destroy red blood cells in people with genetic conditions that affect the natural defenses of red blood cells. Eculizumab is used to prevent the breakdown of red blood cells in people with paroxysmal nocturnal hemoglobinemia (PNH). You should not use this medication if you have bacterial meningitis or if you have not been vaccinated against meningitis. Tell your doctor if you have a fever or any type of infection. 1 Before starting eculizumab treatment, make sure you tell your doctor about any other medications you are taking (including prescription, over-the-counter, vitamins, herbal remedies, etc.). 2  While taking eculizumab, do not receive any kind of immunization or vaccination without your doctor\u2019s approval. Patients received meningococcal vaccination prior to receipt of Soliris. In all studies, the dose of eculizumab was 600 mg every 7 \u00b1 2 days for 4 weeks, followed by 900 mg 7 \u00b1 2 days later, then 900 mg every 14 \u00b1 2 days for the study duration. Soliris was administered as an intravenous infusion over 25 \u2013 45 minutes. The metabolism of eculizumab is thought to occur via lysosomal enzymes that cleave the antibody to generate small peptides and amino acids. The volume of distribution of eculizumab in humans approximates that of plasma. Chemistry. Eculizumab is a recombinant humanized monoclonal antibody against the complement protein C5. It is an immunoglobulin G-kappa (IgG\u03ba) consisting of human constant regions and murine complementarity-determining regions grafted onto human framework light and heavy chain variable regions. Query: how is eculizumab produced\n", "labels": "Eculizumab is produced in a murine myeloma, NS0 cell line expression system and purified by affinity and ion exchange chromatography.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-096c08a3d7e5481aa82b7ae4fc31f4d3"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: Valium Long-Term Effects. Heavy use of Valium over an extended period of time can have powerful effects on the brain and body. These effects can be permanent and, in some cases, life-threatening. The long-term effects of Valium include: Memory loss. Hallucinations. Difficulty breathing. Slowed pulse. Coma. Heart attack. The half-life of Valium is fairly long \u2013 it can take 20 hours or more for just half of the medication to be eliminated from your system. However, just because it\u2019s not completely eliminated after 20 hours doesn\u2019t mean it\u2019s still effective. Valium Long-Term Effects Heavy use of Valium over an extended period of time can have powerful effects on the brain and body. These effects can be permanent and, in some cases, life-threatening. So you would actually have to account for the elimination of N-desmethyldiazepam. It takes 5.5 x elimination half lives (hours) for a medicine to be cleared from your system, therefore Valium or it's active metabolite will be in your system for 550 hours (5.5 x 100hrs) i.e. approximately 23 days. Both temazepam and oxazepam have a modest half-life of 8-9 hours. Due to the long half-life of diazepam it works for a significant period of time. Most of the effects last about 6-8 hours, after that time Valium and its active metabolites continue to exert very subtle and very mild effects that are often unnoticed. Valium affects the levels of gamma-aminobutyric acid (GABA) in the brain, helping to slow down and stop abnormal brain activity. This results in a calming effect, and sometimes feelings of euphoria. It helps reduce anxiety, cause sleepiness, relax muscles, stop seizures, and more. Depends on the strength. A 10mg will kick in around 30 to 60 minutes after ingesting and last about 4-6 hrs. It stays in your system for over 100+ hours, although the effects \u2026are gone after 6 hrs. It really took the edge off my fear (40 min in the machine) but there is not easy way to tell when it actually wears off. about 2 hours after i took it a had a nap which turned out to be a pretty deep 2 hour affair :-) when i got up i would say for sure there was nothing left of the Valium... How long a drug stays in your system depends mainly on it's elimination half life. For Valium (diazepam) the initial distribution phase is followed by a prolonged terminal elimination phase (half-life up to 48 hours). The terminal elimination half-life of the active metabolite N-desmethyldiazepam is, on average, 100 hours. Side Effects. When used properly, Valium does not produce the same effects as it does when abused/misused. Valium has side effects with proper use, but these are temporary and should go away after a few standard doses. The Dangers of Valium For 13 years, Valium was the most prescribed drug in America. Query: how long do effects of valium last in the body\n", "labels": "Most of the effects last about 6-8 hours, after that time Valium.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-8ec9666e19124eff87657a9bcc8bb5d4"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: To do so: 1  Get a spray bottle and fill it with conditioner and distilled water (tap water if distilled isn\u2019t available). 2  Mist hair lightly with conditioner mixture. 3  Finger detangle and place hair into 5\u00d75 inch sections. 4  Spray a section, and with an extra wide tooth comb, gently from ends to root, comb ridding the section of all loose hair. Shampoo & Condition. After prepoo, proceed to shampooing. At this point, you want to use a clarifying shampoo, but one that doesn\u2019t dry the hair out. (Shampoo secret: If you have a shampoo that clarifies to the point of drying out the hair, use it equal parts with another moisturizing shampoo or add a little conditioner to it. All you have is some old virgin hair you wore a few months ago or the hair that\u2019s currently installed now. Ladies, we are discussing \u201cHow to Bring that Old Virgin Hair Back!\u201d Yes it is possible to bring it back, but you are going to have to do some work. First you will need to wash and deep condition the hair. In Growing Long Natural Hair, Natural Hair Care, Natural Hair Styles, Protective Hairstyles, Weave/Extension On 05/26/15 While protective styling seems to be growing in popularity, and is a great way to minimize manipulation of strands and retain length, they can be damaging if not maintained properly. (Human hair is made of the same properties as out own hair, so it made sense to treat it the same way I would my natural hair--and don't laught, but I even use a reconstructor on my weave!) I'm going on a month with weave and I'm thinking should I incorporate deep conditioning (with heat) and even a MILD reconstructor into my regimen for the cornrowed hair underneath. I just hate going this long without one . A conflict of course is being able to rinse it out THOROUGHLY from the cornrows. How to Bring that Old Virgin Hair Back! 1  Don\u2019t worry to much what the hair looks like when dry. Have your hair installed and then get to work! 2  Once your hair is installed, it will need to be blow dried with a paddle brush. Paddle brush blow dry for about 15 mins. Before you get a sew-in, make sure to deep condition the weave. Begin by washing it in warm water. Apply a deep conditioner to the weave from roots to ends. And then place the hair inside a plastic cap or bag. After 10-20 minutes, rinse off any excess conditioner and air dry. To deep condition sewn-in weave, you again want to wash the weave and braids with warm water. If there is product build-up on the braids, use a clarifying shampoo. Apply the deep conditioner and place a plastic cap over your head with all the weave inside. PrincessM, I have often wondered this myself. I wasn't even sure if you could do the same with braids or not. Currently I am also going on a month with a sewn-in weave and I didn't what deep conditioner I should use. How I deep condition my virgin hair part 2/2 - Duration: 4:52. Camille Rhone 21,283 views Love your avi BTW yes you should deep condition at least once a week. Will keep your own hair nice and soft otherwise it may get dry and brittle. Just massage very slowly in between the tracks. Do it when you are also deep conditioning your weave and then leave in for about 5-7 minutes (massage your scalp during this period its great for hair growth as it stimulates blood supply into your hair follicles) and then rinse it out very thoroughly. Query: how long to deep condition weave\n", "labels": "You should deep condition weave for 10 to 20 minutes.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-777bab559df04025bcd6d7de460d6a68"}, {"text": "Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.\nInput: International Day of the Dead events: Canada: Evergeen's 7th Annual D\u00eda de Muertos. November 5, 2017(10:00am - 3:00pm). Altars, Mexican market, crafts, live music & traditional dancing. 416.596.7670: Evergreen Brick Works 550 Bayview Avenue Toronto, Ontario: England: Mexican Day of the Dead Celebrations. October 29, 2017 (10:00am-5:00pm). History of Day of the Dead ~ D\u00eda de los Muertos Day of the Dead is an interesting holiday celebrated in central and southern Mexico during the chilly days of November 1 & 2. Even though this coincides with the Catholic holiday called All Soul's & All Saint\u2019s Day, the indigenous people have combined this with their own ancient beliefs of honoring their deceased loved ones. How to Celebrate D\u00eda de los Muertos (Day of the Dead) Two Methods: Honoring Your Loved Ones Making Ofrendas (Offerings) Community Q&A. D\u00eda de los Muertos (Day of the Dead) is a holiday celebrated in Latin American countries and is especially popular in Mexico. Originally celebrated in the summer, it moved to Nov. 1 and 2 to coincide with All Saints Days and All Souls Day. Day of the Dead is still celebrated throughout Mexico and has even gone Hollywood: Daniel Craig's James Bond pursued a baddie through Mexico City during a massive Day of the Dead carnival in 2015's Spectre. The 2014 film The Book of Life features a Day of the Dead theme and animation filled with calacas (skeletons) and calaveras (skulls). Over the last several years, a growing number of people of Mexican and other Latin American descent have celebrated Day of the Dead throughout the U.S. The Mexican diaspora to the states during the 1990s through the early 2000s largely contributed to that, says Alberto Fierro, executive director at the Mexican Cultural Institute. Celebrating The Day of the Dead has a long history in Mexican Tradition. The Day of the dead is celebrated on November 2nd. Sometime one hears reference to \u201cthe days of the Dead\u201d which refers to the Days of October 31 \u2013 November 2. October 31 is Halloween or All Hallows eve. November 1 is \u201cel Dia de los innnocentes\u201d or the day of the children and All Saints Day. November second is All Souls Day or the Day of the Dead. The Day of the Dead, a Mexican holiday marked by dancing skeletons, homemade altars and candied skulls, continues to grow on this side of the border. The observance honoring the deceased has its roots in pre-Hispanic indigenous cultures, says Raul de Molina, host of the Univision news-entertainment show, El Gordo y La Flaca. Chiles, Chocolate & Day of the Dead Festival! October 27 & 27, 2017 (9:00am - 4:00pm) See site for activities and entertainment. Why Mexicans celebrate the Day of the Dead. Mexico's peculiar relationship with death reveals a complex heritage born of a tumultuous past. Tuesday 2 November 2010 10.30 EDT First published on Tuesday 2 November 2010 10.30 EDT. Mexicans visit cemeteries, decorate the graves and spend time there, in the presence of their deceased friends and family members. 1  They also make elaborately decorated altars (called ofrendas) in their homes to welcome the spirits. Query: how is day of the dead celebrated\n", "labels": "The Day of the Dead is celebrated by Honoring Your Loved Ones Making Ofrendas.", "task_name": "task870_msmarco_answer_generation", "task_category": "question_answering", "id": "task870-42de8e75d5814d9a93830718256da277"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: This inflammation begins before patients reach the age of 16, and symptoms must last more than 6 weeks to be called chronic. JIA may involve one or many joints, and may also affect the eyes. It can cause other symptoms such as fevers or rash. Systemic onset JIA affects about ten percent of children with arthritis. Fast Facts. 1  Arthritis in children is treatable. 2  In spite of their diagnosis, most children with arthritis can expect to live normal lives. 3  Some children with JIA have their disease go into remission. 4  Federal and state programs may provide assistance with school accommodations or services. Both of these scenarios are more common in childhood inflammatory arthritis (juvenile rheumatoid arthritis). When four or more joints are inflamed, the condition is referred to as polyarthritis. When only a few joints are inflamed, it is referred to as oligoarthritis. Other early symptoms of rheumatoid arthritis. During the early states of RA, you may feel a variety of symptoms, including: general weakness or a feeling of malaise; dry mouth; dry, itchy, or inflamed eyes; eye discharge; difficulty sleeping; chest pain when you breathe (pleurisy) hard bumps of tissue under the skin on your arms; loss of appetite; weight loss Juvenile idiopathic arthritis (juvenile rheumatoid arthritis or JRA) annually affects one child in every thousand. There are six types of JIA. Treatment of juvenile arthritis depends upon the type the child has and should focus on treating the symptoms that manifest. Other early symptoms of rheumatoid arthritis During the early states of RA, you may feel a variety of symptoms, including: general weakness or a feeling of malaise Rheumatoid arthritis is an autoimmune disorder that causes chronic inflammation of joints. Rheumatoid arthritis (RA) tends to begin slowly with minor symptoms that come and go, usually on both sides of the body, and progress over a period of weeks or months. Symptoms of this chronic disease vary from person to person and can change from day to day. Rheumatoid arthritis often begins slowly with minor symptoms that come and go, usually on both sides of the body, and progress over a period of weeks or months. Newsletter Early Signs of Rheumatoid Arthritis There are over 100 types of arthritis, including osteoarthritis, rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis, lupus, gout, and pseudogout. Biologics Biologic Drug Class A biologic drug is a product that is produced from living organisms or contain components of living organisms. Top Rheumatoid Arthritis Early Symptoms Related Articles Aches, Pain, Fever Although a fever technically is any body temperature above the normal of 98.6 F (37 C), in practice, a person is usually not considered to have a significant fever until the temperature is above 100.4 F (38 C).\n", "labels": "early symptoms of juvenile rheumatoid arthritis", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-12b6242dd222437b98db84c7f2e8cf60"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: No, it is made of rock but it is made up of many plates that move around the place cause earthquakes. The crust is rock but it is not solid all the way around. The plates are \u2026called tectonic plates and if you search tectonic plates of the world it should tell you where they are and what they are made up of. The lithosphere is the solid, outer part of the Earth, extending to a depth of about 100 kilometers (62 miles). The lithosphere includes both the crust and the brittle upper portion of the mantle. The lithosphere is both the coolest and the most rigid of Earth\u2019s layers. Best Answer: .Lithosphere is the outermost layer of the earth's crust. Lithosphere is the only part of the earth that is accessible to us. Lithosphere is cold, solid and rigid whereas as Asthenosphere is partially molten. The lithosphere is broken up into large solid plates called tectonic plates. These tectonic plates move around which are the basis of plate tectonics. Pieces Of The Lithosphere. Plate tectonics. tectonic plates. it's tectonic plates notjust plates or tectonics trust me i have 102% in science. Tectonic plates. The lithosphere is the solid and rigid outer layer of our planet. It includes the crust and part of the upper mantle that contains rigid rocks. Beneath this layer is the asthenosphere where the rocks in this part of the upper mantle are not rigid. The rocks can flow like a liquid or break apart similar to silly putty. But the surface of Earth is only the very top of the lithosphere. If you look at the cut-away globe above, you can see the rest of the lithosphere with its many layers like an onion. The very thin crust on top, the thick mantle underneath, and the huge core of liquid iron at the center. You must be careful with the word lithosphere, though. It is tricky! Lithosphere has different meanings. As we are using it here, it means both the rocky surface and the whole inside of Earth. But the deep interior of Earth is very hot, and even though the rocks there are mostly solid, they can flow over long periods of geologic time like soft butter. The crust and the upper layer of the mantle together make up a zone of rigid, brittle rock called the Lithosphere. The layer below the rigid lithosphere is a zone of asphalt-like consistency called the Asthenosphere. The asthenosphere is the part of the mantle that flows and moves the plates of the Earth. When the secondary waves and primary waves reach the earth's surface, it creates rolling waves like ocean waves called _____. The topmost, solid part of the earth is called the lithosphere. The  lithosphere is underlain by the asthenosphere, which is the deeper,  hotter, and weaker part of the uppe\u2026r mantle. Plate tectonics. Plate tectonics (from the Late Latin tectonicus, from the Greek: \u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc\u03c2 pertaining to building) is a scientific theory describing the large-scale motion of seven large plates and the movements of a larger number of smaller plates of the Earth's lithosphere, over the last hundreds of millions of years. These are the smaller but very important plates that have cause great earthquakes in the past. 1  Arabian Plate. 2  Caribbean Plate. 3  Cocos Plate, Indian Plate. 4  Juan de Fuca Plate. 5  Nazca Plate. 6  Philippine Sea Plate. 7  Scotia Plate.\n", "labels": "earth lithosphere is made of huge pieces of solid rock called", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-4c2ec133b130485b80d69222f2fd0aff"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: Ds Services of America, Inc. is the only company located at 4718 Mccarty Blvd, Amarillo, TX 79110 Ds Services Of America, Inc. is a bottler located in Katy, Texas. View phone number, employees, products, revenue, and more. The heat map shows the distribution of DS Services of America Inc. H-1B job locations for all occupations in 2014. If you click on the All Occupations drop down, you can choose a specific occupation to see the geographical distribution for that particular SOC code. Ds Services of America, Inc. Company Profile Whether your glass is half empty or half full, DS Services of America (formerly DS Waters) works to fill it up. The nation's largest water-cooler delivery company, DS Services supplies both homes and offices through its nearly 30 company-owned manufacturing sites across some 40 US states and through 10 supplier-managed facilities. Unlock more access to D&B Hoovers! 1  Build customized email lists 24/7, based on your best customer profile. 2  Learn more about the companies you want to sell to. 3  Get real insight written by real people \u2013 exclusive research and reviews by our in-house Editorial staff. United States. Ds Services Of America, Inc. is a mature organization in the bottlers industry located in Katy, TX. DS Services. DS Services of America, Inc. (DS Services) is a U.S. operated company that offers bottled water, brewed coffee and tea beverages and related equipment, break room supplies, and equipment and services for water filtration systems. BBB's Business Profile for DS Services of America, Inc., Business Reviews and Ratings for DS Services of America, Inc. in Atlanta, GA. Home > Georgia > Atlanta > Bottled Water Companies > DS Services of America, Inc. has received 3.7 out of 5 stars based on 118 Customer Reviews and a BBB Rating of A+. I have been working at DS Services of America full-time (More than 3 years) Pros Consistent paycheck Good for someone coming right out of college to gain professional experience Clean and quiet work enviornment Position is fairly straightforward Decent co-workers United States. Ds Services Of America, Inc. is a large-sized organization in the direct selling establishments industry located in Atlanta, GA. It opened its doors in 2014 and now has an estimated $1.5 billion in yearly revenue and 5,500 employees.\n", "labels": "ds services of america, inc", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-15733c9d7e204d4face18b0669e4c4fd"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: As a result, you might experience: 1  Damaged and narrowed arteries. High blood pressure can damage the cells of your arteries' inner lining. 2  Aneurysm. Over time, the constant pressure of blood moving through a weakened artery can cause a section of its wall to enlarge and form a bulge (aneurysm). The damage can build over time. The excess strain and resulting damage from high blood pressure (HBP or hypertension) causes the coronary arteries serving the heart to slowly become narrowed from a buildup of fat, cholesterol and other substances that together are called plaque. This slow process is known as atherosclerosis. High blood pressure with a known cause is called secondary hypertension. Between 5% and 15% of people with high blood pressure have secondary hypertension. In many of these people, high blood pressure results from a kidney disorder. Many kidney disorders can cause high blood pressure because the kidneys are important in controlling blood pressure. Learn from the CDC about the four ways that high blood pressure (hypertension) can hurt your heart and brain\u2014and even kill you. Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content Although the integral of the brachial systolic and diastolic blood pressure values over the 90 minutes was larger ( P <0.05) after caffeinated than decaffeinated coffee intake, the effect on aortic systolic and diastolic blood pressures was more pronounced ( P <0.05) than on the brachial artery. Hypertension, also known as high blood pressure, is a long-term medical condition in which the blood pressure in the arteries is persistently elevated. High blood pressure usually does not cause symptoms. Long-term high blood pressure, however, is a major risk factor for coronary artery disease, stroke, heart failure, atrial fibrillation, peripheral vascular disease, vision loss, chronic kidney disease, and dementia. High blood pressure is classified as either primary high blood pressure or seco In these situations, high blood pressure can cause: 1  Memory loss, personality changes, trouble concentrating, irritability or progressive loss of consciousness. 2  Stroke. 3  Severe damage to your body's main artery (aortic dissection) 4  Chest pain. 5  Heart attack. High blood pressure dangers: Hypertension's effects on your body High blood pressure is a risk factor for more than heart disease. Discover what complications high blood pressure can cause. High blood pressure can result in problems that affect the brain, kidneys, heart, and blood vessels. This eMedTV Web page describes the effects of high blood pressure on these vital organs in more detail. Main Content: Your arteries and high blood pressure High blood pressure The arteries are the large blood vessels that carry blood from the heart to all the organs and muscles of the body, to give them the energy and oxygen they need. The arteries manage the flow of blood by controlling the speed and direction it flows in.\n", "labels": "effect of hypertension on arteries", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-4abd4f651e0140b59d828405721eb472"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: The health benefits of blueberries are astounding and much of that is due to their amazing ORAC score. Blueberry benefits the skin, cancer, pregnancy and heart health. The health benefits of blueberries are astounding and much of that is due to their amazing ORAC score. Blueberry benefits the skin, cancer, pregnancy and heart health. Dr. Axe Aside from the fact that blueberries can save skin from the serious dangers of free radical damage, they\u2019re also 85% water, which means they can help to keep skin hydrated from the inside out. How to Eat Them: Blueberries can be combined with plenty of other anti-aging food and included in tons of healthy recipes for older adults\u2014try adding blueberries to yogurt, oatmeal, salad, or a smoothie. Blueberries are not only popular, but also repeatedly ranked in the U.S. diet as having one of the highest antioxidant capacities among all fruits, vegetables, spices and seasonings. Antioxidants are essential to optimizing health by helping to combat the free radicals that can damage cellular structures as well as DNA. Blueberries contain a plant compound called anthocyanin. This gives blueberries both their blue color and many of their health benefits. Blueberries can help heart health, bone strength, skin health, blood pressure, diabetes management, cancer prevention, and mental health. One cup of blueberries provides 24 percent of a person recommended daily allowance of vitamin C. Apart from these blueberries have so many more benefits of blueberries observed on smaller scale studies, like lowering blood pressure, decreasing risk for glaucoma, reducing intraocular pressure \u2013 the list goes on, but the fact remains that blueberry is the must have fruit in your diet chart. The antioxidants and phytochemicals found in blueberries help to neutralize free radicals, which might otherwise damage skin cells, leaving your skin with a younger and softer look and feel. A diet high in fat and carbohydrates can also encourage skin aging, so blueberries prevent aging by providing you with many needed nutrients while providing very low levels of fat and cholesterol. It takes hardly any effort to add a serving or two of these juicy gems to your diet, and thanks to skin care companies such as OZNaturals that now incorporate pure blueberry extract into their products, you can double the beautifying effects of blueberries for your skin. Blueberry fruit is LIKELY SAFE for most people when consumed in food amounts. There is not enough reliable information about the safety of taking blueberry leaf by mouth. It is best to avoid taking leaves. Special Precautions & Warnings: Pregnancy and breast-feeding: Blueberry fruit is LIKELY SAFE when used in Having a healthy skin is just not sufficient, one must have an even skin tone too. An uneven skin tone will show different colors on the skin and will take away the charm from you. Blueberries are a must to achieve the even skin tone. Here is the recipe: Ingredients You Need: Take 2 cups of blueberries in a container and crush it off. Add 2 cups of honey to it. Add 2 cups of yogurt to it. Add 1 teaspoon of oatmeal to it. It is also vital for the health of the blood vessels, skin and bones. The vitamin C content in blueberries will decrease significantly if you store the berries in a warm, well-lit location, or if you do not eat them within three to four days of purchase. Choose frozen blueberries if you do not plan on eating the fruit promptly.\n", "labels": "effect of blueberry on the skin", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-84235662a2b14921bf83e62be60ded64"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: World Map / Italy Map / Distance Calculator / Distance from Venice Veneto to Milan Lombardy Driving Distance from Top Cities in France. Our road-trip planning endeavors continue in the following section where we have uncovered driving distances in Europe for travelers planning a trip to the fabulous country of France. Discover some of Europe's most popular driving routes with our France driving distance guide. Re: Driving to Rome from Milan along the coast Jun 10, 2010, 3:43 AM No, I meant 6 hrs Milano - Roma on the Genoa route, and I don't mean estimates etc. but actual experience, and not only once. Approx distance in miles from Venice to Milan is 151 miles or 242.96 KMS This page was designed to give you a good indication of the distance from Venice to Milan. Distances from Venice to Milan are a rough measure only showing the shortest distance as the crow flies, using longitudinal and latitudinal points. Recent Conversations. 1  St marks bell tower 9:48 pm. 2  Nice suburb near Venice where we can park 9:14 pm. 3  Venice Film Festival 2017 - need assistance with purchasing 7:54 pm. 4  Burano Italy 7:48 pm. 5  Vivaldi church - hello again you experts 7:42 pm. 6  Attractions pass 5:41 pm. 7  St. Mark's Basilica Tour 5:32 pm. 8  Venice to switzerland 5:27 pm. Driving to Venice from Milan - Venice Forum. Driving to Venice from Milan. I will be renting a car in Milan for 5 days and I would like to drive to Venice for a day. I inderstand that the only wheels allowed in Venice are the ones on your luggage. Will it be wise for me to drive there from Milan and if so how long will it take me. Milan, IT: 45.5928 12.1728: Venice, IT: 45.4371 12.3326: Miles: 13.24: Kilometers: 21.31: Bearing: SE Driving distance from Milan, Italy to Venice, Italy. The total driving distance from Milan, Italy to Venice, Italy is 167 miles or 269 kilometers. Your trip begins in Milan, Italy. It ends in Venice, Italy. If you are planning a road trip, you might also want to calculate the total driving time from Milan, Italy to Venice, Italy so you can see when you'll arrive at your destination. Check the Flight distance between Venice and Milan. With the road route plan from Venice to Milan you might also want to know the Travel timeYou can find the the Travel Time from Venice to Milan. This will help you estimate how much time you will spend driving from Venice to Milan. Whether you're looking for the driving distance from Venice to Rome or any destination in between, rely on Auto Europe to help you find the most direct route for your trip! Italy Driving Distance Table\n", "labels": "driving distance venice to milan", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-097ed6e1335d42349904dbe1e32e5535"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: What types of crime are explained by the principles of self-control theory? The self-control theory applies equally to all crimes, from murder to corporate theft. 5. Wilson & Herrnstein cite this factor for the choice of criminal behavior? The answer may locate at the end of this page. Gottfredson and Hirschi trace the root cause of poor self-control to ______. a. lack of education. b. inadequate child-rearing practices. c. weak social bonds. Extreme disturbance in child rearing, aggravated by family problems, poverty, lack of education, alcoholism, depression, antisocial behavior, large, poor, single-parent families. Where do most neglected cases occur? Because those with low self-control enjoy risky, exciting, or thrilling behaviors with immediate gratification, they are more likely to enjoy criminal acts. Gottfredson and Hirschi trace the root cause of poor self-control to inadequate child-rearing practices. Criminal Trajectories There are different pathways to crime and different types of criminals. Sickle cell anemia occurs in individuals with a homozygous recessive genotype in the sickle cell locus (ss). the sickling of the red blood cells can cause severe illness, but also prevents... Answer Biology For example, one begins with the definition of low self-control as the failure to refrain from crime and then proposes low self-control as a cause of law violation, thus one\u2019s proposition is tautological (Akers and Sellers, 2004:6). Critical criminology views the competitive nature of the capitalist system as a major ause of crime. The poor commit crimes because of their frustration, anger, and need. The wealthy engage in illegal acts becaue they are used to competition and because they must do so to maintain their positions in society. Gottfredson and hirschis general theory of crime gtc. 1  43 pages. 13522_Chapter15_PPT. Chapter 15 White-Collar & Organized Crime Chapter Summary Chapter Fifteen is an over. 2  32 pages. 13520_Chapter13_PPT. Chapter 13 Terrorism & Terrorists Chapter Summary Chapter Thirteen is an overview of. 3  2 pages. Terrorism & Pol Crime-notes. It is seen that low self-control develops early in life and remains stable into and through adulthood. Gottfredson and Hirschi trace the root cause of poor self-control to inadequate childrearing practices. Parents or guardians who refuse or who are unable to monitor a child\u2019s behavior, who do not recognize deviant behavior when it occurs, and who do not punish that behavior will produce children who lack self-control. Gottfredson and Hirschi explain why some who lack self-control . can escape criminality and vice versa. G. Empirical evidence supporting the general theory of crime. 1. offenders lacking in self-control commit a garden variety of. delinquent acts. 2. drunk drivers are impulsive individuals with low self-control. 3. kids who take drugs and commit delinquency enjoy engaging in. risky behaviors. 4.\n", "labels": "_______________ trace the root cause of poor self-control to inadequate child-rearing practices.", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-a310605b75664fd9b0525f3330ecb5ce"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: The doctors and health care providers below offer similar services as Dr. Rama Koslowe MD in Staten Island. Profiles may also include costs for specific services and procedures, common referrals, ratings, and reviews. Dr. Rama Koslowe, MD, is an Internal Medicine specialist in Staten Island, New York. She attended and graduated from State University Of New York Downstate Medical Center in 1980, having over 38 years of diverse experience, especially in Internal Medicine. She is affiliated with many hospitals including Staten Island University Hospital. Dr. Dr. Rama G Naidu has been primarily specialized in Internal Medicine for over 21 years of experience. Dr. Koslowe's. experience matches your search based on the following criteria: Based on total number of patients treated over the last 12 months Specializes in Dietetics Quality Reporting. 1  eRx - She does not participate in the Medicare Electronic Prescribing (eRx) Incentive Program. 2  PQRS - She does not report Quality Measures (PQRS). 3  EHR - She does not use electronic health records (EHR). 4  MHI - She does not commit to heart health through the Million Hearts initiative. DR. RAMA ZWILLENBERG KOSLOWE MD. Gender: FEMALE NPI: 1558416578 Last Updated: 2015-10-29 DR. RAMA PRASAD MULUPURI, MD is an internal medicine in Plano, TX. The provider's NPI Number is 1912003112 with a scope of practice of internal medicine Dr. Rama Koslowe, MD, rated 3.6/5 by patients. 5 reviews, Phone number & practice locations, Internist in Staten Island, NY. RAMA Z KOSLOWE, MD \u2013 NPI #1558416578. Nutritionist. A specialist in adapting and applying food and nutrient knowledge to the solution of food and nutritional problems, the control of disease, and the promotion of health. DR. RAMA ZWILLENBERG KOSLOWE, MD is a nutritionist in Staten Island, NY. The provider's NPI Number is 1558416578 with a scope of practice of nutritionist\n", "labels": "dr. rama koslowe npi number", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-82578950b5bb43828a4c7f4e821139c6"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: Meaning: Able to accomplish a purpose; functioning effectively. Synonyms: effective; efficient. Context examples: people who will do nothing unless they get something out of it for themselves are often highly effective persons... / effective personnel / an efficient secretary / the efficient cause of the revolution. Similar: In contrast to efficiency, effectiveness is determined without reference to costs and, whereas efficiency means doing the thing right, effectiveness means doing the right thing. efficacy workplace behav... Define effectivity. effectivity synonyms, effectivity pronunciation, effectivity translation, English dictionary definition of effectivity. adj. 1. a. Having an intended or expected effect. b. Producing a strong impression or response; striking: gave an effective performance as Othello. effectivity (countable and uncountable, plural effectivities) ( 1 uncountable) The ability or power to be effective. ( 2 countable) A measure of the effectiveness of something. ( 3 countable) [Technical documentation] An indication of the product, procedure, or timescale for which an item of information is applicable or effective. Related terms effect adequate to accomplish a purpose; producing the intended or expected result: effective teaching methods; effective steps toward peace. actually in operation or in force; functioning: The law becomes effective at midnight. producing a deep or vivid impression; striking: an effective photograph. adequate to accomplish a purpose; producing the intended or expected result: effective teaching methods; effective steps toward peace. 2. actually in operation or in force; functioning: The law becomes effective at midnight. 3. producing a deep or vivid impression; striking: an effective photograph. effective +\u200e -ity. Noun . effectivity (countable and uncountable, plural effectivities) (uncountable) The ability or power to be effective. A measure of the effectiveness of something. [Technical documentation] An indication of the product, procedure, or timescale for which an item of information is applicable or effective. Related terms . effect; effective I stumble upon a question from a friend about effectivity versus effectiveness as in the effectiveness of a contract. However some argue that 'effectivity' is not an English word, it is a common mistake that non-native speakers always do. Definition of effective. 1  1a : producing a decided, decisive, or desired effect an effective policyb : impressive, striking a gold lam\u00e9 fabric studded with effective \u2026 precious stones \u2014 Stanley Marcus. 2  2 : ready for service or action effective manpower. 3  3 : actual the need to increase effective demand for goods. Twitter is perfectly designed to engage our emotions because its features naturally call on our affective system \u2014 tali sharot, Time, Why People Can't Agree on Basic Facts, 19 Sep. 2017 These example sentences are selected automatically from various online news sources to reflect current usage of the word 'affective.' Views expressed in the examples do not represent the opinion of Merriam-Webster or its editors.\n", "labels": "effectivity meaning", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-9f3871fdda3d4222a3ae4dca3fe1e178"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: Get appointment information and hours of operation for Roger Yim, practicing Family Medicine doctor in Sterling Heights, MI Skip to main content Check Your Symptoms Dr. Roger Yim is a pulmonologist in Honolulu, Hawaii and is affiliated with multiple hospitals in the area, including Kapiolani Medical Center for Women and Children and Kuakini Medical Center. He received his medical degree from University of Hawaii John A. Burns School of Medicine and has been in practice for more than 20 years. Dr. Roger E Yim is a Pulmonary Disease Specialist in Honolulu, Hawaii. He graduated with honors from University Of Hawaii John A. Burns School Of Medicine in 1998. Fax: (586) 977-6084. Practice Website: Not Available. Accepting New Patients: Yes. Medicare Accepted: Yes. Medicaid Accepted: Yes Back to Results | Doctor Finder Family Medicine Michigan Sterling Heights Dr. Roger S. Yim, DO Office Info & Appointments Dr. Roger Yim is a Pulmonologist in Honolulu, HI. Find Dr. Yim's phone number, address, insurance information, hospital affiliations and more. Dr. Yim does not have any insurances listed. If you are Dr. Yim and would like to add insurances you accept, please update your free profile. Hospital Affiliation. Dr. Yim is affiliated with the following hospitals. Affiliation usually means doctors can admit patients to a hospital. Call Dr. Roger E Yim on phone number (808) 524-2100 for more information and advice or to book an appointment. 1329 Lusitana Street Suite 704 Honolulu, HI 96813-2431 (808) 524-2100 If you are Dr. Yim and would like to add insurances you accept, please update your free profile. Hospital Affiliation Dr. Yim is affiliated with the following hospitals. Having more than 20 years of diverse experiences, especially in PULMONARY DISEASE, INTERNAL MEDICINE, Dr. Roger E Yim affiliates with many hospitals including The Queens Medical Center, Kuakini Medical Center, and cooperates with other doctors and specialists in medical group The Queen's Medical Center.\n", "labels": "dr. roger yim fax number", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-151002bec3cb475599170763f4f1f811"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: Editors Contribution (0.00 / 0 votes) Rate this definition: easily. In an easy manner. He loved his sport and easily achieved his goals and aspirations. View in context. They are less easily excited off their balance; they can recognize and obey their master's voice in the scuffle and rage of battle; and they never fly into nervous hysterics such as are common, say, with fox-terriers. He has only to take care that they do not get hold of too much power and too much authority, and then with his own forces, and with their goodwill, he can easily keep down the more powerful of them, so as to remain entirely master in the country. Princeton's WordNet (2.00 / 1 vote) Rate this definition: easily, easy (adverb) with ease (`easy' is sometimes used informally for `easily') she was easily excited; was easily confused; he won easily; this china breaks very easily; success came too easy easily (adverb) without question easily the best book she's written well, easily (adverb) Tips for writers. Keep it simple - Simple English pages will be easier to read by people who do not speak English well. But that does not mean the definition has little content! Write good pages - The best dictionary pages are clear and have enough detail to help the user understand and use the word. Use the pages - These pages help people learn English. You may use pages from this Wiktionary to make pages in a different language. They are two hotheads -- the one a Gascon, the other from Picardy; both are easily excited, but they quiet down immediately. View in context They are less easily excited off their balance; they can recognize and obey their master's voice in the scuffle and rage of battle; and they never fly into nervous hysterics such as are common, say, with fox-terriers. Racism is the belief in the superiority of one race over another, which often results in discrimination and prejudice towards people based on their race or ethnicity. Today, the use of the term racism does not easily fall under a single definition. The ideology underlying racist practices often includes the idea that humans can be subdivided into distinct groups that are different due to their social behavior and their innate capacities as well as the idea that they can be ranked as inferior o Easily is defined as with little or no trouble, or very likely, or by far. 1  An example of easily used as an adverb is in the sentence, We easily put the puzzle together, which means that we put the puzzle together without any trouble. An example of easily used as an adverb is in the sentence, She is easily the most beautiful girl in the pageant, which means that she is, by far, the most beautiful girl in the pageant. easily in an easy manner; with little or no difficulty, discomfort, awkwardness, etc. in an easy manner; with ease; without trouble: The traffic moved along easily. 2. beyond question; by far: easily the best. EasyDefine was initially developed by Prabhav with the intention of reducing the time people spend looking up vocabulary words. With this website there is no need to spend countless hours looking up definitions. All one has to do is copy and paste the word list and all the words will be extracted and defined. Definitions are taken from Princeton's WordNet 3.0. EasyDefine is coded in PHP, AJAX and javascript (jQuery), using a MySQL database to store word definitions. Graphic design was done via Adobe Photoshop CS3, and CSS.\n", "labels": "easily definition", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-65f9cd9fadd44555b6a52c5bc9e8a71d"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: Medication Dose Remarks; Adenosine: 0.1 mg/kg (max 6 mg) Second dose: 0.2 mg/kg (max 12 mg) Monitor ECG; Rapid IV/IO bolus with flush; Amiodarone: 5 mg/kg IV/IO; may repeat twice up to 15 mg/kg Maximum single dose 300 mg. Monitor ECG and blood pressure (Pediatric patient: if weight not available, enter estimated weight from a length-based resuscitation tape. Consider potential implications if child appears overweight) References: Berg MD, Schexnayder SM, Chameides L, Terry M, Donoghue A, Hickey RW, Berg RA, Sutton RM, Hazinski MF. Use caution when administering with other drugs that prolong QT (obtain expert consultation) Sodium bicarbonate: 1 mEq/kg per dose IV/IO slowly. After adequate ventilation. IV indicates intravenous; IO, intraosseous; and ETT, via endotracheal tube. * Flush with 5 mL of normal saline and follow with 5 ventilations. Although color-coded resuscitation tapes simplify the task of choosing equipment and administering drugs on the basis of a child's length, limitations still exist. The Committee on Pediatric Emergency Medicine 3 x 3 Committee on Pediatric Emergency Medicine. Patient safety in the pediatric emergency care setting. Pediatrics. 2007; 120: 1367\u20131375 Expert consultation strongly recommended prior to use when patient has a perfusing rhythmUse caution when administering with other drugs that prolong QT (obtain expert consultation) Atropine 0.02 mg/kg IV/IO PHARMACOLOGY OF RESUSCITATION A list of frequently used resuscitation drugs, their preparations, and pediat- ric dosages is shown in Table 1. Administration Until recently, with the rediscovery of intraosseous infusion, the difficulty associated with obtaining vascular access in arrested pediatric patients presented a significant impediment to the administration of drugs during resuscitation. Endotracheal (ET) administration is available for lipophilic agents, such as epi- nephrine, lidocaine, atropine, and naloxone. The pharmacokinetics of endotra- Although many medications are used in Advanced life support, the only medication with proven efficacy in pediatric resuscitation is epinephrine. Despite numerous investigations, the optimal dose remains controversial. Method 2. 1  1. Gather and then assemble a pre-filled syringe (Figure 5Figure 5). 2  2. Obtain a 3-way stopcock (Figure 6Figure 6). 3  3. Remove one of the caps from the stopcock and discard it (Figure 7Figure 7). 4  4. Attach the leur lock end of the pre-filled syringe to the stopcock (you just removed that cap) (Figure 8Figure 8). The primary drugs used for pediatric resuscitation are reviewed here. Pediatric basic life support, pediatric advanced life support, and the use of naloxone in children with opioid intoxication are discussed separately: (See Pediatric basic life support for health care providers.) (See Pediatric advanced life support (PALS).) FEBRUARY 1993 22:2 PART 2 ANNALS OF EMERGENCY MEDICINE 4 4 5 / 1 7 9 PEDIATRIC RESUSCITATION PHARMACOLOGY Za~tsky Finally, a summary of research initiatives are included, including a call for the development of a multi-institutional pediatric clini- cal resuscitation research group.\n", "labels": "drugs for pediatric resuscitation", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-efaf4eb39325400395e70536b1cab986"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: PSAP 2015 \u2022 CNS/Pharmacy Practice 5 Adverse Drug Reactions Learning Objectives 1. Distinguish adverse drug reactions (ADRs) from adverse drug events. 2. Devise methods for ADR detection, and classify an ADR when it presents. 3. Discover various worldwide ADR reporting methods and learn how to report ADRs in the United States. 4. Figure 1-2. The Liverpool adverse drug reaction causality tool. aUnassessable refers to situations where the medicine is administered on one occasion (e.g., vaccine), the patient receives intermittent. therapy (e.g., chemotherapy), or is on medication that cannot be stopped (e.g., immunosuppressants). PSAP 2015 \u2022 CNS/Pharmacy Practice 9 Adverse Drug Reactions. Often, when an ADR occurs, a patient may require. transfer to a higher level of care, such as from a general. surgery ward to an intensive care unit. adverse drug reactions on initial presentation and updating this if an adverse reaction to a medicine occurs during the episode of care. > 4.7.1 Known medication allergies and adverse drug reactions are documented in the patient clinical record > 4.7.2 Action is taken to reduce the risk of adverse drug reactions > 4.7.3 Adverse drug reactions are reported within the Adverse Drug Results Policy. PURPOSE: To establish a mechanism to ensure that adverse drug reactions are systematically reported and reviewed. POLICY: All staff has the responsibility of reporting, documenting, and monitoring adverse drug reactions that occur within the facility's population. DEFINITIONS: communication of known and new adverse drug reactions (ADRs) and allergies is required in order to reduce potential for patient harm from the use of medicines. 1.3. SA Health recognises that patients may experience unpredictable adverse responses to prescribed medicines. 1.4. This policy is aimed at minimising patient harm by improvement in Preventing Adverse Drug Events . Policy developed by: Public Health and Clinical Systems . Approved at Portfolio Executive on: 25 June 2013 . Next review due: 01 June 2018 . Summary The purpose of the Preventing Adverse Drug Events Directive is to ensure that the correct information about patients\u2019 known adverse drug reactions and allergies is available and referred to : To establish a mechanism to ensure that adverse drug reactions are systematically reported and reviewed. policy : All staff has the responsibility of reporting, documenting, and monitoring adverse drug reactions that occur within the facility's population. An adverse drug reaction (ADR) is an unwanted, unde - sirable effect of a medication that occurs during usual clinical use. Adverse drug reactions occur almost daily in health care institutions and can adversely affect a patient\u2019s quality of life, often causing considerable morbidity and mortality. Much attention has been given to identifying XXXXXX Nuclear Facility. Adverse Drug Results Policy. PURPOSE. : To establish a mechanism to ensure that adverse drug reactions are systematically reported and reviewed. POLICY. : All staff has the responsibility of reporting, documenting, and monitoring adverse drug reactions that occur within the facility's population. definitions Adverse drug reaction (ADR) is any noxious, unintended, undesirable, or unexpected response to a drug that occurs at doses used in humans for prophylaxis, diagnosis, therapy of disease, or for modification of psychological function.\n", "labels": "driving what is adverse reaction policy'", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-b5cd7b3a790346ca8a3d6d34638a4a76"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: Directory of Costa Rica Ecotourism Nature Packages with an emphasis on sustainability, biodiversity and wildlife spotting. Directory of Costa Rica Ecotourism Nature Packages with an emphasis on sustainability, biodiversity and wildlife spotting. Ecotourism in Costa Rica. Cocos Island is a prime ecotourism destination in Costa Rica. A World Heritage Site, ranked among the top 77 nominees for the world's New 7 Wonders of Nature. Ecotourism in Costa Rica is one of the key activities of the tourism industry in the country. By the early 1990s, Costa Rica became known as the poster child of ecotourism. The country is among many developing nations that look to ecotourism as a way of cashing in on the growing demand for this popular trend of travel. Ecotourism draws many tourists to visit the extensive national parks and protected areas around the country. Costa Rica was a pioneer in this type of tourism, and the country is r We are qualified to custom design itineraries for travel to see Costa Rica\u2019s wildlife and birding hotspots. Sustainable Tourism Reefs to Rockies is committed to promoting the principles of sustainable tourism. Costa Rica Eco-Treks Wildlife Conservation through Sustainable Tourism. Reefs to Rockies, LLC specializes in designing and guiding customized sustainable travel itineraries to Costa Rica. Come with us and explore the cloud forests of Costa Rica on foot or by zip line, watch leatherback sea turtles hatch and break for the water, and play in the sand and surf. Costa Rica Wildlife. Take a look at some of the wildlife species that you may encounter during your trip to Costa Rica. Galleries. Browse our flora and fauna galleries and get a closer look at available accommodations. Costa Rica Lodging. Get an in-depth look at some of the eco-friendly lodging operators in Costa Rica. About Us EcoTourism in Costa Rica We believe that ecotourism should aid in conservation while benefiting local communities. All of Reefs to Rockies\u2019 efforts are attempts to ensure that local community members and wildlife at our destinations benefit from our operations there. Costa Rica Nature Packages Take a Wild Vacation! Costa Rica Ecotourism is world-famous for its progressive efforts and extensive national park system. So much, emphasis on sustainable, eco-friendly tourism. In fact, guaranteed to protect the country\u2019s natural resources for many generations. This is also why our Costa Rica Ecotourism nature packages are the perfect for the Ecotourist. Those looking to experience an incredible degree of biodiversity. Also found nowhere else on the planet. Due to its geographical location, Costa Rica acts as a bridge between the northern and southern hemisphere. EcoTourism in Costa Rica. We believe that ecotourism should aid in conservation while benefiting local communities. All of Reefs to Rockies\u2019 efforts are attempts to ensure that local community members and wildlife at our destinations benefit from our operations there. With its rich biodiversity and immense ecosystem, ecotourism in Costa Rica leads the ranks in this category of tourism. [citation needed] The country takes advantage of the growing demand for eco-tourists to visit these protected areas in exchange for profit. Ecotourism in Costa Rica. Ecotourism in Costa Rica is one of the key activities of the tourism industry in the country. By the early 1990s, Costa Rica became known as the poster child of ecotourism. The country is among many developing nations that look to ecotourism as a way of cashing in on the growing demand for this popular trend of travel.\n", "labels": "ecotourism costa rica how", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-d22beff1d8b64df3a46d960b6626a733"}, {"text": "Definition: Write a phrase, the answer to which is present in the passage. The answer to this question should be completely and unambiguously found in the passage. The query must be about a single or multiple linked entities. \nInput: The NPI Enumerator can be reached at (800) 465-3203 or P.O. Box 6059, Fargo, ND 58108 We do not guarantee the accuracy and/or reliability of the contents found on NPIdb.org. Anyone may request NPI and other health care provider information from the HHS under the FOIA. NPI Profile & details for JEFFREY A GOLD \u00b7 (Male) 1 A sole proprietor/sole proprietorship is an individual, and as such, is eligible for a single NPI number. The sole proprietor must apply for the NPI number using his or her own Social Security Number (SSN), not an Employer Identification Number (EIN) even if he/she has an EIN. Submit Review Reviews for JEFFREY A GOLD 1356452775 NPI number belongs to DR. Jeffrey Scott Gold. Jeffrey Scott Gold is located at Shrewsbury NJ with zip code 07702. Detailed information of Jeffrey Scott Gold including practice location address, status, phone number contact and so on. NPI Number 1700991114 has the Individual type of ownership and has been registered to the following primary business legal name (which is a provider name or healthcare organization name) \u2014 DR. jeffrey gold o.d.. About Dr. Jeffrey M Gold Dr. Jeffrey M Gold, DO is a Doctor primarily located in Union, NJ. He has 30 years of experience. His specialties include Cardiovascular Disease and Internal Medicine. Dr. Gold is affiliated with Overlook Medical Center. Dr. Gold has received 1 award. He speaks English. Jeffrey L Gold, MD NPI is 1083641765. The provider is registered as an individual entity type. The NPPES NPI record indicates the provider is a male. Education Medical School: TEMPLE UNIVERSITY SCHOOL OF MEDICINE Graduation Year:1973. The provider's business location address is: 1548228216 NPI number belongs to DR. Jeffrey A Gold. Jeffrey A Gold is located at Oley PA with zip code 19547. Detailed information of Jeffrey A Gold including practice location address, status, phone number contact and so on. Dr. Jeffrey Gold is one of 5 Marblehead Family Practitioners. He has been practicing for 16 years and specializes primarily in Family Medicine, practicing in Marblehead, Massachusetts. Advertisement Dr. Jeffrey A Gold, DO, rated 3.5/5 by patients. 47 reviews, Phone number & practice locations, Family Doctor in Oley, PA. Dr. Jeffrey L Gold, MD, is an Internal Medicine specialist in Clifton, New Jersey. He attended and graduated from Temple University School Of Medicine in 1973, having over 45 years of diverse experience, especially in Internal Medicine.\n", "labels": "dr. jeffrey gold npi number", "task_name": "task871_msmarco_question_generation", "task_category": "question_generation", "id": "task871-ad61cab10cf24711b4fa8814e3c6a804"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: It was a dream, then a place, then a memory. My father built it near the Suwannee River. I like to think it was in the heart of Florida, because it was, and is, in my heart. Its name was Dogland. Some people say you can know others if you know the central incidents that shaped their lives. But an incident is an island in time, and to know the effect of the island on those who land there, you must know something about the river they have traveled. And I must warn you before we begin, I don't know that river well. I visit that time and place like a ghost with poor vision and little memory. I look up the river and see fog rolling in. I look down the river, and the brightness of the approaching day blinds me. I see shapes moving behind me and beyond me, but who they are and what they do, I cannot say. I will tell what I know is true, and I will invent what I believe is true, and that, I think, is all you can ask any storyteller to do. I learned the Nix family history from the stories Pa told. Even at the age of four, I suspected that Pa's stories might not be perfectly true. When Pa said we Nixes came to North America as indentured servants working our way out of debtor's prison, Grandma Bette would make a face and say he couldn't know that. When he said we Nixes had Lakota and Ojibwe blood in our veins, Grandma Bette would say she wasn't prejudiced, but it simply wasn't so: she and Pa and his brothers and sisters were dark because her people were Black Dutch, from a part of Holland where everyone had black hair and black eyes. And then Grandma Bette wouldn't say a word for half an hour or more, a very long time for Grandma Bette to be quiet.\n", "labels": "Whose stories were not always true?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-ab8fb92228b54b6dbc34807bf5341873"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: SEOUL \u2014 The head of the United Nations World Food Program (WFP) on Tuesday said the North Korean leadership is hopeful that following a possible denuclearization deal, the international community will increase humanitarian aid for millions of people in the country who are living in poverty and suffering from malnutrition.\n\"There is a tremendous sense of optimism by the leadership, by the people I met with, in the hopes that they will be turning a new chapter in their history, a new page,\" said David Beasley, the Executive Director of the WFP during a briefing in Seoul.\nThe WFP director visited North Korea for four days last week, spending two days in Pyongyang and two visiting rural areas outside the capital. Beasley said he was given \"remarkable\" access during his visit to the restrictive state where contact with foreigners is tightly controlled. Government minders also accompanied him during his visit.\nBeasley, a former governor of the U.S. state of South Carolina, was nominated to head the WFP last year by U.S. Ambassador to the U.N. Nikki Haley, who is also a former South Carolina governor.\nWith the upcoming summit between U.S. President Donald Trump and North Korean leader Kim Jong Un now scheduled to be held in Singapore on June 12, there are increased expectations that an agreement will be reached to dismantle the North's nuclear, missile and chemical weapons programs that threaten the U.S. and its allies.\nDetails over the scope and timing of the denuclearization process must still be worked out, but the North Korean leader has indicated he wants to resolve the dispute to focus on improving the economic conditions of the country.\nEnding the severe U.S. led sanctions banning 90% of North Korean trade that were imposed for the North's repeated nuclear and missile tests, would open the door to increased economic investment and cooperation.\nHumanitarian assistance has been exempted from the economic sanctions, but Beasely said import restrictions has made it more complicated to bring in aid, and made potential donors reluctant to contribute for fear of inadvertently violating sanctions.\n", "labels": "Who met with North Korea leadership in hopes of turning a new chapter", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-f6221e2d33b044dd98800f34934fd44a"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: \"That'll be $9.87.\"\nRebecca Ranghorn flipped up the top of the box, pulled out a glazed donut, and took bite.\nThe young secretary behind her looked on in disbelief. She was so ready for the weekend. But first she had to get to the office and put in her lousy eight hours. Why couldn't this woman just pay and get out of the way?\nRebecca tossed the box at the clerk. A couple of donuts flew out and fell on the floor behind the counter.\n\"Those are yesterday's donuts. I told you to give me the fresh ones.\"\n\"But, ma'am, these are the fresh--.\" The look in her eyes stopped him cold. He dumped the box in the trash and picked out a fresher dozen.\n\"Now, that'll be $9.87, please.\"\n\"Keep your drawers on, Jack.\" She sampled the new batch. \"That's more like it.\" She threw a ten dollar bill on the counter and walked out with her donuts and large bottle of orange juice.\nHer enormous black 1979 Lincoln Continental Town Car was four feet longer and twice the weight of the young secretary's Toyota Corolla parked next to it. It was costing her a fortune to drive her dad's old car. But it made her feel close to him--even though he had been dead for eleven years. She rarely had an occasion to drive out of town--and it was not a big town. Sherman, Texas has about 36,000 residents.\nShe pulled into the old strip mall parking lot. Most of the stores and other businesses were barely hanging on. The place hadn't seen decent shopping traffic since the 1980s. But it was the perfect location for Rebecca and her partner. They didn't need shoppers. All they needed was cheap office space. Theirs was narrow, but deep, with a reception area, two offices and a bathroom.\n", "labels": "Who tasted the new batch of donuts?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-fa25b84647a345aaaaf7813097a7504e"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I'm going to take something that happened to my daughter for this answer.\nBillie Jo (our daughter) was probably around ten years old when it happened. We had a young Black Labrador dog who had become quite smitten with chewing things up that she wasn't supposed to. The list grew longer as the months passed.\nLooker, our black lab, had chewed up and eaten a $10 bill, my VCR remote control (probably around 1987), and a sticker-filled blackberry vine my wife had planted. How she did that one without serious repercussions is beyond me.\nShe also had a habit of grabbing the mail as it slid through the slot that was in our front door, taking it out back and 'sorting' it for us. So what happened really came as no big surprise.\nMy daughter was a very diligent student, never wanting to let down her teachers by not turning her homework in as soon as she got to school (at least until she hit 14).\nOne morning our daughter was trying to find the math homework that she knew she had completed the night before. My wife assisted in the search and soon found a partially chewed up piece of our daughter's homework page.\nOur daughter was devastated! How could she possibly walk in to school and publicly announce,\n\"My dog ate my homework!\"\nwithout becoming the laughing stock of the school?\nLike this:\nMama Bear (my wife) storms into the classroom and vehemently upholds our daughter's \"dog ate my homework\" bit, showing the teacher the half eaten paper.\nFunny thing was, the teacher would have never doubted our little girl for one minute. Back then, Billie Jo was the sweetest, cutest, most polite and well mannered child a parent could possibly hope for. And her teachers loved her.\nSo, if you have partial proof, it can be a valid excuse.\n", "labels": "Who had completed her homework", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-e3a2740bb2614d65aa99fd2ad3b4a245"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I had something that might have been a little supernatural.\nSo I was trying to sleep one time, and I sleep under the blankets 99% of the time. I sleep downstairs, so hearing noise is pretty normal. Also, my door doesn't lock, or even latch the door handle, so you can just push it open.\nSo I was laying down, maybe at 60% in terms of how close I was to falling asleep, so I just had to lay down for like 5 more minutes.\nBut there are a lot of noises, and they freak me out even though I just sorta pretend that they're definitely a cat or my dog or something.\nSo, I'm already slightly spooked, but I'm ignoring it and going to sleep anyway.\nBut then, I hear my door open. That isn't too weird, I do have cats, so even though by this point my fear is intense, I just sorta blow it off and keep trying to sleep.\nAnd then, something that's never happened in a situation like this, I feel something moving towards me on my bed.\nIt feels like a cats movements, with light feet making slight reverberations on the bed.\nSo my fear goes away entirely, and I'm like \"Oh okay, it's just the cat, that's good.\" And I lift my blankets off my head to let my cat under with me, and because the fear seemed to make the atmosphere under there very hot and tense, and then I look at my bed and there's nothing.\nSo I just pretend nothing happened and go to sleep, but that still sticks with me and even though it's kinda underwhelming I still think it was very strange since I wasn't at the \"edge of consciousness\" stage of going to sleep, so I feel like the chances I imagined it aren't too high.\n", "labels": "Who ignored feeling spooked?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-7bbf081ede5a417a80be5a7694504417"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The southern state of Alabama is the center of the U.S. political universe this week as voters on Tuesday choose a senator to replace Jeff Sessions, who left the Senate to become attorney general. The race pits controversial Republican Roy Moore, who is battling sexual harassment allegations, against Democrat Doug Jones, a former prosecutor. The outcome of the race could have national implications for both political parties and for President Donald Trump.\nMoore has denied several allegations of sexual misconduct when he was in his 30s involving women who were teenagers at the time, including one who was 14.\n\"I do not know them. I had no encounter with them. I never molested anyone,\" Moore said in a televised interview Sunday with the Voice of Alabama Politics.\n\nJones says the accusations make Moore unfit to serve in the Senate.\n\"It is crystal clear that these women are telling the truth and Roy Moore is not!\" Jones said.\nTrump recorded a get-out-the-vote phone message for Moore and spoke on his behalf at a rally in neighboring Florida on Friday.\n\"And we want jobs, jobs, jobs. So get out and vote for Roy Moore. Do it. Do it,\" he said.\nTrump held off on endorsing Moore for several weeks in the wake of the sexual misconduct allegations, but now says electing Moore is a priority for him.\n\"We certainly don't want to have a liberal Democrat who is controlled by Nancy Pelosi and controlled by Chuck Schumer. We don't want to have that for Alabama,\" Trump said.\nIn the final days of the campaign, Moore is highlighting his support for the president's agenda.\n\"We are going to see if the people of Alabama will support the president and support his agenda in Washington by electing somebody that is not part of the establishment there,\" Moore said.\n\nDemocrat Jones told supporters that Moore's character is the issue. \"We know who we are, Alabama, we know who we are. This is an election to tell the world who we are and what we stand for.\"\n", "labels": "Who is the individual being accused of sexual misconduct?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-44d572f1dc9b4285883f3b79eea927aa"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I have never been a stop-and-smell-the-roses type of person. For me, there's always something that has to be done. In fact, the biggest complaint that my husband and two children have about me is that I'm \"always busy.\"\nSeventeen years ago, when my oldest son was about a year old, he woke up in a very fussy mood. Instead of being his usual cheerful and compliant self, he just wanted to be cuddled.\nA mother's dream, right? Well, not for me. There was too much to be done; I didn't have time to hold him. I was well aware that in addition to some projects I was working on, there was laundry to be washed and ironed, breakfast dishes to do, a house that needed cleaning.\nMy usual response would have been to try to coax my son into cheerfulness, or to put him back to bed to sleep it off. But it was clear that he was unwell, so against my usual inclination, I decided that I would just hold him. The chores could wait another day.\nSo I settled into the recliner chair in the lounge room and held my son while he slept. I dozed occasionally too, waking up now and then to enjoy the feeling of snuggling my baby and looking at the world beyond the window. It was a cold day, but clear and sunny. The trees rustled in the gentle breeze, and birds and butterflies flitted about the garden.\nInside, my son and I stayed snuggled together under a blanket for most of the day. He slept while I, for one of the few times in my life, just drank in the beauty of the world and the happiness of sharing this time with my son.\nBetter mothers than I am must have done similar things many, many times with their children. But for me, this very small decision, this day of \u2018laziness', became a treasured memory.\n", "labels": "Who snuggled with with baby?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-d0b8f9ecaa6540f6bc9d0e6e7f4570d5"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The Trump administration's decision to add a question about citizenship to the 2020 census divided Capitol Hill on Tuesday, with Democrats saying the addition could skew the results and alter millions in government funding, while some Republicans praised it as a \"commonsense\" move.\nU.S. Commerce Secretary Wilbur Ross announced late Monday the next effort to count every resident in the country will include a question about citizenship status. The U.S. Census Bureau conducts the survey every 10 years, with the next set for 2020. The deadline for finalizing the questions is Saturday.\nIn a memo late Monday, Ross said he chose to include the query at the urging of the Department of Justice, which said it needed the citizenship data to better enforce a law protecting minority voting rights.\nWhite House press secretary Sarah Huckabee Sanders defended the addition of the question, rejecting the notion that it might result in less federal aid to immigrant communities in the U.S. if immigrants are undercounted.\nRepublicans on Capitol Hill welcomed the decision, which revives a practice that was abandoned in 1950, after being in place for more than 100 years, according to the Commerce Department.\n\"It is imperative that the data gathered in the census is reliable, given the wide-ranging impacts it will have on U.S. policy. A question on citizenship is a reasonable, commonsense addition to the census,\" Senator Ted Cruz said in a statement Tuesday.\nBut Democrats said the question would have the opposite effect \u2014 discouraging undocumented immigrants and citizen family members from responding to the census, undermining the accuracy of the results.\n\"We cannot accept an incomplete or unfair count in 2020 \u2014 too much is at stake,\" Rep. Carolyn Maloney, co-chair of the Congressional Census Caucus, told VOA. \"The census mandated by the [U.S.] Constitution affects the way that Federal and state funds are distributed and how district lines are drawn for both the city, state and Federal level.\"\n", "labels": "Who said the citizenship data was needed to enforce laws?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-072602c7b9c547748b3602a35f4076ff"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Out of boredom, two scientists from the New Contagious Diseases Research Centre devised themselves a new game. One day, as a result of the suspension of a research project dealing with a dynamically mutating vaccine following the pattern of the eyesocket flu bacillus, they had absolutely nothing to do until the end of the day, because the boss didn't order them to wash test-tubes.\nThey decided to play a game of hockey under the microscope. For a puck they used one of the millions of experimental bacillus, and one-arm pincettes, which as it happened also resembled hockey sticks, served as sticks.\nThe bacillus was not happy with it at all. It wanted to rest after an exhausting task involving vaccine discouragement, and these whitecoats here planned to put it to work yet again. And this time the work was much more labor-intensive and even more exhausting than before, but the condition and health of the tired bacillus not as good as in the times of youth, about two hours ago.\nThe scientists got excited. On a microscope slide they etched a hockey rink with laser, agreed on the rules, connected the microscope's camera to the big screen display and played until the morning. They had to change pucks several times, but that was fine, they had millions of them in stock.\nThe next day they didn't have anything to do either and they continued to play. They even invited other colleagues and the popularity of the game was so huge they could afford to play it in a championship system. Soon, the games were joined by the guys from the car-repair garage next door. They were tough opponents and even tougher fans - they took from the lab and carried away with them several flasks and some equipment, as it turned out - to set up their own game station in pit number 5.\n", "labels": "Who played hockey?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-0e6167d55deb4185a567b88321282210"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Oh, yes, I accidentally insulted a bully.\nIt was awesome.\nThis was about a month ago. It was the last day I worked. Memorial Day at the city rec center is SLOW, especially when it's beautiful outside, but for some reason, we had two front desk attendants: me, and \"bully #1\".\nBully #1 clearly had a major distaste for me. She hated my tattoos, the way I would get into a heated debate one day with a police officer patron, then have a fantastic conversation with him days later about legalizing marijuana. She hated that I was liked, but still could give fuck-all about what others thought of me.\nBully #2 was our financial director, who got stuck as the manager on duty that day. I honestly never had a clue she didn't like me. She was intense and sarcastic with everyone. I liked her style.\nOn this day, I really got the feeling they were trash talking me pretty hard, the way they kept disappearing, talking over me, laughing like mean girls. I blew it off, because I was down an internet rabbit hole, trying to wrap my brain around some concepts.\nI was looking at a word, and while I like to think I know exact definitions, sometimes I ask people their take on it. Many psychological terms have some subjective meaning.\nI spun around in my chair, locked eyes with #2, and asked her:\n\"What do you know about Machiavellianism?\"\nI swear to God, all I wanted was her take on it (she's a smart cookie), and all hell broke loose. I now realize that she thought I was passive-aggressively accusing her of said word. They got really nasty (behind my back, of course). They retreated to the back for awhile, and left me by myself. Cue loud, mean girl laughter.\nWhen #1 resumed her post next to me at the front desk, I calmly told her, \"I'm cashing out, and leaving. I'm uncomfortable.\"\nAnd I did.\nIt was noon. We were closing at 1. I figured those bitches could handle it on their own.\n", "labels": "Who was the financial director of the author's company?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-1ac324e6d406466f9235f99bc12ea370"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: My mom has been married three times, (nothing against her) and the first two times ended up a total mess. My dad, the first one, ended up just being a shot gun wedding. He was abusive and too young to be married with a child. They got divorced shortly after. A couple years later she met a man named Rob. He was fun, loving, kind, great with me, everything she had been looking for. They dated for.. a few months I think? Maybe a year. Then they got married and we moved to Texas. They were married for 5 years and she was just as miserable those 5 years. He was mean, he lied about everything, he was addicted to porn and stole from his job. He was controlling and wouldn't let anyone else handle money. It was a rough house to grow up in and hard on my mom as she tried to keep me from the abuse. Eventually he cheated on her with one of her best friends and she kicked him out. I didn't even notice he was gone for a week because he was so absent in my life. He apologized, turned into the man she first met and they tried again. He again cheated on her and she left him again, that time for good. They ended up finalizing the divorce a year later. I remember her telling me that she confronted him about his change of character and he had told her \"Everyone puts on an act at first.\" As if it was a normal thing. He had depression and I believe he wanted everyone to be just as miserable as he was. After they got divorced he had on and off again relationships, got a girl pregnant and got married, then she divorced him. He lived with his cousin for a while. The only stability he ever had was with my mom and I. I think that's why he wanted to leave. Stability meant he had to become an adult and he didn't want to have to take responsibility.\n", "labels": "Who was abusive and too young to be married with a child?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-30e5c4f3d64e43df93728debf8b048d5"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Countess Nicolette de Gobignon pressed a wet cloth tothe King's brow. Though he lay there helpless, still she found him an awesome figure, like a fallen cathedral tower.\nOnly two other men are as tall, she thought. Amalric and Orlando.\nShe felt a pang of guilt. How could she be thinking about the troubadour here where her royal master lay slowly dying?\nShe fixed her eyes on Louis, and on the ivory and wood crucifix that rose and fell on his chest with his labored breathing.\nNicolette felt as if she, too, could hardly breathe. Across the crowded room a fire roared in a huge stone-lined fireplace. The air was stifling. She resented all that made it so, down to the woolen draperies and wall hangings and the thick carpets that sealed in the heat. But she knew that this northern chateau, Pontoise-les-Noyons, a day's ride from Paris, had had to be built to withstand cold, its walls thick and its windows tiny ? so totally unlike the bright, airy Languedoc manor she had grown up in.\nSweat trickled down her brow and stung her eyes. Her breath was coming in little gasps. She felt as if she would faint if she couldn't go outside soon.\nDozens of people, the King's family and courtiers, had packed themselves uselessly into the room, making it even more suffocating. Their whispers, like the buzzing of mosquitoes, irritated Nicolette.\nAlmost all of them, she was sure, worried more about their own welfare than about the King's. And even Louis's wife and mother, though they grieved for him, were too distracted to do much to alleviate his suffering.\nShe saw the King's lips quiver, and quickly she bent close to him. Any last words could be terribly important.\n\"Jerusalem,\" he mumbled. \"Towers - golden. Gates of pearl. Crystal waters.\" Then he panted heavily.\n\"Hush, sire,\" she whispered. \"Rest easy.\"\n", "labels": "Who was as tall as a King?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-c66599312fe44a688a1a5bbf8d131957"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I was a student nurse at the time. I was assisting in the delivery of an infant. My specific task was to work with the rather over-excited father-to-be. He was an absolute delight to work with\u2026very solicitous of his wife all throughout, very cooperative with the staff, and very appreciative of the help we were giving the mother-to-be. The background was that after 7 years of marriage, and 2 tragic miscarriages, THIS pregnancy had come to full term, and the child\u2014deliberately they did NOT want to know the gender\u2014was healthy, and both \"mom\" and \"dad\" were excited about the upcoming birth. The child finally emerged, the MD held up the child, and \"dad\" blurted out \"It's a girl!! You wanted a girl!!! Oh my God, she's beautiful!!\" Then he buried his face on his wife's shoulder and was sobbing for pure joy. The MD quickly put him to work\u2026he was to cut the umbilical cord. \"I'm not going to hurt her, am I??\" MD assured him no, he wouldn't. He made the cut, and came immediately over to the wife\u2026\"Honey\u2026are you all right?? I didn't hurt you??\"\" While the his daughter was being bathed and checked out by the APGAR nurse, he excited called out the various observations\u2014she as healthy..she was pinking up\u2026she was so beautiful \"I can't believe it.\" When the nurse returned the little girl to \"mom\", the three of them cuddled together, tears just pouring from his eyes\u2026and we in the birthing suite were all getting teary-eyed ourselves. That was 30 years ago, and I still get tears just thinking about what I consider the most beautiful moment of my life, one that I was lucky to share with these two wonderful people.\n", "labels": "Who sobbed for pure joy?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-860d094cd37d4070adfcacff9236960d"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: U.S. House Speaker Paul Ryan and Senator Lindsey Graham have joined a growing chorus of Republican leaders to disavow comments by presumptive Republican presidential nominee Donald Trump about the Mexican heritage of a judge in a class-action lawsuit against Trump University.\nQuestioned Tuesday about Trump's comments, Ryan said \"I regret those comments he made. Claiming a person can't do their job because of their race is sort of like the textbook definition of racism.\" But he did not retract his endorsement of Trump, made last week, and he said he does not believe Democratic challenger Hillary Clinton is \"the answer.\"\nRyan made his comments during an appearance at a women's shelter in Washington, D.C.\nIn a New York Times interview, Graham, also a former presidential candidate, said Trump's remarks were \"the most un-American thing from a politician since Joe McCarthy,\" referring to the ultra-conservative senator of the 1950s who fueled fears of widespread communist subversion in the United States.\nGraham also suggested that Republicans who have endorsed Trump reconsider their choice. \"If anybody was looking for an off-ramp, this is probably it,\" he said.\nThe backlash appears to be mounting against the candidate, who has repeatedly said he believes U.S. District Court Judge Gonzalo Curiel, because of his \"Mexican heritage,\" would not rule fairly in the case charging Trump with fraud. Curiel is an American who was born and raised in the Midwestern U.S. state of Indiana.\nU.S. Senator Ben Sasse, a Republican from Nebraska who has criticized Trump on multiple occasions during the campaign, tweeted: \"Saying someone can't do a specific job because of his or her race is the literal definition of 'racism.'''\nSasse was joined Monday by two former rivals for the Republican nomination. Ohio Governor John Kasich tweeted that Trump's offensive \"is flat out wrong.'' Trump, Kasich wrote, should \"apologize to Judge Curiel & try to unite this country.''\n", "labels": "Who said he believes Gonzalo Curiel?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-86fa200f1c954893afa7ff3df6a94db4"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The sweet taste of cold and wood smoke hung in the air. Marlin rode low in the saddle, his shoulders curled against the hungry wind. His hat was pulled down tight and his eyes didn't move as he passed the crude shacks at the edge of town.\nHe tied his horse in front of the saloon, unwinding his long body as if a sudden movement might snap it. He turned down the collar of his greatcoat and checked to make sure his big Army Colt was loose in its holster. The saloon door was a single chunk of white pine, still oozing sap, and he had to put his shoulder to it to force it open.\nThe long room inside was quiet, and not much warmer than the street. Clusters of people sat nursing coffee and drinks, talking quietly if they talked at all. Marlin spotted a few farmers the railroad had brought in from Europe: rounded hats, nervous eyes, skin as red as blood. At the far end of the room a half-dozen cowboys turned over cards with patient boredom.\nMarlin walked up to the bar. \"Whiskey,\" he said, and when the drink came he tossed it straight down and felt it pull his lips into a grimace. He nodded for a refill.\nWhen he turned to face the room they were all watching him. \"I'm looking for a man named Kraamer,\" Marlin said. \"Anybody here know of him?\"\nOne of the cowboys turned casually and rang the spittoon with a stream of tobacco juice. Marlin knew the long, thin face from somewhere, the blond hair that fell limply to his shoulders. He smiled at Marlin and showed his brown-stained teeth.\nMarlin felt the lines in his own face, the gray in his hair, the chill in his bones. He was too old for this. He set a half dollar on the bar and started for the door.\n\"Don't get in a huff,\" the bartender said. Marlin looked back. \"Kraamer lives about a mile west of town. Follow the railroad and take the first trail south.\"\n", "labels": "Who rode low in the saddle?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-6f271475d41e4f0f99e86be77b5cbc61"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: It may seem as though the 2020 U.S. presidential election is a long way off. But good luck telling that to President Donald Trump or a dozen or so Democrats contemplating a White House bid two years from now.\nTrump has already been out on the campaign trail testing themes for his expected re-election bid. \"Our new slogan for 2020. Do you know what it is? Keep America great!\" Trump told cheering supporters at a recent rally in Elkhart, Indiana.\nBut Trump also made it clear he is concerned about this year's congressional midterm elections, in which opposition Democrats are favored to make gains.\n\n\"And all of the great momentum that we are having as a country on jobs, on safety, on security, on our military \u2014 it is all at stake in November,\" Trump warned at the Indiana rally.\n\n2020 is expected to produce a bumper crop of Democratic presidential contenders who will vie for their party's nomination. Those in the group range from the well-known like former Vice President Joe Biden and 2016 contender Senator Bernie Sanders of Vermont to a younger, less recognizable contingent that includes California Senator Kamala Harris and New York Senator Kirsten Gillibrand.\nSeveral potential Democratic presidential contenders spoke about the party's future at a recent conference in Washington hosted by the Center for American Progress, a Democratic-leaning public policy institute in Washington.\nAmong the speakers was Massachusetts Senator Elizabeth Warren, who said Democrats face an uphill battle to win back control of Congress this year because of long-standing Republican advantages in winning a majority in the House of Representatives.\n\"We can't climb that hill by ignoring the millions of Americans who are angry and scared about the damage this president and this Republican Party have done to our democracy,\" Warren told the conference to a round of applause. \"We can't ignore it and we shouldn't want to ignore it.\"\n", "labels": "Who is Warren referring to when she says, \"We can't climb that hill by ignoring the millions of Americans...\"", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-00be4c78222341b18efe821e7425ec5f"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: With almost two years left of my law degree, and with no intention of doing anything so idiotic as actually attending lectures or studying law, I had plenty of time to come up with my next bid for online fame. The Griff Rhys Jones TV project had stalled after a couple of meetings when everyone involved realised that the idea - to pipe broadband comedy programming into the nation's workplaces under the noses of bosses - was a bit of a non-starter. But I had become quite good friends with Rhys Jones's partner in the project, a comedy writer called Charlie Skelton, and he, Clare and I frequently met to brainstorm possible projects we might work on together. It was during one of these meetings that Clare proposed the idea of starting a comedy magazine - something like Private Eye, but for the Internet generation.\nMy days as a school magazine publisher had taught me that printing magazines and distributing them was a royal pain in the arse and, anyway, if it was to be a magazine for the Internet generation then shouldn't it actually be on the Internet? The Zingin.com newsletter had attracted a ton of subscribers and had a distribution cost of basically nothing so why, I suggested, didn't we start a weekly comedy ezine, sent out by email? And, in a nod to Charlie's failed office comedy project, we could target it at bored office workers, sending the email to them on a Friday afternoon to cure the crushing boredom of those final few hours of the working week.\nAnd with that, The Friday Thing was born.\nTo promote our fledgling publication we came up with a brilliant ruse: an online petition to have Friday afternoons declared a national holiday. British people worked harder than any other Europeans (we made up) and so it was only fair that our working week should end at noon on a Friday. We created an official website explaining our demands, registered a web address - letsgetitoff.com (snigger) - and sent a press release to the media. Clearly we had tapped into a seam of strong feeling among the nation's overworked journalists and the campaign was picked up by just about every major newspaper, local radio station and even made it on to the BBC.\n", "labels": "Who would meet with the writer and Charlie Skelton to brainstorm projects?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-3e45a7f1423843e6b7a735bc356f347c"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: But corrected figures, provided by the U.S. military and published Tuesday by SIGAR, suggest that the actual decline was 17,980.\nPentagon officials acknowledged originally providing inaccurate figures to SIGAR because of a failure \"to account for the transfer of most of the Afghan Border Force from the Afghan National Police to the Afghan National Army,\" according to a SIGAR statement.\nAccording to the new figures, there were 313,728 members of the Afghan defense forces as of January 31, 2018. That compares to a total of 296,409, as previously reported.\n\"SIGAR receives all of the (Afghan National Defense and Security Forces) personnel strength numbers published in the quarterly report from USFOR-A and has no means of independently verifying them,\" the statement added.\nThe new figures still amount to a sharp decline.\nAfghan forces suffered unprecedented casualties in 2017, reportedly losing about 10,000 personnel, according to reports. SIGAR has been unable to publicly disclose the exact number of Afghan forces killed, because that information continues to be classified by Washington and Kabul. The violence has led to increased reports of Afghan military desertions, but that information too has been classified.\nSenior U.S. military officials repeatedly have acknowledged the nearly 17-year-old conflict remains a stalemate, even while touting some successes under the new strategy announced by President Donald Trump in August.\nThose success include the increasing capability of the Afghan military, which began conducting airstrikes two years ago. The Afghan air force carries out between four to 12 airstrikes every day, according to the Afghan Ministry of Defense.\nBut the Kabul government controls just over half of the country's districts, SIGAR says.\nTrump's strategy appeared to commit the U.S. to Afghanistan indefinitely. It involves pressuring Pakistan to end its support for Afghan militants, supporting Kabul's effort to engage the Taliban in peace talks, and dropping more bombs on the country.\nThe U.S.-led coalition in Afghanistan dropped more bombs during the first quarter of 2018 than it has in the same period in any of the last 15 years, according to a VOA analysis of monthly data released by the Pentagon.\n", "labels": "Who is supporting the militants responsible for the unprecedented casualties in 2017", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-67811e2d4fc34e4e9cb624e02d0bd31c"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: April 1, 2006 Walter died today. Found out this morning over breakfast. Suicide. Walter. I'm still trying to wrap my mind around it. Suicide. Walter wasn't suicidal. I know that, know it for a fact. But he is dead. Why? I am not foolish enough to suspect \"foul play\" as they say in the mystery stories. No one cares enough about a community college art teacher to murder him. But suicide? Something is wrong here. Very wrong. April 2, 2006 I didn't realize until this morning that yesterday was April Fools day. Some kind of sick joke? But that's not like Walter either. He was a little crazy, but not that kind of crazy. Still I keep half expecting to pick up my voice and hear his voice yell, \"Gotcha!\" But it is no joke. I know he is dead. (Later) Got a package today. From Walter. Scary considering what I wrote about expecting him to call. I can't express the chill I got when I saw his name on the label. A message from the dead. Surely it's not a good Omen. It's a painting. Or at least I think it is. The package is the right shape, and knowing Walter it seems likely, but...I haven't yet worked up the courage to open it yet. I'm afraid of what I might find. April 3, 2006 Went to the funeral today. Walter's wife, Martha, was in hysterics. Can't say I blame her. It was awkward being there seeing someone in the most vulnerable possible condition. I didn't know her that well. Walter and I rarely interacted outside of work, so I have very little knowledge of his personal life. Sylvia went up to her and hugged her even though she'd never met her before in her life. It must be something with women to be able to make that kind of spontaneous connection. I just shook her hand, and told her I was sorry. I don't make a habit of crying in public, but seeing her so shaken up brought tears to the edges of my eyes, and I did nothing to wipe them away. After five years of friendship it's the least Walter deserves of me. One other thing. The package. It's still sitting there in my study. Mocking me. That's how it feels anyway. Should I open it?\n", "labels": "Who did the author describe as \"a little crazy?\":", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-0f819c6467b141f69d49c75c1f824d1b"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: \"Maybe we're being too harsh with the letter,\" said Janine.\n\"Hon, as his parents we have a responsibility to his well being,\" said Bob.\n\"I know but I just think he doesn't need this added pressure.\"\n\"Jan, I'll be damned if I'm gonna support and house a drug addict.\"\n\"I just think maybe he's going through tough times or something. He told me the other day he wanted to see a therapist.\"\n\"Hmm.\"\n\"Maybe there's something going on we don't understand. I mean didn't he seem a little paranoid to you today at lunch?\"\n\"Paranoia is a side-effect of the marijuana.\"\n\"Well I still think we are being a little harsh, I mean, we can't just throw our son out on the street.\"\n\"Babe, its our job to be harsh when it comes to this kind of stuff. It's for his own good. Either he chooses to keep living rent free in the condo without the pot or he chooses to ruin his life.\"\n\"I know but don't you think we should let this little phase run its course? I mean, we're not entirely innocent ourselves. Eventually he's gonna want to stop smoking pot,\"\n\"I don't know if he is, Jan. He's expressed to me several times that he has no interest in quitting.\"\n\"He's said that to me too.\"\n\"Well I think that's a pretty big red flag, don't you?\"\n\"Yes.\"\n\"He needs to get his priorities in order and realize that drugs aren't gonna do him any good. If we have to force him to do that then that's what has to be done. I mean, tell me you haven't had any difficulty falling asleep at night with the notion that our sons are drug addicts.\"\n\"Well at least Ben has a job and is paying his own rent.\"\n\"I know but those people he hangs out with, Mack and Allison, those dopers that spend their time smoking weed, they...they're our age, and did you see their house, the stacks of books and newspapers and the marijuana pipes laying on the coffee table? It sickens me that there are people out there like that.\"\n", "labels": "Who thinks the letter is too harsh?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-d367c4c7b4a94b0db254b6caa5de8641"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The young man (boy, really) played with his fingers in the garish light cast from the lone bulb in the concrete bunker. He scratched at an imaginary itch on his right hand (just below his thumb) to take his mind off the man in the lab coat who sat across from him at the beaten, scarred, wood table. It didn't work. And whoever this man in the lab coat was, he was insistent about paperwork. He had three inches clipped onto a weathered clipboard which he flipped through with precision.\n\"Can I offer you a glass of water?\" asked the boy's captor in a calm, sensitive tenor.\nThe boy, Kurt, continued to scratch the imaginary itch, which had leapt magically from his right hand to the left. Eventually the falseness of the itch would be deduced, and the lab coated man would disappear out of the cell and return with... God knows what. He had seen torture hundreds-if not thousands-of times on TV, and he was glumly certain that there would be no commercial breaks for him.\n\"Can I offer you a glass of water?\" The question was repeated without urgency, like a forgetful waiter. The itch now leaped with the dexterity of a trained flea onto the boy's leg, and the dutiful fingers followed.\nHe watched as the man in the lab coat, without name tag or company insignia, studied his stack of papers attached to the clipboard. Several yellow forms near the top half inch were labeled 27B. The man frowned and wrote a note on the top page. \"Note: Find out who isn't duplicating 27B in Pink.\"\n\"I'm sorry,\" he said, \"I wasn't listening. Was that a yes or no to the water?\"\nKurt remained in his chair, almost motionless, except for the itching-and-scratching routine. It had leapt again, this time onto his scalp, and the twitching fingers followed. He wondered how long he could keep this up without drawing blood.\n", "labels": "Who is detained in thr bunker?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-8b768ab1743d431e82731b58f1623457"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Following up from my recent blog post explaining why dietary supplements offer few benefits for most people, new research has found that people who take a mineral supplement actually consume more minerals from their normal diet than non-supplement users. The notion of the \u2018worried well' is certainly alive and kicking.\nVitamin and mineral supplements are big business. Reported figures in Australia suggest that 27% of women and 15% of men take some form of supplement with vitamin C, B complex, multivitamins, vitamin E and calcium all being popular choices.\nContrary to the rationale for needing supplements in the first place, people who take supplements are more likely to be healthier than people who don't take supplements. Supplement users also tend to be leaner, smoke less, exercise more, and eat more fruit and vegetables.\nWhile it may seem obvious that people who take supplements likely consume more nutrients from their regular diet to start with, this hasn't been well studied in large population groups.\nUsing data from a nationally representative government health survey, researchers from the United States looked at the mineral intake from food and supplements of over 8000 men and women between 2003 and 2006. The results were clear cut: people taking mineral supplements were consuming more minerals from their normal diet than those who didn't take supplements. The observation was even stronger in women than in men.\nThe eight most popular mineral supplements taken were calcium, iron, magnesium, zinc, phosphorus, copper, potassium and selenium.\nProving that it is possible to have too much of a good thing, supplement users were more likely to be exceeding the recommended upper level of intake for magnesium, zinc, iron and calcium.\nFor someone who believes that they are reasonably healthy and are conscious of what they eat most of the time, taking a mineral supplement \u2018just in case' offers little to no benefit.\n", "labels": "Who reportedly takes some form of supplement in Australia?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-fb853a71ac5f4e4da8da3647dc95a635"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Thank you for the A2A \u2026..\nWhat has been your biggest heartbreak during your adult years?\nHad I answered this question 20 years ago, it would have been the death of my Daddy \u2026 Had it been 12 years ago, it would have been the death of my Mother \u2026 Had it been 10 years ago, it would have been when my son turned his back on God so far that he went into satanism \u2026 As it is now ~ I would have to say that the biggest heartbreak in my life was 3 years ago when I discovered (online) that my beautiful daughter had begun taking Testosterone injections.\nBelieve me ~ I've been told time after time that her decision to do so is her own \u2026 to that fact I will agree. What I cannot agree with though, is that I have no right to feel hurt, upset, or any of the other assorted emotions that come with having a transgender child!! It's not okay to be devastated by the choices my little girl makes \u2026 Its not okay to not agree with what she's doing to herself \u2026 It's not gonna have an impact on her family \u2026 It's not something that is allowed to affect our relationship \u2026\nThe ONLY thing that matters ~ is the transgender person and how they feel!!!!\nOne of the biggest things that bothers me is when I'm told that I can't love my child ~ unless I accept that she wants to be a male and give her support with that decision. I can say that I do love my daughter ~ I always have ~ and I always will. A mother's love doesn't go away.\n***To those who wish to attack me for what I have to say on the topic of transgenderism ~ I respect your right to tell me your opinion and why you think I'm wrong \u2026 but my feelings matter, too, and deserve that same respect from you.***\nWishing you the best!!\n", "labels": "Who has died?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-6f335ce9989e4400b7b0454f652d8035"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: My fraternal twins were born 2 months early. The staff had already stopped premature labor at six months gestation but it proceeded too quickly this time. Total labor 2.5 hours. Needless to say, they were tiny - female 2 lbs. 3 oz, male 3 lbs. 10 oz. Female was born dark blue - luckily, I was at the finest maternity hospital in this half of the State (McGee Women's). They brought the female around to breathing, while I cried, thinking that she was dead. The twins were rushed to the NICU, too tiny to breast feed except with pumped milk through a feeding tube. Both were watched closely by doctors and nurses as they were not passing waste properly. The day it was decided that the male needed surgery, the female was discharged to home. The male was transferred to another very good hospital for surgery for a temporary colostomy. He was discharged to home after a week. What broke my heart was that I was allowed to visit him in the hospital but his older brother and twin sister were not allowed. Prior to his discharge, the staff instructed me in changing and maintaining his colostomy bag on a daily basis. He kept the colostomy bag until he was about 5 months old; back into the hospital for the colostomy reversal. The sign that I hung above their shared playpen said \"Whatever doesn't kill me, makes me stronger\".\nHow did I cope with it? Mostly alone. The hospital offered group sessions for parents of severely premature infants. During the very first session, I had a zen realization that, once I realized that the circumstances were out of my control, I GAINED control of myself and my life. A bit like the Serenity Prayer. I shared that epiphany with the group and they looked at me like I had two heads. I had never heard of the Serenity Prayer and I'd been an atheist since age 13, so religion was not my go-to then, nor is it now. That realization helped. The twins are 37 now.\n", "labels": "Who was rushed to the NICU", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-b919ab33d40b4423a9e4e111c9abb9e6"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: For a month, anything I consumed would result in me rushing to the wash room and throwing up. When this started, I thought it's something to do with what I had previously eaten which was stale and was having a reaction to bad food. When the problem persisted for a week where I was barely able to keep my food from coming out, I went to visit my doctor. He asked me questions and gave me some vitamins and pills before and after food to stop the vomiting. They didn't work. Even though I was not sexually active, I got my self a pregnancy test which showed negitive.\nI tried to eat healthy, but to no avail. 15 mins was the max my food was inside my stomach. I was becoming weak from all the throwing up and rapidly loosing weight. I went to my doctor again and he said I was stressed. Wrote me some more pills. Nothing worked. My Mom got paranoid and took me to another doctor for a second opinion. The doctor asked me to write down everything I ate with the number of times I threw up for the next 2 days and return to his clinic.\nOnly then, were they able to diagnose that I was lactose intolerant!! Milk, milk products, cheese, butter, cream, nothing seems to agree with my stomach anymore. Surprisingly this is what I used to eat - cereals with milk, eggs with butter, pizza, pasta, lasagne, cheese with bread, tall long glasses of iced coffee, frappes and bam, my body would reject them within 15 minutes. It was terrible switching from coffee with milk to black coffee, until I started developing a taste for it. Pizza's are something I still can't eat. I need to remove the cheese from the slice and unfortunately my body is able to only take one slice of Pizza. Pasta, white sauce is a strict no no unless I want to feel bloated and throw up. So yep. My doctor was unable to diagnose me. Thankfully I did take a second opinion.\n", "labels": "Who gave the narrator vitamins?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-9b22484189214feda40fc725395c8227"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: There is no hiding from the impact agenda. The impact weighting of the Research Excellence Framework has been increased for 2021, and more recently the UK Government announced a new funding stream for knowledge exchange. But achieving impact isn't easy, especially for researchers early in their careers.\nIf you ever have a spare week, or ten, it's worth reading through some of the 6,637 REF impact case studies on the HEFCE website. There are some brilliant and fascinating examples of how researchers have achieved impact, but what strikes me most is how different impact looks across different subjects. At the risk of being flippant, among many of the medical or technological examples there is a familiar pattern and a clear route to impact: make breakthrough; license drug/technology; save lives/\u00a3millions.\nFor social and political science (not to mention economics, languages, education, philosophy, etc.) the route to impact is much more fragmented. Among the 97 sociology case studies, for example, impact comes from numerous briefings of government officials and parliamentarians, before the academics join \"networks\" and \"committees\" discussing their research and wider issues. Their research is covered by national media, they meet even more people \u2013 practitioners or third sector campaigning organisations to pass on their knowledge. And, after all that, and often a good deal more, sometimes there is a policy or practice change that can be pointed to as a direct impact, sometimes not.\nCentral to much of the impact is \"access\". Prominent and experienced academics are more likely to get on the committees, know the right journalists and government officials, and have links into third sector organisations, etc. I worked with Professor Sir John Curtice, of election night fame, for a number of years. He didn't need much support. I advised and facilitated, but after 30 years in the game he knew Whitehall (and Holyrood) inside and out \u2013 and they knew him. But many researchers, especially at the start of their careers, don't have these networks, so how can they develop them? One way is through the media.\n", "labels": "Who did the author work with of election night fame?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-303746c878c342f2a744734d55d7e6fc"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Yes I definitely have. It was over ten years ago now\u2026 I was diagnosed as Borderline Personality Disorder but presenting with symptoms of Bi Polar Mania. I was in hospital for treatment and of course the psychiatrist wanted to medicate me until the manic phase subsided so as to better stabilize me and get the right diagnosis, etc. It is an art, Psychiatry, as far as I'm concerned. I do not have the education to elaborate on say, Pharmaceuticals or Cognitive Science (other than a few college courses on Behavioral Psychology) nor can I comprehend these fields of reference as clearly as I'd like to, but what I experienced was\u2026 GETTING THE WRONG MEDICATION!! for my presenting psychological manifestations.\nI was put on Seroquil; too sedating even in minute doses. Prozac. Sent me over the edge, and a complete 180 to the point where I was extremely delusional and dangerously suicidal. These mind-altering medications can be fatal. It was scary and literally ruined my life for a time\u2026\nI was worse than minorly-depressed or hypo-manic (conditions much more manageable than what I previously described) for a long time when I first started a regime with Zoloft, but it did wind up being the best drug to manage my depressive state and enable me to function in a more socially adaptive manner. Then they added Lamictal, which has truly kept me stable ever since.\nBut yes, it is a trial and error method as far as I can tell... My Mother never wanted me to try any medication because she said \"They\" were using me like a guinea pig, but when the benefit outweighs the risk, they take the risk. You can't always trust medicine but if you have an experienced doctor you should trust them especially if you want to get better, whatever your ailment may be.\nI have osteoarthritis, DSP, and Sciatica also, so am familiar with drugs used to treat physical health issues too but no huge issues with these medications, not like psychiatric drugs that's for sure.\n", "labels": "Who added Lamictal for the patient?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-3e73e5b998804747ab3e40ff50baf700"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The city was gray but the buildings contrasted with dirt red. The morning settled my nerves a bit more and before long the train pulled into the station. Boston had a slower feel, much slower than New York. The air was cool and peppered with moisture. I knew I was close to the ocean. Vision blurry, I wobbled out of the train depot and thought about the fact that I had never really done anything crazy in my life.\nThe colors meant something here. Green was the color of plants but it was also the color of money. Plants were good but money was bad. I didn't know what green meant. Blue and red were clear though. Blue was the color of ocean and sky, both good things. Red was the color of Mars and it was manly but mars meant aliens and aliens were bad so red was bad. This is how I navigated. I followed the colors.\nI was lost in a daze of exhaustion and moved my feet slowly. They were dead and raw with pain and blisters, and I shuffled out into the city.\nMy eyes darted from color to color, sign to sign, connection to connection. I floated like a ghost and thought about crying. There were few people out so I found a relative ease in that but my mind still jumped around reckless. I needed to find Kim.\nI saw a silent pay phone with a dangling phonebook and headed towards it until I remembered that phone books don't normally list cell phones. Kim wasn't the type of girl to list herself in the phonebook either. I had no leads but I knew I could go to a library and maybe find out her number if she had listed it on Facebook, so I kept walking. Stopping at benches, I would rest until I could muster more energy.\n", "labels": "Who is the author looking for?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-131190d65d2f47a88af22b000c46b91f"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I still remember that day when my mother realized that finally I had matured and was no longer a child.\nIt was the month of December and my parents were not at home. It was very cold and I was thinking of doing something that can raise my body temperature . Well, now I think I should have chosen doing exercise over porn .\nThe mood was set, wi-fi speed was good and Google search was working. It took me half an hour to select a porn video. After selecting the video I downloaded it .\nWTF where are my earphones. Took 15 minutes to locate my earphones. The movie began and just after 5 seconds the door bell rang and this was where I got screwed when I forgot to minimize the movie.\nMy parents were back home and I was back to my studies and just forgot about the movie.\nNow I have a habit that while I am studying I keep the phone in the next room.\nMy mother was in the same room where the phone was. Now comes the worst part when my phone received a whatsapp message and my mother saw that message was dropped. Without giving any damm to my privacy she opened the phone and it was my bad luck that there was no screen lock.\nThe movie automatically started and after 5 seconds she took the phone to my dad she said \"This is what he is doing when he's alone\"\nMy parents called me what is this ??\nI said it's a video message from the company and it starts automatically. I have nothing to do with that stuff and suddenly my dad said yes he is right, it's a video from the company and asked me to delete the video.\nMy dad saved me because he already knew that I watched that kind of stuff.\nFrom that day on, I never download the movies but I watch them online, I just hate the buffering part .\n", "labels": "Who had matured?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-4ff4e83878364c8daae9dd7cf5677bb0"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: In spite of the fact that people brag about being able to multi-task, the reality is that the human mind can only focus on one thing at a time. When you pay attention to one thing the mind automatically blocks out all other stimuli. Multi-tasking is simply jumping from focal point to focal point; but, you are still only focusing on one thing at a time.\nThe payoff from trying to multi-task is not worth the toll it takes on the individual making the effort.\nDavid Meyer, PhD, a professor of psychology at the University of Michigan states the following:\nDoing several tasks simultaneously may seem like the height of efficiency \u2013 and it would be, if a person had more than one brain. In the real world, multitasking actually wastes time and reduces work quality.\nMany studies have shown that multitasking slows down the mind and makes it less effective. Dividing and distracting the mind causes rapid mental course changes, the inability to effectively focus, and creates stress \u2013 which increases with every additional task that is added to the mix.\nImagine a dog who is trying to chase three different balls thrown in different directions. He runs two steps in one direction, three steps in another, and one step in the third. He ends up running in circles.\nThe mind is the same.\nThe more time you spend changing mental direction the less time you have to actually focus on a single task.\nThe more directions or mental tasks you add, the less effective you become.\nBut . . .  that is not the whole story. Another facet of multi-tasking is worrying about events, projects, or situations that have nothing to do with where your focus should be at the moment. Worrying about what has happened, or may happen changes nothing. All it does is drain your mental and emotional resources, making you less effective at the task at hand.\nLet your subconscious handle it. The subconscious mind is one of the most powerful tools that we possess. It is unnecessary to make an effort to keep everything at the \"top-of-mind\" because everything that happens is stored in your sub-conscious.\n", "labels": "Who runs two steps in one direction, three steps in another, and one step in the third", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-4091a2d4a81a4fa7ad06c0d5a01429fb"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: This week I shot my Interview with Claire Bridge. Myself and Riah travelled, I would say all the way out too Wheelers Hill, but it's really not that far away, unless you live on the North side, which we both do. Riah and I carried our gear on two trains and 1 bus to get to Claire's studio out in Wheelers Hill. I can see why Claire lives here as it's a pretty beautiful place, it's still suburban but there are trills, hills and birds everywhere, and for someone that's passionate about the environment I can see why she lives here. Meeting Claire was awesome, after having spoken via phone or email for so long, it was nice to speak to her in person. The filming of the interview went extremely smoothly, I'd put this down to having planned out everything, such as all the questions I was going to ask prior to the interview. By this stage I had helped Riah film as well as Elise and it was noticeable how much smoother Riah's interview went because she had pre-planned her questions. Rather than spending an hour asking various questions that you might not use anyway, it's much more efficient to spend 20 minutes covering exactly what you want to cover. By this stage I'd also had practise setting up lights, doing sound and getting camera shots for people's portraits so I already knew everything I wanted to shoot.\nOur setup was pretty simple, two large lights, one on Claire's front right and one on Claire's front left, two Canon EOS 60D DSLR's at different positions (one straight on, one to the side), a Sony H2N handy recorder and a lapel mic. Everything ran super smoothly, we did the interview first then myself and Riah shot various things in Claire's studio. Whilst shooting various things in Claire's studio we also got a chance to both speak to her which was nice, discussing what it is like to be a woman in Melbourne's art scene and finding out who some of her favourite artists were. Overall the experience was also, I have a lot of friends who are artists so I hope to do more artist portraits in the future.\n", "labels": "Who lives in a studio", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-be2a8157d1de4fe8a489202a992b4db5"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The doctors told me I would be placed on a seventy-two hour hold for observation. Knowing this was the only way out, I obeyed and diligently signed all the papers. I hated my parents but still felt the inescapable drive to prove to them that I was worth something. I had to show them I wasn't crazy. As the hours passed, I was shown to a blank room with plastic sheets and plastic pillows, which caused me to wonder what kind of distant confused souls had been imprisoned in this sterile place. There were bars on the windows and the only door out of the unit was locked 24/7. I knew my only refuge for the time being would be through the hour a day art therapy class and the smoke breaks I could take at will. They had given me a legal pad after my parents had told them of my affinity for writing. With it I set to work on the flow of words and the river of thoughts, both dark and hopeful that careened through my tired mind. Instead of sleep, I would write. I expressed my vicious frustration for the place and thought constantly of the passing hours, counting them down as they went. Because of this I was thankful for the eight to ten I would use up easily in my escapes to the world behind my eyelids. There I was free and could experience a life unhindered by limitations of ethics or gravity. When I'd awake I'd write what I could remember of my escapes on the obtrusive legal pad. I had the suspicion that the attendants would come in and read my thoughts as I was eating meals or watching TV and I wondered if this was hindering my ability to get out. I wondered what kind of opinions and judgments they were forming about me. I had bared my soul on those pages explaining desperately how the thoughts would not leave even in this place, where it mattered most that they were gone. The fuckers would never leave. Maybe I was crazy.\n", "labels": "Who might have been forming judgments about the speaker?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-945f23c6081543b0a88d9442ae84be89"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: His eyes were open and his head bobbed around at an impossible angle. He was sitting in about forty feet of water, stone dead, one arm pinned between the rocks. As best I could tell, he had been dead when he landed there. The mud and ooze around him were as serene and smooth as he was. The cop who was assisting me swam over and made a palms up gesture. I shrugged back at him and began to work the body loose. The corpse had only one leg, and as I worked I wondered what he had been doing in the lake. I got the arm free and kicked toward the quicksilver surface above me. The body turned bloated and heavy when I broke water with it, and it took three of us to load it into the police launch. I dried off and got a coke out of the cooler. It was getting to be another Texas scorcher, and the sunlight bouncing off the surface of the lake felt like it had needles in it. My mouth was dry from breathing canned air and the carbonation burned like fire. Winslow, from the sheriff's office, sat down next to me. 'I appreciate this, Dan,' he said. 'No problem.' Sam Winslow and I had grown up together about twenty miles outside Austin in a little town called Coupland. We'd fought a lot as kids, and there were still plenty of differences in our politics and educations. But being on the police and fire rescue squad had brought me closer to him again, and I was glad of it. A private detective needs all the friends he can get. 'What do you make of it?' I asked him. 'Accidental drowning, looks like.' I raised an eyebrow but didn't say anything. 'He's got a bump on the head that could have come off a rock. We'll see what the coroner says.' 'Any idea who he is?' Winslow shook his head. He'd gained weight in his face recently and his jowls vibrated with the gesture.\n", "labels": "Who got coke out of the cooler?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-240d7a0d0dc445ed9481c29dc1457fa1"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: What was the reason behind you becoming a Wiccan?\nI had very bad experiences with the old angry bearded GOD in the Christian religion. He had turned his back on me. He had betrayed me time and time again. So, I left. Still wanting connection with a higher power, I hungered for connection.\nI liked communing with the Wiccan Gods. I also liked how They made me feel, at peace, and I felt I had the strength to change my own life for the better.\nThey are always there for me.\nHow did you find it?\nWhen I was a teen I heard the word Wicca. I didn't know what that was. I was curious and decided to investigate it.\nSo, the next day I went to a book store. I asked the lady behind the counter if they had any books on \"Wicca.\"\nShe got excited and whisked me off to the metaphysical section of the store. She told me she was pagan and started handing me book after book into my arms. Soon I could barely see over the books in my arms.\nI mumbled behind the books, \"Which ONE book would you recommend.\"\nShe then handed me Scott Cunningham's book Wicca, A Guide for the Solitary Practitioner.\nI purchased the book and took it home.\nWith my dyslexia it was not easy for me to read. But I started reading and plowed through the book.\nI found many things I was already doing. He talked about things I already understood to be true.\nThe book rang true for me. I dedicated myself to the God and Goddess when I finished the book.\nHave you ever had any bad experiences after completing a spell?\nI did a prosperity spell once and got the opposite reaction I was hoping for. I lost all my income! I realized later my mistakes and redid the spell correctly and then got the results I truly wanted.\n", "labels": "Who wrote the book, A Guide for the Solitary Practitioner?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-ead0c72f5b7b47328fd191326ffddc7d"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Michael Cohen, President Donald Trump's longtime personal lawyer who is under investigation for his business dealings, has provided legal advice to Fox News host Sean Hannity, one of Trump's most prominent media supporters.\nThe dramatic revelation came Monday during a court hearing in New York where lawyers for Cohen and Trump argued for permission to determine whether thousands of pages of documents FBI agents seized from Cohen last week should be subject to attorney-client privilege.\nU.S. District Court Judge Kimba Wood appeared to reject the idea, saying that a \"taint team\" created by prosecutors to set aside privileged documents is a \"viable option,\" while a court-appointed outside lawyer known as a \"special master\" may also play a role in determining which records can and cannot be viewed by prosecutors.\nThe disclosure about Hannity, who also hosts a nationally syndicated talk radio show, came after prosecutors indicated that Cohen performed \"little to no legal work\" and had just one client: Trump.\nIn response, Cohen's lawyers said that Cohen has represented three clients in the past year \u2014 Trump, GOP fundraiser Elliott Broidy and a third \"publicly prominent individual\" who wished to remain anonymous. Cohen's lawyers identified Hannity as the third unnamed client only after Judge Wood ruled that it must be made public.\nIn a statement, Hannity sought to minimize his relationship with Cohen, saying he had never retained him as a lawyer.\n\"Michael Cohen has never represented me in any matter,\" Hannity said. \"I never retained him, received an invoice, or paid legal fees. I have occasionally had brief discussions with him about legal questions about which I wanted his input and perspective.\"\n\"I assumed those conversations were confidential, but to be absolutely clear they never involved any matter between me and a third-party,\" Hannity said.\nFox News also responded to the revelation. \"While Fox News was unaware of Sean Hannity's informal relationship with Michael Cohen and was surprised by the announcement in court yesterday (Monday), we have reviewed the matter and spoken to Sean and he continues to have our full support,\" the network said.\n", "labels": "Who is President Trump's longtime lawyer?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-f0e97dd5fa8b49d6a3b6092d0de7a831"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Randy Poskin, a soybean farmer in rural Illinois, voted for Donald Trump in the 2016 presidential election. But ask him now he feels about that decision, and you get a tepid response.\n\"I'm not sure,\" Poskin said.\nLike many farmers in the Midwest, Poskin is concerned about getting caught in the middle of a trade war, as Trump ramps up economic pressure on China.\nThose fears were heightened after Trump announced plans Thursday to impose tariffs on as much as $60 billion worth of Chinese imports.\n\"I'm fearful they will retaliate on those tariffs,\" Poskin said. \"Soybean exports, wheat, poultry, chicken, beef \u2014 [there are] any number of products that we export to their country that they could retaliate with.\"\nThe announcement has unnerved many in Trump's base of supporters in U.S. agriculture. The trade tensions have also rattled global markets, which until recently had performed strongly.\nTrump's tariff decision was meant to punish Chinese companies that benefit from unfair access to U.S. technology.\nU.S. businesses have long bristled at Beijing's requirement that they transfer technology to Chinese companies as a condition of entering the Chinese market. U.S. businesses have also had their technology stolen through cyberattacks.\n\"We have a tremendous intellectual property theft situation going on,\" Trump said during the signing ceremony Thursday.\nSome U.S. companies in China cheered the move and suggested that concerns about a trade war were overblown.\nWilliam Zarit, chairman of the American Chamber of Commerce in China, dismissed the \"hair on fire\" concern that Trump's proposed moves would hurt the global economy.\n\"That the U.S. is willing to risk these disruptions indicates how serious the U.S. administration finds China's forced technology transfer, cybertheft and discriminatory industrial policies,\" he said in a statement to VOA.\nZarit pointed to a recent survey suggesting members of his organization wanted the White House to \"advocate more strongly for a level playing field and for reciprocal treatment to improve market access\" in China.\n", "labels": "Who made a statement to the VOA?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-5257e8f326da4a4e8cab6be2b62c1afb"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: President Donald Trump is shifting his focus back to domestic issues after returning late Tuesday from a 12-day trip to Asia.\nThis week, Trump will resume pressing congressional Republicans to pass a tax reform measure to follow through on one of his key campaign promises.\nTrump appears to be working closely with Republican congressional leaders, including House Speaker Paul Ryan. \"We ran in 2016 on doing this tax reform,\" Ryan told reporters at the Capitol. \"The president ran on doing this tax cut and tax reform. So this is about fulfilling our promises to the American people.\"\n\nHowever, since the president was last in the country, he and his Republican allies in Congress face a new political landscape in the wake of last week's gubernatorial election victories by Democrats in Virginia and New Jersey.\nIn Virginia, exit polls showed that many voters were motivated primarily by their opposition to the president.\n\"The fact that the president is so polarizing and so unpopular with approval ratings generally under about 40 percent, and Democrats are going to be extra-motivated to come out,\" said University of Virginia political analyst Kyle Kondik.\nKondik said the strong Democratic showing in statewide races in Virginia last week was the best non-presidential election showing for the party since 2006, the last time Democrats nationally won control of the House of Representatives. Many Democrats believe a focus on Trump could help them retake control of the House next year.\n\"You can sort of smell when a wave is beginning, no guarantee it continues, but it is likely to,\" said Senate Democratic leader Chuck Schumer. \"And that smell that was in the air in 2005 is in the air now.\"\nTrump's approval ratings remain historically low for a first-year president \u2014 with several recent polls showing him below 40 percent \u2014 which could be a warning sign for Republicans ahead of next year's elections.\n\n\"If the president is where he is today, I think that is going to be very difficult for the party to even hold the House of Representatives in the next election,\" said John Fortier of the Bipartisan Policy Center in Washington.\n", "labels": "Who ran their 2016 campaigns based on tax reform?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-a18928b2a9fd411d91c934c967bb0ef7"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: In my early 20s, I was a one-on-one aide for a couple of teenagers with cerebral palsy. With the first one, I was hired by and worked for the family. I picked the teen up from school every day and took care of him until he was in bed for the night. When he passed away, I took a job with the local school district.\nMy client at the school had spastic quadriplegia. He could talk and was actually very smart, but he had no control over his arms or legs. He couldn't walk. He was never going to walk.\nThe law requires that special education students be put in the least restrictive classroom environment possible. Since this kid was smart and could communicate well, and wasn't a discipline problem, he had all regular classes. His only accommodation was a one-on-one aide (me), and he was allowed to be late to classes without consequence because we sometimes had to stop in a special room, get him out of his chair, and stretch his legs a little. Basically ten minutes of physical therapy, two or three times per day.\nAnyway, since this kid was legally required to take all the classes a normal student his age would take, he had to take Physical Education (gym). And, legally, his aide (me) had to accommodate his participation in every class as much as possible, including gym.\nMost gym classes began with the students doing laps around the track, then participating in a team sport. He couldn't do the team sport, but, according to the lawyers involved, he should participate in the \"laps around the track\" part of gym.\nSo I had to push this kid in a wheelchair around the track for about 15 minutes each day, until the other kids were all done and off doing the next activity. Then he and I were able to leave gym class and go do some physical therapy in his own little room just for that.\nBecause, you know\u2026 lawyers and rules.\n", "labels": "Who rides around in a wheelchair in the story?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-4ae16253c1c448708c62789dc1ee2c88"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Yes, absolutely. And if you are experiencing that right now, I'm so sorry for you, but it gets better. Hear me out.\nI was once dating this girl from college who showed genuine interest in me and for that and many other reasons, I really liked her. Well, you could say I loved her. We had been together for a week.\nOne day, we went on a trip. It was all fun and games and laughing. I had the best time of my life. We were walking on the beach of a lake during sunset. We were talking and suddenly, I felt her tone getting more and more depressed. At some point, she concluded that \"we need to take a break.\" Trying to understand her arguments for that, the break turned into a breakup.\nNow, one-week-into-a-relationship-with-awesome-girl me couldn't handle this sudden change of affairs. I spent weeks reliving this day, especially the conversation on the beach, and trying to figure out where it went wrong. I even got into an episode of mania. Having to see her every day in college was torture. It was probably the worst breakup in my life. I seriously considered transferring to another university.\nSeveral weeks into the breakup, I decided, with the aid of my friends, that I have to move on. To be honest, I relapsed a lot. One time, I actually sat down with her and said I still have feelings for her.\nWhat really helped me to get out of this was the thing I hated the most at that time: taking a break. I avoided her, in real life and on social media, and eventually, I forgot that she even existed. I developed new hobbies and made new friends.\nNow, I healed properly and we're back to being friends (Yes, it's possible to stay friends with your ex). It was a bad experience to live through indeed, but it really changed me into a more stable, more productive person. In a way, I'm thankful to this girl for who I am today.\nStay strong!\n", "labels": "Who went on a trip.", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-ce34d550b45e46f09fb00a86c9fee673"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: And once again, high blood pressure is making headlines in the news: the American Heart Association and the American College of Cardiology (AHA/ACC) have just released new guidelines about hypertension.\nSince this development is likely to cause confusion and concern for many, I'm writing this post to help you understand the debate and what this might mean for you and your family.\nBy the way, if you've read any of my other blood pressure articles on this site, let me reassure you: I am not changing my clinical practice or what I recommend to others, based on the new AHA/ACC guidelines.\nThe core principles of better blood pressure management for older adults remain the same:\n* Take care in how you and your doctors measure blood pressure (more on that here),\n* Start by aiming to get blood pressure less than 150/90 mm Hg, as recommended by these expert guidelines issued in 2017 and in 2014,\n* And then learn more about what are the likely benefits versus risks of aiming for more intensive BP control.\nPerhaps the most important thing to understand is this: treatment of high blood pressure in older adults offers \"diminishing returns\" as we treat BP to get lower and lower.\nScientific evidence indicates that the greatest health benefit, when it comes to reducing the risk of strokes and heart attacks, is in getting systolic blood pressure from high (i.e. 160-180) down to moderate (140-150).\nFrom there, the famous SPRINT study, published in 2015, did show a further reduction in cardiovascular risk, when participants were treated to a lower systolic BP, such as a target of 120.\nHowever, this was in a carefully selected group of participants, it required taking three blood pressure medications on average, and the reduction in risk was small. As I note in my article explaining SPRINT Senior, in participants aged 75 or older, pushing to that lower goal was associated with an estimated 1-in-27 chance of avoiding a cardiovascular event. (The benefit was even smaller in adults aged 50-75.)\n", "labels": "Who should be careful how they measure blood pressure?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-f2aad91a472d4a7ba6b9e61adb74fa8a"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: SEOUL \u2014 This week's summit between North Korean leader Kim Jong Un and South Korean President Moon Jae-in, to be held on Friday, April 27, is expected to produce a denuclearization framework that U.S. President Donald Trump could support when he meets with Kim in May or June.\nThe North's reassuring outreach of late, including its decision to unilaterally suspend all nuclear and missile tests, has set an optimistic tone that a deal can be reached. But it is still unclear if real progress toward peace can be achieved.\nThere have been two past inter-Korean Summits in 2000 and 2007, both held in the North. The first produced a joint peace declaration promoting humanitarian exchanges and economic cooperation.\nFrom the second came support for a permanent peace treaty and a U.S. and China-led deal to end Pyongyang's nuclear weapons program for economic assistance and security guarantees.\nHowever, North Korea's continued nuclear development efforts and missile tests, in violation of past agreements, and other hostile acts, including a alleged deadly attack on a South Korean naval ship in 2010, brought an end to any progress made at these summits.\nLeading up to this week's inter-Korean summit, there are encouraging developments that a nuclear deal may again be within reach.\nU.S. President Donald Trump's maximum pressure campaign, that led efforts to impose harsh international sanctions ending most North Korean exports, are exerting increasing economic pain that could be pressuring the leadership in Pyongyang to actually give up its nuclear arsenal this time.\n\"If the situation continues, the foreign exchange could be depleted and North Korea can face a very serious situation at the end of this year. This is one of the reasons why it has come out in favor of dialogue,\" said Cheong Seong-Chang, a senior North Korea analyst at the Sejong Institute in South Korea.\nNorth Korean leader Kim Jong Un has made a number of concessions already by agreeing to talk about denuclearization without conditions, by appearing to drop past demands that the U.S. end its military presence on the Korean peninsula, and most recently by announcing the suspension of nuclear and missile tests, and closure of the country's nuclear test site.\n", "labels": "Who will be meeting with Kim Jong Un in May or June?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-41e4809d80244a41b070b6edd92d7d8b"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I've shared my feelings about Temple Spa before in my review of Repose Aromatherapy Resting Cream. Basically, my first experience was a very pushy salesperson at a wedding fair several years ago which really put me off the brand, and it took me a while to try their products again. But when I did I was really impressed, and I can honestly say that nothing I've reviewed since has disappointed me!\nToday I'm reviewing Temple Spa Trufflesque, an Ultra  Hydration & Radiance Masque for the face. Trufflesque aims to give hydration and radiance to the skin, and plumps to help reduce the appearance of fine lines and wrinkles. It's a luxury mask suitable for all skin types, particularly dry or dull skin, and it helps to rejuvenate tired skin too. The impressive list of ingredients includes black truffles, gold and silk peptides, but unfortunately these expensive additives contribute to Trufflesque's slightly expensive price tag.\nThe first thing that strikes me about this product is the amazing packaging. All Temple Spa products have really amazing, premium packaging, and I feel that they add to the feeling that you are about to use something really special on your skin. The dark glass jar has a gold lid and it is nestled in a gold and chocolate brown box with the most amazingly cute mask brush slotted in too.\nThe mask itself is gold and it shimmers so prettily, if you look closely it's almost as if you can see the particles of real gold! To apply you just paint the golden mask onto your face with the cute little brush (it makes applying the mask so easy) then leave for 15-20 minutes.  The mask doesn't dry completely, it stays a little bit tacky to the touch, and I find that it makes my skin tingle quite a bit. For extra benefits you can also then massage the mask into your skin for around 2 minutes, before removing with a damp muslin cloth or flannel.\n", "labels": "Who had a really pushy salesperson?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-0ef5fc5c2ab74c6a9132a395fb44f48e"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Back at their house by the cemetery, Paul and Chloe found Bee in her room, what Paul referred to as her sanctum sanctorum - although no one else ever got the joke, and he refused to explain the comic book reference. As always, lighting was minimal (as opposed to Bee's workshop out behind the house, which was flooded with fluorescents). A bank of TV sets and computer monitors covered one whole wall, arranged on a precarious system of metal shelves that Bee had installed herself. A low, flat coffee table squatted below the glowing displays, supporting three keyboards, a bank of video editing tools and four different phone carriages. Bee sat in her accustomed place - in the midst of a pile of cushions on the floor, fiddling with a mouse in one hand and typing on one of the keyboards while she talked quietly into her headset.\nPaul and Chloe didn't bother to knock as they came in - Bee already knew they were there. Paul glanced at one of the screens mounted on the wall. Its display, divided into four quadrants, showed various images from inside the house, including the front door they'd just come through and the stairs they'd just climbed. The screen next to it - which Paul himself had salvaged from a bar on Duval that'd recently renovated into a finedining restaurant - showed images from four other cameras that covered the house's exterior. Nothing happened within fifty yards of their Crew's house that Bee didn't see, and if she had her way, that omniscience would soon extend to cover the entire island.\n\"So, Bee, how goes Project Big Brother?\" Paul asked.\n\"I wish you wouldn't call it that,\" she replied.\n\"Sorry, but I have to call it something.\"\n\"You could call it something nice. Big Brother sounds so mean.\"\n\"What's mean about a reality show?\" said Paul, joking.\n\"What isn't bad about a reality show?\" countered Chloe, stepping in to defend her friend.\n", "labels": "Who referred to an activity as \"Project Big Brother?\"", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-d09b0bae330446408e3768148d95da55"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The sound of the clacking grew unbearable, so we turned the volume down.\n\"Mute it.\"\nWe muted it.\n\"Turn it up; we might miss something.\"\nIt's a silent movie. We won't miss anything.\nThe sound of clacking gradually fills the room as my brother reluctantly turns up the volume. I can tell he's pressing hard on the button, jamming his thumb down in defiance or muted anger. He doesn't like for anyone to tell him what to do with the remote. But my grandmother wants the volume up, so we turn it up.\nWe're all sitting along the edges of the tiny living room, staring at the fuzzy black-and-white images as they hazily walk across the television screen. I can hear a siren outside, barely discernable and then gone entirely.\n\"Who's that?\" my brother asks, evidently past his momentary and barely-noticeable indignation over the remote.\n\"Uncle Arehl, and maybe his sister, Edna,\" my grandmother says, leaning in closer. \"I think it's Edna,\" she says, in the tone of a doctor diagnosing a disease, as if the verdict was somehow relevant to someone who has only the vaguest idea who Arehl's sister is, or was. Uncle Arehl (I don't know precisely whose uncle he is, or for what the two initials of his name once stood) saunters slowly across a dry, patchy lawn, and the camera follows him. For some reason I'm more interested in the lawn--if it can be called that--than in the people on it. The sun in the movie is blazing, and everyone filmed looks only briefly at the camera before averting their faces once again to look at the stubbly grass. The camera pans once again and I can see an incredibly rutted path leading from the porch to the fence at the edge of the yard, broken pieces of concrete amid deep tire tracks fossilized in sun-baked mud. The fence is low, wire like a chain-link, but lower, with metal stakes holding it up instead of tubes.\n", "labels": "Whose sister is Edna?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-58c0168d7eb742da9996fbf7879aea10"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Some years ago a woman on our staff came into my office to, basically, tell me off and complain to me about others and about myself.\nThis woman had not been very supportive of me in my role ever since I began working there. I couldn't figure out if she was arrogant or lacking in self esteem.\nDuring this meeting / confrontation, she told me, in no uncertain terms, just what she didn't like about some recent decisions I had made. I listened to her speak for about 30 minutes. She, quite methodically, tore me apart.\nInitially, I had planned to hear her out, make a few vague remarks, and send her on her way, thinking that maybe she just needed to be heard. But about 20 minutes into her harangue, I had a change of heart. I decided that, if she asked for a response for me, if she asked my advice, I was going to tell her exactly what I thought.\nShe did, in fact, ask me for a response.\nI asked her if she was a happy person, and said that I suspected that she was not, as she came across as a bully and was acting like a horrible person.\nShe sat and looked at me, then burst into tears. I waited.\nLooking up, she said, \"Yes, you are correct. I am a horrible person. And I am miserable. What can I do?\"\nWe spent some time discussing what she could do, and (even though I didn't want to take the time to do it) I asked her if she would like a mentor \u2014 me? She said that she would like such a thing.\nThis woman and I ended up becoming fairly, no, very good friends and she has been one of my strongest supporters. I didn't expect that.\n", "labels": "Who had a change of heart?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-97dd0fa8be7f451b97842fd6ff15aad9"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: As many of you will have seen, unfortunately the Ubuntu Edge campaign did not reach our goal of $32million. The final total reached was $12,812,776. I am hugely proud and thankful to everyone who pledged, supported the campaign, wrote about it, and helped to spread the word.\nSome have described us not meeting the goal as a \"failure\". I don't see it that way. Let's be honest: $32million was always an incredibly ambitious target. We would have liked to have done it for less money, but building a F1 superphone doesn't come cheap (and remember that the $32million didn't include any costs for software engineering and project management\u2026Canonical were providing that for free). It was an ambitious target, but disrupting an industry is ambitious in itself, and we gave the crowd-funding campaign our best shot. The story does not end here though.\nI am not surprised that we didn't hit this ambitious $32million target, but I am surprised at what we did achieve. We broke all the crowd-funding records, garnered media attention across CNBC, Engadget, The Independent, TechCrunch, the BBC, T3, Stuff, The Verge, The Guardian, Wired, pandodaily, Fast Company, Forbes, The Telegraph and more. Every single person who put their support into the Ubuntu Edge campaign should be proud of their achievements and we are all thankful for your tremendous and inspiring support.\nOne thing to be critically clear about is that the Ubuntu convergence story does not end here. We are as voraciously excited and committed to bringing this Free Software convergence story to the world as ever before; our work with OEMs, Carriers, and ISVs continues apace. We have fantastic work going on across all fronts, and we are on track to have a 1.0 release of the Ubuntu Phone platform in October.\n", "labels": "Who covered funding", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-68017e8630d643a1a54d1d3e1b76175d"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Aage Llievang tried explaining to his mother, but she shook her head. \"Now, Aage. Really. Your own car? A car? What would the other co-op members think?\"\n\"Mom, this is a classic! 1952 MG-TD. It's even--\"\n\"British Racing green... yes, Aage. I know. Your father knows. Your grandmother knows. We all know about the car.\"\n\"But Mom, look.\" He waved his Handy at her. The MG glowed on its small screen. \"There's one up for auction on carsforsale.com and I'm too young to bid. You've got to help me.\"\n\"Aage!\" She put her hands on her hips and shook her head. \"Your age is not the problem. You can't even afford it.\"\n\"I'd pay you back.\" How could he explain his fascination with the Vehicular Age to her? The seductive sheen, the rumble, the combustive power of automobiles called to him like a siren at sea. He coveted the sense of possibility inherent in the turn of a key.\nAnd the MG-TD held a place high in his list of hope. British Racing Green, wood dashboard and a four-stroke engine. He had only seen one MG-TD, when he'd gone on holiday with his folks to the U.K. They had been walking down the street in downtown London. Most of the traffic had been pedestrian or cyclist. The occasional fuel-cell car glided by like a ghostly leftover from the Vehicular Age. Double-decker biodiesel buses roared past regularly, trailing the odor of fish and chips after them.\nAnd then it came down the street toward them. A car that purred as its rounded lines soaked up the sun with a green so deep it was almost black. It pulled into the valet parking of a grand hotel and two people got out. Aage barely noticed them. He stared inside the car, where chrome and brass gleamed against a burled wood dashboard. The doors of the car shut with the heavy thunk of real metal. A valet pulled the car out of the parking circle and Aage never saw it again.\n", "labels": "Who wanted to buy a 1952 MG-TD?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-b9a2b78eed4649d887a1af8811db715f"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I have never had a lot of money. But I don't believe you have to have a lot for it to become burdensome. Money has always seemed to be a burden. Either you have it and the obligation and responsibility becomes a burden (so I've been told, ha) or you don't have it and life without money becomes a burden. I guess money became a burden to me when I started paying my own bills.\nLet me explain. I raised my 2 girls by myself. I was fortunate to have a good job as an office manager for a doctor in Dallas. I was able to pay my bills and juggle things around to afford what the girls needed for school and what not. When I didn't have money for something they wanted I felt like I carried the world on my shoulders. I didn't let them know how stressful it all was because I felt like it was none of their business. They were kids and needed to be kids. They would soon enough be feeling the stress of managing their own household and shouldn't be asked to help shoulder that burden as kids.\nOnce, me and my youngest daughter, who was an adult at this time, went to a drive in fast food place and got a couple of drinks. My daughter was treating me and when the car hop came to deliver the drinks, my daughter gave her $5.00 as a tip, which was more than the drinks! I, of course, asked why she did that and she told me that they live off their tips and she knew what that was like having been a waitress before. I said something about her needing the money as well and how money makes the world go around. She said \"No, Mom, you can be dead-assed broke and the world is still going to go around.\"\nThat was when I quit letting money be a burden.\n", "labels": "Who gave the car hop a $5.00 tips?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-4474ff841248486db93206d632e68208"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: President Donald Trump suffered a political setback Tuesday when Democrats won easy victories in governor's races in Virginia and New Jersey. In addition, Democrats cheered a turnout that could have major implications for next year's congressional midterm elections, when all 435 House seats and one-third of the Senate will be on the ballot.\nDemocrats are pointing to exit polls in both Virginia and New Jersey that showed that anger at Trump was a major factor in stimulating Democrats to get to the polls. They also note Democratic gains in the battle for state delegate seats in Virginia, another sign of grass-roots enthusiasm that could help Democrats in races for lower-level offices across the country.\nIn New Jersey, Governor-elect Phil Murphy, a Democrat, saw his election as a direct rebuke of the Republican president.\n\"New Jersey sent an unmistakable message to the entire nation. We are better than this!\" Murphy told cheering supporters at his victory rally.\nIn Virginia, Democrat Ralph Northam defeated Republican Ed Gillespie in a campaign that focused, in part, on Trump and his policies, especially on immigration. At a news conference Wednesday, Northam said his victory showed that Virginians had a message for the country and the world.\n\"The divisiveness, the hatred, the bigotry, the politics that is tearing this country apart, that is not the United States of America that people love and it certainly not the Commonwealth of Virginia that they love,\" he said.\nPolitical analysts said Democratic enthusiasm and a focus on Trump were clearly on display in both states.\n\"We have heard for months and months about all this energy on the left. It had not materialized until tonight,\" said Steve Peoples of the Associated Press. \"A big night for Democrats and, really, it was a repudiation of sorts of the Trump nationalist message.\"\nEven some Republicans saw the results as a rejection of the Trump political brand. Representative Scott Taylor of Virginia told the New York Times that he believes the president's \"divisive rhetoric\" helped the Democrats on Tuesday.\n\"I do believe this is a referendum on this administration,\" Taylor said.\n", "labels": "Who did Scott Taylor believe had divisive rhetoric", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-bd4fe20ff5ab4fc890376e9b6b866c29"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: So, there I was. Hanging out in my swimsuit, hair drawn back, just minding my own business and relaxing in the delicious, luxurious Scandinave Spa, a stone's throw from Whistler town centre.\nThe husband and I had split up for the afternoon \u2013 he had decided to traverse the peaks of Whistler and Blackcomb on the peak2peak gondola, and I'd chosen a slightly less terrifying mountain vista to enjoy.\nIt was just one of those days where we'd decided happily to do two different things, and meet up afterwards for a spot of dinner.\nCascading down the hillside, the Scandinave Spa's rustic installations nestle on the edge of the Lost Lake Park spruce and cedar forest and promises to both relax and invigorate you, and provide an escape from daily stress. With several levels of hot and icy plunge pools, sauna and steam rooms, everyone wanders from indoor to outdoor relaxation spots \u2013 from sun-soaked spot to waterfall spout back massages. Bliss.\nIt's also a place where silence is \"essential to the experience. By embracing silence one finds inner stillness, leading to complete relaxation.\" To be honest, most people who couldn't be quiet i.e. me just talked in hushed tones, but it made for a super chilled few hours. Until\u2026\n\u2026I was sitting in one of the steam rooms (does that make the title clickbait? Sorry \u2013 using the title \u2018steam room with Lady Gaga' made it sound as though we were chickens cooking in a slowcooker) and a very, very slim blonde lady slipped in. Queen Gaga herself.\nI've got to be honest, sticking to the \u2018no eye contact with other people who are chillaxing' rule, I didn't pay very much attention to what was going on, but after 25 minutes or so of basting relaxing, I stretched languidly \u2013 my bones like toffee \u2013 and wandered out to the next room, and looking up from the drinks table, had to blink several times as she followed me out. Trying to play cool, I tried keep a poker face (after all, she was there to relax and recuperate in the middle of a big Canadian tour, she didn't need a random Kiwi gawking at her) and watched from the corner of my eye as she walked into one of the big yoga rooms.\n", "labels": "Who didn't need a random kiwi gawking at her?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-264409bcd0394bf8bb60e4e8bc25c811"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: One student started packing up at the beginning of a lab exercise. I asked him where he was going. He said \"I'm going to fail this class anyway, so I have other things to do.\" It was true that he wasn't doing well, and we had addressed this previously, but his attitude was completely defeatist. He had given up.\nSo, there, in the middle of class, before he could get away, I said \"Well, yeah. You will certainly fail if you don't even try. I thought you were graduating at the end of this semester.\"\n\"I'm supposed to, but I won't, because I'm going to fail physics. All I need is a D.\" (He was right; his major didn't require knowing any physics but they put it in the curriculum as a kind of gatekeeper course. Most students took physics much earlier in their studies than he did.)\n\"If you have already decided to fail, I can't stop you; you're an adult. But you can make an appointment with me anytime. You already know that. You can email me. It's my job to help you understand, but you have to come to me. You are an adult. It would be very inappropriate of me to follow you around, inviting you to office hours. And you must do the homework and the labs.\"\nHe stayed for the lab. I notified his counselor about what was going on, and she called him in and said the same things that I said.\nNext class he moved from the seat at the edge of my peripheral vision, to the middle, started working his ass off, and he passed. For a while I thought he was closing in on a C, but he got his D and graduated.\nAnd I didn't give him anymore of a grading break than I give any of my students.\n", "labels": "Who thought he was going to fail?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-2a7bd9a6543444748d80d903d2eb68ac"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Both gross and tragic. The 1980 Bank Robbery in Central Nyack that was medically managed at the Nyack Hospital where I responded to the ONLY Code 66 of my career. That \"66\"indicated for us an external disaster about to unload in our emergency room. The two policemen who were mortally injured and died on our stretchers were personal friends and one the boyfriend of one of the nurses.\nTheir injuries were from machine guns where the flesh is riddled with explosive elements as opposed to a gunshot wounds where there is both an entry and exit site. In our Trauma and Triage Course we never learned about machine gun injuries.\nAdditionally there were the criminals who were also injured and of course we needed to treat them as any other patient regardless of their behavior. The friends of the injured policemen were trying to get to these villains and it was just the most awful evening of my life. To this day I remember feeling nauseous in a way I had never felt before. We had debriefing sessions for weeks and of course were very upset for months. The wounds we had to address, the insertion of chest tubes and everything else all in such a rapid manner was indeed a more than gross situation. There was even open heart massage. Private doctors reported to help; many are not trained or current in emergency medicine; much is left to critical care nurses in a community hospital that is not a teaching institution with residents and interns on staff.\nRecently one of the women involved in this crime came up for parole. Of course there was great opposition from the community relative to her release. She was young and that was 38 years ago. I believe people deserve a second chance, but of course this is a very controversial matter.\n", "labels": "Who were those placed on stretchers?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-d82164f546774d6cbc20d2cf3f589c4d"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: The leading U.S. presidential hopefuls reacted strongly Monday to the massacre at a gay nightclub in Orlando, Florida.\nSunday's incident that left 49 people dead and 53 others wounded was the worst mass shooting in U.S. history. The gunman, Omar Mateen, was a U.S. citizen and the son of Afghan parents.\nIn her first speech since the shooting, presumptive Democratic presidential nominee Hillary Clinton told supporters in Cleveland, \"The Orlando terrorist may be dead, but the virus that poisoned his mind remains very much alive.\"\nClinton laid out a multi-faceted approach to combating terrorism. The plan would disrupt terrorist groups by infiltrating their online networks, enhancing intelligence sharing among local and federal law enforcement agencies, and asking allied nations to help \"prevent the radicalization and recruitment\" of potential terrorists in the U.S. and Europe.\nIn an apparent response to presumptive Republican Party opponent Donald Trump's charge that President Barack Obama and other Democrats refuse to use the word \"radical\" to describe terrorists who happen to be Muslim, Clinton said earlier on CNN that she is not afraid to use the term, but says she refuses \"to demonize and demagogue and declare war on an entire religion.\"\nDoing so, she said, \"plays right into the ISIS' hands.\" ISIS is an acronym for Islamic State, which is also known as IS, ISIL and Daesh.\nClinton called for citizens to reach out to Muslims in the United States \"to help us defeat this threat.\" She cited the need for \"common sense reform\" of gun ownership laws, including a ban on assault weapons.\nAfter Obama did not use the term \"radical\" in his remarks Sunday from the White House, Trump criticized Obama's approach to extremism and said the president \"should step down.\"\nTrump, meanwhile, renewed a call for a ban on the entry of Muslim immigrants into the United States.\n\"The only reason the killer was in America in the first place was we allowed his family to come here,\" Trump said in a speech to supporters in Manchester, New Hampshire. Trump said he would lift the ban when the government develops the ability to screen people \"perfectly.\"\n", "labels": "Who said she would not declare war on an entire religion?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-b8805f19c57a4b18b1274fe364649a66"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I've had two. Both happened in Newport RI when I was in the US Navy.\nFirst, I lived in a cottage that was in an old motel. It had a cottage in front where the landlady lived and there were ten little cottages in a half-moon configuration around it.\nOurs was a party place and we didn't have a phone. This was in the early 1970's. The landlady was in her 50's I'd guess. The only phone was a pay-phone outside her cottage and it was o party line with her phone. When we used it, she would try to listen, especially if we were talking to a girl. We could tell and sometimes we'd ask he to hang up, but other times we'd talk about sexy stuff and let her listen.\nWe could hear her breathing heavy when we did.\nWhen we'd be parting, she'd come to the door wearing sexy clothes that were completely inappropriate and want to be invited in.\nThough we were a bunch of horny sailors, no one wanted any part of that.\nWe never let her come in.\nI got married and moved into an apartment that was three rooms in a huge old house. They closed that Navy base and all of the sailors were transferred elsewhere. There were bumper-stickers that said, \"Will the last sailor to leave, please turn out the lights.\"\nIn those days, Newport was a small town that leached off of sailors.\nMy landlord said that when my wife and I were completely out and it was completely clean, he'd refund my deposit.\nWe left the apartment immaculately clean and he wouldn't refund my deposit. That was nearly 50 years ago and it still pisses me off.\n", "labels": "Who wore sexy clothes?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-53617916c2964c899bbad06508234cdc"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Alona's persistent knocking at the door of room 412 went unanswered for three minutes as she nervously shuffled her feet. Her book bag was super-saturated with textbooks, notebooks, schedules, rough drafts, and various other forms of academic paraphernalia. It was getting heavier. She continued to knock, even though there had as yet been no answer, because the note card tacked to the right of the door indicated that these indeed were Prof. Turgy K. Sigger's office hours. She could see the light under the door and thought she had heard a groan. Just before she decided to give up, slow feet approached from the opposite side, then silence; with a dramatic turn of the knob, the door swung open.\n\"Was this trip really necessary?\" asked Prof. Sigger, blinking and brushing his oily, graying hair back into place.\n\"These are your office hours,\" Alona replied. She nervously smiled, feeling the corners of her mouth twitch. Somewhere in the darkened hall, a janitor coughed.\n\"All right,\" conceded Prof. Sigger. \"Come in.\"\nThe carpet was smothered by leaning towers of textbooks. Papers lined the left side of the desk, above which was a small note card which read \"To Be Graded.\" On the right side, the oak finish gleamed of the mid-morning light piercing the Venetian blinds.\n\"You've come about your final project,\" Prof. Sigger stated.\n\"It's only mid-term,\" Alona reminded him.\n\"Oh yes, yes,\" continued Prof. Sigger, without conscious embarrassment. \"Mid-term grade. I think I have it here. Somewhere.\" His hands disappeared into the left side of his desk.\n\"You told the class that we would get a C if we maintained that Coca-Cola isn't a crypto-fascist conspiracy.\"\n\"Oh yes,\" said Prof. Sigger. \"We were discussing social issues, as I remember. I was quoting Marx and some little idiot brought up Rush Limbaugh.\"\n\"That was me,\" Alona muttered.\n", "labels": "Who quoted Marx in class?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-2a5862f230a04232ab7decbf502c053e"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: In a race with national implications, Democrat Conor Lamb declared victory in a very close special congressional election held Tuesday in Pennsylvania.\nOfficially, the race has not been called for Lamb, who holds a lead of 627 votes over Republican candidate Rick Saccone, a strong supporter of President Donald Trump. It's possible Saccone and his supporters may request a recount, given the close vote.\nEven though Lamb's apparent victory is narrow, the Pennsylvania result could broaden implications for Republicans looking to defend their congressional majorities in the House of Representatives and Senate in the November midterm elections.\nLamb ran surprisingly strong in a district that Trump carried by nearly 20 points, campaigning as a moderate Democrat.\n\"We fought to find common ground, and we found it, almost everywhere. Democrats, Republicans, independents \u2014 each of us, Americans,\" Lamb told supporters early Wednesday.\nSaccone was not ready to concede the race. \"We are going to fight all the way to the end. You know I never give up.\"\nThe Pennsylvania race follows Democratic victories late last year in Virginia and Alabama, fueled in large part by what some analysts see as an anti-Trump theme that continues to build.\n\"The opposition to Donald Trump is as intense as I have seen since the last year of [Richard] Nixon's presidency,\" said University of Virginia political scientist Larry Sabato via Skype. \"It is so intense, it is so hot, that it could result in a much bigger turnover than we think in the midterm elections to the Democrats and away from the Republicans.\"\nSaccone cast himself as the president's \"wingman,\" and Trump campaigned on his behalf at a rally last Saturday when Trump urged Republicans to get out and vote.\n\"We want to keep the agenda, the make America great, going. You have got to get him in. This is a very important race,\" Trump said.\nDemocrats were thrilled with the result, while some Republicans saw the race as a \"wake-up\" call for what could be a devastating midterm in November.\n", "labels": "Who was the Democrat candidate running in the Pennsylvania election?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-d3ec895e4fe34fc19ddb6ea0b8168185"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Years back, following a transition inside a large company where many people got fired and moved around, the decision was made to give the remaining people more work. Now, let me pause here, when I say, \"more work\" did not mean more of the existing work they already did. \"More work\" did not mean work of what they already knew, or signed up for when they were hired.\nMore work meant incorporating a completely different role. For me, I'm a programmer. And \"management\" decided they wanted programmers to also do BA work. Now, mind you, nowhere on my employment contract does it state I'd have to take a BA role. And nowhere on my employment contract did it state taking a BA role would also require me doing all of my programming work.\nSo, after being pushed a few times to attend BA meetings, I got fed up. So I pulled my manager into a meeting and explained this to him. I said, you have two choices:\nI do two roles, BA and programmer, and I get a new salary to account for the role. When he asked how much, I said, take my salary and multiply by 1.6.\nOption 2, I go back to programming, and you never pull me into a meeting again on BA work. It's not what you hired me for, and it's not what you pay me for.\nWhen my boss replied, \"Our company is not in the position to pay for two roles\", I told him, then it sounds like Option 2. And by the way, I don't ever want to have this discussion again. If you want Superman performance, you cannot pay Clark Kent wages.\n1 year passed and I was never bothered again about BA roles.\nTakeaways: Middle managers are one step above one-celled organisms. They can, and will try to get you to do non-role work, with no intention of ever paying you more. They key is to cut it off at the pass.\n", "labels": "Who wanted be compencated for an extra load of work?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-f84274aa2fe54c31b8362af7317aebc5"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Manny had Bob Marley cranking on the stereo, his van was full of passengers, and the air conditioning was working after a long week of giving him trouble. The sun beat down on the wet-looking asphalt road that ran along the harbor, next to the concrete waterfront. It curved along in front of the brightly colored Dutch Colonial warehouses of Charlotte Amalie, which were now converted restaurants and jewel shops. Tourists in day-glo shirts and daubs of sunscreen rubbed over peeling skin crowded both sides of the waterfront road. Manny slowed somewhat, keeping an eye on them. On the sidewalk by the shops a tall black man stood by a food cart. The hand-painted wooden sign hanging from the cart's side had faded letters. The man wore a grand suit with tails, like an orchestra conductor, and a top hat perched on his shaved head. A cigar burned in his mouth. For a brief second he held Manny's attention. Then the food cart's owner stepped forward and the strangely dressed man disappeared. Manny looked at the other side of the road. A white girl with oval shaped sunglasses and pink leather pants stepped off the sidewalk into the road in front of his van. He slammed on the brakes, trying to dodge her, but the van couldn't respond that fast. Her ponytail flew up towards the windshield and her head struck the star-shaped hood ornament. She bounced along the asphalt. Manny weaved the van to a stop, with swearing from the passengers in the back. He opened the door and stepped out into the heat. Get up, stand up, the radio cried out, and that was what Manny hoped would happen. He hoped that she would at least just stir and be okay. But she just lay there.\n", "labels": "Who was smoking a cigar?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-35a45df3fdff4f3db631aea0d32bf5c9"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: SEOUL, SOUTH KOREA \u2014 U.S. President Donald Trump's decision to withdraw from the Iran nuclear agreement is not expected to derail diplomatic momentum to reach a deal to end North Korea's nuclear weapons program, but it could complicate the negotiation process, analysts say.\nTrump on Tuesday announced that the United States is ending its participation in the 2015 Joint Comprehensive Plan of Action (JCPOA) that lifted sanctions on Iran in exchange for Tehran limiting its nuclear program, and would re-impose U.S. economic sanctions on Iran. The agreement was negotiated by the administration of Trump's predecessor, President Barack Obama, and involved five other world powers; Great Britain, France, Germany, China and Russia.\nTrump's National Security Adviser John Bolton said the U.S. decision to re-impose sanctions on Iran will set a higher standard for North Korea nuclear talks by sending, \"a very clear signal that the United States will not accept inadequate deals.\"\nThe U.S. policy reversal on Iran should not seriously impede diplomatic progress underway with North Korea, said Victor Cha, a noted Korea scholar with the Center for Strategic and International Studies in Washington.\n\"In terms of how the North Koreans would take it, I don't think they'd take it one way or the other. I don't think they'd see it as negative or positive because they think they're different from anybody else anyway. They think they're a very special case,\" Cha said at a CSIS conference this week.\nWhile the Iran deal limited that country's efforts to develop a nuclear bomb, North Korea already possesses 20 to 60 nuclear warheads, according assessments by the U.S. Central Intelligence Agency and the Defense Intelligence Agency, and between 40 to 100 nuclear development facilities, according a report from the RAND Corporation security research organization.\nBut apprehension over whether future U.S. presidents would uphold a nuclear deal reached by Trump could reinforce the North Korean demand for early concessions.\nJohn Delury, a North Korea analyst with Yonsei University in Seoul, said on Twitter, \"I don't think this is insurmountable but it adds yet another layer of difficulty.\"\nIn some ways Pyongyang may be reassured that a deal reached with the Trump administration would likely be supported by the next administration to follow.\n", "labels": "Who announced the US is ending participation with JCPOA from 2015?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-1d69d5be2118425097e059c0e7b89ecc"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: My father lost something valuable to him that didn't resurface for years after his death.\nMy dad was a World War II veteran and an officer. All officers were issued the classic Ray Ban sunglasses with the wraparound wire rims. He wore them almost all the time for the next thirty years after the War, then one day in the 1970's, he misplaced them. He was heartbroken, crestfallen, that he lost something he cherished from his military service\u2014the symbolic military issue Bausch & Lombs coveted by every officer who served.\nI wanted so badly to be my dad's Hero. I overturned every piece of furniture in the house, rifled every dresser drawer, every nook and crannie, underneath beds, the garage, the yard, you name it. I was on a Mission. I wanted to walk up to him and say, beaming, Here Dad! I found your sunglasses! But alas, after several weeks, no success. I was crushed by my own failure.\nHe passed away, and his possessions were divided among our family.\nFast forward to a few years ago. My Cocker Spaniel was sniffing around in the bathroom, and a box fell out of the bathroom closet with a crash. I went to investigate and chide the dog\u2026when the first thing I saw on the bathroom floor next to the overturned box was the yellowed leather case, and his wire rim sunglasses. I picked it up, held it in my hand, and I, a grown man, immediately burst into tears, sobbing. Suddenly, I was nineteen again. My wife asked what was the matter, and I told her the whole story.\nI figured after his passing, his sunglasses\u2014which evidently were in the house the whole time\u2014were probably tossed into one of many anonymous cardboard boxes, and I happened to be the one who carried off the box containing them.\nSo here Dad! I found your sunglasses! I love you! Am I still your hero?\n", "labels": "Who misplaced his Ray Ban sunglasses?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-04c352a47b494ea0b2922383267e52f8"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I have unfriended someone over his near daily harassment of me to come over to his way of thinking.\nWay back in 2006, when Facebook was a young whelp and I had a newborn who steadfastly refused to sleep at night, I would sit and connect with old friends from university and high school, many of whom I had not seen or spoken with in more than a decade.\nOne of those people was Scott. Scott was a super nice guy. He was a year ahead of me at university. He was a bit socially awkward but you really couldn't hope to meet a more genuine individual. Like most people, Scott had had some ups and downs in his life. At some point he found religion. Like he really, really found it. Now, I am somewherere between an agnostic and an atheist but my attitude is generally live and let live. But Scott couldn't do that. Almoost every day he would send me some sort of message.\n\"What do you pray about?\" I don't.\n\"God loves you, he gave his son for you, why don't you love Him?\" Because I don't believe He or his Son exist.\n\"What are you going to say when you die and stand before Satan instead of God?\" Missed that by a mile, didn't I?\nThis went on for a few months. His questions became increasing unhinged and the only thing that mattered to him were his beliefs. Mine were of no consequence. I had asked him, politely at first and then more assertively, to stop bombarding me with his attempts to convert me or to witness to me. All to no avail.\nFinally, I'd had enough and decided I had better things to do. I pulled the plug and unfriended Scott. He's sent me several friend requests over the years, all of which I have summarily ignored.\n", "labels": "Who sent the author several friend requests over the years?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-a6eaeb9fe25b4dc486f3ac5615e36a26"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Earlier this year my depression got very bad, very quickly. I'd been having intrusive suicidal thoughts for a while. It was a combination of a bad medication regimen and lots of little stressors\u2014school, work, a car accident, you name it. I took to a very private social media account that only those I was closest to could see. I used that account to rant about my problems. It was my coping mechanism and how I kept myself sane. Somehow just typing it out got it off my chest in ways writing in a journal couldn't (now, I try to use Quora for this purpose instead).\nOne night in early March I went to a performance that my friends were part of. I went alone. While I was there, I got a series of texts regarding my girlfriend. I knew that what those texts said would cause me an immense amount of stress and sleepless nights. I went onto my social media account.\nI don't remember exactly what I posted. It wasn't specific, but rather something along the lines of \"I'm stressed, this is the cherry on top, I honestly don't know how I'm going to handle this.\"\nWhatever it was, someone who followed that account knew I was at my breaking point. They called an anonymous tip line and reported that they believed I was in danger of killing myself. I got home from the performance at midnight and my dad was in my driveway. I asked him why. He told me he'd been contacted and that someone reported a concern about me.\nI was admitted to the hospital the next day, and I spent a week an an inpatient psychiatric unit where I received better medication, therapy and coaching on positive coping mechanisms. Whoever called saved me, but in a way I saved my own life that day. What I thought was just another routine post about stress got me the help I so desperately needed. I know without it, I would have ended my own life that day. Funny how that works.\n", "labels": "Who was the person in the narrator's driveway?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-f4ac8165eac44941b13c4b0387db8e03"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: SEOUL, SOUTH KOREA \u2014 South Korean President Moon Jae-in said he urged North Korean leader Kim Jong Un to directly engage with Washington to salvage the June 12 nuclear summit with the U.S., when the two leaders held a surprise second inter-Korean summit Saturday.\n\"I emphasized that the two sides must directly communicate in order to eradicate any misunderstandings, and preliminary talks through working-level negotiations on key agendas are necessary,\" said President Moon at a press briefing in Seoul Sunday.\nNorth Korea requested the meeting between Kim and Moon after U.S. President Donald Trump on Thursday canceled the Singapore summit. Trump said his decision was based on the \"tremendous anger and open hostility displayed\" by North Korea officials recently over U.S. demands that Pyongyang follow the Libya denuclearization model.\nNorth Korea sees that model for rapid and complete denuclearization as a threat to the Kim government's security, since Libyan leader Moammar Ghadafi was later overthrown and killed by his own people, with support from a multinational military coalition that included the U.S.\nPyongyang has called for a more incremental process that links concessions to partial nuclear reductions and postpones complete denuclearization until the North's security demands are met.\nMoon met with Kim on the North side of the inter-Korean border, in the same village of Panmunjom where the two leaders held a summit in April. At that meeting, on the south side of the border, the two leaders jointly declared their support for the denuclearization of the Korean Peninsula.\nOn Saturday Moon said Kim reaffirmed his commitment to end his country's nuclear weapons program, but shared his key concern that the U.S. would work to destabilize his rule despite any security guarantees it offers.\n\"What is uncertain for Chairman Kim Jong Un is not his willingness for denuclearization, but he has concerns over whether North Korea can trust the fact that Washington will end its hostile relations, and guarantee the security of the regime if North Korea does denuclearize,\" Moon said.\nTrump has said Kim would be both secure in his rule and rich, as the U.S. and other countries would offer substantial economic aid and investment.\n", "labels": "Who cancelled a summit with North Korea because of the hostility coming from North Korea over denuclearization demands?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-2fad435acfb545429ae3291851088094"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: SEOUL \u2014 The annual U.S.\u2013South Korea joint military exercises currently underway have historically been a very public demonstration of force intended, in part, to counter North Korea's aggressive nuclear and missile tests. But with looming diplomatic summits aimed at reaching a deal to end the North's nuclear program, media coverage of the drills has so far been limited.\nThis week, the U.S. Second Infantry Division held a public tree planting ceremony at Camp Casey in South Korea, near the inter-Korean border.\n\"It is my belief that this tree, like those that have come before it, shall symbolize the roots that bind us together, and to our past in an enduring way,\" said General Jon Howerton, the deputy commander of the U.S. 2nd Infantry Division, at the event.\nThe journalists attending the tree ceremony were also permitted to watch a shooting competition to determine the best marksmen in the participating U.S. and South Korean divisions.\nThe Camp Casey event was one of the few joint military training activities that news organizations have, so far, been allowed to cover, and it illustrates how the United States and South Korea are downplaying the offensive component of this year's combined exercises.\n\"This is clearly in order to send a signal to North Korea that South Korea and the United States are not willing to escalate the situation any further,\" said Go Myong-Hyun, a North Korea analyst with the Asan Institute for Policy Studies in Seoul.\nThis year's Foal Eagle and Key Resolve combined military exercises are similar in scale to past drills, with more than 23,000 U.S. troops and 300,000 South Korean forces engaging in joint battlefield maneuvers, and responding to computer-simulated attacks from North Korea.\nBut the start of the drills was delayed this year at South Korea's request to set a peaceful tone for the Pyeongchang Winter Olympics in the South and to facilitate the North's participation in the games.\n", "labels": "Who's belief was it that the tree would bind the countries together?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-7947e55bb98246369f2f101a6d2f04b4"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Have you ever sat around and thought about how you'd create your dream kitchen if you had the chance? Well, we are on the verge of a move (whenever the house sells, we'll move), and I keep thinking that I need to sit down and write a list of our \"would likes\" and our \"must haves.\" That way, when we are house hunting, we'll already know what we're looking for.\nFor a chance to win an Un Amore custom-designed KitchenAid Stand Mixer from PartSelect, I have been thinking about the top three \"would likes\" for our new kitchen and decided to check out what KitchenAid has to offer! I discovered three appliances that would change our reality kitchen into a dream kitchen.\nWe have two young boys that will change into tweens and teens before we know it. Big Brother has always been a good eater, open to trying just about anything we put in front of him. However, discovering that he actually does have some control over what he does, he's lately turned up his nose on occasion. Little Brother is exactly like me when I was young. He turns his nose up at just about anything. Although he did just spend a week with his grandparents and decided he would eat and make up for lost meals\u2026and make me out to be a liar!\nAnyway, I keep reminding myself as I find myself challenged at mealtimes, that soon enough, they'll be eating us out of house and home. So, one of the larger dream kitchen appliances I'd like in our home would be a double oven! I just think it'd come in really handy when trying to keep up with their metabolism down the road!\nWhen you're preparing a lot of food, you're typically buying a lot of products, and the garbage and recycling bins fill up faster than ever as well. The second dream kitchen appliance I wouldn't mind having would be the KitchenAid Trash Compactor, reducing our use of garbage bags and trips to the outside dumpster. Plus, I think I'd like not having to smell the garbage all the time!\n", "labels": "Who is giving the prize?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-7c04c5c724c84457a75806231546444c"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: U.S. President Donald Trump is sending a $4.4 trillion budget request to Congress that includes money for a southern border wall and building up the military, but is projected to increase the federal deficit by more than $1 trillion.\nWhite House officials all but acknowledged the proposal unveiled Monday has little chance of becoming law \u2014 Congress alone controls federal government spending. But the White House insisted the budget proposal still sends an important message about Trump's priorities.\n\"This is a messaging document,\" White House budget director Mick Mulvaney told reporters at a briefing Monday.\nThe Trump budget calls for major cuts to domestic programs such as Medicare, Medicaid and food stamps. But the plan would still not balance the federal budget, in part because of reduced federal revenue due to tax cuts passed last year.\nDemocrats widely rejected the plan. House Minority Leader Nancy Pelosi called the proposal a \"brutal collection of broken promises and staggering cuts.\"\nThe proposal's failure to eliminate debt is also likely to upset some Republicans, who have traditionally opposed budget deficits.\n\"It's simply adjusting to the Washington, D.C., we live in,\" Mulvaney said, stressing that the new budget plan would help \"turn the tide\" on national debt.\nThe White House proposal builds on the massive, two-year spending bill passed last week by Congress and signed by the president. That bill includes a major boost for the military, as well as domestic programs.\nMulvaney, a former lawmaker and long-time opponent of federal debt, has acknowledged he likely would not have supported the bill were he still in Congress.\nBut he said the new White House proposal does not mean that all of the money approved by Congress must be spent.\n\"These are spending caps, these are not spending floors,\" he said.\nUnder the two-year budget deal reached last week by Congress, the Pentagon will get a record-high $700 billion for 2018 \u2014 fulfilling a Trump campaign pledge.\n\"We took care of the military like it's never been taken care of before,\" Trump said Monday.\n", "labels": "Who said the proposal doesn't mean that all approved funds must be spent?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-772da27aa4f04de0b761b10060ed56ef"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Let's rewind to January 2013 for a moment. It's a sunny and warm day in Los Angeles\u2014a bit of a weather shock to me after 11 years of Seattle's cold and rain. I've been officially on the job in the web department for all of 12 hours. I'm sitting in a conference room at a big wooden table, surrounded by my new coworkers and team members in the Getty's web group. A big monitor is displaying the prototype of the newly designed and almost-built Getty Iris. We're discussing The Iris logo you see at the top of this page, its multiple iterations, and, quite frankly, the pain involved in trying to get it to look right.\nWait-wait-wait, let's pause for a moment.\nMy name is Will Lanni. I'm a Web production specialist at the Getty, which is a complex way of saying I'm a developer and designer, which is a nice way of saying that I'm basically a \"web monkey.\" Before I started at the Getty, I worked as a partner in a small web design and development firm for several years. I had some experience working for the Getty\u2014I built the Pacific Standard Time at the Getty site, the Pacific Standard Time Festival site, as well as the interactive Getty Impact map. And, at the time of my hiring, I was not only working on the new design and build of The Iris, due to go live in only a month, but also the soon-to-be-launched website for Pacific Standard Time Presents: Modern Architecture in L.A. So I wasn't exactly new to projects at the Getty, even though I was a brand-spanking-new full-time employee.\nOK. Now that you know who I am, let's get back to that moment. The Iris logo, and the hair-pulling it was causing for all of us\u2014which is a pretty good representation of the steps that Web projects go through as we move from idea, to execution, to setback, to solution.\n", "labels": "Who was a Web Production specialist at the Getty?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-1de3546e73c74ecc969e816a4edfea54"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Patch's mother was named Silver, because high summer sun made her fur shine that colour. She had a marvellous drey high up a spruce tree, carved out long ago by a woodpecker, and since extended into a two-chambered home full of bright things. The journey along the sky-road to her drey did not take long. When Patch looked inside, he saw a hundred colours glittering in the sunlight, shining from bits of metal and glass set into Silver's walls and floor. But his mother was not there.\nHe could tell by the faintness of her smell that no squirrel had been here in some time. There were two faint traces of scent, several days old; that of Silver, and that of another squirrel, a musky scent that Patch did not recognize. A scent that made his tail stiffen as if danger was near.\nPatch stared into his mother's empty drey for a moment. It wasn't normal for a squirrel to abandon her drey for days, not in the middle of winter. And he hadn't seen Silver for three days. Not since all the acorns had disappeared from the earth.\nPatch ran back to his own tree, and then to the maple tree next door, to his brother Tuft's drey. He ran very fast. He was hungrier than ever, and he was beginning to be very worried. He was relieved when he looked into Tuft's drey and found it occupied. Tuft himself was not present, but Brighteyes was, and their babies, and it was clear from the smells that Tuft had only just departed.\n\"Hello, Patch,\" Brighteyes said weakly. \"Would you like to come in?\"\nPatch entered. Brighteyes was curled up with her babies in the drey's deepest, warmest corner. The last time Patch had visited, a week ago, this had been a den of noise and chaos, with all Brighteyes' four babies running and jumping and playfighting. Today they lay weakly beside Brighteyes, and the once-shining eyes from which their mother had taken her name were dim and clouded.\n", "labels": "Who hadn't Patch seen in three days?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-c75136caecde409f97c862c530fe5993"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: SINGAPORE \u2014 In an agreement signed Tuesday in Singapore, North Korean leader Kim Jong Un \"reaffirmed his firm and unwavering commitment to complete denuclearization of the Korean Peninsula,\" while U.S. President Donald Trump \"committed to provide security guarantees\" to North Korea.\nThe document also calls for the two countries to jointly work on efforts to build a lasting peace on the Korean Peninsula, to establish new U.S.-North Korea relations and to recover the remains of prisoners of war and military members missing in action. The two sides also promised to hold follow-up negotiations.\n\"We're going to denuke North Korea,\" Trump told VOA contributor Greta Van Susteren.\nHe also said neither side issued ultimatums and that the agreement Tuesday was the result of months of negotiations.\n\"You know that could have ended in a war, that could have ended with many millions of people \u2014 you know North Korea very well, Seoul has 28 million people, that could have ended with millions of people dead but we ended with a deal,\" he said.\nTrump also told VOA that U.S. troops stationed in South Korea will remain in place, but announced one concession long-sought by North Korea.\n\"We are going to get out of the war games that cost so much money,\" he said.\nTrump said at later news conference that existing U.S. sanctions will remain in place until North Korean nuclear weapons \"are no longer a factor.\"\nAs for verification, Trump said he and Kim discussed the issue and that monitoring denuclearization efforts would be achieved \"by having a lot of people there.\" He also predicted Kim would begin work right away to \"live up to\" the agreement.\nAsked if the talks included specifics on the size of North Korea's nuclear arsenal, Trump said \"what they have is substantial.\"\nOn human rights, Trump said Tuesday's meetings only very briefly touched on the topic, but that the two sides would discuss it more in the future. When asked about thousands of people imprisoned in labor camps, Trump said he thinks he has helped them because things in North Korea will change.\n", "labels": "Who said that the agreement was not a result of ultimatums?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-150436fbe3b149478ea77ecac69851d9"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: If you turned on the TV towards the end of 2002 you could have been forgiven for thinking that Britain had gone absolutely horseshit mental. Every week, it seemed, another pretty young girl from a nice family, who was happy and popular and always did well at school, was being kidnapped or murdered by what the Sun newspaper cheerfully termed 'evil paedo scum'. Naming and shaming was as popular a feature in the Murdoch press as Page Three girls and discounted holidays to Butlin's.\nOf course you can't blame parents for wanting to keep their children safe; that's pretty much the job description of a parent. And, on the face of it, the tabloids were doing a public service in warning us about the paedophile menace lurking in our midst. The problem came when it turned out that a huge number of these concerned tabloid-reading parents were also absolute fucking morons. For every story of an actual sex offender being driven from their house by a baying mob there was one like that of Dr Yvette Cloete, a doctor at the Royal Gwent Hospital in Newport, South Wales, who returned home from work to find that a group of 'concerned parents' had daubed the word 'paedo' on her front door in bright red paint.\nDr Cloete was a consultant paediatrician. Easy mistake. If you're an absolute fucking moron.\nAnd so it was that one hung-over morning, after reading yet another story about vigilantes who had threatened to stone Maxine Carr, the girlfriend of Soham killer Ian Huntley, to death during her high-profile trial for perverting the course of justice, I decided to set up a website parodying this collective national madness.\nThe result of two or three hours of hung-over labour was thinkofthechildren.co.uk, a spoof campaign site which claimed to offer a handy online guide for crazy vigilantes of all stripes to co-ordinate their crazy vigilante efforts. Although there are a few parts of the site I'm still a bit proud of, the majority of it was, I freely admit, satire of the lowest order.\n", "labels": "Who had her door vandalized by a group of 'concerned parents'?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-f0f6c7568218493baace238727bfe002"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: I remember back in the late 1970's when I first started investing in property as a young guy, being taken to a house that felt EXTREMELY cold, strange, and rather chilling. Okay it was an older house that need some renovation work, but there was something about the place that just did not seem right.\nBut despite that, it was available for purchase at what seemed to be a very attractive price \u2026 always a good starting point.\nAnyway, the real estate agent finished taking me around the property answering the questions that I had, and I left with a plan to do some costings before making a decision.\nBut something was niggling me and making me feel a little uncomfortable, so I decided to investigate the property further.\nA couple of days later I was around at a friends house. He was in the Police force and as it happened he was in the same neighbourhood, I mentioned this particular property that I was looking at buying. He asked me the actual address after which he \u2018kindly' informed me that that that house had been the scene of a murder 6 months previously.\nIt turned out that the property had been rented to a homosexual couple and that after an argument, one had murdered the other in the bath and then proceeded to cut his head off. Apparently the head was subsequently discovered a week later in the trunk of a car that had been abandoned up by a local golf-course.\nLess than impressed that the real estate agent had been less than forthcoming with me, I made the decision to not to proceed with the purchase.\nAs they say in the property business \u2018Location, Location, Location' is always an important factor in determining the value of a property. However despite that being a good location, it was reputation that deterred me on that occasion.\nSometimes there are situations where even the best makeover will not work.\n", "labels": "Who told him about the murder at the property?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-89fd4b9fa371494cb2d0a56f5a7e3894"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: Luckily I was not the target or victim of this road rage, but I was a first hand witness.\nBack in the mid 1990s when I worked in Southern California, I was returning from lunch one day with a coworker when we noticed two pickup trucks driving erratically. This was on Valley View Blvd in Cerritos which is a large roadway divided (by a large, planted median strip) with 3 lanes on either side.\nOne truck seemed to be chasing the other when suddenly the lead truck made a quick U-turn and was followed by the second truck. But the second truck came to stop just after making the turn. This was when the driver of that truck got out, walked to the front of his vehicle, raised his arm holding a semi-automatic handgun, paused, and then fired a single shot.\nAt this point, I was parallel with the shooter's truck and only about 50\u201360 feet from where he was standing. I remember my coworker exclaiming, \"Oh sh*t! Did he just shoot at the something?!\"\nI floored my accelerator and sped off to my workplace which was about a 1/2 mile down Valley View Blvd. I parked and my coworker and I got into the building as quickly as we could.\nWhile he started telling our other coworkers about what we had just witnessed, I ran to my desk, called 911, and reported the shooting. The dispatcher kept me on the line after my initial report and then transferred me to a detective in order to take down my information.\nAs it turns out, my information and the fact that I called 911 immediately resulted in the arrest of the shooter.\nI was later asked to testify in court which resulted in the shooters conviction.\nI lived in Southern California for 10 years and now I drive a commercial truck several days a week so I have PLENTY of other \"road rage stories\", but this is still the craziest one.\n", "labels": "Who called 911?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-aae1b3365c1b495e866f6580592f7594"}, {"text": "Definition: Write a question from the passage such that it identifies a character (a person or a thing) in the passage.\nInput: WHITE HOUSE \u2014 The United States is escalating trans-Atlantic and North American trade tensions, imposing a 25 percent tariff on steel imports and a 10 percent tariff on aluminum imports from the European Union, Canada and Mexico beginning on Friday.\nThe U.S. also negotiated quotas or volume limits on other countries, such as South Korea, Argentina, Australia and Brazil, instead of tariffs, Commerce Secretary Wilbur Ross also told reporters Thursday by telephone.\nChina's foreign ministry said on Friday all countries should protect the normal trade order, when asked about U.S. decision.\nPresident Donald Trump said Thursday that the days of the U.S. being taken advantage of in trade deals \"are over'\" in a harshly worded statement responding to Canadian Prime Minister Justin Trudeau's criticism of new steel and aluminum tariffs. He intensified his criticism of Canada Friday for what he says are the country's \"highly restrictive\" trade practices.\nTrump has repeatedly said measures such as tariffs are necessary to protect American jobs and industries in key manufacturing sectors.\n\"The president's actions are about protecting American steel, American aluminum,\" a White House spokesman, Raj Shah, said on Fox News. \"They're critical for national security.\"\nBut the negative reaction from some of America's most important strategic allies has been quick and fierce.\nEuropean Union Commissioner Cecilia Malmstrom said shortly after the tariffs took effect they were illegal and the 28-nation bloc would initiate a settlement dispute case with the World Trade Organization.\n\"We can do so. We have the right to do so. I think we must do so, as well, to show that we cannot just take these tariffs and stand silent and we do not accept these kind of imposed illegal tariffs,\" said Malmstrom.\nWithout elaborating, Malmstrom also said the EU would explore \"rebalancing measures,\" which typically are retaliatory actions.\nTrudeau called the tariffs \"totally unacceptable\" and vowed retaliation.\n\"This decision is not only unlawful, but it is a mistake in many respects,\" said French President Emmanuel Macron, warning that \"economic nationalism leads to war.\"\nFrance's finance minister, Bruno Le Maire, who met Ross earlier on Thursday, said the U.S. shouldn't see global trade like the Wild West or the \"gunfight at the O.K. Corral.\"\n", "labels": "Who can be seen with the young and dashing leader of France?", "task_name": "task886_quail_question_generation", "task_category": "question_generation", "id": "task886-8fef12f2a01e492b90dd79bf3bc6eeaf"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: As U.S. political candidates make their final appeals, voters in 35 states will decide policy issues Tuesday that include legalizing recreational use of marijuana and restricting access to guns and ammunition, voting yes or no on nearly 160 state ballot initiatives.\nCalifornia's Proposition 64, which is leading in the polls, could create a multibillion-dollar marijuana industry by legalizing the recreational use the drug for adults in the state. Similar measures are on the ballot in Arizona, Nevada, Maine and Massachusetts.\nMarijuana could be legalized for medical use in Florida and three other states. Medical marijuana is already permitted in half the 50 U.S. states, and recreational use is allowed in Alaska, Colorado, Washington state, Oregon and the District of Columbia.\nMarijuana is banned under federal law, but U.S. officials have taken a hands-off approach on the issue.\nVoters in Maine and Nevada are considering measures that would expand background checks for gun purchases, which is already required for buying guns from dealers, by extending the provision to private sales.\nCalifornians will consider measures requiring background checks for buyers of ammunition and banning high-capacity ammunition magazines.\nWashington state has a measure that would allow the courts to bar the sale of guns to individuals deemed an extreme risk to themselves or others.\nCalifornians are considering whether to eliminate the death penalty with Proposition 62, or to maintain capital punishment and make the process more efficient with Proposition 66, which supporters say makes it more fair to victims of violent crimes.\nTwenty states and the District of Columbia have abolished or overturned capital punishment on the grounds that it is unequally applied to minority populations and that innocent people are sometimes convicted.\nSouth Dakotans will decide whether to make statewide offices nonpartisan and create a citizens commission to redraw voting districts after each 10-year national census, removing the task from legislators, said by critics to be self-interested. Question: Who will be finishing appeals?\n", "labels": "political candidates", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-ea2e029c7d3c4c10b5bb7b3ea750de2f"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: My then-teenage daughter and I went to a new restaurant. It was empty apart from the manager. We were told to find ourselves a table, so we sat in an attractive area sort of like a small stage.\nNo waitress came by for 10 minutes, so we decided to visit the restroom; there was just one, with one toilet. But a woman rushed in ahead of us, carrying a bundle of clothes. Several minutes later, when she reappeared, we realized this was our waitress\u2014arriving late and pushing us customers out of the way so she could change.\nOK\u2026 We each used the restroom and returned to our table.\nBut it was not our table anymore. Along came the manager to explain she needed to set aside the stage-like area for a very special group.\nMy daughter and I had already been debating whether to stay or leave. We stayed only because we were very hungry and worried that we'd have to start waiting all over again if we tried a different place.\nWe were led to our new table: a lonely little table in the hall leading to the toilet.\nI was ready to get out of there, pronto, but my daughter spotted her favorite meal on the menu. But after another 15 minutes, with the lone waitress not appearing, we both shook our heads and got up\u2026 Oh, here's the waitress! We ordered. Fifteen minutes later, no food.\nWe got up again and exited past the stage-like area, which was just as empty as it had been when we were ejected. The very special people had not arrived\u2014so (had we been served) we could have enjoyed our meal right there.\nWe did find food elsewhere. The first place closed in less than a month. Good riddance! Question: who used the restroom?\n", "labels": "The dad and daughter", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-a7f5b26883d6400aa35558e52a857a49"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I sure have Shannon. But, not for very long! My apologies as I need to give a little back story first. Please bear with. I first came to the DC/NOVA area via the US Army. It had a very small town feel. I was amazed no traffic, extremely affordable housing market, friendly, helpful and caring people and trees as far as the eyes could see. It was top 3 places I had lived in this country. After the Tech boom peaked near 2000 and after 9/11 the flood gates opened and people spilled in from all over the Earth for the bountiful opportunities. The housing market skyrocketed and people were tripling++ the values of their homes. It is now home to some of the wealthiest counties in the US. Why is this all relevant? All the prosperity brought greed, selfishness and gluttony to a whole new level. People had massive disposable income they had never had before. Nothing is too grossly indulgent anymore and they throw away vast amounts of money trying to one up the last kids party without giving a thought to what a kid needs or the fact they are teaching kids that over indulgence is okay.\nNow, my son and I were invited to a birthday party for this FIVE year old. The sole Parent had rented the club house, surrounding grounds and pool area of a local country club. I would estimate around 30 kids x 1.5 adults. It was catered with both adult and children's foods and beverages, including Wine and Champagne (few here seem able or willing to parent without it). A company was hired to bring in 6 industrial fair/carnival type rides. A mini Ferris Wheel and a mini Roller Coaster included. She even had hired help that distributed Party Bags/Swag Bags that included cologne/perfume for the kids. I don't think my jaw closed the entire time we were there. This was for a FIVE year old! Could you believe she talks about the daughters poor behavior frequently? My Son asked to leave after around 20 mins, Question: What skyrocketed?\n", "labels": "The housing market", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-b882bc863ab24e4d80ca64a9844baf78"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I am currently waiting for peer reviews of two books I've worked on: one sole-authored, one co-authored. We don't talk much about the experience of waiting for reviews, and it's not something that appears to have been researched. Yet it's something everyone doing academic work has to go through and it may be bad for our mental health.\nI'm finding it particularly difficult at the moment because a lot rides on these reviews. The sole-authored book, which is on a contentious topic, has already had one set of reviews. Reviewer 1 was utterly damning, saying \"I couldn't find anything to praise\". Luckily, Reviewers 2 and 3 were more measured, offering both praise and constructive criticism, and their input helped me to revise and strengthen the typescript. However, in the process, my editor and I realised that we needed further reviews from people with a particular kind of specialist knowledge. My editor approached around ten potential reviewers, but only one agreed to do the job. So I'm gibbering \u2013 what if that person agrees with Reviewer 1?\nThe co-authored book is in a contentious format. My co-authors and I decided that I would be the person to liaise with publishers, as I have form in this process. The last time I liaised with academic publishers for a co-authored book was in the early 2000s, and I'd forgotten how heavily responsible it makes me feel. Fortunately, I've found a publisher that is interested and has sent the book out for reviews, to two professional academics and two students. This is great \u2013 and terrifying \u2013 but at least there are four reviewers. Even so, what if they all think it's rubbish?\nIn many ways I love the peer review system. I welcome feedback on my writing, and I'm not at all averse to constructive criticism. I am by no means arrogant enough to think I can write a good book without input from others. Yet peer review, as a process, is fraught with uncertainty. Comments may not be constructive, or may not come at all. They may be positive, or negative, or in between, or a mixture. Question: Who said \"I couldn't find anything to praise\"?\n", "labels": "Reviewer 1", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-93a875353d2d4110b86c80d17b42cb84"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Few athletes would disagree that more muscle is an advantage in their sport. And protein is the perfect source of amino acid building blocks needed for new muscle growth and repair.\nTaken together, strength training and sufficient protein will stimulate new muscle protein synthesis. Note that the keyword here is sufficient, because this is where protein supplement marketers like to extend to \"the more the better\".\nSo how much protein do sportspeople need? Consensus position statements such as those produced by the American College of Sports Medicine give the range of 1.2 grams to 1.7 grams of protein per kilogram of body weight.\nBut the top end of that range is for elite endurance athletes, power sportspeople and those in the early stages of a strength training phase. The \"recreational athlete\", which describes the majority of active sportspeople, should aim for the bottom end of the range.\nSo how do those protein requirement numbers stack up against a regular diet? Protein intake and body weights collected in the 2011-2012 Australian Health Survey, as an example, show the average Australian male already eats 1.2 grams and the average female 1.1 grams of protein per kilogram body weight. And this is for mostly sedentary people who are not following any special \"high protein\" training diet.\nSportspeople do have higher energy needs. But by simply eating a greater volume of food with a focus on higher protein content, it's very feasible for an athlete to get their protein requirements from food alone.\nThis has been backed up by research; numerous dietary surveys show the normal diet of strength-based athletes provides around two grams of protein per kilogram body weight per day. And that's before using any protein powders.\nBut protein supplements can't be dismissed altogether. There are circumstances where supplementation is an appropriate and convenient option for athletes, such as when travelling, or during an intense training schedule. Question: Who recommends always using protein supplements?\n", "labels": "Protein supplement companies", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-3e6fb50f54164dbdaca8e0007d23d153"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Exciting news everyone, BIOeffect has now officially launched in Australia. The BIOeffect EGF serum is creating a huge storm world wide. It was first launched in Iceland last year (as it is made by the Icelandic company Sif Cosmetics) and within 6 months of the release it is estimated that 1 in 5 Icelandic women over the age of 30 have purchased the serum. When it was released in France, the serum sold out in the first week at the famous concept store in Paris, Colette. Now, we can finally get it here in Australia and I believe that it will be launching in the US shortly.\nThe serum is highly scientific, and based on reviews around the world, it really appears to work. I have been using it for a week now and my angry line down the middle of my forehead is already seeming less angry. I will post a review once I have been using it for a month or so.\nIf you want to purchase the serum, it is available from the BIOeffect Australia website or if you are looking for updates or reviews on the product then you can either like their Facebook page or follow them on Twitter.\nSo, who is now busting to try the serum? Well, to celebrate the launch, the wonderful people behind BIOeffect Australia, Melanie and Kym, have agreed to sponsor a giveaway of some amazing BIOeffect products. First prize will be one full sized bottle of the amazing BIOeffect serum. This bottle alone is worth $180.00!! In addition there will be two runners up prizes of a 3ml travel sized bottle of the serum. These are worth $40.00 each!\nEntering the competition is simple. All you need to do is have a read of my article, The science behind the BIOeffect EGF Serum explained, and make a comment on that article about what excites you the most about the serum. Are you like me and are blown away by the science? Is it the fact that independent clinical trials are proving that the serum works? Or is there something else that has grabbed you? Please tell me. Question: What is it that is highly scientific?\n", "labels": "serum", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-535bd62221924aaab15a0304df36786c"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Earlier this year my depression got very bad, very quickly. I'd been having intrusive suicidal thoughts for a while. It was a combination of a bad medication regimen and lots of little stressors\u2014school, work, a car accident, you name it. I took to a very private social media account that only those I was closest to could see. I used that account to rant about my problems. It was my coping mechanism and how I kept myself sane. Somehow just typing it out got it off my chest in ways writing in a journal couldn't (now, I try to use Quora for this purpose instead).\nOne night in early March I went to a performance that my friends were part of. I went alone. While I was there, I got a series of texts regarding my girlfriend. I knew that what those texts said would cause me an immense amount of stress and sleepless nights. I went onto my social media account.\nI don't remember exactly what I posted. It wasn't specific, but rather something along the lines of \"I'm stressed, this is the cherry on top, I honestly don't know how I'm going to handle this.\"\nWhatever it was, someone who followed that account knew I was at my breaking point. They called an anonymous tip line and reported that they believed I was in danger of killing myself. I got home from the performance at midnight and my dad was in my driveway. I asked him why. He told me he'd been contacted and that someone reported a concern about me.\nI was admitted to the hospital the next day, and I spent a week an an inpatient psychiatric unit where I received better medication, therapy and coaching on positive coping mechanisms. Whoever called saved me, but in a way I saved my own life that day. What I thought was just another routine post about stress got me the help I so desperately needed. I know without it, I would have ended my own life that day. Funny how that works. Question: Who was the person in the narrator's driveway?\n", "labels": "His dad.", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-52cabfad702e43a8bb978ab8e874a53a"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: SEOUL, SOUTH KOREA \u2014 U.S. President Donald Trump's decision to withdraw from the Iran nuclear agreement is not expected to derail diplomatic momentum to reach a deal to end North Korea's nuclear weapons program, but it could complicate the negotiation process, analysts say.\nTrump on Tuesday announced that the United States is ending its participation in the 2015 Joint Comprehensive Plan of Action (JCPOA) that lifted sanctions on Iran in exchange for Tehran limiting its nuclear program, and would re-impose U.S. economic sanctions on Iran. The agreement was negotiated by the administration of Trump's predecessor, President Barack Obama, and involved five other world powers; Great Britain, France, Germany, China and Russia.\nTrump's National Security Adviser John Bolton said the U.S. decision to re-impose sanctions on Iran will set a higher standard for North Korea nuclear talks by sending, \"a very clear signal that the United States will not accept inadequate deals.\"\nThe U.S. policy reversal on Iran should not seriously impede diplomatic progress underway with North Korea, said Victor Cha, a noted Korea scholar with the Center for Strategic and International Studies in Washington.\n\"In terms of how the North Koreans would take it, I don't think they'd take it one way or the other. I don't think they'd see it as negative or positive because they think they're different from anybody else anyway. They think they're a very special case,\" Cha said at a CSIS conference this week.\nWhile the Iran deal limited that country's efforts to develop a nuclear bomb, North Korea already possesses 20 to 60 nuclear warheads, according assessments by the U.S. Central Intelligence Agency and the Defense Intelligence Agency, and between 40 to 100 nuclear development facilities, according a report from the RAND Corporation security research organization.\nBut apprehension over whether future U.S. presidents would uphold a nuclear deal reached by Trump could reinforce the North Korean demand for early concessions.\nJohn Delury, a North Korea analyst with Yonsei University in Seoul, said on Twitter, \"I don't think this is insurmountable but it adds yet another layer of difficulty.\"\nIn some ways Pyongyang may be reassured that a deal reached with the Trump administration would likely be supported by the next administration to follow. Question: Who announced the US is ending participation with JCPOA from 2015?\n", "labels": "Trump", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-0324b6db80804e9fad3a55aa18b51c82"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Yes, after my mother died I found out from my supposed half-sister that my dad was not my birth father. She was 19 yrs older than me and had been living in Colorado since I was young. I was born and raised in N.J. I did not see her she did not come to see us. I was grown, married, had children and was living in FL. when she showed up at my door with her husband. I was shocked since we never heard from her and I did not know she even knew where I lived. She stayed all of about 20 minutes, just long enough to very unpleasantly state that \"my father is NOT your father and I am NOT your sister!\"\nI always wondered why my mom hated me SO much, I found out that both my mom and \"dad\" were having affairs while married and both had children by someone else. I have never met my birth father (to my knowledge) only know his name, but understand that he was the father of my supposed half-brother (which would make him my only whole sibling out of seven siblings.)\nObviously my oldest \"half-brother\", who is 20 yrs older than me, is not actually related to me either.\nI don't have for sure \"proof\" about my other siblings, but they all have strong resemblances to my \"dad\" and each other. Growing up people would comment about how much I looked like my mom but I also was told a lot that you would never know me and my other sisters were sisters, we used to laugh about it as kids because my sisters (all light haired/light skinned) and I (dark haired/deeper skin toned) were very different in appearance but we \"knew\" we were sisters.\nI also found out that my apparently ONLY whole brother, approximately 9 yrs older than me, did not even know his real fathers name even though he knew our \"dad\" was not his birth father. Question: Who wondered why her mom hated her?\n", "labels": "The narrator", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-6ae8f7fe02b1483f83bffab6d99bbd40"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: For active people, regular training is as important part of maintaining and increasing fitness. About the only real downside to regular exercise is the transient toll it takes on the body after a hard training session. The pain and soreness after training needs sufficient time to recover from before another hard session can be performed.\nA very plausible theory pushed for many years is that the post-exercise oxidative stress in the body is the primary cause of the muscle damage and fatigue experienced. If you could reduce this oxidative stress, then it would allow quicker recovery, and then more time spent training. What this theory ignores though is that oxidative damage is a natural part of how the body adapts to stressful exercise, allowing the body to repair and grow stronger to allow higher levels of performance in the future.\nA small scale study has previously found that trained and untrained individuals who dose up on antioxidant supplements impair important exercise training adaptations such as improved insulin sensitivity and production of oxidative stress defence proteins. Now researchers have extended this study by looking at the effect of antioxidants in trained female runners, and published their findings in the European Journal of Sports Science.\nTwenty-three well trained female runners took part in three separate 3-week training blocks where they took either 1 gram of vitamin C, blackcurrant juice, or a placebo drink for each of the training blocks. Each of the dietary interventions involved drinking a similar volume of fruit drink of a total of half a litre per day split over the morning and evening.\nThe training performance of each runner was carefully measured at the beginning and end of each 3-week treatment period. The runners stuck to a set training schedule which allowed a more accurate assessment of any changes in performance over the training period. Question: Who had different drinks for a training study?\n", "labels": "female athletes", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-0f130acb01bd48edafad95cadbdd969d"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Jenny and I were twins, and we were always close growing up despite our very different personalities. Besides a birthday and a couple dead parents, there wasn't much else we shared in common. She was an over-achiever and a bit of a kiss-ass, always trying to make mom and dad proud, which she seemed to pull off with ease. She was the girl in high school who played every sport, joined every club, ran the student council, and somehow still managed to pull A's without breaking a sweat. Intense doesn't even begin to describe her. I could never compete with that, so instead I decided to build an identity for myself as the rebel. Unfortunately, I somehow equated rebelling with turning into a giant asshole.\nWe grew up in a middle-class suburban family. Our father was a teacher and our mother an architect. They were the kind of couple that kept a date night to go dancing every Friday for the 31 years they were married. They died when Jenny and I were twenty-two. We sold the house where we grew up and split the cash; neither of us wanted to set foot in it again.\nJenny used the money to pay for her Master's. After school she went to work for James McPherson, one of the most powerful and richest men in the city. Aside from owning the St. Augustine, McPherson had interests in real estate, land development, venture capital, and other things I really should've known more about. The McPherson family was old money here going back to when this valley was nothing but orchards. If I said that at one time or another the McPherson family had owned every single square foot of land in our city, I'd probably be exaggerating - but not much.\nJenny ran the McPhersons' charitable foundation, which basically meant that not only did they have so much money that they had to start giving it away, but they even had to hire someone else just to get rid of it for them. Question: Who went to work for James McPherson\n", "labels": "Jenny", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-6b36b8c4c90f4163a22fff4acdfc3d05"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Macy peeked in, expecting to see Mallie Mae in her favorite chair. Instead, she was standing at a front window, staring at the sky. The matriarch spent most of her time in her bedroom these days. She had everything she needed right there. The room was spacious and beautifully furnished. And Macy was ready to jump at her command.\n\"Did you finish your lunch, Mallie Mae?\"\nThe 75-year-old Mallie Mae Mobley loved Macy like the daughter she never had.\n\"Yes, I'm finished. But tell Hadley the ham was dry.\"\n\"You know that will hurt his feelings.\"\n\"I don't care. I won't eat dry ham. I've told him over and over, but he keeps sending me dry ham.\"\n\"Yes, Ma'am. I'll tell him.\nMacy walked over to pick up the tray.\n\"What do you think about Lilman's fianc\u00e9?\n\"She a nice young lady, I suppose.\"\n\"Macy--tell me what you really think.\"\nMacy studied Mallie Mae's face to make sure she really wanted to hear her opinion. \"I'm not crazy about her.\"\n\"I think she's awful--a crude money-hungry tramp.\"\nMacy tried not to smile.\nMallie Mae went on. \"If there was any way I could stop this wedding without alienated my son, I would do it in a heartbeat.\"\n\"Just tell him how you feel.\"\n\"No, no, no. Then he'll be determined to marry her--and he'll be mad at me. I wanted him to be a surgeon, you know. I had planned it since he was a little boy. He could have been a world-class surgeon.\"\nMacy had heard this story nearly every day since she took the job as a personal aide fifteen years earlier, after Mallie Mae had taken a fall and broken her leg. Question: Who is getting married?\n", "labels": "Lilman.", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-1392a3df74134aee82ef6a46f8a74fb1"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: The leading U.S. presidential hopefuls reacted strongly Monday to the massacre at a gay nightclub in Orlando, Florida.\nSunday's incident that left 49 people dead and 53 others wounded was the worst mass shooting in U.S. history. The gunman, Omar Mateen, was a U.S. citizen and the son of Afghan parents.\nIn her first speech since the shooting, presumptive Democratic presidential nominee Hillary Clinton told supporters in Cleveland, \"The Orlando terrorist may be dead, but the virus that poisoned his mind remains very much alive.\"\nClinton laid out a multi-faceted approach to combating terrorism. The plan would disrupt terrorist groups by infiltrating their online networks, enhancing intelligence sharing among local and federal law enforcement agencies, and asking allied nations to help \"prevent the radicalization and recruitment\" of potential terrorists in the U.S. and Europe.\nIn an apparent response to presumptive Republican Party opponent Donald Trump's charge that President Barack Obama and other Democrats refuse to use the word \"radical\" to describe terrorists who happen to be Muslim, Clinton said earlier on CNN that she is not afraid to use the term, but says she refuses \"to demonize and demagogue and declare war on an entire religion.\"\nDoing so, she said, \"plays right into the ISIS' hands.\" ISIS is an acronym for Islamic State, which is also known as IS, ISIL and Daesh.\nClinton called for citizens to reach out to Muslims in the United States \"to help us defeat this threat.\" She cited the need for \"common sense reform\" of gun ownership laws, including a ban on assault weapons.\nAfter Obama did not use the term \"radical\" in his remarks Sunday from the White House, Trump criticized Obama's approach to extremism and said the president \"should step down.\"\nTrump, meanwhile, renewed a call for a ban on the entry of Muslim immigrants into the United States.\n\"The only reason the killer was in America in the first place was we allowed his family to come here,\" Trump said in a speech to supporters in Manchester, New Hampshire. Trump said he would lift the ban when the government develops the ability to screen people \"perfectly.\" Question: Who said she would not declare war on an entire religion?\n", "labels": "Hillary Clinton", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-e7fdd2bef9344584acaeee87cbff30d7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: The White House said Monday that President Donald Trump \"doesn't believe any of these accusations\" made by adult film actress Stormy Daniels that she had a one-night affair with the future U.S. leader in 2006 and five years later was threatened to keep quiet about their alleged liaison.\nTrump spokesman Raj Shah rejected any suggestion that Trump had engaged in wrongdoing because his personal attorney, Michael Cohen, paid the porn star $130,000 from his own funds in hush money shortly before the 2016 presidential election.\n\"False charges are settled out of court all the time,\" said Shah, who faced a barrage of questions from reporters after a lengthy Daniels interview aired Sunday night on 60 Minutes, a CBS News show that drew its biggest ratings in a decade for the spectacle.\n\"He's consistently denied these accusations,\" Shah said of Trump. The spokesman said the 39-year-old Daniels, whose real name is Stephanie Clifford, was \"inconsistent\" because she has at various times denied she had a sexual encounter with Trump, but now claims she is telling the truth that she met up with him at a celebrity golf tournament in Nevada.\nShah also dismissed Daniels' claim that in 2011, when she was on her way to a fitness class in Las Vegas with her infant daughter, she was approached by a stranger who threatened her.\n\"A guy walked up on me and said to me, 'Leave Trump alone. Forget the story,' \" Daniels told journalist Anderson Cooper. \"And then he leaned around and looked at my daughter and said, 'That's a beautiful little girl. It'd be a shame if something happened to her mom.' And then he was gone.\"\nTrump has yet to comment directly on Daniels' story. However, he posted a Twitter comment Monday that seemed to allude to the controversy.\nDaniels says the Las Vegas incident occurred shortly after she first tried to sell her story about her encounter with Trump to a tabloid magazine. She said the incident made her fearful for years and that she thought she was doing the right thing when she accepted $130,000 from Trump attorney Cohen to stay quiet. Question: Who consistently denied the accusations?\n", "labels": "Donald Trump", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-6cbb206d98ef497aba9102cd98da4ff8"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: SINGAPORE \u2014 What now? That is the question from the White House in Washington to the Blue House in Seoul \u2014 and perhaps also inside the Ryongsong Residence in Pyongyang.\nFollowing the historic handshake here between a U.S. president and a North Korean leader, who inked their names to a document with vague but compelling promises, the question emanating from Sentosa's Capella Hotel was what will actually change on the Korean peninsula?\nMoments after the summit between Donald Trump and North Korea's Kim Jong Un concluded, VOA contributor Greta Van Susteren and I spent a few minutes with the U.S. president and his secretary of state, at the Capella.\nTrump was elated and within the hour would make a surprising announcement suspending \"provocative\" joint U.S.-South Korean drills on the Korean peninsula.\n\"We had a great chemistry,\" the president, speaking to Van Susteren, said of himself and Kim. \"We will do business.\"\nSecretary of State Mike Pompeo told us, \"it's a great day.\"\nThe president has essentially handed off to Pompeo the hard work of turning a sparse declaration on denuclearization into something truly transformative. Many will question whether Pompeo, who a decade ago was running an oilfield equipment company, is truly the man for the task.\nIn Pompeo's background, however, are indications of his capabilities: First in his class at the U.S. Military Academy, time served on the House of Representative's intelligence committee, a brief stint as director of the Central Intelligence Agency and two meetings with Kim in Pyongyang. Perhaps he is now as astute as any American official on piecing together the Pyongyang puzzle.\nThis correspondent \u2014 an observer of the Korean peninsula over five decades, resident in Seoul for several years and once given the opportunity to frankly converse for a week (in 2013) in the North with KPA officers \u2014 has gleaned some insight into the world's most reclusive state.\nRarely can any collection of a few hundred words adequately encapsulate the geo-political conundrum. It is difficult for an outsider to fathom the deep emotional yearning of Koreans on both sides of the 38th parallel for reunification despite the vast ideological divide. Question: Who inked their names to a document with vague but compelling promises?\n", "labels": "Trump and Kim Jong Un", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-9d219544ae534fc3b5dce7b188197bb6"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: In the shadow of the Seattle Space Needle, almost alien crystalline forms wrap their deft tendrils through the Chihuly Garden and Glass.\nEvery single petal, bowl, stem and branch of cascading glass has been handblown under the guidance of Washington State native Dale Chihuly (in fact he grew up in nearby Tacoma), and we couldn't quite believe our eyes.\nHaving discovered this exhibit through the magic of Jaime's instagram (she's a self-named Angloyankophile who grew up in Seattle before moving to London) I knew we would have to visit.\nMy photos don't do the undulating forms any kind of justice; but they might just convey the incredible scale of the exhibition.\nI'd always been curious to learn more about Chihuly, after being introduced to his incredible sculpture suspended over the V&A Museum information desk, a glowing confection of green and white glass whisps.\nIn 1968, after receiving a Fulbright Fellowship, he went to work at the Venini glass factory in Venice, observing the team approach to blowing glass, which is critical to the way he works today. In 1971, Chihuly cofounded Pilchuck Glass School in Washington State. With this international glass center, Chihuly has led the avant-garde in the development of glass as a fine art.\nHis work is included in more than 200 museum collections worldwide. He has been the recipient of many awards, including twelve honorary doctorates and two fellowships from the National Endowment for the Arts. He has also lost an eye to his passion, and now mostly directs the sculpture design and assembly.\nIt was truly amazing.\nIn 1999, Chihuly started an ambitious exhibition, Chihuly in the Light of Jerusalem; where more than 1 million visitors attended the Tower of David Museum to view his installations. In 2001, the Victoria and Albert Museum in London curated the exhibition Chihuly at the V&A. Chihuly's lifelong fascination for glasshouses has grown into a series of exhibitions within botanical settings. Question: Who did the writer learn about Chihuly from\n", "labels": "Jaime and her Instagram post", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-0c73f80babce4b86ae0c5060d93ba773"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: We live our lives online, so naturally, online dating is becoming our primary source of meeting others. I have been on most dating sites and some are good, some not so much. Tinder remains on the top five dating sites out there, so I'm sharing my personal experience.\nTHE TRUTH ABOUT TINDER\nDid you like me on Tinder? If you are a man in my geographical area, odds are you did. The first week I joined I received over 400 likes and nothing speaks desperation like that, does it? If I want to hook up and leave, there's no better place to go.\nIf you're going to Tinder looking for a real connection, then sorry \u2014 you've lost your damn mind. Tinder was created with the hit and quit it hookup in mind and trust me no matter what he puts in his profile, that's what he's looking for. Crap, that's what I was looking for let's be honest. Here are some universal truths about Tinder and most online dating sites.\nIf the picture looks too good to be true, it probably is.\nPeople lie.\nA large majority are going to be married pretending to be single.\nThey have a handful of others on the hook while they're talking to you.\nThe usual way it goes on Tinder is you like someone's picture and if they like you back, you're a match. Then you can message each other and often you will get one or two messages and that's it unless you come out strong on the sexting and I guarantee you get your man. Tinder is oozing with low attention spans. I can pretty much guarantee he is going to ask for pictures, and not of your face. Question: Who has a handful of others on the hook?\n", "labels": "married people", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-d0acfc2dc9a44bc7be8a53b30aec22c6"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I repeatedly see people asking advice on forums as to which is the best detox to do. Whenever I see this question I want to scream at the person 'no, don't do it. It is a waste of your time and money'...but I don't. I don't want to cause a scene, or start a barrage of backlash from people claiming that it worked for them. Instead, I will present the facts and let you decide for yourself if it is worth doing.\nBefore I start, I just want to clarify that when I am referring to detox I mean the ones that you buy where you have to take a million various tablets a day and stick to a very restricted diet. If you are going to 'detox' by simply eating healthily then all power to you. That will most definitely do wonders for your body. These detox kits won't. They will produce results; however, the results will be temporary.\nWhy detoxes don't work\nFirstly, the companies who are marketing the detoxes talk about removing toxins that have built up in the body. So, what are these toxins? They don't say. They remain vague and just leave you to let your imagination run wild. Do they mean chemicals, waste products from digestion, bacteria? I guess I imagined it as the waste products from digestion but it would be interesting to hear what other people perceive as the 'toxins' in their bodies.\nI read an interesting article on British Beauty Blogger about how Veet gave Chinese women a problem they never had. Chinese women naturally have very little body hair so hair removal products have always been poor sellers. Therefore, Reckitt Benckiser (who own Veet) devised  a marketing campaign to convince Chinese that any body hair is unsightly and released ads equating hair free skin with health, confidence and \"shining glory\" (the full marketing concept can be read here). I feel that this is the same as what is happening in regards to detoxes. The marketers of the products have convinced us that our bodies are full of these so called 'toxins', from our unhealthy lifestyles, that need to be removed with a detox. Question: Who was the company that gave Chinese women a problem they had never had?\n", "labels": "Veet", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-1f6534af6563433e8c43b80adc48720f"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I was fencing wire at Flat Broke Acres and trying to tighten up the wire a bit. I lost the grip of the fencing wire and the pliers smacked me in the mouth.\nThis is what I hit myself in the mouth with. The curved end glance off my left front central incisor.\nIt hurt some, my lips were lacerated, I scared my wife when I came in to take a look at it in the mirror but the pain to come was far worse. Tooth was intact thank goodness and was a bit wobbly and I said to myself yup, this could be a problem. A month or two later I hit it again when I was putting a portable step fence panel in the bed of the truck and it bounced and split the bridge of my nose and hit the tooth again. did not break or get displaced. Thank goodness I have a particularly thick head.\nTooth trauma is a strange thing. It can blow up anywhere up to a year later. So almost 6 months later I was flying to a meeting in Orlando and of course the tooth decided to react to changes in atmospheric pressure just so I could experience the exquisite pain of barodontalgia. Kind of pain that makes you want to pry the top of your head off with a pitchfork because it would take your mind off the pain.\nProblem was it did not resolve after landing or anytime during the 4 days I was at the meeting. A combo regimen of acetaminophen and ibuprofen manage the pain well enough until I could get home and have it seen to. Pain did not end but the Xray showed no fracture or endodontic lesion. Strange. Then as suddenly as it occurred, the pain ceased. Strange x 2. Snapped another film and there was no pathology. Tooth was vital on pulp testing. So I did nothing more.\nI chalked it up to it being a karmic reminder about patients and dental pain as I've never had a cavity let alone a dental abscess. It let me feel your pain. Question: Who hit themselves in the mouth?\n", "labels": "narrator", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-b76a92e5604b4c4d84bc61cb32f286fb"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: As a day trip from Brussels (only a half hour train),  I've found that either many people haven't heard of Ghent, preferring to explore the chocolate box streets of Bruges, or they adore Ghent so much that when a blogger (me) visits, they spam them via instastories with recollections of days spent there and memories made. True story.\nDisclaimer: I was a press guest of VisitFlanders in Ghent, but all planning, mischief and thoughts are all mine.\nWe fell into the former camp on our trip to Brussels and explored Bruges, but genuinely regretted only being able to fit one city in, vowing to return one day.\nLuckily an invite to explore Ghent appeared in my email inbox, so I gleefully accepted, hopping on the Eurostar one sleepy morning, and spending a long weeked gambolling through the streets (under blues skies and then grey clouds.)\nAs guests of the tourism board, we were given city passes which allowed us to hop on the local transport (trams & busses), pop in and out of the museums and climb aboard a canal cruise, exploring the city by water.\nGALAVANT THROUGH THE GRAVESTEEN\nWe didn't galavant so much as gallop up through the castle, so intent we were on completing a challenge to the top, but strolled back down through exhibitions. The exhibits share the history of The quintessential 12th-century stone castle, which comes complete with moat, turrets and arrow slits.\nAnd the view from atop the towers? Well, it's ok I guess.\nHOP ONTO A CANAL CRUISE\nSit back, relax, and let the world glide by. The 40-minute tour included in the city card takes in the city by canal, led by a knowedgable driver/guide and is a lovely way to get to know the city a little bit better. There are also other operators, a couple of whom offer picnics as you float through the medieval city. Question: Who can help you get to know the city of Ghent better with some offering picnics as you float through the city?\n", "labels": "a knowledgeable driver or guide", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-ece559e137494e5ba8ec05e1b1a553e7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: My mother's shopping lists were ordered by rules known only to her. As you slid your finger down the columns of groceries and toiletries, you would invariably be stopped by something along the lines of \"2dozjumHerbal Essences\" or \"1pepperoni TC,\" with the \"TC\" underlined twice and flanked by gnarled masses of pencil scratch-outs. When we were kids, we dreaded accompanying her to Wal-Mart, or worse, the Cosco at the edge of town, where the echoing rafters and limitless aisles seemed to mock the confusion into which we were inevitably thrown when handed torn-off fragments of the list. Of course, it was easy enough to see in hindsight that \"2dozjumHerbal Essences\" was merely the bastard child of two drunkenly weaving columns--we had been supposed to get two dozen jumbo eggs and a bottle of my mother's favourite brand of shampoo (ever inventive in creating proprietary abbreviations--\"TC\" standing for, what else, thin crust pizza--my mother scrupulously wrote out brand names in full).\nIt was a little like ordering chemicals for a laboratory, sans any knowledge of chemistry--or, for that matter, laboratories, although my ignorance of the distinction between baking soda and baking powder cannot be entirely the root of my confusion. Eventually I--and my siblings--learned the difference between tomato paste and tomato sauce, and could readily distinguish one brand of laundry detergent from a similarly-styled knock-off, but my shame-faced trips back to the mothercart never ceased. I would track her down, most often in the produce section--she was usually loath to trust us with the delicate task of selecting the very best fruits and vegetables--and hand her back my portion of the list, asking for an explanation. Usually it amounted to a failure of awareness on my part--get the kind of soap we always get, of course! Question: Who knew the rules to mothers's shopping list?\n", "labels": "Mother", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-1ea7443e801f4e419573811716f68ea8"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I once went out to have fun with a friend of a different nationality, and she wanted to go to a place that featured the music of her culture. Since I have always been interested in other cultures, I was happy to go along. While we were sitting at a table together, an older man came up and asked to buy me a drink. I told him \"no thank you, I do not drink\". My arm was laying on top of the booth because I was sitting sideways since my big old pregnant belly would not fit under the table. He reached over and took my hand and said \" Come dance with me then\". I again told him I was not interested in dancing. He began to squeeze my hand and insisting I get up and dance with him. I kept telling him no, and pointing to my belly and saying I would not be dancing with anyone. He just kept squeezing my hand harder and trying to pull me out of the booth. I got angry when I felt something break in my hand and screamed at him \"Get your effing hands off me!\" The bar owner came over to see what the problem was. I explained that \"this jerk just hurt my hand because I would not drink or dance with him!\" The owner looked at me crying, and the man laughing, and kicked my friend and I out of the place! Seems the rude SOB was his best friend. I got a bad taste for places of that culture (although I do love the cuisine) and a broken bone in my left hand for my trouble. She and I never went out again because she was so embarrassed about what the guy did to me, but she did take me to the ER on the way home. Question: Who wanted to hear \"the music of her culture?\"\n", "labels": "The friend did!", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-390e240d727e420c8714256df157b0ad"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Some fortunate people can go on a diet, lose the excess fat and then simply get on with their lives. Others get stuck in the eternal cycle of wanting to be thin, dieting, craving, bingeing, regaining the weight and then wanting to be thin again. You want to break free from this exhausting and depressing merry-go-round of losing and regaining weight but you're not ready to give up doing what you know best. Let's examine the diet cycle mentality.\nTHERE IS A MAGIC CURE\nThe reason you haven't lost weight and kept it off is because you haven't found the right diet that suits you particular physical and emotional needs. You need to eat more carbs, or more fat, you need to cycle your calories or have cleaner re-feeds, and you need a coach for accountability. Once you figure out precisely what the optimum formula is for you and you have an expert to help you then you will lose weight and keep it off.\nONE LAST DIET\nOnce you lose the weight, then you will learn how to get in tune with your body's hunger signals and eat mindfully. You just need to commit totally to this last diet, get to your goal and then you will stop for good.\nYOU LOVE HEALTH AND FITNESS\nYou really enjoy being in control of your food and planning your training regime. Time spent scouring the latest fitness magazines and entering your weight into a spreadsheet is fun and rewarding. You spend most of your waking hours plotting and planning how you are going to burn that fat!\nI WANT TO BREAK FREE!!\nThe only way to break free from the diet cycle is to come to the place where you no longer believe the stories you tell yourself. If there was a magic cure that worked for you, you or someone else would have found it by now. Count the number of diet books on your bookshelf, the e-books on your computer and the magazines on the coffee table.  Have any of them given you permanent weight loss? Question: Who does the author believe can benefit from the right diet?\n", "labels": "Everyone", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-402bf387ea3242aab7f2a00055fb609a"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Trisha dreamed of being a Playboy Bunny since the days she still had buck-teeth and fried egg boobs. She blu-tacked page threes above her bed-head and had me snap topless Polaroids till they littered the floor. She told me to imagine she had 36DDs and peroxide blonde hair. I used to wish like hell that she wasn't my cousin. When she was fifteen Trisha started putting out for the boys in the Kwik-Save car park for a tenner a time. She said she was an entrepreneur, not a prostitute. She started going steady with a kid called Keith. He was a fryer in the fish and chip shop. He had a future and a Ford Cortina. She got a job waitressing and she worked all the hours she could. Keith couldn't handle me and Trisha being as close as we were. Especially the time he caught Trisha bending over me in nothing but a frilly market stall thong while I worked the angles best I could to get a dangle-shot. Next night he took her in the car park woods and doped her up to the eyeballs. He took out a bottle of India ink and told her he would etch the love-heart she'd always wanted. Instead, he safety-pinned the word 'inbred' into her arse. Trisha's step-dad tracked the spits of blood and found her sobbing in the bathroom of their long-stay static. It didn't take him long to slap out the truth. He went straight round to Keith's place with a crow-bar and did enough damage to make sure he'd need more than laser treatment to put things right. Keith wasn't rolling in spare change so Trisha's step-dad took the Cortina as payment in lieu of her getting herself fixed up. Trisha got me to stash the Cortina up the lane at the back of Boyes' farm. Weekend nights, I drove her out to the dual carriageway truck-stop where she found a faster way to make her fortune in the fogged-up cabs. Question: Who slapped the truth out of Trisha?\n", "labels": "Trisha's step-dad", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-b51dc33416b3463abace071188ac89de"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: David Gauntlett makes a good point in his newest book (Making Media Studies: The Creativity Turn in Media and Communications Studies) and that is that traditional forms of media studies are no longer applicable. Gone are the days of massive institutions and production companies, gone are the traditional audiences and simplistic texts. In, is the new age media companies, the everyday media makers, the consistent consumers and the fantastical mess of The WWW.\nWhile universities are pumping out the same content areas since the 1980's (e.g. institutions, production, audiences and texts) that are only relevant to a handful of media forms (cinema, television, online broadcasting and publications), the rest of the world is moving on. David Gauntlett so rightly says that creativity in media, should also refer to thinking creatively about the subject. What are the new ways of running media and communication studies? How has the subject itself changed? What approaches and methods can help media and communications studies to become innovative and useful in spheres beyond itself?\nDavid Gauntlett encourages a kind of call to arms, an acquiescence of the incapacities of the old system and a redirected gaze to the future needs of media students and media studies programs. Inspired by Tim Ingold's book Making, David believes media studies should have making at it's front and centre. He also believes the ability to do things with media should be embraced over and above the ability to talk about what others do with media, or what media does to us. The notion is that media studies should be hands on, that it should be all about ideas and critical engagement and this should be expressed through actual making.\nTo borrow three key distinctions from the anthropologist Tim Ingold:\n1. It's about learning WITH media rather than ABOUT media.\n2. There is an intent to move FORWARD rather than looking BACKWARDS at how things are.\n3. It's aims are TRANSFORMATIONAL rather than DOCUMENTARY. Question: Who has been pumping out the same content areas since the 1980's?\n", "labels": "Universities", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-eff40490c8cc49d7b0edc72d4f4b7ff5"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: U.S. President Donald Trump attempted to reset his relationship with Africa on Monday, as he hosted Nigerian President Muhammadu Buhari.\nBuhari is the first sub-Saharan African leader to have a White House summit with Trump, who has been criticized for reportedly making derogatory comments about Africa.\nDuring his public remarks with Buhari, Trump focused mostly on common goals and shared interests, such as fighting terrorism and expanding trade.\n\"We love helicopters \u2014 he loves them more than I do,\" joked Trump, referring to his administration's decision to approve a $600 million military sales deal to Nigeria.\nBuhari thanked Trump for approving the deal, which the administration of former President Barack Obama had suspended over allegations of human rights abuses.\n\"I worked it out so that now you can buy the helicopters that you want,\" Trump said, adding, \"We make the best military equipment in the world, and our friends can now buy it.\"\nHuman rights groups have accused the Nigerian military of torture, rape and extrajudicial killing in its almost decade-long campaign against the Boko Haram extremist group.\nTens of thousands of people have been killed in the insurgency, and hundreds of schoolgirls kidnapped, as the group gained notoriety and spread to neighboring countries, posing one of the most severe threats to West Africa's Sahel region in recent years.\nAlthough Nigeria has been a major partner in the U.S. fight against Islamist extremists in Africa, relations have faced challenges over the past year.\nIn January, Nigeria joined a list of outraged African countries demanding an explanation from the U.S. ambassador after Trump's reported vulgar comments referring to African countries.\nAsked whether those comments came up during his private meeting with Trump, Buhari declined to comment.\n\n\"I'm very careful with what the press says about other than myself. I'm not sure about, you know, the validity or whether that allegation was true or not. So, the best thing for me is to keep quiet,\" Buhari said. Question: Who is the Nigerian president?\n", "labels": "Muhammadu Buhari", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-d4fb9af0a6644c668edf25f518ef9998"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: April 2-May 2 is the worst 30 day period for me. The reason is\u2026\nApril 2, 2014 was the day my 53 year old wife found out that she had metastasized lung cancer. A large tumor had formed on the bottom of one lung, they found 4 tumors in her brain, another large one in her stomach and several more throughout her intestinal track.\nShe rarely complained about physical problems and I knew something was wrong when she said she needed to go to the hospital ER.\nShe died exactly 30 days later. I spent virtually every minute of that time with her. I went with her to radiation appointments. I stayed in the hospital with her because it seemed like every week I would have to take her in for something that required a 3 or 4 day stay.\nAnd the final trip to the ER was May 1st. An MRI showed that one of the tumors in her intestines had torn a hole in her bowel. The ER surgeon told us straight up that she was beyond any medical care that could help her and to use the next 24 hours to say goodbye to family and friends.\nAnd almost exactly 24 hours later, she was gone. I was devastated. 30.5 years of Happily Ever After turned into god fucking damn it all to hell!\nAnd when April 2 rolls around every year, I begin living those last 30 days of her life over again. I thought that after the third time in 2017 that I was about ready to let it go. I started really living again instead of just existing. But when April 2 came this year, I found that I was back in my memories.\nIt was easier to deal with this time because of the way I had changed over the last year. I hung around with more friends and they helped distract me and one actually helped me turn May 2 into a celebration. And I love her for that.\nThat's my story. Question: Who died?\n", "labels": "The wife", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-aaf89aa834484683adf868e1658e8146"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Job offer many years ago. I had two, one for staff accountant and the other was as accounting manager for a holistic health clinic. The clinic job paid about 40% more and came with a \"manager\" title. I believed in myself and all that, but who offers someone just out of school with only 2 years of internship and no specialty in field manager level? That kept bugging me. Something just wasn't right.\nActing on instinct, I took the other job. Good thing! A few months later, I read that the owner of the clinic (an MD) and his two partners (his wife and the CFO) had all been indicted for numerous counts of fraud. They were cheating the state, they were cheating the church they were affiliated with, they were cheating Medicare and private insurance companies.\nThe IRS was after them \u2014 it was supposed to be not-for-profit but it turns out they were living large. Not only that, but they hadn't been sending in w/h tax for non-church member paid employees. Then there was the allegation that they were abusing mentally handicapped workers who were related to church members. The church itself tried to distance themselves, but three elders were also on the clinic's Board of Directors.\nIt was nasty and the entire management team ended up with at least some jail time. There was no way anyone who had any access to the records (medical or financial) could have claimed innocence. My job would have included filing false budget and financial statements with the Board, IRS and other agencies. I would have also probably known that they were withholding but not remitting tax from employee checks. Fact is, the poor kid who took the job got 2 years, so I found out. Those in on the medical fraud got even worse and the three principals all got 2-digit sentences. Question: Who only received two years of jail time?\n", "labels": "The person who took the clinic job.", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-1a7ab87fdd644075b6a11f0b423b6796"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: The drive up to Rick's place in the hills always made me sick. Just after he bought the house with his ill gotten gains from his band's over-hyped, over-marketed, and over-bought sophomore Disc, he drove me out to see it in his beautiful but nauseating '70 Datsun 240 Z. All the smog combined with the pinball effects of winding up the hill at teeth-numbing speeds had me puking for an hour after we got there.\nI took the last turn at the top of the hill and watched the rising sun crest over the black blocks of the city, her angel wings soiled and cheapened with the soot of 12 million get-away drivers. Rick's house came into view out of the fog, its large glass panes sparkling like the last clean surface of an oversized ashtray.\nI parked between a blue hatchback and Rick's favorite toy: a 350 horsepower Impreza he had smuggled here from Japan. All his more expensive rides were in the garage, collecting dust and gaining vintage resale value.\nI rang the bell. I waited and watched a couple of squirrels fight over a small treasure in the bushes. The door opened.\n\"Dingo.\"\n\"Hey, Luna.\"\nHer job as Rick's assistant was to take care of his place while he was out being a rock star. She made sure all his bills were paid, his animals were fed, and that the subsequent fallout from any parties she might have in his absence didn't leave any lasting damage.\nShe was pretty by most standards, gorgeous by others. Short with a tight schoolgirl body and raven hair that teased her avian shoulders. But by whatever standard, her beauty was like a rare and exotic bird she kept caged behind the bars of her perfect teeth. As soon as she opened her mouth it flew away. Question: Who was gorgeous by some standards?\n", "labels": "Luna", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-339f0feed03647ccbbb538c2cb41e65e"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: \"They've got cameras everywhere, man. Not just in supermarkets and departments stores, they're also on your cell phones and your computers at home. And they never turn off. You think they do, but they don't. \"They're always on, always watching you, sending them a continuous feed of your every move over satellite broadband connection. \"They watch you fuck, they watch you shit, they watch when you pick your nose at the stop light or when you chew out the clerk at 7-11 over nothing or when you walk past the lady collecting for the women's shelter and you don't put anything in her jar. \"They're even watching us right now,\" the hobo added and extended a grimy, gnarled digit to the small black orbs mounted at either end of the train car. There were some days when I loved taking public transportation, and other days when I didn't. On a good day, I liked to sit back and watch the show, study the rest of the passengers, read into their little ticks and mannerisms and body language, and try to guess at their back stories, giving them names and identities in my head. It was fun in a voyeuristic kind of way. And luckily, today was a good day. I watched the old Vietnamese woman with the cluster of plastic shopping bags gripped tightly in her hand like a cloud of tiny white bubbles. My eyes traced the deep lines grooving her face, and I wondered about the life that led her to this place. I watched the lonely businessman staring longingly across the aisle at the beautiful Mexican girl in the tight jeans standing with her back to him. He fidgeted with the gold band on his finger, and I couldn't tell if he was using it to remind himself of his commitment or if he was debating whether he should slyly slip it off and talk to her. Question: Who fidgeted with his wedding ring?\n", "labels": "the businessman", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-d06bafd44bd640f79a9e2996202688d3"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: WASHINGTON \u2014 Democratic presidential front-runner Hillary Clinton called Republican rival Donald Trump dangerous and unqualified for the presidency in a blistering foreign policy speech Thursday in San Diego, California.\n\"He is temperamentally unfit to hold an office that requires knowledge, stability and immense responsibility,\" Clinton said. \"This is not someone who should ever have the nuclear codes.\"\nTrump \"doesn't understand America, or the world,\" she said. \"It's not hard to imagine Donald Trump leading us into a war just because somebody got under his very thin skin.\"\nIn anticipation of the address, Trump attacked his Democratic opponent on Twitter. \"Crooked Hillary Clinton, who I would love to call Lyin' Hillary, is getting ready to totally misrepresent my foreign policy positions,\" he tweeted.\nClinton emphasized her own experience as first lady, senator and secretary of state, saying she would provide the steady diplomacy the country needs.\n\"National security is the foundation of how we make sure our interests are pursued in the world,\" said Louis Goodman, Emeritus Dean of International Relations at American University in an interview with VOA.\nWith polls show terrorism is a major concern among Americans, Clinton targeted Trump's positions on the issue.\nTrump, the presumptive Republican presidential nominee, has promised to temporarily block Muslims from crossing U.S. borders.\n\"The struggle against radical Islam also takes place in our homeland. There are scores of recent migrants inside our borders charged with terrorism. For every case known to the public, there are dozens more. We must stop importing extremism through senseless immigration policies,\" Trump said in a foreign policy speech in April.\nTrump's other anti-terrorism proposals include a pledge to torture and murder the families of suspected terrorists and target Islamic State.\n\"I have a simple message for them,\" Trump said. \"Their days are numbered. I won't tell them where and I won't tell them how. But they will be gone. And soon.\"\nBut Clinton said Trump's presidency would have the opposite effect.\n\"A Trump presidency would embolden ISIS,\" she said referring to the group also known as Islamic State.\nThe two presidential candidates have presented very different approaches to terrorism, which experts like Goodman believe would likely produce different results. Question: Who will be gone soon?\n", "labels": "terrorists", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-80de0fe4628b41c78b2b037fe97659aa"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: SEOUL \u2014 The U.S. and South Korea remain united in pursing a diplomatic solution to end the North Korean nuclear threat, but their national security priorities may differ over what would be the role of the U.S. military in Korea after a denuclearization deal is reached.\n\"That is going to be the moment of truth, so to speak, when the United States and South Korea will have to agree on what kind of security alliance we want to maintain moving forword,\" said Go Myong-Hyun, a North Korea analyst at the Asan Institute for Policy Studies in Seoul.\nU.S. President Donald Trump on Friday revived the June 12 Singapore summit with North Korean leader Kim Jong Un, eight days after canceling it. Trump said he was convinced of Kim's commitment to denuclearization by the renewed diplomatic talks that included a visit to Washington by Kim Yong Chol, the North's former intelligence chief, who carried a letter from the North Korean leader.\nSouth Korean President Moon Jae-in has been influential in facilitating the U.S.-North Korea summit, in getting Kim to agree to the broad goal of denuclearization, and in urging Trump to stay committed to the diplomatic process to resolve differences with North Korea.\nPresident Trump seems to be leaning now towards Moon's approach versus the more confrontational stance advocated by some of his security team in demanding that North Korea unilaterally and completely disarm before any concessions are granted.\nFriday Trump downplayed expectations for a major breakthrough at the summit, saying it will be the beginning of a process. He also backed away from his \"maximum pressure\" approach that stressed tough sanctions and the threat of military force, focusing instead on brokering an agreement to end the North's nuclear program for economic aid and security guarantees that could include a peace treaty to replace the armistice that ended the Korean War in 1953.\nSouth Korean officials said there is possibility that Moon may join Trump in Singapore to help negotiate a nuclear deal with Kim, as the South Korean leader shares both Trump's overall goals, and has developed a positive working relationship with his North Korean counterpart during their two previous summits. Question: Who backed away from a \"maximum pressure\" approach with North Korea?\n", "labels": "Trump", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-74156f5d25394229a1d324003352f4fe"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Constipation is not a glamorous topic, but it's certainly important, especially in older adults.\nAs anyone who has experienced occasional \u2014 or even chronic \u2014 constipation can tell you, it can really put a damper on quality of life and well-being.\nConstipation can also cause more substantial problems, such as:\n* Severe abdominal pain, which can lead to emergency room visits\n* Hemorrhoids, which can bleed or be painful\n* Increased irritability, agitation, or even aggression, in people with Alzheimer's disease or other forms of dementia\n* Stress and/or pain that can contribute to delirium (a state of new or worse confusion that often happens when older adults are hospitalized)\n* Fecal incontinence, which can be caused or worsened by having a hard lump of stool lodged in the lower bowel\n* Avoidance of needed pain medication, due to fear of constipation\nFortunately, it's usually possible to help older adults effectively manage and prevent constipation. This helps maintain well-being and quality of life, and can also improve difficult behaviors related to dementia.\nThe trouble is that constipation is often either overlooked or sub-optimally managed by busy healthcare providers who aren't trained in geriatrics. They are often focused on more \"serious\" health issues. Also, since many laxatives are available over-the-counter, some providers may assume that people will treat themselves if necessary.\nPersonally, I don't like this hands-off approach to constipation. Although several useful laxatives are indeed available over-the-counter (OTC), I've found that the average person doesn't know enough to correctly choose among them.\nAlso, although in geriatrics we often do end up recommending or prescribing laxatives, it's vital to start by figuring out what is likely to be causing \u2014 or worsening \u2014 an older person's constipation.\nFor instance, many medications can make constipation worse, so we usually make an attempt to identify and perhaps deprescribe those.\nIn short, if you're an older adult, or if you're helping an older loved one with health issues, it's worthwhile to learn the basics of how constipation should be evaluated and managed. This way, you'll be better equipped to get help from your health providers, and if it seems advisable, choose among OTC laxative options. Question: Who can benefit from laxatives?\n", "labels": "those with constipation", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-a092d4627b8c4e849dec6151b81e9423"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: For a moment, Paul wasn't even sure who had walked into the room. Chloe had totally transformed herself since he'd last seen her. She wore a wig for starters, and a very good one. It was light brown and shoulder length. It looked so natural that if he didn't know she had much shorter hair, he would have guessed that she had dyed it. But it was the outfit that made the change. She wore a well-tailored, very professional, gray woman's skirt/blazer combo with a yellow silk blouse. Her wrist sported what looked to Paul's uneducated eye like an expensive and fashionable gold lady's watch from which he thought he detected a glint of diamond. In short, she looked just like the high priced lawyer she was supposed to be. She was certainly the best-dressed person in the room.\nChloe reached across the table to shake Greg's hand, stretching forward as she did so. Paul watched Greg glance down at her cleavage while he shook her hand. \"I'm Rachel Roth, here on behalf of Mr. Paul Reynolds.\"\n\"Hi,\" said Greg. \"I'm Greg Driscol, and this is...\"\n\"I know the rogues gallery here,\" said Chloe cutting Greg off and looking around at the assembled board members. \"I've learned all about you gentlemen.\"\nMarie stood up and shook Chloe's hand. \"Marie Cooper, from Johnson, Myers, and Wick,\" she said.\n\"Nice to meet you,\" she said. \"Ok, we've got the intros down, shall we get on with the dirty business?\"\n\"Um, sure,\" Greg said as he sat back down. \"I was just about to turn things over to Marie.\"\nThe plan was now in action, and so far so good. But Paul knew that this was a crucial moment. Chloe didn't really know the law - just a few points that her friend had helped her out with. She couldn't let the real lawyer take over the meeting. Her dramatic, unexpected entrance had them off guard, and Paul hoped she seized the moment and pressed on. Question: Who came on behalf of Mr. Reynolds?\n", "labels": "Rachel", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-66116bb2e79d4db0b9d5f52c88fc0af7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: WHITE HOUSE \u2014 An audio recording was released Monday depicting children desperately crying and begging for their parents after being separated from them by U.S. immigration authorities at its southwestern border, sparking new outrage against the Trump administration and its new \"zero-tolerance policy\" towards illegal immigrants.\nThe nearly eight-minute long recording was released by ProPublica, an independent, investigative news site. ProPublica says an unidentified whistleblower passed on the recording to a civil rights attorney, who gave it to the website.\nAmong the disturbing sounds heard on the recording was a child identified by ProPublica as a six-year-old girl from El Salvador begging authorities in Spanish to call her aunt to pick her up from the detention center.\nAt one point in the audio, a man identified as a Border Patrol agent said in Spanish over the cries of scores of children: \"Well, we have an orchestra here. What's missing is a conductor.\"\nPresident Donald Trump defended his administration's policy of forcibly separating children from parents at the U.S. border with Mexico on Monday, saying \"The United States will not be a migrant camp and it will not be a refugee holding facility.\"\nTrump, speaking in the White House East Room during a National Space Council meeting, warned that \"what's happening in Europe \u2026 we can't allow that to happen to the United States \u2013 not on my watch.\"\nEarlier in the day, on the Twitter social media platform, the president inaccurately linked migration in Germany to a rising crime rate. (Actually, the latest German government statistics show reported crimes at the lowest level in 30 years.)\nNearly 2,000 children were sent to mass detention centers or foster care from mid-April to the end of May, according to government officials.\nThe regular White House briefing was delayed several times Monday amid the furor as officials huddled with Trump in the West Wing.\nPress Secretary Sarah Huckabee Sanders finally introduced Department of Homeland Security Secretary Kirstjen Nielsen by late evening, and she defended the administration's \"zero-tolerance\" policy that is breaking up families at the southwestern U.S. border.\nNielsen forcefully pushed back at the negative media coverage, asserting that what U.S. authorities are doing is properly enforcing the law. Question: Who defended the administration's \"zero-tolerance\" policy?\n", "labels": "Secretary Sarah Huckabee Sanders", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-3ea678e0ccdc48afb036066392e1610c"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: We gave Tiger swimming lessons in our plastic wading pool. I taught the kitten the way Pa taught me: I threw him into water where he could not stand, and I watched, ready to grab him if he went under. Tiger did not thrash desperately like me. He merely paddled urgently for the edge of the plastic pool with his head high and his thin legs churning. Little Bit said, \"Dog paddle,\" and we all laughed. \"Tiger paddle,\" I said, and we all laughed some more, even Jordy. That was probably when Ma noticed the kitten swimming lessons and stopped them.\nOur swimming lessons happened in two places. When Pa took us, we went to Hawkins Springs behind Mrs. DeLyons' Fountain of Youth Motor Hotel. When Ma took us, we drove to Mermaid Springs State Park, where we would sometimes meet Mr. Drake.\nI liked Mermaid Springs better because I felt safe there. Ma could not swim, so she never made me jump off a dock into deep water, and she always insisted that I wear an orange styrofoam cylinder on my back like a skindiver or spaceman. Ma usually sat on a towel on the grass near the beach, reading a magazine or a book while tanning her legs. Every now and then she would call to us not to go too far or not to splash each other. When she wore her one-piece red swimming suit, she would come in up to her waist, then lower herself to her shoulders, being careful not to get her hair wet. On the rarest occasions, she would wear a swimming cap and float on her back in the shallow water. Often she stayed in her shorts and shirt, adding sunglasses and removing shoes as her concession to summer and the beach. Question: Who was careful not to wet her hair?\n", "labels": "Ma", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-3ab6a42384d34a7d870aac50dc190179"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: It will come as no surprise to those working in the UK's higher education (HE) sector that universities are currently suffused with anxiety. The University and College Union (UCU) has recently been in dispute with employers over proposed changes to the USS pension scheme, and the most sustained period of industrial action in the sector's history has highlighted the fears staff have for the security of their futures post-retirement. Such unprecedented strike action needs to be situated within the wider context of a public sector undergoing transformation: while the concept remains contested, the influence of \"neoliberal\" ideas on universities can most clearly be seen in Success as a Knowledge Economy \u2013 the government white paper that preceded the 2017 Higher Education and Research Act \u2013 which states:\n\"Competition between providers in any market incentivises them to raise their game, offering consumers a greater choice of more innovative and better quality products and services at lower cost. Higher education is no exception.\"\nYet what might \"raising our game\" mean for academic staff? The university has been described as an \"anxiety machine\": the creeping marketisation of the sector along with pressure to recruit students (now \"consumers\"), increasing managerialism, and the implementation of processes of audit \u2013 such as the REF and TEF \u2013 to evaluate performance have arguably contributed to a progressively anxious landscape in which to labour.\nIn 2016/17, 34% of academic staff were employed on fixed-term contracts \u2013 a figure likely to be disputed by the UCU, since in 2016 it estimated the extent of casualisation in the sector to be closer to 54% once atypical contracts had been taken into consideration. In addition to pressures facing many staff in universities \u2013 such as time-management, meeting growing employer expectations, and the evaluation of performance \u2013 \"casualised\" contracts present particular challenges for those facing employment uncertainty: in a material sense, this can be a case of keeping up with regular payments for rent and bills, or providing for dependents; on a day-to-day basis, time is spent juggling existing contracts with job applications and interviews, whilst acknowledging that planning for the future often seems unthinkable \u2013 even farcical \u2013 in the face of the unknown. Question: What group has recently been in a dispute with employers?\n", "labels": "The University and College Union", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-c195910d76634f61a73b0a425752fb42"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Thank you for the a2a! I have a habit of making mental errors; some funny, some not. This one just happens to be funny.\nWe had \"open critiques\" in art school. The idea was A- to point out how we could do it better, and B- to toughen us up for the advertising world. It's brutal, cruel, and cutthroat, and get ready for your stupid clients to ruin your tasteful design and fuck it all kinds of up to put a picture of their ugly-ass crotch dropping on there, or a huge starburst that says \"SALE SALE SALE!\". You had to learn not to care, and do your fulfilling artwork on the side. It's just a job; nothing personal.\nWe were in the middle of a critique, and it was turning ugly. The only time our professor would jump in was if it turned personal. It had. He laid back and let us fight it out, until someone told the girl we were critiquing that \"with your taste from growing up in a trailer park, looks like you'll be working for the Auto Trader\" (a shitty, newsprint magazine that people sell used cars in- the worst of the worst design jobs).\nBefore our professor could comment, I blurted out \"For fuck's sake, Mom\u2026.\" I was about to say \"tell them to break it the fuck up!\" until the laughter started. Then I realized I'd called my professor, who had an MFA and spent 20 years in advertising at Saatchi and Saatchi, \"Mom\".\nHe responded with such amazing, quick wit; \"Ms. Hood, I admire your devotion to your mother; just remember she stays home while you come to class.\"\nI caught hell for it that entire semester. Luckily, we (almost) all had pretty tough skins, so it was amusing, even to our somewhat staid professor. He wrote on my end of semester assessment \"Respectfully, Not Your Mom.\"\nI still keep that assessment to remind me to wear life like a loose garment. We all say stupid shit sometimes; just laugh at yourself and enjoy the silly moment. Question: Who decided to order open critiques?\n", "labels": "The art professor", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-06f7d5a3872b4c33996de6c7f88e08b4"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: A beautiful, sexy redhead sat across from Greg Tenorly. He was nervous about the closed door, but she had insisted. The slightest hint of impropriety would spark a blaze of rumors.\nGreg tried to concentrate on her story. But his mind wandered to his 34-year-old receding hairline and bulging stomach. The part-time music minister had been feeling good about himself ten minutes ago. Time to start exercising again.\n\"I grew up in Marshall. Graduated from East Texas State, and got a job at a bank in Greenville. Three years ago, I moved here so I could be closer to Mom. She still lives in Marshall. I met Troy at a high school football game. He was fun, down-to-earth. We've been married for two years.\"\nCynthia Blockerman was a vice president at First State Bank, yet only in her late 20's. She certainly looked the part, dressed in an expensive brown business suit, matching shoes and tasteful jewelry. And her shoulder-length hair was the kind you only see in shampoo commercials. Greg felt underdressed in his faded golf shirt, baggy slacks, and generic running shoes.\n\"Everything was fine for the first six months or so. But I guess he was just playing the part of a good husband. Then I started to see his real personality. As soon as he gets home from work, he goes straight for the beer. By nine, there's a pile of cans next to his recliner, and he's calling me names, and throwing things.\n\"Sometimes he hits me. He did it one time before we got married, but he said he was so sorry. And even broke down and cried. He promised he'd never do it again.\"\n\"Is there anything in particular you say or do that seems to set him off?\" It was a dumb question, but the only one he could think of.\n\"No. It doesn't matter. I can be extra sweet, or mean, or just ignore him. He still gets mad and crazy. I don't know what to do. I want to leave him, but I'm afraid he'll come after me.\" Question: Who was a vice president at First State Bank?\n", "labels": "Cynthia", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-15b72553b79540458d0e07066220f283"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: On Christmas Eve Slawek Przekosniak received an SMS with these wishes: Wishing yo good ping super new\". He didn't know who sent him that surprisingly enigmatic message. And he doesn't know to this day. A pity, because thanks to that person he reached his current status and number 67 on the list of the wealthiest Poles.\nBack then, during that beautiful, rusty white Christmas Eve night, Przekosniak, who was rudely kicked out from a social network for utopian fanatics of extreme phobias (www.ilovefobia.pl) just a few days earlier, got an idea.\nIt was a quite good idea too, and the next SMS (\"All at cart by unintentionally only honest lamb\") convinced him it was the best idea of his life.\nSlawek Przekosniak, together with a friend from ilovefobia.pl - Czesiek Ciag, decided to set up an on-line service, through which one could send SMS greetings to mobile phones. And the most important feature of the service was that texts of the wishes were not going to be predetermined and there would be no set list of pre-selected options. Messages would be created by a special software program from random words provided by a customer. Such a system would allow for truly unique greetings, and after all, nobody said they had to be comprehensible.\nCzesiek took care of the development of the software, which for now they named \"John of the Disc\". Czesiek had suitable experience in the matter. While on the forum for (select as appropriate) phobics he designed an application, which created slogans for street protests. The application, even though it produced phrases completely illogical and nonsensical, became quite popular, and some of its most unique catchphrases you could have seen on TV - \"Out With There Harm Out!\" or \"To Them Bag Away Now Now!\"\nTwo future men of success got to work and the SMS greeting portal bestbestbest.pl went live just before Easter. Question: who designed an application, which created slogans for street protests?\n", "labels": "Czesiek Ciag", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-1cd5c5b6d75d435d9b24b9c9e6eedaa7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: WASHINGTON \u2014 U.S. President Barack Obama has shortened the sentences of 214 inmates of U.S. federal prisons, in what the White House called the largest batch of commutations on a single day in more than a century.\nThe early release is part of Obama's effort to correct what he views as unreasonably long mandatory minimum sentences.\nThe president's push to lessen the burden on nonviolent drug offenders reflects his long-stated view that the nation should remedy the consequences of decades of onerous sentencing rules, which have put tens of thousands of Americans behind bars for far too long.\nAmong those affected by Wednesday's presidential order were 67 individuals serving life sentences - almost all for nonviolent drug crimes, although a few also were charged with firearms violations related to their drug activities.\nTo date, Obama has granted 562 commutations, more than the previous nine presidents combined, and more clemency actions that by any other president in nearly a century.\nWhite House counsel Neil Eggleston said in the White House blog that Obama examines each clemency application on its specific merits to identify the appropriate relief, including whether the prisoner would be helped by additional drug treatment, educational programs or counseling.\nPresidents tend to use their powers to commute sentences or issue pardons more frequently near the end of their terms of office. Administration officials said the rapid pace will continue before Obama's leaves the White House in January 2017.\n\"We are not done yet,\" Deputy Attorney General Sally Yates said. \"We expect that many more men and women will be given a second chance through the clemency initiative.\"\nObama has long called for phasing out strict sentences for drug offenses, arguing they lead to excessive punishment and incarceration rates unseen in other developed countries. With presidential support, the Justice Department in recent years has directed prosecutors to rein in the use of harsh mandatory minimums.\nEggleston once again called on Congress to pass legislation overhauling the U.S. criminal justice system.\n\"It is critical that both the House and the Senate continue to work on a bipartisan basis to get a criminal justice reform bill to the president's desk,\" he wrote. Question: Who said that the House and Senate need to continue to work on a bipartisan basis?\n", "labels": "Eggleston", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-3afb3e86fd644fd298a48292ee054b09"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: China's Defense Ministry said Thursday that a U.S. decision to disinvite China from a major international maritime exercise is \"unconstructive.\"\nA ministry statement said despite the decision, China will continue playing a role in \"maintaining peace and stability in the Asia-Pacific region.\"\nThe United States announced its move Wednesday, saying Beijing's \"destabilizing behavior\" in the South China Sea is inconsistent with the principles of the U.S.-led drill.\n\"China's continued militarization of disputed features in the South China Sea only serve to raise tensions and destabilize the region,\" read a statement from Lt. Col. Christopher Logan, a Pentagon spokesman.\nThe statement said that disinviting China from the 2018 RIMPAC is an \"initial\" response to Beijing's South China Sea activities. It did not specify what other steps may be taken.\nChinese Foreign Minister Wang Yi said China's activity in the South China Sea was for self-defense and that it was a \"much smaller scale\" than what the United States had done in Hawaii and Guam.\n\"We hope that the U.S. will change such a negative mindset,\" he said at a joint news conference with Secretary of State Mike Pompeo.\nSince 2014, China has taken part in RIMPAC, the world's largest international maritime drill, which is held every two years in Hawaii. It's a reflection of expanding U.S.-China military ties, despite tensions over Beijing's construction of man-made islands in the South China Sea, some of which have been militarized.\n\"We have strong evidence that China has deployed anti-ship missiles, surface-to-air missile (SAM) systems, and electronic jammers to contested features in the Spratly Islands region of the South China Sea. China's landing bomber aircraft at Woody Island has also raised tensions,\" the Pentagon statement said.\n\"We have called on China to remove the military systems immediately and to reverse course on the militarization of disputed South China Sea features,\" the statement added. \"We believe these recent deployments and the continued militarization of these features is a violation of the promise that (Chinese) President Xi (Jinping) made to the United States and the World not to militarize the Spratly Islands.\" Question: Who broke the promise not to militarize the Spratly Islands.\n", "labels": "Xi Jinping", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-9febe9de50ae4c6ca97977ab107096c7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: It has become increasingly common for academics to use social media to communicate with wider audiences. Twitter, like many other social platforms, typically measures success in terms of numbers of followers, likes and retweets, but this only tells us something about the spreading of messages but not necessarily whether the content of the messages is understood or embraced. One way to ascertain this is through network and language analysis, which, used together, can tell us how effective the communication is.\nEconomists tweet less, mention fewer people and have fewer conversations with strangers than a comparable group of experts in the sciences, and use less accessible language with words that are more complex, with more abbreviations and with a more distant tone. Their tweets are less personal and less inclusive than those used by scientists.\nThis is what appeared in April 2017 when we gathered data on tens of thousands of tweets from the Twitter accounts of both the top 25 economists and 25 scientists as identified by IDEAS and Science, including the top three economists at the time, Paul Krugman, Joseph Stiglitz, and Erik Brynjolfsson and, on the other side, the top three scientists, Neil deGrasse Tyson, Brian Cox, and Richard Dawkins. At that time those accounts covered roughly two thirds of all the following.\nThe timing is significant because 2016 has been declared the year of post-truth politics, the year in which appeals to emotions (pathos) superseded the significance of factual evidence-based information (logos), affecting people's constructions and interpretations of events. This has been accompanied by the growing prominence of political \"alt\" movements (e.g. UKIP, the Alt-right) and their aggressive, provocative, and populist narratives, and \"fake news\" leading to political shock events such as Brexit and the Trump election.\nThe relatively low traction of economists in these public debates has been and continues to be an important issue. Does the public not trust economists? Don't they understand what economists do and how they work? Is their work misrepresented in the media? And how do economists themselves interact with public opinion? Question: Who's tweets' were analyzed?\n", "labels": "Paul krugman", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-0c37df18ed2e4da5af351c2b00a5c6a6"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Valentine's Day sucks. Which may sound odd coming from someone who ceaselessly praises love and sex, but it is true. I am not a fan.\nMy mother and father were married in a small Baptist Church on Valentine's Day in 1959. They are no longer together. They are still technically married but my father now lives in a residential care home for dementia patients and my mother lives alone. My father's disease makes him angry and aggressive leaving my mother with blurred and fading memories of his kindness. It is a sad day for all those whose partners are transformed into strangers by illnesses.\nSome things aren't fair.\nIt is my step(ish) daughter's birthday on Valentine's Day (I am not married to my boyfriend so I can't claim to be a step-mum and there is no other term for it). The end of my boyfriend's marriage has put continents between him and his children. When he hangs up the phone after talking to his daughter, his eyes are dark with pain. It is a sad day for all those whose love is diluted by oceans.\nSome things can't be changed.\nI remember the last Valentine's Day I spent with my ex-husband. I was a couple of weeks away from moving out but I hadn't told him yet. I felt sick and scared and heartbroken. My husband and I passed the entire day without speaking. As I stood on the edge of the cliff summoning up the courage to jump, I felt entirely alone. It is a sad day for all those whose love has withered away.\nSome things can't be fixed.\nI want to believe that \"love is all you need\" because it feels as though it could almost be true, but then I remember, on days like this, that for as many hearts that sing, there are equally as many that struggle to beat. Question: Who was married in a Baptist church?\n", "labels": "The authors parents", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-7c6c989dea584dcaaa6d52cfe69bdea4"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: His eyes were open and his head bobbed around at an impossible angle. He was sitting in about forty feet of water, stone dead, one arm pinned between the rocks. As best I could tell, he had been dead when he landed there. The mud and ooze around him were as serene and smooth as he was. The cop who was assisting me swam over and made a palms up gesture. I shrugged back at him and began to work the body loose. The corpse had only one leg, and as I worked I wondered what he had been doing in the lake. I got the arm free and kicked toward the quicksilver surface above me. The body turned bloated and heavy when I broke water with it, and it took three of us to load it into the police launch. I dried off and got a coke out of the cooler. It was getting to be another Texas scorcher, and the sunlight bouncing off the surface of the lake felt like it had needles in it. My mouth was dry from breathing canned air and the carbonation burned like fire. Winslow, from the sheriff's office, sat down next to me. 'I appreciate this, Dan,' he said. 'No problem.' Sam Winslow and I had grown up together about twenty miles outside Austin in a little town called Coupland. We'd fought a lot as kids, and there were still plenty of differences in our politics and educations. But being on the police and fire rescue squad had brought me closer to him again, and I was glad of it. A private detective needs all the friends he can get. 'What do you make of it?' I asked him. 'Accidental drowning, looks like.' I raised an eyebrow but didn't say anything. 'He's got a bump on the head that could have come off a rock. We'll see what the coroner says.' 'Any idea who he is?' Winslow shook his head. He'd gained weight in his face recently and his jowls vibrated with the gesture. Question: Who got coke out of the cooler?\n", "labels": "The narrator", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-dbd8fc1546b642708d6fec62bb983d39"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I've shared my feelings about Temple Spa before in my review of Repose Aromatherapy Resting Cream. Basically, my first experience was a very pushy salesperson at a wedding fair several years ago which really put me off the brand, and it took me a while to try their products again. But when I did I was really impressed, and I can honestly say that nothing I've reviewed since has disappointed me!\nToday I'm reviewing Temple Spa Trufflesque, an Ultra  Hydration & Radiance Masque for the face. Trufflesque aims to give hydration and radiance to the skin, and plumps to help reduce the appearance of fine lines and wrinkles. It's a luxury mask suitable for all skin types, particularly dry or dull skin, and it helps to rejuvenate tired skin too. The impressive list of ingredients includes black truffles, gold and silk peptides, but unfortunately these expensive additives contribute to Trufflesque's slightly expensive price tag.\nThe first thing that strikes me about this product is the amazing packaging. All Temple Spa products have really amazing, premium packaging, and I feel that they add to the feeling that you are about to use something really special on your skin. The dark glass jar has a gold lid and it is nestled in a gold and chocolate brown box with the most amazingly cute mask brush slotted in too.\nThe mask itself is gold and it shimmers so prettily, if you look closely it's almost as if you can see the particles of real gold! To apply you just paint the golden mask onto your face with the cute little brush (it makes applying the mask so easy) then leave for 15-20 minutes.  The mask doesn't dry completely, it stays a little bit tacky to the touch, and I find that it makes my skin tingle quite a bit. For extra benefits you can also then massage the mask into your skin for around 2 minutes, before removing with a damp muslin cloth or flannel. Question: Who had a really pushy salesperson?\n", "labels": "Temple spa", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-983218d6e0284b8294faef4c0cff4f25"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I have been preparing our house for the market and in doing so, I have gotten rid of a lot of stuff!\nI am definitely the hoarder in our house. My husband could live out of two bags, use about five kitchen items each year, and doesn't gather anything for future use or hang on to much for sentimental value. (Which probably means the items he has hung on to mean a whole lot more!) I am always tucking something away here or stashing materials there\u2026all in preparation for \"some day.\" It's also part of the teacher in me. Do you know many teachers that don't have a ton of stuff or utilize every bit of storage available?\nBut, over the last several years, I've been fairly good about going through things every six months and weeding out a little here and a little there.\nToday I'll be sharing six simple ways to declutter your home and why you should!\nGIVE THINGS AWAY\nIt's nice to make money, but sometimes you come across something that you really think someone else could use and you don't want to throw it away. If it's the perfect fit for that person, they may adopt the item and add their own wear and tear! Anyone that's had children knows that kids go through things so fast and it's nice to save a little money by taking hand-me-downs from a friend or relative. If the receiver decides they don't want the item, let it be. They'll either get rid of it on their own or decline the offer. If they choose the latter, maybe the rest of this list will help.\nPACK\nIf you know you don't want to purge an item from your house AND you know that you will use it in the future, but it's not an everyday use item, pack it up. We have several containers of things in our garage that are full of items we use once or twice each year. I have added close to 100 boxes of things to simply declutter our home while it's on the market. I took a look at everything and kept the essentials (well, maybe even more than the essentials), and packed up the rest. Question: Who will either get it on their own or decline the offer?\n", "labels": "the receiver", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-690d1ddc4f2e409aac58a2262e209094"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Thanks Richard for asking. Yes. I have something to tell. We have record rainfall during 24 hours in Lahore, breaking previous one day record by more than 60%. Our drainage system is pathetic. Other systems such as telephone, electricity, cable etc. are no better. Poor planning has further been aggravated by extremely mismanaged maintenance and operational bugs.\nThis morning, when I was out for our fajr (morning prayers) in masjid, a neighbor told me that the pole laden with electricity meters was under fire. After that he buzzed off for complaint office.\nWhen I returned after prayers, I saw fire reaching cable part after meter; one meter had caught fire and other meters (including ours) was in danger of catching fire. It was still dark. I waited for someone to come out. No one appeared. I came inside and told my wife about and went again out to see if I could find someone to go about extinguishing fire. IT WAS DAM RISKY AS DIGGING WAS DONE BY TELEPHONE COMPANY AND RAINS HAD MADE A MESS ON OUR STREET. No one was seen.\nMy wife came out; brought hose pipe. I managed to use it as water gun and there was some post-extinguishing sparking; fire was put out. I want to add here that hose pipe should only be used when someone knows how to send bursts of water so that electric current cannot build a circuit.\nLater in day we heard about the most stupid thing; people were inside their houses, watching flames from pole but not knowing what to do. THEY DID NOT EVEN COME OUT TO SHARE THE ACTIVITY.\nThat has happened today. I am going to ask everyone about it one by one. Also, I am still looking for the guy who went to complaint office and was never seen thereafter this morning.\nThat can happen to anybody. Question: Who asked the narrator to describe this event?\n", "labels": "Richard", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-20b31676896a4c0d883bed43c702187c"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: A federal judge on Thursday rejected efforts by Texas to stop the resettlement of Syrian refugees within its borders.\nThe ruling comes days after presumptive Republican presidential nominee Donald Trump called to block non-citizen Muslims from entering the U.S. following the Orlando nightclub massacre.\nEven before the attack, Americans were divided, mostly along party lines, on the issue of refugees from war-torn countries in the Middle East.\nA survey conducted in late May by the Brookings Institution found of those polled, just 38 percent of Republicans supported taking in refugees from Syria and the Middle East, compared with 77 percent of Democrats. But among Trump supporters, an overwhelming 77 percent said they oppose taking in refugees.\nSo who are these people who cause such a divide among Americans, triggering feelings of dread and suspicion in some and feelings of empathy and hospitality in others?\nMillions have been forced to flee the bloody conflicts in Syria, Iraq, Libya and other Middle Eastern nations.\nIn 1951 the United Nation's Refugee Convention defined a refugee as someone who \"owing to a well-founded fear of being persecuted for reasons of race, religion, nationality, membership of a particular social group or political opinion, is outside the country of his nationality, and is unable to, or owing to such fear, is unwilling to avail himself of the protection of that country.\"\nBy the end of 2014, there were 19.5 million refugees worldwide, according to the United Nations, 14.4 million of whom were under the mandate of the United Nations Human Rights Council. This was an increase of 2.9 million from 2013.\nThe remaining 5.1 million refugees were registered with the United Nations Relief and Works Agency.\nHowever, there are an estimated 59.5 million forcibly displaced persons around the world, according to United Nation's Global Trends report. This population not only includes refugees, but internally displaced persons, asylum-seekers and stateless people as well.\nPresident Barack Obama has set a goal of resettling 10,000 Syrian refugees in the 2016 fiscal year, which began on October 1. But the administration is still far behind that schedule.\nAbout 3,500 Syrian refugees have been admitted, leaving about 6,500 spots open with less than four months to go. Question: Who prevented Texas from allowing Syrian refugees into Texas?\n", "labels": "a federal judge", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-6a3f7861d04a463e8fd0b10c6a4eadf7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: President Donald Trump is counting on congressional Republicans to enact a package of tax cuts in the coming weeks, in the process delivering his first major legislative achievement since taking office in January.\nBut even as Trump and his Republican allies close in on the goal of passing tax reform, the Russia investigation continues to be a major distraction.\nThe recent plea deal between Trump's former national security adviser, Michael Flynn, and the office of special counsel Robert Mueller sent shockwaves around Washington and at the very least seemed to indicate the Russia probe is a long way from being completed.\nTrump is banking on a tax cut victory to shore up his political base and show supporters and detractors alike that he is a man of his word when it comes to delivering on his campaign promises.\nHouse and Senate negotiators are now working to resolve differences in the two versions with hopes of final votes in the coming weeks. But even if the tax plan is enacted into law, its impact is not likely to be felt for at least a year. And polls show the plan has less than majority support.\nTrump insists the tax cuts will lead to economic growth and more jobs.\n\"I will tell you this is in a nonbraggadocio way,\" Trump told supporters in Missouri recently. \"There has never been a 10-month president that has accomplished what we have accomplished. That I can tell you.\"\nDemocrats oppose the tax plan but lack the votes to stop it.\n\"It rewards the rich in terms of individuals and corporations at the expense of tens of millions of working middle class families in our country,\" warned House Democratic leader Nancy Pelosi.\nDespite his poor standing in national polls, just less than 40 percent approval in most surveys, Trump's base is largely sticking with him. The latest American Values Survey by the Public Religion Research Institute found that 84 percent of Republicans continue to back the president. Question: Who is Trump's former national security adviser?\n", "labels": "Michael Flynn", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-712e020c60ad4aa2bdd8d7dcf139ce1c"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: WASHINGTON \u2014 U.S. President Donald Trump disclosed in a financial report filed with the government's ethics watchdog Tuesday that he had reimbursed his personal lawyer more than $100,000 for unspecified expenses.\nIn his annual financial disclosure form, which was released by the Office of Government Ethics (OGE) on Wednesday, Trump acknowledged that he had \"fully reimbursed\" his personal lawyer, Michael Cohen, in the range of $100,000 to $250,000 in 2016.\nTrump's lawyers have previously said the president reimbursed Cohen for $130,000 Cohen paid to adult film star Stormy Daniels in the final weeks of the 2016 U.S. presidential campaign to keep her quiet about a sexual tryst she said she had with Trump 10 years earlier.\nTrump has denied the affair but recently confirmed reimbursing Cohen through a monthly retainer to stop \"false and extortionist accusations\" made by Daniels about an affair. Cohen has also acknowledged making the payment.\nThe disclosure said that while the payment to Cohen was not a \"reportable\" liability, Trump chose to list it \"in the interest of transparency.\" It did not say why Trump had left it out of his 2017 financial disclosure documents, though one of the president's lawyers, Rudy Giuliani, has said that Trump didn't know about the payment when he reported his finances last year.\nThe Office of Government Ethics, in a letter to Deputy Attorney General Rod Rosenstein, said it had determined that the payment to Cohen constituted a loan that should have been reported. However, it said the information Trump provided in his latest financial form met \"the disclosure requirements for a reportable liability\" under the Ethics in Government Act.\nUnder the Ethics in Government Act, top government officials are required to report all debts in excess of $10,000 during the previous reporting period. \"Knowingly or willfully\" falsifying or failing to file reports carries civil and criminal penalties. Trump listed several hundred million dollars in liabilities in his financial report.\nCritics seized on the OGE's letter to charge that Trump's earlier omission of the payment could amount to a violation of federal laws on financial disclosures. Question: Who did lawyers say the president reimbursed lawyers for money paid to?\n", "labels": "Stormy Daniels the adult film star", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-0f2698ba5b1a4e4597289da70da308f6"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Young undocumented immigrants seeking permanent status in the United States received an unexpected boost Thursday on Capitol Hill as a small group of House Republicans mounted a last-minute effort to bring up an immigration vote in Congress.\nThe group of eight Republicans \u2014 some freed from political considerations by upcoming retirements and others facing tough re-elections races \u2014 defied their own party leadership, quickly persuading 10 more Republicans to sign on to a petition that would force debate on the Deferred Action for Childhood Arrivals (DACA) program.\nWith all 193 Democrats expected to sign on, Republicans will have to persuade just seven more members of their own party to join the petition to trigger a vote on several immigration bills on the House floor.\nBut Republican leadership said the effort would be wasted if the end result is a presidential veto.\n\"I think it's important for us to come up with a solution that the president can support,\" House Speaker Paul Ryan told reporters Thursday. These types of petitions are rare and seen as a threat to leadership's ability to direct legislative action.\n\"It's better to use the legislative process,\" Republican Majority Leader Kevin McCarthy told reporters Wednesday.\nBut that argument appears to be losing sway with House members who see an opportunity for legislative action in a mid-term election year. The growing group of House Republicans are joining Democratic colleagues who have long criticized Ryan for not bringing immigration bills up for a vote.\n\"This is about making sure we're not consolidating power in the White House,\" said Representative Mia Love, a Republican from Utah and one of the first lawmakers to sign petition.\nThe immigration issue had all but died after an effort to pass a DACA fix collapsed in the U.S. Senate earlier this year.\nThe program has been the focus of fierce negotiations on Capitol Hill since last September, when President Donald Trump announced he was ending the 2012 Obama-era program and called for a legislative fix. Question: Who was freed from political considerations?\n", "labels": "a small group of Republicans", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-07975ba57a584948819599666816fa4f"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: U.S. President Donald Trump said Saturday that he had instructed his representatives not to sign a communique by all seven leaders attending the G-7 summit in Canada, citing statements by Canada's Prime Minister Justin Trudeau made after he left.\n\"Very dishonest and & weak,\" Trump tweeted in response to Trudeau's remark that the new U.S. tariffs on aluminum and steel were \"insulting.\"\n\"Based on Justin's false statements at his news conference, and the fact that Canada is charging massive Tariffs to our U.S. farmers, workers, and companies, I have instructed our U.S. Reps not to endorse the Communique as we look at Tariffs on automobiles flooding the U.S. Market!\" Trump added.\n\"International cooperation cannot be dictated by fits of anger and throwaway remarks,\" French President Emmanuel Macron's office said in a statement about Trump's withdrawal from signing the communique. The statement also said Trump's action is a display of \"incoherence and inconsistency.\"\n\"Germany stands by the jointly agreed communique,\" Germany spokesman Steffen Seibert said in a statement.\nTrudeau closed the summit Saturday by refusing to budge on positions that place him at odds with Trump, particularly new tariffs on steel and aluminum that have irritated Canada and the European Union.\nHe said in closing remarks that Canada would proceed with retaliatory measures on U.S. goods as early as July 1.\n\"I highlighted directly to the president that Canadians did not take it lightly that the United States has moved forward with significant tariffs,\" Trudeau said in the news conference following the two-day summit. \"Canadians, we're polite, we're reasonable, but we will also not be pushed around.\"\nBritish Prime Minister Theresa May echoed Trudeau, pledging to retaliate for tariffs on EU goods. \"The loss of trade through tariffs undermines competition, reduces productivity, removes the incentive to innovate and ultimately makes everyone poorer,\" she said. \"And in response, the EU will impose countermeasures.\"\nTrudeau and May also bucked Trump on another high-profile issue: Russia. Trump wants to have Russia \u2014 which was pushed out in 2014 over its aggression in eastern Ukraine \u2014 rejoin the group. Trudeau said he was \"not remotely interested\" in having Russia return to the group, made up of the world's seven most advanced economies. Question: Who announced that Canada would retaliate against US tariffs?\n", "labels": "Justin Trudeau", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-cd1d4f74736c4d688b332c4ae8f12c4d"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: April 1, 2006 Walter died today. Found out this morning over breakfast. Suicide. Walter. I'm still trying to wrap my mind around it. Suicide. Walter wasn't suicidal. I know that, know it for a fact. But he is dead. Why? I am not foolish enough to suspect \"foul play\" as they say in the mystery stories. No one cares enough about a community college art teacher to murder him. But suicide? Something is wrong here. Very wrong. April 2, 2006 I didn't realize until this morning that yesterday was April Fools day. Some kind of sick joke? But that's not like Walter either. He was a little crazy, but not that kind of crazy. Still I keep half expecting to pick up my voice and hear his voice yell, \"Gotcha!\" But it is no joke. I know he is dead. (Later) Got a package today. From Walter. Scary considering what I wrote about expecting him to call. I can't express the chill I got when I saw his name on the label. A message from the dead. Surely it's not a good Omen. It's a painting. Or at least I think it is. The package is the right shape, and knowing Walter it seems likely, but...I haven't yet worked up the courage to open it yet. I'm afraid of what I might find. April 3, 2006 Went to the funeral today. Walter's wife, Martha, was in hysterics. Can't say I blame her. It was awkward being there seeing someone in the most vulnerable possible condition. I didn't know her that well. Walter and I rarely interacted outside of work, so I have very little knowledge of his personal life. Sylvia went up to her and hugged her even though she'd never met her before in her life. It must be something with women to be able to make that kind of spontaneous connection. I just shook her hand, and told her I was sorry. I don't make a habit of crying in public, but seeing her so shaken up brought tears to the edges of my eyes, and I did nothing to wipe them away. After five years of friendship it's the least Walter deserves of me. One other thing. The package. It's still sitting there in my study. Mocking me. That's how it feels anyway. Should I open it? Question: Who did the author describe as \"a little crazy?\":\n", "labels": "Walter", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-1a9361e8b19d47289c1aee80dcec31a5"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: WASHINGTON \u2014 When Democratic presidential nominee Hillary Clinton announced her vice presidential choice, she referred to Virginia Senator Tim Kaine as a progressive who is \"everything Donald Trump and Mike Pence are not.\"\nTimothy Michael \"Tim\" Kaine was born on February 26, 1958, in St. Paul, Minnesota, but grew up in the metro area of Kansas City, Missouri. He is the eldest son of an ironworker and a home economics teacher. Kaine attended an all-boys Jesuit high school, joining spring mission drives to fund Jesuit activities in Honduras. He went on to earn a bachelor's degree in economics from the University of Missouri before entering Harvard Law School.\nKaine took time off from his law studies to work with the Jesuit Volunteer Corps in Honduras for nine months in 1980-81, helping Jesuit missionaries who ran a Catholic school in El Progreso. His time there reportedly helped form his support for citizenship for undocumented immigrants in the United States \u2013 a stance likely to attract Latino voters. He also learned to speak fluent Spanish, seen as a possible advantage with Hispanic voters.\nAt Harvard, Kaine met his wife, Anne Holton, the daughter of former Republican Virginia Governor Linwood Holton (1970-74), who desegregated the commonwealth's public schools. She now serves as Virginia's secretary of education. They have three children.\nAfter law school, the Kaines settled in Richmond, Virginia, where he spent nearly two decades as an attorney focusing on civil rights and fair housing. He helped found the Virginia Coalition to End Homelessness and was a board member of the Virginia chapter of Housing Opportunities Made Equal.\nKaine entered politics in 1994 when he was elected to the Richmond City Council, then became the city's mayor. Virginia's voters chose him as their lieutenant governor in 2001. Four years later, he ran for governor against Republican candidate Jerry Kilgore, a former state attorney general. Considered an underdog, Kaine trailed in polls for most of the election but won the race. He governed from 2006 to 2010. Question: Who serves as Virginia's secretary of education?\n", "labels": "Anne Holton", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-821ddf5283484a51a2b6b89c2d9a21a2"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: U.S. Defense Secretary Jim Mattis on Saturday slammed China's militarization of disputed South China Sea islands, insisting that weapons systems recently deployed in the area were meant to intimidate and coerce Beijing's neighbors.\nThe comments came during a speech at the Shangri-La Dialogue, an annual Asian defense forum in Singapore. In the speech, Mattis laid out the broader U.S. strategy for a \"free and open\" Indo-Pacific region.\n\"China's policy in the South China Sea stands in stark contrast to the openness our strategy promotes. It calls into question China's broader goals,\" Mattis said.\nSpecifically, the Pentagon chief mentioned China's deployment of anti-ship and surface-to-air missiles, electronic jammers, and the landing of a bomber aircraft at the Paracel Islands off the coast of Vietnam.\n\"Despite China's claim to the contrary, the placement of these weapon systems is tied directly to military use for the purposes of intimidation and coercion,\" Mattis added.\nThough much of the world is focused on an upcoming summit between North Korea and the United States, this year's Shangri-La Dialogue has focused primarily on the region's long-term future and how to deal with a more assertive China.\nBeijing has begun projecting power beyond its borders, most notably through the construction and militarization of islands in disputed areas of the South China Sea.\nChina claims nearly the entire South China Sea, despite overlapping claims by countries including Vietnam, the Philippines, Brunei, Malaysia and Taiwan.\nLast week, the United States disinvited China from the Rim of the Pacific exercise (RIMPAC), a major international maritime exercise to be held later this year, citing Beijing's behavior in the South China Sea.\nMattis on Saturday referred to that disinvitation as an \"initial response\" to China, but he did not outline any additional steps that might be taken.\n\"The U.S. will continue to pursue a constructive, results-oriented relationship with China, cooperating when possible and competing vigorously where we must,\" Mattis said.\nDuring a question-and-answer session afterward, Mattis fielded a question from a Chinese colonel, who claimed that U.S. freedom of navigation operations are a provocation that violate international law. Question: Who slammed China's militarization of the South China Sea islands?\n", "labels": "Jim Mattis", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-e70ad912fda341c4b66b095d096630f5"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Indian Prime Minister Narendra Modi offered a thinly veiled criticism of China, even while insisting on closer relations with Beijing, during a speech Friday in Singapore.\n\nSpeaking at the annual Shangri-La Dialogue defense conference, Modi called for the Indo-Pacific region to embrace freedom of navigation, territorial integrity, and respect for all nations, regardless of their size.\n\n\"We will promote a democratic and rules-based international order in which all nations, small and large, count as equal and sovereign,\" the Indian prime minister said. \"We will work with others to keep our seas, space and airways free and open.\"\n\nWhile those comments did not specifically mention China, Modi's remarks are seen as a reference to Beijing's increasingly assertive behavior toward its smaller neighbors in disputed areas of the South China Sea.\nModi also implicitly criticized the United States. He slammed growing protectionism, presumably a reference to recent tariffs imposed by U.S. President Donald Trump. He also said nations should keep their commitments \u2014 a possible reference to Trump's decision to pull out of the Iran nuclear deal.\n\nIndia has grown close with the U.S., especially as China projects its growing military power beyond its shores.\n\nThe U.S.-India relationship, Modi said, \"has resumed new significance in the changing world.\" An important aspect of that partnership is \"a shared vision of an open, stable, secure and prosperous Indo-Pacific,\" he added.\n\nFor decades, India has embraced a non-aligned status, which means it does not choose sides between world powers. In keeping with that position, Modi warned against a \"return to great power rivalries.\"\n\nThe Indian prime minister also insisted that \"Asia and the world will have a better future when India and China work together in trust and confidence, sensitive to each other's interests.\"\nIndia is the world's largest democracy. It has the world's seventh-largest economy. Within a decade, it is expected to pass China to become the world's most populous country. Question: Who will promote a democratic and rules-based international order?\n", "labels": "India", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-8290e03008a548dc927ae0c991b1b73c"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Not as a nurse, but as a patient. I had my appendix removed in about 1970 before keyhole surgery and the surgeon had not properly stitched the inside incision. This meant I was slowly \"leaking\" blood into the area between my abdominal cavity lining and my skin. I was kept in the hospital for two weeks and every day the same nurse would come along and open the end of the incision in my skin to relieve the pressure caused by the pooling of my blood. That was fine for the first five days, but the weekend came and she was off duty.\nApparently, nobody else knew what to do. By Monday morning, I was in agony and when she arrived, she was appalled I had not been drained during the weekend. The other thing that happened during the weekend was the end of the skin incision, which she had opened, had mostly healed meaning there was no convenient hole for the blood to be drained.\nThe nurse used a sharp pair of scissors to reopen one end of the partly-healed incision, but still the blood would not simply drain of its own accord. She used both hands to squeeze downwards onto the swollen blood reservoir. At first, there was no reaction except agonizing pain, but after a few seconds and a very hard squeeze, the stinking, coagulated blood jetted out of the hole she'd made squirting across the ceiling, down the wall and down her full-length coating her face and the front of her uniform. Despite the pain, I couldn't keep myself from laughing loud and long.\nShe then dressed the wound, directed some junior nurses to clean the ceiling and the wall while she went to clean herself. I apologized for laughing the following day when she returned. She told me she appreciated the humor of the situation so there was no \"hard feelings.\" Question: Who did the author say was appalled that they had not been drained during the weekend?\n", "labels": "the nurse", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-2b52091cc59d4dc4a22a2f3ee8f570ee"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: QUEBEC CITY \u2014 Emotions were on display when U.S. President Donald Trump met other G-7 leaders at their annual summit in Canada on Friday, but the discussions were civilized and diplomatic, according to sources.\nTrump held firm on asserting the United States is disadvantaged when it comes to trade with its European allies.\n\"The other leaders presented their numbers and Trump presented his,\" a G-7 official who spoke on condition of anonymity told the Reuters news agency. \"As expected he did not budge. This is probably not because he does not understand, but because of domestic reasons.\"\nAt a bilateral meeting later with the summit's host, Justin Trudeau, the U.S. president joked that the Canadian prime minister had agreed to \"cut all tariffs.\"\nDespite the two leaders exchanging criticism of each other's trade policies the previous day, Trump described the cross-border relationship as very good, stating \"we're actually working on cutting tariffs and making it all very fair for both countries. And we've made a lot of progress today. We'll see how it all works out.\"\nIn a subsequent sit-down meeting with French President Emmanuel Macron, Trump said \"the United States has had a very big trade deficit for many years with the European Union and we are working it out. And Emmanuel's been very helpful in that regard.\"\nMacron responded that he had a \"very direct and open discussion\" with Trump and \"there is a critical path that is a way to progress all together.\"\nCanada's foreign minister, Chrystia Freeland, confirms she met on Friday with U.S. Trade Representative Robert Lighthizer to discuss the tariffs and the fate of the North American Free Trade Agreement (NAFTA). She said Canada, however, will not change its mind about the U.S. steel and aluminum tariffs which she termed \"illegal.\"\nTrump imposed the tariffs on the grounds that weak domestic industries could affect U.S. national security.\nAmerica's closest allies, Canada, Mexico and the European Union, are introducing retaliatory tariffs. Question: Who met with Justin Trudeau?\n", "labels": "Pres Trump", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-2c3bf5cf01d1481592ddf6dd33099798"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: U.S. President Donald Trump expressed optimism about a planned meeting with North Korean leader Kim Jong Un following conversations Saturday with South Korean President Moon Jae-in and Japanese Prime Minister Shinzo Abe.\n\nTrump tweeted he had a \"very good talk\" with Moon and updated Abe on plans for his anticipated summit with Kim.\nKey U.S. leaders are expressing growing optimism that decades of hostility on the Korean Peninsula are closer than ever to coming to an end.\n\nTrump said at a White House news conference with German Chancellor Angela Merkel Friday \"I don't think he's playing\" when asked about the historic summit between North and South Korea.\nTrump added a meeting would be scheduled \"very shortly\" but didn't specify a timeline, saying up to three possible sites are being considered for the much-anticipated summit in late May or early June.\n\nEarlier Friday, Kim became the first North Korean leader to set foot in South Korea, when he crossed the border to shake the hand of South Korean President Moon Jae-in.\n\nThe two leaders agreed to work toward removing all nuclear weapons from the Korean peninsula and vowed to pursue talks that would bring a formal end to the Korean war.\n\nNorth Korea has in the past made similar commitments about its nuclear program, but failed to follow through. Asked whether Pyongyang's commitment is real this time, Trump said \"we're not going to get played.\"\n\n\"This isn't like past administrations. We don't play games,\" said Trump, adding that previous administrations had been \"played like a fiddle.\"\n\n\"We will come up with a solution, and if we don't we will leave the room,\" he said.\n\nU.S. Defense Secretary Jim Mattis also expressed hope Friday that talks with North Korea will bear fruit.\n\"I can tell you that we are optimistic right now that there's opportunity here that we have never enjoyed since 1950,\" Mattis said before a meeting at the Pentagon with the Polish defense minister.\n\n\"I don't have a crystal ball,\" he added. \"So, we're going to have to see what they produce.\" Question: What was trump's tweet after the meeting?\n", "labels": "a very good conversation with both the leaders", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-2e4df66f60b84b428aab94bf74d2c344"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: My mom has been married three times, (nothing against her) and the first two times ended up a total mess. My dad, the first one, ended up just being a shot gun wedding. He was abusive and too young to be married with a child. They got divorced shortly after. A couple years later she met a man named Rob. He was fun, loving, kind, great with me, everything she had been looking for. They dated for.. a few months I think? Maybe a year. Then they got married and we moved to Texas. They were married for 5 years and she was just as miserable those 5 years. He was mean, he lied about everything, he was addicted to porn and stole from his job. He was controlling and wouldn't let anyone else handle money. It was a rough house to grow up in and hard on my mom as she tried to keep me from the abuse. Eventually he cheated on her with one of her best friends and she kicked him out. I didn't even notice he was gone for a week because he was so absent in my life. He apologized, turned into the man she first met and they tried again. He again cheated on her and she left him again, that time for good. They ended up finalizing the divorce a year later. I remember her telling me that she confronted him about his change of character and he had told her \"Everyone puts on an act at first.\" As if it was a normal thing. He had depression and I believe he wanted everyone to be just as miserable as he was. After they got divorced he had on and off again relationships, got a girl pregnant and got married, then she divorced him. He lived with his cousin for a while. The only stability he ever had was with my mom and I. I think that's why he wanted to leave. Stability meant he had to become an adult and he didn't want to have to take responsibility. Question: Who was abusive and too young to be married with a child?\n", "labels": "Her dad", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-b3bbfb79716d4d0da0ce4299e4cff3b6"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: 2018 is a congressional election year in the United States, and President Donald Trump is urging his supporters to get motivated to vote as both parties prepare for November.\n\"The people who voted for us become complacent a little bit, they are happy,\" Trump told supporters during a recent speech on tax reform in Cincinnati. \"They sort of take it for granted, they sit back and then they get clobbered because the other people are desperate and they get out, and they have more energy.\"\nTrump predicted that Republicans will do better than expected in November when all 435 seats in the House of Representatives are at stake and 34 of the 100 Senate seats.\n\"I think because of what we've done, because of the tremendous success we've had, I have a feeling that we are going to do incredibly well in '18, and I have to say this, history is not on our side,\" he said.\nThe president is right. History is not on his side. Midterms are typically unkind to the president's party, which on average loses about 30 House seats and a handful of Senate seats.\nThe losses are worse if the president's approval rating is below 50 percent, which could be the case this year. Trump's approval rating has ticked up in recent weeks, but the average has him just above 40 percent, not a strong position with a midterm looming.\n\"You know, you have a very unpopular president. And if Democrats take a broad path, they should win lots and lots of seats,\" said Jim Kessler of Third Way, a center-left advocacy and research organization.\nGallup has noted historically that presidents with an approval rating above 50 percent lose an average of 14 House seats in midterms, while those below 40 percent can expect to lose about 36 seats. Democrats need to gain 24 seats in the House and two seats in the Senate to regain the majority in both chambers. Question: What issue did the person Trump address?\n", "labels": "Macron", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-b728632195be471b84362b7f78be3435"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Everybody knew Shandor Marley's mother liked to spend more time flirting with serial killers than she did taking care of things at home. So when her son went round with an air rifle popping his neighbours like they were allotment pigeons, they figured all the boy really needed was a bit of attention. Shandor finally flipped one day after finding out the inbred farm boys who made his life hell most days were in fact his half-brothers. He returned home to confront his mother only to find her pritt-sticking press cuttings of the Mad Killer into a brand new scrapbook and seemingly not in the least bit concerned by her son's unexpected discovery. Luckily Shandor's shooting spree didn't do too much damage beyond putting one of his so-called new father's eyes out, which could be considered doubly unfortunate given as the so-called new father in question owned the old byre Shandor and his mother called home. After Shandor had spent enough time shut away in borstal with the kind of kids who would've sent his mother all weak at the knees, he went straight home half-expecting the byre to be boarded up with a blu-tacked note saying she was lugging her stupid arse to Texas to spring her latest psycho boyfriend from his cell on death row. Shandor was thinking how much that excuse would sit well with her as he scuffed up the stone track to the byre with a black bin-bag of belongings and a sunburned arm across his forehead to shield himself from the glare. The place looked pretty much the same as he remembered it, only three years worse off. The strip of grass outside the back door was parched yellow and paint peeled around the blown-out windows. He had a hand on the door before he knew for sure it was still lived-in. He flapped thunderbugs off his forearm and creaked open the door. The kitchen stank of stale cigarettes and the dregs of spirit bottles. Question: Who shot with an air rifle?\n", "labels": "Shandor", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-866c4707f0b047c6ab9a3bee2a03a9ca"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: The two basic things you have to do to have a successful weight-loss journey is consume fewer calories (eat less) and exercise more.  It is a pleasure to report that it is possible to do both of these things without feeling deprived or overwhelmed. Just add these two little extras for help with weight-loss success.\nAdd a Little Extra Exercise to Your Daily Routine\nA simple way to increase the level of exercise during your week is by adding a little more effort into your daily activities \u2013 the things you are going to do anyway.\nFor example, we all have to do housework right? So, that is an easy one! Instead of taking your time and working at a leisurely pace, work faster.\nAs you sweep and mop the kitchen floor, put some oomph into it. Work at a steady, brisk pace. Stretch your arms and use your muscles. This will definitely increase your heart rate, and burn more calories.\nWhen it's time to clean the windows, reach up as high as you can \u2013 stretch to the top of the windows and be sure to get into the corners. Then, buff the glass to a high sheen, which will involve a little more elbow grease than normal.\nWhen you scrub out the tub and the shower, do it with energy and a song \u2013 make those tiles shine.\nPlay fun music and dance when you sweep, mop or vacuum.\nWork for longer periods of time \u2013 20 to 30 minutes of active cleaning is much better than 5 minutes here and 5 minutes there. It gives you more time to get your heart rate going and a better boost to your metabolism.\nThese are things you can do to keep your house sparkling and build the new you. So, start throwing in an abundant amount of gusto for extra calorie burning and body shaping. Question: Who has to do housework?\n", "labels": "we all have to do housework", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-0c18607f38cf43f9b85ac293467a9980"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I referenced this in my answer to Why do guys pretend they don't understand when the girl they like gives them all hints of liking them too?\nWhile attending my MOS AIT in the US Army (good lord, was that 25 years ago???), a few of us had a hotel party. It didn't get too crazy as it was mainly to get off post. If I remember right, after some folks left, there was one couple, a couple girls (maybe 3?), and myself who stayed over. I had known them all for a month or so and had spent a ton of time hanging out at the barracks or around the school area. The couple took one bed, the girls took the other, and I took the floor at the foot of the girls' bed.\nAbout the time everyone started to nod off, one of the girls woke me, asking if I would share the blanket, as the bed was too crowded. She and I had both recently gotten engaged to people two plane flights away and had been nothing more than friends previously - with no hint of anything else\u2026 I thought nothing of it and said sure.\nAfter a few minutes, she said she couldn't sleep and asked if she could snuggle up a little. I thought nothing of it and said sure. I started to think\u2026 hunh\u2026 this is peculiar\u2026\nAfter a few more minutes, she asked if I minded if we kissed a little. At that point, I started to get the idea\u2026 but that was as far as I thought anything was going to happen as I thought, hunh, OK, maybe she misses her fiance. I know I do.\nThen we progressed to (very quiet) sex at her request. As far as we knew, everyone else in the room was asleep - at least they never hinted at knowing.\nWe dated another month or two while we were both there.\nI was so clueless as to how she felt and it took FAR too long to figure out what was happening. Question: Who kissed the girl?\n", "labels": "the author", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-7f33f78ff8e24f91905f9d3ba78fd58b"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: In the 1970s I was a student nurse in psychiatry. I was rostered to the brain injury ward in a chronic hospital, where the patients had severe brain damage from tumours, car accidents, strokes, metabolic diseases, degenerative diseases, and alcoholism. Only about half were ambulant. Most had severely impacted recent and long term memories. They could not bathe or feed themselves. The majority sat most of the day in chairs lined along the sides of the day room. They were spoon-fed meals and wheeled into the toilet.\nOne of those patients was Connie S. She was maybe 55 yrs old and she spent a lot of the day screaming in her chair. She could not speak, walk, or cooperate. One nurse was very impatient with her and once I heard that nurse say to her, \"You think the water is too hot, do you? Then have it cold!\" as she bathed her in cold water. I remember standing up for her to that nurse.\nI worked that ward for over a year and then, one day, just like that, Connie S. woke up. She suddenly began speaking and walking. She apparently remembered most of the things had had happened to her in the ward. Soon, she walked right out of that ward and never came back. As she left, she appeared dignified and so happy, so relieved.\nI was too junior at that stage to know what her diagnosis was supposed to have been, but no-one expected her ever to leave. No-one left that ward. It was the end of the line. I remember being really glad that I had stood up for her and thinking how ashamed the nasty nurse must have been.\nIt is now many years later and I often think of this woman and wonder how she fared in her post-hospital life. Her name is not common, but every so often I meet people with the same name and ask them if they know of a relative to whom this happened, but, so far, no-one has known of her. Question: Who is the narrator of this episode?\n", "labels": "The former student nurse who stood up for the 55-year-old woman, Connie", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-d0f5c58b57b641ab90130120ca86dac7"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: In this article, I'll address a real mainstay of modern medicine: laboratory tests that require drawing blood.\nThis is sometimes referred to as \"checking labs,\" \"doing bloodwork,\" or even \"checking blood.\"\nMost older adults have been through this. For instance, it's pretty much impossible to be hospitalized without having bloodwork done, and it's part of most emergency room care. Such testing is also often done as part of an annual exam, or \"complete physical.\"\nLast but not least, blood testing is usually \u2014 although not always \u2014 very helpful when it comes to evaluating many common complaints that affect aging adults.\nFatigued and experiencing low energy? We should perhaps check for anemia and thyroid problems, among other things.\nConfused and delirious? Bloodwork can help us check on an older person's electrolytes (they can be thrown off by a medication side-effect, as well as by other causes). Blood tests can also provide us with information related to infection, kidney function, and much more.\nLike much of medical care, blood testing is probably overused. But often, it's an appropriate and an important part of evaluating an older person's health care concerns. So as a geriatrician, I routinely order or recommend blood tests for older adults.\nHistorically, laboratory results were reviewed by the doctors and were only minimally discussed with patients and families. But today, it's becoming more common for patients to ask questions about their results, and otherwise become more knowledgeable about this aspect of their health.\nIn fact, one of my top recommendations to older adults and family caregivers is to always request a copy of your laboratory results. (And then, keep it in your personal health record!)\nThis way, if you ever have questions about your health, or need to see a different doctor, you'll be able to quickly access this useful information about yourself.\nIn this article, I'm going to list and briefly explain the blood tests that are most commonly used, for the primary medical care of older adults.\nSpecifically, I'll cover four \"panels\" which are commonly ordered, and then I'll list six more blood tests that I find especially useful. Question: Who is a a geriatrician?\n", "labels": "the author", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-97013b853d394f2bb219dd836bce021a"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Personally I enjoy doing things outside. You know, the good ol' nature.\nOne time, me and my buddy Alex and some friends decided we were going to go camping. (I know, basic camping story. Well not exactly.) We planned on going for the weekend. Got to the spot and put up our tents like normal campers. But knowing myself and my friends we wanted to drink a couple beers and do some fishing. We did just that. Later that night we had started out camp fire and cooked up some links before bed time. My drunk self wanted to keep the fire going all night to prevent wild animals from coming t our sight. Well at least I thought that'd help. So I needed a bunch of wood to do so. Everyone was asleep by this point but me. So I took myself out into the woods a little deeper to grab a full broken down tree. I thought to myself, \"Well if I want to utilize all of this wood I'm going to need to break it into smaller prices right?\" Wrong. Well at least it was wrongful of how I planned on doing it. I attempted to break the tree in half by throwing it against another tree, as if I were as strong as the hulk or something. Once I chunked the tree at this tree I messed the entire vacation up. The tree came down on my knee and crushed it. I was in so much pain. I realized that I messed it up pretty bad so I laid there for a second trying to get back to my feet. The next day I couldn't apply any pressure and couldn't walk at all. I was dirty and smelly and needed some serious help on my leg but I was too far from any civilization. Worst nature experience ever! Question: Who went fishing?\n", "labels": "The writer of the story, Alex and some friends", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-3dd64afec74140d7afe1ee44e9a2ca74"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: This is a beauty myth that I have been wanting to bust for a while as I am surprised how many people actually believe it. I am quite vain so hate having visible grey hairs. Having naturally dark brown hair means that even a single grey hair is very noticeable. From the age of about 22 or 23 I discovered that I had about five grey hairs floating about. As soon as I could see them I'd pull them out. Then, a few months later when they were rearing their ugly heads again - pluck, out they'd come again! Up until I was about 27 or 28 I only had these 5 grey hairs, well that was all I could find anyway. Then from 28 onwards they have been inviting their friends and relatives to move in and I am slowly losing the plucking battle (side note: this increase in grey hairs at 28 was also the year that I got married...I wonder if their is any correlation between getting married and going grey??).\nWhenever I was having a conversation with someone about grey hairs and I'd mention that I pull mine out, they'd look at me horrified - 'you can't do that, seven more will grow back in its place' they would all warn me. Even my hairdresser was horrified that I plucked my grey hairs. One day when she was straightening my hair I could see a stray grey sticking up and it was driving me crazy. I asked her to pull it out and she refused saying that I'd end up with more if she pulled it out.\nI have never believed this old wives tale, mostly because for five years I kept plucking my greys yet they didn't increase in number. Plus it made no sense to me. Why would plucking greys cause more greys to grow when the same is not true for your coloured hair. Imagine if it were true - that would mean that the cure for baldness would be to pluck out your hair as each hair you pluck causes seven more to grow in its place - doesn't really make sense, does it? Or worse, each time you waxed your legs, seven hairs replaced each pulled one - what state would your legs be in now? Question: Who was having a conversation about grey hairs\n", "labels": "The narrator", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-2a4dcafcf3f44412a8e53cbe5eb33ae4"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: When asked to define ourselves we often use broad brushstrokes. Without thinking we consult our internal list of \"things that make me, ME\" and find ourselves recalling words like \"creative, outgoing, photography, guitar\" before we've even had a chance to fully process the question. But how much does this internal list define us?\nI believed that my internal list was the best representation of myself until I read a quote by Annie Dillard that states: \"How we spend our days, is of course, how we spend our lives\". This quote hit me like a punch in the gut, it's blatant truth so indisputable; how I spent my days, regardless of what I told myself about myself, was ultimately who I was. Or at the very least would be how I had spent my life. This is why, when completing my self portrait, I decided to focus on the everyday.\nWithin my self portrait I wanted to present the viewer with a familiar yet abstract sense of reality through which we get to see amalgamated glimpses of the everyday acts that define me, rather than a linear narrative or a simple re-telling of \u2018a day in the life'. Thus combining to create a picture of: my daily life, through an abstracted version of \u2018the everyday'.\nTo create a sense of \u2018the day' or linear progression of time I segmented my video with four still images of the sky in various stages of daylight (morning, midday, afternoon, evening) that match the lighting seen in each concurrent video segment. The everyday acts that define me were presented in a series of short video segments that include scenes of me catching the tram, recording music and riding my bike. To disrupt the sense of linear narrative the visual segments are bluntly edited together, with nothing linking the sequential shots and a quite abrupt ending. I also attempted to create an overall sense of confounded time and space by overlaying audio from certain video segments onto others. Long, singular focus, handheld shots were also used to enhance the sense of voyeuristic glimpses. Question: Who made a self-portrait?\n", "labels": "The narrator", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-75f86c9611ea43939b912d2b443f39c0"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: Nothing I can think of.\nI've unwittingly embarrassed my daughter by stopping by my daughter's place too often to drop things off, I guess.\nI guess I embarrassed my daughter when she was living with her boyfriend by stopping by with healthy food and favorites groceries and other things I thought she needed and might like. The boyfriend always told me the groceries were a help. My daughter complained she already had too many clothes and if I tried to surprise her with something new.\nI think my husband and I embarrass our daughter now practically no matter what we do just because we're parents and maybe because we're older in our 60's and too happy to see her and too eager to please and we inadvertently treat our daughter like she is still a kid although she will be 22.\nI've never had a deliberate favorite thing to do except maybe by accident when I used to share too many photos of the cats when I used to be on FB?\nParents can't help but embarrass their children beyond a certain age maybe?\nI can picture if we had an in the ground pool and my husband and I were continually doing silly moves and cannon ball jumping in I think or even simply lazing around in ridiculous color and style too teeny bathing suits for our age that too would embarrass my daughter.\nWhen push comes to shove parents like myself don't have to be too inventive or think much to come up with things they might do that embarrass their kids.\nMy daughter told me she could not stand to go to the movies with me because I used to cry during movies. She never forgets one time I got emotional during a movie \"Spirit\" my husband and I took her to when she was little. I tried to hide this but my husband blurted out \"You aren't crying, are you\" like it was the dumbest thing to do and for the entire movie going audience to hear. Sheesh! Question: Who cried during the movie Spirit?\n", "labels": "Mom", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-4ef6313172ec4e4ba6cf3f7aaeb0bdc4"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: As someone diagnosed with bpd this question kinda tugged at my heart, for a few reasons.\nFrom my understanding, the core of the disorder is an unstable sense of self and an inherent shame or worthlessness.\nBefore I was treated I thought I just needed someone else, the right person to come along to love me in just the right way, being mindful of trauma and never triggering my symptoms.\nI was living in a fantasy world.\nYou cannot expect another person, a whole person with a sound mind and stable to sense of self to subject themselves to the circus act of our lives. We can't even manage it ourselves!!\nI have been in two long-term relationships, and dozens of short ones six months or less. One of the two began when I was very low and lasted a very toxic 3 years. I entered treatment during that relationship, which resulted in it's demise. I was much happier afterward.\nThe second relationship began after I completed treatment. We have seperated twice during the past 2 and a half years, and our relationship is currently rocky as well. But who I am in the relationship has changed.\nI am no longer the girl who needs extra reassurance daily that he's coming home from work. I can breathe when he goes to hang out with his friends. I am not threatened by every waking thought of his not being about me. Instead I am the woman that validates him and myself in arguments, and I put respect over everything. Of course I lose my temper. Self improvement is a constant process.\nBut, to avoid hurting anyone you love, you should definitely talk to a counselor if you are looking for another person to help you :) For family members/lovers/caregivers, it's stressful and often results in a lot of resentment in the relationship!\nBe safe! Question: Who does the author no longer worry about coming home from work?\n", "labels": "Her boyfriend", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-eb4f045088654090b37d569f4c6f5454"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: This is part two of a four part series on Inner Wisdom Eating (IWE)\nThe 4 steps of Inner Wisdom Eating (or eating like a thin person) are exactly the same as those promoted by Intuitive Eating.\nEat when you're hungry\nEat what you want\nEat consciously\nStop when you are full\nThe difference lies in the approach and the detail. I will discuss each step in this four part series.\n\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\nEAT WHAT YOU WANT\nDOES YOUR FOOD SING TO YOU?\nHave a look in your fridge and cupboards. Does the food in there sing to you, does it call your name, and are you looking forward to eating it? Do you eat it because you enjoy it or because you think you should?\nBy choosing only to eat what sings to me, I have discovered (again!) that I am not a big fan of meat and would rather eat a predominantly vegetarian diet. Occasionally I'll eat chicken leg and I love bacon but beyond that I'm not fussed.\nFOOD DOES NOT HAVE A VALUE\nThere are no good and bad foods. There are no trigger foods or forbidden foods. There is nosuch thing as junk. There is a place in your diet for your favourite indulgences in moderation. Believe me that when you let yourself eat cheesecake, chocolate and hot chips, the novelty soon wears off. I mostly eat unprocessed food, not because it's \"good\" but because I love the taste and prefer how it makes me feel.\nYOU CAN STILL EAT DIET FOOD\nLow fat ice-cream, Diet Coke and protein powder are still in my diet but I eat them because I prefer the taste over their \u2018real' counterparts. I can still ask for dressing on the side and no butter on my sandwich not because I'm counting calories but because I can't see the point in eating food I don't actually want. Question: Who says he or she eats mostly unprocessed food because he or she loves the taste?\n", "labels": "the writer of the story", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-38203c7e14084119a267ae3faca2994b"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: I was once distinctly unsettled by a utility man who called to read the gas meter. We were living in an old house at the time and I was home alone with the youngest child (who was around six months old), balanced on my hip as I opened the door. The visitor looked genuine, dressed in the expected uniform. He was around 6.3 and probably not the most tidily presented utility man I'd met, but I believed him to be genuine and willingly invited him in out of the foul weather. It was pouring down outside, a freezing cold winter's day. As I closed the door I remembered that I should have asked to see his company I.D. , so as I opened the meter cupboard and switched on the light, I politely said, 'Oops, I should have asked to see your I.D. if you don't mind?. He stood there in front of the door and made no move to produce his card or do anything in fact. He just glared down at me in the most menacing way and said in a very sinister voice 'Isn't it a little bit late for that now? What are you going to do if I tell you I don't have it?'.\nThere was an embarrassed silence. He continued to stare down at me without making a move for what seemed like minutes but was probably seconds. He didn't produce his I.D., instead he almost grudgingly read the meter as I looked on and then he swiftly left without saying goodbye. I closed the door and locked it, and then took a while to get my pulse rate back to normal and to realise I'd just learned a very big lesson. Such a creepy individual, I didn't make that mistake again. Question: Who was 6 foot, 3 inches?\n", "labels": "The utility worker.", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-e892364348e94705b9985697962e7e2e"}, {"text": "Definition: Write the right answer to the question based on the context passage.\nInput: The U.S.-led coalition in Afghanistan dropped more bombs during the first quarter of 2018 than it has in the same period in any of the last 15 years, according to Pentagon data.\nThe increased bombing is the latest evidence the 17-year-old war in Afghanistan is significantly intensifying since U.S. President Donald Trump announced his new military strategy for the country in August.\nCoalition planes dropped 1,186 weapons on Afghanistan during the first three months of 2018, according to figures released by U.S. Air Forces Central Command. The previous record (1,083) was set during the height of the war in 2011. The U.S. has not released 2001 to 2003 airstrike data.\nThose figures do not include activity by the Afghan Air Force (AAF), which has stepped up its aerial bombardment since gaining the ability to conduct airstrikes two years ago. The AAF carries out between 4 to 12 airstrikes every day, according to the Afghan Ministry of Defense.\nIf recent trends are any indication, 2018 is likely to get even more violent. Fighting traditionally picks up during the warmer months, and the coalition has expanded its bombing campaign against the Islamic State group, as well as narcotic labs and other Taliban revenue sources.\nBut there is little indication the expanded airstrikes are helping end the conflict, says Thomas Johnson, an Afghanistan specialist who teaches national security affairs at the Naval Postgraduate School in Monterey, California.\n\"It's basically a tactic of desperation,\" said Johnson, author of Taliban Narratives: The Use of Power and Stories in the Afghanistan Conflict. \"There's never been an insurgency in history that's been defeated purely through air power.\"\nEven high-level U.S. military officials concede the conflict remains a stalemate. According to the latest U.S. military estimate, the Afghan government controls 56 percent of Afghanistan's districts, with insurgents controlling or contesting the rest.\nInsurgent attacks also have continued. Nearly 60 people died Sunday when an Islamic State suicide bomber attacked an election identification card distribution center in Kabul. The Taliban has also rejected October's scheduled parliamentary elections as \"fake,\" and stage-managed by \"foreign occupation\" forces. Question: Who issued the strategy for the US military?\n", "labels": "Pres Trump", "task_name": "task887_quail_answer_generation", "task_category": "question_answering", "id": "task887-25685243dfa344f7a052bacd11278a12"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 101 dalmatians\n", "labels": "Who wrote the 1956 novel '101 Dalmatians'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9ed2f1e849ac4c78bf8f0f756bcb0b54"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1908 summer olympics\n", "labels": "The 1908 Summer Olympic Games were hosted by which European city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e015a85c9ca42aa959db937662c00c9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1928 winter olympics\n", "labels": "In which winter resort were the 1928 Winter Olympics held?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bb1703b04c354124a2faab5cc76243c8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1956 grand national\n", "labels": "Which writer rode Devon Loch in the 1956 Grand National?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0df814f88f784cc897c1417776fcf14e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1960 summer olympics\n", "labels": "The 1960 Summer Olympic Games were held in which city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7c7c7dde2c73489eb5b8ad656c7ce49a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1972 summer olympics\n", "labels": "Which Russian man won both the 100 and 200m gold medals at the 1972 Olympic Games?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ac343b842a934150be8b2d5c9be0d971"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1972 summer olympics\n", "labels": "In the final of the Basketball competition at the 1972 Summer Olympics, the last 3 seconds of the game were ordered to be played again, which resulted in which team being awarded the gold medal?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ac343b842a934150be8b2d5c9be0d971"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: united states presidential election, 1984\n", "labels": "Which American President used the slogan 'It's Morning Again In America' for his 1984 Presidential campaign?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6a073a10b4a6456993949306ccf3d502"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1988 summer olympics\n", "labels": "Which Scot won a Gold medal at the 1991 World Athletics Championships and a Silver medal at the 1988 Olympics in the 10000 metres - she also won the London Marathon in 1996?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d2b714f52bc34b66ade561709cb718d1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1988 summer olympics\n", "labels": "Where were the 1988 summer Olympics held?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d2b714f52bc34b66ade561709cb718d1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 1995 grand national\n", "labels": "Jenny Pitman was the trainer of which 1995 Grand National winning horse?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-de2b218164b448b9957f3fd516294596"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: world war i\n", "labels": "Which 1st World War battle of 1916 saw 60,000 British casualties on the first day The battle lasted from July to November, resulting in a British advance of 12 kilometres.?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-85c3bf13f4f64f4ea52d52094fd666b8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 20,000 leagues under the sea\n", "labels": "Who wrote `20,000 Leagues Under The Sea`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a7b8a437cac149feb41bd336547023be"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: twenty thousand leagues under the sea\n", "labels": "In the novel `20,000 Leagues Under The Sea` what was the name of the captain of the submarine Nautilus?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4dc4d4ba4f684d968482ebfc59c59f7d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2000 summer olympics\n", "labels": "Which sprinter lit the Olympic flame at the 2000 Summer Olympic Games in Australia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-81aa460797af45258bd6919abb20f6f5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2001: a space odyssey\n", "labels": "Who directed 2001: A Space Odyssey?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-53c929c068834abfa8099acd469c500a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2004 summer olympics\n", "labels": "Where were the 2004 Summer Olympic Games held?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3c0419f48a444165bd7dbf7df269d4ac"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2004 summer olympics\n", "labels": "What is the name of the major Greek stadium in Athens that was the venue for the opening and closing ceremonies, athletics events and the football (soccer) final at the 2004 Summer Olympics?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3c0419f48a444165bd7dbf7df269d4ac"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: super bowl xxxviii\n", "labels": "Which singer had a wardrobe malfunction at the half time show at the 2004 Super Bowl?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8b7cfc0e43314b9bb6576c4acce85f6e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2007 nobel peace prize\n", "labels": "Who won the 2007 Nobel Peace Prize?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e8403e483eaf43118b63ceac48c7e32f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2008 summer olympics\n", "labels": "Which athlete became 'The world's fastest man' at the 2008 Beijing Olympics?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b64107a61bf46b98deb1680832d3718"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2008 summer olympics\n", "labels": "In the Beijing Olympics, Britain's only Boxing gold medal was won by whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b64107a61bf46b98deb1680832d3718"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2009 l'aquila earthquake\n", "labels": "L'Aquila, scene of the 2009 earthquake, is the capital of which central Italian region?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e1ebc5d6b46b490a827161d220762cb3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: super bowl xliv\n", "labels": "Which team defeated the Indianapolis Colts to win the 2010 Super Bowl?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f42d5a8e47f84990a624f872ba9b3cda"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2010 winter olympics\n", "labels": "What city hosted the 2010 Winter Olympics?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3a15aba3fcda47cbae97ac4093b19996"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2010 winter olympics\n", "labels": "Also a three-times World Champion, which American skier won the gold medal in the Women's Downhill at the 2010 Winter Olympics?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3a15aba3fcda47cbae97ac4093b19996"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2012 summer olympics\n", "labels": "In the 2012 Olympics, who won the gold medal in the Men's Singles at tennis?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-37ac1a8508d7431bb7bfb374c629b3e6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2012 nobel peace prize\n", "labels": "What organization won the 2012 Nobel Peace Prize?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7ee29fd49839431789923d34043a146f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2012 tour de france\n", "labels": "Which British cyclist won the 2012 Tour de France?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-35cee1650f0a44a4a7a65979d56fdaee"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 2014 fifa world cup\n", "labels": "Which South American country will host the 2014 FIFA World Cup?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bf5e19fb0aff48c495df27b16a110625"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 20th century fox\n", "labels": "What 1965 film was credited with saving 20th Century Fox from bankruptcy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ced9072b9de6414aa94539cf41c3b36e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 21st century breakdown\n", "labels": "'Dookie' and '21st. Century Breakdown' are albums by which American rock band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-45479981591d4c9b8144fccc0c9190fa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 21st century breakdown\n", "labels": "Who released an album in May 2009 called 21st Century Breakdown?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-45479981591d4c9b8144fccc0c9190fa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: khaju bridge\n", "labels": "In which country is the spectacular 1650 stone-built 23-arch Khaju Bridge?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fb1ed2219e2848e2876b9552435a481c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 30 odd foot of grunts\n", "labels": "Which famous actor is the lead singer with the rock group 30 odd foot of grunts?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1e966b1f97a149a193ba6140c49a33e3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 3 words\n", "labels": "Which British singer released a 2009 album entitled '3 Words'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e19d6c07b494485eaea825c36e2703d6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the simpsons house\n", "labels": "Which fictional family live at 742 Evergreen Terrace, Springfield?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4b5284773b7343ed8bdbb3ecf24ac69d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: 9 to 5\n", "labels": "Which singer/songwriter wrote the musical '9 to 5'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a5069b49fb9e4f6a85055c0f9926f8d5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aaron paul\n", "labels": "Played by Aaron Paul, who was Walter White's co-protagonist in 'Breaking Bad'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e9d6dca4601c43dea701ee1f9e29e79c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abba\n", "labels": "With which song did Swedish pop group Abba win the 1974 Eurovision Song Contest?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cdda21f804e1453d998d009171e263f3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abba\n", "labels": "What was Abba's last Number One single in the UK?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cdda21f804e1453d998d009171e263f3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abc\n", "labels": "ABC and NBC are TV networks in which country ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f9ded97eb22e42c4b83d1216210e29f1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abebe bikila\n", "labels": "Abebe Bikila was the only athlete to win the Olympic marathon twice and in successive Olympic games. What country did he represent?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e754423949454cc8b7e3521f72704275"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abhisit vejjajiva\n", "labels": "In 2010, Veera Musikapong, Abhisit Vejjajiva, Khattiya Sawasdiphol, Suthep Thaugsuban, Prompong Nopparit, Colonel Sansern Kaewkamnerd, Natthawut Saikua and Buranaj Smutharaks were prominent in the politics of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ecff5b440a304f57b501547e9f1d2d20"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abracadabra\n", "labels": "Abracadabra (1982) and The Joker (1990) were big hits for which group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1b0e17748b3a42c3a0055dc1fe63ebe5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abraham\n", "labels": "In the Bible, who was the son of Abraham and Hagar?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7fa439776b34fb7b785987309d365e3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abraham\n", "labels": "In the Bible, who bore Abraham a son called Ishmael?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7fa439776b34fb7b785987309d365e3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: abraham lincoln\n", "labels": "Who immediately succeeded Abraham Lincoln as President?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-95f452f15847410799e14e621a82c952"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: absolutely fabulous\n", "labels": "Which actress played Mrs June Monsoon in TV's 'Absolutely Fabulous'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-00f1c25695054f5ba3fc949a1806fffb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best original song\n", "labels": "In the 2013 Oscar awards which singer won Best Original Song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-52fc69b2048945ba8ec3123a54dd31e3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best picture\n", "labels": "Which is the only X rated film to win an Oscar for Best Picture?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d37305de9bef4ef18517646e80139ed5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best picture\n", "labels": "Which 1972 movie, Oscar nominated for best picture, was advertised by the tag-line Four men ride a wild river, a weekend turns into a nightmare?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d37305de9bef4ef18517646e80139ed5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best picture\n", "labels": "In 2009 what became the second animated film in history to be nominated for a Best Picture Oscar?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d37305de9bef4ef18517646e80139ed5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best picture\n", "labels": "When the musical Chicago won the Best Picture Oscar in 2002 it was the 1st musical to do so since which 1968 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d37305de9bef4ef18517646e80139ed5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best picture\n", "labels": "What was the most recent film to win a best picture Oscar which was predominantly black and white?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d37305de9bef4ef18517646e80139ed5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alternating current\n", "labels": "Because of his advocation for the use of direct current (DC) for electric power distribution, Thomas Edison developed a bitter rivalry with which other genius who advocated alternating current (AC)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c260cc7548474e6796cb88847f2d284b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: achilles\n", "labels": "Achilles and Hector appear as characters in which Shakespeare play?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b1a4649c83d9427f906d2a613ff5aad9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: achilles\n", "labels": "Who was the mother of Achilles in Greek mythology?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b1a4649c83d9427f906d2a613ff5aad9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: zeno's paradoxes\n", "labels": "Which philosopher is famous for his paradoxes, most notably Achilles and the tortoise?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-33bdb71a6ce24e938d9350683e187ff7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aconcagua\n", "labels": "In which country is Aconcagua located?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-67835820fc3f46059c9e6babee9a3dd3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: action comics\n", "labels": "Which comic character first appeared in Action Comics #1 in June 1938?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a627792769f94b959dee8fcfa5f7aa89"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: actor\n", "labels": "Which actor was the first director of the National Theatre ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-51ecead512e54d538ebc78be80a5b79a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: actor\n", "labels": "Which comedian and actor presents the Radio 4 programme The Unbelievable Truth?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-51ecead512e54d538ebc78be80a5b79a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: adam\n", "labels": "Who was the second son of Adam and Eve and was murdered by his brother?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b5189bdde9aa47b1af905b1d9201a562"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: adderall\n", "labels": "What is Adderall used to treat?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b20fbcfc1aac4ef8922379fd1c4730cc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: addicted to love\n", "labels": "Which actress starred in the films `Addicted To Love`, `City Of Angels` and `Courage Under Fire`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-16348d2fa0844a298f7ef140ef6eb15d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: addis ababa\n", "labels": "Addis Ababa is the capital of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-069b1b6c66534717ba1ab16ee857489e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: attention deficit hyperactivity disorder\n", "labels": "What ADHD drug became heavily prescribed?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-22673c5e263f49f5bb91490b38e26ddd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: guru granth sahib\n", "labels": "Which religion's holy book is the Adi Granth?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ce401fe901964d0586555325e8bd801d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: adrian chiles\n", "labels": "Which weekday TV programme is hosted by Adrian Chiles and Christine Bleakely?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-befc102f19ee4d20b65f80c849e83977"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ade edmondson\n", "labels": "What was the name of the 1990s TV series starring Rik Mayall and Adrian Edmondson as flatmates Eddie and Richie?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5c5e41ede4f5470da2f2034eed7ff4ca"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: huckleberry finn\n", "labels": "Who wrote `The Adventures Of Huckleberry Finn`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c409b41bc17640afb4950c369843e715"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: afonso iii of portugal\n", "labels": "The borders of which European country, that were set under the reign of Afonso III (1248 to 1279), are the same today?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5865e4d9c6bd46fd877247ea20623711"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: africa\n", "labels": "In which country is the most easterly point of Africa?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bf8c6fcfde3a45d49e78f1ea337c53bc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: africa\n", "labels": "What is Africa's 2nd-largest country, abbreviated to DRC?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bf8c6fcfde3a45d49e78f1ea337c53bc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: african bush elephant\n", "labels": "African bush and African forest are species of which animal?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-10e166790b5343e7979f6c8bc1db8408"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the african queen\n", "labels": "Who directed the film The African Queen?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a8f70dba9d5548a0982332bae33c7932"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: agamemnon\n", "labels": "Who, in Greek myth, was the daughter of Agamemnon and Clytemnestra, sacrificed at Aulis by her father to ensure a safe passage to Troy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b73b284e4b5442de96c9fa4e4c003f29"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: agneta andersson\n", "labels": "Olympic gold medallists Vilhelm Carlberg, Gunde Svan, Agneta Andersson, Sixten Jernberg, Tomas Gustafson, Thomas Wassberg, Ingemar Stenmark, Gert Fredriksson, Henri Saint Cyr, Alfred Swahn, Eric Lemming and Oscar Swahn represented which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b22e300cf6f343019f5060db04744864"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ahab\n", "labels": "Who, in the Bible, was the wife of King Ahab?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1539a8db31424be9a0aec985ba545d56"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ahura mazda\n", "labels": "In which religion is there one god called Ahura Mazda?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2a09a134df84472a93ff9cc4098ba55a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ain't no doubt\n", "labels": "Which actor turned singer had a UK number one hit single with `Ain`t No Doubt` in 1992?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-22d0f6483bae4bdc907342c67db136b4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ainu people\n", "labels": "The Ainu are an aboriginal people from which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ab7baf07318e4adb8a7c87cd563605e6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: air force one\n", "labels": "Who played the US President in the 1997 film 'Air Force One'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5b6f85c6a4b34446997072555955a894"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: air on the g string\n", "labels": "Who composed the Air for the G string (init and name)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-90ed9c9daecd4845a5d0411d60e47624"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: airline\n", "labels": "Which airline has flight FR9146 from Liverpool to Barcelona and flight FR 9862 from Liverpool to Malaga?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a7afd43763b4f5ebd0205db3f50706d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: airline\n", "labels": "Which Dutch airline merged with Air France in 2004?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a7afd43763b4f5ebd0205db3f50706d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aladdin\n", "labels": "What is the name of Jafar's parrot in Aladdin?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-25e56d43e7424a4a84be48d18a1f9ecb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aladdin\n", "labels": "Which lyricist who has worked with Elton John and Andrew Lloyd Webber won an award for A Whole New World from Aladdin?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-25e56d43e7424a4a84be48d18a1f9ecb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alamogordo, new mexico\n", "labels": "The detonation of the first atomic bomb, Trinity, ushered in the Atomic Age, when the bomb was tested outside of Alamogordo in what US state on July 16, 1945?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-681b202b9aec43c5b8adc6043135c47a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alan campbell\n", "labels": "Mah Drysdale, Rebecca Scown, Juliette Haigh, Hamish Bond, Eric Murray, Pete Reed, Andrew Triggs Hodge, Ondrej Synek and Alan Campbell are international competitors in which sport?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bbce7c56b1b34c3eb302eecf09cc8dd9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alan clarke\n", "labels": "Which 1986 Alan Clarke film is about 2 teenage babysiters from Bradford who have an affair with a married man?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99422592bf254260886571d2c2da2e3f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alan davies\n", "labels": "Who is the eponymous lead character in a British mystery series starring Alan Davies as an eccentric magician's assistant who also solves seemingly supernatural mysteries through his talent for logical deduction and knowledge of illusionism?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-45f3403521624c4396fe2abfd98e8291"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: howling laud hope\n", "labels": "Which political party, founded in 1983, has its headquarters in Fleet in Hampshire and currently has the leader Alan Hope ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-52ebe8708c174c6d85350e01609ed819"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alan minter\n", "labels": "Alan Minter was undisputed World boxing champion at which weight?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-da3ebc27878a43b4ae5c60116d62b229"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alaska\n", "labels": "What is the Alaskan terminus of the Alaskan Highway?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-171ce2f5e18d488eb27f10cf7b2abf7f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: albania\n", "labels": "What is the name of Albania's unit of currency?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-84277435efd84bdd9f962ef2bb8b2b63"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: albany\n", "labels": "In which Australian state is the town of Albany?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dc3c0a036407446691f7317864814e4b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: albert\n", "labels": "From what did Prince Albert die in 1861?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e025862abb9b462597cbb5986902cbfc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: albert campion\n", "labels": "The detective Albert Campion was created by which author?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-81d369c16cbf48aab5c97987a891179d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: albert einstein\n", "labels": "For what did Einstien gat Nobel prize in Physics?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-157ee68b6ab14bf59fcd7d94ff6be017"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: noel coward theatre\n", "labels": "The Albery Theatre in London was renamed in 2006 after which knighted playwright, composer, director, actor and singer, who was responsible for writing 'London Pride' amongst others?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-eb9b88a2c01c45ae968146e9ebd58c11"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: album\n", "labels": "Whose debut album released in 1998 was entitled The Voice of an Angel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cf6a0910dc5245179d1dd5041788b220"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al capone\n", "labels": "Several associates of which gangster were killed by Al Capone's gang in the 'St. Valentine's Day Massacre' in 1929?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-913242c5cd024545aa72e5cb08e412ce"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al capone\n", "labels": "What 1983 film directed by Brian De Palma, scripted by Oliver Stone and starring Al Pacino as Tony Montana, is based on Howard Hawks's 1932 biopic of Al Capone?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-913242c5cd024545aa72e5cb08e412ce"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the alchemist\n", "labels": "Which dramatist wrote 'The Alchemist in 1610?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fa0ae82466f84843829a56b02916f85e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alcoholic beverage\n", "labels": "What type of alcohol, known as the green fairy, was once banned in most of Europe?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9e5202a63ed546ac876a6e89672658e1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: inglourious basterds\n", "labels": "Who plays the role of Lieutenant Aldo Raine in the 2009 film 'Inglorious Basterds'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9ea8d9669092422a8737574826135efe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aldo zilli\n", "labels": "What is the occupation of TV personality Aldo Zilli?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c36175e09ea94badb29ab0d64bb24ebf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alec guinness\n", "labels": "In which 1951 Alec Guinness film does an inventor create a fabric, which never gets dirty or wears out, thus creating panic in the clothing industry?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-965659af24e44a4098d2408fd4b95c9e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alec guinness\n", "labels": "In which 1957 film did Alec Guinness play the character Lt.-Col. Nicholson?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-965659af24e44a4098d2408fd4b95c9e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alexander parkes\n", "labels": "Invented by Alexander Parkes in about 1856 and originally called Parkesine, what was the first thermo-plastic?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dce50e0a4f844a6d9644cb14f606183f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alexander pushkin\n", "labels": "Alexander Pushkin (1799-1837), revered as a great poet, also wrote which play or drama?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-47e15feb94374957b0b65cdd01f8d76d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alexander the great\n", "labels": "Who was Alexander the Great's tutor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b28753554af04978a87ce5440fb38363"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alexandre dumas\n", "labels": "What book was written by Alexandre Dumas about Edmond Dantes' imprisonment in the Chateau d'If?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b7436ed65cb4949b8fd1e7981c8c044"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alex borstein\n", "labels": "Which cartoon series relies on the voices of Seth MacFarlane, Alex Borstein, Seth Green, Mila Kunis & Mike Henry?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e622552d1848486d8aabebed7c837597"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alex cross\n", "labels": "Which novel by James Patterson is the next in the 'Alex Cross' series after 'Roses Are Red'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c60cdb6a2b6b420d81a0e9d15da93eda"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alex ferguson\n", "labels": "Which club did Alex Ferguson leave to go to Man United?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-711c1d80e8044b96915e8654a1a2bf5d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfio\n", "labels": "In which opera does 'Turiddu', a young villager return to Sicily to find his fiancee, 'Lola', has married 'Alfio', the prosperous village teamster?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f308f066a56443f88d2f5e25a9486be7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al franken\n", "labels": "What SNL self-help parody, portrayed by Al Franken, is known for phrases such as I'm good enough, I'm smart enough, and doggone it, people like me. and I learned what love is from my parents. Which is that you find that one-special person who was placed on the planet just for you, and then you put them through forty years of living hell.?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bb909f6565bd4f2fa7c195a2303a8a18"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfred hitchcock\n", "labels": "What was the first film that Alfred Hitchcock made in Hollywood and the only one that won a Best Picture Oscar?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e41f79a9262f464a9704a806f426169b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfred hitchcock\n", "labels": "Which was Alfred Hitchcock's last film made in 1976?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e41f79a9262f464a9704a806f426169b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfred hitchcock\n", "labels": "What's the only movie Alfred Hitchcock make twice?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e41f79a9262f464a9704a806f426169b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfred hitchcock\n", "labels": "Can you name the final movie directed by Alfred Hitchcock?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e41f79a9262f464a9704a806f426169b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfred nobel\n", "labels": "21 October, 1833 saw the birth of Swedish scientist Alfred Nobel, who amassed his considerable fortune following his invention of what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ba87c8e483d4491ab4b9407816347b82"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfredo germont\n", "labels": "In which opera do the characters 'Annina', 'Alfredo Germont' and 'Duophol' appear?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-20f40d4c306a4a90a1ba567159efce11"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alfred sisley\n", "labels": "Alfred Sisley was an exponent of which school of painting?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-337d80ec42ac49e69bc3deae7353056f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: algeria\n", "labels": "Algeria became independent from which European country in 1962 after over 100 years of rule?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-110abfdca51b441b8a68326b2f4e6e50"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al gore\n", "labels": "What was the name of Al Gore's documentary?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7720e292a3240dba2185d66b09bfc2e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al greenwood\n", "labels": "Ed Gagliardi, Al Greenwood and Dennis Elliot have all been in which group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a1b3f9853de542b6a6ae207cd6aef57c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al-hasa\n", "labels": "In 1932 the Kingdom of Hejaz and Nejd unified with the principal regions of Al-Hasa and Qatif to form which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2a91c3d54837408b8c7afb68531436a7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ali\n", "labels": "In the film 'Ali' who played the leading role?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-68bb677b365a4e81838d47b1622a1940"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ali\n", "labels": "Who played Muhammad Ali in the 2001 film 'Ali'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-68bb677b365a4e81838d47b1622a1940"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ali bongo ondimba\n", "labels": "In which West Central African country was Ali Bongo Ondimba elected President in 2009?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2bec9a3b94da45af953a49177b8cbb0f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aliens\n", "labels": "What actress starred in Avatar and Aliens?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-622f3c5b99434239b618074ba38776a4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al jazeera\n", "labels": "The Al Jazeera broadcasting organization is owned by and headquartered in what country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cab0a29ebad346ca974a64ba9df87f56"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alkane\n", "labels": "What chemical compound of 1 carbon and 4 hydrogen atoms is the simplest alkane, and the principal component of natural gas?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f7aac0e83e7d452295a6a190278806b5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all creatures great and small\n", "labels": "What is the name of Siegfried Farnon's younger brother in the UK television series 'All Creatures Great and Small'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ffeec44c5d3a4a4dab761ba76f9cc863"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: allentown\n", "labels": "In which American state are the cities of Bethlehem, Allentown and Pittsburgh?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9edbff2afc4b4f24b9d736242d23770f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: allentown\n", "labels": "The cities of Philadelphia, Pittsburgh, Allentown, Erie, Reading, Scranton, Bethlehem, Altoona and Harrisburg are in which US state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9edbff2afc4b4f24b9d736242d23770f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all in the family\n", "labels": "The US tv show 'All in the Family' was based on which British tv sitcom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8a7a79eb255e427a982fa5014cc2856e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all i wanna do\n", "labels": "Who won the 1994 Grammy for Record of the Year for All I Wanna Do?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01a9523c35314c8e9c514ffe1ead029f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all my loving\n", "labels": "'All My Loving' and 'Can't Buy Me Love', featured in which Beatles film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e191796e5ffb44e49f6054119ce52161"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all the right reasons\n", "labels": "Which band released the album All The Right Reasons in 2005?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7346367a3d64edcad9cce58968d015d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all the small things\n", "labels": "Released in 2000, 'All The Small Things' was the first UK top 10 hit for which American pop-punk band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e381daf564348589c581d0c9dc047fe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: all the world's a stage\n", "labels": "From which play is the quotation All the world's a stage and all the men and women merely players?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-efd8bb6fa61a452788e5536150032c7b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: almost live!\n", "labels": "What bow-tie wearing TV host and comedian, who got his start on Almost Live!, is known as the Science Guy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d0e3d78ff9c64b0086d4c7e4486fc0bd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: al pacino\n", "labels": " 'Say hello to my little friend' is a quote from which film starring Al Pacino?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-41a8c80eacb94a68aeccf85c36f18a49"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alphabet\n", "labels": "The Futhark is what type of alphabet?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-64941ba175ed45b79b891bcbc471800d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alps\n", "labels": "Which is the highest mountain in the Alps?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0d75a24258264f2895d818f4d8a3b9ce"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alsace\n", "labels": "Which city is the administrative centre of the French region of Alsace?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a64beb4fe8e846fb94206aa0622cd604"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: alton towers\n", "labels": "In which county is Alton Towers?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c14962b31ed640838dae86643c0b1320"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aman andom\n", "labels": "Lieutenant General Aman Andom, Crown Prince Asfaw Wossen, Brigadier General Tafari Benti, Major Mengistu Haile Mariam and Major Atnafu Abate were involved in the politics of which country between 1974 and 1987?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-86fe27fafa6c4aefa3b6554e69c93b85"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: amazon.com\n", "labels": "Which online bookstore was originally called Cadabra.com?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8552b232865141dba55d21232522d14f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: amazonis planitia\n", "labels": "Amazonis Planum is a period of which planet's history?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a872d2543e3949ae87c6b4edfd492a4f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ambrose burnside\n", "labels": "What facial hair style was made famous by American Civil War general Ambrose Burnside?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bea311cb736e4d50b8fb1fb061e5a868"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: amelle berrabah\n", "labels": "In December 2005, Amelle Berrabah became a member of which group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f53b3c7f05324ba499986b9ec78df6f8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: america\n", "labels": "What has been won by Australia II and America 3?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d8ade39f16844d8d8a3ab30c06f2db63"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: american\n", "labels": "What type of pie is particularly associated with American Thanksgiving dinners?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ae5f78eeb38542d7ab57e7cebb6fdb01"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: american civil war\n", "labels": "Who was president of the USA during the American Civil War?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cf8c641b6b2049fbad8c563c7bd13589"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: american football\n", "labels": "In American football, what position is LB?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6f86f3846903420fb6f965592688c097"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: american football\n", "labels": " 'The Black and Gold' is a nickname of which American football team?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6f86f3846903420fb6f965592688c097"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: american gothic\n", "labels": "Who, in 1930, painted the picture American Gothic?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ad4a4025a3f641c6bdd683e66e32d4ed"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: american idol\n", "labels": "What is the name of the asshat, English judge on American Idol, notorious for his blunt and often controversial criticisms, insults and wisecracks about contestants and their abilities?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2a83fa2b268f48d7afb0d7d6e7094886"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: president of the united states\n", "labels": "Which American President along with his Soviet Union counterpart signed the 1974 SALT Treaty?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-15e49128060d4d9f90a29acd8b3ec61a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: president of the united states\n", "labels": "Who was the first American president to resign from office?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-15e49128060d4d9f90a29acd8b3ec61a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: president of the united states\n", "labels": "John Adams and which other American president died on the Fourth of July 1826?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-15e49128060d4d9f90a29acd8b3ec61a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: united states\n", "labels": "In which American city is O`Hare International Airport?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1917f8aafe884763ac16ef8865330688"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: amir khan\n", "labels": "In which class did boxer Amir Khan win the Silver medal at the 2004 Olympics?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a8a51814934c42e6bbd9740faaf934ea"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: amonasro\n", "labels": "Which operatic heroine is the daughter of Amonasro, King of Ethiopia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-aee109be29e144e5903a41500530133c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: amy winehouse\n", "labels": "Amy Winehouse and the brand of which famous 1930s sportsman announced a joint collection in 2010?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1b27eea97dfe4d728f5830c2d0b17e13"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: analgesic\n", "labels": "Which analgesic drug, first isolated in 1804, was named after the Greek god of dreams ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1c54aa41dbe64f7fad992c1bbbe2b902"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andalusia\n", "labels": "Andalusia, Catalonia, Galicia, Aragon, Castilla y Len, Castile-La Mancha, and Extremadura are autonomous communities in which nation?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-93f47a10acc34340ad07d4d10575308b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andalusia\n", "labels": "What is the capital of the Spanish region of Andalusia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-93f47a10acc34340ad07d4d10575308b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andorra\n", "labels": "What is the official language of Andorra?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-65a0a4b428564778a87a36ba3f206673"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andre breton\n", "labels": "Andre Breton, Max Ernst, Yves Tanguy, Andre Masson were amongst the leading exponents of which style of painting founded in 1924?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-62ad3a9e95f24cbfa0f250eb86f5a6ce"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andrea jaeger\n", "labels": "Andrea Jaeger of the US had a successful career in professional tennis, becoming World Ranked number 2, between the ages of 15 and 19, but it ended prematurely due to major shoulder injuries. What profession did she take up in 2006?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-18d7ca8ec69d452db24f7c8ae57a8a43"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andre derain\n", "labels": "What movement did Andre Derain belong to?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a8b643a7d7094b8192a5d40ee6fdeaa4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andrew lloyd webber\n", "labels": "Love Changes Everything is the best known song from which Andrew Lloyd Webber musical?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-24e360edb58c4197a698e728721a13b6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andrew lloyd webber\n", "labels": "Cassandra, Grizabella and Skimbleshanks are all characters in which Andrew Lloyd Webber musical?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-24e360edb58c4197a698e728721a13b6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: andy rourke\n", "labels": "The success of which English rock band formed in Manchester in 1982 was based on the songwriting partnership of Morrissey (vocals) and Johnny Marr (guitar), with the rhythm section of Andy Rourke (bass) and Mike Joyce (drums)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9f37e6f1c28b453eafcdc5bcd9daf589"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angela lansbury\n", "labels": "Which 1970s musical film starred Angela Lansbury as a trainee witch?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d787ebefface4a64a7c0499a4e44c691"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angela's ashes\n", "labels": "Who wrote the book Angela's Ashes?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-904cc3a258854d91ace779f08ff4c8f3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angel clare\n", "labels": "Angel Clare is a character in which novel by Thomas Hardy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-948266ed7f354fc59646352a91b00948"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angelina jolie\n", "labels": "Who is Angelina Jolie's father?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3d4c3b720d46468c8cda9e52f13119a1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angel of the north\n", "labels": "Who sculpted 'The Angel of the North?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-27acf68685074123b6e058ab97ca9e86"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angola\n", "labels": "What is the official language of Angola?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4067e2d9383e4d06a842c9991d20de3a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angostura bitters\n", "labels": "Which classic cocktail consists of whisky, sweet vermouth and angostura bitters?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cbd680e4216e4c0985f5baa534d7f413"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: angus\n", "labels": "What is the county town of the Scottish county of Angus?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-61f0507ea0cb491ab00d13e1d50e45b4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: animator\n", "labels": "Which 'Oscar' nominated animator helped create 'Bugs Bunny', 'Daffy Duck' and the 'Road Runner'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2af62d9a6b8f48b88e68374ed742bae1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: annabel croft\n", "labels": "Which game show did Annabel Croft star in after Treasure Hunt?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f92acfed02c249a19dac97feec83a0ba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: anna leonowens\n", "labels": "Anna Leonowens is a character in which 1956 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e069757ecf9340edaf8c692b6c93c6c6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: annapurna\n", "labels": "The Annapurna range of peaks stand in which Asian country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7d74f97713f6440b8aa4e956204a8f14"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: anne baxter\n", "labels": "For which film in 1950, starring Bette Davis and Anne Baxter, did British actor George Sanders win the Oscar as Best Supporting Actor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-88afb66c94fd4195badf99c665f06257"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: anne elliot\n", "labels": "Which author wrote about the characters Anne Elliot, Jane Fairfax and Emma Woodhouse?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3fc884f8c81b4593ad3482a0328bd168"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: anne of bohemia\n", "labels": "Which King of England was married to Anne of Bohemia ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7f823bbb96e9464687e3ed8efee64727"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: anne of denmark\n", "labels": "Which King of England was married to Anne of Denmark?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6bb1a4168aa74e6a8f88f4d11e4a4eeb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: annie's song\n", "labels": "Who had a No 1 in the 70's with Annie's Song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e833124459ac4fcbb7e898b1742a6884"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ansell collins\n", "labels": "Dave and Ansell Collins had a U.K No 1 hit with which song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8e5cf68717ff4ca0b237e13aa2a0105b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: antares\n", "labels": "In which of the constellations of the Zodiac is the bright star Antares found?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a8d6733f75d04c77be4a22758d9a5c38"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: anthony hopkins\n", "labels": "Frank Langella and Anthony Hopkins have both played which historical character?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-98a446bb00d54c459822267587d04e36"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: antiques roadshow\n", "labels": "Who became the presenter of the UK television show 'Antiques Roadshow' in 2008?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-21d217733d454c84afa5840fdae407da"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aphrodite\n", "labels": "Which Roman goddess is the equivalent of the Greek goddess Aphrodite?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c78fba8faa7e4ba084b522fe2a89ab2e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: apocalypse\n", "labels": "The film Apocalypse Now is based on which novella by the author Joseph Conrad?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c502b69bbc9a4e07a6affe8b8372d74f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: apollo program\n", "labels": "Which Apollo moon mission was the first to carry a lunar rover vehicle?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0d3cd97573734d8bbebe8e8f937c44b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: apollo program\n", "labels": "Which unsuccessful Apollo program was launched in April 1970?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0d3cd97573734d8bbebe8e8f937c44b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: apollo theater\n", "labels": "In what New York neighborhood would one find the Apollo Theater?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-264bdafac1484f0cb3ed598ee2b02e88"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: appalachian mountains\n", "labels": "Located in North Carolina, which is both the highest mountain in the Appalachians and the highest mountain east of the Mississippi?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f7b9b7c61aa547b59c50911710d18428"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: appalachian mountains\n", "labels": "Which Mountain Pass provides a route between Kentucky and Tennessee via the Appalachians?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f7b9b7c61aa547b59c50911710d18428"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: april 22\n", "labels": "What important day, started by U.S. Senator Gaylord Nelson (D-Wis), is celebrated in the U.S. on April 22, but by the U.N. on the day of the spring equinox?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-23eac09221aa458ba30017e5a326ff02"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aqua-lung\n", "labels": "Sailing aboard a converted WWII minesweeper, built right here in Ballard, WA in 1942, which noted French explorer is credited with inventing the aqualung, making modern scuba diving possible?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-434037f9cccf4508b9f6bbdf2d3a2e54"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aquarius\n", "labels": "What star sign comes immediately before Aquarius?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-54b7af4c3c4d472dafd066da4c4d0b6c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arab revolt\n", "labels": "Who organised an Arab revolt against the Turks and wrote The Seven Pillars Of Wisdom about his experiences?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c259baf82131400aa7a14adde830c161"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arab revolt\n", "labels": "What British adventurer fought in the Arab Revolt?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c259baf82131400aa7a14adde830c161"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aragon\n", "labels": "Which country was the birthplace of Henry V111's first wife Catherine Of Aragon ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-719d456f78fa44dbb1320381035d9fe0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arantxa sanchez vicario\n", "labels": "Former World Number One professional tennis player Arantxa Vicario was born in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1c25ea56104747128026fa3e9e43a9aa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arcade game\n", "labels": "What arcade game involves an amphibian trying to cross a busy street?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-25f01e1b28d6474b96bf9c5303389fb8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arcangelo corelli\n", "labels": "Composer Arcangelo Corelli (1653 - 1713) is associated with which instrument?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2126dd87cf9e44b68d87d8d1fe63d0fb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arc de triomphe\n", "labels": "Where in Paris would you find the Arc de Triomphe?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0457a007763049aa9ca3c3911f7e33dd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: archbishop of canterbury\n", "labels": "Who was the Archbishop of Canterbury when women were first ordained as priests into the Church of England?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-226d32df8c144e7b81bf5d02d4ae9590"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: are you being served?\n", "labels": "Born in 1921, who connects 'Are You Being Served' with 'Last of the Summer Wine'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6645724acab14044be8a144e1278e6b5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: argentina\n", "labels": "What are the flat treeless plains of Argentina called?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-88730e82251b406eb71b95582d6c741f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ariadne\n", "labels": "Which legendary Greek hero killed the Minotaur with the help of Ariadne?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-558f13ac8c384c0fa514fb94d0279086"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ariel\n", "labels": "Miranda, Ariel and Umbriel are all moons of which planet in our solar system?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a68621fec4a4c63b4bf7cf749cfc31c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the aristocats\n", "labels": "What is the name of the character voiced by Eva Garbor in The Aristocats?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-15b8595875c8406db9d3ea85e991b90f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aristotle with a bust of homer\n", "labels": "Who painted 'Man in a Golden Helmet', in 1550 and 'Aristotle Contemplating the Bust of Homer' in 1653?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8a5838efdff443cd840783a47b564de5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arizona\n", "labels": "Which river flows through the Grand Canyon in Arizona, USA?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-67303b0f0c8d4ebf9ec0b748e91848c9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: stockholm arlanda airport\n", "labels": "Arlanda international airport is in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6ce653923a7b40db8a35dc7c89162a6c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: armageddon\n", "labels": "Taken from the soundtrack to Armageddon, which band recorded the Song I Don't Want to Miss a Thing?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-89ddcd6029564bec8d6018f1e8d917b3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: british army\n", "labels": "In British army what ranks between Major General and Colonel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-503073fbc38b4ed68b4326b59b105214"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: army of northern virginia\n", "labels": "Who was the commander of the Confederate Army of Northern Virginia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-665985f7a59141d9ae2b570db53c1213"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arrecife\n", "labels": "Arrecife is the largest city on which of the Canary Islands whose name is derived from that of a Genoese navigator?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c0704dcb9c1846b3b74d71889a95b5e6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: artemis\n", "labels": "Who was the Roman equivalent of the Greek Goddess Artemis?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-491126a9532548c2a9ff19b18ed020ac"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: artful dodger\n", "labels": "He was a 60s chart topper but who was it that played 'The Artful Dodger in the 1948 film 'Oliver Twist'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-11e1fa97a1c541bc884cbc554ec0e38d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur\n", "labels": "Which actress starred in the films Cabaret and Arthur?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01168dafd0984f89914e7143345401e4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur\n", "labels": "In British legend, what is the name of King Arthur's sword?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01168dafd0984f89914e7143345401e4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur ashe\n", "labels": "What disease caused the deaths of Freddie Mercury, Liberace, and Arthur Ashe?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-55e774f665c54a58b82da05b3e97ec03"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur dent\n", "labels": "Arthur Dent and Ford Prefect first appear in which book?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5873fdb35f01484188da06e0b497e7e4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur miller\n", "labels": "Which play by Arthur Miller opened on Broadway in New York in January 1953?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c8bb88b379c0412fb7ed98da26edd751"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur parker\n", "labels": "In the TV series 'Pennies From Heaven' who played the character Arthur Parker?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-61039ca3bbb944fa9300f2725313c601"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur rimbaud\n", "labels": "The French poet Arthur Rimbaud, the confidence trickster Frank Abagnale and the industrialist and aviator Howard Hughes are three of the the real-life people played in Hollywood films by which actor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d8e718ef49e242c19b348602fbca6f67"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur wellesley, 1st duke of wellington\n", "labels": "Field Marshal Arthur Wellesley, shares his better known title with which Southern Hemisphere capital city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2010df05cd4e498593190ed049f110fe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aryan\n", "labels": "In what county did the Aryan race originate?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a78f369d479a43a08e5c0e7558fc91f6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: asahi shimbun\n", "labels": "What was the 'Asahi Shimbun', first produced 24th, September 1980, and advertised as untouched by human hand?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b3123dcb27e94f7eb497d9925d35aabf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ashton gate stadium\n", "labels": "Which English league football team play at Ashton Gate?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-16f1b10602854140bf911d5ddeeaff65"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: asmara\n", "labels": "Asmara is the capital city of which African country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-25133cad282e49f0be2ca9339ebfa1ac"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: assassination\n", "labels": "Sirhan Sirhan was convicted of the assassination of whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dd632d955ec6484c8099e24685c3a7fe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: assistant secretary of the navy\n", "labels": "October 27, 1858 saw the birth of what total badass, who spent time as New York City Police Commissioner, Assistant Secretary of the Navy, 33rd Governor of New York, and 25th Vice President of the US, before going on to a few other impressive jobs?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e8104d42f9104a9891eff7bc2bee4c01"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: asterix\n", "labels": "What is the name of the village druid in the comic strip 'Asterix'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ab789ff9d0b0449b962bbdef91d0f2be"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: asteroid\n", "labels": "Which celestial body is the only dwarf planet and largest asteroid found in the inner solar system?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ac1c9e7e9589482a827c6483006d3018"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: as time goes by\n", "labels": "Who played the part of 'Jimmy' in the 1970s TV comedy 'The Fall and Rise of Reginald Perrin', going on to further success in 'As Time Goes By'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a926e4cc45a24a7595b370083f64bd43"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: astral weeks\n", "labels": "Who recorded the 1968 album 'Astral Weeks'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7ad340613b864f0ca95bd29aca923190"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: astronomer\n", "labels": "Feb 15, 1564 saw the birth of what famed Italian physicist, mathematician, astronomer, and philosopher, who discovered the first 4 moons of Jupiter?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3aee26e901d5470ea7201c1d2fe4378b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: asuncion\n", "labels": "Asuncion is the capital of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1dbde8425f544d9ab1e3f67ab9b06661"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aswang\n", "labels": "An Aswang, or Asuwang, is a mythical vampire-like creature in the folklore of which Asian country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-19dc77aef9cf4a4893ba61ae3d349109"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: asyut\n", "labels": "Asyut, Hurghada and Kom Ombo are cities in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1b82647aad2e4e40b422985280c7f69f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: atacama desert\n", "labels": "The Atacama area on the Pacific coast of South America is best characterised as what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3e3ec853f46c49e69b5f80639f714111"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the a-team\n", "labels": "Which member of The A Team played Clubber Lang in Rocky III?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-371fcfb1d9fc44b69dacc7433ecf9787"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: athenry\n", "labels": "In which Irish county is the district of Connemara and the town of Athenry?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b010d38084024f9cbd1ce0d1ff5fca41"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: athens\n", "labels": "The Parthenon in Athens stands on which hill?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-806d6a875a064ea18f170d0daf805954"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: atlantic ocean\n", "labels": "Which country has 6 time zones called Pacific, Mountain, Central, Eastern, Atlantic and Newfoundland?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d522f1d1023348c0b652679855fd81b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: atlas\n", "labels": "Atlas is a moon of which planet?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7ecca4892e0c417a88465cc207f68275"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: auckland\n", "labels": "At which ground in Auckland will the final of the Rugby Union World Cup be played on the 23rd of this month?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d77d2262c7fd45e3ad8b27ec0db7caf2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: auld lang syne\n", "labels": "What Scottish poet wrote Auld Lang Syne?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-feafad415b644349bcf9de5ee5a3a45e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: auld reekie\n", "labels": "Auld Reekie is the nickname for which Scottish city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-60b232dd8cbc4ca7994a9b8025a8513f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aunt ada doom\n", "labels": "In which book did Aunt Ada Doom see 'something nasty in the woodshed'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5adc673c48b243f9b4605333d0692e66"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: auriga\n", "labels": "Which constellation, that lies between Taurus to the west and the dim Cancer to the east, with Auriga and Lynx to the north and Monoceros and Canis Minor to the south, is associated with the myth of Castor and Pollux, collectively known as the Dioscuri?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fde515a0165943179dc45186857b0147"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: aurora\n", "labels": "Who is the Greek equivalent of Aurora, the Roman Goddess of the Dawn?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-afadf90993174e0b82a124e71dae9c4d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: austerlitz\n", "labels": "Which German writer completed his magisterial final novel 'Austerlitz' just weeks prior to his death in a car crash in 2001?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-57aee1f9ecdf41859289e1c490cb97ba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "What is the capital of Australia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "Which country is the nearest neighbour of Australia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "Where is the area of 127,000 square kilometres (49,000 sq miles) in central South Australia, where public are not admitted under Australian Defence Force regulations?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "What is the second biggest city in Australia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "What is the southern-most Australian state capital?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "The Whitsunday Islands lieoff the coast of which Australian state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australia\n", "labels": "Who was the last Australian to win the Men's Singles at Wimbledon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7fbaeb6f1bf4fab9a577622369cf883"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: australian open\n", "labels": "In 2010, who became the first person to win the Women's Singles title at the Australian Open tennis tournament 5 times?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0aef69ff4d844eb8b7a8f5ad6a604124"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: austria\n", "labels": "Which city, previously the Roman town of Vindobona, became the capital of the Duchy of Austria in 1156 and the capital of Hapsburg power base in the 13th century?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f4c4323d7b20432cb61501d80e3e0240"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: austria\n", "labels": "What is the name of Austria's highest mountain?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f4c4323d7b20432cb61501d80e3e0240"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: austria\n", "labels": "Which mountain range stretches from Austria and Slovenia in the east, through Italy, Switzerland, Liechtenstein and Germany to France in the west?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f4c4323d7b20432cb61501d80e3e0240"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: franz xaver gruber\n", "labels": "In 1818, the Austrian Franz Gruber composed his only published work, the music to a poem by the curate of his church; by what name do we know this Christmas carol?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7e8fdb90a0bd4d948fcc995bbc118abb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: austria-hungary\n", "labels": "What state, earlier known as the Bohemian Kingdom and part of the Austro-Hungarian Empire at the time of the Empire's dissolution at the end of World War I, was formed in 1918?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-67244c225e8046e0ad92b469686894d6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: autism spectrum\n", "labels": "What autism spectrum disorder was first identified in 1944 due to a study of children who lacked nonverbal communication skills, demonstrated limited empathy with their peers, and were physically clumsy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0ed8a040dbaa4351adfb67860563273a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: toyota avensis\n", "labels": "Which car company launched the Avensis model in 2015?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-11c158e603a74e1db80bcdfe445dc640"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the aviator\n", "labels": "Who directed the film 'The Aviator'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8455102a44474b2ea2dc0f9136a14b55"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the aviator\n", "labels": "Who played the role of Howard Hughes in the 2004 film The Aviator?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8455102a44474b2ea2dc0f9136a14b55"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: uluru\n", "labels": "In which country is Ayres Rock?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f73e27f383cc4882b4fc9684fcb65fa0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ayyubid dynasty\n", "labels": "What medieval Islamic dynasty was founded in 1250 in Egypt and Syria by slave soldiers who deposed the Ayyubids?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a4647d2110e40c9985652b4b28f6cd9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: o mio babbino caro\n", "labels": "Who wrote the aria O mio babbino caro?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5184592489e74a94a3bc877134e8e00e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: babette's feast\n", "labels": "The winner of the Academy Award for Best Foreign Film 1987, Babette's Feast, was set in, and filmed by, what country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cacb419adb2749f9bb30e72a3cfb342a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barbara gordon\n", "labels": "What was the secret identity of the comic book character Babs Gordon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-222aedacdc3d4314b4c3d0cc0fa9e6b4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barbara gordon\n", "labels": "By what name was Barbara Gordon known in DC Comics from 1967 to the mid-1980s?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-222aedacdc3d4314b4c3d0cc0fa9e6b4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: back for good\n", "labels": "Which boyband had a top 10 hit in 1995 with Back for Good?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-07b50e9b97874a7393b80d6686b6e995"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: winnie the pooh\n", "labels": "Bees, Woozles, Jagulars, and the Backson are minor characters in which author's famous stories?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7624b48b1f4c4149b69c27aade77e167"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: back to black\n", "labels": "Which late English singer released albums entitled 'Frank' and 'Back to Black'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d8223219c1f44fb3842f3bcc900ced5c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: back to black\n", "labels": "Which singer recorded the very successful album 'Back to Black'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d8223219c1f44fb3842f3bcc900ced5c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: back to the future\n", "labels": "Who directed Back To The Future?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0f008bdfdf67456e82a6c706e59d4681"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: back to the future\n", "labels": "Who directed the film `Back To The Future`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0f008bdfdf67456e82a6c706e59d4681"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bad boy\n", "labels": "Who released the albums Sentimental Journey, Goodnight Vienna, Bad Boy, Old Wave and Vertical Man between 1970 and 1999?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4acbd731d0ee48119d44b60fc4fb4f96"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: south africa national football team\n", "labels": "Bafana Bafana is the name of what country's national soccer team?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f89b99cc486344769da370f99cbc2e15"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: south africa national football team\n", "labels": "Which national football team is nicknamed 'Bafana Bafana'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f89b99cc486344769da370f99cbc2e15"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bahia\n", "labels": "Bahia was the capital city of which South American city between 1552 and 1763?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9738317bd08a4a4b97d3edbcfb87f48d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: baja california\n", "labels": "The state of Baja California is in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b02c928199204e5fa3eb046e303e3f58"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: balearic islands\n", "labels": "Which of the Balearic Islands has a name that means 'biggest'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9f33339275f94f7283045355a8f86338"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: balearic islands\n", "labels": "What is the second largest of the Balearic Islands ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9f33339275f94f7283045355a8f86338"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ballet\n", "labels": "The Lilac Fairy and Carabosse are two conflicting forces in which Tchaikovsky ballet?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b6b84ea6ec3e43659dcd88bd1f2c8d46"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bambi\n", "labels": "Bambi, Cash, Sick and Summer Holiday were episodes of which comedy series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f2486104f87a4a3fa1ead193fab25c5c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bang\n", "labels": "Containing the singles 'There's No Other Way' and 'Bang', what was the title of Blur's debut album?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-af247b0429e74e298790c9dbd5045df0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bangladesh national cricket team\n", "labels": "Who captained Bangladesh to their 4 - 0 series win over New Zealand in the one day international cricket series completed in October 2010?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5ac63901ad8542efb25dd8e280bd3a37"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bank of england\n", "labels": "Who officially replaced Sir Mervyn King as governor of the Bank of England in June 2013?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7973e1356c9d4241a5b60bea49dfe53a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: banqueting house, whitehall\n", "labels": "Who designed the Banqueting House in London's Whitehall?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0da9dd1b8ac24265bcad60f6162e63b9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: frederick banting\n", "labels": "Banting, Best and MacLeod are renowned for the discovery of what in 1922?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2e1706a0b8214908be975df50fd84065"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barack obama\n", "labels": "Barack Obama was a senator for which state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8832dd7cafc54c56b392c66c73d2412f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barack obama\n", "labels": "Where was US President Barack Obama born?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8832dd7cafc54c56b392c66c73d2412f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barbados\n", "labels": "What is the capital of Barbados?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fbb635bdcfaa4cb998e626d027b952c9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barbara cook\n", "labels": "Which show, starring Robert Preston and Barbara Cook on Broadway?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a1c05b3807ce41dca6943f9b6dc7ad61"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barbara hepworth\n", "labels": "Jacob Epstein and Barbara Hepworth were famous in which branch of the arts?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-29e2bc598e4c4879b04bbda666384a4f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barclays\n", "labels": "Who in the summer of 2012 resigned as CEO of Barclays?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ea0c7a3427724bd1871f14e497cea55b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barium\n", "labels": "Which scientist discovered the elements Calcium, Barium and Potassium?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4bc258e411224b41b554af7428ef44c8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: barry hines\n", "labels": "The book A Kestrel for a Knave by Barry Hines was the basis for which 1969 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d821ebeab2ff45f19a3c475062d0b026"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the bartender and the thief\n", "labels": "Reaching number 3 in the charts in 1998, 'The Bartender And The Thief' was the first UK top ten hit forwhich group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9951c9bc91b843f68a9e744b11a4c174"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: basil fawlty\n", "labels": "Who played Basil Fawlty in `Fawlty Towers`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0130a35c6a094e7c8477c3a4bb6a72cb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bass guitar\n", "labels": "Who played bass guitar in the Beatles?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-aebb005924634adaaa63e98566e25437"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bastien und bastienne\n", "labels": "The one-act comic opera 'Bastien und Bastienne' was the first by which composer aged 12?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f5e90426b5b74e04afc0ea5ea680e051"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bastille\n", "labels": "The building of historical significance known as the Bastille is in which city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-447840aeff584ea0bd3e0b5cf1ccc8fa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bathsheba\n", "labels": "Which Biblical king was the son of David and Bathsheba?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3b54b0419d99491eabc9fe072312c719"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: batman\n", "labels": "Who was the first actor to star as Batman?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-310b564b0b9b4ebbbddc3ceb58dd5d1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: batman\n", "labels": "Who played the role of the 'Riddle in the 1960s TV series Batman?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-310b564b0b9b4ebbbddc3ceb58dd5d1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: batman\n", "labels": "Which standard recurring character Batman comic book character did not appear in the film Batman (1989) nor Batman Returns (1992), but was in Batman Forever (1995) and Batman & Robin (1997)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-310b564b0b9b4ebbbddc3ceb58dd5d1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: batman forever\n", "labels": "Who played The Riddler in the film Batman Forever?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f66f7c8cef3b4a4a8c3efd6011e6aad5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of agincourt\n", "labels": "The 'Battle of Agincourt' took place during which war?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-556e9a214859486dae495080d9817bfa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the battle of anghiari\n", "labels": "Which artist/inventor's famous lost 1504 painting, The Battle of Anghiari, was found in 2012 hidden in Florence Town Hall, behind a later fresco?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f924db0279fd484b92aa0c7617809fbb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of bannockburn\n", "labels": "At the Battle of Bannockburn, an army led by Robert the Bruce defeated troops led by whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5e4e1fc0cba6409a9e1488f06e4ebf1c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of brandywine\n", "labels": "In which war was the Battle of Brandywine?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b0a83beec3ac4de284fb1f3c2999bfa8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of crecy\n", "labels": "The battle of Crecy was fought during which war?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c79ed2974fdd476d8ee067077f5ddf6d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of dettingen\n", "labels": "The Battle of Dettingen in which George II led the British troops occurred during which War?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9f8194f2bda74d5991d2377505623e07"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of gettysburg\n", "labels": "Who commanded the Confederate forces at the Battle of Gettysburg?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d4e4538b44bb4df8bfc2038280be8d2c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of landriano\n", "labels": "After the Battle of Landriano, French monarch Franois I was forced to concede defeat in which war?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-86d30ebf457345d4b89d557078e880d4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of stalingrad\n", "labels": " 'The Motherland Calls' which commemorates the Battle of Stalingrad, is a statue in which Russian city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6ee7e0b1ca964b6eac598a8f0a30fecc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: baudouin of belgium\n", "labels": "In 1951, which European country saw the abdication of King Leopold lll in favour of his son Baudouin?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-514281b41cde4bc38523b1058f8ce110"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bauhaus\n", "labels": "Which architect found the Bauhaus School in Weimar in 1919?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c009d78352d742cbb347fcc7be74c844"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bay of plenty\n", "labels": "The Bay of Plenty is on the coast of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cf9624231e5345ddbc0008f2e6bd261b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bbc\n", "labels": "What is the name of the teletext information service started by the BBC in September 1974?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8dd3217965b84ca281472009c450c411"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bbc\n", "labels": "What is the title of the BBC sitcom starring Mathew Horne and Joanna Page, written by and co-starring Ruth Jones and James Corden?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8dd3217965b84ca281472009c450c411"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bbc\n", "labels": "The Balkan Trilogy and The Levant Trilogy, both written by Olivia Manning were made into which 1987 BBC TV series starring Emma Thompson and Kenneth Branagh?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8dd3217965b84ca281472009c450c411"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bbc\n", "labels": "What is the title of the first BBC television series to be sold to the Soviet Union?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8dd3217965b84ca281472009c450c411"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bbc\n", "labels": "Agrava, Cephlon and Virn are all fictional planets in which BBC science fiction television series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8dd3217965b84ca281472009c450c411"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bcg\n", "labels": "BCG is an inoculation against what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-61209e45b22f4d08bda4eec33afb8c93"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beach volleyball\n", "labels": "Which country has won the most medals at the European Beach Volleyball Championship (later known as the Nestea European Championship Final) between 2000 and 2008 inclusive?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d125af57c65d4f4980b7334fb42ad6ad"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bear grylls\n", "labels": "Bear Grylls is the only person to appear in what TV series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f693ca7a5c2641349f7a2192a97cae36"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bear\n", "labels": "Which sport do the Chicago Bears play?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bacaa49177714ceba19d04b3dcd19e4a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beat it\n", "labels": "Beat It and Billie Jean are singles from which Michael Jackson album?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5db8a58f54cc480baefb9b4d03586de9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: sgt. pepper's lonely hearts club band\n", "labels": "Which English pop artist created The Beatles 'Sgt Pepper' album cover?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-686550a95ba442b88f1641b7a751cb88"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the beatles\n", "labels": "Scrambled Eggs was the working title of which Beatles song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b875fa1cd264c2c8817c1184bd762ff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the beatles\n", "labels": "What was the first Beatles song licensed for use in a Nike add?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b875fa1cd264c2c8817c1184bd762ff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the beatles\n", "labels": "Tell Me Why is featured in which Beatles film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b875fa1cd264c2c8817c1184bd762ff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the beatles\n", "labels": "What Beatles song was also recorded by Peter Sellars?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b875fa1cd264c2c8817c1184bd762ff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the beatles\n", "labels": "What was the last Beatles album to be recorded before the band split up?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b875fa1cd264c2c8817c1184bd762ff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beatrice et benedict\n", "labels": "The Hector Beriioz opera Beatrice et Benedict is based on which of Shakespeare's plays?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-80ee199ed28944c097cba6cfeedb3ca4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beatrix potter\n", "labels": "Beatrix Potter wrote a tale about a Grey Squirrel, what was its title?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-086df12571e34f2295d30257ef441518"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beaumont palace\n", "labels": "Which English king was born in Beaumont Palace in Oxford in 1157?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e1b2ce9c445041eb90e7795a382b4d7b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beautiful girls\n", "labels": "Beautiful Girls was a 2007 hit for which artist?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-84031f722560497ea50c3ecba5182f99"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beauty and the beast\n", "labels": "What is the name of the heroine in the story of 'Beauty and the Beast'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d8747e22bc034dc1aa4a75388e8c592a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ode on a grecian urn\n", "labels": "Which poet wrote the line 'Beauty is truth, truth beauty - that is all ye know on earth, and all ye need to know'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8432772886cb40d392a0c22e9e40e44e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: be careful what you wish for\n", "labels": "Whose 2014 best-selling novel 'Be Careful What You Wish For' is the fourth in the Clifton Chronicles series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-81ea8fa4ef6d48e889c1a9df23b39c37"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bedazzled\n", "labels": "What role is played by Elizabeth Hurley in the 2000 film Bedazzled?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-187dcc8d085c47d994196dae0638bc3c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beetlejuice\n", "labels": "Who directed the 1988 film 'Beetle Juice'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-15168a626c5d40b3958f40c813623a42"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: begbie\n", "labels": "Which 1996 film had characters 'Renton', 'Sick Boy', 'Spud' and 'Begbie'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-24cf8c5c5c3442b7a3524ed6e5e13cc9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: being and nothingness\n", "labels": "Which 20th century philosopher wrote 'Being And Nothingness' and 'Critique Of Dialectic Reason'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6861e3c40f2b4c35ad52677e510caacf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bela lugosi\n", "labels": "Bela Lugosi's most famous role was as who?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b00c00b609a740828612009ffea40031"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: belem\n", "labels": "In which country is the deepwater port of Belem?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0bba6fff20a245049c0554347432e76b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bella\n", "labels": "Jacob Black, Edward Cullen, and Bella Swan are characters in what fictional book series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d23d8c63761341f7bac6be193ac2e979"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bellucci\n", "labels": "What 2007 film is an over-the-top send-up of action movies, featuring a large amount of violence (including killing by carrots), starring Clive Owen, Monica Bellucci & Paul Giamatti?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-05a828bbcfea4c95aae4477adabb714d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: belshazzar's feast\n", "labels": "Belshazzar's Feast'', Portsmouth Point and Facade are among the works of which composer?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99e027523d8d4d1ba863393bfbed3f42"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: belshazzar's feast\n", "labels": "Born in 1902, which Briton composed 'Facade' and 'Belshazzar's Feast'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99e027523d8d4d1ba863393bfbed3f42"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: belshazzar's feast\n", "labels": "Who composed 'Belshazzar's Feast' cantata?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99e027523d8d4d1ba863393bfbed3f42"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ben collins\n", "labels": "Ben Collins was 'outed' in January 2009 as which mysterious TV character?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3b320951719c4bacbd192d0f8b560568"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: benedict\n", "labels": "Which actor has played Guy Perron in The Jewel in the Crown (1984), Dr. Jonathan Clemens in Alien 3 (1992), Sardo Numspa in The Golden Child (1986) and Benedict in Last Action Hero (1993)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-752a0690cfcd40bea55ce4150f1484b1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ben gurion airport\n", "labels": "In which country can you find Ben Gurion International Airport, the country's largest?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bc6d38c207ab4affbce0e35b45c174c1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ben-hur\n", "labels": "Who won the best actor award for the film `Ben Hur`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fc9a87a33fea441a8f90cab58b827cc6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ben-hur\n", "labels": "In honor of his passing on April 5, 2008, which actor made a career of starring in heroic roles such as Moses, Ben-Hur, and Colonel George Taylor, before spending 5 years heading up the NRA?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fc9a87a33fea441a8f90cab58b827cc6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: mexico city international airport\n", "labels": "Benito Juarez international airport is in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4bd60e9b017f4676a656ff994e7baeeb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the curious case of benjamin button\n", "labels": "Who played the title role in the 2008 film 'The Curious Case Of Benjamin Button'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-645182bf68fb463e8256f208a03f45c3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: benjamin franklin\n", "labels": "Benjamin Franklin is usually credited with the creation of the first pair of what items of optical equipment in the early 1760s?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ffe669e15bcb4a0c8e7a1bc450706510"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ben whishaw\n", "labels": "The film Bright Star, directed by Jane Campion, released in May 2009 and starring Ben Whishaw and Abbie Cornish, is a period drama about Fanny Brawne's romance with whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-744f76011edf45a1809d6f126adbaf19"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bernard hedges\n", "labels": "John Alderton played teacher Bernard Hedges in which UK television series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4f182390ff0b4f08bf3c9304b71ec785"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bernard sumner\n", "labels": "Which band, formed in Salford in 1976, contained Ian Curtis, Bernard Sumner and Peter Hook?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0625bac36bbb4e28b4c039d476b05e40"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bernie ecclestone\n", "labels": "Bernie Ecclestone and Flavio Briatore were at one time co-owners of which Premier League club?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-476a669ec1cc4bf297d2e0e6358ed6c2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the golden shot\n", "labels": "Who was known for the catchphrase Bernie, ... the bolt?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d94ba1358ede4caa8fddc6c7bf63bca8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bertrand russell\n", "labels": "The German Imannuel Kant, Englishman Bertrand Russell, and American John Dewey, were notable?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e1b3a16b36aa4d1fbd312ea40bdceca7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bessemer process\n", "labels": "What does the now largely obsolete Bessemer Process produce?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7caeffaf0ba44ca6a206c069538089df"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best actor\n", "labels": "For his portrayal of which real life character did Philip Seymour Hoffman win the 2006 Best Actor Oscar?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ad2e5f2433d3428a816f51359b2a5357"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best actor\n", "labels": "Who won the 2007 Best Actor Oscar for his role in the film 'The Last King Of Scotland'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ad2e5f2433d3428a816f51359b2a5357"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bafta award for best actor in a leading role\n", "labels": "Who won the Best Actor BAFTA in 1993 for his part in Shadowlands?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-af37c07b64b54afe82592a0ff6eaf257"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bafta award for best direction\n", "labels": "Who won the Best Director and Best Picture Oscars for the 1982 film Gandhi?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9b1680cecaed4b3494419696aeffdac0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: mtv video music award for best female video\n", "labels": "Asshat rapper Kanye West interrupted the VMA acceptance speech of which Best Female Video award winner?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2d7c4b870b9b47e3b711b2727d59546b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: academy award for best original score\n", "labels": "Which composer has won Academy Awards for Best Original Score for Born Free, Out of Africa, and Dance with Wolves?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8522d86e9a2740d2935bd1d504fb844e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: betelgeuse\n", "labels": "Rigel and Betelgeuse are in which constellation?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b595c60b2d814635b770c6e6abaf19ea"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: in memoriam a.h.h.\n", "labels": "Which poet wrote It is better to have loved and lost than never to have loved at all?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ed6016d7a5bd4acc956d804a30c7b51c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beyond the fringe\n", "labels": "Which cast member played the piano in the original Beyond the Fringe satirical revue of the early Sixties ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f5e392578bf849d4bf4e4500f41fbfd3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beyond the sea\n", "labels": "Who starred in and directed the 2004 movie Beyond the Sea?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3d352209710e465f8832209da7d2faec"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bianca\n", "labels": "Bianca is the younger sister of Katherina in which Shakespeare comedy play?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-846e8ab7ce96484fbc509dfa02699766"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bible\n", "labels": "In the Bible, Peter was the brother of which other apostle?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9aac2581853944e5b90e648df857813c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bible\n", "labels": "From which book in the Bible does the line `Thou shalt love thy neighbour as thy self` come?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9aac2581853944e5b90e648df857813c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the big bang theory\n", "labels": "Who plays Sheldon Cooper in The Big Bang Theory?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-159c0794f1094e6b823576b127ee31b5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: big girls don't cry\n", "labels": "Who had a 2007 hit with Big Girls Don't Cry?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9502b6102a214dc0b7c94558836decdf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the big sleep\n", "labels": "Who wrote the 1939 book The Big Sleep?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-aeb3da7aa2af4651a573a07f3942e522"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bilbo baggins\n", "labels": "Who is to play the role of Bilbo Baggins in the 2012 film of Tolkien's 'The Hobbit'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c56052809f9245ed899de1b575461e06"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bill\n", "labels": "Priscilla, Beans, Roadkill and Bad Bill all feature in which animated film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f3ec14f8d6374390b46f8f7ba2d4cc47"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bill clinton\n", "labels": "Which politcal party did American President Bill Clinton represent?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a0982e81c80d4d179ec355fed3749047"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bill gates\n", "labels": "Which company is owned by Bill Gates?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c8356cbb1ab345239ef0a78f01bcbd25"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bill gates\n", "labels": "Which company was founded by Bill Gates and Paul Allen in Albuquerque, New Mexico, on 4 April 1975 to develop and sell BASIC interpreters for a new microcomputer, the Altair 8800?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c8356cbb1ab345239ef0a78f01bcbd25"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bill kenwright\n", "labels": "Actor and theatre producer Bill Kenwright became chairman of which English football club in 2004?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8f5f40846cf844d69043c8fba86745ff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bill shoemaker\n", "labels": "In America, as what was Bill Shoemaker famous?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5378b9ff82e04173bfbfab9729641f8d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: billy bowden\n", "labels": "Billy Bowden is an official in what sport?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-71c7a61191964dd5a88f5695dd0b5afe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: billy budd\n", "labels": "Which novelist (1879-1980) wrote the libretto for the Benjamin Britten opera Billy Budd with Eric Crozier?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9fc4359cc65740e3827d77eb8e7876f9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: billy elliot\n", "labels": "Who played the role of dance instructor, Mrs Wilkinson, in the 2000 film Billy Elliot?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-849f51469722463994691b9a403d4495"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: billy elliot the musical\n", "labels": "Who composed the music and lyrics for the stage musical of Billy Elliot?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1065a7aaf8484976b851af75153ad08a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: billy wilder\n", "labels": "Which film directed by Billy Wilder and starring Ray Milland, was about four days in the life of a chronic drunkard?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6885c677ec324093b113e6f88065cb83"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: biloxi blues\n", "labels": "Who wrote the three plays known as the Eugene Trilogy - Brighton Beach Memoirs, Biloxi Blues and Broadway Bound?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bafd29ae9217497b8c149701506e0a01"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: birthday cake\n", "labels": "Who teamed up with Rihanna on the 2012 track Birthday Cake Chris Brown, Jay Sean, Nelly, Usher?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-436bc8ef91d54e289de8a40c4c426dda"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the birth of venus\n", "labels": "Which artist who lived from 1445 to 1510 painted 'The Birth Of Venus'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7567aa20fef04e1ba49b5178c511b0ca"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bismarck\n", "labels": "Bismark is the capital of which US state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1f1b848d16774ae2ba95b29048c5414d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bison\n", "labels": "What type of musical instrument is a Burns Bison?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c8412e1c721c4263a25cbe01082fdddc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: georges bizet\n", "labels": "If you went to Bizet's Carmen, what would you expect to see?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0d8c0438ac2547859e07dba7186a6785"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blackadder\n", "labels": "Who played the character of Lord Flasheart who appeared in several episodes of the TV comedy series `Blackadder`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e4b31e2214b84412bad57cacf2ae6f26"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blackadder\n", "labels": "'Dish and Dishonesty' and 'Sense and Senility' are titles of episodes of which Blackadder television series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e4b31e2214b84412bad57cacf2ae6f26"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: black canyon of the colorado\n", "labels": "What is the dam in the Black Canyon of the Colorado River on the border between the US states of Arizona and Nevada that was completed in 1935?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-563e5433e6af4203808430351dc9140a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: black forest\n", "labels": "In which European country is the `Black Forest`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-785839740e684ae489feda33787f9665"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: black hawk down\n", "labels": "Who directed the 2001 film `Black Hawk Down`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b128a65c11d9498580d95c86c40e7565"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: black jack\n", "labels": "Which WW1 American General was known as Black Jack?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2f6e340fb17640b98b07ce144f0fda20"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blackmail\n", "labels": "The Pleasure Garden, The Lodger and Blackmail are among the films of which British director?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d5f591529236422081e75266fa8174c6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: black or white\n", "labels": "Black or White came from which Michael Jackson album?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-88fad917410a4564a9ab2f81c272a94c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: black paintings\n", "labels": "The 'Black Paintings' is the name given to a group of paintings by which Spanish artist?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01b7635763c14499bf8d558bc579b9af"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the black pirate\n", "labels": "Who played the title role in the Black Pirate?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7936a7197a34391b819440868283d7e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blackpool\n", "labels": "At the beginning of the 2013-14 season, which former international player is manager of Championship team Blackpool FC?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f062de5510534f1384ea29d4d42c7547"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blaise compaore\n", "labels": "Between 1960 and 1987, Maurice Yamogo, Lt. Col. Sangoul Lamizana, Col. Saye Zerbo, Maj. Dr. Jean-Baptiste Oudraogo, Capt. Thomas Sankara and Capt. Blaise Compaor were involved in the politics of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-001ed64e93384aa893221eee71de7b07"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blaze of glory\n", "labels": "Who wrote and performed the Oscar Nominated track Blaze Of Glory for the movie Young Guns 2?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4a991015dfbb452a9ab35244f9abe5e7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bleach\n", "labels": "Krist Novoselic and Dave Grohl were two thirds of which band, formed in Aberdeen (Washington State) whose albums include Bleach and In Utero?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-984e60ab38fd4afdb166c203c783b014"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the blind side\n", "labels": "Who won the 2010 'Oscar' for Best Actress for the film 'The Blind Side'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-947a9f24ab684e3f826e850012cda333"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blinky\n", "labels": "Who is (usually) pursued by Blinky, Inky, Pinky and Clyde?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bb20d1b1591e4133aeaed92cc011f682"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blithe spirit\n", "labels": "Which 88 year old Dame is currently appearing in Blithe Spirit in London?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cd510c5fd13e4e809930021f7abcdfc3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blonde on blonde\n", "labels": "Who has had albums called `Blonde On Blonde`, `Blood On The Tracks` and `Highway 61 Revisited`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8724d1ce66b043a7b3dd300171028614"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blondie\n", "labels": "What was Blondie's first UK number one single?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dde81bc2d842437e8c64ed5416f21986"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: major bloodnok\n", "labels": "Which UK comedy series featured the characters Eccles, Bloodnok and Bluebottle?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d2c8fa7da203422b9e8b36fe8f552d3c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: battle of blore heath\n", "labels": "In 1459, the Battle of Blore Heath in Staffordshire, England, 2 miles east of Market Drayton in Shropshire, was the first major battle of which campaign?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b4c6235247984d6a9c82a7142abe55aa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the blue angel\n", "labels": "Which film actress was born in Germany in 1904, went to America after appearing in the film Blue Angel, and became an American citizen in 1937?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-abab9813e8114476aafc4e3467e71560"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blue lagoon\n", "labels": "The cocktail 'blue lagoon' includes what alcoholic spirit?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-42d1b8445ac441f286901f73545b7fd8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blue peter\n", "labels": "In the TV show `Blue Peter`, who was the first presenter to actually be called Peter?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-90fa7509165d40a09de842dd3c3dbb60"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blue peter\n", "labels": "Later a 'Blue Peter' presenter, who played 'Steven Taylor', an assistant to William Hartnell's 'Doctor Who'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-90fa7509165d40a09de842dd3c3dbb60"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bluesology\n", "labels": "Which famous singer was a member of 'Bluesology' in the early 1960s, leaving in 1967 and changing his name to one that was a combination of the names of two members of the group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ee143c8aa48a47eeacb29020b0a4a8f5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blur\n", "labels": "What was the name of the single that Blur won the BRIT award for best single in 1994?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d4cc97cc885e4728a10aa7727fc44009"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: blur\n", "labels": "Which Blur album their first for 12 years reached the top of the charts in May 2015?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d4cc97cc885e4728a10aa7727fc44009"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boatswain\n", "labels": "The first two speakers in which Shakespeare play are a shipmaster and a boatswain?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b21835eb0aa0478eaf3e60f07a6639eb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bobby moore\n", "labels": "The cast of which Sylvester Stallone and Michael Caine film also included footballers Bobby Moore, John Wark and Ossie Ardilles?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9bd10b7a793d446ea4f0b5337f744ec0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bob dylan\n", "labels": "The Bob Dylan songs 'Desolation Row', 'Tombstone Blues' and 'Like A Rolling Stone' featured on which album?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-979d454605a7478c855ccd78fd3c20a7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bob ferris\n", "labels": "How are Bob Ferris and Terry Collier known collectively?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e9cde3d3f8124794956413627c3f2095"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bo duke\n", "labels": "In which TV series did cousins 'Bo' and 'Luke' drive a car called the 'General Lee'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-02219cd387b9427490bb2fe364deb531"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the professionals\n", "labels": "Who played Bodie and Doyle's boss, George Cowley, in the UK television series 'The Professionals'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-89f1b4f281174b89a76aeac2202961b8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the professionals\n", "labels": "Who played Ray Doyle, John Deed and George Gently on TV?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-89f1b4f281174b89a76aeac2202961b8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bodleian library\n", "labels": "The Bodleian Library is part of which highly regarded universtity?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3fb42e8efd61421eb2a030121279b800"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the body shop\n", "labels": "Who was the founder of the Body Shop company?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a4b9b010ba644a729bca3b621c7a9ee3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: humphrey bogart\n", "labels": "In which movie did Bogart have his first gangster part?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cb071fdfd6e84c0f87e8ca7ccccc300f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boilermaker\n", "labels": "A 'Boilermaker' is whisky chased with what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-15e43ad67f6c4921a1ac47ff1648c40b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bolivia\n", "labels": "What is the capital of Bolivia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3159376ef4684abcb63af486a2e5b4ea"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: river bollin\n", "labels": "The rivers Gowy, Goyt and Bollin are tributaries of which larger river?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dc56bdd756974721831e43b3ba54a851"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bolt\n", "labels": "Bolt, in the title of the 2008 movie, was voiced by which actor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f5d9b00b75844afcabaf7f05a2c2b70b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bolton west\n", "labels": "Which former Education (and Transport) Secretary is MP for Bolton West?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6104748b3357425fac09eb4f08383b9d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bonnie and clyde\n", "labels": "Who played Bonnie in the 1967 film `Bonnie And Clyde`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1abc0eb1d56c4e8ba074b039e4b21d7e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: man booker prize\n", "labels": "Which book by Mark Haddon was the Booker Prize winner in 2003?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-665b3c2ddd66472d88620c70cebec741"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: man booker prize\n", "labels": "Who wrote the 1980 Booker Prize winner Rites of Passage!?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-665b3c2ddd66472d88620c70cebec741"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: horton hears a who!\n", "labels": "Released in March 2008, the film 'Horton Hears A Who !',starring Jim Carrey, was based on a book of the same name by which author?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-055aa0c06152425189b1590ef40b4cc5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: borachio\n", "labels": "Borachio is a villain in which Shakespeare play?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4ed8ef2302934b08af461c082df91285"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: born free\n", "labels": "Who sang the theme song to the film Born Free?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99902431ddbb416590dbe1963ea925f1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bornholm\n", "labels": "The islands of Falster and Bornholm are part of which European country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4b09949c52c441fd89962517f3c3a62b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: born yesterday\n", "labels": "Who won the 'Oscar' for Best Actress in the 1950's film 'Born Yesterday'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0acb2abeb16b45e6819cfd496ae6a3ba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: borzoi\n", "labels": "Where did the borzoi dog breed originate?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ec286352b41b415c892f6ef2c25abd39"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bosnia and herzegovina\n", "labels": "What is the capital of Bosnia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-48eb37b2172549f1918d6ec94aa667fe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bosnia and herzegovina\n", "labels": "What is the capital of Bosnia and Herzegovina?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-48eb37b2172549f1918d6ec94aa667fe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boston\n", "labels": "Boston is the capital of which American state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b073d932e5744b7daef7df88cd83100e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boston\n", "labels": "Oct 21, 1797 saw the launch of what famous frigate, the world's oldest commissioned warship, in Boston Harbor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b073d932e5744b7daef7df88cd83100e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the bostonians\n", "labels": "Which novelist wrote 'The Bostonians'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-53bc968a58f74396b159301df695024c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: botswana\n", "labels": "Which country's territory includes a long narrow east-west tongue separating Zambia from Botswana?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-29a0d3fdb2df4913aca5855575738738"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boundary park\n", "labels": "Which English football league club play their home games at Boundary Park?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-91346afea69343e0bc1ff278063ffeef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bourbon\n", "labels": "Bourbon whisky is named after a county in which US state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b5c5ad96d0344088e904457b120a0e3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boutros boutros-ghali\n", "labels": "In 1992, Boutros Boutros-Ghali became head of what organisation?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-eaea8af46373493c83c727372c7ca181"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bowery\n", "labels": "The Bowery is a street in which US city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-172b8241922c4235a940dfef98cd2525"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bowie\n", "labels": "Bowie's mother appeared with him in the innovative video for which song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cab3955926e24ddf8586c4f60d075dcb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boxing\n", "labels": "Late US professional boxer Walker Smith Jr was better known by what name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b97de811cccc4a3182895e6a81f925ef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boxing\n", "labels": "Who is the only professional heavyweight boxer to have retired undefeated?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b97de811cccc4a3182895e6a81f925ef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boxing\n", "labels": "Which British boxer is nicknamed 'King Khan'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b97de811cccc4a3182895e6a81f925ef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boxing\n", "labels": "On November 22, 1986, which boxer became the youngest WBC Heavyweight champion, at age 20 years, 4 months, when he scored a TKO over Trevor Berbick in the second round?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b97de811cccc4a3182895e6a81f925ef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boxer rebellion\n", "labels": "Which film classic was based around the Boxer Rebellion?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6a8245e9d0a44193a9be2f9e47292f02"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boxer rebellion\n", "labels": "The Boxer Rebellion was an uprising that took place in what country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6a8245e9d0a44193a9be2f9e47292f02"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the boys from brazil\n", "labels": "Who wrote The Stepford Wives, Rosemary's Baby, and The Boys from Brazil?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9b06aa62b2d34d9797de3d823b8b0e33"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the boys from brazil\n", "labels": "Which former Nazi war criminal was the subject of Ira Levin's 1976 novel The Boys from Brazil'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9b06aa62b2d34d9797de3d823b8b0e33"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boys from the blackstuff\n", "labels": "`Gissa Job` was the catchphrase of which character from the TV show `Boys from the black stuff`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-27bcb900f4e74cc3bce15ca76962e096"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bradley cooper\n", "labels": "In which 2010 film are the main characters played by Liam Neeson, Bradley Cooper, Quinton Jackson and Sharlto Copley?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-09553aa412754765bb8fb92c1964385e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brad pitt\n", "labels": "What is the title of the 1999 film, starring Brad Pitt and Edward Norton, which was adapted from Chuck Palahniuk's 1996 novel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-517d6a7c25894068b309c55eca1d3ae6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: at home with the braithwaites\n", "labels": "Which BAFTA-nominated television writer has created the series Scott & Bailey. At Home with the Braithwaites for ITV and Last Tango in Halifax and Happy Valley for the BBC?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2afaf76c76dc49488d7803acc79f59c9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: georges braque\n", "labels": "What highly influential movement of artwork is considered established by Picasso, Braque, Metzinger and others in Paris, 1911?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a871b62bee7947158dcfd2be54bbf411"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brass instrument\n", "labels": "Named after the Greek words for good and sound, what is the valved brass tenor instrument resembling a small tuba?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d3fc978e9ebc45f58bea8c34560d1d9c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: braunau am inn\n", "labels": "What notable leader was born in Ranshofen, near Braunau, Austria, in 1889?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5722b9a5227641de98314928f21f663d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: braun\n", "labels": "As at 2008 which corporation owns the brands Duracell, Braun and Gillette?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-02ea1eb70db54a5d92b82374cead5c6f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: braveheart\n", "labels": "Who directed the 1995 film 'Braveheart'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8b719b041e624b57b44de14f6a4ccc5e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: braveheart\n", "labels": "More familiar for television roles, who played King Edward the First in the film Braveheart?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8b719b041e624b57b44de14f6a4ccc5e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bray, berkshire\n", "labels": "What is the name of Heston Blumenthal's restaurant in Bray, Berkshire?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4e02e9294f1443138429ad9011e8d5f7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brazil\n", "labels": "What is Brazil's most widely-spoken language?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b07afb86b7f54a6d843e56149f512d45"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brazil national football team\n", "labels": "Brazil are hosting the next World Cup but who is their coach?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-287a45f4f1714592a2164179d8cb6452"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: breakfast at tiffany's\n", "labels": "Who directed the 1961 film 'Breakfast At Tiffany's'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01c598bb728e4f9fb6d8d7413da7f69b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: breakfast at tiffany's\n", "labels": "Who played the male lead in the film 'Breakfast at Tiffany's'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01c598bb728e4f9fb6d8d7413da7f69b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: breakfast club\n", "labels": "What director created the popular 1980's films The Breakfast Club, Sixteen Candles, and Ferris Bueller's Day Off?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-656973db8dea4ebcabf373ff8555bb7e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brenda fricker\n", "labels": "What film, sub-titled The Story of Christy Brown, is a 1989 drama directed by Jim Sheridan and starring Daniel Day-Lewis, Ray McAnally, Brenda Fricker, Fiona Shaw, Julie Hale, Alison Whelan, Kirsten Sheridan, Declan Croghan, Eanna MacLiam, Marie Conmee and Cyril Cusack, that tells the true story of an Irishman born with cerebral palsy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a9e7500dee741bfb1c748aa4dd94927"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brendan fraser\n", "labels": "Which 1998 film, starring Lynn Redgrave, Ian McKellan and Brendan Fraser centred on the life of film director James Whale?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1b032f368063472a88d4b6a562aa1bf5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brett\n", "labels": "The astronauts Dallas, Ripley, Kane, Lambert, Brett and Parker, are characters in which 1979 science fiction film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9331f35642e14229990ad3184188fada"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brian\n", "labels": "Which TV series had characters called Dougal, Zebedee, Brian, Ermintrude, Dylan, Florence and Mr Rusty?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-520947591c294ab291362e7f605739e0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brian warner\n", "labels": "By what name is Brian Warner better known as in the music world?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c5c0803cb24741319446f12714684c5e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bridalveil fall\n", "labels": "The Bridalveil Waterfall is in which US national park?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-49839f96132e4ce2827cfa5056b3cbfa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the bridge on the river kwai\n", "labels": "Which knighted British composer wrote the musical score for the 1957 film, Bridge on the River Kwai?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ce3f755b82ba479db06a32a87a96a9ba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the bridge on the river kwai\n", "labels": "Bridge River Kwai - Bridges Toki Rio - what actor links films?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ce3f755b82ba479db06a32a87a96a9ba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bridget jones\n", "labels": "Who wrote `Briget Jones` Diary`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5ffbd1e56a8646ef9868de7efd453994"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brief encounter\n", "labels": "Who wrote the play Still Life, on which the 1945 film Brief Encounter was based?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c762c6c0f27a42bbbfd6a85eabbfcd45"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bright eyes\n", "labels": "Which actress began her professional film career aged six in Bright Eyes in 1934?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e18860dc07334554ad3b353fbffb49b9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bright eyes\n", "labels": "Who wrote the Art Garfunkel number one hit 'Bright Eyes'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e18860dc07334554ad3b353fbffb49b9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: royal pavilion\n", "labels": "Which late 17th and early 18th century British architect designed Brighton Pavilion, Marble Arch, and the plan for London's Regents Park?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dc1c30e63ae14203b0906e0e1c65ffaf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brimstone\n", "labels": "Brimstone is an old word for which chemical element?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-887585bfb83f4e37b15b49f408a3d6f8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bring up the bodies\n", "labels": "Who wrote the 2012 Man Booker prizewinning novel Bring Up the Bodies?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e852a05badd74019b819413e5ddb5aed"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: britain\n", "labels": "After Harold McMillan who was Britain's next Prime Minister?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-19f9404c0eb042d4994ba250328098dd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: britain\n", "labels": "Fontwell Park, Fakenham, Ffos Las and which other horse racing venue in Great Britain begin with F?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-19f9404c0eb042d4994ba250328098dd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: britain\n", "labels": "After which war did Britain gain Ceylon. Mauritius, Trinidad and Tobago?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-19f9404c0eb042d4994ba250328098dd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: british columbia\n", "labels": "What is the capital of the Canadian province of British Columbia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-98e7806de66a4565b4ccef2e5c754271"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: british longhair\n", "labels": "Abyssinian, British Longhair and German Rex are all breeds of what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f63c8c7ee9b84d03910a51fdd2db233f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prime minister of the united kingdom\n", "labels": "Who became British Prime Minister in October 1922?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e409911ede004dee82acec61d34ee74c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prime minister of the united kingdom\n", "labels": "Who became British Prime Minister in October 1809?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e409911ede004dee82acec61d34ee74c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prime minister of the united kingdom\n", "labels": "Who was British Prime Minister at the time of the Jarrow March?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e409911ede004dee82acec61d34ee74c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prime minister of the united kingdom\n", "labels": "Who became British Prime Minister in June 1970?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e409911ede004dee82acec61d34ee74c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prime minister of the united kingdom\n", "labels": "Which British Prime Minister said 'A week is a long time in politics'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e409911ede004dee82acec61d34ee74c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prime minister of the united kingdom\n", "labels": "In the 1950's who succeeded Winston Churchill as British prime minister?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e409911ede004dee82acec61d34ee74c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: secret intelligence service\n", "labels": "In James Bond novels and films, what is the codename for the fictional research and development division of the British Secret Service?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ca91a42ac642464e87fb1879137c2485"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: uk independence party\n", "labels": "What is the name of the leader of the British UKIP Party?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e1b75dd1514442f58f6444282cddeb29"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: british union of fascists\n", "labels": "Who founded the British Union of Fascists in 1932?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7afd29d86f1d4caf80d5c246ee946ff2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: britt ekland\n", "labels": "Who was actress Britt Ekland's first husband?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-38298f9cdae04e4faa6407ea6f99dca2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brixham\n", "labels": "What is the name of the coastal headland at the southern end of Torbay in Devon lying to the South East of Brixham  It includes a lighthouse that was built in 1906, the site of an Iron Age fort and refreshment cafe.?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-286a7f79dd0e4742815e0c39c93b5fe2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: broadway danny rose\n", "labels": "Who was in the films Zelig, Stardust Memories, and Broadway Danny Rose?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-337ddae9a74041caa31f4973b62c46c0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brokeback mountain\n", "labels": "Who wrote the short story on which the 2006 film 'Brokeback Mountain was based?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ed3f275a433541459321a4186441e2c8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: a bronx tale\n", "labels": "Who starred in and directed the 1993 film A Bronx Tale?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e4c1bf147f28472db82959b48e1caf09"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brooke mueller\n", "labels": "Who is the father of the twin boys born to Brooke Mueller on 14 March 2009?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-222e107eddfa4757b5a794f4037e39cd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brookside\n", "labels": "Who created Brookside and Hollyoaks?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3841598216b14fcb977eb3fd42a5c90b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: captain fantastic and the brown dirt cowboy\n", "labels": "Who made the album Captain Fantastic and the Brown Dirt Cowboy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-06157f4c94844ca08b064619a95d9bdc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: mrs. brown's boys\n", "labels": "Who plays the part of Mrs Brown in the TV comedy Mrs Brown's Boys?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6a9b6231a4834dce855eedd94f0db427"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bruce lee\n", "labels": "In which country was kung fu expert Bruce Lee born?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ac934f8e33df4b2e98ef828d6e7be816"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bruce springsteen\n", "labels": "What was Bruce Springsteen's first number one album in the U.K.?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dae95d0e237f4631a28e177af451462f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bruce springsteen\n", "labels": "Rock musician Bruce Springsteen and the TV crime family The Sopranos hail from which US state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dae95d0e237f4631a28e177af451462f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bruce willis\n", "labels": "Which of the core cast of the TV series Friends also appeared in the 2000 film The Whole Nine Yards with Bruce Willis?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9fb7ad2e3621437883f5353f57793787"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bruges\n", "labels": "In what country would you find the city of Bruges?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cdd7b6938a6d4cacb5e3fa6bbbb3ee64"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brunei\n", "labels": "What is the capital city of Brunei?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-06b4baca9ba84b308346a10fd46e197d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bruno\n", "labels": "Drizella Tremaine, Gus, Bruno and Lucifer are all characters in which Disney film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cb71344b543f4143aab1fb35dbfce530"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: kiss me, kate\n", "labels": "In which musical would you hear the songs Too darn Hot and Brush up your Shakespeare?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6a1a54a8737147b4bc72f120433f899e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brutus\n", "labels": "In which of Shakespeare's plays is Brutus described as the noblest Roman of them all?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-65ab2774dd4e442282f8180561a455c7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bryan cranston\n", "labels": "Which US crime drama TV series ran from 2008-2013 and starred Bryan Cranston in the leading role?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ae9d42bab1ab4e56894cbb1f7add63f0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bryan habana\n", "labels": "South African rugby winger Bryan Habana was named after which famous English sportsman?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-06201a12b0224780a8562ad54bd3051b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brynn omdahl\n", "labels": "May 28, 1998 saw the death of what Saturday Night Live alum, and voice of Lionel Hutz and Troy McClure on The Simpsons, who was shot while he slept by his wife Brynn Omdahl?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-739b2b3b7ede40c3b03783a5d653a23f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: buckingham palace\n", "labels": "Which British monarch is the only one to have been born at Buckingham Palace?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-85aaa69c4610443e95b92825c6c4a854"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: buddh international circuit\n", "labels": "The Buddh International Formula One circuit is in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-80b4b18cee634c1eab4c98a780484fcf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: buddhism\n", "labels": "Which Sanskrit word appears as a concept in both Buddhism and Hinduism, etc., and means Law or Natural Law?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7895f02211ec4dc686bbbdcfe99e0207"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bugsy siegel\n", "labels": "Who has played Dick Tracy, Bugsy Siegel and Clyde Barrow on film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ee25f2ce66154873a2127b5f316fe5f2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bullseye\n", "labels": "Who was the scorer and announcer on 'Bullseye' who frequently felt the need to say Take yer time to the contestants?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5738d27413c74e089413e87290d085e6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bundesliga\n", "labels": "In which city is the largest football stadium in Germany, home to the 2010-2011 Bundesliga champions?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-55ed70fa2ec04c58bacf2ecaf0784691"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: burn it down\n", "labels": "Who had a 2012 hit with Burn it Down?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-35eb6f7508384cb1abb675f72fac8460"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: burnt norton\n", "labels": "How are the poems 'Burnt Norton', 'East Coker', 'The Dry Salvages' and 'Little Gidding' by TS Eliot known collectively?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3792357fda614a3480ade2bc290170b3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: appendicitis\n", "labels": "Who died of a burst appendix after being punched in the stomach?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b6a81d6c230a402697bb20634c535b64"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bury\n", "labels": "Which authoress (1890-1969), surname Lamburn, was born in Bury?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9231bd79a03b43c19f9dd9b5bde940df"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: butch cassidy and the sundance kid\n", "labels": "What famous song from the film Butch Cassidy and the Sundance Kid won an Oscar for best song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2663cc1bff88410cbad8e542ba07e1b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: butlins\n", "labels": "Which English seaside town had the first Butlins camp?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-edb281d4b0264da68ef4a98525a11e09"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: butterfly\n", "labels": "Who had a number one in the fifties with Butterfly?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8c86952a4edf45c68a6890f4779194f1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bye bye love\n", "labels": "Bye Bye Love in 1957 was the first hit single for which duo?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-730f7d17055c493f994402de24b82a5a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cabaret\n", "labels": "Who is the central female character in the musical 'Cabaret'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e847466a63af422ca9abb12866229344"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cabaret\n", "labels": "Who wrote the music for the musical (and later, film) Cabaret?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e847466a63af422ca9abb12866229344"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cable guy\n", "labels": "Who directed The Cable Guy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-442476a0e3104a8988c61a2c161fd832"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: opuntia\n", "labels": "Which is the only cactus fruit that is widely eaten?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d9b88c6b569a4efd8e2dc3d58bee1112"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cadbury\n", "labels": "Which company began a hostile takeover bid for Cadbury in September 2009?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a522e55283f548129ffd25dce8a43f88"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cadbury\n", "labels": "In January 2010 Cadburys advised shareholders to accept a bid from which food company?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a522e55283f548129ffd25dce8a43f88"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: caernarfon castle\n", "labels": "Which English King was born at Caenarvon Castle in 1284?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b10d0a16f6544ce895de7bde0886cf0b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: caerphilly\n", "labels": "Which entertainer had a statue erected in his memory in his home town of Caerphilly in 2008?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7398ac6739454af7bd430a247bff4fc5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: julius caesar\n", "labels": "Who was Caesar stabbed first by in the Shakespeare play?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-39efc3b46ee04458b8b3561e82d816c2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cagliari\n", "labels": "Cagliari is the capital of which island?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ed9f019df993488f91996f69f87e2e8d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: calamity jane\n", "labels": "The film 1953 Calamity Jane produced which hit for Doris Day that reached #1 on the Billboard charts in 1954?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-390d711075504f0d828c296a82cc8453"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: call my bluff\n", "labels": "Who hosted Call My Bluff?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7d222439007c44a484f9e9bb10d25770"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cambodia\n", "labels": "Cambodia, which over the course of 1841 to 1953 was under the joint suzerainty of Thailand and Vietnam then was a monarchy under the protection of France which included an occupation by Japan, was steered to independence in 1953 by whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fb40c989d2a9467592f801393cdf8c3b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cambridgeshire\n", "labels": "Which county was absorbed into Cambridgeshire in 1974?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a6b95e0fe41b404fb08a6ed1a63f3406"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: university of cambridge\n", "labels": "In 1948 which South African became the first person from outside the UK to hold the post of Chancellor of Cambridge University, a post he held until his death in 1950?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-949f9f37722144b3921ba5bc0905c38c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: camelot\n", "labels": "Camelot was the legendary court of whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-22c4a228adfc4351a798270826d1fdd8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: camelot\n", "labels": "Who played King Arthur in the 1967 musical film Camelot?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-22c4a228adfc4351a798270826d1fdd8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cameroon\n", "labels": "With a population of over one and a half million inhabitants, what is the capital city of Cameroon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a7bb1ed3560949819cd57a8d631dbb50"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: canada\n", "labels": "In 1999, which became the newest of the territories of Canada when it was officially separated from the vast Northern Territories?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9328da614d2544c88cb96e3da0d46332"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: canada\n", "labels": "Where on Prince Edward Island, Canada, is Anne of Green Gables located?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9328da614d2544c88cb96e3da0d46332"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: canada day\n", "labels": "What is Canada's national day (Canada Day)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9dc7766e30474911ab52274b4802d810"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: canal\n", "labels": "The Pedro Miguel lock is on which canal?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-24961ae0b27541ebad2ff6a98c8d302f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cancer\n", "labels": "In western astrology, to which element do Cancer, Scorpio and Pisces belong?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8c8641de79bc463882455a9843b29434"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: candida\n", "labels": "Whose 'Plays Pleasant' included `Candida' and 'You Never Can Tell'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-21ae0b9585a44556a658470c48481061"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: canvey island\n", "labels": "Sheppey and Canvey are islands in which English river estuary?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-727a6cfc94a1490dbce51b76c3355f05"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: capellini\n", "labels": "Capellini, Tagliatelle and Ditalini are types of what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8014314565da499e98f870ab99ec7015"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cape town\n", "labels": "Which mountain overlooks the city of Cape Town in South Africa?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b9551643c015410e81da52203f2bcfc7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: columbia, south carolina\n", "labels": "What is the US state capital of South Carolina?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-491fb3ca9e774bfbb9977fba889273e6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: bern\n", "labels": "What is the capital of Switzerland?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d065fc54cd164eabaf90a6383498f2a6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charleston, west virginia\n", "labels": "What is the state capital of West Virginia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1fea489c6aa94393abcd6f2cc9224be1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charleston, west virginia\n", "labels": "What is the US state capital of West Virginia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1fea489c6aa94393abcd6f2cc9224be1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: capricorn\n", "labels": "The Tropic of Capricorn is feature on which planet?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bff95f7868724e07bee562a3c88e9f92"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: capsicum\n", "labels": "What kind of fruit or vegetable are capsicums?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-570ba8b3c7a4436eb4f09672efcabd9c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: captain haddock\n", "labels": "What series of books would you go to to read about Snowy, Captain Haddock, Professor Calculus and Thomson and Thompson?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-28aad765206d49e5a9337c2a535e66e5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: jean-luc picard\n", "labels": "Who played Captain Jean-Luc Picard in the television series 'Star-Trek: The Next Generation'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f151bc43ac71407294822b9c302e1d9a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: captain sensible\n", "labels": "Dave Vanian, Brian James, Captain Sensible and Rat Scabies were the original members of which punk band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c4bbdb9c030043a1bcbba37607e86564"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: captain smith\n", "labels": "Which actor played the part of Captain Smith in the 1997 film `Titanic'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-138bd6757a0c429b93ce6b8ff7dde0a7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: renault captur\n", "labels": "Which motor manufacturer produces the models Twingo and Captur?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dccc9e6dc6d14f9d9b21e237cd40c988"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carbon dioxide\n", "labels": "Solid carbon dioxide is commonly known as what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99a5da7553ce454ead34fa35bb822c39"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: card game\n", "labels": "Which variety of solo card game patience takes its name from a gold rush location in the Yukon Territory?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cb2743ed1c184f38bc0b7b7baa3f2704"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the card players\n", "labels": "Which Impressionist artist painted The Card Players circa 1892-4?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e2a603233359490899bd7e7a4a9f5224"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the card players\n", "labels": "Which post-impressionist painted The Card Players in 1892?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e2a603233359490899bd7e7a4a9f5224"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cards on the table\n", "labels": "Which detective is the protagonist of the novels Dead Man's Folly, Cards on the Table and Mrs McGinty's Dead?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a66afc600c648ee97d3de3dae98db48"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: careless whisper\n", "labels": "Whose first solo number one single was 'Careless Whisper'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-75bb37f300b745d9be4719210d956112"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carey lowell\n", "labels": "In November 2002, which actor married the Bond girl Carey Lowell in New York?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-27c52bebac784bee88a8c1d3d8fa08f5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carillon\n", "labels": "A carillon is a set of at least 23 what, often located in a tower, each producing a musical note and usually played from a keyboard?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-214d350ad3c541e89e35721c250d1549"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carl douglas\n", "labels": "Which record by Carl Douglas was Number One in 1974?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7313177b02b64ac0b3f0f8874b6e5ba9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carl moll\n", "labels": "Artists Gustav Klimt and Carl Moll were born in which European country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-300ec73efa5d4d519b3f6605ea3fb6f1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carlo petrini\n", "labels": "In 1989 Carlo Petrini founded what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-70ec42a38da648b3a0147ccc8a34382c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carlos acosta\n", "labels": "In which country was the ballet dancer Carlos Acosta born?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-77de3c7221734ed088142d08130d79a1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carlsbad caverns national park\n", "labels": "In which American state would you find the Carlsbad Caverns National Park?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7c000121b0554af8bb2e8bbfe6c6a01c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carmen\n", "labels": "Which composer wrote the operas 'The Pearl Fishers' and 'Carmen'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2a51f0710955408c8a9c9b4578c9d2f7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carmen silvera\n", "labels": "In the TV comedy series, 'Allo, 'Allo, what was the name of Rene Artois' wife, played by Carmen Silvera?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ff2baf67b79646c5a2183a6acc50ce28"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carmina burana\n", "labels": "Who composed the oratorio Carmina Burana?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f9a929dd2c6f424f91158fac6dc1dfaa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dianthus caryophyllus\n", "labels": "To which genus of plants do Sweet William and Carnations belong?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-02e310985beb45078c099e76b66d4c6f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: caroline corr\n", "labels": "With which instrument would you associate Caroline Corr?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cf88862c470f4136b475d8f7f723ee48"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carpo\n", "labels": "Carpo and Elara are moons of which planet?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-677b800863b948c7af6d510b41018ba6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carrie bradshaw\n", "labels": "Which TV show featured the character Carrie Bradshaw?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0f80cf70ce1740089c4c2fd419366b41"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carrie bradshaw\n", "labels": "Who plays Carrie in the TV series `Sex and the city`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0f80cf70ce1740089c4c2fd419366b41"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carrie\n", "labels": "Who played Carrie in the 1976 horror film of the same name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-25739899b07e4f53b74320411be02549"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carrie fisher\n", "labels": "Carrie Fisher is the daughter of which actress?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9fd5a4d2d12e4361989902f20f6284cc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carry on\n", "labels": "Which of the Carry On film featured the `3rd Foot And Mouth Regiment`, the `Devils In Skirts`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f55fa9d13e754936b75a7596a72c9dc4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: carry on\n", "labels": "Which actor appeared in the most 'Carry On' films?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f55fa9d13e754936b75a7596a72c9dc4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: casablanca\n", "labels": "In the line in `Casablanca` which is often misquoted as `Play it again, Sam`, what song is Sam asked to play?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-18f05e5394f14211939214d7d828abe4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: casablanca\n", "labels": "The film `Casablanca` is set around which war?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-18f05e5394f14211939214d7d828abe4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cascades\n", "labels": "The Cascades were one hit wonders in the U.K. what was the name of their one and only chart entry?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f33880bdda8440ca8d14bee7e23804ee"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cascais\n", "labels": "In which European country is Cascais Beach?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dfb3246333ae4a5d83394cf2554b7f0b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: casino\n", "labels": "Which actress was nominated for a best actress Oscar for her performance in the 1995 film `Casino`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3d58a1835c5b4e1f838e11d809b8cdcb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cassius marcellus clay\n", "labels": "January 17, 1942 saw the birth of one Cassius Marcellus Clay, Jr. Nicknamed The Louisville Lip, under what name did he achieve boxing immortality?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-82bafc115fc646b8a678d20960a058b4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: castilla-la mancha\n", "labels": "Which city, once the capital of Spain is now the regional capital of Castilla La Mancha?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-41c64d64c8e74c22be9b78614ce45bf4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the castle of otranto\n", "labels": "'The Castle of Otranto' often called the first gothic novel, was written in 1764 by whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ecf71e3fec3f44e188ed6e8db0076ce2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: catfish row\n", "labels": "Who wrote the music for what he described as an American folk opera, which was set on Catfish Row?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0a62efd44daf4f0982402cc8cc65f5a6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: pet door\n", "labels": "which famous person invented the cat flap?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e0cdbe5281c6490da2b403fff96a3fc1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: northanger abbey\n", "labels": "Which author created Elinor Dashwood, Emma Woodhouse and Catherine Morland?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-353a9c719b3548a1a9b233be6531b919"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: catherine tramell\n", "labels": "In which film did Sharon Stone play the character 'Catherine Tramell?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-04df60f5f2fb48f1a060aaffc54a4ede"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cats\n", "labels": "Who wrote the music for the musical Cats?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b310dfed5b5475b83a750f3771001f5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cats\n", "labels": "Who played Old Deuteronomy and Bustopher Jones in the original London production of Cats in 1981?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2b310dfed5b5475b83a750f3771001f5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cat's eye\n", "labels": "Who invented the road safety feature 'cat's eyes'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-060928997bad45168b25ca9a17a557d0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: catskill mountains\n", "labels": "The Catskill Mountains lie mainly in which state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8cfe44f7a3e7419da6c8eb1095fbaa13"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cat who walks through walls\n", "labels": "Starship Troopers, Stranger in a Strange Land, The Moon is a Harsh Mistress, The Cat Who Walks Through Walls?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b251124b50be4b3cba7d2d524dc11ace"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: caucasus mountains\n", "labels": "Which is the highest peak in the Caucasus Mountains?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b44dc00760f1414c8b97028babeb8719"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cave of altamira\n", "labels": "Where would you find the Caves of Altamira, famous for prehistoric paintings on the rock?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-adf637c1dc4d47b790c09de03a80f97d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clostridium difficile\n", "labels": "In the name of the unpleasant bacterium c. difficile, what does the 'C' represent?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9e156ba34bfe4495b575ff7ffb04566a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: kia cee'd\n", "labels": "Which motor manufacturer makes the Cee'd and Picanto models?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e3f438bb23b8440c825c69c8c88d1e5f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: celebrity big brother\n", "labels": "Who was the last person to leave the house in the first UK television show of Celebrity Big Brother in 2001?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-69edc12b347c429fb9117e1528f4c8bb"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: celia johnson\n", "labels": "In which film did Noel Coward play Captain E V Kinross and Celia Johnson his wife Alix?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-79dc761c20f74a9d96877e75c78cd3b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: boston celtics\n", "labels": "The Celtics are a professional basketball team based where?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e69e8e9705934d209a4079efb383f160"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chief executive officer\n", "labels": "The youngest person in the world to earn $1,000,000,000, who is the CEO, President, and Co-founder of Facebook?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ae29a405e8894e1688776c11ff7fd0ab"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chad\n", "labels": "What country lies to north of the Republic of Chad?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6b8a5a104f6f475c87e2bd097f802370"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chad\n", "labels": "Chad shares the vast majority of its eastern border with which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6b8a5a104f6f475c87e2bd097f802370"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: channel 5\n", "labels": "Suzy Perry is a presenter on which Channel 5 programme?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-34fab47d5ba94e5a85a623ee7dbcdc4a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chantilly lace\n", "labels": "What was the stage name of Jiles Perry Richardson, Jr., a singer and songwriter from 1957 until his accidental death in 1959, who is best known for his recording of Chantilly Lace?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d7523b2b3c1345f38d0a92963b7d8a14"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chaplin\n", "labels": "What was the last silent film in which Chaplin's little tramp appeared?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b761726fd36f4fa088f823c18f302f48"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "Mr Barkis, Edward Murdstone and Tommy Traddles are all characters in which Charles Dickens novel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "..A tale of the riots of eighty completes the title of which work by Charles Dickens?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "'Now what I want is, Facts' is the opening line of which Charles Dickens novel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "Which Charles Dickens novel has two title characters, both called 'Paul' and a full title that ends with the words: 'Wholesale, Retail and for Exportation'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "The obsequious ever so 'umble money-lender in Charles Dickens' novel David Copperfield, is?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "Where in London is Charles Dickens buried?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "In which Dickens novel do the characters 'Gaffer Hexam', 'John Harmon', and 'Bradley Headstone'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles dickens\n", "labels": "What principal Dickens character wears a wedding dress throughout her appearance in the novel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-005261f4d2a2414e8900bd91150af397"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles gray\n", "labels": "Donald Pleasance, Telly Savalas and Charles Gray have all played the role of which James Bond villain?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f31236c83a5248acb286707e11637fca"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charles perrault\n", "labels": "The life of 15th century French serial killer Gilles de Rais is believed to be the basis of which story by Charles Perrault?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-97a408d6b73a4831a1f8ec951dfcf235"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the italian job\n", "labels": "Formerly known as 'Marky Mark', who played 'Charlie Croker' in the 2003 film 'The Italian Job'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cb56bc33a02245eb892ed9718080d5ef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charlie pace\n", "labels": "In the TV series 'Lost', who played a rock musician from Manchester called Charlie Pace?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c1de94f5167c4956972777f6554863a0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charlotte cooper\n", "labels": "The British sportswoman Charlotte Cooper, born in 1870, was famous in which sport?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-58990cb9196941d9a6fcc76875ef5f2f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charlottetown\n", "labels": "Charlottetown is the capital of which Canadian province?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-99a306ddc96c4f499cee43408bf739f9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: charon\n", "labels": "What has a moon named Charon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-26d0454d72694487af5effafa42413ea"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chechnya\n", "labels": "What is the capital city of Chechnya?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d55e163a5689498791cf239fdae3bb99"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cheers\n", "labels": "What star of the NBC sitcom Cheers was later the focus of the Showtime TV series Fat Actress?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c1304f3a68e64a6dba197fde927439d2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cheese\n", "labels": "What particular type of cheese is made from the milk of water buffalo raised in designated areas of Lazio and Campania on the west coast of Italy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-319bc5045ef747c8ab5271a8797063b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chef\n", "labels": "What is the name of the actor and singer who voiced the character 'Chef' in the animated series 'South Park' from 1997 to 2006?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e9156d78574c4191a6fc7532f6bd7d39"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chelsea f.c.\n", "labels": "Which Dutchman managed both Newcastle and Chelsea in the 1990s?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-95809504e6c24ce5a57118c802b586c4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chelsea\n", "labels": "Which British Prime Minister, born in Chelsea in February 1894, died on December 29th 1986 aged 92 ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-49d2427c1807417086e1771c68a7adea"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chenille fabric\n", "labels": "What are muslin and chenille?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-edb159e85bea4da5b19f510145910783"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cherry orchard\n", "labels": "Which playwright wrote The Seagull, Uncle Vanya, and The Cherry Orchard?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8fb6ddb4906042398efbc452bd429f44"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cheryl crane\n", "labels": "Cheryl Crane, aged 14, the daughter of which US actress, fatally stabbed her mother's boyfriend, Johnny Stampano in 1958, while defending her mother?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-88d509f9db284dc3969bac0862e7eb76"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cheshire\n", "labels": "The 66 mile long Shropshire Union Canal links the city of Wolverhampton to which town situated in Cheshire?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3d17f34f81c54ab8a813b773727fe715"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cheshire west and chester\n", "labels": "Deva was the Roman name for which Cheshire city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8a428a4d74f24c25982f48fe2b7e75f9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chesley sullenberger\n", "labels": "What was the job of Chesley B Sullenberger III that made him famous on 15 January 2009?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-980a90c89e12483f99391d976374374a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chester carlson\n", "labels": "In 1947, a research physicist Chester Carlson set up which company to sell his invention, an office machine?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d929f09e3e934b7792281089c4bd2a06"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chester gould\n", "labels": "What long running comic strip character, created by Chester Gould, is described as a hard-hitting, fast-shooting and intelligent police detective with a love of trench coats and fedoras?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-38b3a5f13f9f46ba91bb985ebf178e6e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chevrolet\n", "labels": "What car, intended as a competitor to the Ford Mustang, was unveiled at a press conference by Chevrolet on 12 September 1966?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bfc50a1489914fa487ee8ccfec8f18a4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chewbacca\n", "labels": "What type of creature is Chewbacca?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d43c6fb9ae774d4db52ddd9e13787b97"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chewbacca\n", "labels": "In Star Wars, what species is Chewbacca?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d43c6fb9ae774d4db52ddd9e13787b97"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cheyenne\n", "labels": "What American state has the capital Cheyenne?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7ea4abc14fb4fbd87c11fa390753aa7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chicago blues\n", "labels": "'Smokestack Lightnin' and 'Red Rooster' were originally recorded by which Chicago blues singer?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9d5b2418c9c246c080fa62d925f00b4b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chicago symphony orchestra\n", "labels": "Born in Argentina in 1942, which pianist and conductor has been has been music director of the Berlin State Opera since 1992, and was music director of the Chicago Symphony Orchestra from 1991 to 2006?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-30525b78155b4ce898a4fa724ee98afa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chicano rock\n", "labels": "Who was the forefather of the style known as Chicano Rock?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1d750dac88ef45dcaa8881d25951934b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: egg\n", "labels": "What is the common name for the part of the chicken egg known as the albumen?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8e654d14a0854169ab928ac4727164dc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: egg\n", "labels": "In French cuisine, what is the name for a baked dish originating in Germany that is based on a custard made from eggs and milk or cream in a pastry crust, which usually is blind baked before the other ingredients are added for a secondary baking period?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8e654d14a0854169ab928ac4727164dc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: childbirth\n", "labels": "Which word beginning with 'o' is the branch of medical science that deals with pregnancy and childbirth?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-86c1afe34c1547d881cedb1fb5da3072"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: a child's christmas in wales\n", "labels": "Which British poet wrote 'A Child's Christmas in Wales'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-28c0abfb01344d0c81bf2a8a0a52b133"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chim chim cher-ee\n", "labels": "Chim Chim Cheree, I Love to Laugh and Feed the Birds are all songs from which film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fe1ed45e20434c6a84c7e45373a591ee"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chimpanzee\n", "labels": "What is the name of Tarzan's chimpanzee friend?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c07a58a6f5ac4244866af10f59147409"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: china\n", "labels": "The Gobi desert is situated in China and which other country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-425ddbdf62e74381a28761f984ca6252"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: china\n", "labels": "What country does China have its longest land border with?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-425ddbdf62e74381a28761f984ca6252"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: china\n", "labels": "In population terms, what is the largest city in China?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-425ddbdf62e74381a28761f984ca6252"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chinatown\n", "labels": "Who directed the 1974 film `Chinatown`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-57de11d52f244c8a9597c68da49dba80"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chingford and woodford green\n", "labels": "Which Cabinet member is the MP for Chingford and Woodford Green?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0dba4e7818014461859d533c75b74888"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chingford and woodford green\n", "labels": "Which former party leader is MP for Chingford and Woodford Green?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0dba4e7818014461859d533c75b74888"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chitty chitty bang bang\n", "labels": "In the 1968 film Chitty Chitty Bang Bang who buys the car from garage owner Mr Coggins and rebuilds it?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8fb3cd6e094c4c50a76196f15be47cd8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chorley\n", "labels": "The principal Deputy Speaker of the House of Commons has the official title Chairman of Ways and Means. Who is the current holder of the post, the MP for Chorley?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-44efa146be584cabbded63f5f9c584f3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chris cromby\n", "labels": "What was the name of the act comprising of Gemma Abbey and Chris Cromby who became the first UK act to receive no points overall?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-aeaf3c969b044d6fb77e9efe10cc3a36"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chris de burgh\n", "labels": "In which country was Chris de Burgh born?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a946f731a10d486b8282e20ea46383bc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chris martin\n", "labels": "Chris Martin is the lead vocalist and rhythm guitarist with which group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e2e6e4c746174a59a86f440840a82d43"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: christian bale\n", "labels": "Films - Russell Crowe and Christian Bale starred in a remake of which famous western?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4fa3d277de6840f39a707340e48f2014"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: christian wulff\n", "labels": "To which, position did Joachim Gauck succeed Christian Wulff in spring 2012?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0654e6a4172945e4ab655216c228894d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: christmas island\n", "labels": "Christmas Island, in the Indian Ocean, is a territory of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8672dfbc07694f2095411ab79970404b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: christmas oratorio\n", "labels": "Who composed the Christmas Oratorio and The Coffee Cantata?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7a3b52365118464ba297b456fbcec7e5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the chronicles of narnia\n", "labels": "Which was the title of the 7th and final book in the Chronicles of Narnia by C.S. Lewis?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b53befead0964241bb6469d738895834"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chucky\n", "labels": "What was the name of the bride in the 1998 film Bride of Chucky?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8cd52185fd424a5397aa9444dc97772f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: chulalongkorn university\n", "labels": "Chulalongkorn University is the oldest university in which Asian country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-60940218480d403db56f2882190a4183"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: central intelligence agency\n", "labels": "Who was the director of the CIA from 1976-81?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e0d120d86f14477490c70bf8886b7249"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cider house rules\n", "labels": "Who wrote the novel The Cider House Rules?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d3e93aeddec34cf4a0e186a61978a381"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cincinnati kid\n", "labels": "Who played the title role in the 1965 film `The Cincinnati Kid`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7b0029c387ae429fb49e1db9fc567256"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cinder cone\n", "labels": "Cinder Cone, composite, and shield are all types of what?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0068e0526022496ba5d1346ec7a09c9a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cinderella\n", "labels": "Who composed the music for the ballet Cinderella?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5d1df6d3fe654e4e96740bbbf0130314"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cinderella\n", "labels": "What brothers compiled fairy tales including Cinderella and Rumpelstiltskin?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5d1df6d3fe654e4e96740bbbf0130314"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cinemascope\n", "labels": "What was the title of the first feature film made in Cinemascope?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5387f109c6874fb78d86325e26850bff"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cistercians\n", "labels": "Which 12 century Cistercian abbey stood just outside Ripon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f58f7edf116c4640846c695afa6b75a7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: citizen kane\n", "labels": "Who wrote, directed, and starred in Citizen Kane?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-da52554dac5a4100bbd7fe664c848a6f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: city hospital\n", "labels": "Who has presented City Hospital, Departure Lounge and Last Choir Standing?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5d14f590708344228248106356c50ebf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: mrs dalloway\n", "labels": "'Mrs Dalloway' and To the Lighthouse' are among the works of which writer?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b38605bd1e7344b997b91116ba7fd327"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clark kent\n", "labels": "Fictional characters Clark Kent, Lois Lane and Jimmy Olsen work for which newspaper?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cd05793aab9d4976b3b9d4f106a8afd4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: claudio\n", "labels": "Who is Claudios lover in Much Ado About Nothing?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2995ab2f7bf94437aafc3e9d8b263a42"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clear and present danger\n", "labels": "`The Hunt for Red October`, `Patriot Games`, and `Clear and Present Danger` are all films based on novels by whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6d19a99eb9374aa2ac586feed7cbb406"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cleeve hill\n", "labels": "Cleeve Hill, at 330m, is the highest point in which range of hills in south-western and west central England ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a179d6b43fe4462884646897a06a492b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clementine churchill\n", "labels": "Which British Prime Minister married Clementine Hozier on September 12th 1908?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f5bf170f0f724548a1595c5ed3405110"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cleverdicks\n", "labels": "Who hosts the TV quiz show 'Cleverdicks'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bc61fbca28e24efa98313c261eb932ae"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clint eastwood\n", "labels": "Which film was the directorial debut of Clint Eastwood in 1971?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8523ed82ecfc40a389e86116819de59f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clint eastwood\n", "labels": "What is the name of the 1978 movie starring Clint Eastwood and an orang-utan called Clyde?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8523ed82ecfc40a389e86116819de59f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clint eastwood\n", "labels": "Which record-breaking film marked Clint Eastwood's directorial debut?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8523ed82ecfc40a389e86116819de59f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clint eastwood\n", "labels": "What successful 2008 film starring Angelina Jolie did Clint Eastwood direct?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8523ed82ecfc40a389e86116819de59f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: closer to the truth\n", "labels": "Which singer released the album 'Closer to the Truth' in 2013, twelve years after her previous album 'Living Proof?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7786e1c25e9d4c5db1feadcf6a854dfe"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cluj-napoca\n", "labels": "Cluj-Napoca and Timisoara are respectively the second and third biggest cities in which European country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a6710bf030484492bb744e4a826e47d3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: clun forest sheep\n", "labels": "Clun Forest, Romney and Bluefaced Leicester are all breeds of which animal?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-09fd18a8efc04e5bb0406680e77c123e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: river clyde\n", "labels": "IBM Halt is one of nine railway stations in which Clydeside town?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-146f82ecbcae48c2b046b6177cf72f9f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cobalt\n", "labels": "The chemical element cobalt is a?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8234f9b45f6040fc9de32f5a9efa23a0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cocaine nights\n", "labels": "Who wrote 'Cocaine Nights', 'The Drowned World', and 'High Rise'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8dcf8a6df6664dca8b0c297d374fea14"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cocktail\n", "labels": "What cocktail consists of 1.5 oz Gin, .5oz Applejack, 4 dashes Grenadine, the juice of 1/2 Lemon, and 1 egg white?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8717cb882e884c5c82106fd5483cbfed"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cocktail\n", "labels": "Which cocktail is 'The Queen of Drinks'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8717cb882e884c5c82106fd5483cbfed"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cocktail\n", "labels": "Whisky and Drambuie mix to form what sickly cocktail?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8717cb882e884c5c82106fd5483cbfed"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cocos (keeling) islands\n", "labels": "The Cocos Islands in the Indian Ocean are a territory of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-19da37f6289c4c7aad04139efe3171fc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cod wars\n", "labels": "Against which country did Britain fight 'The Cod Wars'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3e073dbf5e734e38ad064ea5fbf62845"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: coldheart canyon\n", "labels": "Who wrote 'Imajica', 'Coldheart Canyon' and 'Galilee'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c69c1858f76f4d30928c0565870db4ca"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: colin firth\n", "labels": "Which 2003 drama film, named after a painting by Dutch painter Johannes Vermeer and directed by Peter Webber, stars Scarlett Johansson, Colin Firth, Tom Wilkinson & Cillian Murphy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ccd45dc46221447b9ec5652b9f8013b2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: colin meads\n", "labels": "Colin Meads, nicknamed 'Pinetree', a former rugby union footballer who played 55 test matches for his national team from 1957 until 1971 and was named his country's Player of the Century, represented which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-383fc5c507224f5f8f56764bfd5dcc46"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: muammar gaddafi\n", "labels": "In which Libyan city, his birthplace, was Colonel Gaddafi captured and killed in October 2011?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dec5fcee611c4ffc86367d5f14b552ad"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: colonel tom parker\n", "labels": "What singer was managed by Colonel Tom Parker?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6f13fbec8dc64dd89e61535b3603928c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: columbine\n", "labels": "In which state was the 1999 massacre at Columbine High?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-88b83d54abe34630ad4e102b8e2d2af3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: columbo\n", "labels": "Who plays the detective `Columbo` on TV?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-086808ec6a7748958f5a0c9fd6044fd2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: comedian\n", "labels": "Which comedian/entertainer was known as Bighearted Arthur?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c7628bdc8f4d45358f19af70a2012004"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: comedy\n", "labels": "Eddie Murphy starred in a remake of which Jerry Lewis comedy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-17032e2d373e4af7b580540561cab580"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: come on-a my house\n", "labels": "Who had a number 1 hit in 1951 with Come On a My House?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c1f48263a1974038852961f1c2ea2e11"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: de havilland comet\n", "labels": "In 1958 what was the first airline to fly a jet airliner The Comet across the Atlantic ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-926c74e027e544feb52bbe36255ccb8f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: pyrus communis\n", "labels": "What kind of fruit is a Comice?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-02259291598b4311b9a1a04f8bec00cf"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: commodores\n", "labels": "Which singer went solo after performing with the Commodores?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d8ab604fb9534f339e7b762fce22e2ae"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: composer\n", "labels": "Which great composer, composed so many songs between 1815 and 1828 that the Oxford Dictionary of Music doesn't attempt to list them all?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8e94604622b942b6ba1c15a8c10dcb34"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: comus\n", "labels": "Who was the author of the literary work 'A Mask presented at Ludlow Castle, 1634' a work more commonly known as 'Comus'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-135568bf98f64f52ab439352364b0106"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur conan doyle\n", "labels": "Which hero of several Arthur Conan Doyle stories was first introduced in the novel 'The Lost World' in 1912?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a3d7c228882e4d77af9d6e83e80acb2f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: arthur conan doyle\n", "labels": "Who was the main character in Sir Arthur Conan Doyle's novels A Study In Scarlet, The Sign of Four and The Hound of the Baskervilles?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a3d7c228882e4d77af9d6e83e80acb2f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: a confederacy of dunces\n", "labels": "Who wrote the picaresque American novel 'A Confederacy of Dunces'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5b9b20fc2e564aa0a4f6441c6422af24"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the confessions of nat turner\n", "labels": "Which American author wrote the novels 'Sophie's Choice' and 'The Confessions of Nat Turner'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2a6cd3e202c141b3a5d2fd0a4cea5125"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: conservative party\n", "labels": "Who succeeded John Major as leader of the UK Conservative Party?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7dcbf663ae84dd4961e7bd933d2837f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: conservative party\n", "labels": "Who became leader of the British Conservative Party in July 1965?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7dcbf663ae84dd4961e7bd933d2837f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: conservative party\n", "labels": "Who did Margaret Thatcher succeed as leader of the Conservative Party?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7dcbf663ae84dd4961e7bd933d2837f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: copacabana, rio de janeiro\n", "labels": "What city is closest to Copacabana beach?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-18c6f9bb6315457dac0cf38d9db3402d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: copacabana, rio de janeiro\n", "labels": "In what city would you find Copacabana beach?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-18c6f9bb6315457dac0cf38d9db3402d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cop and the anthem\n", "labels": "Great short-stories like The Gift of the Magi, The Ransom of Red Chief, and The Cop and the Anthem are from what collection of O. Henry that was a reaction to a statement that only four hundred people mattered in New York?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b1d59cf8a7834f698129b0304bdd7e17"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: copenhagen\n", "labels": "Which chemical element is named after the Latin for Copenhagen where it was discovered?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-80453bc3fe644dcdb74fb0a380f13f99"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cop land\n", "labels": "In 1997, which movie star agreed to take the lead role in `Cop Land` for a fee of just $60,000 in order to play a serious role?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-78598f87a6184da2a3a9efc6d03fb52b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: copo national park\n", "labels": "The Copo and the Laguna Blanco National Parks are in which South American country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5c3a93a909c544568b62d0d1520ab4d9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: coral sea islands\n", "labels": "Since 2004, 'The Gay and Lesbian Kingdom of the Coral Sea Islands' has fought for independence from which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c8bf548f8f49482ea8f7b8c4269541b8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: coronation street\n", "labels": "Who played barmaid Michelle Connor in the UK tv soap 'Coronation Street'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-eaafe40bf8ea438096ea889605def01f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: coronation street\n", "labels": "Who plays Michael Rodwell in Coronation Street?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-eaafe40bf8ea438096ea889605def01f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: coronation street\n", "labels": "Which actor played dodgy author Mel Hutchwright in Coronation Street?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-eaafe40bf8ea438096ea889605def01f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: corriedale\n", "labels": "What kind of animal is a Corriedale?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-821902c116b945179b7f869fd1e7474f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cosmicomics\n", "labels": "The most-translated contemporary Italian writer at the time of his death in 1985, whose best known works are the Our Ancestors trilogy and the Cosmicomics collection of short stories?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-47b5d7dcc9d940f387d389d67b020646"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: costa rica\n", "labels": "Who was the President of Costa Rica between 2006 and 2010?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-acd94c31b84f4f179eacdf8d1f4674dc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the country girl\n", "labels": "Who won the 1954 Academy Award for Best Actress for her role in the film 'Country Girl'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2afb72b102c4407eb4f4d3d1781613ce"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: county kerry\n", "labels": "In the Republic of Ireland, in which town or city are the administrative HQ for the County of Kerry?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-13b187c4ee684a08b2e75ea8c7ac6281"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: courtney pine\n", "labels": "With which instrument is jazz musician Courtney Pine mainly associated?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d94510c2ca5d49658189b1a47b8f7d23"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward craven walker\n", "labels": "Craven Walker invented what 60s fashionable icon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4ae9204312e0455bacb8060c5986bc3f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: crest\n", "labels": "On what would you find a field, motto, crest, and escutcheon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6b66012e4db247159c263245016b625f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cricket\n", "labels": "Which England cricket captain was born in Madras in 1968?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b9f2c4939b4a497db0d394e7d9eb88f7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cricket\n", "labels": "Who, in 1964 became the first cricketer to take 300 wickets?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b9f2c4939b4a497db0d394e7d9eb88f7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cricket on the hearth\n", "labels": "Who wrote the Christmas book 'The Cricket on the Hearth'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-17994fc2544b42c6865ba9e3aebe4049"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: crispian mills\n", "labels": "Singer Crispian Mills is the son of which famous actress?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0430aa57013842d0933d3eee95c6190c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: critique of pure reason\n", "labels": "Which German philosopher wrote Critique of Pure Reason?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-907a810b08954fc8b4be2c66a1d27166"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: croatia\n", "labels": "What is the capital of Croatia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-aac36437cf3d4b71b27744157730c4c6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cromwell\n", "labels": "Who played the title role in the 1970 film 'Cromwell'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-932e7af3ae454bdba243bafecd1da511"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: crooked rain, crooked rain\n", "labels": "Crooked Rain Crooked Rain was a 1990s album by which band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-84509b7b41cc42d985eba8e5d89ebb66"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the crucible\n", "labels": "Who wrote Death Of A Salesman and The Crucible?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d20b53580e71483596fd49468477d59f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the crucible\n", "labels": "Who wrote the plays `Death Of A Salesman` and `The Crucible`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d20b53580e71483596fd49468477d59f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cruel sea\n", "labels": "The writer of the book The Cruel Sea was born in Rodney Street, Liverpool. What was his name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-832397be80e3446896027d571f200d10"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cruel sea\n", "labels": "Who wrote the WW11 novel 'The Cruel Sea'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-832397be80e3446896027d571f200d10"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: crush\n", "labels": "Which Disney film includes the characters Bubbles,Crush and Mr Ray?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0a499ca60eee4508a957a9bb87f7b472"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: brazilian cruzado\n", "labels": "Which South American country which has had currencies the Cruzeiro and the Cruzado, now uses the Real?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-37a8c28af97946fea8bc9a1d911296db"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cry freedom\n", "labels": "In the 1987 film 'Cry Freedom' which character was played by Denzel Washington?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d0bc190238ba41108d7bad7e76d31e17"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: c. s. lewis\n", "labels": "What is the title of the first novel to be published in the 'Chronicles of Narnia' series by C S Lewis?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-11b6e2a556584339a1aea91d7e269930"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cuba\n", "labels": "What is the capital city of Cuba?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cec4877a09c64c14a6d82e5d22871fc5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cuban missile crisis\n", "labels": "Which US President was in office during the Cuban Missile Crisis?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7d8ca8c3f8a345ab95703578752c7ace"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cube\n", "labels": "What are the tetrahedron, cube, octahedron, dodecahedron and icosahedron known as?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ea6343d95e3f4e33b9271a83706c9d22"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the cuckoo's calling\n", "labels": "Under what pseudonym did JK Rowling publish the book 'The Cuckoo's Calling'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-839e9725415f495faec38ad29038ad22"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cupid\n", "labels": "Who had a top ten hit in the UK with Cupid in 1961?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-090626568f8e4e44af12667a621a0586"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: curiosity\n", "labels": "What was visited by Viking, Pathfinder, and Curiosity?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7d57330010db4667937a8470b0fd628a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: curiosity\n", "labels": "On which planet did NASA's Curiosity rover complete its first year, equal to 687 Earth days, in June 2014?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7d57330010db4667937a8470b0fd628a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cutty sark\n", "labels": "The ship 'Cutty Sark' was built in which Scottish dockyard town?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-777de3cb84c74f4dbae477c21409eb9f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cyprus\n", "labels": "Who was Prime Minister of Cyprus from 1960 to 1977?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-032c1b80bdfd489aa8053ff23824bbee"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: cyrus the great\n", "labels": "From 559 BC until 530 BC, Cyrus the Great was the leader of which ancient empire?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-77b8dc61d0dc4bc89eaba02245d06996"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: czechoslovakia\n", "labels": "Who was both the last President of Czechoslovakia and the first President of the Czech republic?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bb93ad7e54d548ab9d10e763b4f6e12a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dad's army\n", "labels": "Which actor was a Dad's Army regular and also appeared in the film 'Ben Hur'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d528ccd37ab745b2b0e6f8238a51144e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daikon\n", "labels": "A daikon is what type of vegetable?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-060e03e72edf418da9688d6d65a90098"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daikon\n", "labels": "Raphanus Sativus is the Latin name of what vegetable, which has varieties including Cherry Belle, Sicily Giant and Daikon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-060e03e72edf418da9688d6d65a90098"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the daily show\n", "labels": "In addition to hosting the Academy Awards, what stand up comic took over for Craig Kilborn behind the desk of The Daily Show?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3aba66bd68c244fda372e9397920079c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dainik jagran\n", "labels": "Dainik Jagran is (at 2014) India's, and perhaps the world's, most popular?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c845766e73a9415c8ba8868fb45bf55c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daisy duke\n", "labels": "Who played Daisy Duke in the 2005 film The Dukes of Hazzard?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cb717c20b92648d8b82d221e046a47c5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dakar\n", "labels": "The Dakar Rally (previously known as the Paris Dakar rally) is an annual event, but of which country is Dakar the capital city?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1742d7feb5c84e2384caecbb378b069b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dale cooper\n", "labels": "What American TV serial, first broadcast between April 1990 and June 1991, followed an investigation headed by Special Agent Dale Cooper?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-37e02e2243154865a9e475f5210db233"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dali\n", "labels": "Dali belonged to which artistic school?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b2dc53d9f19545fe8950ebc3d276ab19"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dallas\n", "labels": "Patrick Duffy played which character in 'Dallas'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b0d0d1098b3241afb215165c8323fa25"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dalmatia\n", "labels": "In which country is the region Dalmatia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bd3a5785c0744a759d6c176a4fc58fa3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dame edna everage\n", "labels": "What is the name of the Australian actor/comedian who created the character Dame Edna Everage?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5390579d439443c1b016081669b5cc9c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: a dance to the music of time\n", "labels": "The painting A Dance to the Music of Time 1634 - 1635 displayed in the Wallace Collection, London is by which artist?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e2ef1df00e6f48b196d48135ecd71eac"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dangerous corner\n", "labels": "Which author and playwright wrote An Inspector Calls, When We Are Married and Dangerous Corner?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3ae023359bbf415b8aab58feae107648"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daniel day-lewis\n", "labels": "What is the nickname of the frontiersman Nathaniel Poe, played by Daniel Day Lewis, in the 1992, film 'The Last of the Mohicans'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e7348ffdd0514436b8816612cb307c39"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daniel defoe\n", "labels": "Which book about a castaway was written by Daniel Defoe?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f460b603ae2a4058a2ca24449b4a668f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: danny o'donoghue\n", "labels": "Danny O'Donoghue is the lead singer with which band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-533ff9e6a83d4fb4a1e592e696cd0099"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: danny o'donoghue\n", "labels": "Danny O'Donoghue was a judge on the TV show 'The Voice'; he is the singer with which group?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-533ff9e6a83d4fb4a1e592e696cd0099"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dan quayle\n", "labels": "Dan Quayle was Vice President to which president of the USA?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8767a0e00d404ca4866a215290637d85"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dante's peak\n", "labels": "Who played the part of the vulcanologist who warned of impending disaster in the film 'Dantes Peak'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-886036320a4a4dbebdc53b9362558139"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: you da one\n", "labels": "Who had a 2012 chart hit with You Da One?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-616f3827e8594a6aa240d8ba7cc2c740"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daphne du maurier\n", "labels": "From which Daphne DuMaurier book is the opening line 'Last night I dreamt I went to Manderlay again'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2373b26c2d28413ba0bbf1d9b0ac3c68"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daphne du maurier\n", "labels": "Last night I dreamt I went to Manderley again, was the first line of what Daphne du Maurier novel?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2373b26c2d28413ba0bbf1d9b0ac3c68"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dar es salaam\n", "labels": "The seaport of Dar-es Salaam is in which African country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-805b129df4c04eaea26e7aa004314f5f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: darfur\n", "labels": "Darfur, scene of mass genocide over the last few years, is part of which African country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a0171b7e956e4345998b5e44fcf8ce36"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: darius rucker\n", "labels": "Darius Rocker was a leading member of which band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b2914e69a79a4012888ce656c58ede4b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the dark knight\n", "labels": "Who played the joker in the 2008 film The Dark Knight?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-47784e23eb7d411ea6de110dc0a7143a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dartmouth college\n", "labels": "The Ivy League University 'Dartmouth College' is in which US state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7a26204f5d50417db2dd0bcb3d1b5568"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: daryl hannah\n", "labels": "What is the name of the mermaid played by Daryl Hannah in the 1984 film 'Splash'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-21a806ea98d845db8102760a25203b58"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: urca\n", "labels": "Where are the Sugarloaf Mountain, the Morro da Babilnia, the Morro da Urca, and Mount Corcovado (with its famous giant religious statue)?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-569a11ff342d4c99ab46dc1b243fd69a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david gilmour\n", "labels": "Which rock band did Dave Gilmour join in 1967?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-87c0d887bd764b1e9415025837873e72"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david ball\n", "labels": "How are the duo comprising Marc Almond and David Ball known?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4fa4d20ed024490c9a90cc0acb7b52c8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david bowie\n", "labels": "Singer David Bowie teamed up with UK band Queen on which 1981 hit single?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e3fd63c1e08549daba3d1de0f7d8c56d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david\n", "labels": "In the Old Testament of the Bible who was the father of David?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-53c673b8a758485eacf22a6f8ab0dd24"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david\n", "labels": "According to the Holy Bible, in order to marry which woman did King David send her husband, Uriah the Hittite, to meet his death in battle?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-53c673b8a758485eacf22a6f8ab0dd24"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david\n", "labels": "Now in the Galleria dell'Accademia in Florence, the Renaissance masterpiece, 'The Statue of David is by which sculptor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-53c673b8a758485eacf22a6f8ab0dd24"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david\n", "labels": "Who created the statue of David, which is held in Florence's Academia Gallery?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-53c673b8a758485eacf22a6f8ab0dd24"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david lean\n", "labels": "What was David Leans first film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0bb50770877f4231a0157178b31ad309"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david livingstone\n", "labels": "In which Scottish town was David Livingstone born?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f2358e63a62b400986cb21863f262511"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david livingstone\n", "labels": "What nationality was the explorer Dr Livingstone?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f2358e63a62b400986cb21863f262511"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david mccallum\n", "labels": "David McCallum played the character Dr Daniel Westin in which TV series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7351881c39a847a09428cc4a947c31e6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: david van day\n", "labels": "Thereze Bazar and David van Day were better known as which duo?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-72203f3c7d8342239854d94191aa9e7b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: davy jones\n", "labels": "Late singer Davy Jones can be heard asking a studio engineer 'What number is this Chip' at the beginning of which Monkees song?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dd032740a50149df994e34caefffd240"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dayak people\n", "labels": "Dayaks are native to what area?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5aeb29a4f194434cafc5c0dda3fd4b4a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: day for night\n", "labels": "Which novelist appeared in the film Day For Night?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f300c35a4a0f4d3084e21b680515d0f9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: beltway sniper attacks\n", "labels": "D.C. sniper John Allen Muhammad was executed last night for his role in terrorizing the nation's capital in October 2002. In what state was he executed?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1ed0e4d30d6940f3b1849ba60b96b73e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dean moriarty\n", "labels": "What beat novel featured the character Dean Moriarty?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-342a0a1ed3154fe38bb3fe56e7a63621"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: death comes to pemberley\n", "labels": "Who wrote, the 2011 sequel to Pride and Prejudice, Death Comes to Pemberley?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-36f544ae62544888b3a640a907320b69"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: debbie rowe\n", "labels": "August 29, 1958 saw the birth of what moderately famous pop star, who married Lisa Marie Presley in 1994, Deborah Jeanne Rowe in 1996, and had a child with a yet unnamed surrogate mother in 2002?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f1333bec2b21426f82bb7927e20c97f7"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: decision points\n", "labels": "Whose memoir 'Decision Points' was published in late 2010?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-2757b9d4bf49459e9545762015d031d9"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: deepdale\n", "labels": "Which original member of the Football League plays its home games at Deepdale?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-14fff8b78a434b20bcfe5b95cad38845"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: deer hunter\n", "labels": "Who won an Oscar for his part in The Deer Hunter?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d1df71d324d54f6ab601c6dfe9d60332"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: definitely maybe\n", "labels": "Which British band released their debut album 'Definitely Maybe' in 1994?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-02fdc94d8b7e4c408495cb1be1851017"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dementia\n", "labels": "Which form of dementia is named after a German psychiatrist who first described it in 1906?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b9ea17701962467ea680ede61a0fc65e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: demetrius\n", "labels": "In the opening scene of which Shakespeare play does Hermia refuse to marry Demetrius, who her father has chosen for her, because she wishes to marry Lysander?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-aff54cbfcebc4c3eb93a31fe03599b3f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: denali\n", "labels": "In which US state is Denali National Park?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6d46f339b6a24cebae46724663abd266"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: deneb\n", "labels": "In which constellation is the star Deneb?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8ab08ac297d94822a11439d167e6ee32"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dennis skinner\n", "labels": "MP Dennis Skinner is a member of which British political party?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5847fb5a36f9405c8761a7cfa47d76a8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: denys lasdun\n", "labels": "Which London building was completed in 1977 from a design by Denys Lasdun?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cdc7cee1d1de428b913bd86428537901"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: department store\n", "labels": "Which department store chain claims to be never knowingly undersold?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8e6b1f587e73414aa2c32453cde5884b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: der fuehrer's face\n", "labels": "Which cartoon character first appeared on screen in 'The Wise Little Hen' in 1934 and later in the 'Oscar' winning cartoon 'Der Fuhrer's Face' in 1942?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-273b3c395a1b494f9933ced4e31bde3f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dervla kirwan\n", "labels": "In which long-running TV programme did Elizabeth Carling and Emma Amos take over the leading female roles from Dervla Kirwan and Michelle Holmes?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-07b408876e4141939cd8984138d676f5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: river derwent\n", "labels": "In which Australian state can you find the Derwent river?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7ea4c61408cb43cd8108fe214b07b84f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: desert\n", "labels": "What is the world's largest desert?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7fbbf2ab3c8140dd9b91b7419a023515"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: despina\n", "labels": "Despina and Proteus are moons orbiting which planet of the solar system?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-260c29924f3a466d9f3b8595702ecb06"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dettifoss\n", "labels": "The Dettifoss Waterfalls are in which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8cda6704e116476687a896b14cb6e8ed"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: devil may care\n", "labels": "The character 'James Bond' was created by Ian Fleming, but who wrote the book 'Devil May Care' featuring 'James Bond'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a671b4d6ad7d4ac4aae768a878948e52"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: devil's island\n", "labels": "The former penal colony Devil's Island lies in which ocean?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-90a291c57923408484f78cc11992755a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: devon\n", "labels": "What is the administrative centre for the county of Devon?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-052363d4a00345e4afe59402d17f0197"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: diacritic\n", "labels": "The letters C and S in the Turkish alphabet feature which diacritical mark?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cc4e9c6d3a174969af5b5b7b390b7f4c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dial m for murder\n", "labels": "Who starred in Mogambo, Dial M For Murder, Rear Window and High Society before giving up her film career for marriage in 1956?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-05424376296b431ba5310e0be3df8a7d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: diddy\n", "labels": "Which entertainer uses various names, including Puff Daddy, P. Diddy and Diddy?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-bbd3183595b0401281349b80bb244ad8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: didn't it rain\n", "labels": "Which actor has released the blues albums Let Them Talk and Didn't it Rain?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0c08a008cf3f45f3864bab179cb51c08"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: die hard\n", "labels": "Name the character played by Bruce Willis in the 'Die Hard' films?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cee46b16b364419c9382cdc9ca9f76e2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: die hard with a vengeance\n", "labels": "Who plays the main villain in `Die Hard: With A Vengeance`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-7810d886cef6419fa68051027a29d356"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: diggin' on you\n", "labels": "Who were Diggin on You in 1996?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-12a27dc201a34445b1e487a07447ef82"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dionaea\n", "labels": "Which distinctive plant's genus is Dionaea (the mother of Aphrodite in Greek mythology) and species muscipula (Latin for 'mouse-catching device')?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-77cad9e6a1d24fe399edb7f15fb08838"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dirk benedict\n", "labels": "Name the 1978 TV programme in which Lorne Green played Commander Adama and Dirk Benedict plays Lieutenant Starbuck?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-431521e19d0140799568da0b8d934a9e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the time\n", "labels": "Who had a 2011 hit with The Time (Dirty Bit) The Black Eyed Peas, D12, Beyonce, Gwen Stefani?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-9902604ca90444aa9cef340d48f1412c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the disasters of war\n", "labels": "Which artist was born in 1746, died in 1828, and produced a series of satirical paintings entitled 'The Disasters Of War'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1d37dd469a224df2b4801bc38bedaff3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: disc jockey\n", "labels": "Which Knight of the Realm and former disc jockey from Leeds was once a wrestler?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-378f345abf5c4e09913715627af5ea00"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: disc jockey\n", "labels": "Who was the first DJ to be heard on Radio1?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-378f345abf5c4e09913715627af5ea00"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: walt disney animation studios\n", "labels": "Which Walt Disney animated feature film bombed when it was first released in 1940, only eventually reaching profit in 1945?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b3ea0b09f78c4e47ad0e7af50ddd0990"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: walt disney animation studios\n", "labels": "The Disney Brothers Cartoon Studio was set up on October 16 1923 by Walt Disney and his brother, what was his brothers' first name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b3ea0b09f78c4e47ad0e7af50ddd0990"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: disneyland\n", "labels": "Opened in July, 1955, where is Disneyland Park, Disney's first?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-55829062f3234ec48df1b121601302e0"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the walt disney company\n", "labels": "Which was the first of these Disney films to be released?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a724d7b0bf82400087d3e4c6a810b2ef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dizzy\n", "labels": "Dizzy Up The Girl was a Triple Platinum 90s album by which band?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a3d69efc764f482b9e4eeb34ce558317"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dmitri mendeleev\n", "labels": "Dmitri Mendeleev is credited with the first version of which 'table'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6ee94c92429d4cde81a70f5e518381a5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dobro\n", "labels": "A Dobro is what type of musical instrument?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-47d661e857ad4c04ba7bfc3fa2597694"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor in the house\n", "labels": "Who was the writer of the books on which the UK comedy TV series Doctor in the House (1969-70) were based?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ac6c231d0965435597798577cb586c5c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "In the UK television series 'Doctor Who', what is the name of the leader of the underground-dwelling race 'Tractators'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "Who played the third incarnation of the Doctor in the TV series Doctor Who?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "Of all the actors who played Doctor Who in the TV series of the same name, who appeared in the most episodes?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "What is the name of the Towers in which Doctor Who villain Kroagnon (The Great Architect) existed as a disembodied intelligence stored in a tank?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "What's the name of Doctor Who's home planet ?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "In the UK television series 'Doctor Who', which actor played the ninth Doctor?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "Which actor was first to play `Dr Who` on TV?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "Brigadier Lethridge-Stewart belonged to which military organisation in the Dr Who series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor who\n", "labels": "Who composed the title music for Dr Who?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-079c339cc0a84ebcad402918ed256cbc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dog\n", "labels": "The Aberdeen Terrier is better known as what type of dog?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e08bc80528f4319bb0884018ae89c1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dog\n", "labels": "What breed of dog was a favored imperial pet in ancient China?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e08bc80528f4319bb0884018ae89c1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dog\n", "labels": "Which breed of dog derives its name from the German for splash?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e08bc80528f4319bb0884018ae89c1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dog\n", "labels": "What breed was Columbo's dog?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e08bc80528f4319bb0884018ae89c1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dog\n", "labels": "What breed of dog is Marmaduke in the newspaper cartoon strip of that name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0e08bc80528f4319bb0884018ae89c1b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dog soldiers\n", "labels": "In which country is most of the British horror film `Dog Soldiers` set?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-82fe1771179c4764ace4184aff2d4472"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: d'oh!\n", "labels": "Which television character is well known for his catchphrase D'oh?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-25dc2697a1dc4565a9ad7c1fe15be5d2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dolly\n", "labels": "In 1996, Dolly the Sheep was successfully cloned in which European country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a672f587e68e426a913e0940a5354f50"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dome of the rock\n", "labels": "The Dome of the Rock on the Temple Mount in Jerusalem is a shrine for which religion?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4c263e7623f24aea9cb986f96777f27e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: billy ward and his dominoes\n", "labels": "Who gained famed as a member of the Dominoes?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-70b8bef5212045a0849a9a1115ad2b08"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: domino vitali\n", "labels": "Who played Bond Girl Domino Petachi in Never Say Never Again?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6e22c746dbcc481ca0944219c0fe838b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: domodedovo international airport\n", "labels": "Which European city is served by Domodedovo Airport?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d47bab9c604049dbbe0923cc5529343d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: donald campbell\n", "labels": "On which lake was Sir Donald Campbell killed in 1967 while attempting to break the World water-speed record?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-baa7a0c1cb8548ff92c7ef2b8faa73ea"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: donald fagen\n", "labels": "Which band has had Donald Fagen and Walter Becker in its lineup since its inception in the 70s?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4097c23105bf4a8997f60cae78e9e2fd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doncaster racecourse\n", "labels": "Which English classic horse race for 3 year olds held at Doncaster every September began in 1776?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f58962e36c3643948adec076836963dd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don diego de la vega\n", "labels": "Don Diego de la Vega is the secret name of which Spanish fictional character?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a980bafd7a3d4e4da4934261f58df62f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don diego de la vega\n", "labels": "In fiction who was Don Diego de la Vega?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a980bafd7a3d4e4da4934261f58df62f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: gaetano donizetti\n", "labels": "Nemorino sings the aria Una Furtiva Lagrima in which opera by Donizetti?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-67a5256cf17f4891b45dcc688bc48a1c"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don johnson\n", "labels": "The theme tune to which TV series starring Don Johnson gave Jan Hammer his first UK chart success?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-cb157e549fb04c0dae738e8e8c8444c3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don't be afraid of the dark\n", "labels": "Who was separated from her husband in June 2009 to film Don't Be Afraid of the Dark in Australia?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-79f827a2e5924ee58037637ab8aaa943"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don't leave me this way\n", "labels": "Who had their biggest British hit with 'Don't Leave Me This Way' in 1986?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5e9657b7757747b7918f8b003037deda"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don't look now\n", "labels": "In which city is the film Don't Look Now set?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5a73d835c34545d59e5cd2cf57b748d2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don't stop movin'\n", "labels": "Which pop group have had UK number one hits with 'Bring It Back', 'Never Had A Dream Come True', 'Don't Stop Movin'', and 'Have You Ever'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-08829cee28b04c11819ae61f23cd53c5"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don't wanna go home\n", "labels": "Who had a 2011 US No.1 with Don't Wanna Go Home?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fd4c9b00bebd4632b3270f9f43dfb45d"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: don valley stadium\n", "labels": "Which Rugby league team are nicknamed the Eagles and play at Don Valley stadium?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1b8e23ee99db4a5d87c7fa2f3e065168"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doom\n", "labels": "Wrestler Dwayne Johnson, who appeared in the 2005 film 'Doom', is better known by what name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-fcfd70d856b84148bf8f6275644180bc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dora maar au chat\n", "labels": "Dora Maar au Chat and The Weeping Woman are both portraits by which artist of his lover?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6585b37e6b94480d9b2d6dfe8f98aa01"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the picture of dorian gray\n", "labels": "Who wrote The Picture Of Dorian Gray?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6434ceaf22d64ff7a1dad784b06304a1"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dorothy mcguire\n", "labels": "Which family film of 1957 starring Dorothy McGuire and Fes Parker centres on the story of a youg boy and his love for his dog on thier family ranch home during the 1860's which ends tragically after the dog contracts rabies following a fight with a wolf?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-ea8fb263e03a4189bd7d0c218575550a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the doughnut\n", "labels": "The headquarters building of which government agency is known as 'The Doughnut' due to its shape?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6f54ff583e0a45adaeac5e1e6c34f975"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: douglas adams\n", "labels": "What was the name of the paranoid android in the book The Hitchhiker's Guide to the Galaxy by Douglas Adams?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e3cb29abf1764ccabc8eec87369bf90a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doug ross\n", "labels": "Which now famous film actor came to prominence playing Dr Doug Ross in the TV series ER?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4e51d866f65b4d80a4bbfe39c608b448"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dover, delaware\n", "labels": "Dover is the State Capitol of which US state?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c73053ce45d74f05a1a0246826f665bd"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: down house\n", "labels": "Which British scientist lived at Down House, Kent, now in the care of English Heritage?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4bce68e563a24aab9bea49e75ced3f3b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dracula\n", "labels": "Which Hungarian-born actor acted in films from 1917 to his death in 1956, and is best known for playing the title role in the 1931 film Dracula?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b7eb5f3d327f4110929e2c43913e133e"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dragons' den\n", "labels": "Who is the new judge on 'Dragon's Den'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c4d9d8ab8e7b4aee9c40383ccfb39475"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: the dream of gerontius\n", "labels": "Who composed the oratorio 'The Dream of Gerontius'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-969130b089184399ab24712ae3a45ee8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dreams from my father\n", "labels": "The 1995 autobiography 'Dreams From My Father' is by which US politician?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-011a3b9918b340faa69b17a68109b309"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dredd\n", "labels": "Who played 'Judge Dredd' in the 1995 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-91bc55d6f61f4e538c5600af08b0f123"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: drenthe\n", "labels": "Drenthe, Limburg and Flevoland are all provinces of which European country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-01728d20465b4bc2b793dec9c76c8973"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: doctor mabuse\n", "labels": "What one word links a 1974 album by Sparks and the group who had hits in 1984-5 with 'Duel' and 'Dr Mabuse'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-56e3210f60a84b12b8da5011161c9494"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dr. no\n", "labels": "Who played the title role in the film 'Dr. No'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-87cbbe50898447bbad1e6bd171ea924b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: drop the dead donkey\n", "labels": "Who played the unscrupulous Damien Day in the TV series Drop The Dead Donkey?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d5f3bde27ca2447d868a1e66ae5d8294"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dr. pyckle and mr. pryde\n", "labels": "Who stars as the title characters of the 1925 spoof film 'Dr Pyckle and Mr Pryde'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-089424517e7e4d57973014218381418f"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dr. quinn, medicine woman\n", "labels": "Who played the title role in the UK television series 'Dr Quinn, Medicine Woman'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-40b0a18e0b874822993e038855759532"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dr. who\n", "labels": "Which 'Dr. Who' actor came between Patrick Troughton and Tom Baker?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3c9f193cea6d4e8690d1ad9c40a45033"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dueling banjos\n", "labels": "The tune Duelling Banjos featured in which 1972 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5af70c6832e34d629884492e7b769a87"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: duffel\n", "labels": "Duffel bags were made in Duffel - what country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-82af15f1dc874f4c912dcc8b654dccfa"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: duke\n", "labels": "Which trio had their first No 1 album with 'Duke' in 1980?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-13c05303569c46889424375347653017"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: duke of mantua\n", "labels": "Which Verdi opera opens with a banquet in the palace of the Duke of Mantua?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e711f006f4414413a63722593331fd5b"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: state duma\n", "labels": "In what country is The Duma part of parliament?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-4cfe5d05ed5f4eb0840d535934e05232"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: duncan grant\n", "labels": "Roger Fry, Vanessa Bell, and Duncan Grant were part of which English art movement in the 1920's and 30's?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1ffb9f682db14a0994fa381711aef3d4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dustin hoffman\n", "labels": "Meryl Streep and Dustin Hoffman play husband and wife in which 1979 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-589e75b90f9742309c17b39102d72466"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: dynamite\n", "labels": "Which singer was known as 'Little Miss Dynamite'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-20e9eb1c4bfd4d588e16c12c5dc071f2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: eamon de valera\n", "labels": "Eamon de Valera founded which political party in 1926?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-86e720f198414fc3a39cc7b98a06fdd3"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: earl derr biggers\n", "labels": "What fictional Chinese-American detective, created by Earl Derr Biggers in 1923 for a novel published in 1925, was the subject of over 45 films made between 1926 and 1981?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c387b92369034db79a4d4f3edf4c6876"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: earthquake\n", "labels": "What is the word for the point on the Earth's surface that is directly above the point where an earthquake or underground explosion originates?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-585c3702c3a8459db259bf1c8fb80cf6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: eastenders\n", "labels": "Which actor appeared in 'The Paradise Club' and 'Eastenders'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e6eb42ad916345a583188b7e207c9e07"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: eastenders\n", "labels": "In a special live edition of 'East Enders', which character was the Olympic torch bearer?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-e6eb42ad916345a583188b7e207c9e07"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: easter\n", "labels": "In the Christian calendar, what is the week before Easter, historically a time of abstinence from eating flesh, drinking wine and carrying on business?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8a6d6f8fef814fa9bbae89f4eb9a9dba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: easter island\n", "labels": "Which country is Easter Island a territory of?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f1a6abacb6af4969a0febd3c0ed43cef"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: easter parade\n", "labels": "Easter Parade (1948), starring Judy Garland and Fred Astaire, featured songs by whom?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-1b7809f0bafb48889536869baf7fb19a"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: paul schulze\n", "labels": "Zoey Barkow, Kevin Peyton, Eddie Walzer and Fitch Cooper are all characters in which US television series?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0dd28bf44240490c86edd5eef343ced2"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: eden park\n", "labels": "Eden Park staged some of the 2011 Rugby World Cup matches, in which city can it be found?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-8486350d4e0b4d2aa78696f0f589d635"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edgar allan poe\n", "labels": "Written by Edgar Allen Poe and published in 1845, what poem repeats the famous line `nevermore`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b3638b563b884474bbe72c22d98520ac"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edinburgh\n", "labels": "A novel by Irvine Welsh set in Edinburgh was made into which 1996 film?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-5270122c7bc743189e6b443cb8bb0a58"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edmund barton\n", "labels": "From 1901-1903, Edmund Barton was the first Prime Minister of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a8ea1a2c61e14ca08ae6e40d1090cf47"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: ed sullivan\n", "labels": "What was the Ed Sullivan Show originally called?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-c5e7d488caf34e658095e7f98069afba"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward gibbon\n", "labels": "Edward Gibbon was famed for which great historical work?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-89bf44fe6194413696ed1ee0f66d96b8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward grimes\n", "labels": "John and Edward Grimes, who first appeared on ITV's 2009 X Factor, are known by what name?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-a0c28503e2e842768675f9f6144b5113"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward ii\n", "labels": "Who wrote the play 'Edward II'?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-d05417da292748beaf3f1a7f16279dd4"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward irving\n", "labels": "What church, known as the Irvingites mainly due to the preaching of Edward Irving, was founded in Scotland in 1832?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-f60a806246fb4b599dd29f35daa030a8"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: prince edward islands\n", "labels": "The Prince Edward Islands in the Indian ocean are part of which country?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-b22f1beccc034b939314e7bded3fccc6"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward scissorhands\n", "labels": "Who directed The Nightmare Before Christmas and Edward Scissorhands?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-52a3763bc4ef445ba2cf560e495d6b00"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward scissorhands\n", "labels": "Who played the title role in the film `Edward Scissorhands`?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-52a3763bc4ef445ba2cf560e495d6b00"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: edward vi of england\n", "labels": "Who was the mother of Edward VI?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-dc0bd691e7a74ec080fcb151fb1d42ec"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: egon spengler\n", "labels": "In which films do the characters Peter Venkman, Ray Stantz, Egon Spengler and Winston Zeddemore appear?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3fa3d1a1840f49a8b480a21ff7742282"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: egypt\n", "labels": "What was the surname of the President of Egypt at the time?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-6f0e195f2e7b4222abf6d1057c9d13fc"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: egyptian mythology\n", "labels": "In Egyptian mythology who was the god of embalming who also watched over the dead?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-3be0119f684e4b76ab9c9da24cf6b243"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: electric current\n", "labels": "In the SI system, what is the basic unit for the measurement of electric current?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-02ac1aaa7da8438b9043eec2b0aa0e44"}, {"text": "Definition: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.\nInput: elegy written in a country churchyard\n", "labels": "Who wrote Elegy in a Country Churchyard?", "task_name": "task897_freebase_qa_topic_question_generation", "task_category": "question_generation", "id": "task897-0fbe0c9c09bd470dbedf2f6759661e61"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Songwriter Jack White (vocals, guitar and piano) and Meg White (drums and occasional vocals) make up which American rock duo who produced three Grammy Award (Best Alternative Music Album) winning albums (Elephant, Get Behind Me Satan & Icky Thump)?\n", "labels": "the white stripes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4408cd1544074f49b4231687cc5b90b7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: El Gouna, known as the Venice of the Red Sea, is a holiday resort in which country?\n", "labels": "egypt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-003f5a4deff748f7a5fcc508228eef2e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of Elizabeth Barrett Browning's dog to whom she famously addressed a poem?\n", "labels": "flush", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c86650bbb86b44cc968705ee9aca2ac9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who fell out of favour with Queen Elizabeth I over his intrigue with Elizabeth Throgmorton, was imprisoned and eventually beheaded?\n", "labels": "walter raleigh", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-855404666f204988849e7b5239ce87af"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Actress Ellen Ternan had a relationship with which British author?\n", "labels": "charles dickens", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4e0c37fd565b4319aa89bf624fd3fea0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Elliot Carver is the villain in which James Bond film?\n", "labels": "tomorrow never dies", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9ae0bea617df4dbdb6a103a795307401"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Elliot Ness in the 1987 film The Untouchables?\n", "labels": "kevin costner", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1e3ce273945141c49f04c45ea454ef93"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British city is served by 'Elmdon Airport'?\n", "labels": "birmingham", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-84b08b9f53874983ba2c6cf08ff52284"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which late actress played Elsie Tanner in the UK tv soap 'Coronation Street'?\n", "labels": "patricia phoenix", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0a315680c9204fb98423ced30492af7e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Shakespeare play is set in Elsinore Castle?\n", "labels": "hamlet", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e81b100562484c9495cfa1cf188f08a1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In November 1982 Eltham Little Theatre in London was renamed after which performer born in Eltham in 1903 who raised funds for the theatre?\n", "labels": "bob hope", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-015d900e2e3e46f69d7bac47e017957c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which cover of an Elvis song gave the Pet Shop Boys a number one in 1987?\n", "labels": "always on my mind", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a51bd60183594b209a94adf32b23612b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Elvis Presley's manager, Andreas Cornelis van Kujik, was better known by what name?\n", "labels": "colonel tom parker", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c80e1087087b4f3cb8423b509c0cf731"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Elvis Presley film has the word love in the title and is the only one in which his character dies?\n", "labels": "love me tender", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e89a3f4ae2d74b0ba473c6d0f40afc0a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the first Elvis Presley single to reach number one in the UK?\n", "labels": "all shook up", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-39374ba9e36147aba051cd201b6877d1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Elvis Presley hit was simply 'O Sole Mio' with a new lyric?\n", "labels": "it's now or never", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f4ae831c675643cc9e1d975c52ce01a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was Elvis Presley's only UK number one with a one word title?\n", "labels": "surrender", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5f65b76ddc2240eeaf7c821828aa4fe6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Elvis Presley sang a few lines in German on which US hit song?\n", "labels": "wooden heart", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-760a73b71f524b1993863f1b416db4c0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which TV series was about a pop group called The Majestics featuring Robbie Coltrane and Emma Thompson?\n", "labels": "tutti frutti", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d501fcb92d314678942bfaf64a6acdad"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous scientist married his cousin Emma Wedgwood?\n", "labels": "charles darwin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-095edde4107444ae9466e0d979dcd72a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: From which country does the cheese emmental originate?\n", "labels": "switzerland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-58f1b309abde49a7a1bbfa1986662a91"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Dr Emmett Brown was a character in which series of films?\n", "labels": "back to the future", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-169b02a5f2ca4e99ac032eedb677dbe9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who composed the Emperor Concerto?\n", "labels": "ludwig van beethoven", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7b6d2e126a904ac4be058c3f9ae189fa"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Boyband sang about the End of the Road in 1992?\n", "labels": "boyz ii men", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e5cc8d2635c14466898c844baa35af85"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which US hip hop group recorded the 2009 album the E.N.D., gaining three No. 1 hits?\n", "labels": "the black eyed peas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0609edc81aa4406e88753767a51b8927"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which energy drink is advertised with the slogan '..gives you wings'?\n", "labels": "red bull", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-00e810711dd748c2b7abbe3ed87b0fd8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Described by Elizabeth I as 'the fairest and godliest church in England', in which city is the church of St Mary Redcliffe?\n", "labels": "bristol", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a74a9e96e16e412fab6e7ad31758e3aa"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: On which river does the High Force waterfall stand in England?\n", "labels": "river tees", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d6dce539f79a475f85abfa88069a7330"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the largest city in the Midlands region of England?\n", "labels": "birmingham", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-231cf17719bf4be5973a96328c845979"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the first head of the Church of England?\n", "labels": "henry viii of england", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-89a89f6638e04a6f88a7ec5a564eb069"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which son of Sweyn Forkbeard became King of England in 1016?\n", "labels": "cnut the great", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-edc0401987aa4d97ad2e147e1ef6adfe"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was on the throne of England in 1472?\n", "labels": "edward iv of england", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-08bf0676992847269a5c23777e1d399e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the last Catholic monarch to reign over England?\n", "labels": "james ii of england", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cd031fb53ee34fafbc1d7e4e31dd0597"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which female singer won her second Mercury Music Prize in 2011 for her album let England Shake'?\n", "labels": "pj harvey", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-78c2c513288c4bbb81ae571bf76a5345"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which English city has a Railway Station called Forster Square?\n", "labels": "bradford", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-21e16d1315ca423a9bf59f4c219acad1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which English city was Marks and Spencer founded in 1884?\n", "labels": "leeds", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-36a45cba588f4958b83a2c6cefcd8875"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which English city is Preston Park railway station?\n", "labels": "brighton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-44ca42ddcd784d249266d1cd83370bcf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Southern English city has districts called Shirley, Bassett Green and Thornhill ?\n", "labels": "southampton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9a7b67d3d3d143baad29e9d741ee22dc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The English football team played the World Cup Final in 1966 in what coloured shirts?\n", "labels": "red", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fff58a93bd224588b1df34074f1e9609"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the current coach of the English national cricket team?\n", "labels": "andy flower", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6450f60e64ab4650b73a9b4d834eb1e8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the title role in the 1996 film 'The English Patient'?\n", "labels": "ralph fiennes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5cae21850c394801a13a057e9586310e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which English queen is said to haunt the library at Windsor Castle?\n", "labels": "elizabeth i of england", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5a4348b68a454a0380c9855fcabf4de3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 'English Riviera' is in which county?\n", "labels": "devon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-95b49f8f3cf042c2b6019cd4c5ae265b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The three largest towns in 'The English Riviera' are Torquay, Paignton, and  what?\n", "labels": "brixham", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ac85614ca9c04df9a5f500a62143d646"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 20th Century English playwright wrote 'Entertaining Mr Sloane'?\n", "labels": "joe orton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-181e53d6ed9e43dcbdadcd2530bb65d5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who starred in the film `Enter The Dragon` ?\n", "labels": "bruce lee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-348561cf89a9416692f53c91c681fe64"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who starred in the film `Enter The Dragon`?\n", "labels": "bruce lee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-53637cbbf9de4303b9afb8d2a9966f2c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote 'Jurassic Park' and created the TV series ER?\n", "labels": "michael crichton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-de50ff9597bf4a6a9e959d1d87c16e86"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which super-group did Eric Clapton join, after the pop group, Cream split up?\n", "labels": "blind faith", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bd89e8ed1c7c4dc5862d02f5803c436f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was Erich Weiss better known as?\n", "labels": "harry houdini", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-447c262e67a54a1b9dc400a5b75fe110"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: To what is Lake Erie connected by the Erie canal?\n", "labels": "hudson river", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2e2f4e1422d8490abe21658fae9280f9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Philo, Octavia and Eros appear in which play?\n", "labels": "antony and cleopatra", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5c6e02c773b446bd9ba04d7f8ee240c8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Errol Brown who died last month was best known as a member of which band?\n", "labels": "hot chocolate", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9bb9fc0ea8024d2bad71cafef350b763"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible who was the father of Jacob and Esau?\n", "labels": "isaac", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-70b49374852a4836899b09c8a2416325"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which very famous actor had three wives, Josephine Alicia Saenz, Esperanza Baur and Pilar Pallete?\n", "labels": "john wayne", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3d4ad1e3a8224a1485d9a86bfb3f137a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Espoo and Tampere are the second and third largest cities by population in which European country?\n", "labels": "finland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a813c8f7cfe34308be0f5ee03f8f3337"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The port of Immingham is to be found on which estuary?\n", "labels": "humber", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-596dda142faa43719e1aeecd92adaaf1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The rivers Trent and Ouse flow into which estuary?\n", "labels": "humber", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-21ee31a436c74b9ba3a9d93033d44163"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played 'Gertie' in the film 'E.T.'?\n", "labels": "drew barrymore", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-570e128e1e6746959fbbca5b93f2d06b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: William Frawley and Vivian Vance played Fred and Ethel Mertz in which popular 1950's American TV comedy show?\n", "labels": "i love lucy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-537b66215fba4043a10fc1d8b4631861"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the latest country to join the EU, doing so in July 2013?\n", "labels": "croatia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6f3d8aedf3f44ce098e8508e5d86fd62"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the book on which Tchaikovsky based his opera, Eugene Onegin?\n", "labels": "alexander pushkin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fd56b44402904a6aa5f2fe047e38df77"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Eugene Onegin and The Queen of Spades were operas by which composer?\n", "labels": "pyotr ilyich tchaikovsky", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ea770cf75fbe4e29b9cab4368f411a6c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Eureka', the National Children's Museum is in which town?\n", "labels": "halifax", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8168e742a2264e308b6465bcee2aeca0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Europa Point is the southern tip of which British territory?\n", "labels": "gibraltar", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9f75d8705d684740a0be333202985cf4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Folketing is the parliament of which European country?\n", "labels": "denmark", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f1d665cd6a0c45e38671df40da019bc5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the spacecraft launched in 2004 by the European Space Agency to chase the comet 67P Churuyumov-Gerasimenko?\n", "labels": "rosetta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f3da47f65ff4405cb35c95995646a3de"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country took over the Presidency of the European Union from Sweden on 1st. January 2010?\n", "labels": "spain", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-84b073ce5a644777aa434885fec3bcd9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: According to The Guinness Book of World Records the village of Bernotai in which country is the geographic centre of Europe?\n", "labels": "lithuania", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-751b5fc1aa784a82baf4e683c6de9283"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which nation has the longest coastline of any country located entirely within Europe?\n", "labels": "norway", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d7936afd4bb042adab05098895955423"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the second largest country in Europe?\n", "labels": "ukraine", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-909543f031924ec3bbd95f4f81f7bb35"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is Europe's smallest state?\n", "labels": "vatican city", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6bf971615ac445d491fdff512d1b9fca"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the largest active volcano in Europe?\n", "labels": "mount etna", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5395976bce7541ae814051a356196545"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the southernmost capital city in Europe?\n", "labels": "valletta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f31ca27751c340e3a117507560fab1c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mt Elbrus, Europe's highest, is in which country?\n", "labels": "russia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9c862a179919461dbd8229c3778ad023"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Former football player Eusebio, who died in January 2014, played for which national team?\n", "labels": "portugal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0935cd09296f47949548887707b87894"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a number one hit in July 2009 with 'Evacuate The Dancefloor'?\n", "labels": "cascada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-57eec7afe95c4be986a876675381ef1b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the early 1970s, Lynne Paul and Eve Graham were the lead singers in which group?\n", "labels": "the new seekers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fbee5556a36848789c5dcedf5992b003"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Everley Brothers hit was the best selling single in Britain in the year 1958?\n", "labels": "all i have to do is dream", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b51f803ce8464c148cb724aaee83224b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In football, Emlyn Hughes joined Liverpool and Alan Ball joined Everton from which club?\n", "labels": "blackpool", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-08ac64449c5c454b805a9960d691b06e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote a novel based on the Titanic story entitled Every Man For Himself'?\n", "labels": "beryl bainbridge", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7843b93cc4a949c68bc71715a9679189"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the screenplay for the film 'The Exorcist'?\n", "labels": "william peter blatty", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a0f0c6bb340a4a20ac32478e6849576f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whose first UK top ten 20 single was `Eyes Without A Face` in 1984?\n", "labels": "billy idol", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0644bc82c1e143c9b4fce04b1f6ef2e1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Ezzard Charles was a world champion in which sport?\n", "labels": "boxing", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-92655274b8f5400287872fd96252f4b6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1973, which club became the first Second Division side to win the FA Cup since the war?\n", "labels": "sunderland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f2260b756ef449d0a488fce53953e3c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which English football team was both the last to win the FA Cup final at the old Wembley Stadium, and the first to win the FA Cup final at the New Wembley Stadium?\n", "labels": "chelsea", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a302a5e03cf942258e552eecfd737d51"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who were the first winners of the FA Cup at the new Wembley Stadium?\n", "labels": "chelsea", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7199a9fff94d45b19cbb189766e26ed3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Since the foundation of the Football League which is the only team from outside the League (or Premier League) to win the FA Cup, doing so in 1901?\n", "labels": "tottenham hotspur f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ed316375206e488b871640c5f58f32c8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country fid Fado music originate?\n", "labels": "portugal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e0bebc03427c477a9e9b9f5a553a9d03"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The style of singing known as Fado comes from which European country?\n", "labels": "portugal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4303e325c50440939a9e1b3fc0c4f359"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Germanic mythology what sort of monster was Fafnir?\n", "labels": "dragon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-457af7aa60a645bf8ca173787ccad0df"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Fagin in the original West End production of Oliver and in the 1968 film of the same name?\n", "labels": "ron moody", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-244d573d576a472384d7d2c448dd09a3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The species name Fagus as in Fagus Sylvatica and Fagus Purpurea has the common English name for which tree ?\n", "labels": "beech", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4846a1437b4a412da1f8b405b4364e02"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Theseus, Hyppolyta, Nick Bottom, and Oberon the King of the Fairies are in Shakespeare's play?\n", "labels": "a midsummer night's dream", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ccf856011d314420bce38d3ed6ed9273"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What kind of creature is a falabella?\n", "labels": "horse", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-88db037583f74613944b82a251a635be"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whose last opera was Falstaff?\n", "labels": "giuseppe verdi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3e5c8e6d415c4ca4bdb429a8baf012c4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who created the US animated series 'Family Guy' in 1998?\n", "labels": "seth macfarlane", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-59fde8176d7a48a08465a8e601a7e84e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which US singer was born Alecia Moore in 1979, her hits include 'Get the Party Started', 'Family Portrait', 'Stupid Girls' and 'Who Knew'?\n", "labels": "pink", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e3018b7124664c6e94f8abc73c3bf63c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which author created the character of Fantastic Mr Fox?\n", "labels": "roald dahl", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a5aefa643f384f2697d761d04dabb51e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American author wrote `A Farewell To Arms` in 1929?\n", "labels": "ernest hemingway", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e5e4f96a8bf44d18adba07142f8105f0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Oct 5, 1902 saw the birth of Ray Kroc, who started which ubiquitous food source, the most successful fast food operation in the world?\n", "labels": "mcdonald's", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-527d872fa5234292b5de274af87d82f9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Norman Cook, known as Fat Boy Slim, began his music career as a member of which chart-topping group?\n", "labels": "the housemartins", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ea2e3fc8227943d09abbf34dcafd4d46"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Named after a service station on the M4, which chef is proprietor of The Fat Duck and has been In Search of Perfection in print and on the media?\n", "labels": "heston blumenthal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e17a6ec4b1da4a75a58692dbc422f6a8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What kissing disease, common among teenagers, can cause swollen lymph nodes and fatigue?\n", "labels": "infectious mononucleosis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-86f1f4799d7442008683f0da8014a6e0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which piano-playing singer's first hit was The Fat Man?\n", "labels": "fats domino", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-27be8711892946d797779dea4de3cd9b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Fats Domino was noted for playing which instrument?\n", "labels": "piano", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-066ca24616714170a180df7ace533eac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which band released a 2007 album entitled 'Favourite Worst Nightmare'?\n", "labels": "arctic monkeys", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-88c1e6a11c8f490f820de76c70f9bfcd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Harry Potter books, what type of mythical creature is 'Fawkes'?\n", "labels": "phoenix", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-65c1792bfce542b384771de57f5261cf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the profession of Fay Wray`s character in the 1933 film `King Kong` Journalist, Writer or Actress?\n", "labels": "actress", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-de89033ebcfc4de0bc28b4344e87add8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: FIDE (Federation Internationale Des Echecs) is the world federation of which activity?\n", "labels": "chess", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5936b782329c4e74b0dbb7c6c9d70bad"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Italian coastal resort is served by Federico Fellini Airport?\n", "labels": "rimini", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6d34ca8af80748cdbdff8182813d1f1f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Feel Like Making Love' and 'The First Time Ever I Saw Your Face' were hit singles for which female artist?\n", "labels": "roberta flack", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cb88002d5d1241d0863b1b89803ba2ea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Felipe de Jesus Calderon Hinojosa became President of which country in December 2006?\n", "labels": "mexico", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f5d7bdef868d49a3b7745fe791a1d41a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which nation in 2014 saw the abdication of Juan Carlos and the ascension of Felipe VI?\n", "labels": "spain", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fb0f4d7fe8344a50abec314ed0545bab"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Adallo', 'Fenena' and 'Abigaillon' are characters in which opera by Verdi?\n", "labels": "nabucco", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e6ed70bf39c545229174990ff4c5fc1d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who did Fess Parker play in on TV 1964?\n", "labels": "daniel boone", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-940d004319a74bfe8f0e9b9333eb6eed"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which Shakespeare play does Feste the clown say Many a good hanging prevents a bad marriage?\n", "labels": "twelfth night", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-583e6b7b28ef46b3895bf43bcb1f90c8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Unst, Yell and Fetlar are part of which island group?\n", "labels": "shetland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-587ed0fa056c4819a872b54f2d96147b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Nick Hornby`s book `Fever Pitch` is about supporting which English football team?\n", "labels": "arsenal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9b7dd0d52636413a852eb9fca6c9b721"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 2005 US film 'Fever Pitch', starring Drew Barrymore, is about which sport?\n", "labels": "baseball", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3e800e52744e4970a19724ca0aff8288"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What station is at the western end of the Ffestiniog railway in Wales?\n", "labels": "porthmadog", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b1becfcadbd14b78819a454967210e71"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whom did Ffion Jenkins many in 1997?\n", "labels": "william hague", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-40ff12f7ee8c4ad08e0ba91d196edea4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: FIFA is an international organization governing what sport?\n", "labels": "association football", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8d848ac0889647f0bf2c88e1de2bdd7f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With what is FIFA usually associated?\n", "labels": "football", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8e7df6a90eb04b7dbdb7439691946548"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Sir Thomas Sopwith designed what famous British biplane fighter aircraft, whose name combined his own name with an animal?\n", "labels": "sopwith camel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cfb6621c16694f56b4e975a87f81097b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of the German fighter pilot known as the Red Baron, officially credited with 80 confirmed air combat victories, who died in 1918, from wounds sustained in combat?\n", "labels": "manfred von richthofen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1070811e7e434c07aa318d7e635b4f78"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capitol of Fiji?\n", "labels": "suva", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5cd64eba6a114a68bf307a16cad79437"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Filbert Fox is the mascot of which English football club?\n", "labels": "leicester city f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-06bbb334b03b4980a06b195919ac1757"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who directed the film Life of Pi?\n", "labels": "ang lee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-efbbf8d5f8e84b5bbdc8557e49520b7c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the first name of British film producer J Arthur Rank?\n", "labels": "joseph", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-37d87dc3e59a4b9da6b2c6c89610f718"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a 2012 hit album with Finally Famous?\n", "labels": "big sean", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-992a54faf5c149f3b922e458c9c862ba"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital city of Finland?\n", "labels": "helsinki", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2513b0cf9b3744ec88661025aa0f0558"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Milford Sound in Fiordland National Park that was once judged the world's top travel destination is in which country?\n", "labels": "new zealand", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ec613f2bef1b42319428845e8058230a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who composed 'On Hearing The First Cuckoo In Spring'?\n", "labels": "frederick delius", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2bce0bf49e434225ae2e67237e086b9c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who, in 2010, became the first Green Party member of the House of Commons?\n", "labels": "caroline lucas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-be499f2dd1c0410ea8b9eebba1154825"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became the First Minister of Scotland when the Scottish Parliament was established in 1999?\n", "labels": "donald dewar", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-334d7d142ead4cfd885224e55d022dc8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Rome, who formed the 'First Triumvirate' with Julius Caesar and Crassus?\n", "labels": "pompey", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6461c17329b74051b1be290bd35318df"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was president for the duration of the First World War?\n", "labels": "woodrow wilson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-de7f66edad61403f948552e545a68d5a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who co-starred with Robin Williams in The Fisher King?\n", "labels": "jeff bridges", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-82d2c8db7ad843c49ec3736a1cc171a1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the Japanese dish of bite-sized pieces of raw fish served with dipping sauces, vegetables and wasabi?\n", "labels": "sashimi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-13d9025ace584b4bbd6eab0ab98942b6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which town or city is the Fitzwilliam Museum?\n", "labels": "cambridge", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-416490e7c22c4809b37c2f80cc86284e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Fitzwilliam Museum is in which British town or city?\n", "labels": "cambridge", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-86fb6905c4e84d2a810cc08d378ebcad"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote Five Red Herrings and The Nine Tailors?\n", "labels": "dorothy l. sayers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e9e785c8aa8f4fe59fe1a7bb3eb02c20"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the main enemy of Flash Gordon?\n", "labels": "ming the merciless", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-64875abdd5c641348fb076e3c3d367f9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American cartoonist was responsible for the popular 1934 comic strip Flash Gordon ?\n", "labels": "alex raymond", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0f36a629d07840beaf8144f4da2b7b8a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Flash Gordon in the 1936 film of that title?\n", "labels": "buster crabbe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-40fff49bb9814202904bef15a0b65309"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actor played the roll of Fletcher Christian in the 1962 film Mutiny on the Bounty?\n", "labels": "marlon brando", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8f4b21d9f0a3429eb3720cff09b2b664"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played 'Fletcher Christian' to Charles Laughton's 'Captain Bligh' in the film 'Mutiny On The Bounty'?\n", "labels": "clark gable", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-596d3b589b514b18b3830e7c5ef5d08a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The flight of the Bumblebee comes from which Opera?\n", "labels": "the tale of tsar saltan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e3499f36c9594445910ef46405a156e1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Scottish king was killed at the Battle of Flodden in 1513?\n", "labels": "james iv of scotland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2d1d489132c04abda0513e88ae9a6572"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which English county is Flodden Field, the site of the famous battle of the same name?\n", "labels": "northumberland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-65fde1eacc6147389964ec3fbde20d3e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which novel does Flora Poste move to live with her relatives, the Starkadders, in Sussex?\n", "labels": "cold comfort farm", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2367e0fcf74349b8b970ca55970bbdd8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the correct title of a 2008 Flo Rida No.1?\n", "labels": "low", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f6fb8018a046400d9d2b5199e256b319"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: `Flowers In The Rain` holds the distinction of being the very first record played on Radio One, but who performed it?\n", "labels": "the move", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8b9352a1b96e456ba6f705e8518d513c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What type of transport was `The Flying Dutchman`?\n", "labels": "ship", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8d59ce1b90444493a9295f2bd83d434a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Thought to have received the name because its riverside location made it susceptible to concentrations of fog and industrial smoke, Foggy Bottom is one of the oldest and best known neighborhoods of which US city?\n", "labels": "washington, d.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4f636e94ce6a4dd48f46cdb931828ec8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the only man to have captained England at both cricket and football?\n", "labels": "r. e. foster", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-779807debf7b46859a68b83381b9ba8f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Gulls is the nickname of which English Football League team?\n", "labels": "torquay united f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c23ccf6adfe04e27af85b5cf87ff1448"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the only team that has never been relegated from the top tier (Premier or old First Division) of English football?\n", "labels": "wigan athletic f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-752b67578e3044ea9dcf7f9a4b16d57f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: By what name are Football League team Heaton Norris now known?\n", "labels": "stockport county f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-600323b0773b4225a7ca0817db3259b4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What football league team did cricketer Ian Botham play for?\n", "labels": "scunthorpe united", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3ea0706f8b584c0f91e720ce70f474ca"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Scottish League football team used to be called the Diamonds (they folded and a new club was formed)?\n", "labels": "airdrieonians f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-adf26031f6c344559bdbfaeec90caaa8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Football League club was founded in 2004?\n", "labels": "milton keynes dons f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-28290d2ab6ff4044b7e7a95cc7a307d2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Randolph Lerner is the chairman of which Premiership football club?\n", "labels": "aston villa f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9519200d54e843d296f794f8e4031b95"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: On which Premier League football clubs badge would you find Prince Rupert's Tower?\n", "labels": "everton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-587232a024f44d3090c7b936967738ec"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Footballer George Best, made his name with Manchester United, but with which club did he finish his league career?\n", "labels": "bournemouth", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-331a25161f8f4a6fbc5ca26777313e1b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which football team were formed in 1867 from a cricket club and got their name because they could only play on one day of the week?\n", "labels": "sheffield wednesday", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7e19d73f21524640bae0fc0d69b6bc80"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which European football club is nicknamed as `La Vicchia Signora`, which translates as `the old lady`?\n", "labels": "juventus", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2a79fdde20d248c7bd08e33becd208d8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Englsih football club play home matches at the Sports Direct Arena?\n", "labels": "newcastle united f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e4b08acb0e54473ba55aa137eba37b89"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What are Philadelphia`s American Football team called?\n", "labels": "philadelphia eagles", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8655521cdd1d4de4889a530a54f8a752"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Built 1406-1420 as a political HQ/palace, The Forbidden City is in?\n", "labels": "beijing", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2cb304b3dd5f4bd89ba39cd8f5b5ce75"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actor played a character who was frozen for 50 years in the film `Forever Young`?\n", "labels": "mel gibson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-45ba1544dc144377a55de0304f16edd7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Red Bull driver was Formula One 2010 World Champion?\n", "labels": "sebastian vettel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-519b2f11d64e4425831623453c78d3bd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 2007, Forrest Whittaker won the 'Oscar' for Best Actor for his role in which film?\n", "labels": "the last king of scotland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-16350771a0514f27beb7b3f8ae8f045c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The winner of the Nobel prize for Literature in 1932, who wrote Forsyte Saga?\n", "labels": "john galsworthy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6da9db0179e84f8f83fd51aaf2c48110"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British engineer designed the Forth Bridge and the original Aswan Dam?\n", "labels": "benjamin baker", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4b38b8d66317491ebf085f064cb65eab"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: For The Love of God is a famous Skull work by which artist?\n", "labels": "damien hirst", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3b4575fe393c42b48bdc0397a391001d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Forty Years On' is the title of the first West End play by which British playwright?\n", "labels": "alan bennett", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5a2e5365e3224ae5a3bcd034611b6532"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which character played by Janet Brown appears at the end of the Bond film For Your Eyes Only?\n", "labels": "margaret thatcher", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5ef141e3f42b4d7bb953e66125a26229"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mary Queen of Scots was executed in Fotheringhay Castle, but which county is it in?\n", "labels": "northamptonshire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2cf925fa444d4e55a2a8b2609377f686"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which former MP wrote The Four Feathers and stories featuring Inspector Hanaud?\n", "labels": "a. e. w. mason", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5942e12b440743469d926cef9d164032"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the first man to run a sub four minute mile?\n", "labels": "roger bannister", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5d381e3e2067482c9cc0294fe3a862a2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the 'Harry Potter' books, 'Hogwarts school' has four houses, 'Gryffindor', 'Slytherin' and 'Ravenclaw' are three, what is the fourth?\n", "labels": "hogwarts", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d14144a1db6b44079289d023e07d7e0d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the first program shown on Fox when the network started broadcasting in prime time in April 1987?\n", "labels": "married... with children", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4ce31807782340869550c902a771c696"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With which country did France agree a 50 year treaty in November 2010 entailing joint forces, and sharing an aircraft carrier and nuclear technology?\n", "labels": "united kingdom", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5432cace4d5348a2a61bfcd95babb17c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In what area of France is champagne made?\n", "labels": "reims", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b64cb579f87a416494fbe41f6e2165ee"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is France's biggest coastal city?\n", "labels": "marseille", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cf56018017f54ca1b158adc35689a04e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which city, home to the tallest and largest Gothic cathedral in France is the capital of Picardy region and the Somme department?\n", "labels": "amiens", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-20b51b2d6b544219a19badaa39219b10"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which battle between England and France was fought in August 1346?\n", "labels": "battle of crecy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e05ff33e94c9434088a92937ddca218e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: June 2, 1886 saw which US President, the 22nd (and 24th), marry Frances Folsom in the White House, the only president who actually got married at the White House?\n", "labels": "grover cleveland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6abaa0a1401b41049029c1f45589ef27"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Irish-born Francis Bacon (1909-1992) is known in what field?\n", "labels": "painting", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a699dc7934784d338ca9358bb3e8b975"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Franco Alfano completed which Puccini opera after the composers death in 1924?\n", "labels": "turandot", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9d9f34dd8d02451c870cd501909ecff8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the 2002 film directed by Steven Spielberg in which Leonardo DiCaprio starred as real life con man Frank Abagnale?\n", "labels": "catch me if you can", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-98cf367a7d0c4ac0bda5fc2317fc95d8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With what song did Frank Bruno get into the top thirty?\n", "labels": "eye of the tiger", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-39fcb7a3c28b4e5182911c4cc52b5f89"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country was architect Frank Gehry born?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-450d85ec32524881bdd7321d3e49e0b7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which former chart topping song for Frankie Laine gave the Jimi Hendrix Experience their first British hit?\n", "labels": "hey joe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fd18e66927764e989a5601cc90395eba"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became President of the USA on the death of Franklin D Roosevelt and remained in office until 1953?\n", "labels": "harry s. truman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-70ee4f5246d94b99a34d9a508268bf5d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In what stage show does Frank N Furter appear?\n", "labels": "the rocky horror picture show", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6b918237956f43cda80dc368a1e08be5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which company was founded and named after the inventor of vulcanised rubber in 1898, almost 4 decades after his death, by Frank Seiberling?\n", "labels": "goodyear", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cffff83520364c3193dc8e7bc69d0d44"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of these is the title of a famous Frank Sinatra retrospective album?\n", "labels": "september of my years", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-43228f8807ef44c7bcae112d6d999a6b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actress married and divorced both Mickey Rooney and Frank Sinatra?\n", "labels": "ava gardner", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d73c3be5f2ec4c01a9c907ae79093a49"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who assassinated Arch duke Franz Ferdinand in Sarajevo in 1914?\n", "labels": "gavrilo princip", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ea05d14312dc4633b5ceb601fd0b40a3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the actor who has now become famous for his role as the killer Freddie Kruger in the 1984 film A Nightmare on Elm street?\n", "labels": "robert englund", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-63ae9b2b71944e158a0f8a19b7cd30df"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Frederick Delius was born where?\n", "labels": "bradford", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5a5e69aabc22464ea6fa3c607b672c60"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Free Jazz and The Shape of Jazz to Come are landmark albums by which innovative jazz saxophonist?\n", "labels": "ornette coleman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a739cb2f73894b15a958758b3e4876f7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Freetown is the capital of which African country?\n", "labels": "sierra leone", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-28208580b09f4a01937040e74df13b3b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city did the action in the film `The French Connection` take place?\n", "labels": "new york", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-52aa36d04f8e45d699be7ce35443c532"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The film The French Connection is set in New York and which French city?\n", "labels": "marseille", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7a7962a39c8a4d6cb453a132ad0f84da"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the pseudonym of French dramatist Jean-Baptiste Poqueline?\n", "labels": "moliere", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2325ed9cdd2c41e49137af72a107e05e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which female singer had a top ten hit in 1986 with French Kissing In The USA?\n", "labels": "debbie harry", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6482df5464d64f5382f0911619b256b3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which playwright wrote the screenplay for the 1982 film 'The French Lieutenant's Woman'?\n", "labels": "harold pinter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3e55e404e7654b188f2ecc118b91f2ef"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which French president succeeded Charles de Gaulle?\n", "labels": "georges pompidou", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b6023924050f4c3ab07c44ab25efc93c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous chemist was executed in the French Revolution?\n", "labels": "antoine lavoisier", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-877d73f96f5d4103abd4e97080d67447"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What micronation can be found along the French Riviera?\n", "labels": "monaco", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4d4f3448fa24ea9a69dee3382b9ec5a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which muralist was married to fellow Mexican artist, Frida Kahlo?\n", "labels": "diego rivera", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4f15e184334f4962bc5ba30644df1ab2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Infinity on High and From Under the Cork Tree are albums by which band?\n", "labels": "fall out boy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7d9b19488fab405ea72e2d9bf91fbef1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: A pearmain is what type of fruit?\n", "labels": "apple", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e0be1a0d895d41a8ba0e0d8478dcb9f4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Discovery, Gillyflower and Rome Beauty are types of which fruit?\n", "labels": "apple", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6f5cf78d89a64d1f9ac2e3185eea4913"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kumquats are similar to, but smaller than, which other fruit?\n", "labels": "orange", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b3448d94e4e54e3ab5628389297608e7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the largest citrus fruit?\n", "labels": "grapefruit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ad9aa69dd9ad419a94f2e0d51619a619"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which hit for 'The Fugees' was the biggest-selling single in Britain in 1996?\n", "labels": "killing me softly", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ad02a04676a446fe903cf54307312c16"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which former international full back was manager of Leeds United when they reached the European Cup Final in 1974-75, before working as a football summariser on BBC radio for over 30 years?\n", "labels": "jimmy armfield", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-df87fb6d272a41ec9e09103934b7efd1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Funchal is the capital of which Portuguese autonomous island territory?\n", "labels": "madeira", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c00ef5251e104020bfce2c1eb8c97582"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the alcoholic, chain-smoking robot in the television series 'Futurama'?\n", "labels": "bender", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ccb6137f6ee24e9ca66809d26c03a7e0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the drunken robot in the TV series Futurama?\n", "labels": "bender", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f06a165ada7d4666baa065cdaecc37bd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Fynbo cheese is named after the island of Fyn in which European country?\n", "labels": "denmark", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3fc128f43b7945368b4e9672fb0caab9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Galapagos Islands are part of which South American country?\n", "labels": "ecuador", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-38642494437c469fb444bfdda4bfcb3e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Galapagos Islands lie in which body of water?\n", "labels": "pacific ocean", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bfc1b626bc0b4cb4bab727a208545d42"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: A wisp or walk is the collective noun for which group of birds Latin name gallinago gallinago.?\n", "labels": "snipe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7df571cf27a64ff79a8b4954399bba1a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actor plays the part of John Snow in the TV series Game of Thrones?\n", "labels": "kit harington", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dfb3e6a3892743d0a8f936148bdef1b9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gander Airport was used as a refuelling stop for transatlantic flights between the 1940s and the 1960s. In which Canadian province is it?\n", "labels": "newfoundland and labrador", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ede16fe44b6a471aa30c51caabadf13d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Actor Pierce Brosnan made his screen  debut in which British gangster film?\n", "labels": "the long good friday", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-90d6ed094dbc47fcb18962b84b51ccb7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the 70s which gangster film won an Oscar as did its sequel?\n", "labels": "the godfather", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f0a272ce941f4ebda7fee22af8c22bd1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Painted in 1905, the painting Garcon a la Pipe was a famous painting by which famous artist who died in 1973?\n", "labels": "pablo picasso", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4e8c28fc34d46e1a3a753a4557df020"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name given to the Italian fried chicken dish in which a sauce of garlic, tomatoes and white wine is used Named supposedly after an inn-keeper was forced to make a dish with any food available by Napoleonic French forces?\n", "labels": "chicken marengo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0c0cb9f332f4458d996c754edddaeaa2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Garrotxa cheese is made from the milk of which animal?\n", "labels": "goat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-00768913ea90459cb9a0239cb283d811"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the title of Gary Barlow's autobiography, released in 2006?\n", "labels": "my take", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7e44d7b14b374010aae66ccfd597ebf3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: For which film did Gary Cooper win Best Actor Oscar in 1941?\n", "labels": "alvin c. york", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6c27db0cc04f4307a72197396152a207"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: On which West Indian island was cricketer Gary Sobers born?\n", "labels": "barbados", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e65dc7292a3b4e969ed60b7110c46c0f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which African country is divided into nine provinces including Mpumalanga, Limpopo and Gauteng?\n", "labels": "south africa", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-936554abdcaa4515889a5f00493b1d99"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: On 'Super Saturday' Jessica Ennis and Mo Farah won athletics gold for Team GB, who was the third gold medalist on the day?\n", "labels": "greg rutherford", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b3ff8ba039ee430b9bf5ce496a50cfe6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which member of the 2009 Team GB won this year's Milan-San Remo cycle race?\n", "labels": "mark cavendish", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-29ba077e90ea41de98caaced85c6effe"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gene Hackman won the Best Actor 'Oscar' for his role as 'Popeye Doyle' in which film?\n", "labels": "the french connection", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1745c50ae3ae4a7c9c29ab8b635dc8c8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What TV series was created by Gene Roddenberry?\n", "labels": "star trek", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-53569e5e40f8487293177ed58959dfb2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is a genus of 422 species of flowering annual, biennial, and perennial plants commonly known as the cranesbills?\n", "labels": "geranium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c89050a816ba436c97d13fb2f52b3eb4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which tree belongs to the genus Betula?\n", "labels": "birch", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a3867252019541fe92c815f9a9a102cd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: George and Mildred and Robin's Nest were spinoffs from which 1970s sitcom?\n", "labels": "man about the house", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-617481a36b88481388b34314a054fd8a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Dick Dudgeon and Reverend Anthony Anderson are characters in which play by George Bernard Shaw?\n", "labels": "the devil's disciple", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2a5dfb9ca3984f45a0226598f94f9869"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which play by George Bernard Shaw is the daughter of 'Lady Britomart Undershaft' an Officer of the Salvation Army?\n", "labels": "major barbara", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-067cd476b398421995d370a5b2fe3001"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: George Cukor directed which 1964 film musical?\n", "labels": "my fair lady", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-292077d7700741d4b60d93e7a77f1735"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: When George Formby sang the lines: 'It may be sticky, but I never complain, I like to have a nibble at it now and again', to what was he ostensibly referring?\n", "labels": "my little stick of blackpool rock", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-712b8a9fade74e9e8a763d9411da2e79"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: George Fox is associated with the founding of which religion?\n", "labels": "quakers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7535e7b9b66a49b393ca114c3623ae5e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What religious organisation was formed under the leadership of George Fox in the mid 17th century?\n", "labels": "quakers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8ce579f2b58c4df8925906a6e145baa4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays Chief Inspector George Gently on television?\n", "labels": "martin shaw", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cc43ab2b4ee94e8fbdfca08760ceea6e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city was King George II born?\n", "labels": "hanover", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f7da7a6e3a4d4595bee2656d75f1e971"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which eighties band was comprised of George Michael & Andrew Ridgley?\n", "labels": "wham!", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3251bf95ef2d40c1b45562ee6250f6e5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lenny Small and George Milton are the main characters in which novel by John Steinbeck?\n", "labels": "of mice and men", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a78ee913f06442b5b5ca95ce342be0e6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which novel tells the tragic story of displaced migrants George Milton and Lennie Small?\n", "labels": "of mice and men", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-981a6a59f1fe4ff68f837c6a1bac099d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which film which stars John Hurt, Richard Burton (in his last film role) and Suzanna Hamilton is based on a book by George Orwell?\n", "labels": "1984", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f197d02082e549afb56f47407b3b450e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Cheshire constituency has been represented in Parliament by Neil Hamilton, Martin Bell and George Osbourne?\n", "labels": "tatton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3cbce191486b49fda2dc48ccefeb601f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With which art movement was Georges Braque associated?\n", "labels": "cubism", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dcd8f7911c4a4630b424099de0836a24"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Before becoming President of the United States, George W Bush was govenor of which state?\n", "labels": "texas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8335bec6a6b2449fa79084819a91746d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which mountains stretch from West Virginia to Georgia?\n", "labels": "blue ridge mountains", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-74688f4dd50d42958c57da73e5790416"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American composer wrote the music for the songs Stardust and Georgia on my Mind?\n", "labels": "hoagy carmichael", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c23b31d0660c4c78beb1560a638adfee"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which story by Hans Christian Andersen involves Kai, Gerda and a splintered mirror?\n", "labels": "the snow queen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f9b50e50aadd4da6b52b2d44f53e1af8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which religious reformer and theologian appeared before the 'Diet of Worms' in Germany in 1521?\n", "labels": "martin luther", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e0fb55e031174ef7adcaf13009806f27"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became Chancellor of West Germany in 1969?\n", "labels": "willy brandt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7f977298573c4dddb06898e8e9620e4c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the currency of Germany?\n", "labels": "euro", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fae77b83948a4612b5d10189eec57990"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Paul Metcalfe is the real name of which Gerry Anderson puppet character?\n", "labels": "captain scarlet", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3f62a4a8687d4932930626563f491f64"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Sportsman Gerry Watson is better by which first name?\n", "labels": "bubba", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a2f31d4aa91e45bb9a8051cc16791bef"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a 2002 hit with Get the Party Started?\n", "labels": "pink", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-134ec6942c1b42ba8e513408fe853d99"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: I Whistle A Happy Tune and Getting To Know You are two songs from Which stage musical of 1951 ?\n", "labels": "the king and i", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-748f21b68a4c4c66bce6eb6eb0f29163"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which musical features the song 'Getting to know you'?\n", "labels": "the king and i", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-51118d8c080f4aba809c171fb320a9e7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Rodolfo and Mimi are the main characters in which opera by Giacomo Puccini?\n", "labels": "la boheme", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e9667187346d43629735213b9eb92ffc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The aria 'Un bel di vedremo' (One fine day) is from which opera by Giacomo Puccini?\n", "labels": "madama butterfly", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6828893cc94c46a0a688b9a3072367f3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Although mostly associated with Manchester in which other part of the UK were the Gibb Brothers born?\n", "labels": "isle of man", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-173cb9135357476fa98b1abee89b0316"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 1958 film 'Gigi' was based on the novel by which French author?\n", "labels": "colette", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-aa8e9b4bd1e84292a467086a9c6047ee"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Gilligan's Island castaway originally hailed from Winfield, Kansas and was the youngest of the castaways?\n", "labels": "mary ann summers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-179efacb8c1d40ef8a019036cff61191"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which animated movie will you find a tortured Gingerbread Man?\n", "labels": "shrek", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-265b05d7ffd04e8b8a3a3a21e314c54d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Dante, Boccaccio, Petrarch and Giotto were based in what city in the first half of the 14th century?\n", "labels": "florence", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-99f3f638dd2e40aeb6466aab4c75a72a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the opera 'The Girl of the Golden West'?\n", "labels": "giacomo puccini", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5b82a5fc094647d4b1e1dab165a2a261"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1981 the single Girls on Film was the first top ten entry for which group?\n", "labels": "duran duran", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ceda256d161a4fb5ac01407238ef1cec"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The painting the Girl with the Pearl Earring is by which artist?\n", "labels": "johannes vermeer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eeb82192bd0d4a89a9a2543f34ec87bb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Giuseppe Rossi, who was born and raised in Clifton, New Jersey, USA, was the top scorer with 4 goals in the men's association football tournament at the 2008 Olympics. Which team did he play for?\n", "labels": "italy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-92ea1d017bd34e1b817763f75861d6bd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Give me Liberty, or give me Death! is a quotation attributed to which speaker at a court hearing on 23 March 1775, at St. John's Church in Richmond, Virginia?\n", "labels": "patrick henry", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-efff6fbd832e4f8aacfb9c3d69d7df8f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became chief designer at Givenchy in 1996?\n", "labels": "alexander mcqueen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ac9eb702a4b348ce806e673d45a395fc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who directed the film `Gladiator`?\n", "labels": "ridley scott", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d69b8dac4c7645a2bc94a688c9c57ce3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which pop singer was Glad to be Gay?\n", "labels": "tom robinson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5c9533fdbdca46bf8643b3eea8f6ccfb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What 1956 film, that satirises the U.S. occupation of Japan following World War II, starred Glenn Ford & Marlon Brando?\n", "labels": "the teahouse of the august moon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-97161fca4b9747b0b89a4e6d314d87ec"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The opera Gloriana is by which English composer?\n", "labels": "benjamin britten", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3748206e3af9463f9ec2c66abe30c1c0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the only England team goalkeeper picked by then manager Glenn Hoddle?\n", "labels": "david james", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0186ed0951894a329cd580ad0d4b2248"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays Cedric Diggory in the film Harry Potter and the Goblet of Fire?\n", "labels": "robert pattinson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fc9a301af08d48fb82d4f510638a6b4f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Greek mythology who is the God of War?\n", "labels": "ares", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3583035bab814bd99bd42c1f8b39369d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which month was named after the Roman god of war?\n", "labels": "march", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-46d22dfffb904a13bf46c98f0f80c4c7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Old television quiz shows - who was the original presenter of the TV quiz show Going for Gold?\n", "labels": "henry kelly", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ab08bd36c27148b09727a96915391f6f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the Goldberg variations?\n", "labels": "johann sebastian bach", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-43faadfa1e1d4190a93c9f5524c1ab3d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Golden Delicious is a type of which fruit?\n", "labels": "apple", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c37a91b6ccc643d7ba76d2dc16b24f05"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who, along with Leslie Bricusse, wrote the lyrics for the James Bond film song Goldfinger?\n", "labels": "anthony newley", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9b508f6b352d440d85f79d2f40fa466b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which pole vaulter won 6 consecutive IAAF World Championships, an Olympic gold, broke the world record 35 times (17 outdoor and 18 indoor records), was the first to clear both 6.0 metres and 6.10 metres (20 ft)?\n", "labels": "sergey bubka", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6fb12283d0474ceeaa23bd76e0acab72"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British band have had hit albums called `Gold Mother`, `Seven` and `Laid`?\n", "labels": "james", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-df69dfd28033438f8802ec1df620dfe5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which US state has the most golf courses?\n", "labels": "florida", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bdabb489a7044f7c8d0b7af3ba80fc5c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the books, 'Lost Horizon' and 'Goodbye Mr. Chips'?\n", "labels": "james hilton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3b6a0518fa884dd4bdeea143cd24ceab"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the books 'The Good Companions' and 'An Inspector Calls'?\n", "labels": "j. b. priestley", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7a3c70f4a45241528de2f476aa296c7b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American author, born in 1892, whose novels include 'The Good Earth', is also known by her Chinese name Sai Zhenzhu?\n", "labels": "pearl s. buck", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4840c4eafcc64804bb1fb9e2cd9d7487"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What celebrity TV chef, who currently hosts Iron Chef America, got his start as the genius behind the show Good Eats!, which ran for 14 season?\n", "labels": "alton brown", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-27b0111594ac4fe7b5cf674c10d19e9f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which football team play at Goodison Park?\n", "labels": "everton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5a0c569add5b45698ce5090de023c7b0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Scottish author wrote A Good Man in Africa, The New Confessions, and his most recent novel Ordinary Thunderstorms?\n", "labels": "william boyd", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d6f047589e8c4d3d96f397d8420ddb91"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gorgonzola cheese is from which country?\n", "labels": "italy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-251aa1e6b72d45a692293c609b67754b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which caped crusader operated in Gotham City?\n", "labels": "batman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c8ac68c71f2f4467ba32c220c7a6cd08"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gotye, an Australian multi-instrumentalist and singer-songwriter famous for award winning singles 2011 to 2013, including Grammy awards and Record of the Year, was born where?\n", "labels": "belgium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2502be9919cd4a9b8373ffd971100520"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Ronald Reagan was governor of which US state?\n", "labels": "california", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f081bc2ab87643dd91477a9bac046ade"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Graca Machel, the widow of a President of Mozambique, is the wife of which famous man?\n", "labels": "nelson mandela", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-68c64f97041743f19648ab0cbf7b41c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Dairy cows named Maggie, Mrs. Colloway and Grace are leading characters in which movie?\n", "labels": "home on the range", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7997e30cdd0e435d965c476c443a52a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Grace Metalious wrote which famous novel (and TV show)?\n", "labels": "peyton place", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1303541abb7a458ebccc409dcc6d07fe"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: When Gracie Fields sang the words: `...you're more than the whole world to me', to whom was she referring?\n", "labels": "sally", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-97bfa029f60b447fa95179bd254ede52"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Tennis star Steffi Graf was born in which country?\n", "labels": "germany", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bbf9fe70033b40c18a07b8bf81dd185d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Hale knew before he had been in Brighton three hours that they meant to murder him... are the opening words to which Graham Greene novel?\n", "labels": "brighton rock", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5b94fda1d07d49e9897c9ac0af5fadcc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Grand Canyon is in which US state?\n", "labels": "arizona", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-536c97ec53b84e248f2c9c4b1228be31"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Governor Ratcliffe, Nakoma and Grandmother Willow are all characters in which Disney film?\n", "labels": "pocahontas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ff75e2dfcb7246ffae9d63029f926d1b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the first feature film under its new persona by the studio formed from The Graphics Group of Lucasfilm?\n", "labels": "toy story", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-44ef75ab23724b2b872b782b7607ac6e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who co-starred with George Clooney in the 2013 movie Gravity?\n", "labels": "sandra bullock", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2355a657522b40d89e4b2802f8c3689a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which English author wrote the 1925 novel 'The Great Gatsby'?\n", "labels": "f. scott fitzgerald", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-44db9a346a084081a722a0f39cb43a02"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What U.S. state borders four Great Lakes?\n", "labels": "michigan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f86a9aecedbb494bbb2e7f7417d27289"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Great Pyramid of Giza was built for King Khufu as a what?\n", "labels": "tomb", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fb6373728bd2411c8b165e01e3624ab8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the largest island in Greece?\n", "labels": "crete", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-067958ab4d7b45cabb8702355a2c69c6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became Prime Minister of Greece last November?\n", "labels": "lucas papademos", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-124afb9ad1c749ef89d60947b86b45a7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which letter of the Greek alphabet comes between Tau and Phi?\n", "labels": "upsilon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-93534d6dacba4b25a86f3e894dea93ea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which letter comes between rho and tau in the Greek alphabet?\n", "labels": "sigma", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-45c9f102601949a9b249d716d2f3c60a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Derived from the Greek word meaning perimeter, what is the text form of the sixteenth letter of the Greek alphabet?\n", "labels": "pi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-06c3f117217545c185790173918b1734"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The capital symbol for which letter of the Greek alphabet resembles the letter P in our alphabet?\n", "labels": "rho", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3c2a9dda17a9439f9566af19b2ce9abb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the seventh letter of the Greek alphabet, and also a terrorist organization?\n", "labels": "eta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d602386d82904ec5a74ea741d17b4783"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the Greek dish of vine leaves stuffed with rice, meat and herbs?\n", "labels": "dolma", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fd0a0be4bcc6443e9f99fdff0df41252"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What creature from Greek mythology has a single eye on the center of its forehead?\n", "labels": "cyclops", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b92a70612d764b34800edae549d4278b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Greek mythology what is a nymph called who inhabits a wood or a tree?\n", "labels": "dryad", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2891bc054c624f9aaeb49b984708622b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Greek mythology, sisters Stheno, Euryale and Medusa were the three what?\n", "labels": "gorgon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9eb29b91685246d49a0290f015bbea9d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a number one in the eighties with Green Door?\n", "labels": "shakin' stevens", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b179f4c5179f4953ad354b11a6dca87d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which district of New York is Greenwich Village situated?\n", "labels": "manhattan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0fde2a76fa71462a98d74441042daaf3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Greetings from Asbury Park, NJ was the 1973 debut album of which artist?\n", "labels": "bruce springsteen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b398f61fa2c44846bab8acace3163589"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which month of the Gregorian calendar was originally the first month of the Roman calendar?\n", "labels": "march", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8ea7d1f2a4b04a25862c193b4e98bdbf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 1935 film of a Tolstoy tragedy starred Greta Garbo?\n", "labels": "anna karenina", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9a936c5889d047418650485046f52342"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Grey Cup is awarded to the champions of the Football League in which country?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-21c62cad77984971bec67ddd74327071"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays Lexie Grey in the US TV series Grey's Anatomy?\n", "labels": "chyler leigh", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-95f16de4520b4962b77c9c578a56265d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays Mark Sloan in the US TV series Grey's Anatomy?\n", "labels": "patrick dempsey", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e58274a6342740c9b5011f178193cbd4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Griffith Observatory is situated in what US City?\n", "labels": "los angeles", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-47b44c6563e1473eb1e771bda1e59af6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the narrator in the 2000 film The Grinch Who Stole Christmas?\n", "labels": "anthony hopkins", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-98c5524dde3d469c8e4977f0552db563"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country is Grossglockner (Big Bell) the highest mountain?\n", "labels": "austria", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-872f54cfb1274a0eba5aebaf0c52717e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jon Snow was killed off in what series in 2015, adapted from GRR Martin's 'A Song of Ice and Fire'?\n", "labels": "game of thrones", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bcfe03c46c5b48bab582b1730410fa30"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Gruffalo is a creation of which former children's laureate?\n", "labels": "julia donaldson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b9f770f469754e57a332473bbac812d7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the 2009 film 'The Gruffalo', who voiced the 'Gruffalo'?\n", "labels": "robbie coltrane", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c66f748345464c419bd491f08da058d0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The WW2 Guadalcanal Campaign was on which of the Pacific islands?\n", "labels": "solomon islands", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-42834281626f4d21b4a36f222d7726a1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who painted Guernica and The Old Guitarist?\n", "labels": "pablo picasso", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-17fde6d903644e6699ed637158d4a384"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Rosencrantz and Guildenstern are courtiers in which plau?\n", "labels": "hamlet", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b85c4e293d3640d79fc91431c4ac3077"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: According to Arthurian legend, Arthur's wife Guinevere, had a little on the side with which Knight of the Round Table?\n", "labels": "lancelot", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-54d9c26992664f8a8228bed16b067e7b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What note is produced at the twelfth fret of the top (highest pitched) string on a conventionally tuned guitar?\n", "labels": "e", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4f7e985750bb4ed0bb64b0f50cebd892"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the strait linking the Persian Gulf to the Gulf of Oman?\n", "labels": "strait of hormuz", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b04c889d1e014d49ad27592f7cd6d0dc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the home of the giants visited in Gulliver's Travels?\n", "labels": "brobdingnag", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-11e332daaa714a80a9eba41c2001ea55"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the land of giants in the book `Gulliver`s Travels`?\n", "labels": "brobdingnag", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e162930215a64df19c865947f87d3d93"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which English author who died in 1991 published novels such as A Gun For Sale in 1936 and The Ministry Of Fear in 1943?\n", "labels": "graham greene", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7675757377f5418b82240b9a9c2a4fbb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who created the character Gunga Din?\n", "labels": "rudyard kipling", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-14f8d6f8394548bd9e9f52991e0501e7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: January 18, 1936 saw the death of what English writer and youngest recipient of the Nobel prize in Literature, responsible for such classics as The Jungle Book, The Man Who Would Be King, Gunga Din, and If?\n", "labels": "rudyard kipling", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-278e8acf795f4fe88b75159f1997f7b6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous historic figure tried to blow up the Houses of Parliament in London in 1605 in 'The Gunpowder Plot'?\n", "labels": "guy fawkes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4c63a1c0bbf84c1bb3f4db805460fccc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who apart from 'Doc' lasted through all the 'Gunsmoke' series?\n", "labels": "matt dillon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0fb0e3f361654452b2502e88dc3c9957"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Around which war is the film `The Guns Of Navarone` set?\n", "labels": "world war ii", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dc1f5098b1794d3fbddd0636d37b3b0c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the 19th Century the Gutta Percha ball (or Guttie) was used in which sport?\n", "labels": "golf", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-47d8755f584f48489bf7e2e7e32dcf9c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Guy Berryman, Jonny Buckland and Will Champion are three members of which band formed in 1996?\n", "labels": "coldplay", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fd32ed3cb24249599f35fcf179f332e7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What plot was Guy Fawkes involved in?\n", "labels": "gunpowder plot", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3cf8ca0a54bb45c0b6e31c9ab0180e0c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Guy Lombardo and Oscar Peterson were the first inductees into which nation's newly instituted Music Hall of Fame in 1978 ?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-43e7b254a5714cc6928678dac1ead126"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Guy Montag is the protagonist in which 1953 Ray Bradbury novel?\n", "labels": "fahrenheit 451", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4f6ffd07e09f4117bc0ac65bcd400cdf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gwen Stefani had a 2005 hit with Rich Girl featuring who?\n", "labels": "eve", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b64f74cc57bb467a81559dc01359ec5c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: To whom is Gwyneth Paltrow married?\n", "labels": "chris martin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dc82639d851c499284ae750c13c1059b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gwyneth Paltrow played which American poet in a 2003 film?\n", "labels": "sylvia plath", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4485b906194e428ab3b796b1a772e05b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who when elected as MP for Hackney North and Stoke Newington in 1987 became the first black woman member of the House of Commons?\n", "labels": "diane abbott", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-62fbf767bf524263a80ed2366c6a58d9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The brother of Zeus and Hades and married to Amphitrite, which of the twelve Olympian Gods had both the horse and bull as symbols and was beleived to cause earthquakes?\n", "labels": "poseidon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c19c4d2b35ca43b18fe9b479ae1a7931"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: After the Latin name for which modern European capital is the element Hafnium named?\n", "labels": "copenhagen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-60d88b9c3c0e4e24bf2f0665427d3a5a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Haggis is a national delicacy of which country?\n", "labels": "scotland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-57cebe5705094f3291bca148034e2534"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Haile Selassie was the ruler of which country?\n", "labels": "ethiopia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f47da729adb44538b2dc4f0398301e70"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Port of Hambantota, for which construction began in January 2008 to provide bunkering, ship repair, ship building and crew change facilities, is in which country?\n", "labels": "sri lanka", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1462918be0a449f4b933b4cdf5375e6b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The works of which composer, born in Hamburg in 1833, include a series of 21 Hungarian Dances?\n", "labels": "johannes brahms", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-706c8c04a67c46e5a0d167d563af8a3e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible, who is the father of Shem, Ham and Japheth?\n", "labels": "noah", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-24b8bbbd14ca41fe8ea07ec152b04ff1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible who was the father of Ham, Shem and Japheth?\n", "labels": "noah", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d54ff513ccba419d9e6aec03d910dc27"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible, who was the third son of Noah along with Ham and Shem?\n", "labels": "japheth", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2e833cbaf36b4b73aa4f49eadb838a53"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Scottish police officer Hamish Macbeth on TV in the 1990's?\n", "labels": "robert carlyle", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5508fff9f58f48a787a480ef0f74e1b5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Shakespeare's 'Hamlet', what is the name of the King of Norway who arrives to take the throne of Denmark after the death of the Danish royal family in the final act?\n", "labels": "fortinbras", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1110d698708949a5b6f7703bb356ccc6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Haneda Airport is in which Asian country?\n", "labels": "japan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a1d1e3e60548428fa3698bfcf924b02d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 2009 film 'The Hangover' is set in which city?\n", "labels": "las vegas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2a1bc64ecacb49088f9ff57778a3fd14"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Hank Ballard and the Midnights first released what in 1960?\n", "labels": "the twist", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fc849bce7bc34917a7fad63c601c7d2e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who took the role originated by Jodie Foster in films about Hannibal Lechter?\n", "labels": "julianne moore", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-72c82db32f1e4c6e8f9a1236c450c4e6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1989, Hans-Adam II became the monarch and head of which European state?\n", "labels": "liechtenstein", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-70a306a794d84771879b9245b84a89aa"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Hans Christian Andersen fairy tale features 20 mattresses?\n", "labels": "the princess and the pea", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-327b6b29ee6b444eb2cda45812347205"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Hans Holbein the Younger was court painter to which English monarch?\n", "labels": "henry viii", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b787f7ac86694e158a4ea5eef53a5852"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who sang Happy Birthday, Mr. President?\n", "labels": "marilyn monroe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6d9e4992ec5e42989b09ce43fc95228a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: NOW, what I want is Facts. Teach these boys and girls nothing but Facts, are the opening sentences of Dickens' 'Hard Times'. Who says them?\n", "labels": "gradgrind", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0ea5b8d8ffdc4504b11a48415d224b4d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What female sleuth sometimes works with the Hardy Boys?\n", "labels": "nancy drew", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3c195958efac4b0588c849d7522d2f52"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput:  'The Harlot's Progress' is a series of paintings and engravings by which 18th Century English painter?\n", "labels": "william hogarth", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5043d3cdcdc04f6b951594584d3c0340"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who made two series of engravings based on two series of his paintings, called A Rake's Progress and A Harlot's Progress?\n", "labels": "william hogarth", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8859a7ac87fd446eb67199f1608343f3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which Yorkshire town are the Royal Horticultural Society's Harlow Carr gardens?\n", "labels": "harrogate", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ce9097c8f6b245e48eab40aac50d997e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British writer married Harold Pinter in 1980?\n", "labels": "antonia fraser", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1bdf741289504665a0f25a3c2b36d663"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Harrison Ford was working as what before his first big break as a film actor?\n", "labels": "carpentry", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f598a8bd997b40f385693145371c5532"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the founder of Harrow Public School?\n", "labels": "john lyon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d039ddaa26db43a4aa3c76c88f19b343"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which novel introduced the bully Harry Flashman?\n", "labels": "tom brown's school days", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d6a2fe8ebe0241648b935af651b46c90"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous writer, who used the line `God for Harry, England and St. George!` in one of his works, was said to have been born and died on St George`s Day?\n", "labels": "william shakespeare", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2c749702329249afb78dd019ef66988c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country was escapologist Harry Houdini born?\n", "labels": "hungary", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8591107e4e1b41b68f4517726ff1540c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Sally opposite Billy Crystal in the 1989 film, When Harry Met Sally?\n", "labels": "meg ryan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-622cfcc02c4e4ebe924d7f524caf6f2e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What school does Harry Potter attend?\n", "labels": "hogwarts", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fbbb08f855554f0897a853e900c8a91c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Harry Potter books, what is the name of the character described as a slim, blond haired pale boy who is arrogant about his skill at Quidditch  He was played by actor Tom Felton in all the Harry Potter films.?\n", "labels": "draco malfoy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-02d7693707ab4fe89133e2c6787e40f7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the thoroughfare that Harry Potter lived with his Uncle's family?\n", "labels": "places in harry potter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4429379d77048c889fe244d5ffa3309"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name ofthe seventh and final 'Harry Potter' book due out in July 2007?\n", "labels": "harry potter and the deathly hallows", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-48d307b327d44753a2dd5488049e8bac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What boy band is Harry Styles a member of?\n", "labels": "one direction", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-67a6c3b2865543b9bfa26c1d0619a5c7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which US state is Harvard University?\n", "labels": "massachusetts", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e3e8cb282d644a55b30f1e47d47d33ff"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British TV series starring John Simm as DCI Sam Tyler and Philip Glenister as DCI Gene Hunt was remade in the USA starring Jason O'Mara and Harvey Keitel?\n", "labels": "life on mars", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ec8b1b609ebc463dbcc97443f3bc8277"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lee Harvey Oswald shot John F Kennedy, but who shot him?\n", "labels": "jack ruby", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3cd09cdae31447ef9b75548cd6c56281"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country is known as The Hashemite Kingdom?\n", "labels": "jordan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9b55cae307b749f5a6f38ac5dfcab3e5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Formed in the 1980s and having the leader Hassan Nasrallah, which radical Shi-ite Muslim organisation in Lebanon has, for years, been involved in guerilla warfare against Israel?\n", "labels": "hezbollah", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-783e27fe3875484ab096723035bb0458"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote/directed the movies The Hateful Eight and Inglourious Basterds?\n", "labels": "quentin tarantino", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-403f9d93e4d2442da979340294f10ca3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which former 'Have I Got News For You' presenter made an occassional appearance as Patrick in 'One Foot In The Grave'?\n", "labels": "angus deayton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3cad50efbeb94cb299e94514f66144d9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had hits in the 1950s with Star Dust and Have Mercy Baby?\n", "labels": "the dominoes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2232e6df201d4998be7e1b2474af0757"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The song Have yourself a merry little Christmas comes from which musical?\n", "labels": "meet me in st. louis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5ce172e7dcb04e2b8ea8c049a5b0983c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital city of Hawaii?\n", "labels": "honolulu", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1d87ef8bda354de2b3d729868f2010bb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Known as The Hawkeye State, what was the 29th state to join the Union on December 28, 1848?\n", "labels": "iowa", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c08a22f3a173496884fd9f22ea11efa9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which veteran rock singer released the album The Healing Game in 1997?\n", "labels": "van morrison", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b72bb65357e84b698431979b5313dd29"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a 50s No 1 with Heartaches By The Number?\n", "labels": "guy mitchell", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-63ba7c3a01dc45dabf59a734cbbaa9ae"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote Heart of Darkness?\n", "labels": "joseph conrad", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2a411d1b48004970b0615e32fab119de"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which professional boxer from the USA, a multiple world champion in both the cruiserweight and heavyweight divisions between 1986 and 2001, was nicknamed The Real Deal?\n", "labels": "evander holyfield", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e6e5a52779394893bfc025b2a054d33c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which composer wrote the Hebrides Overture?\n", "labels": "felix mendelssohn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2fe4b16103e9416da69df10dd4fb40d6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of Hector Berlioz's operas is based on Much Ado About Nothing?\n", "labels": "beatrice et benedict", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6586afe59696498c868a61c092262a80"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Greek myth, who was the husband of Hecuba and father of fifty children?\n", "labels": "priam", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4750fef6bf8045a18c85a32fe0820af2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the 19th Century play 'Hedda Gabler'?\n", "labels": "henrik ibsen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-da5f223b98594075a85121081a194b57"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What country does Heineken beer come from?\n", "labels": "netherlands", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3d32d0fda5ae40ee872e382db9d1532e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which planet in our solar system was discovered by Johann Galle and Heinrich D'Arrest in 1846?\n", "labels": "neptune", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-27338d1aef764c8ab5c9b0f986bc0d12"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Helen Clark became the first woman Prime Minister of which country in 1999?\n", "labels": "new zealand", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4bb7d9e8ab08431ead6864cbf7c2bca3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Helleborus niger is the scientific name for what evergreen flowering plant?\n", "labels": "christmas rose", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-058e316ea5da4eb1872a0562f717c594"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote and sang the novelty hit Hello Muddah, Hello Fadduh, about Camp Granada?\n", "labels": "allan sherman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ba1ef1c1cb7c41a38205636431561fc3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The song 'Hello Young Lovers', comes from which musical?\n", "labels": "the king and i", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b78c11b47b1644e19078de48d561b8a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which North Amercan city is there a neighbourhood known as Hell`s Kitchen?\n", "labels": "new york", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3aeea2dfd1fa47caa2c3f6cb1dbd2a51"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Helvetia is the female personification of which country, appearing on its coins and stamps, etc?\n", "labels": "switzerland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f255f08ac92b41ee812695ab0abd2c38"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Ramshaw Rocks and Hen Cloud are in which National Park?\n", "labels": "peak district", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-47a094859ca04989a9a5d860af7a4c15"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Henry Cooper is associated with which sport?\n", "labels": "boxing", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1bbcc2ad281a455b8425afce86ed7eae"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which royal house consisted of Henry IV, Henry V and Henry VI?\n", "labels": "house of lancaster", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2d310f6c1c844fb583cd83a4f9c8c0af"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the book written in 1982 by Michael Baigent, Richard Leigh and Henry Lincoln that according to its authors in a court case inspired Dan Brown to write The Da Vinci Code?\n", "labels": "the holy blood and the holy grail", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1221adc7e1a34a4aacc946c495297744"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1516 English King Henry VIII created the position 'Master of the Posts' which effectively founded/regulated the?\n", "labels": "royal mail", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9fd2ee78f74a499481ccb02360a33700"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the second wife of Henry VIII?\n", "labels": "anne boleyn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5b20cf90e08247a1bc61d3deb438ed1a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which band had a 2004 hit with Here Without You?\n", "labels": "3 doors down", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a081bffc90ef4d65a000dc329ef72ce2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who originally fronted Herman's Hermits?\n", "labels": "peter noone", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a73ffcb0d48c4e848b9a72701180d32e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: If I sail on the Neva river past the Hermitage Museum, what city am I in?\n", "labels": "saint petersburg", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e44030644e4449ca9f3f9c22c7449816"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Herse and Kale are moons of which planet?\n", "labels": "jupiter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f17d90b66d954340a604fc70519f163c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The towns of Milton Keynes and High Wycombe are in which English county?\n", "labels": "buckinghamshire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-82016d9dfd6e44a7a1b2195dbaae599c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: HI is the abbreviation of which US state?\n", "labels": "hawaii", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-911b6857e7724e02be65bda9c2b89ffd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the title of Hilary Mantel's book that won her a second Man Booker Prize?\n", "labels": "bring up the bodies", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-59d699d077b146d48fbecddb826a6272"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: jhe BBC2 production of Wolf Hal! was based on the novels by Hilary Mantel - one was Wolf Hall, name the other.?\n", "labels": "bring up the bodies", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1442c5d3f7c243a5adaa35b85a221c29"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In Hinduism what name is given to the festival of Colour or Colours?\n", "labels": "holi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ae7cb8243d22427ab633d0c7bebee234"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the Hindu Kush?\n", "labels": "mountain range", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4fb2869ea05e425ead5bdff44fee6ee3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the most notable invention of Hippolyte Mege-Mouries?\n", "labels": "margarine", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7cac1b066aa74c5ba029bf0913815929"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country was the inventor of the machine gun Hiram Maxim born?\n", "labels": "united states", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6f99e7332fed4c11be373e4d0761fef4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the play, later a film, The History Boys?\n", "labels": "alan bennett", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-926c085e69e74af6ad645127022f4bbd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In what Hitchcock film does he NOT appear?\n", "labels": "lifeboat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-71fc9f0fd320422a9d720f455669718d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In The Hitchhikers Guide To The Galaxy, what was the name of the best drink in existence?\n", "labels": "zaphod beeblebrox", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-001b623b1e3b4b5a973e2b597f4f71db"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which area of the city is H.M. Prison Birmingham?\n", "labels": "winson green", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f70c13b294fe4312b90740c7b49dd868"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the Hobbit who carries the ring to Mordor to be destroyed?\n", "labels": "frodo baggins", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-90ea54a905074706a2898e5d03234e80"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which nation boasts the world's longest running TV sports show, Hockey Night, first aired 1952?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-31007fb4acc94441b26456f4ac89936d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which UK TV series based around the fictional Holby City Hospital, focuses on the staff and patients of the hospital's Accident and Emergency Department?\n", "labels": "casualty", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a0037c2b205b47e9a736b7e3800f6628"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Holland Lop, Flemish Giant and New Zealand White are breeds of which animal?\n", "labels": "rabbit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-45545736b33747fe9c2bc2b1af3c1e7d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which pop group's last UK number 1 single was entitled 'Holler'?\n", "labels": "spice girls", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7249c41104c24a6b91fd8d486fa7590f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which American state is Hollywood?\n", "labels": "california", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5ab643f815de496faea4758e28d1a922"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American owned a yacht called 'Honey Fitz'?\n", "labels": "john f. kennedy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8540479c6de44ecfa88d5b195634139f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What type of collectible, featuring Honus Wagner, was sold for $2.8 million in 2007?\n", "labels": "baseball card", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-211f0e2644b14fc4a7b8217caa510e15"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the film Hook who played Hook?\n", "labels": "dustin hoffman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c23f7acc257c41afa88586f92bdd09e4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which band released the single `Hooligan` in 1999?\n", "labels": "embrace", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-084612e5a9194873b894ee622161695e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which state of the USA is known as the Hoosier state?\n", "labels": "indiana", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ccddbce6a6d448729d2f8eba75feffe1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: English architect Sir Horace Jones designed which London bridge?\n", "labels": "tower bridge", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eabc1460c33647a5b6fbdfa56c638b72"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the title role in the 1951 film 'Captain Horatio Hornblower RN'?\n", "labels": "gregory peck", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1a9885bcc77f42f180577ecf829880ee"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which group recorded the 1969 hit album Hot Buttered Soul?\n", "labels": "isaac hayes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dd390515ce3b46a0beef8efe774236cd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who succeeded Ossie Ardiles as Tottenham Hotspur manager?\n", "labels": "gerry francis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-423068734b7347acb552c6ae20921247"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the 1955 play 'Cat on a Hot Tin Roof' ?\n", "labels": "tennessee williams", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cb53dccdc7d24d84aae102b9da309d23"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the novel 'The Hound of the Baskervilles?\n", "labels": "sir arthur conan doyle", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e4bede6a448345c49bbde8b500db1ec8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The House of Bernadotte is the Royal House of which country?\n", "labels": "sweden", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-20344e0b33c445dea7fb0ac6355cfb58"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Royal House of Chakri has (at 2011) ruled which country since 1782?\n", "labels": "thailand", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8424bed25982403a93b87d6632169980"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Elected on September 4th 2012, who is the current Leader of the House Of Commons ?\n", "labels": "andrew lansley", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3becbff67a3344bebf4ee903d5bb0e0a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Houses of the Holy' in 1973 was the fifth album released by which band, the first three contained the name of the band and the fourth was untitled?\n", "labels": "led zeppelin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fc8afd0aa95b48e5b6537c14d99830f6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With which sport would you associate with the Toronto Raptors and the Houston Rockets?\n", "labels": "basketball", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-85d738ada4234f20ba00ca461eff5d2e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of these was a 1948 Western starring John Wayne and directed by Howard Hawks Red River, Yellow River or Moon River?\n", "labels": "red river", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4e6ac5cadf3b49149c58e0d260e5ab5c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which television chef published the 2008 book 'How To Cheat at Cooking'?\n", "labels": "delia smith", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0d561f7fde0948abb71abee55f28e175"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the US writer and lecturer who wrote 'How to Win Friends and Influence People'?\n", "labels": "dale carnegie", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c5cbd496e7614638a525b02556d9a155"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What do the initials represent in the name of the HSBC bank?\n", "labels": "the hongkong and shanghai banking corporation", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-951e163efa894df9b2b977ddad163012"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 20th century French writer and philosopher wrote the plays Huis Clos, Les Mouches and Les Mains Sales and the novels La Nause and Chemins de la Libert?\n", "labels": "jean-paul sartre", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-378fc5a72c644b0cba74606c36a5c498"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mr. Fantastic, the Invisible Woman, the Human Torch and the Thing are members of which fictional group?\n", "labels": "fantastic four", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c6ab7a81cd1e4516bf1956e9a267847c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of Humphrey Bogart's character in the film 'Casablanca'?\n", "labels": "rick blaine", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cf95438b9b1d4bd1aaea6128c401802f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country is the film The Hunchback of Notre Dame set?\n", "labels": "france", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a975a8b3b5ad416da018f8be40c47252"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which classical composer wrote the Hungarian Rhapsody?\n", "labels": "franz liszt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-51310ec331274539bec67c2fb8866a4d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of Hungary?\n", "labels": "budapest", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9874eaa69dfa4099a5009aebbd434e04"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which author wrote the Hunger Games series of novels?\n", "labels": "suzanne collins", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-64dfc1fd7d0f4a9f94e93c78955feed7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the poem The Hunting Of The Snark?\n", "labels": "lewis carroll", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bf0689ce35344df2be68d2437d95b19a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who directed the film The Hurt Locker, winner of the Oscar for Best Director in 2010?\n", "labels": "kathryn bigelow", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0807fd6302e74e3c8d3c5b5af6a677b7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What kind of creature is Iago in Aladdin?\n", "labels": "parrot", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fa4b25d34d864501800d80f593ef25a4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays 'Ian Fletcher' 'Head of Deliverance of the Olympic Deliverance Commission' in the BBC TV comedy 'Twenty Twelve'?\n", "labels": "hugh bonneville", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-db030392641e4d6f9d6cb16d60cba07f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which band had top ten hits in the 1990s with `No Son Of Mine` and `I Can`t Dance`?\n", "labels": "genesis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9cb5b88df390478ea351a267730ba67f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Iceman in the movie Top Gun?\n", "labels": "val kilmer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fbe9ba7a85a548cfab51f92e161a0c5a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Johnny Depp plays policeman Ichabod Crane in which 1999 film?\n", "labels": "sleepy hollow", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-764922b62dfb4ff8b29484f84d760888"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the state capital of Idaho?\n", "labels": "boise, idaho", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-688d45b390264f88af2bed4412395564"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who directed and starred in 2011 film The Ides of March?\n", "labels": "george clooney", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-22c0d8c73b944154b7ee00a3a7153237"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Where did Idi Amin rule from 1971 -1979?\n", "labels": "uganda", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-92a22d357239454ea821b80887acebb5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had hit singles in the 80s called `She Makes My Day` and `I Didn`t Mean To Turn You On`?\n", "labels": "robert palmer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e3de581f636b4dcabe69fd94dabdde57"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who on television is the 'Idiot Abroad'?\n", "labels": "karl pilkington", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c02cf1f1d4fe4e7e9f62ca93788a3507"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who presents the TV travel series `An Idiot Abroad'?\n", "labels": "karl pilkington", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e45cdb40b5c74a53bf1f9f3695657106"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which band had a 1998 hit with I Don't Wanna Miss a Thing?\n", "labels": "aerosmith", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-42676a542c6e410fa870710d8a59f785"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Idylls of the King is a collection of Arthurian-based poems by which poet laureate?\n", "labels": "alfred, lord tennyson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b2079d109acd4944ac27e9409f0921c0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who took If You Had My Love to No.1 on the Billboard charts for 5 weeks in 1999?\n", "labels": "jennifer lopez", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3ad74e87d67f4d53a84751d2bf7ac7bc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The album If You Wait reached number two last year for which band Their name sounds like it could be the name of a school in the capital.?\n", "labels": "london grammar", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e34af46a59754cd88a8fb7622d4b7346"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Igor Sikorsky developed which means of transport?\n", "labels": "helicopter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-315b3bcf441d414493bc95d8484e0cb2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 1992 romantic-thriller that had two Oscar nominated songs in I Have Nothing and Run to You has spawned the best-selling movie soundtrack of all time?\n", "labels": "the bodyguard", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-267b2fa6f85943e2b566faa4a345531d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Iliad and The Odyssey are epic poems by which ancient Greek?\n", "labels": "homer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e5a377dbee32412cb44c08cf21896571"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What TV show had the theme song I'll be there for you?\n", "labels": "friends", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f25756aa60524599919b5406f1bb9060"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: An imam is from which religion?\n", "labels": "islam", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d14755ae7dec42e0a52a758490a77875"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which female singer had a 1990 hit album called `The Immaculate Collection`?\n", "labels": "madonna", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-46f5e63f22fd4002a5552499b9e8e959"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a number 1 hit in 1975 with 'I'm Not In Love'?\n", "labels": "10cc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-077af233dd214e12907cf752f49f08e4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous singer songwriter was the inspiration for the 2007 movie I'm Not There?\n", "labels": "bob dylan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b3c30ee8666446ac9120bf7fc43c5605"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the subject of the film I'm Not There, and did not appear in it?\n", "labels": "bob dylan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a2e75c6629434c2db223fb0a1e8a143e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous US architect designed the Imperial Hotel in Tokyo in 1916?\n", "labels": "frank lloyd wright", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f3a73aeba0c342eea90a77928ce16d39"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'The Importance of Being Earnest' was written by whom?\n", "labels": "oscar wilde", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-598121b63f8c4d85abc20c52833f688b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a 1985 UK hit with I'm Your Man?\n", "labels": "wham!", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5a2e3f6353df46eca65b957f1a4f213e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the capital of the Inca Empire from 1438 to 1532 which, at its peak, dominated a territory that included (from north to south) Ecuador, part of Colombia, the northern half of Chile, and the north-west part of Argentina, and (from west to east) from Bolivia to the Amazonian forests and Peru?\n", "labels": "cusco", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-40240d6115ee428e9f862bb38cca30bb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who spent 9 weeks at No.1 in 2003 with In Da Club?\n", "labels": "50 cent", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9e0eca6d13ac4f13ab4e100a4fc0cd90"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: India's national anthem is written in what language that is also the national language of one of its neighbors?\n", "labels": "bengali", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d12cc3c27de9492a98abe9609d7c8014"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the most popular spectator sport in India?\n", "labels": "cricket", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-47bf022a440546f1aeef8911538f1325"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of the following film directors once owned a dog called Indiana Steven Spielberg, George Lucas or Richard Attenborough?\n", "labels": "george lucas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-91a8c8c201764c89a949b3e7611c7e43"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Raiders of the Lost Ark, Indiana Jones and the Temple of Doom, and Indiana Jones and the Last Crusade was followed up by what 2008 blockbuster?\n", "labels": "indiana jones and the kingdom of the crystal skull", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f8dfd23384444badb02287b09b957069"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What sport is played by the Indiana Pacers?\n", "labels": "basketball", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2a787656e839474c8b5bb74c7081c56d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which island is divided among Brunei, Malaysia and Indonesia?\n", "labels": "borneo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e4672b46f2f944e89ff83a15fba1ef41"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the book In His Own Write, published in March 1964, and the follow up, A Spaniard in the Works, published in June 1965?\n", "labels": "john lennon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1bc1bafb31d141bead6ef5d75e41e46f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who hosts the UK lottery show 'In It To Win It'?\n", "labels": "dale winton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3c0d4803c2204fc1a35bfb1ab0876d2d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the largest island in the Inner Hebrides?\n", "labels": "skye", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1da149d51e70445c8d8dbf3f126fa6c9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of the missionary who is the subject of the 1958 film 'Inn of the Sixth Happiness'?\n", "labels": "gladys aylward", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-08a485615cd14cebbf15687df6643acb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which US state is the Innoko River?\n", "labels": "alaska", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1f79c40ac8184b66bbc6236a99a001d6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which group had No. 1 albums with OK, Computer in 1997 and In Rainbows in 2007?\n", "labels": "radiohead", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-25ad94423f644ef7946bed5751ddc5df"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whose 33rd album was called In Search of the Fourth Chord?\n", "labels": "status quo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8fc1c4a1ce8d4f22971ca7b4e628a047"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British dramatist wrote the 1945 play 'An Inspector Calls'?\n", "labels": "j. b. priestley", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a7bc0e1b22bf464b99e5b698dc0df181"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the first novel in the Inspector Morse series of novels, published in 1975?\n", "labels": "last bus to woodstock", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fd02b94551cc4470bc22649760d81f79"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country would you find the Interlagos motor racing circuit?\n", "labels": "brazil", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-17116c891ecb4c9ebd3ab3f6f8b0ba2b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who featured on the 2012 Pitbull hit International Love?\n", "labels": "chris brown", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bc125dbac91543e4babbff4e329689a2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the 1976 novel `Interview With The Vampire`?\n", "labels": "anne rice", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6093f73e3f3641148b27676ba4823c43"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the books In the Night Kitchen, Outside Over There & Seven Little Monsters?\n", "labels": "maurice sendak", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2b133831c7f84546aa0ac0b17ad65d12"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country is the city Invercargill?\n", "labels": "new zealand", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-68f54c4854ee4be5b14856e922e5f80e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Born with the first name of George, what English author, who is one of the claimed Fathers of Science Fiction, wrote The Time Machine, and The Invisible Man, among many other works?\n", "labels": "h. g. wells", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-62885a3c699f45bcb1eea0ae3235f11d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the much filmed novel The Invisible Man?\n", "labels": "h. g. wells", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2bb41db39df342bab0d19aed27d547a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Noel Coward gave what director his start on In Which we Serve?\n", "labels": "david lean", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f8d7e534190f49d48f412bc4f27c1cea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Ionian islands are nearest what country?\n", "labels": "greece", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-32b2701caee14560b0fdbb61c8c9f86a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the second largest of the Ionian Islands?\n", "labels": "corfu", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ea7304dcf864494bb1bf5cfcd299e4ae"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the largest of Greece's Ionian Islands?\n", "labels": "cephalonia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4127658c528f4082a261961547fa0c52"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city of South America would you find the neighbourhood of Ipanema?\n", "labels": "rio de janeiro", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-405be4968d9d416780dd28a4c94f7f87"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Ipcress File, published in 1962 was the very first novel for which British Author ?\n", "labels": "len deighton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f647be9dfa8d48cd97e4d510cc595936"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Iraq lies between Syria to the west and what country to the east?\n", "labels": "iran", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2cbb66ffa82c4264bf932afb53393d11"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The volcano Irazu is in which Central American country?\n", "labels": "costa rica", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8c46973e5981457a8eb8248b3028a6c9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What sea lies directly south of the Irish Sea, bounded by England, Wales, Ireland and Brittany?\n", "labels": "celtic sea", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9218abd8d5954994967b706f7c59c55f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Irish is one of the official languages of the Republic of Ireland. What is the other?\n", "labels": "english", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2321a716ffa3478e80225a49cbf930c4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who succeeded Brian Cowen as the Prime Minister of the Irish Republic in 2011?\n", "labels": "enda kenny", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ae5117dd660f4d6eb81f3f43b01fa2b7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who did Meryl Streep portray in the movie The Iron Lady?\n", "labels": "margaret thatcher", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-99b7e76fd97f4d6c8a5496cd2141d154"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Iron Maiden song reached number 3 in 1988?\n", "labels": "can i play with madness", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ffc8361fd9b44af6badb2673f6f2222e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: According to the Bible, who was the son of Isaac and Rebeckah, the twin brother to Esau, the husband of Leah and Rachel, and the father of Joseph?\n", "labels": "jacob", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-49a5ace7aa1848d1bd3351bc4151247d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is actress Isabella Rossellini`s famous mother?\n", "labels": "ingrid bergman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ba63252ff73846d3abc5a2baf7ae6fa2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which American state is the Isabella Stewart Gardner Museum?\n", "labels": "massachusetts", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4630d991118d4b50a920ab45631e8abf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Isfahan is a major city in which country?\n", "labels": "iran", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7d119eb6b1fc4aafb637902368de9972"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is Israel's southernmost city, located on the Red Sea?\n", "labels": "eilat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0dcaa23367f440ebbb7684acab471710"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of these is the real name of an airport in Israel?\n", "labels": "elat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fb0fef0f07454300908c332901553dac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became Israel's head of state in 1993?\n", "labels": "ezer weizman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ca5b3a59747e427fa639ae906c813d85"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was Israel's Prime Minister at the time of the Yom Kippur War of 1973?\n", "labels": "golda meir", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ea3a97eb94ea403481cd97214c7b9daf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible, who was the first King of Israel?\n", "labels": "saul", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2c48fa3356b84da1b79ef1fe6bd42f00"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What dish would you expect if you asked for Fettuccine in an Italian restaurant?\n", "labels": "pasta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d8f9c152da10479eb64179e8149d9fa9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the mountain range that runs for 870 miles for the full length of Italy?\n", "labels": "apennine mountains", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-11681a2147cf4cbdbcc56d50c11dded4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which city was the capital of Italy from 1865 to 1871?\n", "labels": "florence", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7106a5b439f7430b87db3b991ea29368"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Spice Girl had a number one single with `I Turn To You`?\n", "labels": "melanie c", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8c3e8cfb04604bb2a87e69c5223beb6c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British singer released an 1998 album entitled 'I've Been Expecting You'?\n", "labels": "robbie williams", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8567026c8c274c05a47cbe03c3a25334"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who presents I've Never Seen Star Wars on BBC Radio 4?\n", "labels": "marcus brigstocke", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-052a818fe15141ec86dc7549bff8c032"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a smash hit in the 1950s with I Walk the Line?\n", "labels": "johnny cash", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a8c9fb07f8cc40f7afd3d552fe5ae574"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The song, I Whistle A Happy Tune, comes from which stage and film musical?\n", "labels": "the king and i", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d2c4a4c7f87e4eee80ef69fc1f2bfaa7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the nonsense poem Jabberwocky?\n", "labels": "lewis carroll", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0a4a6f24b7064193ac495265dadb3052"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which series does Kiefer Sutherland play CTU agent Jack Bauer?\n", "labels": "24", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-79c5a36836064f8598bf48c6bc658b72"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jack Bauer is the main character in which TV series?\n", "labels": "24", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0ed0a554c8724c92a0b8db3ebeb61457"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Jack Duckworth in Coronation Street?\n", "labels": "bill tarmey", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-56b24890b86447178a7a11df0236aed5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who directed the 1997 film 'Jackie Brown'?\n", "labels": "quentin tarantino", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-60b5f65aaeba4babaeab89f5b357aa15"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which member is missing from the following list of the group The Jackson Five - Michael, Marlin, Jackie and Jermain?\n", "labels": "tito", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7be2e7dc60b74a6b915b01913a475a05"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Little Jackie Paper was the human friend of which famous fictional character?\n", "labels": "puff the magic dragon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-061b6cdd80454ae88773f4c280d8fc81"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who composed Jack in the Box (in ballet)?\n", "labels": "erik satie", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d81aab12c9f14edb8866ee78735dfd3d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Originally starring Jack Lord, and recently remade, what TV show popularized the phrase Book 'em, Danno?\n", "labels": "hawaii five-o", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0f18e5aba1534deb910ae7433a0989ac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the title role of Jack Reacher in the 2012 film of Lee Child's novel 'One Shot?\n", "labels": "tom cruise", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3e110f24b9bf42dcb978b34d3f0a1eae"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which author created the CIA agent Jack Ryan?\n", "labels": "tom clancy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-52efb4916bb94df8ae7a5f6a83f07bfd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Harrison Ford played CIA agent Jack Ryan - who else has?\n", "labels": "alec baldwin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-199d9861b6d345a7817d9882786b8ec2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What name was given to the type of art particularly associated with Jackson Pollock?\n", "labels": "abstract expressionism", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-391de30e36e14951b7782d76cb730e4b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who portrays the fictional character Captain Jack Sparrow on film?\n", "labels": "johnny depp", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4c08fed341fc4e3eab6487dcee8231ad"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: According to the Bible, which of Jacob's sons was sold into slavery by his jealous brothers?\n", "labels": "joseph", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-db4f0f8110da41c9982a9c9a18c0b1ca"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jacqueline de Pre was famous for her playing of which stringed instrument?\n", "labels": "cello", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-09dcb1e2ed764344b964682986126521"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1786, Jacques Balmat and Michel-Gabriel Paccard became the first climbers to reach the summit of which European mountain?\n", "labels": "mont blanc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-68682fc1dabb48118bf23e9c0d563d98"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city does the Jacques Cartier Bridge span the St. Lawrence River?\n", "labels": "montreal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-343e5eac14e044bcb2a789db5d1af92c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which Charles Dickens novel do we meet the minor characters: Startop, Mr. Jaggers and Wemmick?\n", "labels": "great expectations", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c7286b77c1524fde9650df53d55acd15"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who founded the Jaguar motor company?\n", "labels": "william lyons", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6daecdae6280474683b43f47add2dd07"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which film did Robert De Niro play boxer Jake La Motta?\n", "labels": "raging bull", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e4265e8a9f99446ea3a1b0e65fc25c0e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What film concerns the life story of 18 year old Jamal Malik, a former street child from the Juhu slums in Mumbai?\n", "labels": "slumdog millionaire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-30879410e8d744d4912c68aab91cf521"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the children's story 'James and the Giant Peach'?\n", "labels": "roald dahl", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-404c87cc4da449f396304b589a6f0333"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: James Arthur was the winner of which TV reality programme in December 2012?\n", "labels": "the x factor", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eb327e9376b14acfa7327436fba6cc6a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Scaramanga's servant Nick Nack is a character in which James Bond film?\n", "labels": "the man with the golden gun", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e64d062e413942c2bda0222013e5d6d1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the most recent actor, up to 2015, to play the part of James Bond in films?\n", "labels": "daniel craig", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-06a6dc218b8f418189b68fe5df3a0669"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of the seven actors who have played James Bond once polished coffins for a job?\n", "labels": "sean connery", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5a6a0b30788e467d8269ff6b69a53d3e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The paradise `Shangri La' was created by James Hilton in which book?\n", "labels": "lost horizon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0e5c7f726d394191900911bedcc7099f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which film was based on a James Jones novel set in Honolulu prior to the attack on Pearl Harbour?\n", "labels": "from here to eternity", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-78e25c1ac2a24958881ffc6b319ed5a2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Thomas Jefferson Building, The John Adams Building and The James Madison Memorial Building in Washington DC together make up what seminal institution?\n", "labels": "library of congress", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-764317e353de4f84ac80b636d5d21ee1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: James Steerforth and Wilkins Macawber are characters from which book by Charles Dickens?\n", "labels": "david copperfield", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5cb90f57807547aca235b58774e815e4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Alex Turner, Jamie Cook, Matt Helders and Nick OMalley are collectively known as what?\n", "labels": "arctic monkeys", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-97c97509afa042e59e6bce400055c33b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jana Gana Mana is, since 1950, the national anthem of?\n", "labels": "india", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2c48f949bc364f7ca8ea95ee521a3b08"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which artist has a daughter and two sons with Jane Asher, whom he married in 1981?\n", "labels": "gerald scarfe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4259c66c02e4c4ea37d2d7790047ae3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Janet Jackson had a starring role in which TV series?\n", "labels": "fame", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1df56938031a4111af9b6179a7d82099"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Nancy Davis and Jane Wyman were the wives of which late actor?\n", "labels": "ronald reagan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a6d1f42168664f39a3e1a4060c2e1e31"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Janus is a moon of which planet?\n", "labels": "saturn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3dd49041c4844c76a11676b85b6d754d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which four letter beginning with F is a puffer fish eaten as a Japanese delicacy, after highly poisonous parts have been removed by an authorised chef?\n", "labels": "fugu", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9224d969e7884e04a1bc8edd2123b4de"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What South Honshu city in Japan, associated with international climate change agreement, was its nation's capital 794-1192?\n", "labels": "kyoto", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-015ec8f94bd84f4faba57219a484a602"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the largest port city in Japan?\n", "labels": "yokohama", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a435574932314deab23b70170d3b2c42"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Iapetus (or Japetus) is a satellite of which planet?\n", "labels": "saturn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4ca711ce57748858fc57cc9d586d681"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jarlsberg cheese comes from which country?\n", "labels": "norway", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f40604dd1eac4a4a96a02a675f39f8d6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: From what country does the cheese Jarlsberg originate?\n", "labels": "norway", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0044f38e70c84d57a7c4b7e43d5a2926"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the title of the first novel by Robert Ludlum featuring 'Jason Bourne'?\n", "labels": "the bourne identity", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-09c7e00e805c40a8a1f88be4abb4ab5d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jay McGuiness who won Strictly Come Dancing in 2015 was a member of which Pop Group that took a hiatus in 2014?\n", "labels": "wanted", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e127d1f6fcab409989f7dffdd69c2738"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the 1950's and 60's, which jazz pianist wrote the pieces, Misterioso, Ruby My Dear and Round Midnight?\n", "labels": "thelonious monk", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d3927ec73344492fa5aa20b6f66ed08d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Of which African mountain range is Jbel Toubkal the highest peak?\n", "labels": "atlas mountains", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c5ec36a59d0048a9a6a57556dbdff755"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was J. D. Salinger's most famous novel?\n", "labels": "the catcher in the rye", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d0992a0427aa4c8b8480b8c0d19f8d09"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actress played Jean Hope in the UK television series 'Emmerdale' in 2006?\n", "labels": "susan penhaligon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f34f6afd7d9947278026d742736dbcef"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jeanne-Antoinette Poisson, the official mistress of Louis XV of France from 1745 to 1750, lent her titled name to what hairstyle?\n", "labels": "pompadour", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a60af980991d4e4aa8cccc34fb167213"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jean Nidetch who died on 29th April 2015 was the founder of which organisation?\n", "labels": "weight watchers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e148ac56ca854c7a8e541ac333d96c76"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What character was played first by John Wayne in a 1969 film, and by Jeff Bridges in a 2010 remake?\n", "labels": "rooster cogburn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-41f3c396451a4823ab610bf3207e3ee6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the race horse and the title of a 2003 film starring Jeff Bridges as the owner, and Toby Maguire as the jockey?\n", "labels": "seabiscuit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0f0e15e3a1274607a0dff17f2ac7c66b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What operating system has versions called Ice Cream Sandwich, Jelly Bean, and Lollipop?\n", "labels": "android", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3c0230c48ee64f1b819adf1ac17a5bf3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Pakistani cricketer married the English socialite Jemima Goldsmith in 1995?\n", "labels": "imran khan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1881480f8ed14fbfae7eeef6cf1986a4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: After appearing in Ferris Bueller's Day Off, Jennifer Grey starred opposite Patrick Swayze as Frances Baby Houseman in what 1987 film?\n", "labels": "dirty dancing", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-71d9133c874f482a82d13eec8f501940"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In February 2013 Jennifer Lawrence won an Oscar for her role in which film?\n", "labels": "the silver linings playbook", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bfe15d6316a948638e7b7fdf0b34b4fe"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which 18th century ballad opera do the characters MacHeath, Jenny Diver and Sukey Tawdrey appear?\n", "labels": "the beggar's opera", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9c8409cc2c474cbab7f4ec457e0f039c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who sang Don't be fooled by the rocks that I got / I'm still Jenny from the block?\n", "labels": "jennifer lopez", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-44242520b4744f1bb65e6e63bd620708"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Choreographer Jerome Robbins worked with Leonard Bernstein on which 1957 film?\n", "labels": "west side story", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c5258f40fd304473906586a76fdd50db"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the 1950s, what was Jersey Joe Walcott known for?\n", "labels": "boxing", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e85432dc9a8d474f81d689161802b0e0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the 1804 poem 'Jerusalem'?\n", "labels": "william blake", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d69edec5119c4058b8da80d2b4d59623"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the words to Jerusalem?\n", "labels": "william blake", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7e94a7edafb74f58ad7f856eb986e5d5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city were Jessica Ennis and Naseem Hamed born?\n", "labels": "sheffield", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-54ec2f059e154678a03936a2a3575c8f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Christ in the 1977 TV drama Jesus of Nazareth?\n", "labels": "robert powell", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d146289f47ba4e879bd44ac9352ac8e5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jethou, Henn and Lithou are part of which island group?\n", "labels": "channel islands", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bcc46fec7ad443e48c71c436a79c4bcf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who presented the National Lottery quiz show Jet Set?\n", "labels": "eamonn holmes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-46830ccc9dfb458d8359fa36de235012"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What jewelry store uses boxes that are robin egg blue?\n", "labels": "tiffany", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-20ed0987899c407da4f86a9d163709fb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: During which holiday do Jews refrain from eating leavened bread?\n", "labels": "passover", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-47b1a3c788734ab1a7b9c992193a1a15"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible who was the husband of Jezebel?\n", "labels": "ahab", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1760b6c41f8740efa7294ba4d1a15915"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mike Leigh directed what 1999 film, starring Jim Broadbent and Timothy Spall, about a famous music theatre partnership?\n", "labels": "topsy-turvy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ec42788cc2184cdb908f0576b8e327ce"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Jim Hacker in the TV series 'Yes Minister'?\n", "labels": "paul eddington", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-57e7fd0b90274b718cbd176a68aa7aa4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jim Kerr is lead singer of which band, who had 1985 hit with Don't You (Forget About Me)?\n", "labels": "simple minds", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1f89bb7a593f41eeb9cd48e90a79979c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lead singer of The Doors, Jim Morrison, died in July 1971 in which European city?\n", "labels": "paris", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-21d550d788de448094dc280f31e50a00"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jimmy Helms and Myles Kane were members of which US Chart topping band?\n", "labels": "londonbeat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0626bb432ebf4fa7a36dfbbb3121afbd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jimmy Somerville fronted which 1980s band?\n", "labels": "bronski beat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b0655087220c4c60ab9d5cb1a6f0f551"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which forename is the writer JM Barrie credited with having invented?\n", "labels": "wendy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cab14be723204b62bdeeaea33f126309"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actor was married to actress Joan Plowright?\n", "labels": "laurence olivier", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-42f5b7ed660c4913b5c1f12ec56fed93"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Joe Anderson became the first directly elected Mayor of which city in May this year?\n", "labels": "liverpool", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6e5f032c15c74eadbcdd1d255b7b908a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What TV series, which debuted in 1951, featured the weekly travails of, Just the facts, ma'am, Sgt Joe Friday?\n", "labels": "dragnet", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fbc8961803ee42d28a7e23c3c5a5bc60"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actress is the mother of actresses Joely and the late Natasha Richardson?\n", "labels": "vanessa redgrave", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4a08b40f02894c93aa0b42e340ab242c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Joe Strummer and Mick Jones were singers and guitarists with which band?\n", "labels": "clash", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-22dc84f9c9e943808eabec9cda06ea97"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With which Dutch football club did Johan Cruyff spend most of his career?\n", "labels": "ajax", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-87b18cfab63a4b26bb7acca3756e829f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Johann Galle was the discoverer of which planet?\n", "labels": "neptune", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1276460dd10942ed82cac1f2b7f8bb9f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: As well as being a writer on cricket, John Arlott also wrote extensively about what?\n", "labels": "wine", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2d1971296e02496ea6e66c3f2f56910f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was assassinated by John Bellingham?\n", "labels": "spencer perceval", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-91008a21e14d46adb2f3f7984e2b4952"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: British comedian John Bishop was born in which city?\n", "labels": "liverpool", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a65c9ab5871d4b39a24ddade11545802"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jill Munroe, Kelly Garrett, and Sabrina Duncan, along John Bosley were found on what late 1970s TV series?\n", "labels": "charlie's angels", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8824bd2d32d045d992fa8443cc52fbc9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: For which role did John Cleese win a BAFTA in 1979?\n", "labels": "basil fawlty", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b374c01388a4436bab572eac81a2443c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Besides a back complaint, what else did John F Kennedy suffer from?\n", "labels": "addison's disease", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cd5733f6e65e456a8f672f5cb2911f22"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The fashion designer John Galliano was born in which British overseas territory?\n", "labels": "gibraltar", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7fa081c9fd2c4007884dd8bc001ec0af"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What book does the phrase Who is John Galt come from?\n", "labels": "atlas shrugged", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b51717eaac234b3a86002e1f051f3cd1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of the craft in which John Glenn first orbited the Earth in 1962?\n", "labels": "mercury-atlas 6", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6bba5c0c3f2a4581a8c42273828f8e37"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which North American city is the John Hancock Center?\n", "labels": "chicago", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7c0926803f254d84b6afd6f0d200498a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible who was the father of the disciples James and John?\n", "labels": "zebedee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bddafea749774c37bc0edb4da8db5460"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Directed by John Lasseter, what was, in 1995, the first film to be entirely computer-generated?\n", "labels": "toy story", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4dc790414dbf4deaa2fa683a2d9988d7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 2009 movie, the directorial debut of Sam Taylor-Wood, tell the story of the adolescence of John Lennon?\n", "labels": "nowhere boy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f0e16e7c28b74f2fa2c0a9c0515132a7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: John Maus died in May 2011, of which pop group had he been a member?\n", "labels": "walker brothers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-476de2302b27439da8a03b36acba247a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: John Mayall's band which helped launch Eric Clapton's career was called what?\n", "labels": "john mayall & the bluesbreakers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b6d5c987c63048348b04acf94e29c71d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: John Mills won an Oscar in 1970 for his role in which film?\n", "labels": "ryan's daughter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-179a15bf49e643358f00a14de935f7b2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With which instrument was bandleader Johnny Dankworth associated?\n", "labels": "alto saxophone", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c7f9f4437f1a4177827389cd56d342f7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Starring Johnny Depp, which was the highest grossing film worldwide in 2007?\n", "labels": "pirates of the caribbean: at world's end", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e84f2152ebff462bad64478ea9d78e51"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays the title character in the 2003 film Johnny English?\n", "labels": "rowan atkinson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eb91531fdddf4fcd9d63595e3f584d35"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: John Reid holds which Government post as at October 2006?\n", "labels": "home secretary", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6fd41b13a33541c490017bf315b7ae8d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which US state will you find Johns Hopkins University?\n", "labels": "maryland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-db765a791de74c649da01c3d118a4437"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Johnston McCulley created which character in 1919 The character became famous in comics, books, film and on TV.?\n", "labels": "zorro", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-857731f977ce4538b9b983cec2406ccd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which incident lasted 30 seconds on the 26th October 1881 in the United States inspired a 1957 film directed by John Sturges?\n", "labels": "gunfight at the o.k. corral", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dec970d58cc34564ba2151f0eba7e4bd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which show about Danny and Sandy was made into a film with John Travolta and Olivia Newton-John.?\n", "labels": "grease", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f8fa0dd0fe4b426da7be8b84f079265f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: John Wayne won his only Oscar for his role in which film?\n", "labels": "true grit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e8e8a5f1acea4b19a2c480e74f93996b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which actor played Al Jolson in The Jolson Story and it sequel?\n", "labels": "larry parks", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c5bd3dd1d62d40e7bdba2f901acf41d7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who won Wimbledon mixed doubles titles with Paul McNamee, Mark Woodforde and Jonathan Stark?\n", "labels": "martina navratilova", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d5f88555fed64a8bb784efb11a25dd99"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of Joseph Heller's best known novel?\n", "labels": "catch-22", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f407cec736e646dcb82ea4afd1bf32d6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which state is home to the Joshua Tree National Park?\n", "labels": "california", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e13d99a44bb34dba9db6e0abfa38f32c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Directed by Joss Whedon, which 2005 science fiction movie was based on a short-lived TV show that was cancelled after only eleven of its episodes were broadcast?\n", "labels": "serenity", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b3a154f8e2e044bd89b411b289045f86"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 2009 album 'Journal for Plague Lovers' was released by which band?\n", "labels": "manic street preachers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7e76fbcc907f4fe7b1f73cbaa9cd4848"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In September 1937, the first edition of which J R R Tolkien novel was published?\n", "labels": "the hobbit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3b3649d2b9a442a0b8af88f5804dace7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is one of the fictional languages spoken by the Elves in the fantasy works of J R R Tolkien?\n", "labels": "quenya", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fd02ba4653fb40b6a0d297099e0e3964"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The second movement of J.S. Bach's 'Orchestral Suite Number 3 in D', is better known as what?\n", "labels": "air on the g string", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b8d117c949b34f1f955aa1cec2429193"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who led the charge up San Juan Hill in Cuba in 1898?\n", "labels": "theodore roosevelt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a96e7c19e0fd4aefb29965408c4a2e03"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who captained Jules Verne`s submarine `Nautilus`?\n", "labels": "captain nemo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-77ba9e60a29d45dab52f2ce2816b8060"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jan Sterling in 1956 and Suzanna Hamilton in 1984 both played the part of Julia in two different versions of what film?\n", "labels": "1984", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c4454b8dad9f4613ac3df5980ad4eac4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Jazz musician Julian Edwin Adderley was usually known as '........... (what) Adderley'?\n", "labels": "cannonball", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8d6bbbef9dc5489e87941a801bbf4f42"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Downton Abbey creator Julian Fellowes won an Oscar for best screenplay for which film?\n", "labels": "gosford park", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d94cc71a87ec4b4dbd00bcd596381f0a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Perhaps best known for her role in 'The Devil Wears Prada', which actress provided the voice for 'Juliet' in 'Gnomeo and Juliet'?\n", "labels": "emily blunt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-581f385cef8442f399ddc380642aad2e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whose comic characters include 'Kevin Patterson', 'Julio Geordio' and 'Tim Nice-But-Dim'?\n", "labels": "harry enfield", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-125c47ca29a445aaa18227e321535105"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: How many rings does Jupiter have?\n", "labels": "2", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-aa4f9b75658e49389e157dd0ca0d8771"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the largest moon of Jupiter?\n", "labels": "ganymede", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0ff7346168f749ba8bd6046007e7cb1e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the host of the Radio 4 programme Just a Minute?\n", "labels": "nicholas parsons", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d418c80954554c1f8dff06b6d74aa5b8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a No.1 hit with Justify My Love?\n", "labels": "madonna", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ddddbf84208c4fb191806cc4c1cc5b3a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Singer Justin Bieber was born in which country?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c2f5c1d12c694eb48e26076c40d611ec"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What nationality is Justine Henin, winner of 7 Grand Slam singles titles and an Olympic gold medal, who retired from professional tennis in 2008 when ranked World No. 1 and returned in 2010?\n", "labels": "belgium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4416b9eaa1254ab1bfb92bebc096bb51"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With which 1960's group do you mainly associate the name of Justin Hayward?\n", "labels": "the moody blues", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b484d575625f435b8483206859579434"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput:  'Just One More Thing' is a 2006 autobiography by which late US actor?\n", "labels": "peter falk", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f9d10de6bf2b4662affb3410ca72778d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: From the Latin for Kalium, what element, with an atomic number of 19, uses the symbol K?\n", "labels": "potassium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-942e9d7cf8264551bd1a7d97614d8738"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which car company produce a model called the 'Kangoo'?\n", "labels": "renault", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-57a7e95b133340b181eac8d1c09f48d8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which river runs through the cities of St. Louis, Saint Charles, Jefferson City and Kansas City?\n", "labels": "missouri", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-56afc0f41fde4641b5eb64ed5b1ee657"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of the American state of Kansas?\n", "labels": "topeka, kansas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0c8cdbd05a054b29940d1e194651e677"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What US state borders both Kansas and Utah?\n", "labels": "colorado", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9b8541de559746f7b47c67ad283ceacf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the US, which state borders the south of Kansas?\n", "labels": "oklahoma", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7617f66c314f49cebc13597ef9bf8561"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What book was published by Immanuel Kant in 1781?\n", "labels": "critique of pure reason", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fb487ce4aea34b62a6b12fc47a5b08bd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which author wrote the classic Russian novel, The Brothers Karamazov?\n", "labels": "fyodor dostoyevsky", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-859d85d98b314db08206c670061c7b3f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who shared the 1909 Nobel Prize in Physics with German inventor Karl Ferdinand Braun in recognition of their contribution to the development of wireless telegraphy?\n", "labels": "guglielmo marconi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0e9d708e45ef462bb358cacacd599859"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who, along with Karl Ferdinand Braun, won a Nobel Prize for Physics in 1909 for their work on wireless telegraphy?\n", "labels": "guglielmo marconi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1801b32e566f4819ae2047e0c4f0fa01"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which James Bond film does he have to defeat shipping magnate Karl Stromberg?\n", "labels": "the spy who loved me", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cd701d8318d04432a0ea58c22dc12a14"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had a No 1 in the 80's with Karma Chameleon?\n", "labels": "culture club", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ac9c228134fb4292822f2ae54a9621d1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kasimir Malevich is the best known painter from which Russian artistic school that was founded in 1915 and which focused on fundamental geometric forms?\n", "labels": "suprematism", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fce81b736cec44c58e374b6e9c6673ff"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which former political lobbyist is now married to GMTV presenter Kate Garraway?\n", "labels": "derek draper", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a9eab96163374b8fb41bb79a2fafde9b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who, after splitting from a long term girlfriend in 2008, briefly dated actress Kate Hudson, and in 2012 was dating Serbian tennis star Ana Ivanovic?\n", "labels": "adam scott", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4b67bfcb45f44d69acf239c953fdca6a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kate Hudson is the daughter of what famous actress?\n", "labels": "goldie hawn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7f839fd6ffbd4ab08e76845193908976"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which short-lived soap set on a North Sea ferry did Kate O'Mara play Catherine Laker?\n", "labels": "triangle", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-abbb4478f5714c1da7d13980da025e44"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: For which movie did Katherine Hepburn win her third Oscar?\n", "labels": "the lion in winter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-747c7259fd204fc6aeccbdf2bd67c71c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which play would you find the couple Petruchio and Katherine?\n", "labels": "the taming of the shrew", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-13da41029f3048bd88fded06807fac76"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 1990 film earned Kathy Bates a Best Actress Oscar?\n", "labels": "misery", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-71cd91b2fe9e4d2293f757bb62bab2ac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which film series would you expect to film Katniss Everdeen and Peeta Malark?\n", "labels": "the hunger games", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1e6844c4a0df4b239a748c2f370cb98b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which football league championship side plays home games at Keepmoat Stadium?\n", "labels": "doncaster rovers f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-572f3e07e50e4ac28478ef4804278ec6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which group had number one hits in 1966 with 'Somebody Help Me' and 'Keep On Running'?\n", "labels": "the spencer davis group", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cdf3feef337b454b8c4f80eb12bcd8b8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the music for the song Keep the Home Fires Burning?\n", "labels": "ivor novello", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-72fd583a7e3048e68179268cdf5ebe83"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country is served by Keflavik International Airport?\n", "labels": "iceland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-88a8757f3d8e417f8092d8cb0a9f7128"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: December 12, 2003 saw the death of Keiko, an Orca whale, off the coast of Finland. Keiko achieved fame as a star in what movie series?\n", "labels": "free willy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-05d1e22e63bd4bd9968184c97aa654bc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kelly Tilghman was the PGA tours first female what?\n", "labels": "commentator", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5e53190a502243e699c0daecb98e717d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kelut and Merapi are among famous Indonesian (what) in the 'Circum-Pacific Belt' or 'Ring of Fire'?\n", "labels": "volcano", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-59a24443880a43198cd1d9dcaba325c6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 'Kelvin Scale' is used to measure what?\n", "labels": "temperature", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6900708b47ed43a2a7e7bd7c3352fe80"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The drama critic Kenneth Tynan devised which controversial 1969 musical revue?\n", "labels": "oh! calcutta!", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4ca1b22c15547d690767c473f52a3b4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the racecourse in Louisville where the Kentucky Derby is run?\n", "labels": "churchill downs", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0b92e9ce4a8447bf92ea36cc05f341db"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who founded Kentucky Fried Chicken?\n", "labels": "colonel sanders", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-58219b3311b248228c2aa40d7debc380"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital city of Kentucky?\n", "labels": "frankfort", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-024b97385ffd416cb396f42af127046c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the famous American pioneer who was involved in marking out the Wilderness Trail in the west and founded the first settlement in Kentucky which was named after him?\n", "labels": "daniel boone", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e0ca74986ccd453a94a5fc37711615ea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: On which race track is the Kentucky Oaks run?\n", "labels": "churchill downs", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a951d5296b9e4aa6aba07f56c137a886"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of the secret society which led a revolt of the Kikuyu people of Kenya in 1952 ?\n", "labels": "mau mau uprising", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b07a6fb46e2543029dad74d88d4cc43a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country is Keplavik Airport?\n", "labels": "iceland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5405693d7e054f1bbc670550260f866e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which body is orbited by the moon called Kerberos?\n", "labels": "pluto", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8a848d9acdb643e99142b61289b2a488"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Bryan Abrams, Sam Walters, Mark Calderon and Kevin Thornton formed which group?\n", "labels": "color me badd", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-126dc71086874e6fb492f879639d40e8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Where would one find a kibbutz?\n", "labels": "israel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e089bc83ac16444da98fe5a011f9ab51"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country is the 1984 film `The Killing Fields` set?\n", "labels": "cambodia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0e33447a0d124af8820c5310a3d3e18a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The light that failed in 1871, Captain Courageous in 1876 and Kim in 1901 are all novels by which famous author?\n", "labels": "rudyard kipling", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8bacf370b8f44bbfb394b61241a3282a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In April, which sportsman married his childhood sweetheart Kim Sears?\n", "labels": "andy murray", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d5bbe46fdb124b80a22146619ca1912c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who made the highly rated 1959 jazz album Kind of Blue?\n", "labels": "miles davis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-74cbdab5edee467d98401fe20fb61bc8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1999, King Abdullah II and Queen Rania became the rulers of which country?\n", "labels": "jordan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5f004ccbedb74215b9a7a967cb47cc72"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Bible what was the name of King David's wife who had been married to Nabal?\n", "labels": "abigail", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-701aa35767ea4f839ef82b9935554ebe"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Noble Order of Knighthood, whose motto is honi soit qui mal y pense was founded in 1348 in England by King Edward III?\n", "labels": "order of the garter", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2d979d4f34e44c809c47bddf6dc8d31c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: At which battle was King Harold killed by an arrow?\n", "labels": "battle of hastings", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-430c7b107024449ea17f376fe83fda6f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The majority of English Monarchs since the Norman Conquest were interred in either Westminster or Windsor, but where was King John buried?\n", "labels": "worcester cathedral", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e454e7655bab4137962a1922d0d753a9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1933, which actress starred in the original 'King Kong' movie?\n", "labels": "fay wray", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1b332edf5779407cab6b1deba2ba6c8f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the female lead in the 1933 movie King Kong?\n", "labels": "fay wray", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d9d8c1d5a8954d44bba9ef7d44706d32"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What song by Kings of Leon gave them their first number 1 single in the UK, charting at the top-spot on digital downloads alone, before its physical release?\n", "labels": "sex on fire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6a31216343174489ad66788e94395dc8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays King George VI in the award winning film The King's Speech?\n", "labels": "colin firth", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e448d9a615294235b5214903440864d1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kingston is the capital of which country?\n", "labels": "jamaica", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c25f6c36fd764267a497c755588eff15"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who created the private investigator Kinsey Millhone?\n", "labels": "sue grafton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2acb415053254778b9352fd805fd13aa"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Kipper and the Corpse was an episode from which classic comedy series?\n", "labels": "fawlty towers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7b074f46159d4625a4842d5d33f92795"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which musical is based on the novel Kipps by H. G. Wells?\n", "labels": "half a sixpence", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-03638e146c12446da6633bc5fbe9e179"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The equatorial Republic of Kiribati's 'Kiritimati' (Christmas) Island, among the first land to see each new day/year, is in which ocean?\n", "labels": "pacific ocean", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1a125ef5dd72425eab7054d10a1e1b57"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British singer/musician released a 2012 album entitled 'Kisses on the Bottom'?\n", "labels": "paul mccartney", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c00d0c94ee674303be5e3841bccfa4a2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country's largest cities (by population) include Klagenfurt (no.6) and Villach (no.7)?\n", "labels": "austria", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a1770137ad04474cb15d0899f663e809"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: KITT, standing for Knight Industries Two Thousand, is a Pontiac Trans Am controlled by a computer with artificial intelligence in what mid-1980s TV program?\n", "labels": "knight rider", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0963637a43c44058a1337be2f9aa36b7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whos recent book, titled Known and Unknown: A Memoir, is currently ranked #1 on the Amazon sales list?\n", "labels": "donald rumsfeld", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-75cdccddef464f48bfecb0c54b2a7cd7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which sport would you use a knuckleball?\n", "labels": "baseball", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d28be607c4394afbaf63952c8f20c2de"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was president of the USA when Chiang Kai-shek and his National Revolutionary Army fled to Taiwan from mainland China, during the House Un-American Activities Committee under Senator Joseph McCarthy, and during most of the US involvement in the Korean War?\n", "labels": "harry s. truman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ef9238cf25a748cf83c2375ca0433dca"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was president of South Korea during the Korean War?\n", "labels": "syngman rhee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3b29cf9ef1a5468195d845a62dda8792"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The island of Kos is in which sea?\n", "labels": "mediterranean sea", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-260df1d6c9524f5a96282d9d63df116e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which South American country is Europe's Spaceport, Kourou?\n", "labels": "french guiana", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-af39e34f39664472b37575c3f3a4f410"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Violet Kray, the mother, in the 1990 film 'The Krays'?\n", "labels": "billie whitelaw", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3d6daf03fb8a40dd8ce5ca2308115390"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Kris Kross had a No.1 hit with which song in 1992?\n", "labels": "jump", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c5d32cf9cdea46ec947c22cfc26087c8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Kroon is a monetary unit of which European country?\n", "labels": "estonia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e1cce017888445668a010277608965d3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Petroliam Nasional Berhad, the huge Malaysian gas/oil corporation gave its abbreviated name to what world-leading Kuala Lumpa landmark?\n", "labels": "petronas towers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a00c9cd38b5d44d3862a54078d24a710"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British poet wrote 'Kubla Khan'?\n", "labels": "samuel taylor coleridge", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-57278138a0e54333b509c6e91f2f01b4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: According to Coleridge, where did Kubla Khan decree his pleasure dome?\n", "labels": "xanadu", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2e12726c5bb640a1b4f730d4729c6f4f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which African country has the Kwanza as its currency?\n", "labels": "angola", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-448fd1900f834a8097a9295be1a854c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Where could you spend a Kyat?\n", "labels": "burma", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-72105fe3b1b1405f85773a64e017bb14"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What satirical musical by Kyle Jarrow about L. Ron Hubbard that pokes fun at his science fiction writing and personal beliefs, was originally presented in 2003 in New York City by Les Freres Corbusier (winning an Obie Award) and received a Garland Award for the director for the 2004 Los Angeles production?\n", "labels": "a very merry unauthorized children's scientology pageant", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ee7763ad530b4dcabfd8a2cc0490bc78"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What country was Kylie Minogue born in?\n", "labels": "australia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0936b1de837b48c1ae4d753f4292f2ad"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: La Bamba was the biggest hit for which star?\n", "labels": "ritchie valens", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7b8d73b9ec1644f5a7a20b7ee75ce909"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who composed the opera La Boheme?\n", "labels": "giacomo puccini", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-923715e3179e485f88edaaa3c4e25dd7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the first British Labour Prime Minister?\n", "labels": "ramsay macdonald", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c387b96965304dceace99daa40ec4f3a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was Britain's first female Foreign Secretary and the first female leader of the Labour Party ?\n", "labels": "margaret beckett", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e5a59dbb5dec464db47bba5a3c01b78e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the deputy leader of the Labour Party?\n", "labels": "harriet harman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b2f1f7d011b74a6da7b76aa103a0c45f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In British politics, who did Neil Kinnock replace as leader of the Labour Party?\n", "labels": "michael foot", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-af909d8cae39492bb190ed73af1f8970"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: A man and a woman sitting in a Paris bar - who painted L 'Absinthe in 1876?\n", "labels": "edgar degas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c6c0813da7c64560ac3ca7c0f7b0f5c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Greek city was also known as Lacedaemon?\n", "labels": "sparta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5241c938faaa489fa5dc4db3607904a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Laconia is a southern region of which European country?\n", "labels": "greece", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-452e19dc5b1041e5a2dd9b1cc9b909cb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The aria La Donna e Mobile comes from which opera?\n", "labels": "rigoletto", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-64c312f2e64148b0b5a84798e163fbc2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The song La donna e mobile comes from which Verdi opera?\n", "labels": "rigoletto", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7e9a6596499a4289a328fd877a9a0618"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'La donna e mobile' comes from which Verdi opera?\n", "labels": "rigoletto", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-440b6921de514dc6b0bde68badb63d3d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the correct title of a 2013 Lady Antebellum album?\n", "labels": "golden", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-80725b003a274428a60f372a18472e2c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the car registration of fictional character Lady Penelope?\n", "labels": "fab 1", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-421f4fa323b349a589d83a63d0f3360c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Where was nursing pioneer Florence Nightingale (the lady with the lamp) born?\n", "labels": "florence", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-93d9e187bd72420baed2fead9318b0a4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lake Balaton is in which European country?\n", "labels": "hungary", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-aaac7c983ab64d06aab308163380da61"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which European country is Lake Pielinen?\n", "labels": "finland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a8baf3bec8bf4892a066bab5469e6757"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which La Liga football team plays in a city on the west coast of Spain?\n", "labels": "celta de vigo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-da13fd2e5b7d496e93e35cbfd085f9d0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American TV director and producer who died in 1991 was responsible for 1960's TV shows such as Voyage To The Bottom Of The Sea, Lost In Space and Land Of The Giants ?\n", "labels": "irwin allen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e0fd0ec1c3284f6fb2fb56355a4a18b9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country is bordered by Laos, Vietnam and Thailand?\n", "labels": "cambodia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4069249a440446e7b68f4bf29b5d5734"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the composer of The L'Arlesienne Suite?\n", "labels": "georges bizet", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c2c05e0063444b73845111f47a520b27"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: American Larry Adler was known for playing which musical instrument?\n", "labels": "harmonica", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d4ca9dadf45541b787678dc9fbe3a1ff"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What company was founded by Sergey Brin and Larry Page in 1998?\n", "labels": "google", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-69164ea174ab455b810ac6828d47d387"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city is La scala opera house?\n", "labels": "milan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f30877b779b64304a138e0db792f0491"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is another name for laughing gas?\n", "labels": "nitrous oxide", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bc58b7a3d3ca41dd9e09e662f19b3797"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: English sportswoman Laura Davies is associated with which sport?\n", "labels": "golf", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-64cb96e69f524a3a815c8bbca7999b27"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the title of the 1944 film in which Lauren Bacall made her movie debut?\n", "labels": "to have and have not", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3a08f6ffb9dd4e3786f460535c604bbc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which play by John Osborne features a character called Archie Rice, a part written for Laurence Olivier, who played it on stage and in a 1960 film version?\n", "labels": "the entertainer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4a5bdb5157043caa480ff1b3771ce3b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the subject of the 2007 film La Vie En Rose?\n", "labels": "edith piaf", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-76cd8d15c1734d5f942814e029e4bf6c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Prince Feisal in the epic film 'Lawrence of Arabia'?\n", "labels": "alec guinness", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-243cdf97cf204496961b8c7e7d76e8a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The world's largest working waterwheel, the Lady Isabella (also known as the Laxey Wheel), is on which island, known in its national language as Ellan Vannin?\n", "labels": "isle of man", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fb6b7bcfad384a5688eebdeff762c0a9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Where in the British Isles can the Laxey Wheel aka Lady Isabella be seen?\n", "labels": "isle of man", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ccccad04e67847d5b7e4529adc8f9f55"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: How is the new Leadenhall Building in London colloquially known?\n", "labels": "122 leadenhall street", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bcec6ff7ae614e6cb3284b368d68512f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which US state is the Ivy League Brown University?\n", "labels": "providence, rhode island", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-373607796b3a4dfc9c533ce915f13b06"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the only club in the League of Ireland from outside the Republic of Ireland?\n", "labels": "derry city", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a67c24c6fc244b859f6c5c62dce0ace5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Paul McNamee, Mark Woodforde, Jonathan Stark and Leander Paes were the four men who partnered which woman to win the mixed doubles title at Wimbledon, in 1985, 93, 95 and 2003?\n", "labels": "martina navratilova", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c802794b5ded40d28f3507c5312234c6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of the following Shakespeare plays would not be classed as histories King John, King Lear or Richard III?\n", "labels": "king lear", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b4ac332f4cc4481eb58210bc554fdc5f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The song Leaving on a jet plane was a number 1 hit for Peter, Paul and Mary in 1970. Which successful recording artist wrote this song?\n", "labels": "john denver", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a0bbf04aea8445d2bb4d33e5c047aff6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the wife of retired footballer Lee Chapman?\n", "labels": "leslie ash", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-642f0f8466184491a4d43c56ba4e7f1a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which celebrity chef who has appeared in Hell`s Kitchen and Kitchen Wars was born in Leeds?\n", "labels": "marco pierre white", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e18728b859ae49d499ed4146e2578561"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What comic strip, created by Lee Falk, tells the story of a line of costumed crime fighters who operate from the fictional African country of Bangalla?\n", "labels": "the phantom", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ace76364f4724ec7ae31228c33350ee5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who shot Lee Harvey Oswald after his arrest for the assassination of John F Kennedy?\n", "labels": "jack ruby", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-70189d00f06c43fb91bd31639f5f6cf1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: John Bacchus played by Lee Ingleby is the sergeant to which TV police inspector?\n", "labels": "inspector george gently", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e5a925673da142fd90eba42011c1c7bf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Between April and July 1997 Andrew Cunanan killed 5 people (beginning with Jeffrey Trail in Minneapolis, David Madson, near Rush City, Minnesota, Lee Miglin in Chicago, William Reese in Pennsville, New Jersey) before shooting himself. Who was his 5th victim, shot in Miami Beach, Florida?\n", "labels": "gianni versace", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a6befadd7cf44076aeecff15533262b5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which capital city is known to its inhabitants as Lefkosia?\n", "labels": "nicosia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-59ebec337b7441aa972adf9638de3c6e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Star Wars series of films which fictional planet is the home of Princess Leia?\n", "labels": "alderaan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-11d31d6e0df846a1a477943c5bea258c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Lena River, the Ob River and the Yenisei River in Russia flow into which large body of water?\n", "labels": "arctic ocean", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ff9e418be1644c1d84e9e58f4373ce20"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name Leonard Nimoy's autobiography?\n", "labels": "i am not spock", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-591cb191dea54228a4617482fd3146d6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Leonardo DiCaprio and Mark Ruffalo play US Marshalls investigating the disappearance of a psychiatric patient in the 1950s in which 2010 film directed by Martin Scorsese?\n", "labels": "shutter island", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b1b7269478804f139057450b005352a6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Leslie Hornby became more famous as who?\n", "labels": "twiggy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0bf7b55e870841b09f35d75515b8cf13"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The musical Les Miserables is based on whose novel?\n", "labels": "victor hugo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3df4af9edd5e4331a56a1bcb2d0f2963"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who directed the 2012 film Les Miserables?\n", "labels": "tom hooper", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b79e2be074f4435ea7f4f141874dde80"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of Lesotho?\n", "labels": "maseru", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a050a169607243bf8a2635a22c77deea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lewis Wilson was the first actor to play which character?\n", "labels": "batman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2c328803dab547cdba9638b87cf82efd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Liam Gallagher is the lead singer of which group?\n", "labels": "beady eye", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a906113fdda84fcaa1128df26cf9ba04"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the group formed by Liam Gallagher after the break-up of Oasis?\n", "labels": "beady eye", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-aeaba92d294049cc96a6d761524fbaee"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the deputy leader of the Liberal Democrats?\n", "labels": "simon hughes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9c0da1732df94dddb936266d0d5eb27b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who became the leader of the British Liberal Party in 1908?\n", "labels": "h. h. asquith", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cf13b17a70bf430c833a83fa54bbd526"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: For which TV programme was the Liberty Bell March the theme tune?\n", "labels": "monty python's flying circus", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6420d0b4f43242628acc16d508e4b459"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the French artist (1798-1863) whose painting 'Liberty Leading The People' is in the Louvre?\n", "labels": "eugene delacroix", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c12d00b30b524b6093190d35cd3c4f37"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who painted 'Liberty Leading the People' on display in the Louvre?\n", "labels": "eugene delacroix", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ad459a7fc19b4079a292947d6e463de6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which football team play their home games at the Liberty Stadium?\n", "labels": "swansea city a.f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6f690e7532fc4f0ab2d9f9e549853580"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the ruling planet of the astrological sign Libra?\n", "labels": "venus", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d967b90a7e0a4a6591a7eb571b154454"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who, in 1989 sang the theme song to the James Bond film Licence to Kill?\n", "labels": "gladys knight", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9b21daa54761481490669c9d83572db4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of Lichtenstein?\n", "labels": "vaduz", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4945f17fa4344d8eb103d126e1a22f40"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who starred as Lieutenant Danny Roman in the 1998 film 'The Negotiator'?\n", "labels": "samuel l. jackson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fe260c6ad4354528b702dcde5c2b7d3e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Released in 1976, on which album would you find the songs, Life in the Fast Lane, New Kid in Town and Wasted Time?\n", "labels": "hotel california", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-457c55f93d3a4ac4b21dff57fe7fa725"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the tiger in the 2001 novel 'Life of Pi'?\n", "labels": "richard parker", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a8672062c3964640a589e23801ecc415"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Philip Glennister played the part of DCI Gene Hunt in the series Life on Mars, who played detective sergeant Ray Carling?\n", "labels": "dean andrews", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b24d296ef6754c33a5295d1ac5dd8623"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With the county town of Lifford, which is the most northerly of the counties of the Irish Republic?\n", "labels": "donegal", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9ef132bad4bf4c5f99519edde6a58e51"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who invented the practical light bulb?\n", "labels": "thomas edison", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-404fbd884dfb4f97b2ac0489de8582dd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who started Poor Richard's Almanac in 1732, helped draw up the US Declaration of Independence and the US Constitution and invented the lightning conductor?\n", "labels": "benjamin franklin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a79230c3a53a49adbfc091f1055d165d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British artist painted The Light of the World and The Scapegoat?\n", "labels": "william holman hunt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5e08a7390c2f4b168eaac4217f01f043"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which English county is the Lightwater Valley Theme Park?\n", "labels": "north yorkshire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1372499087904285a31a851473fa5238"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which is the only club from outside France to play in the French Ligue 1?\n", "labels": "as monaco fc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-78a770692cca4a3d8e52b2eb70bf4f95"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had an 80s No 1 with Like A Prayer?\n", "labels": "madonna", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-51da60f1d03f4b619477b2d533c8d018"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Likud, meaning 'the consolidation', is the leading conservative political party (at 2012) of which country?\n", "labels": "israel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e4d48b1aa64f4635bee1fb4f69e5d474"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Limahl was the lead singer of which 1980's chart group?\n", "labels": "kajagoogoo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c67b5781393c4a26abea85faedaddc31"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British Prime Minister served the constituencies of Limehouse and Walthamstow West?\n", "labels": "clement attlee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-416cd2ea1862484a9d7740d667f9f082"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Limestone is a rock primarily composed of which chemical compound?\n", "labels": "calcium carbonate", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cc3d507829d9444a93c95c8432278e11"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the title role in the 1939 film 'Young Mr Lincoln'?\n", "labels": "henry fonda", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-61c293d5f6674f2a99188c69be6502da"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who contributed 5 songs to the soundtrack of the Lion King?\n", "labels": "elton john", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-35c3529985af4b06bb60b9d2a45da3c4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which group ha a number one hit for three weeks in 1982 with 'The Lion Sleeps Tonight'?\n", "labels": "tight fit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-19113ff7ce69413f976ca3a0b9a33722"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the lion in the Lion the Witch and the Wardrobe?\n", "labels": "aslan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-515e21727f7d4beb839ebd37e81471b4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Lion, the Witch and the Wardrobe?\n", "labels": "c. s. lewis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-66d053488f5543cfae9b7a4fa7cd2ab5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the children's classic The Lion, The Witch and The Wardrobe?\n", "labels": "c. s. lewis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-65b12250ad4d439e8f8d99f65a3fb24e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What type of animal is a Lipizzaner?\n", "labels": "horse", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-35e274193821460ea552bc3dde7af241"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which liqueur, flavoured with the Marasca cherry, has a taste of bitter Almonds?\n", "labels": "maraschino", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a13524a102f64c0bb5873753fdc72708"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who has been married to actress Patricia Arquette (1995 to 2001), singer/songwriter Lisa Marie Presley (daughter of Elvis Presley, 2002 to 2004) and is now married to former waitress Alice Kim, with whom he has a son, Kal-El?\n", "labels": "nicolas cage", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ce45423b10d644ba98c8c45056c0d8f5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In whose books is Lisbeth Salander a leading character?\n", "labels": "stieg larsson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-04bf66985d394a65b3e0f89afddaa2dd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which illness is commonly treated with the drugs lisinopril and ramipril?\n", "labels": "hypertension", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d6b7aeb65dcb4a0d8681ac5b5ef8bbaf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was a co-founder of The Undertones in 1976 (which had hits with Here Comes The Summer, My Perfect Cousin, Wednesday Week and It's Going To Happen) and then went solo, releasing the singles Listen To Your Father, A Good Heart (1985), You Little Thief (1986) and in the early 1990s moved into the business side of the music industry?\n", "labels": "feargal sharkey", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a16459cdb06d4ce7be92588487087617"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Once known as 'the Jerusalem of the North', which city is the capital of Lithuania ?\n", "labels": "vilnius", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b8f2125a1b5f4a948ce2163c8542e632"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the correct title of a 2012 album by Little Big Town?\n", "labels": "tornado", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-56df90a331f541be87b1ce50171f26b7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The bronze statue 'The Little Mermaid designed by Edvard Eriksen, can be found in which city?\n", "labels": "copenhagen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eecf4eb2ed9841c9abf5d08b5e3241e7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Little Red Book was required reading by whom?\n", "labels": "mao zedong", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-afa760698b9d4ae9918c7a8d22dbe640"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which French author wrote the fairy tales 'Little Red Riding Hood' 'Sleeping Beauty' and 'Puss in Boots'?\n", "labels": "charles perrault", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e0b6d4288cbf40a2a2082751b6f869bc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Thick footballers  Which Liverpol footballer is currently halfway through a Maths degree course with the Open University ?\n", "labels": "glen johnson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2b0fb4c3c64844229081b2cd716d8929"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The characters 'Nelly Deane' and 'Mr. Lockwood', narrate which book?\n", "labels": "wuthering heights", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-35bac5f3ecff44a6842f76348ebe1752"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which city is home to Logan Airport?\n", "labels": "boston", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cce2595058e84f6fa563d567f4b32a59"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lombardy is part of what country?\n", "labels": "italy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b5e2b034344b442190464dcd58e664fd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the more popular name for the Londonderry Air?\n", "labels": "danny boy", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bee9ec4a6abb44f9b042ff02019b5d43"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was voted in as Mayor of London in May 2012?\n", "labels": "boris johnson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6fd3100b798945e5b7ca384ae5553adc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of the Yorkshire pub featured in the 1981 movie An American Werewolf in London?\n", "labels": "an american werewolf in london", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0440a9294b034a2f9ecbf99314deec20"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which of London's Royal Parks is Speakers' Corner located ?\n", "labels": "hyde park", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d73bd50d775347b09e717fb7b8961c26"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Sir Trevor Brooking Stand is in which London football club?\n", "labels": "west ham united fc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-24c1f37f8091465baa6850373d45d5e6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which London art gallery is situated in a Victorian mansion in Manchester Square?\n", "labels": "wallace collection", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cbbdb5c32a4443f18258bad5e091f947"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Irish playwright was the co-founder of the London School of Economics?\n", "labels": "george bernard shaw", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fe5240b301924feaa15788415d856b4c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which London Underground line connects Euston and Waterloo?\n", "labels": "northern line", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eced1db4e2c149f0be407b7caafdb6a3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which English authors works include, Saturday Night and Sunday Morning and The Loneliness of the Long Distance Runner?\n", "labels": "alan sillitoe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b765f80c8fb34ebaa4ed9c82bfd38c1c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who had hits with the songs, 'Lonely Boy' in 1976 and 'Never Let Her Slip Away' in 1978?\n", "labels": "andrew gold", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cf509bd1cf0243f1bf063c04b0a4104d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the movie 'The Longest Day' who played the part of General Norman Cota?\n", "labels": "robert mitchum", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e3e2304f320e41b6be8a761baeb5a93a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the resort area in the east of Long Island in New York state?\n", "labels": "the hamptons", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-222da56d93b64aeeae3ff11e3e1faa33"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput:  'The Long March' took place in which country in 1934-35?\n", "labels": "china", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-28fc8f342e744bb788f0f0a8348d80e4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays the title role in the 2013 film Mandela: Long Walk to Freedom?\n", "labels": "idris elba", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a20a02f02fcd4795abd3a65efee9af98"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country is referred to as 'The Land of the Long White Cloud'?\n", "labels": "new zealand", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-07202245311b4f0eaa2a629acd29299b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the voice of baby Mikey in the 1989 film Look Who's Talking?\n", "labels": "bruce willis", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f96f3587bffa497290125473cb58afb4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Of whose pilgrimage did Lord Byron write a long narrative poem?\n", "labels": "childe harold's pilgrimage", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-98b471a3af7c46bb81b919733959b8e6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote Little Lord Fauntleroy in 1885?\n", "labels": "frances hodgson burnett", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fe4d5a27a4d14561a195572d7b185414"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lord Rayleigh and William Ramsay won the 1904 Nobel Prize for the discovery of which element?\n", "labels": "argon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e223f81f208f4de5a99e57a6c058e491"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Lorena. Ochoa, the world's number one woman golfer, is from which country?\n", "labels": "mexico", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-20c9de7eeb00442698663d643c906a6d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American country singer, the younger sister of singer Loretta Lynn, had 18 #1 country hits during the 1970s and 1980s, and is best known for a series of country-pop crossover hits including Don't It Make My Brown Eyes Blue?\n", "labels": "crystal gayle", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ba3f3890e41d402c961b0bf99122000f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the plays Lost in Yonkers and The Prisoner of second avenue?\n", "labels": "neil simon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5ec6473930734028b60681a885b67dcd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name for the negative pressure generator invented by Robert Henderson and used extensively by Phillip Drinker and Louis Agassiz Shaw?\n", "labels": "iron lung", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9ebae16c648e461c945743ebbf34fed4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which city is served by Louis Armstrong International Airport?\n", "labels": "new orleans", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-aabcbc85ec774e3da74d1aacef8cefdb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which boy band consists of Niall Horan, Zayn Malik, Liam Payne, Harry Stiles and Louis Tomlinson?\n", "labels": "one direction", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-898ccda38f7042bc98310d00c49c59cb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the county town of Louth?\n", "labels": "dundalk", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f0ad1ed0d34a40e4b1bac4a352b95219"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who composed the opera 'The Love For Three Oranges'?\n", "labels": "sergei prokofiev", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-de691691b0eb4242adffd7b80ff5bcce"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whose theme song is entitled 'Love is like a Violin'?\n", "labels": "ken dodd", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c69d274362ae40538757726f53092237"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the best seller 'The Lovely Bones'?\n", "labels": "alice sebold", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-19643b5297df45b0811d111768903b8c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which group sung the 1997 Eurovision Song Contest winning Love Shine A Light?\n", "labels": "katrina and the waves", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bb79fa91f7244bb5ad3e589a48570489"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What pop singer was born in Lucknow India?\n", "labels": "cliff richard", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e171623339ae476fa4c4851bed9be0ac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Martin Roberts and Lucy Alexander are regular presenters on which BBC T.V. property programme?\n", "labels": "homes under the hammer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c7e87ef23e8d45348436212be6a3c3e6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Star Wars series of films who is revealed to be the father of Luke Skywalker?\n", "labels": "darth vader", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-99c42a497faa48639b15f30defdcc225"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who composed the music for the 1935 opera Lulu?\n", "labels": "alban berg", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6ca1e3b98051434785612718db2362a7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Luna is the Roman goddess of which celestial body?\n", "labels": "moon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-47169759941247f490499499d930336a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What fictional family has a gigantic, ominous butler named Lurch?\n", "labels": "the addams family", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-de1f89f8632e4660ac8011dc976cfa0c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Luzon and Mindanao are the two largest islands in which country?\n", "labels": "philippines", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-25b0557758b94d91b4ae4d3434ce463f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Royal Marine Barracks, Lympstone, are in which county?\n", "labels": "devon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0d46f426e0244c55ae7ba65ee3f6d9fc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which country will you find the Churchill; Pearce; Nelson and Mackenzie rivers?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f73ec59ebff44ab7a82aa5032434d1c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which composer wrote the operas Tosca, Madame Butterfly and Turandot?\n", "labels": "giacomo puccini", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-55cd44fb3c8a44afae5c95c596df6cbc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which musical was a reworking of Puccini's Madame Butterfly?\n", "labels": "miss saigon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0dad06aa29fb4025b943c42b4ff69f12"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Madame Medusa is a villainous treasure huntress in which Disney film?\n", "labels": "the rescuers", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b47b3f5f31524c458f7b8e2614af6675"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Madaraka Day is celebrated in June to commemorate the attaining of self-rule of which African country in 1963?\n", "labels": "kenya", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7e5e5fa2d501457a8e05fd8daa5e6eac"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which bands albums include The Works, The Miracle and Made In Heaven?\n", "labels": "queen", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-01cf5712bede42a090ecadc5c013f204"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Madeleine Gurdon is the third wife of which millionaire?\n", "labels": "andrew lloyd webber", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-22566064d9eb40469c391f4027d999f6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Where is the boxing venue known as Madison Square Garden?\n", "labels": "new york", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5f3d792a94394f24870736ec449fbb32"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the band Madness's only UK No.1?\n", "labels": "house of fun", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9977340d2a484fdcb057392122acabaa"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Madonna song mentions Grace Kelly, Joe Dimaggio, and Rita Hayworth?\n", "labels": "vogue", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2d67ecd2ff684299861113d9a3641c87"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What Jewish mystical teachings are followed by Madonna?\n", "labels": "kabbalah", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7279f0157da843d8a6e22a1cfc583d43"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was Madonna's first husband?\n", "labels": "sean penn", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0ef3af38963f40d58364edbaab1a9c9c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which company produces the 'Magentis' car model?\n", "labels": "kia", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6ac9e3c32b0e4f45836b86b19d39df0b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous actress provided the voice of Maggie in The Simpsons when she uttered her first word?\n", "labels": "elizabeth taylor", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-993a9dbe4e31428c989dfbe6868da39b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Tom and Maggie Tulliver' are the central characters in which of George Eliot's novels?\n", "labels": "the mill on the floss", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-00395ee652f04b939f51f305458b85b6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Austrian composed the opera The Magic Flute?\n", "labels": "wolfgang amadeus mozart", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-01c691262ec84b56b68be2aa8190546c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which composer, born on this date in 1928, wrote the music for the songs Magic Moments and Twenty Four Hours from Tulsa?\n", "labels": "burt bacharach", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c16ab144689542aa96c03b6576eebb39"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Magnesium sulphate is a substance used for medicinal and agricultural purposes. By what name is it better known?\n", "labels": "magnesium sulfate", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4aa1afba01db49bf9decb7a86eafc9d2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who assassinated Mahatma Gandhi in 1948?\n", "labels": "nathuram godse", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7de2ccaba4564395b34795775d4eaef5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mahe, Praslin and Silhouette are part of which island group?\n", "labels": "seychelles", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-28008dee06724ff18f8e8589058018d2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which English couny are the towns of Reading and Maidenhead ?\n", "labels": "berkshire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8d9173d90cf04bd88db475720adc46de"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays the politician who becomes the boyfriend of Jennifer Lopez in the 2003 film 'Maid in Manhattan'?\n", "labels": "ralph fiennes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6cd1e1dbe01a4834a4364a3dc1730269"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played by the title role in the 2002 film comedy 'Maid In Manhattan'?\n", "labels": "jennifer lopez", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4ec68278ef3f44baa9cfb3a9fab90459"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who created and wrote the TV series Maid Marian And Her Merry Men?\n", "labels": "tony robinson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8991a7fb821c443f8fa3528f881f4e0c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was known as the Maid of Orleans?\n", "labels": "joan of arc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0a6aca8e014a401897bbd960e272c1b9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the US state capital of Maine?\n", "labels": "augusta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0af41cc6f048458f89d5f1bc4269283c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which city is the state capital of the US state of Maine?\n", "labels": "augusta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c62a200b604c40efa5736b55edfe2772"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Makapansgat Caves are in which African country?\n", "labels": "south africa", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-afe1d4eee28f41b4809dabf77f2df4b9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1960, Makarios III became the first President of which Mediterranean island?\n", "labels": "cyprus", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-464551c84da14227822b564f0f39789f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Makes Me Wonder was a 2007 No.1 for which band?\n", "labels": "maroon 5", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4c2165bfb9d74bf2995247b6a2e909f7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Maladroit was a 2002 album released by which band?\n", "labels": "weezer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-890d446969fc4e6f8d8134cd6a5dfcdf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of Malawi?\n", "labels": "lilongwe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-04e023a839f84c688526bbb2105b49e0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Malayalam language is from, and still used by over 30 million people in?\n", "labels": "india", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2cc21d4a84944277ad5e34e5bb407ed1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which island in the Malay archipelago is divided politically between Malaysia, Indonesia and Brunei?\n", "labels": "borneo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d8d162cb350a4d598d30b9f623e610ea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital city of Malaysia?\n", "labels": "kuala lumpur", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-034cdcba71bc47dea210272cdb021a19"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of Malaysia?\n", "labels": "kuala lumpur", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a937ba83b7da4ffb9ed2c1289dcebe6f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is between Malaysia and Singapore?\n", "labels": "straits of johor", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-67457480670246b998bd6f63687b112f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the starring role in the 1992 film 'Malcolm X'?\n", "labels": "denzel washington", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-42c402ada65347219efae6de212fad8e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the play 'The Duchess Of Malfi'?\n", "labels": "john webster", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-26bff20ab22a4417bdfc1c6ccefc75b8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital of Mali?\n", "labels": "bamako", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9d62a92f64b44e73b2240aaf1cf21e9e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which town in Malta contains the replica of a World War II bomb in the roof of its local dome ?\n", "labels": "mosta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-de50f9c3291b4837a7e93fcb7173547e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Of which country is Manama the capital?\n", "labels": "bahrain", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-71ce699726bc4197b3932dbfbb3d53eb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whose book The Narrow Road to the Deep North' won the Man Booker Prize of 2014?\n", "labels": "richard flanagan", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8ca878abb7b1490a9749874f6b157f32"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who is the longest-serving captain in the history of Manchester United FC?\n", "labels": "bryan robson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e2611ea4617049c5b990e4b6235b1808"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: When Sir Alex Ferguson retired in May 2013 after 26 years as manager for Manchester United Football Club who succeeded him ?\n", "labels": "david moyes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cb2af6f0eb034c15a0273ef0a7ca2b25"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was manager of Manchester United immediately before Sir Alex Ferguson?\n", "labels": "ron atkinson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b839b05cc87e47108ca88069ba3d1c7f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: As at March 2001, who holds the record for the most league appearances for Manchester United playing in 606 matches?\n", "labels": "bobby charlton", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6ff89f75ee514b869468bf13bebc71f2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the title role in the 1955 film, The Man From Laramie?\n", "labels": "james stewart", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6ccafaab1b2c4e238f2c778ffdcaaecf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Making their record debut in 1989, what were Squire, Mani, Reni and Brown collectively known as?\n", "labels": "the stone roses", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c337bfb5a7b9473ca289fdc344cd79f8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the capital city of the Canadian province of Manitoba?\n", "labels": "winnipeg", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8cb03a08d1f64cea8f2b75e84cc3f8c3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With regards to the Isle of Man who currently holds the title Lord of Mann?\n", "labels": "elizabeth ii", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a8771adc9aaf41309b9b7901bcb36bc8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Ray Romano voices Manny, a woolly mammoth, in which animated series?\n", "labels": "ice age", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e58077d982584669aaca60553cbe4604"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the Old Testament book of Judges, who is the son of Manoah?\n", "labels": "samson", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-486a09f5d8d04247957b5ad15cd0c6e4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The 1972 film 'The Man of La Mancha' is based on which fictional character?\n", "labels": "don quixote", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-faae6bc3d9fb45a9a24c883897f6a640"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: `Man on the Moon` was the biopic of which US comedian?\n", "labels": "andy kaufman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-125947e1c46c42a1a3a0a3c3b7cbd9fe"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Richard DeVere in the TV sitcom To the Manor Born?\n", "labels": "peter bowles", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-89edbbe7108b453daf40c7e9801bee04"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Manuel Zelaya was ousted by military coup as leader of what Central American country?\n", "labels": "honduras", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-69f81a6b12f24c4bb43400060f20ab68"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who sang the theme tune to the James Bond film The Man with the Golden Gun?\n", "labels": "lulu", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fef363435c62458ab94a19ee223c6392"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Scaramanga in the James Bond film `The man with the golden gun`?\n", "labels": "christopher lee", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6acab17e556948408a37ea4789106a1a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote March of the Meanies for the Beatles' cartoon film Yellow Submarine?\n", "labels": "george martin", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2c3759f371a2448785f178589d0b735e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who commanded the Union forces during the 1864 March to the Sea?\n", "labels": "william tecumseh sherman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6bc154cb08944ea695b030cc290f85ab"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the son of Marcus Aurelius who succeeded him as Roman Emperor from 180-192 AD.?\n", "labels": "commodus", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9b71197cf6104ac0a5d2a397236f1272"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the title of Mariah Carey's debut single, which was a top ten hit in the UK and a number one in the USA?\n", "labels": "vision of love", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eb3f19a0027342179a255079f4e0484d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the title of Maria McKee's only UK number 1, due to it's use in the film Days Of Thunder?\n", "labels": "show me heaven", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-adfa4e33a539447b8a1b32cf20560672"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who beat Maria Sharapova in the 2012 Australian Open Tennis?\n", "labels": "victoria azarenka", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e697a32977584421bffdd02518bf3106"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Marie Antoinette, Queen of France and Navarre, was born in which country?\n", "labels": "austria", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-58db6a4278484bab93716e1e7a7dd345"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the mother of Marie Antoinette, wife of Louis XIV of France?\n", "labels": "maria theresa", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4d9f102499ba48deafa5bb97b7b538bb"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which city was scientist Marie Curie born, whose residents are known as Varsovians?\n", "labels": "warsaw", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3633d8a2d54f4cfc9046c1a2f13e3e6f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of Marilyn Monroe'sfilms included her version of the song, 'I Want To Be Loved By You'?\n", "labels": "some like it hot", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-97af37f4fa414e159499145ea52e06ec"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was Marilyn Monroe's last husband?\n", "labels": "arthur miller", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9614f312abc34d949f5f5db5b2f5101a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The Marina Bay Circuit used in Formula One for the first time in 2008, is the venue for which Grand Prix?\n", "labels": "singapore", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1d596fae989c41c887816aef123359cc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: One of the circuits for the 2011 Formula One season, The Marina Bay Street Circuit can be found in which Asian city?\n", "labels": "singapore", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e077ed9cd7ac46ecbd97ef190463e335"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Created by Nintendo in the 1980's, what is the profession of the video game character (Super) Mario?\n", "labels": "plumber", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b6e059ee5d754e41865ec7b94dc7753d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Also a plumber, what is the name of 'Super Mario's' older brother?\n", "labels": "luigi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-171b56ef2e6f4ee6b1860cadf7563062"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the famous Nintendo games, what is the name of Mario`s brother?\n", "labels": "luigi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-758cf0c8d05e48ff97da293e6cb98866"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Marion Crane was the name of the leading female character of which famous film of The 1960's ?\n", "labels": "psycho", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-6122b7aa165e4f5c98d9f122a8c1728c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Marita was the codename given to the German invasion of Yugoslavia and which other country?\n", "labels": "greece", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bb98112d765041ff9e612f6af39bc57c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The markka is the base unit of currency in which country?\n", "labels": "finland", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-00a888ea473747e0964861717879ddf5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was writer Mark Twain's real surname?\n", "labels": "clemens", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5dedc1ab34364b99a9154ff7887208d2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which county is the public school Marlborough College?\n", "labels": "wiltshire", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4a379ef3dd5f4ade8583b96395c8e028"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 1930 film instantly catapulted Marlene Dietrich to international stardom?\n", "labels": "the blue angel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-29591f58efa94607a6f68dd8efa27dd7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Marlin is the leading character in which movie?\n", "labels": "finding nemo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-244678125c9f4e88b0fd33c0953b5c29"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who plays the title role in the Alfred Hitchcock film `Marnie`?\n", "labels": "tippi hedren", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3cce619b6b6e48d9a52f3b16b15b2260"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the late 19th Century, who brought a libel action against the Marquess of Queensbury who won a counterclaim?\n", "labels": "oscar wilde", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-75d7137bee624ef0bd485ee5cbfe45b1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the Wiltshire house of the Marquis of Bath?\n", "labels": "longleat", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ae71c547da3c4c6895fd9425e730a08e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of NASA's robotic rover that landed on Mars this month?\n", "labels": "curiosity", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-3c5d3961a03845d8a95672852a4417c1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What marten, Martes zibellina, was a prized fur and erroneously a fine paintbrush?\n", "labels": "sable", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-20fe0d30499b469d958ac64ff861dc6e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Martha Dandridge was the 1st lady of which American President?\n", "labels": "george washington", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a574fd9d3d4643d89de1015c76dded41"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who defeated Martina Navratilova in her last Wimbledon Singles Final?\n", "labels": "conchita martinez", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5f6fa7a2e85c4646a99e3562ffc99014"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Gregory Peck, Robert Mitchum and Martin Balsam had cameo roles in the 1991 remake of what 1962 film in which they starred?\n", "labels": "cape fear", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-244615292c3147e69b9a714f9a6b234c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who shot Martin Luther King?\n", "labels": "james earl ray", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4f9643052e3945dea175cc008b355bef"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which film series featured the character Martin Riggs?\n", "labels": "lethal weapon", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c858408526e745e1bee8582c3608c8e8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the title of Martin Scorsese's 2008 documentary about the Rolling Stones?\n", "labels": "shine a light", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d2e0e230baee4758937bb16afec5a589"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which film would you first have come across the character of Marty McFly?\n", "labels": "back to the future", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e23e0c13af4543a98c956d18fab70518"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which of the Marx brothers was the silent one?\n", "labels": "harpo", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-18f2c1c44c3249c0b6f47267155087bd"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: American real estate developer and rancher Mary Anderson is credited with inventing which operational part of a car in 1903?\n", "labels": "windscreen wiper", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-ab28158eb05e48a186cf5e4bb3189ab6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Living from 1537 to 1608, Mary Arden (her maiden name) was the mother of which famous British playwright?\n", "labels": "william shakespeare", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-963b4ae0da134af9a25e0dba434a6a69"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mary Baker Eddy founded which religion?\n", "labels": "christian science", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fea08056a53e42db8843fe0dc97014df"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which performer's signature tune was 'Mary From The Dairy'?\n", "labels": "max miller", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-02e35981b01f4811a7874c0f323b2870"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: From what illness did Mary II die in 1694?\n", "labels": "smallpox", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8e2bcaf025aa4091a8e6f2a4fa69b584"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was the husband of Mary I of England, also known as Mary Tudor?\n", "labels": "philip ii of spain", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-04af947ed11e44dda31b08faa0bf3b9b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the state food of Maryland?\n", "labels": "blue crab", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d28cb3682e9645929675461d9b9a56d4"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What name is given to a depiction of Mary holding the dead body of Christ?\n", "labels": "pieta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-582bc125504e423c8ca883367aaf302b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which British king married Mary of Teck?\n", "labels": "george v", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-06926667ed334630aa98521ae8a17d78"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In 1913, New York socialite Mary Phelps Jacob created which first modern item of clothing out of two silk handkerchiefs?\n", "labels": "bra", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-da653b50d4384c91bed26d733ecbdf0f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Tennis player Mary Pierce was born in which country in January 1975?\n", "labels": "canada", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-dd55a53cf69f43edb53b547ba78571d7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which retail guru presented the TV series Mary Queen of Shops ?\n", "labels": "mary portas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-10cb89d735d84e8d8d0e049b4d8166c3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Best selling author, Mary Westmacott, is better known as whom?\n", "labels": "agatha christie", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a441faa2f5b841aa8a7694acc368f701"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What better name is Mary Westmacott better known?\n", "labels": "agatha christie", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9ef9b77efb2b4ce3bfd4bb43631348b0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which famous British author used the pen name Mary Westmacott?\n", "labels": "agatha christie", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f04aa467fca34bf7ade3b692b73d99bc"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Hotlips Houlihan in the 1972 film MASH?\n", "labels": "sally kellerman", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5f7464d8299f4f38a9ebd19c8cbb0964"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who wrote the tragedy-opera The Masked Ball (Ballo in Maschera)?\n", "labels": "giuseppe verdi", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fabf6ad6bfec486e88f579f5131b6ff3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What sort of drink is matcha?\n", "labels": "green tea", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7ff5feb968344783b0702a5192fe0e23"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which Football League Division One club's ground is the Matchroom Stadium?\n", "labels": "leyton orient f.c.", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f1ceb0ac33b149b68a25bf6b1bfea80b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which 17th century French philosopher, mathematician, scientist, and writer showed, by using geometric construction and the law of refraction, that the angular radius of a rainbow is 42 degrees?\n", "labels": "rene descartes", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-5875db8874b546948f58cb6d50b2105a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: To which school of art did Matisse and Vlaminck belong?\n", "labels": "fauvism", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-74d0673adf324e14bad977ad89597b74"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who tries to save the world from virtual reality in The Matrix?\n", "labels": "keanu reeves", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-27866c9029214baead5990aca19de57e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the third film in The Matrix series called?\n", "labels": "the matrix revolutions", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2fdf9b770562424a915cff0cb632c31a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mattel Inc closed its vast flagship retail store for what iconic product/brand in Shanghai, China, two years after its launch in 2009?\n", "labels": "barbie", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-933afabca4f6437c82f2ad1eb8d9a3ca"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In what mountain range would you find the Matterhorn?\n", "labels": "pennine alps", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4679de0b81744f5bbed74baa070535e9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Squadron Leader Peter Carter, who cheated death, in the 1946 film 'A Matter of Life and Death'?\n", "labels": "david niven", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d0725bde76fc470f88830131ef9adb4e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which `Sex and the City` star is actor Matthew Broderick married to?\n", "labels": "sarah jessica parker", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4dfbc31ddb7a4bd49ddb5d34d23ecda2"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Matthew McConaughey won an Oscar in 2014 for his role in what movie?\n", "labels": "dallas buyers club", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d84ccf7ea90c4854918b02b5ba5d5c8e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In the book 'The Lion, The Witch and The Wardrobe' by C.S. Lewis, what type of creature is Maugrim?\n", "labels": "gray wolf", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8a43613157474f878b6be9efaf868ad3"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The film actor Maurice Micklewhite is better known by what name?\n", "labels": "michael caine", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-cae95fda238f45ebba6294b7fe714e90"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: One of the 'Seven Wonders of the Ancient World' was the Mausoleum at Halicarnassus. Near which modern tourist resort is the site located?\n", "labels": "bodrum", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8f1c1ee07c22403b996338db4a945336"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which twice-made movie features the villain Max Cady?\n", "labels": "cape fear", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-21a66143b3ca42c889f392ab13a90a4f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Grace Jones played May Day in which film?\n", "labels": "a view to a kill", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-50d824464fea453ead0bcca8d3b12c6a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who was elected Mayor of New York City in 2001?\n", "labels": "michael bloomberg", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-733c1ee146b643c989f28e08cf5c6f8f"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who won a third term as Mayor of New York City in 2009?\n", "labels": "michael bloomberg", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-32258bb9d6eb4740bd84bc12d3540fea"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played Sheriff Sam McCloud in the 1970s TV series McCloud?\n", "labels": "dennis weaver", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4cc951310fa54a4a83ce3bd0f0341841"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who played the title role in the 1970s TV series McCloud, about a cowboy policeman working in New York?\n", "labels": "dennis weaver", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7d028af5bacc418f82bfabe6ea9ebba9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What unit of length is defined as the mean distance between the earth and the sun (approximately 149,597,871 km)?\n", "labels": "astronomical unit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-79364fe3935348b69eb06402598a9bb7"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Name the only US president who has won the medal of honor.?\n", "labels": "theodore roosevelt", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-81dc93cef923467da1c5e729a1f5a581"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: On which Mediterranean island are the Nebrodi mountains?\n", "labels": "sicily", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-825e75a8b33b4aa0b7c1856ff59232ae"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: For which 1988 Mike Nicholls directed film was Melanie Griffith nominated for a Best Actress Oscar?\n", "labels": "working girl", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-43fec584df044d24af190098ebb7fed1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: In which book does the character Melanie Wilkes appear?\n", "labels": "gone with the wind", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2cbaf6f895fa4230b0be0d5313d6b3f0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Melissa Joan Hart plays which TV character (the same as the Roman name for the River Severn)?\n", "labels": "sabrina", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-f5e2dfa0d1674cbab78cffff27990a2e"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What is the name of the arts programme made for British television from 1978 that is identified with Melvyn Bragg?\n", "labels": "the south bank show", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-512c162724404285b69f5f2620296d04"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Memoirs Of A Woman Of Pleasure' is the original title of which frequently banned book?\n", "labels": "fanny hill", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bf6c775c34194bff876f391538139cdf"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Published in 1992, which American author wrote the famous book Men Are From Mars Women Are From Venus ?\n", "labels": "john gray", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-b7cca9f4144a46db8cde9e9b020fe0f9"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which group won the Mercury Prize in 2008 for their album 'The Seldom Seen Kid'?\n", "labels": "elbow", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-06676c784710484194ce0fc0cef5d734"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Mercutio and Tybalt appear in which Shakespeare play?\n", "labels": "romeo and juliet", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-a68810cbbc2949efbf65c12308da44b1"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What kind of creatures are Sam, Merry and Pippin in the Lord of the Rings trilogy?\n", "labels": "hobbit", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-92b072e212a742b19bf0f1a4093ad4a5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Used as an alloy in making high-speed cutting tools, mo is the symbol for what silver-white metallic element?\n", "labels": "molybdenum", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7a3e4098d8df4fb9af53ad56341ad418"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Invar is an alloy chiefly consisting of iron and which other metallic element?\n", "labels": "nickel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-54f7ea26f6a244868e6dc3db9f053047"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Calamine is the chief ore of which metallic element?\n", "labels": "zinc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-1ce8c6e9fdd246d4962e83e3727f546c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: 'Quicksilver' is another name for which metallic element?\n", "labels": "mercury", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-c3ab58182be242d1afc5e38c06bb0d25"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: With the Atomic Number 3, which is the first metal in the Periodic Table of elements?\n", "labels": "lithium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bcaea3262dec411f801f5f1b060c1a1d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which metal is alloyed with iron to make Stainless Steel?\n", "labels": "chromium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eacfb99e45d14d45bfb6d23f4e9eb02a"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: The salts of which metal are used in the manufacture of calamine lotion?\n", "labels": "zinc", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-4b66e3dd203f416cbe7da29a224ba25c"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What chemical element with atomic number 55 is a soft, silvery-gold alkali metal with a melting point of 28 C (83 F), and one of only five metals that are liquid at or near room temperature?\n", "labels": "caesium", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-8f4755b87c574b12a8696ac7de59292d"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who formulated the theory of metaphysical painting?\n", "labels": "giorgio de chirico", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-02dd2fc389414696962f8444940bd5af"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Who founded The Metropolitan Police?\n", "labels": "robert peel", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-2dee3ec7c24d4c288388ad3ce6ada243"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which breed of dog takes its name from a state in Mexico?\n", "labels": "chihuahua", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e89dbff6bc684896a95bf07a43c834ba"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which country declared war on Mexico on 13 May 1846?\n", "labels": "united states", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-50825741fed342a496156f7817a9bfae"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Michael Aspel, Michael Parkinson, and Tim Clark have all hosted which TV game show?\n", "labels": "give us a clue", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-662e8abef01c428ca2fbaa81e2d861c5"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was Britain's 1992 Eurovision Song Contest entry sang by Michael Ball?\n", "labels": "one step out of time", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-7553c3f91121460da492e14ad9d409c0"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Michael Caine appeared as which character in 5 films?\n", "labels": "harry palmer", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-bb653de7d5094b8b9c9175069f04237b"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which movie starred Michael Caine as a murderous transvestite psychiatrist?\n", "labels": "dressed to kill", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-03e3679793d74fd3b68b64df6c691099"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of the character played by Michael Caine in a 2009 film, an elderly former Royal Marine and Northern Ireland veteran who tries to be indifferent about his violent neighbourhood on an Elephant and Castle housing estate?\n", "labels": "harry brown", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-0c6641fb8191434cb803f711ebcc6673"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: What was the name of Michael Jackson's second wife?\n", "labels": "debbie rowe", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-9417aa0629fc48da8e8e4e55e598b338"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Michael Jordan played for which NBA team from 1984 to 1998, except for a season of retirement in 1993-94?\n", "labels": "chicago bulls", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-fce94f1bcc8f45188a5e49694760dcb6"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Whish 1996 multi Oscar winning film was based on a novel by Michael Ondaatje?\n", "labels": "the english patient", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-befc88360eb34607b387d730ddd51911"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Michael Winner was famous as the director of which series of films?\n", "labels": "death wish", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-d9f825a366ea474ba361e66d504cb4a8"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: ln 1972, Laslo Toth damaged which sculpture of 1499, by Michelangelo in St Peter's, Rome?\n", "labels": "pieta", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-eea0849424a34b739ebbf80a81f1c462"}, {"text": "Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.\nInput: Which American band, formed in 1965, included amongst its members John and Michelle Phillips?\n", "labels": "the mamas & the papas", "task_name": "task898_freebase_qa_answer_generation", "task_category": "question_answering", "id": "task898-e6c7f278b5a0418680e193ba757c4449"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which movie did Bogart have his first gangster part?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Helena Bonham Carter and Meat Loaf appear in which 1999 film starring Brad Pitt?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which 1998 film, starring Lynn Redgrave, Ian McKellan and Brendan Fraser centred on the life of film director James Whale?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which TV series had characters called Dougal, Zebedee, Brian, Ermintrude, Dylan, Florence and Mr Rusty?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The film, Bridget Jones's Diary was based on the novel by which English authoress?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In Which We Serve, This Happy Breed and Brief Encounter are early films by which director?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Name actor Von Ryan's Express, The Third Man, Brief Encounter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actress appeared in the film Calendar Girls and the remake of Brighton Rock?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which film star (of Brokeback Mountain fame) died on 22 Jan 2008?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who wrote the short story on which the 2006 film 'Brokeback Mountain was based?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the name of Bruce Willis` character in `Die Hard`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which film originated the obsession/jealousy term 'bunny boiler'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who is the central female character in the musical 'Cabaret'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays Calvin J Candie in the 2012 film 'Django Unchained'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played King Arthur in the 1967 musical film Camelot?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who made a cameo appearance in Die Another Day as fencing instructor Verity?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays Captain Kirk in the 2013 Star Trek film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "For an American Express ad, Tiger Woods once donned the role of Carl Spackler, a character from what 1980 comedy set at the Bushwood Country Club?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played the title role in the film 'Carry On, Columbus'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Joan Fussey, Miss Haggard and Josh Fiddler are all characters in which 'Carry On' film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which was the second Carry on film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which film did Sharon Stone play the character 'Catherine Tramell?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played 'Harvey 'Big Daddy' Pollitt' in the 1958 film 'Cat On A Hot Tin Roof'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What sport features in the films `He Got Game` (1998), `Flubber` (1997) and `Celtic Pride` (1996)?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which film starring Clark Gable and Charles Laughton was set mainly on a ship at sea?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Charlie in the 2005 film Charlie and the Chocolate Factory?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Now say Chatillon, what would France with us is the opening line in which Shakespeare play?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actor starred in the films The China Syndrome and Disclosure?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who directed the 1974 film `Chinatown`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What character did Christopher Lee play in two Star Wars movies?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "in which 1964 Gerry and the Pacemakers film did Cilla Black appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actor, possibly best known for his portrayal of Clark Griswald, hosted the American Acadamy Awards Ceremony in both 1987 and 1988?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the name of retired gunslinger, played by Clint Eastwood, in the 1992 film 'Unforgiven'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which film did Clint Eastwood play Will Munny?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which record-breaking film marked Clint Eastwood's directorial debut?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Clive Owen played Dwight in which 2005 film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played the title role in the 1992 film My Cousin Vinnie?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The Crocodile Hunter was a nickname given to what Australian naturalist, who was killed by a slightly irritated sting ray in 2006?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played the title role in the 1970 film 'Cromwell'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the official language of Cuba?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "As whom were John Belushi and Dan Ackroyd known in the title of a 1980 film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played the part of the vulcanologist who warned of impending disaster in the film 'Dantes Peak'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays Daphne in the 2002 film 'Scooby-Doo'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which Welsh actor portrays David Frost in the 2008 film, Frost/Nixon?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which 1957 film directed by David Lean was the story of the construction and demolition of a civil engineering work in Burma?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who was the director of the 2006 film The Da Vinci Code?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which cartoon character first appeared on screen in 'The Wise Little Hen' in 1934 and later in the 'Oscar' winning cartoon 'Der Fuhrer's Face' in 1942?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Whose plays included 'Design for Living' and 'Present Laughter'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which singer starred in the film `Desperately Seeking Susan`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actor provides the voice for Gru in the film Despicable Me?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which American actor played a submarine 'skipper' in the films 'Operation Petticoat' 1959 and 'Destination Tokyo'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who starred in Mogambo, Dial M For Murder, Rear Window and High Society before giving up her film career for marriage in 1956?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Can you name the singer of the title track for '1971 - Diamonds Are Forever'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Giacinta 'Jinx' Johnson in the 2002 James Bond film 'Die Another Day'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Name the character played by Bruce Willis in the 'Die Hard' films?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays the main villain in `Die Hard: With A Vengeance`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which sci-fi TV series did Dirk Benedict play Lieutenant Starbuck?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What city's police force employed Dirty Harry?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Edgar, Berlioz and Billy Boss are all characters in which animated Disney film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which Disney film is based on a work by Lewis Carroll?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What was Disney's first non animated live action film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which of these Disney films was released before the others?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Queen Grimhilde, Happy and Doc are all characters in which Disney film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Bond Girl Domino Petachi in Never Say Never Again?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Don Vito Corleone in the 1972 film The Godfather?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which famous film would first have come across the character of Dorothy Gale?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Jessica Tandy's son in the film Driving Miss Daisy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In the original Star Trek TV series that aired from 1966 to 1969, who played Dr. Leonard Bones McCoy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What character did Ursula Andress play in the Bond film Dr No?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "How were Dr Stantz, Dr Spengler and Dr Venkman better known in the 1980's?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who starred in the 1933 comedy satire film 'Duck Soup'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which Verdi opera opens with a banquet in the palace of the Duke of Mantua?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the title of the 1976 film about the Watergate Scandal, starring Robert Redford and Dustin Hoffman?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who wrote the novel 'The Eagle Has landed'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which US actor, who appeared in the film 'East of Eden', died in a car accident in 1955?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "US actor Ed Harris directed and starred in which 2000 film about an American artist?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Edith Piaf in the 2007 film 'La Vie En Rose'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Edward Norton, EricBana and Mark Ruffalo have all played which character on film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which 1973 British horror film, directed by Robin Hardy starring Edward Woodward and set on a remote Scottish island, was remade in 2006, directed by Neil LaBute and starring Nicolas Cage, set on an island in Puget Sound, Washington?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Eliot Ness in the 1987 film `The Untouchables`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Eliza Doolittle in the film `My Fair Lady`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In what movie did Elvis Presley play a Red Indian?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Telly Savalas played the role of Ernst Stavro Blofeld in which James Bond film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Esmeralda is the romantic interest in which Disney film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Whose early film roles included Estella, in David Lean's Great Expectations and Ophelia in Laurence Olivier's Hamlet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The film `Rogue Trader`, starring Ewan McGregor, is based around the life of which real life person?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who was the author of the best-selling novel on which the film The Exorcist was based?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Whose last film as a director was 'Eyes Wide Shut' in 1999?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Thumper, Flower and Faline are all fictional characters in which Disney film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "A 1999 movie starring Peter O'Toole as Father Damien had the name of what island of the Hawaiian archipelago as its title?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The novel For Whom the Bell Tolls was set during which war?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which character played by Janet Brown appears at the end of the Bond film For Your Eyes Only?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who wrote the screenplay for the 1994 film 'Four Weddings and a Funeral'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the name of the 2002 film directed by Steven Spielberg in which Leonardo DiCaprio starred as real life con man Frank Abagnale?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In June 2011, FBI arrested Boston mob boss James 'Whitey' Bulger near Los Angeles after a 16 year manhunt. He was the inspiration behind the character of Frank Costello in which Oscar-winning film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The film The French Connection is set in New York and which French city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which playwright wrote the screenplay for the 1982 film 'The French Lieutenant's Woman'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which film director, who died today in 1980, directed the films Marnie, Rear Window, The Trouble With Harry, and Frenzy, among many others?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What was the name of the 1927 film that was directed by Fritz Lang and featured a robot called Maria that inspired George Lucas to create the character C-3PO?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actor, who died in July 2012, made his film debut playing Fatso Judson who beat Frank Sinatra's character to death in 'From Here to Eternity'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who sang the theme song in the film 'From Russia with Love'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who directed the 1993 film `The Fugitive` Peter Weir, Andrew Davis or Wolfgang Peterson?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which film which stars John Hurt, Richard Burton (in his last film role) and Suzanna Hamilton is based on a book by George Orwell?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Played by George Takei, who was the helmsman on the USS Enterprise for the duration of the series?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Her real name was Virginia Katherine McMath, but this famous actress and dancing star of many films, which included Gold Diggers of 1933, was better known by what name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays the part of Princess Grace in the 2014 film 'Grace of Monaco'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Grace Kelly met Prince Rainier whilst filming which movie in Monaco?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays the title character in the 2013 remake of 'The Great Gatsby'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays the part Green Lantern in the 2011 film 'Green Lantern'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The 1999 film, 'The Green Mile' was directed by whom?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which Grimm's fairy tale does a prince climb up a maiden's hair?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which 1991 film, starring River Phoenix and Keanu Reeves, and written and directed by Gus van Sant, was loosely based on Shakespeare's 'Henry IV, Part I'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Gwyneth Paltrow played which American poet in a 2003 film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played the title role and directed the 1948 film 'Hamlet'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who plays alcoholic John Hancock in the 2008 film 'Hancock'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The Sin of Harold Diddleback, 1947 was the last film of which silent film star?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which film features the characters Sally Albright and Harry Burns?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who had the part of Dirty Harry - hurt hand - dropped out?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Sally opposite Billy Crystal in the 1989 film, When Harry Met Sally?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the original title of the book translated into Spanish as 'Harry Potter y el Caliz de Fuego'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who wrote/directed the movies The Hateful Eight and Inglourious Basterds?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Who played Dolly Levi in the 1969 film 'Hello Dolly'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which English actor played Pinhead in eight of the 'Hellraiser' series of films?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Based on his nickname, what is the name of the next installment of the Superman movie series, staring Henry Cavill, slated to hit the theaters next year?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which real life law enforcer did Henry Fonda play in the film My Darling Clementine?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actor played the part of 'King Henry II' in both 'Becket' in 1964 and 'The Lion In Winter' in 1968?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "The Sapphire Affair of 1962 connected with the Cuban Missile Crisis was the basis of what similarly titled 1969 Hitchcock thriller?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What was Hitchcock's first film in colour?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "This actor is the youngest of 5 children, his great-grandfather was blind and a piano tuner and music teacher, he acts frequently with his wife, he won a Primetime Emmy Awards 2014 for Outstanding Actor, and among many films and TV series starred in the film version of The Hitchhikers Guide to the Galaxy; who is he?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which film does 'Holly Golightly' visit Mafia boss 'Sally Tomato' in Sing Sing Prison?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which actress played the 'Bond' girl Honeychile Ryder'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What was the name of the Bond girl played by Honor Blackman?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Which Bond girl was Honor Blackman?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which 1976 horror film did John Travolta appear with Sissy Spaceck?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which 1952 Howard Hawks film did Marilyn Monroe co-star with Cary Grant and Ginger Rogers?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "Starring Hugh Jackman and released in 2009, what is the title of the fourth film of the 'X-Men' series?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "What is the name of Humphrey Bogart's character in the film 'Casablanca'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: film\n", "labels": "In which country is the film The Hunchback of Notre Dame set?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76c8604071c14d749a6f04ffe439367a"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which American boxer was born Rocco Francis Marchegiano?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which boxer had the nickname `The Dark Destroyer`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which Scottish football league club play its home games at Broadwood Stadium?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "In which American city are the Bruins Ice Hockey team and the Celtics Basketball team based?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "In what sport would one use a carabiner and a piton?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "What US city is home to a basketball team called the Cavaliers and a football team called the Browns?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "In basketball where do the Celtics come from?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "What sport is played by the Cincinnati Bengals?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "In 1964, which English cricketer became the first bowler to take 300 Test wickets?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "With which sport would you associate Davis Love III?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "With what sport is Dennis Compton associated?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "The Detroit Redwings beat the Pittsburgh Penguins to win the 2008 Stanley Cup in which sport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Italian brothers Francesco and Edoardo Molinari play what sport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which cricketer captained England to a record 54 test matches in 2001?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Who captained England's last Ashes winning cricket team in Australia prior to their 2010 victory?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "The English football team played the World Cup Final in 1966 in what coloured shirts?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which team won the first English Premiership in 1992/93?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Since the foundation of the Football League which is the only team from outside the League (or Premier League) to win the FA Cup, doing so in 1901?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "The international body called FIFA administers which sport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which boxer bit both of Evander Holyfield's ears in a fight for the WBA World Heavyweight Championship on 28 June 1997?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "What was the first team sport included in the Olympic Games?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which is the only team that has never been relegated from the top tier (Premier or old First Division) of English football?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which Football League club was founded in 2004?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which English football club was nicknamed 'The Crazy Gang' by the media in the 1980's and 90's?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Who was the first professional footballer to be knighted?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Winning 126 caps between 1985 and 1998, who is Spain's most capped footballer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which Scottish football club is nicknamed The Arabs?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "The name of which football club is an anagram of 'Red Admiral'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "What are Philadelphia`s American Football team called?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "What sport do you associate with Francesco Molinari?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "What sport is played at an international level by ngel Cabrera, Jim Furyk, Retief Goosen, Stewart Cink, Pdraig Harrington, Sergio Garca, Henrik Stenson & Fred Funk?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which football team play at Goodison Park?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "The Green Bay Packers play at what storied stadium?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which Football League club moved into its new home in 2007 at the New Meadow, now known as the Greenhous Meadow for sponsorship purposes?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "With which sport would you associate Greg Le Mond?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "Which US Football team moved from the Three Rovers Stadium to the newly built Heinz Field in 2001 ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: sports\n", "labels": "If you were attending a 'local derby match' between HSV and St Pauli, in which city would you be?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f5271712b589452c8d6e91843da303a9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Brenda Ann Spencer's justification for opening fire at a San Diego school on January 29th 1979 inspired which song by The Boomtown Rats?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who resigned his army commission in 1858 to write music, such as the opera Boris Godunov and Pictures at an Exhibition?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Under what name does US singer-songwriter Elizabeth Grant perform, her albums include 'Born to Die' and 'Honeymoon'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Nick Carter first entered the pop charts as a member of which boy band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who topped the charts in 1996 with Breathe and Firestarter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Name the generally synthesized music genre pioneered by Brian Eno in the 1970s?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Brian May played guitar in which band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What Irish boyband formed in 1998 by Nicky Byrne, Kian Egan, Mark Feehily, Shane Filan and Brian McFadden became the 3rd biggest selling pop band worldwide and biggest selling band of 2000-2009, with 14 number 1 singles in the UK?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the theme music from Bridge on the River Kwai?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the name of Britney Spears` first hit single?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which band had a hit with the song 'Brown Girl in the Ring'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who was Elton John's collaborator in most of his early hits, such as Yellow Brick Road, Candle In The Wind, etc.?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a hit album in 2010 with Can't Be Tamed?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who released her debut album `Can`t Take Me Home` in 2000?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which country does Carly Rae Jepsen come from?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "How were Plcido Domingo, Jos Carreras and Luciano Pavarotti known collectively?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "US soul duo Brian Joseph Burton (Danger Mouse) and Cee Lo Green are better known by what name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the stage name of Jiles Perry Richardson, Jr., a singer and songwriter from 1957 until his accidental death in 1959, who is best known for his recording of Chantilly Lace?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Chasing Pavements in 2008 and Rolling in the Deep in 2010 both reached Number Two in the UK singles chart for which singer before she had her first Number One?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "In 1985, Barbara Dickson released I Know Him So Well from the musical Chess, which remains the biggest-selling record by a female duo, with what other singer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Born in Argentina in 1942, which pianist and conductor has been has been music director of the Berlin State Opera since 1992, and was music director of the Chicago Symphony Orchestra from 1991 to 2006?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who was the forefather of the style known as Chicano Rock?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which British composer wrote 'A Child Of Our Time' incorporating Negro spirituals, in 1941?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Chris Difford and Glenn Tilbrook founded which band in 1974?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Chris Martin is the lead singer with which band who had several hits in the 2000s?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Chris Martin is the lead vocalist and rhythm guitarist with which group?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which band has Chris Martin as the lead singer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the Christmas Oratorio and The Coffee Cantata?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was Cliff Richard's first UK top ten hit?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What song did Cliff Richard sing in the 1973 Eurovision Song Contest in which he came third?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was Cliff Richard's first UK number one single in 1959?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the Clock Symphony?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who featured on the 2010 Flo Rida hit Club Can't Handle Me?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had hits in the 1950s with Teenage Heaven and C'mon Everybody?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What instrument does Will Champion play in the band Coldplay?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which Cole Porter musical of 1934 includes the songs You're the Top and I Get a Kick Out of You?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which band had a hit 2010 album with Come Around Sundown?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the last top ten hit for Connie Francis?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Crash, rise and hi-hat are all types of which musical instrument?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Crazy Arms was a breakthrough hit for whom?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who teamed up with Kesha on the 2013 hit Crazy Kids?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who was the lead singer with Cream?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which fictitious riverboat gave Credence Clearwater Revival their first hit single in Britain?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Reaching number 7 in the charts in 1993, 'Creep' was the first UK top ten hit for which group?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Cry Cry Cry was the first single released by whom?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a top ten hit in the UK with Cupid in 1961?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "In which country did the dance The Czardas originate?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which British composer wrote The Dam Busters March?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Kabuki, a form of highly stylised song, mime and dance originated in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the orchestral work Danse Macabre?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which band released the album `Dark Side of the Moon`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Dave Brock has been leader of which psychedelic rock group for over 40 years?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which rock group was founded in Seattle in 1994 by David Grohl after the break-up of Nirvana?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Thereze Bazar and David van Day were better known as which duo?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Micky Dolenz, Michael Nesmith, Peter Tork, and Davy Jones were the members of which band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which singer/songwriter, who began releasing hit singles in 1958, has had 3 albums (The Definitive Collection, Waking Up Is Hard to Do & The Music of My Life) on Billboard's Top 200 Albums chart between 2007 & 2010?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which Delta blues musician, according to legend, met the Devil at a crossroad and received mastery of the guitar in return for his soul?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which legendary singer released Desert Rose in 2000?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which US No 1 single came from Diana Ross's platinum album Diana?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which entertainer uses various names, including Puff Daddy, P. Diddy and Diddy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What is the name of Liam Gallagher's new band, whose first album is 'Different Gear, Still Speeding'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who were Diggin on You in 1996?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which album by Dire Straits was the best-selling album of 1985?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "In 1991, Gerry Anderson directed the video for which Dire Straits album, which featured Thunderbirds puppets?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who are the best-selling disco group of all time?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": " 'The Divine Miss M' was the debut album of which US singer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "'Dizzy' was a UK No.1 in April 1969 for who?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the title of Doctor And The Medics only number one hit single?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had their biggest British hit with 'Don't Leave Me This Way' in 1986?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Whose only UK chart-topping single was called 'Don't You Want Me'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who sang the 'Dance version' of Petula Clarke's hit 'Downtown' and reached the top ten in 1988?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which group had a 1978 UK No. 1 hit with Dreadlock Holiday?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which singer rose to fame as a member of the boy band Dream Street before voicing Theodore in the Chimpunks movies?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which band released the albums Hotter Than Hell and Dressed to Kill?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which `Ian` featured on the Madness song `Drip Fed Fred`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who was guest drummer for Led Zeppelin at the Live Aid concert in 1985?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who was the drummer with the 1970's rock band 'Led Zepplin'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which of these tracks was a hit for Duane Eddy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "The opera Duke Bluebeard's Castle and the ballet The Wooden Prince are the works of which composer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was Dusty Springfield's first No. 1 hit?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Earth Angel (Will You Be Mine) is the most notable hit for?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Eddie Vedder was the lead singer with which 1990s band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had hit records with Eh Eh, Let's Dance and Poker Face?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a not hit in 1983 with the song 'Electric Avenue'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who wrote the operas Salome and Elektra?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who released a 2009 album entitled 'The Element of Freedom'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which of these number one Elvis Albums was released BEFORE the others?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which of these Elvis Songs was a number 1 BEFORE the others?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which cover of an Elvis song gave the Pet Shop Boys a number one in 1987?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the title of Elvis Presley`s first British number 1?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which Elvis Presley hit was simply 'O Sole Mio' with a new lyric?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which British composer was working on an operetta called The Emerald Isle at the time of his death in 1900?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the opera 'Emilia di Liverpool' in 1824?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which 'Eminem and Rhianna' hit was the UK's best selling single of 2010?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who duetted on Endless Love with Diana Ross in 1981?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the Enigma Variations?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Brothers O'Kelly, Rudolph, Ernie, and Marvin were founder members of which US group?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Errol Brown who died last month was best known as a member of which band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the opera Eugene Onegin?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which Scotswoman is an Oscar, Brit and Grammy award-winning pop musician and vocalist who, after 3 years as lead singer of The Tourists, formed the duo Eurythmics with British musician Dave Stewart?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Dame Evelyn Glennie, who is profoundly deaf, is a world-renowned what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which of these was the title of a 1959 Everly Brothers song?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who wrote `Everytime You Go Away` which was a successful hit for Paul Young?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a UK No.1 hit with the instrumental 'Eye Level' in 1973?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "In which country fid Fado music originate?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which composer wrote the opera 'Falstaff', based on the Shakespeare play 'The Merry wives of Windsor'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "The Family Stone backed up what San Francisco funk and soul singer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who wrote the opera Faust in 1859?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was the stage name of jazz pianist Ferdinand Joseph LaMothe?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "At the 2002 `Top Of The Pops` awards, which singer won the best tour award for her `Fever` tour?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who of these is most associated with Fleetwood Mac?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which member of the woodwind family of musical instruments, a sort of half-sized flute, gets its name from the Italian for small?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which is the smallest instrument in the flute family?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which is the smallest member of the flute family?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which groups first UK top ten hit was `Follow You, Follow Me` in 1978?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who wrote the violin concertos The Four Seasons?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "With which instrument do you associate jazz musician Freddie Hubbard?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which long running TV series was introduced by a piece of music, entitled, The Funeral March of a Marionette, by Gounod?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a hit in 2012 with the song and video 'Gangnam Style'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who composed the music for the opera The Thieving Magpie (La Gazza Ladra)?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which 1968 album released by George Harrison is notable for being the first official solo album by one of The Beatles?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which American composer wrote the music for the songs Stardust and Georgia on my Mind?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which Austrian composer wrote the music for the German National Anthem?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which composer, who lived from 1732-1809, wrote the music now used for the German national anthem?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which French electronic dance music duo had a UK Number Number One single in 2013 with 'Get Lucky'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Getting to Know You is a song from which film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which European city is home to the Gewandhaus Orchestra?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Baby, Ginger, Scary, Sporty and Posh were all members of which girl band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "In which country does The Girl From Ipanema live?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who formed the band called The Tin Machine, that ran from 1988 to 1992, primarily to play for the Glass Spider world tour?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who created the 1970s persona Thin White Duke, and subsequent brands Glass Spider and Tin Machine?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Band leader Glenn Miller also played which instrument?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Glenn Miller, famous as a band leader in the 1930s & 1940s, played which instrument?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which Russian composed God Bless America?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Waylon Jennings song `Good Ol Boys` was used as the theme tune to which TV show?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a number one in the eighties with Green Door?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What colour is the Crush, a song from the 1988 album 'Green' by REM?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which opera did Guiseppe Verdi supposedly compose for the opening of the Suez Canal?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Guy Garvey is a singer with which band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Hailey Williams is the lead singer with which current pop band?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who wrote the much covered and 2008 hit song Hallelujah?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who wrote the 1893 opera 'Hansel and Gretel'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which singer played the lead in the 1972 film, The Harder they Come?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which group had hits in the 80s with `Harvest For The World` and `Ideal World`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which veteran rock singer released the album The Healing Game in 1997?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "The song `The Heat Is On` by Glen Frey feature on the soundtrack to what 1984 film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "'Hello darkness my old friend' are the first words of which Simon and Garfunkel song?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which group from Liverpool had a hit single with Hello Little Girl?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Based on a mythological tale, which 1689 opera by Henry Purcell is considered by many to be the first English-language operatic masterpiece?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "The wedding processional known as Here Comes the Bride is by which famous composer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Although they are best known for their only number one hit, 'Mr. Raffles' and 'Here Comes The Sun' were other chart singles for which '70's group?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which band had a 2004 hit with Here Without You?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who originally fronted Herman's Hermits?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who was the lead singer in Herman's Hermits?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Hey There and Hernando's Hideaway are songs from which stage & film musical?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "What was on the B side of the Beatles 1968 Hey Jude?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "High School Confidential was a hit penned by whom?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who had a number one in the seventies with Hit Me With Your Rhythm Stick?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Holding Back the Years, was a US No 1 hit record for which British pop group?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Who featured on the 2013 Jay Z hit Holy Grail?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which group released the album 'A Hundred Million Suns'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: music\n", "labels": "Which classical composer wrote the 19 'Hungarian Rhapsodies' for piano?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ed8b900996294072971478dd823c5c19"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who plays Boycie in Fools and Horses?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which American actor and singer has joined Amanda Holden as one of the judges on the current series of 'Britain's Got Talent'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "In 'Brookside', which actress, later to become the star of many TV dramas, played the part of 'Heather Huntingdon' who became 'Heather Haversham', who became 'Heather Black'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which 90s sci fi series with James Belushi was based on Bruce Wagner's comic strip of the same name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played the part of Budgie in the 1970's drama series?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who starred as Buffy the Vampire Slayer in the US TV series?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which detective lived in Cabot Cove Maine?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which TV soap opera features a police officer called Calvin Valentine?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actor provided the television voice for 'Captain Scarlet'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "What Carl Sagan television series was resurrected in 2014 with Neil deGrasse Tyson as host?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Cartman is a character on what TV show?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played Catherine of Aragon in 'The Six Wives of Henry VIII' AND Queen Victoria in 'Edward VII'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which ex-World Heavyweight Champion boxer signed up for Celebrity Big Brother 2014?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Suzy Perry is a presenter on which Channel 5 programme?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "In which TV 'soap' did the character Charlene Mitchell appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played 'Sabrina Duncan' in the 1970's TV series 'Charlie's Angels'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "In the tv show Charmed, what was the name of the eldest sister (played by Shannen Doherty) who was killed off at the end of Season 3?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who plays the detective `Columbo` on TV?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who plays Michael Rodwell in Coronation Street?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which star of the 1970's sitcom 'The Fall and Rise of Reginald Perrin' has been a regular in 'Coronation Street' since the 1980's?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who created the radio/TV character Count Arthur Strong?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who took over as presenter of Countdown from Des O`Connor in 2009?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who replaced Jeff Stelling as host of Channel 4's Countdown?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Count Duckula was a spinoff from which other children's animated series?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actor was a Dad's Army regular and also appeared in the film 'Ben Hur'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "What American TV serial, first broadcast between April 1990 and June 1991, followed an investigation headed by Special Agent Dale Cooper?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "On what TV show would you see Daleks saying exterminate?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Patrick Duffy played which character in 'Dallas'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "In which American sitcom did the character Dan Conner appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Holly Hagan, Scott Timlin, Vicky Pattison and Daniel Thomas-Tuck have all appeared in which UK television reality show?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which Lancashire actress played the part of 'Daphne Moon' in 'Frasier'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played Mr Darcy in the 1995 BBC adaptation of the Pride and Prejudice?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actor used the word Perfik in The Darling Buds of May?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "David Vine, David Coleman and Sue Barker have all hosted which BBC television quiz show?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "The 'Autobots' and the 'Decepticons' are the main factions of which toy line?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which comedian partnered Robert Powell in the TV comedy series `The Detectives`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played the part of Dr Mark Sloan in the TV series Diagnosis Murder?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which popular Doctor Who villains, it was revealed in 2011, are to be given 'a rest' by scriptwriters?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played Martha Jones in the UK tv series Doctor Who?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which Bolton-born woman, the founder of Pall-Ex Ltd, replaced James Caan on BBC's Dragons Den?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which executive producer of Dream On is well known for films such as Trading Places?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actor played Dr Who between 1974 and 1980?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which 'Dr. Who' actor came between Patrick Troughton and Tom Baker?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "What British sitcom features Edina Monsoon and Patsy Stone, immature, prosperous, preposterous, substance-abusing fashion obsessed Londoners who value fame and style over substance?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which TV series was about a pop group called The Majestics featuring Robbie Coltrane and Emma Thompson?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actress, who appeared in 'Emmerdale' for just over a year until January, has written a memoir of a year in her life called 'Where Have I Gone'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actor returned to ER in 2009 to huge acclaim?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which one of these characters is from the TV series ER?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Who played Manuel in `Fawlty Towers`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "The Simpsons is the longest running animated series in TV history. What show that aired on Fox is the second longest?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "What diminutive actor stars as Frank Reynolds in It's Alway Sunny in Philadelphia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actor pursued 'Dr. Richard Kimble' in the TV series 'The Fugitive'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "What was the first name of the character played by Geoffrey Hughes in the TV sitcom Keeping Up Appearances'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Produced in the UK between 1961 and 1962, what was the first UK Gerry Anderson series to be shown overseas?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "In which TV cop series of the 1980's, did Michael Brandon and Glynis Barber play the lead roles?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which British presenter spoke the first words on GMTV when it was launched in January 1993?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "The last episode of which long running T.V. series was entitled Goodbye, Farewell and Amen?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which actress enjoyed the Good Life then went Solo?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which TV series featuring British celebrity chef Gordon Ramsay that debuted in 2004 shows him visiting a failing restaurant and try to improve it in one week?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "'Gourmet Night' and 'The Kipper and the Corpse' were the titles of episodes from which TV series ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which English producer and screenwriter is responsible for the creation of the fictional school Grange Hill ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "What was the name of Matt Dillon's limping deputy in Gunsmoke?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Kate Philips played which wife of Henry VIII in 'Wolf Hall'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which British musician hosts their Annual Hootenanny on television on New Year's Eve?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "In the 1960's TV series 'Bonanza', which actor played the part of 'Hoss Cartwright'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tv\n", "labels": "Which British comedian and actor played Dr Gregory House in the US TV series House?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-17e771d84cc44cdc9f4fc6ab5aa6360d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "If you were on holiday at the coastal resort of Bodrum, which country would you be in?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which European country is Lake Bolsena?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the name of the estuary north of Bordeaux in SW France, formed by the confluence of the Garonne and Dordogne rivers ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The home of the drink called bourbon is Bourbon County. What state of the USA is it in?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which composer was born in Bradford in 1862?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the name of Heston Blumenthal's restaurant in Bray, Berkshire?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Before it was moved to the purpose-built city of Brasilia, what city was Brazil's capital?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is Brazil's most widely-spoken language?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which Bristol born, Oxford educated poet was appointed Poet Laureate by George III in 1813 on the refusal by Walter Scott?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Britain's oldest working theatre, built in 1766, is called the 'Old Vic', in which city is it?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What Canadian province lies between British Columbia and Saskatchewan?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which British Prime Minister was born at 54 Albion Road, Broadstairs, Kent on July 9th 1916 ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Ivy League member Brown University is situated in which US state?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which British monarch is the only one to have been born at Buckingham Palace?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "King Rama and Queen Sirikit rule which country (at 2012), bordered by Burma, Laos, and Cambodia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which Irish county is the extensive area of limestone pavement known as The Burren?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Cagayan River is the largest river in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "America, the Pacific coast: which state is between Washington and California?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which American University is situated in Cambridge,Massachusetts?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "With a population of over one and a half million inhabitants, what is the capital city of Cameroon?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Nou Camp Football Stadium is in which Spanish city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Canada?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Apart from English, what is the official language of Canada?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the largest city in the province of Saskatchewan, Canada?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What Canadian province is due north of Washington state?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which London borough is Canary Wharf?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which U.S. state is Cape Canaveral located?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which of the United States is Cape Cod?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which U.S. state would you find Cape Cod?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "On which island is Nassau, the capital of the Bahamas?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the state capital of West Virginia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which US state are the Catskill Mountains?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Catskill Mountains lie mainly in which state?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Central Park is in which borough?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which county is the Cerne Abbas Giant?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital city of Chechnya?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Chechnya?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which European city would you have found Checkpoint Charlie?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The 66 mile long Shropshire Union Canal links the city of Wolverhampton to which town situated in Cheshire?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Chihauhau dog derives it's name from a town in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the official language of Chile?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of China?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which country on the east coast of the Bay of Bengal is bordered by China, Laos, Thailand, Bangladesh and Nepal?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the largest city in China, which is thought to be the most densely populated area in the world?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Wembley Stadium is in what city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The counties of Clinton, Delaware, Erie, Essex, Franklin, Jefferson, Madison, Nassau, Ontario, Orange, Orleans, Saratoga, Seneca, Ulster, Washington, Westchester and Wyoming are in what state of the USA?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Cluj-Napoca and Timisoara are respectively the second and third biggest cities in which European country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The CN Tower is in which Canadian city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which river begins in the Rocky Mountains in south-west Colorado, crosses New Mexico and forms the border between Mexico and the USA before reaching the Gulf of Mexico?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which university was founded at Connecticut in 1942?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Copo and the Laguna Blanco National Parks are in which South American country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which province of Ireland comprises the counties of Clare, Kerry, Cork, Tipperary, Limerick and Waterford?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which river flows through Cork City where it splits in two for a short distance, creating an island on which Cork's city centre is built?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The islands of Malta, Sardinia, Sicily and Corsica are in which Sea?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Costa Rica?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Costa Smeralda (or Emerald Coast) is a feature of which Mediterranean island?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Ecuador has a border with Peru and which other country ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In the Republic of Ireland, in which town or city are the administrative HQ for the County of Kerry?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which RAF base is located on Cyprus?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The 'Daiquiri' cocktail was named after a town in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "A church in Daresbury has a stained-glass window featuring a rabbit, a dodo and a lizard, because which man was born there in 1832, while his father was the parson?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which city is the 'Sixth Floor Museum' at Dealey Plaza?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Delamere Forest is in which English county?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which English city is De Montfort University?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which US state is Denali National Park?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Detroit born Diana Earle became famous under which name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which state donated the land occupied by the US capital city, Washington, District of Columbia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which African country has Dodoma as its capital?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Dover is the State Capitol of which US state?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The name of which person born in Dublin is connected in English history with the locations of Vimiero, Talavera, Salamanca, Vittoria, Orthes and Waterloo?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which famous English painter (1776-1837) was born in East Bergholt, Suffolk?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Easter island is a dependency of which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Hawaii, Easter Island and New Zealand are the three vertices of a hypothetical triangle used to designate what geographic region/area?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Prince Edward Islands in the Indian ocean are part of which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Egypt?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which city in Egypt has been characterised as the 'world's greatest open air museum' and contains the ruins of the temple complexes at Karnak as well as monuments that include the Valley of the Kings and the Valley of the Queens?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What canal opened in Egypt?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which country is El Alamein?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Formerly known as the Ellice Islands, in the Pacific Ocean between Hawaii and Australia, what nation owns the commercially available internet top-level domain .tv?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which town in Southern England is home to the Royal National Lifeboat Institution ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Meadowhall Retail Park is in which English city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Of which Irish county is Ennis the county town?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The ancient cities of Troy and Ephesus can be found in which modern-day country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Great Lakes are called Superior, Erie, Ontario and which other?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which country in Europe has the oldest Parliament?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Lake Louise and Fairview Mountain are tourist attractions in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which sea area is adjacent to Rockall, Sole and Fastnet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capitol of Fiji?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What was the currency of Finland between 1860 and 2002?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Finland has two official languages. Finnish is one. What is the other?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Milford Sound in Fiordland National Park that was once judged the world's top travel destination is in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Six states in the USA are split between two time zones, Eastern and Central. They are Florida, Indiana, Kentucky, Michigan, Tennessee and which other?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "On what bay does St. Petersburg, Florida lie?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which island's capital is Flying Fish Cove?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which city, home to the tallest and largest Gothic cathedral in France is the capital of Picardy region and the Somme department?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Franklin River is in which Australian state?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which South American country is bordered by Guyana to the west and French Guiana to the east?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Fynbos, an area of grassland and thicket, lies in which African country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Gabon?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which US state is the port of Galveston?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Gander Airport was used as a refuelling stop for transatlantic flights between the 1940s and the 1960s. In which Canadian province is it?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which English county is Gatwick Airport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which Italian region is the port and city of Genoa located ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Of which Italian region is Genoa the capital?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of the former Russian state of Georgia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which city, on the River Leine, is the capital of the German federal state of Lower Saxony?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Germany?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which American state did Geronimo carry out most of his raiding and killing?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Ghana?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "On which Scottish island is Goat Fell the highest point?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "English cartoon character John Bull was provided with a sister called Peg (by creator Dr John Arbuthnott), representing which country of Great Britain?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the largest Island in The Greater Antilles?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which town in Greater Manchester is the TV series 'Shameless' set?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What was the currency of Greece before it adopted the Euro?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which English football league team play their home games at Griffin Park?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Grossglockner is the highest mountain in which country ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "What is the capital of Guernsey, Channel Islands?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which American city will you find the 'Guggenheim Museum'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Haight and Ashbury are streets in what city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "In which country can you find Haneda Airport, one of its countries most important dealing with domestic flights?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Known as the Valley Isle, which is die second largest of the Hawaiian islands?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Hawaii is in which ocean?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Samoa, Hawaii and the Tokelau Islands are part of which geographic area?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which is the USA's Hawkeye State?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Ramshaw Rocks and Hen Cloud are in which National Park?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "You can do a degree in brewing at Heriot-Watt University where?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Once the longest street in the world Yonge (pronounced Young) Street has its southern end in which city The ice hockey Hall of Fame stands on a corner with Front Street.?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "England's largest nature reserve is at Holkham, in which county?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which US state is known as the Hoosier State?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "The Hudson River forms the boundary between the states of New York and what other?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: location\n", "labels": "Which present day capital city was the capital of Hungary from 1536 to 1784 because of the Ottoman occupation?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5d15e0aec3c94fa49e7bcbce601d0041"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "What is the common two word name for Yuca Brevifolia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "In the human body what is a carotid?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "What are muslin and chenille?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "Which painter's works include 'Judith beheading Holofernes' in 1598 and 'Supper at Emmaus' in 1602?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "In Turkey, what is Galatasaray Spor Kulb?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "By what name is Hansen's Disease better known?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: common\n", "labels": "What is the Hindu Kush?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e192abfa4d8b4a0ca20dd4d4084164f8"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who (although he claims that the author was an entity named Aiwass, his personal Holy Guardian Angel or Higher Self) is credited with writing Liber AL vel Legis, the central sacred text of Thelema, commonly referred to as The Book of the Law, in 1904?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Joseph Addison and Richard Steele founded (in 1711), and Boris Johnson edited, which British magazine?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote The Quare Fellow and Borstal Boy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Published in 1980, which American author wrote the book The Bourne Identity ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote 'The Boys From Brazil'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the novel 'Brideshead Revisited'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Whose first novel was Buddenbrooks, published in 1901?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the novel 'The Call Of The Wild'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which French writer, born Francois-Marie Arouet in 1694, wrote Candide?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which Welsh author, born in Cardiff, has written over 30 books, including Pillars of the Earth, Fall of Giants and Capricorn One?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote 'The Carpet People', 'Hogfather', 'The Last Continent', 'Men At Arms', and 'Mote'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the 1974 novel 'Carrie'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "`Carte Blanche' is a 2011 James Bond novel by which writer usually associated with the crime genre?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the musical Cats?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Charles Bingley was a character in what classic Jane Austen novel?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In which Charles Dickens novel does the character Mr M Choakumchild appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": " 'Now what I want is, Facts' is the opening line of which Charles Dickens novel?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In the novel, The Pickwick Papers, by Charles Dickens, who brought an action against Mr Pickwick, for breach of promise to marry?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the children's classic 'Charlotte's Web'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which of the Romantic poets wrote the epic semi- autobiographical poem 'Childe Harold's Pilgrimage'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the novel The Cider House Rules?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which 19th Century poet wrote 'Clancy of the Overflow'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Claudius is the murderous uncle of which character in a Shakespearean play?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which poem written by Clement Moore was originally titled A Visit from Saint Nicholas?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Closing Time was a sequel to which famous novel of 1961?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the 1964 book 'The Corridors of Power'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which philosopher wrote the 'The Critique of Pure Reason'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the plays `Death Of A Salesman` and `The Crucible`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What is the title of the first novel to be published in the 'Chronicles of Narnia' series by C S Lewis?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the 1925 novel Mrs Dalloway?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What 2003 mystery-detective novel by Dan Brown has been denounced as an attack on the Catholic Church and criticised for historical and scientific inaccuracy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which book about a castaway was written by Daniel Defoe?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Inked by Dean Young, the travails of the Bumstead family are depicted in what comic strip created in 1930?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which American author wrote 'Death In The Afternoon', a non-fiction work about Spanish bull fighting?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "The cocktail 'Death in the Afternoon', consisting of Absinthe and Champagne, was invented by which American author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Whose memoir 'Decision Points' was published in late 2010?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "The first vice-president of the USA to be elected President, the father of a future President, assistant in drafting the Declaration of Independence and negotiating peace with Great Britain, and architect of vital government loans from the Netherlands, was who?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which American novelist wrote over 30 books, including The Pathfinder, The Deerslayer and The Last of the Mohicans?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "L. Ron Hubbard, science fiction writer, died on Jan 24, 1986, but is best known developing the self-help system called Dianetics, and for founding what religion?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who writes the Discworld novels?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which Norwegian dramatist wrote the plays A Doll's House and Ghosts?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote `Dombey and Son`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In the book by Miguel de Cervantes, who was Don Quixote's squire?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "'Dora Spenlow' was the first wife of which Dickens character?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which Dickens character married Dora Spenlow?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which series of books, first published in 1922, sees the main character's friends named Ginger, Henry and Douglas who call themselves the Outlaws?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": " 'Down and Out in Paris and London' was written by which British author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote 'Down And Out In Paris And London', and 'The Lion And The Unicorn'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who was the main character in Sir Arthur Conan Doyle's novels A Study In Scarlet, The Sign of Four and The Hound of the Baskervilles?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In which adventure story does the magistrate Dr Livesey feature?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the 2008 novel 'Duma Key'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote 'Earthly Powers', a long and ambitious first- person novel, narrated by an octogenarian homosexual?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What was the name of the kind hearted orphan created in two books by Eleanor H Porter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which Greek mathematician, active in Alexandria during the reign of Ptolemy I and often referred to as the Father of Geometry, published the textbook Elements?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the plays Waiting For Godot, Endgame, Play, Happy Days and Krapp's Last Tape?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Scamper is a dog in which series of Enid Blyton stories ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which epic poem by John Milton tells the story of the Fall of Adam and Eve?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which book by Eric Carle was inspired by a hole punch?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the novel Evening Class?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the novel 'Exodus'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "The Fair Maid of Perth is a novel by which author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which English playwright wrote the 1925 play 'Fallen Angels'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which author created the character of Fantastic Mr Fox?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "The novels 'The Long Goodbye' and 'Farewell, My Lovely' feature which fictional detective?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which author wrote 'Fear and Loathing in Las Vegas' and was known as the inventor of `gonzo' journalism?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In which Shakespeare play do the characters of 'Ferdinand, King of Navarre', 'Longaville','Sir Nathaniel', 'Holofemes' and 'Dull, a Constable' appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Whose plays were all compiled by by Heminges and Condell and published in a volume called 'First Folio' seven years after his death?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What is the title of the 2007 US fantasy action film, starring Gerard Butler, based on the 1998 comic series of the same name by Frank Miller?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which 1944 work of Friedrich Hayek is among the most influential expositions of classical liberalism and is stated as the single book that significantly shaped the political ideologies of Margaret Thatcher and Ronald Reagan?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "'Gargantua' and 'Pantagruel' are literary works written by which 16th century French author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What title did George Orwell give his book recalling his time as a soldier in the Spanish Civil War ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "'Germinal' and 'Nana' are literary works by which 19th century French author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "The film `Gone With The Wind` is based on a novel by which author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In legend who killed the mobster Grendel?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which character in Shakespeare's Hamlet says Beware of entrance to a quarrel but being in, bear't that the opposed may be aware of thee?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In the Shakespeare play 'Hamlet' the skull of which character is held by Hamlet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "In which novel does the character Hannibal Lecter first appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What was the title of the book to first feature serial killer Hannibal Lecter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who composed the musical work 'Harold In Italy' in 1834?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What is the name of the anti-slavery novel written by American author Harriet Beecher Stowe in 1852?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which author created the detective Harry Bosch?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "What novel, by Helen Fielding, is a modern-day retelling of Pride and Prejudice?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Henry Fleming is the narrator and hero of which 1894 war novel?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Mrs Grose and Miss Jessel appear in which novella by Henry James?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Hester Prynnne is the main character in which novel by US author Nathaniel Hawthorne?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the 2004 play 'The History Boys'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the play, later a film, The History Boys?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "The author of Hitchhikers Guide to the Galaxy had an asteroid named after him after he died in 2001. What was his name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which author created the fictional character Horrid Henry?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who is the author of the novel 'The Horse Whisperer'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which pioneering American poet and story-teller wrote The Fall of the House of Usher?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Who wrote the book `Howard`s End`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": " 'How To Talk Dirty and Influence People' is the title of which US comedian's autobiography?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: book\n", "labels": "Which novel features the scholar 'Humbert Humbert'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bb1054002fca44debc2b7df6a39bb9af"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Who founded the Body Shop, in the UK, in 1976?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "As at 2008 which corporation owns the brands Duracell, Braun and Gillette?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Which company began a hostile takeover bid for Cadbury in September 2009?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Which US company has recently taken over Cadbury's?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "In 1989 Carlo Petrini founded what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "What was founded by the Rev. William and Catherine Booth in 1878?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "What was the name of the British India Special Force, the brainchild of British Brigadier Orde Charles Wingate, that operated behind Japanese lines in Burma & India in 1943/1944 during World War II?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Writer of films such as 'Love Actually' and 'Notting Hill', which long-term partner of Emma Freud co-founded Comic Relief with Lenny Henry?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Active since 1977, Which unit is the only official US Army Counter-Terrorism force?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "What company was founded by Jerry Young and David Filo in 1994?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Richard Block and David Quayle founded which British-based DIY retailing company in 1969?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "In the 19th century, Edward Gibbon Wakefield set up which organisation to colonise New Zealand?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "The Northern League is a far-right political party in which EU country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Which country took over the Presidency of the European Union from Sweden on 1st. January 2010?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Name the Swiss football administrator who served as the eighth president of FIFA (Federation Internationale de Football Association) from 1998 to 2015 and banned from office after an ethics investigation?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Founded in London in 1844 by George Williams, which organisation was established to provide low cost housing in a safe environment?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Which US boxing world champion founded 'Golden Boy Promotions' in 2001?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Who founded Gordonstoun Boarding School in 1934?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: organization\n", "labels": "Which famous musician owned a film company called Handmade Films?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ca608d32f14f4ee890bd6955b40830cf"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "Where would you find Changi Airport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "Who produced the first Chinook helicopter in 1961?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "Which British city is served by 'Elmdon Airport'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "First flown on the 27th July 1972, who built the F15 Eagle fighter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "Which company manufactured the WW2 plane, the B17, known as the Flying Fortress?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "Near which city is 'Fuhlsbuttel Airport'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "In which city is the Galileo Galilei airport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: aviation\n", "labels": "Which British aircraft company made the original Gnat jet trainer?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5907d73a47704a9cafad4fcdfd73f4a0"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "Which country declared war on Britain in 1812?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "In the British Army, what rank falls between Major General and Colonel?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "In the British Army, which commissioned rank is indicated by a crown on each shoulder?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "What is the trade of a British Army soldier with a white horseshoe on his arm?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "In the British Royal Navy, which rank is between Captain and Rear-Admiral?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "Who owned the black labrador that was killed on the evening of the Dam Busters raid?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "In 1314, Robert the Bruce and a small Scottish army inflicted a massive defeat on a huge English army at Bannockburn. Who was the leader of the English forces ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "Which battle between England and France was fought in August 1346?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "Who led the Free French forces during World War II?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "During which battle of 1876 did the Sioux Indians massacre George Custer's Seventh Cavalry Regiment?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "In WW2 Operation Yellow was the codename for the German invasion of which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: military\n", "labels": "What 1943 WWII battle between Germany and the Soviet Union remains to this day the largest series of armored clashes ever?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce7023b5500045e8b8f8e4e363ee342f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "The cocktail containing Brandy, Cointreau and Lemon juice, is known as what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": " 'Triticum' is the Latin name for which cereal crop?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "What particular type of cheese is made from the milk of water buffalo raised in designated areas of Lazio and Campania on the west coast of Italy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "Tia Maria - Vodka and Coke make what cocktail?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "What cocktail consists of 1.5 oz Gin, .5oz Applejack, 4 dashes Grenadine, the juice of 1/2 Lemon, and 1 egg white?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "Which two word term is commonly used to describe a cocktail consisting of vodka and tomato juice?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "Vodka and orange makes up what cocktail?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "In 1981, in a move that met with considerable controversy, the Agriculture Department in the US proposed classifying pickle relish and what other condiment as vegetables in order to save money on school lunch programs?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "What is the country of origin of the cheese called feta?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "Caputo '00' flour, fior di latte, and San Marzano plum tomatoes are typical authentic ingredients of what traditional food?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "Fynbo cheese is named after the island of Fyn in which European country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "What is the name given to the Italian fried chicken dish in which a sauce of garlic, tomatoes and white wine is used Named supposedly after an inn-keeper was forced to make a dish with any food available by Napoleonic French forces?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "Halloumi cheese originated on which Mediterranean island?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: food\n", "labels": "What country does Heineken beer come from?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-76d7d9f42eb6465fb55566c899874ff2"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "A bodhrn, tabor, pandeiro and bongo are types of what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What are Glastonbury, Coachella, and Bonnaroo?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What kind of creature is a Bonobo?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Who was the commander of the French army at the Battle of Borodino?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which sub species of brown bear is the largest member of the bear family?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What, in Buddhist theology, is the highest level of attainment?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Buenos Aires is the capital of which South American country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What name is given to Canada's newest territory, created in 1999 , offering some self-determination to the Inuit people?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In which American state would you find the Carlsbad Caverns National Park?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Carrie Underwood rose to fame on what TV show?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What name is given to the disease whereby parasites can change the behaviour of rats and mice, making them drawn to rather than fearful of the scent of cats?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which (liquid) foodstuff has the chemical formula CH3COOH?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "The Chukchi, Beaufort, and Barents are all seas in which ocean?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "The 1970's 'Cod Wars' were over fishing rights between the UK and which other country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Concord is the capital of which American state?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Whose first husband was Conrad Hilton Jnr., heir to the hotel empire?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Since 2004, 'The Gay and Lesbian Kingdom of the Coral Sea Islands' has fought for independence from which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In which country can you find the cities of Salta, Corrientes and Rosario?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "The island of Corsica belongs to which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which native American tribe were also known as the Dakota?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "From his Nutcracker suite, who composed The Dance of the Sugar Plum Fairy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which rock band did Dave Gilmour join in 1967?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What is the capital of the American state of Delaware Boise, Dover or Jefferson City?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "The letters C and S in the Turkish alphabet feature which diacritical mark?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What chemical element is a pure diamond?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which chemical element can take the form of diamond or graphite?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Phobos and Diemos are the moons of which planet in our solar system?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What country uses the Dong as its currency?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What is the technical term for double vision?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "October 21, 1833 saw the birth of what Swedish chemist, engineer, and inventor, responsible for creating dynamite?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which chemist, engineer, and armaments manufacturer invented dynamite and a detonator for it and then founded a longstanding series of world prizes for, among other things, promoting peace?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What was placed in Earth's orbit by Discovery in 1990?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Who follows 'the eight fold path'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Who dated actress Elizabeth Hurley between 2000 and 2001 and denied he was the father of her son born in 2002 before a DNA test proved otherwise?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What is the Estonian name for Estonia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "By the 15th century, coffee was known in the Middle East, Persia, Turkey, and northern Africa. It first arrived in Europe in the area covered by what modern day country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "The most northerly point of mainland Europe is in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which European country has often been referred to as the 'Playground Of Europe'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Fanny Sunesson was the regular and highly successful caddie for which major golfer between 1990 and 1999?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What element has chemical symbol Fe?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Fernando Alonso drives for which F1 team?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "A pearmain is what type of fruit?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In which continent is the country of Gabon found?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What gambling game is based on a wheel with 37 compartments?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Who published the General Theory of Relativity in 1915?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which collection of orchestral movements were composed by George Frideric Handel in 1717 at the request of King George I These are also his best known work.?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which horse race meeting, for The Gold Cup, was first run in 1711 and is held on 7 June each year?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What is the largest island in Greece?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In Greek legend what creature did Theseus kill in the labyrinth?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In Greek mythology, what name is given to the monsters with sharp fangs and hair of living snakes?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In Greek mythology, what is the name of the many-headed monster slain by Heracles?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "What was the name of Han Solo's spacecraft in the first Star Wars film to be released?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Ashtanga Vinyasa, Bikram, and Hatha Vidya are styles of what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Crenshaw, crane, musk, horned, and honeydew are all types of what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "In which 'James Bond' film did the character 'Honey Ryder' appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which human-rights organization campaigns for the release of political prisoners worldwide?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: base\n", "labels": "Which English monarch was on the throne at the beginning of the Hundred Years War?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-56fb9564092348489cea431640a17059"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Which is the only cactus fruit that is widely eaten?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Capuchin, Spider and Colobus are types of what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Turkish Van, Chartreux, Scottish Fold and Ragdoll are types of?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Cochin, Red Shaver and Sulmtaler are breeds of which bird?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Corriedale is a breed of which animal?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "What breed of dog was a favored imperial pet in ancient China?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Which breed of dog, bred for hare coursing and racing, can reach speeds of over 40mph?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Which breed of dog is Marley in the 2008 film 'Marley and Me'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "What breed of dog was Lassie?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "What animal is the offspring of a male donkey and female horse?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": " 'Fragaria' is the Latin name for which fruit?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "What is the common name for members of the plant genus Mandragora belonging to the nightshade family?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "What is a genus of 422 species of flowering annual, biennial, and perennial plants commonly known as the cranesbills?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Common in Australia the wattle is a tree of what genus?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Having originated in Germany, what is the name of the dog breed that competes in the eponymous wiener dog races?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: biology\n", "labels": "Which breed of dog's name translates as badger hound?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-85ecb59a14e6490b885eef5e4c6f212d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: finance\n", "labels": "What country temporarily renamed its currency Bolivar Fuerte (meaning strong Bolivar) while phasing out the use of the previous Bolivar alongside it?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-4724116d9b294b4ca85e915cc6084421"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: finance\n", "labels": "The Drachma was which nation's main currency unit before the Euro in 2002?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-4724116d9b294b4ca85e915cc6084421"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: symbols\n", "labels": "Which chemical element is named after the Latin for Copenhagen where it was discovered?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2a4e7de34f1242b6abde4227326f817f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: symbols\n", "labels": "What church, known as the Irvingites mainly due to the preaching of Edward Irving, was founded in Scotland in 1832?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2a4e7de34f1242b6abde4227326f817f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: symbols\n", "labels": "Three of the Galilean moons of Jupiter are Io, Europa and Callisto. Which is the fourth?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2a4e7de34f1242b6abde4227326f817f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: symbols\n", "labels": "Sportsman Gerry Watson is better by which first name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2a4e7de34f1242b6abde4227326f817f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: symbols\n", "labels": "For which ancient ruler was the Mausoleum at Harlicarnassus built ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2a4e7de34f1242b6abde4227326f817f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: geography\n", "labels": "In which group of islands are St Mary's, St Agnes and Bryher?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8e0f1b72e105409f8a04ad8c616167db"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: geography\n", "labels": "In which mountain range is Carrauntoohil, the highest mountain in Ireland?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8e0f1b72e105409f8a04ad8c616167db"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: geography\n", "labels": "Cotopaxi in Ecuador and Paricutin in Mexico are examples of which geographical feature?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8e0f1b72e105409f8a04ad8c616167db"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: geography\n", "labels": "Much in the news during the 'Falklands Crisis', on which island is Wideawake Airfield?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8e0f1b72e105409f8a04ad8c616167db"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: geography\n", "labels": "What is the name of the seismic fault line that runs for about 800 miles in California?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8e0f1b72e105409f8a04ad8c616167db"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: geography\n", "labels": "What island is the southernmost point of the Florida Keys?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8e0f1b72e105409f8a04ad8c616167db"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was Britain's first ever Labour prime minister in 1924?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who became British Prime Minister in July 1902?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was the first person to be officially called British Prime Minister, 5 days after he took office in 1905?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was British Prime Minister from 1922-23, shortly before he died?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who became British Prime Minister in October 1809?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Which British Prime Minister introduced income tax, to help offset a reduction in revenue caused by a decline in trade?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Name the British Prime Minister at the outbreak of WW1?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was West German Chancellor from 1969 to 1974 Willy Brandt.?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Which member of the cabinet is the MP for Chingford and Woodford Green?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "The principal Deputy Speaker of the House of Commons has the official title Chairman of Ways and Means. Who is the current holder of the post, the MP for Chorley?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "What was Colin Powell's role in George W Bush's government from 2001 to 2005?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was the first and only President of the Confederate States of America?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Which former leader of the Conservative party was MP for Folkestone and Hythe?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Which former politician and convicted perjurer was appointed in November 2007 to lead a prison reform task force for the Conservative Party?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who became leader of the British Conservative Party in July 1965?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was the President of Costa Rica between 2006 and 2010?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Dan Quayle was Vice President to which president of the USA?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Having been the M.P. for this constituency since 1970, Labour M.P. Dennis Skinner has acquired the nickname, The Beast of ---- where?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Which MP represents the constituency of Doncaster North?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "What was the name of the Dutch MP refused entry into the UK in early 2009?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was Vice President to US President Dwight D Eisenhower?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "The Folketing is the parliament of which European country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "In September 1968, Marcelo Caetano became Prime Minister of which European country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "In a coup in 2006, who seized power in Fiji?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Which French president succeeded Charles de Gaulle?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who resigned as President of Germany in February?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who preceded General Cornwallis as Governor-General of India?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who was Prime Minister of Great Britain at the end of World War I?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Who became President-For-Life of Haiti in April 1971?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: government\n", "labels": "Hammurabi was a king of which people in about 1750BC?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-958c5982b12041ab98bcb6606601d135"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: soccer\n", "labels": "Recently promoted to the Premier League which 43 year old is the manager of Burnley football club?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-205207def358473f9ef8cff7c1dd613b"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: soccer\n", "labels": "Which Championship Football League club is based at the King Power Stadium?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-205207def358473f9ef8cff7c1dd613b"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: soccer\n", "labels": "Who coached/managed both the England and Russia football teams during 2012?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-205207def358473f9ef8cff7c1dd613b"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: soccer\n", "labels": "The IFFHS (International Federation of Football History and Statistics) named which goalkeeper The Best of the 20th Century?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-205207def358473f9ef8cff7c1dd613b"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: soccer\n", "labels": "Leicester City FC's 1950s-70s players Gordon Banks and Peter Shilton are considered among the world's best ever?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-205207def358473f9ef8cff7c1dd613b"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Arch enemey of Count Dracula, what is the name of the vampire hunter in Bram Stokers 1897 novel Dracula?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Zeus' visit as a swan to whom resulted in the birth of twins Castor and Pollux?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Madeline Bray married which eponymous character in a Charles Dickens novel?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What beings come from the planet Cybertron?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "In Pride and Prejudice, what is the Christian name of Mr Darcy's sister?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Which Dickens character was apprenticed to 'Old Fezziwig'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What type of alien is the Doctor from Doctor Who?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Who wrote the book Don Quixote?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What is the name of the paranoid android in the novel 'The Hitchhiker's Guide to the Galaxy' by Douglas Adams?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What Dr. Seuss character hears a Who?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Which Eastenders character left Albert Square to go to Scotland in 1998 after 5 years in the programme?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What was Erich Weiss better known as?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "By the power of Greyskull, who, alongside Teela and Man-At-Arms, battled Skeletor to defend Eternia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "In the 'Harry Potter' books, 'Hogwarts school' has four houses, 'Gryffindor', 'Slytherin' and 'Ravenclaw' are three, what is the fourth?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "According to L Frank Baum what was the name of the Good Witch of the South?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Who was the famous comic book creation of Frank Hampson?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What was the pseudonym of French dramatist Jean-Baptiste Poqueline?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "In what 1959 Peter Sellers movie does the Duchy of Grand Fenwick invade the US in an attempt to start a war so that the US will rebuild their nation following its victory?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "In which city is the TV series 'Gray's Anatomy' set?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "In which TV series would you find the character Groundskeeper Willy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "In the play by Shakespeare, what is the first name of Hamlet's mother?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What school does Harry Potter attend?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Which house did Harry Potter belong to in Hogwarts School?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Who is the twin sister of the cartoon hero He-Man?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Who was the wife of King Henry V of England?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Which of Henry VIII's wives had previously been married twice, to Edward Borough and John Neville?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "Which of the wives of Henry VIII was born on the outskirts of Dusseldorf in 1515?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: fictional_universe\n", "labels": "What is the name of the wizard who runs the Hogwarts School of Witchcraft and Wizardry in the Harry Potter books and films?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c4c90f0994984b739a3111fdae74e790"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Who won the 2011 Booker Prize for 'The Sense of an Ending'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "For which book published in 1981, did Salman Rushdie win Britain's oldest literary award, The James Tait Black Memorial Prize, as well as the Booker Prize?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Which author won the Booker Prize in 1991 for his novel 'The Famished Road'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Who won the Booker Prize twice for his novels 'The Life and Times of Michael K' and 'Disgrace'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Broderick Crawford won an Oscar as best actor for his part in which 1949 film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Which former jump jockey won the prestigious 'Crime Writer's Association' award the Cartier Diamond Dagger, in 1989?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "In 2014 Cate Blanchett won an acting Oscar for which film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "ABBA and Celine Dion were winners of what European song contest?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Who won an Oscar for the music for Chariots of Fire in 1981?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "In 2011, Christian Bale won a Best Supporting Actor Oscar for his role as an assistant to his half-brother in which boxing related film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "In 1959, for which film did David Niven win his only Academy Award?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Who won an Oscar for his part in The Deer Hunter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Who won the Eurovision song contest for Ireland singing `What`s Another Year`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Who won the Eurovison Song Contest for the United Kingdom in 1967?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Geoffrey Rush won the 1996 Academy Award for Best Actor for playing a mentally handicapped piano player in which film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Glenda Jackson won an Oscar in 1971 for which film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Glenda Jackson won Best Actress Oscar in 1971 for her role in 'Women In Love' and again in 1974 for a role in which film?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Which role as 'the other woman' won Glenn Close her first Oscar nomination?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "What is the title of Hilary Mantel's book that won her a second Man Booker Prize?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: award\n", "labels": "Which group has had hits with the albums 'Hopes and Fears', and `Under the Iron Sea'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2028b2f0a6d4493dad3dfd9854ef3090"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: medicine\n", "labels": "The bacteria used in botox is also responsible for what disease?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-50bafaa5f8a1484299cc9e81f91f6481"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: medicine\n", "labels": "Exophthalmic Goitre is the medical term for which disease?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-50bafaa5f8a1484299cc9e81f91f6481"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: tennis\n", "labels": "Who won the Women's Singles at the 2015 Australian Open Tennis Championships?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-24046d89af7b4f759033d223021f4ec7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "The Bourbon dynasty began to rule which country from 1700 and still do?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Astronomer Tycho Brahe was born in which European country in 1546?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who is the father of the twin boys born to Brooke Mueller on 14 March 2009?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which country was kung fu expert Bruce Lee born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Author Candida Lycett Green died in August. Which poet was her father?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which country was the ballet dancer Carlos Acosta born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "To whom was the actress Carole Lombard married at the time of her death?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Carrie Fisher is the daughter of which actress?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who did Bulawayo born Charlene Wittstock marry earlier this month?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which university did Prince Charles attend?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "What community-support focused branch of Christianity grew from the work of brothers John and Charles Wesley and George Whitefield?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Cheryl Crane, aged 14, the daughter of which US actress, fatally stabbed her mother's boyfriend, Johnny Stampano in 1958, while defending her mother?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which English singer-songwriter's pet spaniel was a special guest at his civil partnership ceremony?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Xavier Rolet succeeded Clara Furse to a major job in which establishment during May 2009?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Clarissa Churchill was the second wife of which British Prime Minister?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who was the scheming wife of the Roman emperor Claudius?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "What nationality is or was former F1 Grand Prix driver Clay Regazzoni?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Colleen McLoughlin married which English footballer in 2008?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which British comedian hosts a television programme called 'TV Burp'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Actress Dakota Johnson is the daughter of actor Don Johnson and which actress?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who did actor David Arquette marry in 1999?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which US group of the 1970s consisted of Dewy Bunnell, Dan Peek and Gerry Beckley and had hits including Tin Man and Sister Golden Hair?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "What nationality was the painter Diego Rivera?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which female, London-born author has younger brothers, rapper and comedian Doc Brown and rapper Luc Skyz?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which city is the Roslin Institute, the location of the cloning of 'Dolly the Sheep'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which actor married singer Dorothy Squires in 1953, who was 12 years older than him?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who was the mother of Edward VI?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Food writer and critic Egon Ronay, who died in 2010, was born in what country, which offers a food related pun?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Joe Orton, Sue Townsend and the Elephant Man were all born in which English city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who is Emilio Estevez`s famous actor father?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "The Empress Eugenie (1826-1920) was the wife of which European leader?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Where in Australia was swashbuckling Errol Flynn born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "According to the Bible who was the mother of Esau and Jacob?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In the Bible, who was the mother of Esau?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "French intelligence service (DGSE) agents Captain Dominique Prieur and Commander Alain Mafart were convicted of the manslaughter of photographer Fernando Pereira and sinking a ship, Greenpeace's the Rainbow Warrior, in 1985, in which harbour?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "What is the first name of US actor and film director Spike Lee?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "What was the first name of British film producer J Arthur Rank?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which European city was Crimean War nurse Florence Nightingale born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which country was architect Frank Gehry born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "The kings of which country have alternatively been called Christian or Frederick since 1513?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which prominent Mexican painter was married to Frida Kahlo?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Name the actress, who played the part of Nurse Chappel in the original TV series, Star Trek, and married the creator Gene Roddenberry in 1969.?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which London pub did Ronnie Kray murder George Cornell?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "George Fox is associated with the founding of which religion?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who did actress Grace Kelly marry in 1956?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which country was Gustav Klimt born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Guy Fawkes was born and schooled in which English city?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In the Bible, who was the third son of Noah along with Ham and Shem?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which British writer married Harold Pinter in 1980?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "In which country was escapologist Harry Houdini born?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Actresses Judi Dench, Helen Mirren and Maggie Smith all hold which title?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Apart from Anne Boleyn, which other wife of Henry 8th was executed?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which royal house consisted of Henry IV, Henry V and Henry VI?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Which of Henry VIII's wives is said to haunt Hampton Court?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Sir Edward Burgh was the first husband of which wife of English monarch King Henry VIII?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "The House of Bernadotte is the Royal House of which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "The House of Braganza once ruled which European country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: people\n", "labels": "Who was the last British monarch of the House of Hanover?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-ce5475bde298460d9ee29038bbeb9952"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: business\n", "labels": "Who was the director of the CIA from 1976-81?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-87c7456cb6f94fedac9746525b562950"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: business\n", "labels": "Which company's products include Dettol, Veet, Cillit Bang and Durex?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-87c7456cb6f94fedac9746525b562950"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: business\n", "labels": "Oct 5, 1902 saw the birth of Ray Kroc, who started which ubiquitous food source, the most successful fast food operation in the world?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-87c7456cb6f94fedac9746525b562950"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: martial_arts\n", "labels": "Which Irish boxer was nicknamed the Clones Cyclone?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-6c72137a47f04f1bbb83d3883b835a1f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: martial_arts\n", "labels": "Which boxer was nicknamed the Orchid Man?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-6c72137a47f04f1bbb83d3883b835a1f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: martial_arts\n", "labels": "Oscar de la Hoya, Jack Dempsey and George Chuvalo are all associated with which sport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-6c72137a47f04f1bbb83d3883b835a1f"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "In what country did the Boxer War, or Boxer Rebellion, happen?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "On which date do we celebrate 'Boxing Day'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "Starting 30 years of conflict, the Eritrean War of Independence broke out on Sept 1, 1961, as Eritrean separatists fought for independence from what country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "In which city did Expo 67 take place?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "Globo Esporte, which carried the headline 'HAHAHAHAHAHAHA' following Argentina's 4-0 defeat by Germany in the 2010 FIFA World Cup, is a newspaper in which country?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "In the First World War, what other name is given to the third battle of Ypres of June 1917?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "In which English Country did the Battle of Flodden Field take place?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "The site of the Battle of Flodden Field is in which county?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "In which 18th century war were the battles of Dettingen and Fontenoy?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "Which month in the Gregorian calendar was originally the seventh month of the Roman calendar?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: time\n", "labels": "Which month of the Gregorian calendar was originally the first month of the Roman calendar?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-f048814a8e5b43f09037649005bef884"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: freebase\n", "labels": "Helvetia is the female personification of which country, appearing on its coins and stamps, etc?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-4ec5e54b3f1949e692bc0840d0b1f604"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: religion\n", "labels": "In which religion is the god Brahma found?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e0e9910ec66c4607b3728a535f1b5fd3"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: religion\n", "labels": "What movement was founded by Charles Taze Russell in 1881?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e0e9910ec66c4607b3728a535f1b5fd3"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: religion\n", "labels": "In Egyptian mythology, what was the name of the cow- headed goddess of love?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e0e9910ec66c4607b3728a535f1b5fd3"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: religion\n", "labels": "Which religion has Five Pillars (the Shadahad, Salah, Zakah, Sawma and Hajj)?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e0e9910ec66c4607b3728a535f1b5fd3"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: religion\n", "labels": "The oldest Sanskrit literature and Hindu scriptures are called what, meaning 'knowledge' in Sanskrit?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e0e9910ec66c4607b3728a535f1b5fd3"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Which US pop artist created 100 Campbells Soup Cans?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Name the French artist (1839-1906) whose painting 'The Card Players' is one of the most expensive ever sold?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "The Card Players and The Boy in the Red Vestare are works by which 19th century French artist?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Umberto Boccioni and Carlo Carra are associated with which artistic movement founded by Filippo Marinetti in the early 20th century?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Which is these is the real name of a famous 20th Century Graffiti artist?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Which 20th century artist's works include 'Christ Of St. John Of The Cross' and 'Metamorphosis Of Narcissus'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "A hugely valuable little sculpted guitar recently recovered by police in Italy was made by which cubist artist for his daughter Paloma?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Name artist Damien Hirst's famous (supposedly 50m) diamond and platinum encrusted skull artwork?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Who painted Dedham Vale and The Valley Farm?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Who painted the picture of The Fighting Temeraire?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Painted in 1905, the painting Garcon a la Pipe was a famous painting by which famous artist who died in 1973?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Who painted the early sixteenth century triptych 'The Garden of Earthly Delights'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Who sculpted The Gates of Hell depicting a scene from Dante's Inferno from 1880 until his death in 1917?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "What movement did Georges Braque belong to?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Who painted Girl before a Mirror ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Which famous British graffiti artist describes himself as a 'Quality Vandal'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Which of these is a famous work by Grant Wood?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "What war was depicted in Picasso's painting Guernica?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "'The Harlot's Progress' is a series of paintings and engravings by which 18th Century English painter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": " 'The Harlot's Progress' is a series of paintings and engravings by which 18th Century English painter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: visual_art\n", "labels": "Who made two series of engravings based on two series of his paintings, called A Rake's Progress and A Harlot's Progress?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3c9411dc65de4398b19ad89fc9db24d5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: automotive\n", "labels": "Which vehicle maker has marketed models called Corolla, Corona, Celica and Camry?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-a44e0b670575421f9dd1af4fc4e77244"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: automotive\n", "labels": "Which car manufacturer produces a model called then 'Forester'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-a44e0b670575421f9dd1af4fc4e77244"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: games\n", "labels": "Generally acknowledged as the father of role-playing games, Gary Gygax, along with Dave Arneson, was the mastermind behind what major game?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-770a854656ea47758d7285cdd1ecc11e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: architecture\n", "labels": "Which London landmark was designed by Sir Christopher Wren to commemorate the Great Fire of London?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-9d97dfdd8d504e0a9f6929f02932b921"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: architecture\n", "labels": "The Great Pyramid of Giza was built for King Khufu as a what?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-9d97dfdd8d504e0a9f6929f02932b921"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: architecture\n", "labels": "Who designed the Guggenheim Museum in New York?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-9d97dfdd8d504e0a9f6929f02932b921"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "What smelly element is also referred to as brimstone?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "What is the scientific symbol for calcium?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "If something is sigmate, it is in the shape of which letter of the English alphabet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "Which country, a member of the EU, produces the rich dessert wine Commandaria?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "Which EU country has the greatest population?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "Which letter of the Greek alphabet, when written as a capital, looks like our letter P?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "Omega is the last letter of the Greek alphabet, which is the penultimate letter?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "What is the 23rd letter of the Greek alphabet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "What is the fifth letter of the Greek alphabet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: user\n", "labels": "Which letter from the Greekalphabet is the symbol of the most penetrating type of radiation containing no particles ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e98dbe0d4ef343faac840c1556d71c08"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: olympics\n", "labels": "Who won Britain's only track and field medal at the 1976 Olympics?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-da1276996559494c904cf4345672c891"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: olympics\n", "labels": "Who was first to win an Olympic gold medal for Britain in a throwing event?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-da1276996559494c904cf4345672c891"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: olympics\n", "labels": "LeBron James, Chris Bosh and Dwyane Wade play what sport professionally for the Miami Heat?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-da1276996559494c904cf4345672c891"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: olympics\n", "labels": "Belgian competitor Eddy Merckx, often referred to as the best of all time in his field, was involved in what sport?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-da1276996559494c904cf4345672c891"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: olympics\n", "labels": "Name the venue for the first Winter Olympic Games, held in 1924 ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-da1276996559494c904cf4345672c891"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: periodicals\n", "labels": "What is Germany's biggest selling newspaper (at 2012)?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-8526eed91e594ea387b7ca8a6f76ef7d"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who became the first Earl of Chatham in 1766?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who ruled England between 1603 and 1625?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who was king of England from 1042 to 1066?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who was King of England at the outbreak of the Hundred Years War?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who was on the throne of England in 1472?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who was the first Yorkist King of England?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Who was the last Catholic monarch to reign over England?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: royalty\n", "labels": "Which nation in 2014 saw the abdication of Juan Carlos and the ascension of Felipe VI?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-bc6a02d81d3242a4a980cbc5c77fc1e9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: chemistry\n", "labels": "Flourine, Bromine, Iodine and Chlorine are all what type of elements?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-abab5204fac345d59422c544f2275a6c"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: chemistry\n", "labels": "Chemistry - which of the halogens has the lowest atomic number?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-abab5204fac345d59422c544f2275a6c"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: chemistry\n", "labels": "Henry Cavendish discovered which element?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-abab5204fac345d59422c544f2275a6c"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: influence\n", "labels": "Who was Harper Lee's childhood friend and neighbour, the inspiration for the character of Dill in 'To Kill a Mockingbird'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-883294401cd84ee7b213e9f819363047"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: influence\n", "labels": "To whom did Herman Melville dedicate his novel, Moby Dick?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-883294401cd84ee7b213e9f819363047"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: celebrities\n", "labels": "The composer Frdric Chopin had a decade-long affair with which French author?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-440b7df3455041b89ae9a456d4fe1d73"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "Liza Minelli played what character in Cabaret?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "Who wrote the music for the musical Cats?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "What Shakespearean king had three daughters: Regan, Goneril and Cordelia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "In fiction who was Don Diego de la Vega?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "From which popular musical do we get the songs 'The Impossible Dream' and 'Dulcinea'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "In which Shakespeare play does Feste the clown say Many a good hanging prevents a bad marriage?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "In what stage show does Frank N Furter appear?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: theater\n", "labels": "God for Harry, England and Saint George is a famous quote from which historical play?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c836bafa74ac489c8014276724ffb53e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: law\n", "labels": "What did Carlton Magee devise in the US for motorists?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-1689f4f673bc46de9fc992bc634aff1c"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: law\n", "labels": "What was the surname of the French brothers who invented the hot - air balloon in the 18'th century ?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-1689f4f673bc46de9fc992bc634aff1c"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: travel\n", "labels": "Which English town is known for its collection of concrete cows?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5b7158c5e2434af2a714f66dc1c60d5e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: travel\n", "labels": "Europa Point is the southern tip of which British territory?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5b7158c5e2434af2a714f66dc1c60d5e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: travel\n", "labels": "What complex, once the residence of the Muslim rulers of Granada that became a Christian palace, was rediscovered in the 19th century and now exhibits Islamic architecture, together with Christian 16th century buildings and gardens?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5b7158c5e2434af2a714f66dc1c60d5e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: travel\n", "labels": "Where in Britain is the Great Western Railway Museum?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5b7158c5e2434af2a714f66dc1c60d5e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: travel\n", "labels": "In which Yorkshire town are the Royal Horticultural Society's Harlow Carr gardens?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5b7158c5e2434af2a714f66dc1c60d5e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: media_common\n", "labels": "'The Company of Captain Frans Banning Cocq and Willem Van Ruytenburch' is the proper title of which Rembrandt painting?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-72a904bca1c74c6493356af5f98f6311"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: media_common\n", "labels": "Franco Alfano completed which Puccini opera after the composers death in 1924?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-72a904bca1c74c6493356af5f98f6311"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: media_common\n", "labels": "Which musical was an adaptation of Christopher Isherwood's Goodbye to Berlin?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-72a904bca1c74c6493356af5f98f6311"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: media_common\n", "labels": "The storyline of which 1994 Disney animated film is based on the Shakespearean tragedy Hamlet?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-72a904bca1c74c6493356af5f98f6311"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: astronomy\n", "labels": "Which constellation, that lies between Cancer and Virgo, contains the stars called Regulus, Denebola, Regulus, Wolf 359, Gliese 436, and Algieba?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c710bcab5998484b9cbd6cdb9f7e00d7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: astronomy\n", "labels": "Who is the wife of King Cepheus, found opposite to him in the night sky?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c710bcab5998484b9cbd6cdb9f7e00d7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: astronomy\n", "labels": "Which planet has one moon called Charon?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c710bcab5998484b9cbd6cdb9f7e00d7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: astronomy\n", "labels": "Were he alive in 2006, the American astronomer Clyde Tombaugh would have been disappointed as his discovery was 'dwarfed.' What did he discover in 1930?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c710bcab5998484b9cbd6cdb9f7e00d7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: astronomy\n", "labels": "Of which planet is'Desdemona' a satellite?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c710bcab5998484b9cbd6cdb9f7e00d7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: astronomy\n", "labels": "What is the nearest star to the Earth?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c710bcab5998484b9cbd6cdb9f7e00d7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: comic_strips\n", "labels": "Who is the most famous cartoon creation of Chester Gould?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-57f0a6a57d3c49f1b2b101b844275d29"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: comic_strips\n", "labels": "Leapin' lizards! Which comic strip, created by Harold Gray in 1924, is ending its 85 year run next month, which means dog Sandy is going to have to find another little red haired girl to hang around with?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-57f0a6a57d3c49f1b2b101b844275d29"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: education\n", "labels": "What part of the body would a cardiologist specialise in?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-0cc83c9454de49a0b70b996be05d1ba7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: education\n", "labels": "Who attended schools in Cheam, Surrey, Gordonstoun, Scotland, and Timbertop, Australia?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-0cc83c9454de49a0b70b996be05d1ba7"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: measurement_unit\n", "labels": "What is the SI unit of capacitance?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5830399c4a5b4863a9b415c9bc8af605"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: measurement_unit\n", "labels": "What is the electrical capacitance which 1 coulomb of electricity will charge to a capacity of 1 volt?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5830399c4a5b4863a9b415c9bc8af605"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: measurement_unit\n", "labels": "What is the SI unit of electrical resistance?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5830399c4a5b4863a9b415c9bc8af605"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: measurement_unit\n", "labels": "In the SI system, what is the basic unit for the measurement of electric current?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5830399c4a5b4863a9b415c9bc8af605"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: cvg\n", "labels": "Which video game series is known by the initials GTA?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-e7c2e61d540c48979f1c62cd15fe62ba"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: opera\n", "labels": "Who stabbed 'Carmen' in the opera of the same name?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-020b1ebf01e942d298be12f6fb2342e1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: opera\n", "labels": "Which operatic character has a son called Dolore?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-020b1ebf01e942d298be12f6fb2342e1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: opera\n", "labels": "Which opera has 'Escamillo' as one of the central characters?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-020b1ebf01e942d298be12f6fb2342e1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: opera\n", "labels": "The character Pooh-Bah appears in which Gilbert & Sullivan operetta?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-020b1ebf01e942d298be12f6fb2342e1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: opera\n", "labels": "'Gilda' is the daughter of which eponymous character in a Verdi opera?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-020b1ebf01e942d298be12f6fb2342e1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: opera\n", "labels": "In Shakespeare Hamlet who is Ophelia's brother?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-020b1ebf01e942d298be12f6fb2342e1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: type\n", "labels": "Bayer Designations relate to which celestial bodies?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-c54db60ca2b147b088edf9edb3493d34"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: event\n", "labels": "Which American President once famously proclaimed `Ich bin ein Berliner`?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-58e76b04bbee47249fc25b3f7261fa34"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: interests\n", "labels": "What type of collectible, featuring Honus Wagner, was sold for $2.8 million in 2007?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-5f66fb95c7874631ba7383208170b19e"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: meteorology\n", "labels": "Which Island Nation was devastated by cyclone Pam in March 2015?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-b3d70acd34d34e78bf9713359fa5b1b9"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: language\n", "labels": "Which country's national anthem is known in English as 'The March of the Volunteers'?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2e032a0ad5794f928e74d5ce056800e5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: language\n", "labels": "Gilbertese is an official language of which Pacific island nation?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-2e032a0ad5794f928e74d5ce056800e5"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: venture_capital\n", "labels": "Which corporation bought 1.6% of Facebook for $240m?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-62c8f2377f8048b3b7a9beca65e8dcf1"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: dining\n", "labels": "May 15, 1940 saw the first restaurant in what fast food franchise, now the worlds largest, open in San Bernadino, Ca?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3af5724cfe1344a3a471f9c555ef7a62"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: dining\n", "labels": "What food was named after a composer by the French chef Escoffier?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3af5724cfe1344a3a471f9c555ef7a62"}, {"text": "Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.\nInput: dining\n", "labels": "What is the name of Heston Blumenthal's restaurant in Bray?", "task_name": "task901_freebase_qa_category_question_generation", "task_category": "question_generation", "id": "task901-3af5724cfe1344a3a471f9c555ef7a62"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: !!!!!!!!!!!!! RT @ShenikaRoberts: The shit you hear about me might be true or it might be faker than the bitch who told it to ya &#57361;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-702ac6f6f9f84109a8fa14c05a7a1d43"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: !!!!&#8220;@selfiequeenbri: cause I'm tired of you big bitches coming for us skinny girls!!&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ca7cb13b7f8646b9ba249ef949b41537"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" Keeks is a bitch she curves everyone \" lol I walked into a conversation like this. Smh\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4c74618a37084683815aff086020866a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" So hoes that smoke are losers ? \" yea ... go on IG\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-804f0386c6b448cbbb036ae1992c7429"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" bitch who do you love \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b2c1a2e3467f46de934f87483cc66da7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" bitches get cut off everyday B \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4a9ef75f63464f7ba9e96111fe7c9803"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" broke bitch cant tell me nothing \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-68bddef0fca84a62bccc15d8dc63f7bb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" her pussy lips like Heaven doors \" &#128524;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a164d7bc22c1486ea65aa6b349ff28c4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" post a picture of that pussy get 200 likes \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3bac53cecd0e4fcd9a6481ebfe90defb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" these bitches even worst they'll send them guys for you \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fc186b7478fa414891895dad0efd94b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" these hoes like niggas that spend money not talk bout it \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-df18c371564843218bb9789416b628dd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" we dont trust these niggas all these bitches \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5c6ef50fac434d13a87459cb5a3b1e88"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \" young Pill Chamberlain these bitches love my music \"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cd37ccfe59a54f8492eb1c65ea001efe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;@DaHomieFuzz: Gay niggas couldn't wait to act like bitches tonight\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c6d1522c964a4faeb1f1d21e39d78f9f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"..All I wanna do is get money and fuck model bitches!\" - Russell Simmons\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2fa51bbcd7264fac8693368a2e6878ff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Almightywayne__: Fuck Red Malone man bitch ass niggah\" could you please use complete sentences?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c7679a407a4a4b2c852b14000f008eca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@AutoWorId: Hennessey Venom GT &#128584; http://t.co/i8eGMnKaJ9\" that's one sexy bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b46d6c1f59894440b0fff97dd8d57097"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@BeenFLYnSolo: ppl talk bad about the ghetto/hood ... but as a kid growing up, a nigga had funnnnnnn !\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a5d395937a784cdbbb2da994b0be3b7b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@BestProAdvice: The facts on tattoos...tattoo http://t.co/ZwnbhpDZ8e\" he's a pussy with not tattooing them nipples\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d776652f5f334fdebe70f20f8f709d07"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Bill215_: &#128175;&#128175;&#128175; RT @nel_ayden Bitches be wanting to act like niggas so bad &#128553;&#128553;&#128553; that shit aint cuteeeee\" but niggas act like bitches..\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2c5e5910777746a2bd4f8c7792aecda0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@CHlLDHOODRUINER: when ur teacher tells u that u have homework https://t.co/RKk5vawIj1\" this bitch need to go!!!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-73fc16adcf7545a09c657fbdff24a304"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Coley_Cee: Let me make a couple tweets off cuzzo page, so I won't get in twitter jail.\"lmao bitch don't trick me again\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-11e9d4f5e7e44bcf915cab7da199b7e7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@DiamondLoudKush: The fuck be wrong with these bitches?\" Nobody knows\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-20535be83e5e44b09073af97d9c83b70"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Dommoneek: Little stupid as bitch I don't fuck with yoooooouuuu..\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-09927568869449d3b5b508b382deafa4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@GirlThatsVonte: Yall still going trick or treating this year or nah?\"hell yeah ima be da sweet tooth bandit steal bitches bags n shit\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c95df49e087945a694413e6ebe253e76"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Gotti_LTF: Happy Bday Bitch Ass Nigga @JetsAndASwisher\"preciate that bitch roll up!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a7ef32eef2fa42399e1e14e078613143"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@King_Shawn_6: @white_thunduh that's where I get my yellow flags for being amazing &#128079;&#128524;\" HELL YEAH NIGGY\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6bb984001c6d4a7b91b06df5df372b58"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@LCisTJ: Bruh, you studs keep thinking I'm soft as hell. Ask ya girl how many times she screamed she was my bitch. Oh okay. STFU.\" BYE HOE!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-179f2d0e3a8f4ba9bfa19838c5e2182b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@LeBronVuitton: A loyal bitch from the burbs without daddy issues is like finding a holographic Mewtwo.\" ...sounding like me over there lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b6fefa1e2d76480d83e0ba89d62386ea"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@LiLFridayHOE: Easy cum, easy hoe\" That's a fact !\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c4c32ec33fb04af599d01d72c94811f9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Miikito_x3: Toto means ass or vagina?\"I think pussy cause toto santi is like nasty pussy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-126c440e1ef8445696277d038d108fc7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@MileyCyrus: bitch couldn't kill my vibe if ya tried. &#127752;&#127752;&#127752;\" dis why i love miley :*\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7b4779f4bb554d36b172700b111b40f9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@No_FAKINGG: People always asking me what I'm mixed with.\" She a bad asian bitch lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0d3165ba9cea44248b69dd91ac54c9b0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Shaa_Jenkins: If ya bitch always bitching clearly she care!\" Or just an annoying Bitch!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-449a2a39ac6c4fc3a007b542ecc2b768"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@SlimGirl_Probz: i'm hungry but ionn wanna spend my money on food&#128530;\"Broke hoe problems &#128514;&#128514;&#128514;&#128128;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a7baff58069e489690434fcf312fc276"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@SukMySweetness: money only impress the simple broke bitches\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8dda090d9df74e0c97c08ea8f15c8081"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@Taylorr_Babee: You ain't ever gonna be a slice bitch.\" Kevin hart. (:\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4e4ca07c9a6d46aa8ee2d4c272821d66"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@TheoMaxximus: Chrus still supahot tho\" *walks up to teacher with test, drops test in that bitch fohead* http://t.co/nb5VgdssgI\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-480bc0957b464432ae334725c79ad723"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@TweetGameLazy: I can ride your bitch with no handle bars\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0beba4f13ea84751935fddb259b462f7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@WBeezy_: \"@Run_DRC: Its simple, dont be a hoe=dont worry about being exposed &#128540;\" fight me\"why ?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9e93f3a805f245bc909de22c77cc08fa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@ZoeBarton3: @h0rheyd ewww I said THAT last Sunday..as in the last Sunday I was there. Read it again nigs\"&#128563;&#128563;&#128563;&#128563;&#128563;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1cd9b0ace04c4510ab9ddf368d84c10d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@_GeeWillikers_: Ass slapping is one the greatest things. Haha. &#128527;\" I slapped a girl on the ass. . She got mad I aint get pussy for a week\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f5b20ec718e34c2f977552f9c27951a3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@__MALIBUbarbie: Nd wtf is up with dark bitches with blonde.. PLEASE HAVE SEVERAL SEATS HOE!\" ..looking like black&amp;milds out here\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8339d68774494df2b5e315bac85353dc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@__sneakyb: I hate when boys deny that they have bitches &#128080;&#128553;\" smh\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7fa636d74ea7448695719e2076e71be9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@bleedingtrap: god teeth , gold chain\nwhite bitches , cocaine\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-32a6f92859a24576889f580d64bb90b8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@chieflottahoes: In D.C., we call them rollers, in Chiraq we call them thots.\" All across America they have been known as a hoe.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-11c8856b3fef4052b837263d889e6b6d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@djsliime: That long distance shit wack I knew the bitch was cheating\"- uh oh\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8183dfc788594e94834b86744612b70f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@gurl_Im_Angie: @ItsKiaraaaa @WestYourMajesty I'm not even shy stfu\" kikis mom: Hi angelique \nAngelique: Smiles *Dips cracker in soup*\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3b5b381bf72243a5be7a0c4710702841"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@iDntWearCondoms: Watch women try to argue with me like they have a dick and actually fucked some pussy before\" I hate when bitches do that\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ced3959a4dfb4828adac2b72e3cdad7d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@jacaxeltlu: Eventually every bitch turns into that hoe.\" # Truuu\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b942dd39f7a7416f839aea64b982a063"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@jasmyncyniquee: @white_thunduh k bye hoe\" um bye ..\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-60722a9c60a9434f904245fa6fad03cb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@kayreneeee_: Fuck wit us and then we tweakin hoe\" shmurda!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-081e376a7ef34ff5be8a048b88c6c0f1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@leikant: This is so fucking hot!! #scally #sneakersex #sockfetish #sniff #trainersex http://t.co/TubivxbxcO\" love me some kinky scallies\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-230219bfaf3a42029072417b20252a7f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@rugbysocklad: Helping out a mate!! http://t.co/eMNAdO1QOj\" I love scally play. Fuck yeah\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d34387305d444fccb3763d46be9ab52e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@theaveragerocks: Hardcore way to eat Mac and cheese\n1. Boil water \n2. Snort cheese powder\n3. Drink boiling water \n4. Fuck bitches\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-98dd7c856e954834ba1b430bb7a2f0e8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@whooligan__: can't stand a \"I don't know what I want\" ass nigga &#128564;\" bitch*\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-30c97f93b6b3498ba00edde4f8614d3e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@wodaeeex3: Awww Meat Meat In His Feelins\"i ainn n my feelings bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f90974a9e60e4ecd8750f19b5bd936b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"A NO BRAINER\"\nBut as soon as this bitch gets rich in political power, her views will change!\nPOLITICAL WHORES! http://t.co/ekEPSjWcyU&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-139565d8b8f6403c9f87a1ed81ecf3f3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"A pussy a day keeps the devil away\" -@DoperThanYola\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-31007677cda54bffaeaf02580bd52a1d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Ain't that about a bitch\"... What does that mean?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0f93ffa2d7114333a690ef15f337173a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"And bitch you must be lost\" &#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e22d0148cb164ae0b447fc6f118e8a80"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Eat the pussy like a real nigga hungry\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-feeb68947e6b44e9b354517d119c4df3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Everything look better with a bitch next to it\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-158d5f4560404a0cb8d77654852fdbec"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Fuck 5/0 I make my own rules. Suck my dragon balls bitch call me goku\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-00187fdc5a6a480f817326bd3f3abddd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Get your ass back to Detroit ya fuckin' wigger!\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fb3d0bad75024f5c86af59f63d56b65a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Girls that I dated, its okay I ain't mad yo, unless you stabbed me in the heart, no love hoe\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c52bfc16a32449c48a42bf102c3a9860"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"HOW DO YOU KNOW MY TWITTER PASSWORD\" bitch please\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1a7523149fe240ef805645007f72c773"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"He a bitch for hitting that hoe\" &#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4cba25424fe84cfa9695d8ec5b03c3f6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"How you doing, crazy bitch?\" is hilarious!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-00c174e35b534fa5bd467029eadd477e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"I can't handle no liquor... But these bitches can't handle meeedd\" - Chief Sosa\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e7eb74bc96d843c19a74248186df9406"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"I don't love these hoes, baby It's me and you forever\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d9dfcf4067a448d89a31c7f91e4c26fb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"I know that shit eatin grin! You either just fucked the girl of your dreams or you sold a car. We know you're a faggot. What'd you sell?\"&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d667e98c416b410e9c007a69be5f539b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"I prolly leave up out this bitch with my cups in my hand and yo hand in my other hand.\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-95000ce24ea94be88fb61f40e8f794bf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"IBS\" irritable bitch syndrome.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0602dd8bb87343eb9b0442f4b8430982"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"It takes a true directioner to accept Larry\" You know what bitch its fans like you that make the boys cry. #ThankYouPaulForConfirmingLarry\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8ceb1c85fb5f473e96015ccbd6f339f2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Nah girl I ain't gon be able to make it, it's been tight since Russ loss his job\" you in the back like \"damn bitch really\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-734fc29f63a04b8982a22f140df476af"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Shake that Bear ... aka two rednecks having sex on a dead bear\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8fc57576738e455e937d4bf430280de0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"She said wigga man you rich...take the du-rag off\" http://t.co/jb7J3zSbam\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9f0ff845a6374e57ae824b511ce29151"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"These hoes keep callin but I ain't pickin up\"&#127926;&#127926;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0f16041451894b52bfc4521071c8b1ea"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Uh-uh, what do we have? Your empty heart, my empty bottle, a yellow cab.. That you would like to catch cuz yo latest ex made u mad..\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-04916a93742740268a705c78b222a274"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Will shank a bitch for ceviche\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4a5baf4384284d1184a83831b540d0f6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Wow you are a bitch\" \n Yes that's already been established, anything else you have to say?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-05fd8269333c420da5b8bbf55293f871"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"You and yo boys some pussy cats.\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d1d11bcfb0e3409bb974b30f8742a0d9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"but I love him\" nah bitch that ain't love.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1faaf8c8263c4846821a615ebb956e2b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"riding with my bros still don't trust these hoes\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2442cec7ccd0436abe0c7ddc3a0c75f5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #AlexFromTarget gets a million retweets but #ChrisFromWalmart cant even get a bitch to text him back.... http://t.co/l0XTPSIG8Z\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-33435003190343bfb965f474e60bd551"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #AnnCoulter still calling #Obama a 'community organizer' re: #Syria. Well, she is still #cunt as well. So what?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c30126cf96e241699541bfae845db143"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #CelebrityLeakedPhotos YEAH&gt; NOW YOU KNOW how it feels knowing the #NSA is on all our phones. Quit whining like #muslim #bitches.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0fdc14a9e14b4dafbf57728f41ce3b53"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #ChristianBale should be KISSING #Moses ass for his fight with God, OTHERWISE WE MIGHT ALL BE FUCKING DEAD&gt; #retarded #ass #actor #faggot\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-680a1fc91a5d438b8bf3eb0b2c5da9b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Crack that whip, cracker\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bfda50f2bff1452597124b416b913772"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #DUH @Transhuman_: That's because they're possibly tucking a penis \"@EmperorIra: This bitch got man boobs http://t.co/VJvXwLrJoP\"&#8221;\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fced0297dcce47ee9284bf74ea162060"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #DegenerateArtist Isn't a bitch walks back his words&gt; Isn't a WITCH who questions a TURD&gt; I'm a GLITCH WHO EVOLVES YOUR ABSURD!!!!!!!!!!!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3d7f2aba0e10439e8ae68fbd3453fe02"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #FreeballoutPartyPart3 bitch it's going! 3 mo weeks&#128588;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3e48fb6baeb3463d80abff700b5e86e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #IfWeDate i eat da pussy better than a lesbian.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-27d26039fc644de48f54e3e838163abf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #IndigenousPeoplesDay HAHA!!! You fuckin' retarded commies!!!!! Hunter Biden loves snortin' that PYGMIE FAIRY DUST don't he? #liberals\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-61069f4e65c9453dad1e4ae569d8fc6c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #PeopleWhoMadeMy2013 my little brother and i hate to admit it but @DirkAlisic and he knows why. but he's still a lil bitch though. fuck you!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-789282c331b24475971a4c0926d135a6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Shoutout to my #MackTown niccas!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6afd4bcd917b4814a555fd2e691d9c56"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #ThatFuckMeMoment when you leave your car windows down and it rains in your car and looks like hurricane katrina ran through that bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8b8cb3ea632a48ae9f91723be31f4ed9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #WhatWouldYouChangeAboutYourPast the hoes I wasted time with\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-377bad1f4030442ba1fc02fd53256eac"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #WhyIHateInstagram it can make a bitch cheat up to four points on the scale of 1 to 10\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d3b580475ca74468acd5c653ec7322a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #anywere &#8220;@TheCooleyShow: LA = palm trees and great weather \nAny were else = horrible weather and no bitches&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d2c82b6c3fa543fdb48bc0f3f10157b7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #boom bitches\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4bf55780e7d24bdba6265b5950c1afc0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #illNeverUnderstandWhy anyone from Jersey Shore is famous. I should go be a guido shitbag if it means money for my family.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c1888dc4dfdc49288923ade8766e4fff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #pause but niggas is bitches tho RT @CornerBoyP: Boy niggaz b so bitch made u cud kiss em n da mouth!!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-81c7c6346b144c6abfe73c981c282f93"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Anal | Anal gaping tranny play panty nylon part http://t.co/35oTesnwmx\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a168851f24554db3acbee58a67fd51c4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Desi | Spicy Oriental Paki Brunette sucks an un http://t.co/OrP642PomF\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d3df7c771ecc420cb70a23992f121dff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Hairy | 21 year old hairy pussy cumming on fingers http://t.co/KvgoxkN9vG\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c0459d0343f64e9b87ef20ff95155b51"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Hairy | Hairy Florence shoves a dildo in her hairy red pussy http://t.co/4DM8Fpcb2d\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a84108e0ca654be1843b9da1dfdc7b75"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #HiddenCams | Candid pussy shots from a hidden c http://t.co/IKpJ0etz71\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a2f8d31b625544e783e5a97d5b835214"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Korean | korean girlfriend pussy http://t.co/Od1MQUudnN\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b6fe1802a296460e9e392d6e7d2891d1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Latina | Latina mature Big pussy http://t.co/D4ICvCz1Bk\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0e81400263f54027b7086f90a09a192b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #vegas #bitch http://t.co/wbAqQ5vFpd\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3ab6dc90ed524a1d951c8b7a205a6f33"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #wcw all the bad bitches &#128069;&#128166;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-261ae6a93c6c4714871026debbded417"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #wcw bitch &#128536;&#128514; @AutumnMaye http://t.co/7n5X9FyvIP\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4c4c754230364bbf9aed1beb32a20bee"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #wrongfilmquotes ..everytime I come in the kitchen you in the kitchen, in the goddamn refrigerator. Eatin up all the pussy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7cc28562933b45aca3d5bee8aa96ceae"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #xfactorau sick of guys who sing like pussies. Where are the rock type men?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4317a567f0384d1f9e7a57acb88b80d0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#127850; RT @Ms_SadaClay: I love salad RT&#8220;@viaNAWF: Anyway fuck you hoes, eat a salad.&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2a239a8afa2449b6bbc1d43253d84a77"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128064; RT @PrettyDamAmazin: These bitches started shooting at my party. Fuck New Orleans\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-84296ae544a549fcafbce0e491190c51"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128064; bitches giving back rubs ?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4942ecc21b2d410ea176285a32542d3e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128119;&#128119; you needa stop sucking dick hoe &#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d4157059d8b1486290a2decc7c3981c5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128514;&#128514; bitches get stuff done. http://t.co/GvFpk65ah5\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-821b008790054bc586bcfe7840ae8812"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128514;&#128514;&#128514;&#128514; &#128128;&#128128; &#8220;@LisforLex: No bitch go away &#9995;\"@subnorbot1: @Tats_NSnapbacks @LisforLex @LisforLex tu puta madre @carlosnoodles\"&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b9802d75d7c740c6b7dbe8da042cfba0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128514;&#128514;&#128514;&#128514;&#128514;&#128514; RT @KarltonHinez: @ItsNotHarold smh bitch sellin her ass\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-70ca67690c604958b59d62f633f1eb67"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128530;RT @LiViBADD88: so many pretty bitches coming to my birthday dinner &#128556;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9835ce5332f04f0bbf7a042f25077528"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128532;RT @FunnyJulius: #ACTRIST RT @sheEBONYblack: &#8220;@HotKommodity05: &#128553;&#128553;&#128553;&#128553; &#8220;@A2daO: U bitches tripping smh http://t.co/Ywz59nbnR7\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-568c6c5bd58d476b8c6cf2a913af4af7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128555;&#128555;&#128555;&#128555;&#128555;&#128532;&#128532;&#128532;&#128532;&#128532;&#128532; this fucking bitch Rachel needs to die please\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-af61bd9fe76e422d904991c7b442f8f0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128557;&#128557;&#128557; RT @tryna_be_famous: Brees been trash since this.... http://t.co/EvYSf5JFkt\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a2834757aafe4ce795a1a052fc5277a6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128557;&#128557;&#128557;&#128557;&#128557;&#128557;&#128557; RT @RealityyBites: Nope Thts not wht it says here.. RT @PeachDulce: I'm not a hoe. I'm a people person http://t.co/RJ1vIx7VCz\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b214fe5d29444c91b397dbe0785a6319"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128561;that bitch is from Moreno Valley........ &#128530;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1dd8b2bd91174e17932b577e88e2b72b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128563; RT @UBoyRock17: &#128557;&#128557;&#128557; these hoes selfish\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-eb8bc2078ab74cc6908b02065e5cc880"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128583;&#128583;&#128583;&#128583; can y'all females let this sink in for min? Moment of silence to get y'all bitches thinking right? http://t.co/cDN0dEYCkO\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2e6c66db6b7c4b299a0fd6042839d7fe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128588;&#128588;&#128588;\"@Datruthh_: Don't do em with my girl lol RT @thelaurenway: So when yall in threesomes does your girl eat the pussy too?\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ce7753f344b04a988197909b3a7f43bd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128588;RT @Ke2yourheart I don't want my man txtn, tlkn, lookin, yet alone speakin to you hoes. I'm not insecure at ALL. y'all hoes CANT BE Trusted\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e88ad526be35448880a58d0d3f3d3e85"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@0ddtoddler: When people refer to their girlfriend as their \"bitch\" &#128528; ....&#8221; I know how it sounds but it's how we mean it lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3426fdfe46154e0e8760198dedc26db8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@44BINKO: Denzy tryna hoe broski Izzy &#128553;&#8221;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3f9cd70307dc40528573b3166e8ac080"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@4REALROY: @Vomitdatruth no more chunky nugs for you &#127795;&#8221; he doesn't even hook it up like that.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3ed97ccab8fb447cbbe09c2432f6460a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@50TysonRap: Aye nigga, who tryna freestyle?&#8221; You trash though lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f5af0a2c9e154a3f8eda85d098072fbb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@A_Brown_30: Lmao Dylan just got called a pussy by Mr O himself @wagggggie&#8221; takes skill &#128527;&#128170;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fca7ec492bc44207ab49cd17e1ad8765"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@AdamRotter: Watch: Prust tries to hit Hank during break play http://t.co/fZ6lxcS3ok&#8221; @BrandonPrust8 pussy attempt by a pussy #mtlhockey\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c767e9e491e54d8790e174f71e8dc899"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Adrianmayer99: Fucking pussy&#8221; @JosephNoonan2\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fcb245d5dae64530ad2e37e17e55acbd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@AlanaaaXP: Some of yall hoes nasty yall find out yall sharing or shared dick with a dirty ass female and still fuck the nigga &#128567;&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7891d749e01f450da27aa6ce5a588a9c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Alondra_Lu: Ain't that a bitch&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-601f792ad8d04ef2a5fc038ec2aa15e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@ArianaGrande: is this flappy bird shit a joke or........... http://t.co/L3xDYJypjI&#8221; on the real tho\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8f838cc81250413f82ebc4996bb7d169"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Asaprelli_: I hate girls who get drunk &amp; don't turn into hoes fvckin waste of alcohol&#8221; &#128514;&#128557;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7ae06e5e2900405ba95e7235046bdbb8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@BINDLE13: My momma aint raise no hoe&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c1ba87b2c56646519ccca5abee629c68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@BarryClerjuste: I cried like a bitch after my first breakup. Never loved again lol&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c3b6637624b74a449627d91411119bc9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@BeardedGemini: &#8220;@GinaSanabria_: I have no hoes because yah nigga ain't shit&#8221;&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-980bab64533943e78dca925f95489181"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Black_Angelo25: First time with 3. Lol http://t.co/mITmFPvVLw&#8221; yuhhhh we hit that hoe!!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a42b75d4b3424bd5b86dc110e5e2c0fb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@BookerTweet_: There's starving children in Africa but this bitch using bananas to plug her butt hole smh http://t.co/DjPgA7QAy5&#8221; wtf?&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-586efda4b810486ebddf88f4919a3f27"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@ChanelleLeee: you boney little hoe \"@wizkhalifa: Smile for the day. http://t.co/DcXdFtjSjt&#8221;&#8221;\n\nThis is funny? :/\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e40599e976594544b2545c7f8bb9686a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Chris_cooper907: @AK_Mueller @B_Reason18 its Brandon motherfucking reason.&#8221; He's a bitch nigga\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4aab732fc9144f8c9e37121e049bcfd5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@CiscoAllDay: If you have a different dude every other week you might be a hoe... #js&#8221;no your not don't listen to him ladies #DoU\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-69b72ab302d6434fa00ae5ec6e1c37d3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@ClassicPict: http://t.co/ZStrqBpwpw&#8221; shit like this is retarded.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cb4445e080034e5c86fedb5696250ca9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Coley_Cee: @lil_aerii helloooo bitch?!&#8221; Bitch no ones available\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8d318a9175514f5d8f275eaddcba4d58"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@DJZeeti: RT @DJZeeti: Black bitches turn 60 buy a hat and act like Jesus forgot they was fucking niggas in the park&#8221; LOOOOOL\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d556c3ddc55c43e6a36dd25013ad924d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@DavetheBrave1: Watching #AttackofTitan on @adultswim&#8221; bro you a HAN for stealing my tweet, bitch ass nigga\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2b3782108c334b958bbd8aa0bc1a546e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@DevJayAintShit: these hoes ain't loyal &#128557;\n\nhttps://t.co/hiMKk7fYxB&#8221;&#128557;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e445ad84126442ea8e1d8bfd8d8d2843"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Ditto_Guwop: All these hoes been passed around to a Cleveland niggah&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-58fd1f8a0b9a4b068ac2cb2f6a272399"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@FxckAshUK: @TheKaosYatti Ain't my gf you lil nigguh stfu &#128557;&#128514;&#8221; glory be to GOD then lmfaooooooo &#128557;&#128554;&#128517;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f60e78fa7d6344f892725b790577d928"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@GFCRich: If Beyonce &amp; Kim Kardashian have no problem sucking their mans dick then you average looking broke bitches shouldn't neither&#8221; &#9994;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7c755e2a171c434cb1565e04a884af47"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@GaryTweets__: It's my dogs birthday &#10084;&#65039;&#8221; you should get it a bad bitch &#128521; #punny\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-41f8ac0627f948fe8b963b20552678f8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@GdoubleT: @BrianMC630 find a loyal ho&#8221;\n\n@finntasticccc &#128521;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-09798b5c25e240bd8b5b3969c838e4f1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@HerMoufPiece: They be hating on my girl tho, but they wish they was the bitch they hating&#8221; this song go\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cc96ec7d39304c1696f925ad904f2a7c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@HighClassCapri: @what_evaittakes lmao definitely not &#127814;&#8221;&#128553;&#128553;&#128553; I was bout to say don't front bitch that shit a freeway\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2fa445f7be78473cb24514cdc3afceb2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@HighClassCapri: @what_evaittakes woke up and bitches was not here lol&#8221;I wasn't angry wit my hoes&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-21c8bf0e1bdf4aa692ea0d6e242a7a79"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@HighClassCapri: Ima show my ass tonight, I can feel it &#128586;&#8221;omgggg I was thinking the same shit bitch&#128553;&#128553;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-67c865ca298d428e843842bc4d9ace4c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@HughSpliffner: J Cole is trash. I've been saying this for years. Fuck him&#8221; Lol.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-51a0195e5ae94b32b3639afaeade1040"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@IAmClatonBigsby: Bout to ride my horse, to come fuck yo bitch.&#8221;Ooh @ em tho\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9723ff4f816748c699275cb93135db82"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@IAm_Cream: &#128514;RT @DontGetGrandHoe: When y'all hoes going to learn how to spell&#8221; &#128588;&#128588;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1f94a58bd79846888b0be509b9f64cbf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@I_DontKIAra: done w. All these fuck niggas &#128554;&#128514; snip snip hoe &#9996;&#65039;&#9986;&#65039;&#8221; stfu\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85d40ca48503453b97bf7de2cd62b0eb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Iamjayla__: @WB_Pooh_3x Bol that called the girl a bitch&#8221;Oharrd coo I'm both of them tho &#128526;&#128076;&#128175;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f8f1ad9a3faf41309ae4a54991af273d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@JLewyville: I should be the Global Ambassador of SOMETHING!!! I put ppl on&#8221; des nuts hoe ahh nigga\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2c6dab86eeff4405a53edaf3184150b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@KingDakkar: These hoes out of control https://t.co/hZmf5maYva&#8221;LMFAOOO\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-47c53aa255644a2f8746e83961cd8a91"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@KinggKI Im drunk, I'm bout to bitch.&#8221;need a ride?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8594349401c845e5b3f41002c36415a0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Kxng_Jase: Versace Versace, I talk shit on twitter and so that bitch blocked me&#8221;@bremarie17\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-177c07e7935946189feffcfe38047170"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@LickMyWhooooop: @vintage_monroe_ @JustDoItSlow it aint bundles soooo nope&#8221;it is bitch she happy hosting\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6e31190418e6440db1a0607f8d0bb66c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@LilReese300: No yu can't get no money yu silly hoe...&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cebd280199b04d2fadeeee4a0a2eca18"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@MJ2307: @1Bcarter or he's eating it cuz he's with a women who just can't cook &#128586;&#8221;then u gotta get rid of that hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b4475e01ae5c48ae8ec8a8ef416b11ff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Medrano420: You want to be a little bitch, than ima treat you like a little bitch.&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-79d2cb3461bf403a879ed856d7846399"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Mojo4Life_: We'll I'm going to sleep &#128530;&#8221; fag\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fd20272fd136438289c87a224ed25b45"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@MosoKnowso: If a photographer doesn't have a back story on how he started, he did it for pussy #believethat&#8221; #CANTKNOCKTHAHUSSLE\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-492dca80f775486b85a751a520f8a661"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@NiggaImTatted: Niggas want a good girl but still wanna fuck with hoes but that ain't gone work. Gotta pick one&#8221;&#128514;&#128514;&#128514; boy stfu\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-193f21cfa064453abcc17a336fd8a2f1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@NoChillPaz: Mom : Dont call a girl a bitch. That's somebody's daughter,sister,niece...\nMe : And somebody's bitch too&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b058ecf1c632481cbafad1b2b3c9e0b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Officialzyon777: When the pussy stank http://t.co/D6iRWMInqo&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-28582257cf064a398fa5b7d51e73a4bc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@PostBadBitches: http://t.co/rPo0QUumBm&#8221; how young is this hoe with a m&amp;m pillow\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1ec2896abeb0467daed26870c9ec6a7c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@RamzyJay: I try to keep all my bitches on lay away&#8221; same way I feel\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e033bba4934c4fa48f1c3de087a8bf66"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@RightInher_pssy: Fuck her right in the pussy https://t.co/3yW7mHLRhu&#8221; I wish this dude was my grandpa&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-73cf62fa59434b0abf77c40e69c63dec"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@RihannaGlFS: When you see the bitch that been talking smack about you in the playground http://t.co/ePdGXMzKSr&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6a828f3d4e34497080d50b2aec40d545"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@RoJustDGAF Aren't they all tho bro? RT @landoup: I hate a nosey bitch....&#8221;some more than others\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-148856407d394e459dd7aef3eeb2deea"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@SALUTEmyRainbow: &#8220;@thatkiduriah: bitches be like, messy bun. http://t.co/JfFXnwV1DI&#8221;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#8221; &#128072;&#128072;&#128072;&#128553;&#128514;&#128514;&#128553;&#128079;&#128557;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-37af0e77d3544761bdee81aa395ad5de"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@SEM25LIVE Girl you eat mo pussy than me girl you shoulda been a nigga&#8221; that's that jam\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d9c3490e70284782aee3cd1e03fed41d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@SlimThickChicks: &#128525;&#128525;&#128525;&#128525; http://t.co/qMhkkQH8hg&#8221;kid in the yellow is rock hard\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b19fa30356cd4f089b8ee2b7022814b1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@SouthsideVic: I let my girl handcuff me to the bed thinkin she gon do something freaky this bitch went through my phone&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5f8ac64e46404b7599201cf7f446f45b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@SukaSuiti: \"@uce_INA: Nawwww If you a hoe you sittin on the floor and not my damn couuuuuch&#128131;\" but your birthday is in Feb or naa?&#8221; Nope\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-75c7f7e59b4740fa8daf199903c67fb5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TKetterhagen: &#8220;@lars_matthews: &#8220;@Nspan17: I really only like like 3 people in this town, everyone else is a faggot&#8221; me&#8221; me&#8221; me\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-536d47ab843449c6aadea61454436708"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TVEMike: When you catch your girl doing some hoe shit behind your back https://t.co/V4FZ6RXxWd&#8221;&#128553;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-62513080bf034d068554378c68e5ceb6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Taggs0967: @NigelDixon1 @CALiboy4 Nigel, you don't think he knows what he did was dumb? How smart are you?&#8221; Shut your bitch ass up\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4025863266d74b1ba55d4dec31f4a184"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TeeLaydee: @JustKarahn @what_iDO yasss when a bitch get paid tho &#128514;&#128514;&#8221; as long as she dnt act crazy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2818f55d5a1f4e4f97089d32b4654431"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@ThatDamnTwerk1 Beef is when a bitch titties looking like they sleep... RT @laidback_813: What's beef...&#8221; http://t.co/P2lR0nko6o\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e793655094a949f2a2b8643ccde374a7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Thatindianbruh: Food &gt; Pussy \n\nbut pussy = Food \n\nso food &#8805; pussy.&#8221; http://t.co/ZJ3zyduxkO\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-392c834c9d2f43b08fd156b7c6bfbbdd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TheRealTenski: Miss you @Ex&#8221; pussy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-edbe89bacb884c65b7664cf755dfb7ca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TheRealTootie: I smoke like 20 backwoods a day&#8221; cop dem bitches by da box woe http://t.co/lDr5s3kpng\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-75a494c1c23d4d8594d1b5414257cad7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Tinypinkisboss: can't stand a playin ass nigga&#9995;&#8221;bitch*\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5010b49109c545f48f0cd9f497681455"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@ToriJBerman: Shavonne was doing ballet in the middle of the street last night and fell &#128553;&#128553;&#128514;&#128514;&#128514;&#128514;&#128557;&#128557;&#128557;&#8221;&#128557;&#128557;&#128557; bitch it wasn't ballet\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f171fa553b884204b8f5fe24b88f450b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Traceydee98: I want pussy for dinner&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f191c26920ba441c82320a94f0219eb6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Truth_305 10 under in Miami is a keeper&#8221;not hard to find them hoes just like to brain wrestle\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-43e17b29a5264c88b7c42f506a1cc7a9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TwittahCween: Always tryna degrade girls&amp;shit &#128530; when really..pussy&amp;ass is almost all yall think about so shuuutt iittt .&#8221; Sometimes\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-24b14ae97d9e4197aa22c3b7cd2db0d2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Tylar____: This single shit so boring &#128555;&#128530;&#8221;suck it bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d5ac8950a1f949b18289107efdd6c241"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Weakass_Drex: If Jennifer Hudson can lose weight anybody can you fat ass hoes!!!&#8221;&#128514;&#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-31be86f17868405683c767bf6b5f9de3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@WorldStarFunny: we don't love these hoes http://t.co/WeKdL09bq5&#8221; @Ilovebamf &#128076;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6ae05a5490d844c3a0fd1adf3a3c58c3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_CocaKoula: Oomf a fake bitch ass nigga point blank period. Smh&#8221; AWWWW SHITTTTTTT\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-38e24c032efb4f9c856dd575d1e6f029"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_DEROOO: &#8220;@ViriDoesItt: How I lose this sweet..&#8221;you ain't lose it you hide it lmfao Viri tryna smoke that hoe to his self&#8221; &#128514;&#128514;&#128514; Boy...\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ff65f14323b64991a5d44198e05c1206"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_KingCorey_: I got the giggles because I'm a fag, I ain't gon' lie lol &#128514;&#128514;&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b131faede8ae44cc9cb50b2517824527"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_OneBadCreation: Boyfriends that'll eat yo pussy all day long \n\nUr da real mvp &#128557;&#128079;&#8221; http://t.co/6dImZ71MPV\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c48a7470194e41ff84b9b8c3b2d5455a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_ajoyaaa: Victor &amp; shawn legs don't hurt? They jigg every damn night &#128530;&#8221;&#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3b127473bb2f44748f4a7978f51a2f80"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_chanaee_: Lol someone told me I had hoes so I sent them this&#128514;&#128514;&#128514; http://t.co/B5xBkamv4X&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f8cee1561693490692975e4f0744a4db"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_mahoganylov3 Right RT @KingDominicus: Idk which one was selling pussy for $65 but that&#8217;s way too high for them http://t.co/jSDmSuCDm0&#8221;hm\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-91929376f36c465aa9034ede3dd25e10"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@badnradbrad: @whattheflocka @MorbidMermaid sydneys my favorite&#8221; she's a nigger but I love her\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8c294faef2954994ae13862388473830"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@bigg_boss23: I never get on twitter but when I do, I get in bitch fights with niggas. not even females bruh..&#8221; http://t.co/Kf6pxGKJXr\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a01b3100e21c4905a9669b2fe270d6ad"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@blyth33s: &#8220;@chaserojo: .. where the fuck is your top lip http://t.co/iZBPn0Pms9&#8221; in my pussy&#8221; @lilshwenda\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bc3edb5333194296806ca1eced018439"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@chloeonvine: im just a sarcastic lil bitch who loves to sleep and eat&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ed79e3b91c8e483ab5f0a9df6d0ab7c3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@codyaveresch: Paint brushes over Bugattis #StundentPainters bitch&#8221; paint me like one of your French girls\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-10acc3bf5e084adb8a868ef62b6e2b3a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@comedianjayski: My favorite time of da day HAPPY HOUR!!! #Drinkbreak&#8221;when the bad bitches come out and the ok hoes at home doing make-up\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ec36103ce2814b57b430156c3444ed5b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@daberellla: just demolishing this huge bitch &#127850; http://t.co/AWYdBJxKs4&#8221;sharing is caring &#128076;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a7d632ffd72444348361f138d31c8718"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@daijahshardaee: I feel sorry for whoever using Alyssa number to play phone games &#128532;&#128080;&#8221; dumb ass hoes who ain't got a life\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-09263231663f42fcbccea2cc93681747"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@dlogue22: Asians have short beds, my feet are hanging off the edge of the bed &#128514;&#8221; cuddle me bitch I'm right beside you\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fe935576c4eb4c2dbb29ba21886e0844"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@dnumberbefore2: Lol maybe I should give in nd date these hoes on dates&#8221;let me know how that work lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-04843f9417d54ae4bd4534a945db9a82"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@drphilDONTEhue: Now ma'am ... &#8220;@_PettyCrocker: Every jawn on here been tryna have they pussy cop a feel on Donte's peen&#8221;&#8221;&#128563;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-745953591b664a9997135f0a343b3c29"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@drphilDONTEhue: You know idgaf about a woman's lingerie matching when I love hairy pussy so much &#128514;&#8221; &#128567;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c938c7badf104fe5b0bde3198b5d07d5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@eminoelle: Why you let these hoes tear what we had right apart&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6a7146bffd5c40e4826a962dbfa75e05"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@erickruiz45: I just want the baddest bitch in the world right here on my lap&#8221; @7aidualc9 &#128514;&#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-794b4bf627254964a0b42097bea672dc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@garytiffany_: Make the most of what you have.&#8221; Don't tell me what to do bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7611234bcf504b1ebe14325827b07902"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@gmail_candy: It don't matter where we at this nigga always tryna holla at a bitch &#128514;&#128514; @tranSactionRAP&#8221; where. y'all. at?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1413465f40e04f11ac2c7cd224d388c0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@hippiescrub: \"I can believe that wiz khalifa and that one bald bitch are getting divorced \"&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3bdb8dd396c44fd480dd3e8ac7327709"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@iank12: @LTomasiello75 @AJDougherty13 me 3&#8221; you don't even lift pussy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4115c06c0bf44e58ba572b3a4b5b1eb9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@jcash___: @FreeMolly_ @VoiceOfDStreetz &#128077;&#128514;&#128514;&#128514; bitch I was fukkin wicha but fuck you nigga square up&#8221; and I'm fucking with you &#128514;&#128514;&#128076;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b4fcdf0dcd9f4b0baee15181f25431b8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@keyna__: &#8220;@cosmeticJUNKiee: \"need to get laid &#128514;&#128514;&#128514;&#128514; \nsike im celibate\"\n\nbitches be like &#128070;&#128070;&#128070;&#128070;&#128070;&#128070;&#128070;&#8221;&#128064;&#8221;&#128064;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-347f6d9d6f32494687bdee7a2e57e063"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@koleworld4: my name is stefanie ... &#128075;&#128075;&#128075;&#128075; stefanie&#128514;&#128540;&#8221;fuck u hoe &#128553;&#128530;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-08634f0c9bb7457d8711ab2c55e13f61"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@kriscope95: All people ever do on twitter is bitch. Get a mother fuckin diary.&#8221;&#128076;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b62e39eee197470db6f440aa594e8687"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@lilthickgawdess: @ a girl who's a hoe on Twitter &#128064;&#8221; @lilthickgawdess\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ec218cb84fd44149849d8732d3a7f592"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@mcdonavins: A nigga who gets alot of bitches is not gonna value you like someone else would, youre just \"another one\" lol.&#8221; Cut that out\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de5305adbe78410787596f7299c68673"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@miilkkk: On a scale of 1-10 this bitch is literally a 6 http://t.co/A3rMyfNUS4&#8221;hahaha\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bac8d36467ea40ca8f33a19bfcb7fa25"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@mix3ddchickk: Donny a hoe&#8221;\n\nSince when?&#191;?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-26d97dd918fe47439d3a8634db208331"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@purrdylaylayXXX: @Im_Yung_Jay yo mama was confused when she had u&#8221; lol .. These hoes ain't got no manners\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-13991ddb1c2c4e97ae578bc184a1786a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@salsteelo: I got 1 felony!!!&#8221; I got bitches\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d0fbf462b4614468bcef33685147b8b7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@sc_waters: &#8220;@what_evaittakes: Ya niggas play to fuck my niggas play for keeps&#128526;&#8221;&#8252;&#65039;&#128514;&#128526;&#8221;these bitches can't fuck wit me &#128553;&#128553;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-631c65b82cd3446d952a24f5310e0f0d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@skimaskjojo: &#8220;@1waynostra: Dat bird bitch&#8221;HEAVY BIRDCAGE BITCH&#8221; byyyyyyrrrrrrrrrrrrr bitch &#128037;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8de9f1db16b24ee7a79e02855f221238"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@souljaboy: @kmichelle shitty pussy &#128169;&#8221;&#9996;&#65039;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7457943ce4374d05a53aa61cdae7a1bc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@souljaboy: @kmichelle ur pussy smell like dumpster juice &#128169;&#8221; wow &#128529;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-daa8fb070f534dda91f00830ffbef599"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@tabatha__b: Never worried about the next bitch. Always worryin about the next meal. I'm tryna fuckin eat, fuck what you talkin bout&#8221; &#128525;&#128175;&#128175;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de7e2c92ff644f29ac8e068c28955af0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@thatloserbrooke: why why why why why? https://t.co/hvn6knCE6D&#8221;.....\"&#8221; @tianna_iacovone&#8221;you ain't kissing any bitch anytime soon\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-218805184a274c05838da561c84d98f6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@theHIGHESTpeak_: If you got netflix watch fresh that hoe live&#8221; from now on my name is Chuck E I'm not chuckie no more &#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3efa39070f6b43059813add6530118ca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@therealiman: No one wants to see curvy women - Karl Lagerfeld&#8221; he retarded\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3a9a80eededc42869d149ee31e3c1e54"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@trapwavey: Lol rt. @Cameron5833: If yo bitch don't read books or eat fruits... She a hoe.&#8221;&#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-83d36913ebce4a46922a1ef5102d77ae"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@true_east_: That &#8220;6 God&#8221; by Drake is so trash, dawg.&#8221; Thank you ass water !!!&#128686;&#128686;&#128686;&#128686;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-882694ac315347f0be7823126c523fbc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@victoriag3618: So that history test made me its bitch &#128514;&#128542;&#8221; haha\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b8c04ea06a63405e80a874d127127ff5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@waymoflydenu Them Jew Lawyers and Doctors say \"Nigga\" ran? Lol&#8221;nope they say shit like queer though\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cf412f98459d41b58f89a8b6ec2bd049"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@yahhtriick: How do people even get crushes on me. Im like a total bitch.&#8221; &#128129;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b817321d39df4d26be4a7f886bdc47be"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &amp;&amp; some of you hoes too... http://t.co/yJPSMAS4k2\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c2a15a2f6b254fbf8970cfa38b2c8e50"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &amp;&amp; when Tha bitches start hating &#128553;&#128553;&#128129; that's wen a bitch lost me &#128588;&#128168;&#128591;&#128175;&#9996;&#65039;&#128581;&#128064;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d38045f366114beda6c2668816330bc1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Broke Tf outta this niggah at 24 &#1041204;&#1041204;&#1041204; He stopped playen defense and all\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a30832e842c448f59f17d1c5430abdb7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Cause these hoes ain't loyal ! And niggahs ain't either ! When it go down you callin for hittas that you ain't... http://t.co/hj8GAfFZaM\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-010b5e73d6ae4d59beaee48a0e389f29"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Hate a female that got the mentality of a niggah .\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7f460cb64da24dc4a4d785b87d166b12"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' I fw these niggahs everyday , Neva changed up , always been the same to a niggah . Been thru shit with ma niggahs .\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2664ad6deac24bfa913cdc82fac3f1c8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' I told this niggah Maya Angelo died.... This niggah gon ask me \" is that the Red Ninja Turtle ? &#1041204;&#1043473;&#1043357; Wtf .\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7641277d57014ef3bc49bc694e24b74b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' I'm that niggah you can show out in public babbbbbbyyyy &#1041191;&#1043215; lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-161c9ca229a4480eab19c1d44e60531c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Id rather sit at the house all day and jack off then bust a mission to literally only chill with a bitch &#1041204;&#1043473;... http://t.co/MEtM60bG15\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c296e5beab814c17a8c89c0f9aaccdcf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Idk why niggah give a female head then throw a condom on lmaooo niggah you already ate the whole STD &#1041204;&#1041204;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6072c162234d4515a05514d4db0b0b17"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Ima kill that pussy straight murder that shit , and Ima eat it , eat it , eat it &#1043291;&#1040788; And lick it till it slaps . Aye &#1041237;&#1041191; .\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ebb2596957264ea88056bd9732372801"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Is this Jody ? The niggah that got ma Boo Pregnant ? The niggah that can't take responsibilities as a... http://t.co/7ufNJ2NJhp\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dec5af14ef4e47d98c1735de88b9c9d2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' Ma niggah Alsina be doin his thang . http://t.co/IZA7Lil1Oz\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-735160bc1f6c43c59c64233de6cb3136"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' R.I.P Deshawn &#1041243; . I don't know him but I know a darkskin niggah in the hood named Deshawn getting shot tonight .\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-33fce99b4684432bac19ca423bbffbf8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' She drippen vanillaaaaa , she know I'm the pussy killaaaa &#1043291;&#1041196; .\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9aeef24d33844a1685d904af175c4b95"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' South Central niggahs really don't be lovin these hoes , these hoes don't be lovin these niggahs &#1041233; . We just be... http://t.co/XnTftnwuVD\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d8b006050faf4d1d8c5365fbb5a1fcdc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' That fb profile checker thing fake then a mf , I just added some bitch yesterday and it had me on the top . Fuck fr ?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-758a6055dc0741518c57b9b343adf3c8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' This be me &#1041204;&#1041204;&#1041204; \nCuh went from \" Its time to settle down \" to \" Where the hoes at ?! \" &#1041204;&#1041204;&#1041204; . http://t.co/bi9rbvjTUn\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ad96290aa6474047b4617222258d14bc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' With my Bestf Shyanna Pen and ma main niggah Ronnie A. Jackson III &#1043359;&#1041636; Movie bound after we pick up the homies\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fb754f804cc24d199521241c52a4d73e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ' You niggahs actin like hoes , I can sale those ! &#1041204;&#1041204;&#1041636;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-787f415e49c147ce9fb5741c74898346"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: *Sings* I killed that pussy she died with her eyes open!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1d74b7ff07524806932da94bee00b0de"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: *Teachers call you a pussy for not doing senior skip day*\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fb423c2176ff4bb8abac53f0dd38ac03"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: *pregnant crazy bitch wus the answer we were looking for...\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5d55a42c956843e0912adc3d2c0e16a1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: + 1 RT @RayThaGawd: &#8220;@_AListRaivyn: Joe Budden makes people delete their twitter accounts lmfao.&#8221; He's pussy tho he blocked me\"\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e7a0116a7e004f199af7ef7de3cf0171"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: . @_HISTO requires soundcloud links and tumblr bitches; he MIGHT let you play his party then.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4da668eda24f4baca39972054a3132f8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ... lol nah hoes we dealt with it so will y'all &#128128; http://t.co/RXTJwwKfHJ\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2dd1ec7e89064ce383d46eab88762d93"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: .@rustyrockets with Putin pushing for land and China completely revamping their armed forces? You're a fucking retard. Stay out my country.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bfe9e0fd87114fb6b87b5b270fcd51a1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 1 more game of 2k then I'm finish my new book ... John Grisham cold then a hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4eb1d10b83fd4cb0b41d3f5ef02171ff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 1, 2, 3, 4, 5 I&#8217;m too drunk to walk, let&#8217;s drive. I got bitches with me all night And the party don&#8217;t start 'til the drugs arrive #Loaded\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-44714fab2bf54e0c81e9837307b2cfa8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 100 days til Christmas bitches\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8556423e27a64398aa27e1ac6b9d7df2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 100 mile dead zone radius around Philly...gotta go to NY or DC RT @CeeRoss The tri state needs better bitches\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a309e98ed5d04160aba74e6868ed572b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 100s 50s 20s yea I like my money in order bad Asian bitch yea she look just like Kemora\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-544d7cd6fe9f4a0ca23d20306000a21a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 12 was like \"Blocked bitch\" &#8220;@NoBeeetch: Don't start \"@bdoulaoblongata: They are blocking us in #Ferguson http://t.co/ymPzHmzUxG\"&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2cf3bf02654243678a29c287ebd5c001"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 18 yr scrap from out here might get life in prison for murderin a norte nigga by el pollo loco off of story rd.&#128563;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5c84f679235544d98e257ad10c75c46f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 2 or 3 hoes for everything &#128527;&#128520;&#128526;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8b10a6ee0a1b496fbb8fa1298911efc4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 2 year starting on me on the street... so i put a fag out on him. #funnyguy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dbc21be4561a4de29690957e9752b618"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 2+2 not knowing wtf it is bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2df739b6b561454aad174e5beae63bbf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 24_rozay_idgt mad cuz Twan fuck his bitch&#128514; http://t.co/GoyZfOU46I\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f998f2d4b9a04bc2898bcfe45b2fb93c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 2fine4cheapwine@yahoo.com &#171;@Datjollygirl So who used my email address for this chat line? All these bitches hittin me up &#128530;&#187;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fe5a388094eb4f69b451e75f2b7e8ccf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 4 fat hoes ina caddilac. U can tell they jus lost dey luxury car ride virginity#hoes too happy lmao\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-400c9d3f09cd4bfb895bce73d4696bee"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 7 years later and this bitch STILL didnt learn her lesson. lol I remember she was the first major nude leak of this generation\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-294dbce3e92c4d77a7541c5864bc2562"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 8/10 of the girls u went to hs with look horrible now but don't wanna believe it....I'm bout to piss them Facebook hoes off with this\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2d462170aaf94f8fae209b34d2654677"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: :/ well that sucks that Kobe is out now... he's still filthy, you can hate him all u want but if you dont have respect for him, ur retarded\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-750ef1355b764246957167a15e854dba"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ me bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0e5244373d4b4420ae18d6b8350f196b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ me tho &#8220;@_Mashphatrabbit: This bitch wants to be included so fuckin baldly bruh!!!!&#8221;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bee5a4662e3d41cdbcf4b0869ce2678b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ the chick who is gorgeous and so fine but her pussy stinks\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e2870950a02c4934b88f657fc482df98"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @1000gramsBee bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-10627b8a1da244e6ad2b8dce8f9e22ae"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @1D_NIPPLES_ bitch you fucking told me to sit in that seat and yo dumbass come again saying \"why you sitting there\" bitch #vote5sos\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9a1ea1f55a9340a29e159f0e08e403b7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @1Josh_Warwick3 @ashleyypat17 fag\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6408c6e8edd0436eaa4619766cff549e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @2LEGIT4that Lmao &#9995; Excuse me bitch?I am not Soundcloud\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0af3d126473a478f91f358ce35853e54"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @2LEGIT4that go be cunt somewhere else\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4bfdff5da0ad44a3b7e5fd634323f684"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @2ManyLouboutins @moneydriven stfu hoe and fucking answer me before I smack the shit outta you and your faggot aunt.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2dfd565a353849adbebfebd1499d6ed9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @2trippymcneely if it's trash I'm kickin yo ass\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d4d8e107bf674f41a8e5fbf2ca445d49"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @7aidualc9 u said \"@ me hoe\" &#128514;&#128514;&#128514; so I did...\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4552d2408d0e44458ac92a86855767d8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AJ0427 @AshActually Hey, I don't always go there. Sometimes, these three crazy bitches and one suave MFer trick me into going with them\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ad6bebb267cf4b649331ba20184a965f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ASipOf_Mocha Dr. Phil, I'm having trouble figuring out what my fat ass wants to eat, where are the drinks and the bitches?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c010500d43474bdda2829fec9bbff9e0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @A_M_Perez they are little bitches when they are proven wrong. #MomsDemand #gunsense\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-96a0ded42c7844d4b3cec454b940f670"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AbstractLife two trash ass passes you know damn well you saw it too. on 2nd and 3rd down. before Santos won the game.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1c38d9549bc4472c9177bb71c9fd750a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AcaciaBrinley crusty hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-55d171ec016b4fda9ab57b74d1e9af72"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ActuarialReport We've tried. Each time we go he just sits there in silence and I cry like a bitch and sweat.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-39ee0f1046724ee689bd6123444f8d68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AdamBaldwin Really?? Bro, that retard @SenTedCruz even missed the point of GreenEggs&amp;Ham! It means don't knock it til ya try it!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ef5d2c4deb744096bd1776dc918876b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Air_Zeke_12 hell yeah I got bokoo hoes when I had my fro\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-74fd4524baef4bfeba40e21853cae6b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Alejandro_Bihhh @CapoDaAssHole I'm on this hoe like this every night just be tweeting bullshit\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f67a0730b7fd4354924414852a9360f6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Alejandro_Bihhh lol I was bout to say. Shit income tax in I'm Tryna find me a bitch for a couple weeks\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d8c2c48b3bcd48f58d940ae2fa6c47e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AlexaDelsanter bad bitch with me wonder where my manners go\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-29ab17c6bda34ee7be2891ff9ea3df75"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AllEyesOnKIE &#128514;&#128514;&#128514; real rap fucked that bitch lay up for the day that's really disrespectful like bitch u couldn't feel the throw up coming&#128530;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d014ce464ca0435ba6696aca1211b5e4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AmPowerBlog haha, says the little bitch who let someone take his phone. A real man wouldn't have let that happen. A little bitch would.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d88c98e307604606a56bd15c468dab32"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AmirEldouh @jwheels3 Ali is a hoe for that\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7381724aa4cb4c9fa8402207dac4a1d0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Andreaa_olvera shut the fuck up hoe ass bitch fuck squirtin ass cunt hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9ee9bbc27e1f4208955f77605395ef56"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Angllee2500 ain't nobody offending u fuckin peckerwoods I despise of a no good white ungrateful honkey\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-59c39d39e23340699cc1ce1d64b763cc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Aram2432 @Marco_Spatula who invited this fag?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b74db6b3a8264b79a128953705f720f2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Articulate_Aura bitches don't know if they wanna play basketball or look sexy bro\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e66776cc5a394361919419524e092078"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Articulate_Aura bro you know I can't not comment on stupid shit like that..bitch Instagram a heart attack on a plate\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-839fbf8558b4421ca21684d57a9c388b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AsapTwelvyy hoes.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-78a0e486013b4d8fbba61ccaab696d6b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AsvpRvchel @kittty_jpg @nosfiend215 nah im forreal both of yall pussies smell like some dried up crusty fish guts\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-da45fa73558b47f7927667923cf3321b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AtBlackface @MrMooncricket @UncleUnco @BobbyBotsods @FuckTheMallcops @RacistNegro69 fuck u bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cba19197da404b05ace0208599495aca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AustinG1135 your the one keeping me up faggot!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-322ee524292f45e0b5db6718ef9bd3cd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BOSSBITCHDAPHNE yours a dyke&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a3fa3f6eebc14413bbbe48aaced8a44d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BUNNYDaHONEY &lt;= got all the hoes\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-57cde71dfa414d608bc5c27c2b760a35"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Badbitch_Amen @JoeAnoaiReigns I put this bitch to shame&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de16da33873d49bfa58421b65302e6a8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Barbod6FCB oh really and that's word where u be at then I wanna see what bout then, I don't wanna hear what u gonna do I want see it bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cce5a6145b394c2fbe9d2fb8ae9c5c61"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BarneyFranken @jennykutner @Salon salon is is chuck full of butthurt liberal retards\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2658be3b9f734fe5b370dc0b2d6c2111"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BeenSlimm I just don't want one these new bitches that morphed in to a super playa because she see how the world is\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6b80128c395e43729c912d14cde14fa2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Benny_Balboa not to yall thou! Yalll fucking glad bag trash\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0a24b46f7d6049208845fcff860dd3c3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BigDaddySniper you far asf too nigguh\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0c0df31fff124eb9b0960fafda726d1c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BigLovemusic Bruh that won't happen cuz I can see that big bitch or it before it strikes.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5f0762a7015c47df974b3d12ca7dd83e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BigRed2OTS she prolly got some bomb pussy too. Lol I hope haha\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c90df910aaed4aa7bdae8a995b5c8fef"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Billythathird @Dimi_Artale aye were da fawking ginzos of fawking queens and fawking nassau\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0016d0c150554a68b19612205af1d318"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Bombfantasyyy @Angela_Mastr lmao angela you look like a damn potato bitch, keep talkin\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85226f68540b4738836404391a877439"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BosleyXavier I trip on acid not bitches.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e07f90bdc71148d8a1dca88959482ad8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Bossman_Carl wake your ass up hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2f111ed3bd784b078b5846ea1c55cbb6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BranninWGL describing New Pussy like a Baltimore Love Thing out this bitch.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-766425a5ce394d45bde175d88ebb36fb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BreadTruckkBri I know I was playing that hoe start on the 20 tho\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9e628b563c1a44848158fc864cd3ed28"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BrendaGisselCA then what the hell are the perks of being your hoe? This is some bullshit\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-37b4295a783149dd9e4e72bff2800c63"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Briscoefunnyguy @_KaeeJones I gotta see that hoe in person cause I'm sleeping on that hoe for now\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c4a724225b9949ce85ea8d4d30282c3b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BrocktonBitch \nWe niggas like fuckin roaches. Let one in and you hot dam infested. You a crazy bitch. I dig yo ass\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4be170bcebb44a1896f10ea916393e6b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CM_UTLR your man looks terrified in that picture. Do you beat him? Or just treat him like a regular bitch?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-248108308c184ddd9065dd670e3f42e7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Caliqueeen14 you da realest bitch out here Amber\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-74adc0cabc664e1eb6330c8a1de98d35"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CallMeRenee_ wussup bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ea0ab1deba32458ab9ada6d42a8c9a82"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CapoDaAssHole @Alejandro_Bihhh damn that hoe just came out but look at how many hoes said his shit jamming on my shit\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-29e454bd704445509d9d830d13eaf411"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CapoDaAssHole @Alejandro_Bihhh lmaooo I wanted them hoes she was suppose to hold em\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-949d119afe5143da8785412b7526eb93"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CapoDaAssHole @Alejandro_Bihhh whatever turn them hoes on z-Ro ain't gone get the bitch wet\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85f1c346ba004e15b592637211fbaa32"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CapoDaAssHole lol that hoe for 5yr old\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3df4a783987948a9b3e569ce455fc253"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CarelessOne92 a young nigga turned into Mr. CATCHMEIFYOUCAN....I'm in da field my nig #WEDAOPPS #FUKEMWEBALL\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c2f8a6d76abd46ff8256ce5f21953837"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CarelessOne92 weeknd make muzik for the hoes b, im tryna meet these women he be talkin bout\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-da75965b31a34270b89d7941150cee18"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CiscoAllDay why she a hoe we know about 5 dudes that hit Kim, 5 these hoes out here doing that in a week\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8720cf964fed4887886ec35e1093d1ae"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ClicquotSuave I would dead upper cut that bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8b7233497ac7483da8848d5f37ccfb0f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ClicquotSuave my nigga what her pussy smell like?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-461bbd5858e243888a4862244c5473a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Coley_Cee bitch do I look white to u\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-81aaa1a9ccd34f439d699e84c4bd8e3c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Coley_Cee bitch kill yo self\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c2bc4f8fd12848b391e78b21679837f6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Coley_Cee bitch stop takin my shit ooo I hate u u dumb bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b08331f111834d8c936f9f83959d06cf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Coley_Cee lol bitch u forcin it have a glass of water bitch u a lil thirsty for the puss thang\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dafdfcca6aa24897857f549a10fb3979"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ConManBO @LastGreatStand\n\nAnd a major league bitch too!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e77a9a77dfb3446ba6d8fbb02bacdd17"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Conrad_MLG im goin now so be expecting to get slept faggot\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-324f036758e4464d8dc5e5393fdf6422"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Cotton_Candy9 hell Idk who did but that pussy better be golden\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5c6adcf0441d492c884e4583c988df27"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Cotton_Candy9 lmaoooo aye people person so you know lil Rico got hoes hahaha\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-29d4338068414cb5b41b334f7e5f2f55"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CountryRedBelle I thought you'd get the hint that we know you're a fake cunt and delete your fake account.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-aeaf5c3345d74c6ba9a3b9a1c3b4dd44"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DP4_6 bitch yu not safe! http://t.co/hInvxbUp31\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c647f856d398400b93dbafb7c6367c17"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DSwaggin6_ @_JustDavilaa @xaviee_21 @Quise4144 look at ur avi u fag\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f9ee44b0aff94851a93dda32bf1b66c0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @D_41395 bitch don't b a hypocrite\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b90938c41dc44835859a5ce8cb52a2ad"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @D_41395 cuz I was gunna smoke u out today. U a bitch tho\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a5735a264b6849658a8c90b335433ca5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @D_Palomino52 @TheOneMiss_Luu you my niggah though Daniel! Lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-69af0d569d514f188c777a159ccb9427"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DaJetlyfe my nicca\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d9cad040c1cb4ceda802f98faf72fafc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DamianHuffaker haha just kiddin but ya we should and get that fag @taylerhatesyou to come and well go fishin or some shit\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4ff121114fc84f6bbaabaf99357e4cd3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DanielM023 Hell na !! Hes a honky brah\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-21d9ca5198274bcbb68500ad16ee65c3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Darth_Snuff I'd sell anything if people are willing to buy it, how highly do prostitutes think of their pussy to sell that\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0294bd1f9a834708bc495049526c73af"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DatBoyRayT bitch ass nigga Rico &#128530;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d92bd853b8bb4d5faa36e7772dd11039"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DebsFLPx I was lucky to be sensible and I've never had a fag or a drug. I'm pleased about that statistic. Yes I have a beer but that's all.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ac54d016ac1343c6b6139aab0601b0ca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DecodnLyfe @LupeFiasco @Larellj another black man? What does that have to do with anything? Once a monkey, always a monkey, Chicago idiot\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e4b9a9b74e584715a92604d82c8e066b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DeeJay138 @FuckWatYuhHerrd I couldn't care LESS about these bitches!!!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e7c11e7216034d18803b5337531835b5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DeezNutsDoe shut your mouth you little fuckin bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5d30a311db39482d8a520f5fde70b576"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Diishaidiamond lmao yesterday ? Them hoes was cute af lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f409bb42fcdf4bee9a8e9ac874809f18"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DrMalvo \nI likes it back dare. It's free fo me cause whitey pay da fee\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-420adb18bfc94d8d9c7d8916705886b4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Dre_Day200 bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ab72d1b81c66454dabdd5edaf8300054"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DrunkAtChurch @MzYummyDread Slide up on a bad bitch/Dat bitch look good\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-70b43da01d6b4b2090076dd9c8ecc90f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Dswizzle3 naw u keep it 100% fake get yo lame ass on somwhere wigga hell no get on somwhere\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ba720c4139e741a0943cbb73b8795085"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Duckin_Fope thats a win right there. any nigga who doesnt partake in that is a faggot. even if they dont smoke.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-66fbdc8bfdc846fe8f9bdb3d55086f37"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EZadick don't fail bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-baa36783e6944092b1c6be8d59f7339b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EaglesandHeat @Bpfillherup @SoleUniv nigga you done bumped yo head. Li nings fire but Kobe 9 Elite golds are trash!? http://t.co/NaadECTQAk\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e2f35463b01449bf84cfa4fb6f66bc54"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EatMyTattoos that was real nicca shit tho lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a701ee62006f4d88b65be97b51f59bfa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EdgarGuillenjr @imthatsubieguy @blakeanderson21 @joshhandsomee87 you ain't 6 feet under its not over pussy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c9d6f3903ec54d1fa8c12813ae82a91f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EdgarGuillenjr @jo_clark6 @blakeanderson21 your a bitch if you hit a girl\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2cc9e96f2fb04c56bc8052e6a7ff0a42"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ElyssaJankowski @ComedyTextings haha she a stupid hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-efe636c8863f4210bfccd32f888e0abc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EmmanuelRodz11 WILLIAN up in that hoe &#128514;&#128514;&#128514;&#128514;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d61587915fc047cc9d46d3c632674c1a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Eric_Mariners @JC_1221 point that sasquatch bitch out\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-feb66e54a3894f09a015539e21e5ae47"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Ese_Miro bitch please &#9995;\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3e4a413e8c5447bc9af1d9f9d058b9c1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FabianMleal no bitch lol I'm not about that life anymore\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-58341f07630f4a54b2e4d5a139970898"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Faisal_nizam khaye I can't see your freakin emojis I'm a basic bitch today.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e9e062cbf6424b50a65baefbea3320a6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FernandezIce quit being a pussy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bd8166060a474630916abb2e56c88e38"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Fit4LifeMike @chanelisabeth shut up fuckin beaner\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e53b91ff2186436e9a259e6aa095153e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FlawlesS_Dv @TehDucKii pussy ass bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6c90f5491b324e6484bbdd423db9fe1e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FloralElephants *pom poms* YOU MAKE THAT SHIT YEAHHHH\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9c49b04125a7488da95f732dcd6b5582"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Frankiee_559 dont be a bitch man up lol :)\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1ccd642b05e44362a1f8752f800f5138"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Freegeezy17 nigga look my size, plus it get hit in the ass, an look like its been fighting all its life.... I'll sneak dat bitch an RUN!\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0471164ec7114768887eafdef3f489ca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FuckTraVonn ahh I see, I'm still a rook about the knowledge of THE hoe. But I'm progressing.\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1090cf6492ac481ea3d4716712d2793a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FusionRocks @jumabr \nI likes me dem Mexican hoes. Day suck me off for 5 dollas\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b548776a78a14973a7e6ac05d29fd8d5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FvckMike_ bro this bitch really stood there and was like you gonna give me my penny?\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-eb47f43ad80a4c1291d2133ecb4a4244"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @G27Status @VikkiFusco @flyersfan You're still a bitch\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f9a8441d088e4173b72f257b36aaecce"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GOOSEmon420er you were there bitch lol\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-17cdf5c7055e408a98db1c9f5108a267"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GOOSEmon420er you're being a bitch lol but naa serio wassuo\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-067d068c17dd41e0b951ab463ef8029a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GabrielaAngela4 @DeliaParedez @StephyRae7 @TheOneMiss_Luu @Ramona_Pilar @rikki_lovee whatever Gabby! You hoe\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e4645cdfbc93426489c3fa6b784cb44c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GallagherEmily nigra in da back\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d76460b3ee5a463b97143c6a596900b1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Get__Em__Craig I was sleep hoe where you at\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e080ddeb5e254e49872cd13ac9869e37"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GingerDemoness \nDen you enjoy da nite wit a colored man. We do it again in 2 weeks. Lets me no if I needs ta bring da magnums\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7c35b006fe0d4f51b602704ef37f8c76"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GingerDemoness @jcapswgr \nAll dem colored boys be sayin I dare baby daddy. I gots to protect my semen under da lock and key. And I wrap 2x\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-392dc9585eeb4d84a7733c3fd07a5a5c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GirlThatsVonte lol nahh bitch dont put yo life on me ole cant drink water after 8 ass nigga #PissinInDaBedAssBoy\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-89f6cfc2c83b4a5aa5d6405713c54d0d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Gjulio34 we don't love this hoes\n", "labels": "Offensive", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-37221c677d774dc78ecf9950feb0aded"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@JReebo: Who wants to get there nose in these bad bois then #scally #chav #sockfetish #stinking http://t.co/FeQxgN0W6I\" hot sox and legs\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a967d3d717cc4c7b9fe7830aa319c40c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@RachieSoul: @DizzleOfficial inna di ghetto!!!\" You alone lmaoo\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-274d336cb813413896c945c6fd11d2eb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@SportsCenter: Eli Manning just threw his NFL-leading 27th interception of the season.\" Lmao trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9cacd15f6c6946308b69e01a942aa06b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@hxhassan: Jihadi patron Hajjaj al-Ajmi is arrested at Kuwait airport https://t.co/ZmloKfWDQl\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c28bb5c9f8454dacbbd10ef0f0ad6d47"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@oldpicsarchive: H.G.Wells and Charlie Chaplin http://t.co/sTiDDHK3WT\" #History #Photography\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2925d1242e9a4cb2a1d76d66fc94ea80"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@rugbysocklad: Fit lads! Nice gear! http://t.co/ThnXX1lC1M\" these scally lads n trainers would get it\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-49c0a29f783d4803af3b5e71876f0e72"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@soxdawg: RAWR!! RT @skinrubberboi: \"My\" sexy French scally. I love him! #frenchscally http://t.co/5idQ3R5Akz\" sexy scally woof woof\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e05662136e0c4e59abb2803aeb3f014d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"How about we draft all those gung-ho folks and send them to Afghanistan or other war zones so they can show their... http://t.co/sR1zceHx\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a450cdebdf8b4724813f1ea49fc50901"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"They have to. That division is trash @NoMeek_JustMilz: Saints gon win the NFC South...watch\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b5828f5227ce46bc88ffc41e5a21e76c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Two roads diverged in a yellow wood, and I chose the one to J&#246;tunheimr\"\n- Robert Frost Giant\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-51db1200118a458dbf765e5c880af1e7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Yaoooooooo @yea_im_JAMAICAN: Mawnin yardies! &#128154;&#128155;&#128536;\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-16b55ccd3b444ebe88e62b59402d5f68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #BigBird was made by a gay couple. So yes, under a GOP world the bird would not have existed since its creators would be in jail for sodomy.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ccfd40a661c14134bd00487fa0b3557f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #EarlyBird #early #morning #sunrise #dawn #bird #thebird #jerryreed @ Kansas City http://t.co/kuVq8UpwUw\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-01c00be8772b47be9f21eaba914ee1aa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Glory Isaiah Mom asked me if I wanted a brownie I said, no thanks \nShe said what are fasting,\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5b0bcb2c544f44e7bb0b019d5a9d1799"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #HappyColumbusDay !!!! If is wasn't for #America.................#KarlMarx would never have thought of sharing #colonialism with #injuns !!!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b6d9b114f8a6437facf973030c363421"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Iraq gov troops were handed a severe defeat by #ISIS at Saqlawiya -- there's chatter of over 300 soldiers lost &amp; Jihadis raving about it\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a3717de71434456eb40e9d8197763187"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #NowPlaying : BT feat. Tori Amos - Blue Skies (radio edit) on #1069TheArrow - http://t.co/R5wuXA9jB6\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8a60a82c478848baa1e1bf34d1726f75"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Yankees #Jeter Let him play the entire inning. That's fitting.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9bff630c889946c381f655e733d84412"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Yankees #SEC Robertson in. Guy is fantastic. SEC pitcher!!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-731a75dc575043688f767996e8b943b4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Yankees Damn. Well Joe that move to the bullpen really helped.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ac69de64e9844ff9acc9abc64caf7162"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Yankees Nice bounce back @Michael Kay. Gotta keep this going!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-58f53abd4e634f32b936ca237016ac92"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #Yankees Primo! Just got home and the Tanks are on MLB. Finally! And they are winning! Even better. Time to get serious, Sept call up time\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-edec5369cd7a47ca8515df8c45b8c77b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #iubb #1 suiting up again tonight! #Indiana #IU #ncaa #hoosierdaddy #HoosierNation #hoosiers\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a4f662188cb74547adb857c7887c17c4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #metal only, honkies!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-39d05b2809bc4ae48522dfd07dc584b0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #mt browngal #gouache #monkey #tiki http://t.co/kFhj8lWhbs\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-66d89443c53f4b96912f58877f116891"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #rejectedpeanutsspecials Its The Grape Crackhead, Charlie Brown!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-78808e71397b4efdbe9c01238b02b853"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128557;&#128557;&#128557;&#128530; RT @KingHov1313: At work imma real Uncle Tom!&#128584;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0f5d1e8123084126bebe342ec09c7d1b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@AshlynWynns: I'm a \"mud shark\" because I have black friends. Makes perfect sense. &#128514;&#128557;&#128514;&#128557; #idiotic&#8221; @\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1cbeadc00a8d4d43bbe7dafd7459dba9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@DIYcookery: Oreo cookies&#128523; http://t.co/8zcjWW56Zz&#8221;bruh &#128525;&#128539;&#128553;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dd500c89db7547bf8f136c3ea4d14d2f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@El_Grillo1: Islamic State suspects in Indonesia are Chinese Uighurs http://t.co/58IDicaHzT&#8221;\nUighur Jihadis: they're not just a PRC tool.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d46386564e5847a99d66249d3153d52b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@HumbleTeej: @elisabethepps where am I on this rating scale???&#8221; Depends. You still wearing them colored contacts or naw?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-99488973e3e940878a3c1c778be7ee0a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@JohnelHadleyJr: Uncle Charlie just got thru lip singing?!&#8221;haha\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-00be1c653ab040c298ed7aae990ae983"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@KarynHalpin: Where do all the foreskins go when they circumcise a guy?&#8221; the Foreskin Fairy takes them after you put them under your pillow\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c3d6cbbf79ad4ec5a3b94350034d39f5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@MomMeMustHaves: MMMH Daily is out! http://t.co/bPtRtXcel0 Stories via @KristinCruz&#8221; @ExMoShow #yellow is IN! &amp; @romyraves luv the bling!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b587b04931d3499082a55234a4e462e2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@PlMPCESS: In the fashion world \"urban\" means \"stolen from black people\" its ghetto on us, and urban on them haha http://t.co/S0XWGfLJ9C&#8221; &#128588;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f7a25bbb6fd442c4a92c22c1d120a91f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@RudeNation21: When girls take my snap backs and beanies lol&#128169; that's 35 dollars a hat and 40 for the AX beanieS &#128530;&#8221;I don't let them take it\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-13076051a7574cd9b0651c72f5e6ab8d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@iCARLEYBBY: &#8220;@DJZeeti: twitpic a selfie with light colored eyes&#8221; http://t.co/BSOYlL83Iz&#8221;&#128525;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9c5b86227e9846788071f85321b44d6d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@nypost: If you used the ObamaCare website you should definitely change your password http://t.co/VEd4Yyztok&#8221; hahahahahah that's sad #boon\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a27106a592ce4091b4976ba5031ba881"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@rihanna: We raided Nicki's wig closet for the summer! Bad gals just wanna have fun! http://t.co/0paNscImEw&#8221; this bitch has the a nerve smh\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-abf4c0b5620e434fbee3ca0dabe4d2d2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@sorryimalex: I'm only back cause I don't wanna see the boys lose to trash #vote5sos&#8221;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-54ea5d4d2d2049a19f7df83b0369fd4c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@wwwobert_: B Oreo a stunt&#8221;come thru &#128293;&#128293;&#128293;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5aa89ee3ebf6438d828f6fbf65be4ea1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;There is a time &amp; a place 4 decaf coffee. Never &amp; in the trash.\" http://t.co/ZVJROXgNDQ&#8221; #MommyMonday humor via @JenerationPR &amp; @theskimm\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8013383e8ee34ae8bb6c6097d60241b7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#9733; BEST ASIAN MASSAGE ON THE Brooklyn Park slope --TOP RATED SPA &#9733;718-622-0221 - 24 http://t.co/yRfdaIooYZ\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7fa4fc1000254b6b8454c5c2a0b121db"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#9733; BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA &#9733; 718-622-0221 - 24 http://t.co/1xTCOome3v\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1ee87386a2d543f4bc3ded294e6e7850"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#9733; BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA &#9733; 718-622-0221 - 24 http://t.co/TQS3wPA6O7\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8ee221892dbc4ac6a5b998c9e0c7f89b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#9733; BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA &#9733; 718-622-0221 - 24 http://t.co/dyYvrEJAm3\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b9413bd1f3cb45d9bfde0256144c06e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#9733;@&#9733;@&#9733;@&#9733;@&#9733; GRAND OPENING ! &#9733;@&#9733;@&#9733;@&#9733;@&#9733; TOP CLASS &#9733; Oriental Massage &#9733; PERFECT !&#9733; http://t.co/O8JoZOKFEI\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-897e2c958cca49d6b42f9de8cad08e54"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#9733;@&#9733;@&#9733;@&#9733;@&#9733; GRAND OPENING ! &#9733;@&#9733;@&#9733;@&#9733;@&#9733; TOP CLASS &#9733; Oriental Massage &#9733; PERFECT !&#9733;/ http://t.co/4Hhxk9MKHe\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-60483b800f594d88bdaf4a090eb67081"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: *waits for Fanduel to hit me with the jig*\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1aed91b22b5449618dfb9772f38fe69b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: .@everSoTweetly4u Klain's real (sole) job is to dampen down the mushrooming bad PR and political fallout heading into Nov election.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5103ff1600d742cc93eb0645f3eca9e3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: .@nathirhussein Al Qaeda's market share is dropping faster than Viacom &amp; Enron in the Jihadi stock market\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e03cbb92316c4c4894d1fed58febdcee"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 12 oz arizona's trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5a41fb4fab7e49b3b56d301e751809a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 4&#8419;2&#8419;0&#8419;\n\nmoke up\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-71839476e945440e85e73eaab4c2c11a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 93 feature car\n\n1 of 1503 yellow and black feature car. buck tag is on the radiator support. 67,3xx miles,... http://t.co/1nkNfZqBo9\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e37555f521b742f3a4fd4e03cf8f3763"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @1Corinthians126 #BooksOfGodWidom Proverbs 1:26 I also will laugh at your calamity; I will mock when your fear cometh;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-edeb7cb0d79c471886b3bd33150cc69a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AjKFAN Big congrats to all! I expect him to be blogging on rube chat in a few days! Now get some sleep, you will need it!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4e1845dd826c432e8a9188e5b1c80ccd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AmazinMixBeauti why? You wanna gimme a baby? You look coolie....it might could work lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b7bbeeac8f14454496f5d70e24d92822"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AstrosCounty Jeff Luhnow is to blame for the Astros not blowing out the Red Sox and Yankees -HC\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-129077b9b3714b47a5b42a72f780e43b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BNightengale @FeinsandNYDN Time for Ranger scouts to head out and watch some Yankee prospects. #rangers\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1c4991244e8a4b19b712fc5768f726e8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BeavisCumia @jimmysdong\nDat cat gonna scratch all up on dat colored boy and he gonna end up in da chow mein\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-178dff6fa5b04e949de1b0f06a1c78c4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Bitterchick \nDare be only one bag dat folks be suckin on what I comes to yo partayyyy! All da ofay be wantin to ride in my eldorato\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-02bc15fbc5e5494f8bcb0e122148c8c1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Bombfantasyyy pearl jam: yellow Ledbetter&gt;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-014f0758b7574e6b90d66a23e866e2c1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Brelston I realized it's the one on Link's Awakening too, so you killed two birds with one stone. Unless you're getting the Wind Fish too.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9ed4a9e231f94212a5b56489962df4d7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Briccone79 @pvvrivierenland ja moest van plisie niet meteen wild gaan denken.Juistja,willen wel meer mensen mij vertellen hoe k moet denken\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0b87c4d4f2d94d909073de0265efdb5e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @BryanStars ATL, BVB, SWS, PTV, THE RELAPSE SYMPHONY, SET IT OFF, FAREWELL, MY LOVE, MAYDAY PARADE, FOB, PARAMORE, etc\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-257576cf38a14e539203c1e0f18ef2a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CellNBuu ewwww her nips are DEF more perfect than that\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-63e462023f674b21a501059c2b4216ca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ChickenColeman if McCoy wasn't trash that's a TD\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-20142e96f5384b1a8fb51d8eae2f14a4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DaRealAlexInLA @Buckm00se he wasn't training gook boy doe\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6965695eae5341b68b075312f6528049"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DanWolken It's idiotic opinions like this that make polls less than trash. Polls weren't a problem when people with integrity were voting.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0551f7dac563414ca6ce7dd13f939b9e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Dave_the_wavee the giants are trash...their time is over.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1e1bdaa512f040c8874d75c8d28d5dcb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DinoLich Don't yell at me, I love both of the evolutionary lines. @ClaudiaVice despises the trash buddies.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d9b33f0f30014571915a7844d3c16783"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DolfyAdolf \nY'all gots betta machinery fo dat. Hanger be ghetto\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-24294ac58e174072af33052deec0b277"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FIFAcom Pepe because his defending was outstanding! His tackles were accurate nd he did hos job perfectly in both legs!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4bea8ef3d3ab4ac4860df7f40d0f3b68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Fabulousjonna_ I need some red green &amp; yellow pants &amp; helly shirts express\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7aad0d353ab44f3ab7a74ac3d05fe393"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @FrancoisKilljoy Marshall Law! Whatever you coon\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f5ac6a0ee84f4ffb9aa1f14ec31c047a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Gladvillian_ dont get that bacon stuffed crust tho its trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cdbc4d98bcc3442f8bbe4693fdd90838"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GoneWithKalijah She was always a pathetic mutt desperately seeking attention &amp; a purpose. No matter what JP writes that will never change\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-48c99d72c4d64059ba35989995cf5ba7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @GregHillWAAF soo what you putting on those crackers Gregg?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cdda870700604085865d5ebeb47ce9ad"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @HarleyyyQuinn_ trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4559ee45696f40a4803f673433f67d97"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @HaseenaBakhtali @steen020 @madraq Altyd zo geweest hoe vaak men ook zegt:dit nooit meer!LozeWoorden.PuntjeBijPaaltje vertonen z dierngedrag\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d2555f0e946149bcb523a15d84dd31b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @IAMQUEENLATIFAH @plated letz getup deep dish vocal mix Nagasaki Hiroshima yellow asian flu ^n emoto ill egg god? http://t.co/CH0XfVEKz9\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5cd3c93f9fea4bc1ba1ebeb990da3644"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ImSooooMad guess who's eating cracker b without you\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-839d25aaa6d74827a4a19b69842ee92c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @InedibleFood Quickscoping trash. TAKE OF THE TONY HAWK SETUP AND PLAY NORMALLY. THAT'S NOT WHAT SNIPERS ARE FOR!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a77f9b635d9d45b8a4d05f2bbb66cd7b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Ish_MallyMal August is trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f979d1b0e59a44bbad209483daa88ec9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JLlVE looks prime for some trash pick up\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-47a3e886d5cf429d9b8d6b34460be9ed"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JT_Cameron92 or your in the ghetto\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8a5e9072e782442c87c3e329fdb3793e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JennyTripleTit it's also a bird, a city, and a math theorem. I make no assumptions!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-df8460e615a645ef83841a1a5d970062"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JonJ_07 like their players really been talking trash about Bama.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3ede1291f8234759917ae5dab7565c86"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JudgmentalNYer @eveisapisces it always looks so nice! I was gonna buy this yellow one\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-938c5c8a8d844eab8af80daa61a87c69"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JustDoItSlow &#128530;FOREVER 21 hoes\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1f75d18d9732426791e5cebc0a47c729"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @KaylahPrettyMom lmao girlllaaaa I don't like em chunky anymore.&#128514;&#128514;&#128514;&#128514;&#128567;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e87602ba0dee4de2a89d94eda066cf21"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @KevinMarin27 I like him but I really doubt he even plays We already got a lot in the big man rotation committed to Bosh bird mcbob &amp; shawne\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c1d9cb32ae474d9ab1862d6fc3db737d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @LanceTHESPOKEN Statement of the Day: Ppl who RT @ChiefsatWar are even dumber than he is. The ole birds of a feather type of deal.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-075b10020b40406390ed95cd3b4d179c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Lucci_Dpc What did I prove for you? That you're blissfully ignorant? Group thinker? Political chump and race traitor?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b276506c89654f93bb67eede57987714"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @M_RagingBabe I'm not trying to be critical but Jr. literally looks like he just ate a pot brownie, got off a couch and put on his gloves\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-43963739931745c9abbb6f09b06148d1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @McSheeti means trash lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-54627ddca0674dc1b56b446ab298a4cd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Mick_Peddicord8 thank you again mick\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-42c49d57b1d74b01820b0c69d89c4eba"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @MinuteManX1776 @TheyKnowNotWhat &lt;&lt; closet muzzie @MayberryJustin @AllForCountry @LilMissPrepper @ritzy_jewels @glinsan1\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-abaaf71bf65e49a6a7d13f7268031633"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Misters206 You look like a monkey\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-985060d7648842219c4821ecf89d8115"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @MurdaaaMike @yfly23 wow I can put slit trophies against u in those\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c2c5394fcbc1492ba8847a631e4dae95"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @NG5_ Thirsty Giants are always like \"ho, ho, ho\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e17f6dab241a4415b52f9227bee1db14"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @NYRKelsMads \nDat damn dog eats betta den most colored folk do.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2abb3937524e41dcb7dc495016408b33"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Ncoleycole u still a mutt tho lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5d81957133314abc8bad9cf30c0f8469"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @NipseyHussle nip Im tryna buy a copy of #Crenshaw!! But your http://t.co/DBLbyvX0pL website is down.. Let me know something!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9c28d3efc155447ebdd330d1f235f690"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @NoHazardNoParty @PiBBzYx @piersmorgan @Jim_McLaren I can't wait for the day they take them be a boon for the entire nation\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-88b9084debd646519142acf9c7677052"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Notsosweetpea I like brownies &#128546;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8f6ab4c8ff944e058e4f079c06cd0b50"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @PCMag Overpriced complete trash. Not even debatable.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b2884567101d4142b0c12adc565371d7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Pepper_Redbone @Yankees @Mets Exactly by folks who can't favor to get into that lovely old stadium.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3d11dc0a852c4893912ac4c0c2977365"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Pepper_Redbone @Yankees @Mets I miss NYC!! Nashville needs a pro AL team. The closest is KC or Tampa. That's pretty bad. The south is NL.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8b9c21eecdee4148be7d38440e751ca7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Pepper_Redbone @Yankees @Mets Oh yeah. And the annoying damn duck calls?? They outta be banned. Duck horns??\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-90e4b4d058b14ad7a353ab66d88520d6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ProsperINDIA ho no. Without ur vote we lost the election. AK49 is taking oath as PM today. :-)\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3f84bbac61f0485d87b38e189acacf55"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Pudingtane ....yeah....I don't think its about #injuns. I think #redskins is about #politics and #alcoholism in #WashingtonDC .....\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c49846ed75f549659446c20e8f82517d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @QVC strawberry shortcake. Stacked with whipped cream, yellow spunge-cake, &amp; sliced #strawberries freshly picked from the farm w/ my kids.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b117c8c150fc4d05915d41cd2a6b4f52"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @RatchetSue the only thing better than a bargain is a Yankee bargain.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c6959f824a504be09e28d538b2f01055"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @RichardEngel ugh..and lemme guess they have yellow cake too? Heard this story before..\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4311b6a42a6e40ffaa88e8809ce5fa9f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SVL305 but @leemcastro is not even a blogger. He doesn't have the moxy or credentials to do anything by himself and create a brand.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2ec62b3c783342b4b8c4d60b5f7f1502"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SallyBitesAlot lol find a \"redneck\" from oakleaf to take you\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ada20fe02e6c43ed8ce99f7970ec5f56"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SamFeistCNN @CNNPolitics your opinion plz. When election over will there be any improvement or will BO still be allowed to trash America?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-da29ce1a24de467dbf3814e5da4e19a7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SeanRossSapp Don't think anyone is mocking the man. I've seen people mock the bespectacle of social media mourning. Cultural zeitgeist of\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-67cf075a6298422db87b20d11e99e0a8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Sisson11Noah there is a bird here on the ground and it's still alive I can't believe it\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4e226d08a2aa4c3088127a1a97903da8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SportsGrind @RudyJay711 that was my mock done on a simulator check it out pick your team how many rounds and go for it\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ed1f4d1ab4cb4c3bb235027a992c4403"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @StarbucksSanae Are you sure about that, slant? They're plagiarists, and you have no idea who I am.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-57e76dac3a80443489cab166f98f1620"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Stephicans mhmm tweet bird &#128037;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-58b9f7f9087f4543a7de90813cf7f513"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SteveWorks4You you havent evolved as a human being. Typical meathead redneck. I pity you. You dont know what freedom is about......\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e3f0f506a0694c2892706e3a7d83cd37"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @StunningStina their tortillas are trash though.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e915889d3b9540cc97929050fb6ddf68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SuSuSudafed\nI eat dat chicken out your love box baby. Lovin a white woman while eatin chicken. A colored mans dream\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-82474ad7c0964b79a1ac7d5afaae4d9b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SusanneWhite they're so goooood. I just want like a savoury salty cheesy cracker\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8aa4425dfac54ae18aace75e6ee5b3e7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @THEHermanCain @redskins I'm not a liberal &amp; I support changing the name. It transcends standard political grandstanding.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-147e12b627594f6fb71d50b5bd8d2270"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @THYGOAT @ItsVinnyDoe_ those crackers will leave you parched asf\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4036f4e2e00a48e880c51dd12f57c661"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @TNKidsFoodPorn @Oreo ..............&#128530;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9172574e152f4a82a543c61488214428"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @TheGamecubeGuy any more birds in school?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6716938d1c034a33a771e6dac64d4308"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @TheTrackMamba gator bait &#128010;&#128548;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d6048349862541d0af6f2bb550219978"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ToWherever I'm not yellow I'm sorry\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dc726bf921164a4793940a76b3d8bd2f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Victoria_Star1 haha..monkey feet,i like it..but 4 real,feet are magical on a back..it smoothes every nook and cranny of tightness ;}\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-721a4553d67442d4a4f083746caf0eab"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @VoiceofaPatriot Now now&#8230;that bird is one of God's creatures :-)\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dc3bc5739fa44f4283928564cd007611"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @WilliamFBrasky @TheRandomBoner i feel the warm fuzzies.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c2bfa8a5e1ef40dbbbda14b5f9188cbc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @XANAXDREAMS &#128557;&#128557;&#128557;&#128557; about the beanies but steal my description but u aren't salty or fake\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e54bf08e53fb47508ea13ab01b697f33"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Yankees probably time to put this twitter feed to bed #nyy\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ef6ec5e3394847b1a57a88e67c26e974"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Yaremisxo whatever Neymar trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f17866135a454f7eae6e617d8bb87ec4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @_JaelynBeeee somebody looks like the die on the first tubes on flappy bird lol!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5edb98190cee411f8d29b2c568730b09"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @_Linsanity22 derrrrrrr, 1st of all her songs are actually good compared to the other trash, +++ shes SUCH a showman omg\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-510dcdc5b6de47558a149cc5b0bfd4cf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @aurabogado el negro?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-36588ae445914a6f901eb37350c93348"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @blackrepublican how long after the name change will al memorabilia w/redskins name be deemed racist and therby illegal?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d408de0892c3423dafb2bb6205b1fb3c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @britty_jurgens a music suggestion is \"lil spook\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4fcd4f2b095e4abc88996c4d20eed63b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @cakedjake We're laying rock around our lake. You're welcome to join a redneck workout. #muscles &#128170;&#128513;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6fc826477e5e4325913ff5ac646e6482"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @carlybaejepsen trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f147486cb59f485a8c389e905efd5f2d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @caycifish What is that monkey doing to those poor bottles?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8d4e3e5e806c4769bbf6f7fae058aa15"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @cheetahxcheeks lol trash I would of kept it if she was cute\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-02fbdefd483f466b9d66250d7a11a9f9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @dabbba @Pinchehonkey Far as I can tell coon tracks on the cab door window - tractor was parked by some trees away from home\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-935f80bb5e29409491de32d7136e8882"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @dish \nWas just wondering if yo espect to add mo colored tv stations befo I renew dis\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d8ecbbde259c4b698080934246bb5d81"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @eGoTheIcoN everytime pro teams do GB tourneys that get schmanged. Im not fanboying im just saying I don't think u should say they're trash.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-814a495b9d6842f58842c1d648ab8a41"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @eHarmoniee first second an third mistake...&#128514;&#128514; i been hearing it wus trash tho...kinda wan give it a listen, kinda dont\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3f53f66d5867440fbcfe3796d93fd35c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @elliottgianaris gook\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-885f5cfa38db48578dd23691af3b1eb3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @emmysetter14 dayum saterlyt shoz un bayg ho-ul\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8a21a2a85041462b9262568a0dbe9b98"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ennuitimes clever monkey!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-766a47ae5cdb4ed687bbace623349675"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @fairflattaxnow @Morning_Joe @JoeNBC hey #teabagger the law made it a FELONY to keep and collect the records. Get your facts straight\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7b4992f13dab4fc6a8a94fae528a75a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @fairflattaxnow discredited by whom? Per the government the study is good and factual. Pay your bills moocher teabaggers and republicans\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d023aeaf964a4023b9bb80e15a735b2e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @gregorious13 I don't understand it, there's trash cans/dumpsters everywhere and if there's not, just wait till you go somewhere with one.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fe99cc7acb514bf9824c78f1f2926883"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @jeffgill24 hey #teabagger Bohner said he got \"98% of what he wanted\" in sequester. You sound like a moron when everyone knows you are LYING\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2692311ffdba4d6186b43af6ea9e62b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @jermhudson @lanele123 no way !! I'm on a \"dude you are fat\" diet Twinkies are the devil, so are breakfast tacos. I miss breakfast tacos&#128514;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-40648a86d5da4e5ba7231585e07600c9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @jessespector bird hats &gt; every other hat\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-91d3d2fe629c441a83964e2ce6c7a169"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @joshbuddy blue cheese crackers intrigues and repulses me at the same time.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-406bce98d0324a8eb83a9ea17bf074c2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @kfocht735 Nope - got lucky - some washing on the slopes, gonna make it a little rough combining but feeling very fortunate today\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3d872bad07264924a03e5ab0b00a1128"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @lauramartyy \"wait n as in nick or m as in mick?\" &#128514;&#128514;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-98356047414e409a80b88b38363bfb39"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @mafenske I didn't mock anything! Was asked I believed in Noah's arc and said no, how is that mocking any religion? Opinion that's all\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0d4a57024ffc4dae9db5c1290d9e9072"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @michigannews13 an coaches dont put them in positions to be successful, the offensive struggles can all be put on gardner, program is trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c898147d328c4d48b96921863e0f21a0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @mickeyhart lookin good mick!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8912f0a1651345449cacb4b12580d96e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @monkbent What's with that come-at-me-bro bird? Stressful.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-17333834e8d543599d2461dcf092a0a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @mtmcly he will need monkey bars on his tricycle\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dbebdf33678f45c48a6cfb987b3ab1c8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @nhatty_ice49ers thank you jackass zebras\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d3a73aa721534c5c9a690812f108a67e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ofhdirector Everybody, look at this bird-killing wind mill lover. ;-)\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c81bd50b13af4cc7b113011b6a06c76b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @orchetect Are we doing Mad Libs now? Cool. Uh... \nTwinkie 35' long, DJ Pon3 cameo, Magic&#8482;, Crystal Tree. #TNGSeason4Finale\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fc7b4d51a7074dd29a6ef804c2d423d3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @osnapitzthorne @AcaciaBrinley trash?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-225f1b4ce9504b8d9e943965c9db62d0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @pauIjac because their parental unit is trash.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5f60b939aabf4290a1811705c28b3abb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @pcrossvol there's always one...they never realize they are the worst- the unsolicited unaffiliated trash talker\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de04d576092e4d058908c26490a3b4b8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @pubsubs @Adessences @tzanchan86 btw, genocide isn't war. The people of Gaza are no more combatants than the people of the Warsaw ghetto.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-577aa792040e4163bdf676c0e161ad6d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @rachaelkbrown @BillyButlerKC @Oreo unexplainable!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-912f4399b29541509fca366f5ac84895"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @rachel_gautreau @babyydrey hey Rachel G my name isint Kenneth ok let's just get that straight &#128070; you best be backing off before I go ghetto\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e1678f4db48e4517b1a241f94b139023"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @rasheedibrahim_ once it gets cold yall gonna be trash again lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f29bc33e460f47b88df7c1cc25b994a0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ronniecaine so 'how bout now' was just trash huh.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fa13651d77d54b2a8d8c5cdaf530b677"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ryancommakerry @dianaaaxo @JennaAmendolare guys number 42 on the Yankees looks like uncle Stevie LMAO IM DYING\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8b34e0f76522415fb7223f72dd98522c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @simonslives @recordstoreday cheers dude might nip to town for #TheEditors #Vinyl ;-) #MusicMatters\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-87ee823d785d4a39b7044f3b07fe8e50"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @smokeabluntdgaf @Haiimbreanna You guys don't get evolution do you? You only share a common ancestor with apes.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-35ca66eaf91d462f8385b9fd0c846163"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @tayscalf must have run out of brownies\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-74cf5763a9974bfd8ba81cc32e45da6e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @teapot Great GIF. Got a source URL for @gifs?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f927917cbd294c68ad8446beab98dd0a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @tracieeeeee wha? me? i'm just waiting for showtime to bring back queer as folk.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f616d4d362bb4b6bbfffa7e0986df822"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @vernon1488 this is my female grand champion Jesse. She heard a bird outside. http://t.co/1OINieeJ9c\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8e261f74dcf44c8284558d2706968814"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @walterthecat121 @GalliumRBLX how is it being colored blind?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d7ba5533d76048e19ccf4f147a59a079"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @wbpictures no, i do not wish to spend $40+ to go to a filthy theatre and watch a fuzzy screen with bad sound. #ANNABELLE\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cb89c524c5ca4a1eb4d4dbf20a1b1b58"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @whits_20 @AjalaPilgrim Yankee? &#128530;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7d9d661a6f574d609d81d7dfcae55c2a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: A bird just flew into my window?????? I hope he's okay &#128563;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c0726c5b677d4476b4e9014e69f6dd34"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: A ghetto girl's best bet is to find work at a call center and try to climb that corporate latter.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cc34c51a5f9d4e5ca44469bacc48ced7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: A homeless dog living in a trash pile gets rescued, and then does something amazing! Please share. http://t.co/SzpStdxmn6 via @youtube\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8f8b5c88efce4e6d868105dfdd3f13a3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: A pharaohs nd his angry bird http://t.co/jMC2eR32Ka\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4fa55ffdc2994dc9b00409d8eee05e51"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: A teen was running around Target in monkey pjs screaming OO OO AH AH &amp; the fitting room girls were cackling. Was today designed to annoy me?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0c130877f1e44b6eb937a6df11043d2f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: According to my brothers iPod, its December 1969. If so, I predict that Mickey Mantle of the NY Yankees will announce his retirement March 1\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3ebf70d62c9d40bf9142172c33f61f62"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Ain't no love in the ghetto &#128148;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9817ff725c15418ab8839bc8433b5e99"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: All I want is cheesy bread and brownies &#128523;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7726e45926244e708a81588a920635e1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: All my gold is white not yellow.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f7ed7ab503494d7a85609e88901ff8c2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Amazing. You know what they say about birds of a feather http://t.co/mefmPB3aW5\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4c7ddf18f2b44bd981466fdd2594b8b5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Apple need to add some colored emoji\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1cb465732be342aaaa69c85740761542"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: At a point where I've got to make a tough life decision. Ice black translucent sole or solid black sole on my KD VI's. Blk or orange airbag\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-542d2a8ebeeb42889c3667008b36f822"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: At pussy cat lounge killin it with my girlz @blaqdior and @hpmiss\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8061128887cb44e8a01280f94869d419"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: At this rate, I'd cheer for the awful New York Yankees over the St. Louis Cardinals.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8abf1e5338494c19b77249fb97656f42"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Best behaved kids ever at mommy's commercial audition. Oreo McFlurries for everybody! #proudmom&#8230; http://t.co/9HFNSmaLcU\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5e5cb5ce8aca4cacbe54156cea7ed925"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Bout to make some brownies in a few.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9148dde53242498f8ba5ac46d6e5e11f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Brilliant job by @NelsonCanache to limp it back to the pits without causing a yellow. Wish he didn't need to though. #PLM\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b9004bb8992b4977a2ee46b8b9f462b3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Browns and redskins shouldn't be considered nfl teams\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85bcd1e5f4d849b8be30eb029b5e230c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Can Charlie Crist pull one over on Rick Scott? Well he did pull one over on #floridaprimary dems tonite. #TPOT #Election2014\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a7a0c2ad40e34f8cbf849aa7af72dd44"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Can we revisit @ChairmanL's idea of two teams of @Yankees playing against each other? I would like to see a game every now &amp; then.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cb6abd0d524c49cda88e43146775a6f8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Chance is trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d1ef7da11d0e464c89cf40a72bf1f911"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Char-broiled #cod, yellow #rice, saut&#233;ed spinach and artichoke hearts. Made with love for @voxpulchra.&#8230; http://t.co/vWjWlghRGO\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-acd8e69d58fd47fc9fc7aa48fd5ae093"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Charlie Furbush #WhyDidIGoogle @midnight\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b2205315e1d24f459b474073762eb38f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Charlie Jacobs got confused about the ice bucket challenge and instead dumped a bucket of diamonds on his head.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-028fb14f6cbd4961af2510eb4b00c6e1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Charlie Kimball: \"I had nowhere to go\" http://t.co/x5gyZ46koT #IndyCar #MAVTV500\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85c9622e45674462b21114cf7051895e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Charlie Sheen\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4b811eb6132f4e5d8074488670f33313"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Charlie Sheen never disappoints.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2bdd7159901a4822a68b75b7154bcc99"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Cmon! Need a yellow for Wilson!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-528b58d7ef114239b197446c55014fbc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Conan Obrien needs to get a life with that $80 million..monkey food maybe.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9b47168b6e1e43e496827ef1865bb88b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Conoc&#237; tus ojos negros \nY ahora si que no puedo vivir sin ellos\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3aba43a210584afb953afa52b5de97f4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Currently being hit with the jig. Word.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cb2abee18c04400488c862428a279384"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Dad called me a border hopper\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a87d37431606457fb34242838f1ea032"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Dey wants to rename our main street MLK Blvd. I told dem dat will even scare da colored folks away\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6a904aecd6804aa6878817a72714708d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Diabetes galore &#128514;&#128514;&#128514;&#128514;&#128514; RT @TIME: Colorado health officials recommend pot brownie ban http://t.co/Z59oy20TMp\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2b6a0db407fd49b7bfdc8e601839bd7f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Dis nicca @DB_Scooch went in on dat \"I Keep tryin\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e1e216308c4d46b0bf49223573c10e2d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Do you have a nickname? What is it? &#8212; Tator, Tator tot, Tightey whitey, whitey Jr, Taylor whitey pants, agent ti... http://t.co/xLBhDJfBF4\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-96cd6a78bf7d47a78265146892d6c08a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Does it bother anyone else that the planet of the apes timeline makes no sense?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-889a34eba78c403e98f9c067d61449c2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Dooms.. RT @Gutta_DaDon: White nubuck or leather for the upper of the foam makes them a pass to me. White soles too. http://t.co/QIVkEPtLKj\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d410743fd6274a53918fcbe34f10b199"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Dreamed I was eating a brownie and started salivating and woke up almost coughing myself to death. Today is a struggle.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-01de448a44264bd797107f754802ac07"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Early bird catches the worm &#128074;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-55089d5c1ddb404688614fdfa2c2fce3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Early bird gets the worm!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-57e81aa2f10645f38dc05ab056b9404b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Eating brownies and then going to the gym... Idk\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-86bb1612523f4c51946077fbd119b4fe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Enjoy 50% off @GreenFestival #DC tickets with our code and check us out at booth #640! Vegan brownies samples &amp; more! http://t.co/scDZnDk2Aq\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3cd81916eb79401e856381f21a402999"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: First \"#tbt\" best and drunkest Yankees game ever #wheresColman #everclear http://t.co/pKnLCylu\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-687b1253bf1646dfb9878cb72dd74588"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: First jig of the night\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7edf334835b44ae0a3fb0f915d1bb78f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: First key club trash pick up with the freshman! #tbt http://t.co/rpLXlaylOJ\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d4e27b48aa214883a5c1db8a22334867"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Flappy bird on bull....\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-54934b32317f4f9ea0c350c76fe766ae"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Foto: imapython: bieg: albino sea turtle i think u mean soul of the ocean http://t.co/vYmiTsNCEn\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-55e499a13b1f428aa57252027abec811"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Foto: mimiblargh: ok pls consider this: kingdom birbs (can u guess who is who and what birds they are???... http://t.co/NWjUmmEWNJ\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b740a17e9f4643f283958be6257f4618"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Free bird.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cc32d5aeb2ba4a56a4ef22e8e2d3643a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: From the ESPN Yankees game recap: \"the sellout crowd braved 61-degree temperatures.\" LOL What??? That's not weather you struggle through.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b904bd0e8a17441cb8763291778f3e32"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Funny thing is....it's not just the people doing it. It's the people who seeing these pics and judging the birds. Just as wrong.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b52a48df1f44408db39f9b8463bee01a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Gas is always cheaper in the ghetto\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-962b061a66334f929d6ec8e1f4c6a8ac"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Get here! MT @NevadaPR: #Sierra #skiers, @VirginiaCity offers a fun break from the slopes. Sweet #deal: http://t.co/otJ5Uxqbna\n#TravelNevada\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9e611d672136481f8b6e25e9e448c71c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Giants vs. stinky birds Sunday \n...think Ima make some wings &#128522;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ad1fc58db76449aea238024cb1944725"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: God made male and female blades of grass. Every living thing must reproduce itself to stay on this Earth: birds, bees and grass. Sex=Natural\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c12406367cb94fb69e5c5512066d4702"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Going through my computer and found the \"Shake that monkey\" video we made freshman year in Dillard! &#128514;&#128514; @BruhKiaraThrowd was Too Short\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f7bba753273644b59114ab39b8a0ed96"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Golden Oreos are the best\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a98cffde479b4811985b4323314d72f2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Gone bust it open for a real nicca &#128540;&#128540;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c8adb696952145acad176147fee17a41"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Good day, honkies. ...I said GOOD DAY! ...honkies.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3d2f31d9a1bd4a1fb3c9e6727a3ad932"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Got damn the Lakers trash....\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d68cfdd0d0d941b5a2d81877dacfc398"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Got my vans on.. My pockets chunky\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d66b8d1092ad49b3a3e6f75dd258119c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Gotta bad red bone that look something like Ashanti\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fc138849276e47daa098647dd99ac7fa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Green grass and tree trash. http://t.co/SO9C7g3FQ5\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-682ee2c874d348438178c7b6d9840a07"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: HBA trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-722383f549b94a9a8bf08b135177e48f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Have they seen Planet of the Apes &#8220;@WhatTheFFacts: Brazil has the highest number of monkey species of any nation in the world with 116.&#8221;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5a8be2869c3944eb8f0ed858b02420c9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hazlenut coffee and graham crackers every morning &#128525;&#128588;&#128152;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e9b39357cf5d40f8945cbe5bf87f4696"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: He never replied to my asking about his calling me a \"redneck\" @gigg423 @psherm07 @EchoesErrant @jstines3\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9c712e4c492c49b48d5101b00d91f4c5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: He so trash RT @yusufyuie Cary Williamsc GOT CARRIED lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-74e1a5e981c74ce5babb35c7a30dc983"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hella just ordered me some beanies\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7bcb79e9648b4b43b1dcc985a9bce4dd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hey @DreamShakeSBN fans. If anyone is wondering what the yellow tab on the back of the collar for - it's for teams that have won a champion\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2c39a713caa1437cbb93edf30ec09f89"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hold all your ghetto labeled and endorsed vodka brands, you can rum me silly any day. \n\n#ShiverMeTimbers\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2f552f16e313436a9b7781f58a4b668c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Horny called me asking her to buy her a drink this morning and then this jiggaboo walks in WITH A SONIC DRINK IN HER HAND #DONE\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4bd205e43d1745768033b0f9d430313b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: How is that not a yellow on Ronaldo for full on body bumping the ref?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f9f4dbc3f5a74834b519b3dceb99454c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: How long are they going to let the fools in #Ferguson continue? Stop pussy footin' &amp; disperse them by WHATEVER means necessary!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7e35d52608c14faab26dc4324d34ae40"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: How now, gung-ho?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-01feac5ff3e54e1382cd95d2222cd815"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I LOVE my 10 &amp; 5 but most days they remind me why birth control is important later in life.\n\nI miss my \"baby bird\"! Come home, 18!\n@somehoee\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e17d8aea047640eea9bd917fecd74cd9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I almost stepped on a bird running around the floor ah they are so creepy\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a464c23a93a645638a8295aba7a547ca"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I am extremely sad to have to admit that some of the best 21st century Arabic rhymes have been written by Jihadis\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6cf5c74732124c02bf4086d140adfa11"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I asked the name of the bird ancient Egyptians used as the sun of god Heru (Horus).The Pheonix (firebird).\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5532cafed8584a0fbcac4b1feade2b0e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I been to mushroom mountain\nOnce or twice but who's countin'\nBut nothin compares\nTo these blue &amp; yellow purple pills&#128156; http://t.co/fMjlVMEqDO\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fb1ba34fa4e6446195de27bb3e36f8ed"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I can't even find it in me to mock anymore. This is scary. This mass ignorance is terrifying. RT @KateElliottSFF Yes, alas, I agree.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-68fd0e0b048b4f56988a6e59962491e2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I can't take you serious if you wear colored contacts.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1d902bba1b51474d8d4baf61281b8acf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I can't watch Charlie St. Cloud because I cry like a little baby. Every. Single. Time. &#128557;&#128557;&#128557;&#128557;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-65e887a04c54465dbef33102e597b4e4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I don&#8217;t talk trash regarding sports.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2fffa0e5a27f4e269626efd760ed0995"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I done been to the top, I done sipped the juice/ and with that being said, bird crumbs will NEVER do!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-71448744683f45febbfd23313419f327"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I dont understand rich people who dress like trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8db30b3726b84a85b8eca3d040e74450"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I from the planet of apes king Kong clips\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e3cf90e8dc02422faa98800d15c422d8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I got dirty birds hey shoot like Larry bird hey\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3f4f743a425a42908a71ae57945e670f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I had froyo with brownies for dinner tonight. Being an adult is making these executive decisions\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7d596d4ec4ed4a2998045c37429cb2da"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I hate my dog's name.. It sounds so ghetto. &#128528;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e2b36eb3182441ed831d407a92c4786c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I hate yellow jackets can't feel arms and back lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7fc59bb8edfa4517aa39f8aae89c797b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I hear the same thing day in and day out.... its for the birds.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3629e3cdf63e42ec88d2776c29c9d254"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I just might buy myself an A-Rod jersey #NewYork #Yankees #MLB\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b817d6dc5db445929f945f9e18a485fc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I just put down a pan of brownies\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b3c46e793257449b8b6145ba7f2acef8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I love \"Butter\" by ATCQ, but I'd love it more if Q-Tip's hook was just looped for three and a half minutes instead of Phife's trash verses.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ffc94f6929ca4ba48b41c6ae233e62ef"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I love watching birds migrate. Wish I understood why it's such a peaceful sight.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85e1af7e3963474ab2a47d74df806360"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I miss Twinkies and Susie Qs. Tragic loss to society. What is next? Pixie Turtles?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f409d4b9d61c47aba3c56104ab8ecbb3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I need a heated bra because my nips hurt so bad!\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c73632c6acca4d258d0e84437c464d5e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I remember the VA Tech band called us planet of the apes. I was ready to flip\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-37efa4473d864f5b934b25cc59f9e6c3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I rescued a baby bird &#128035; http://t.co/Ad7yy4CuQt\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8d3593e2b8c54eb39c28cc7242adb9b0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I see u jigga!!!! Hillary $wankin\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e4461c0ab1a9481884015ef72d130e73"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I swear the people cleaning the office switch what side the trash vs recycling cans are on on purpose to mess with me.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8d4b2fd5c44743cd848e41c5ab9f5afe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I think about the fact that dinosaurs evolved into birds every time I eat chicken. Dinosaurs are delicious.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-62238adab0b34f49b546dcb2d0b0e274"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I wanna go to a trash talk concert\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-293aec3e2ed54a52b5eb342d7101e029"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I wanna try pot brownies.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-832cb4a115e447ee96653b5e752e2dc4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I want some monkey bread &#128553;&#128588;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-74733e6fa699499481654fcea943e08b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I'll give you a baby zebra girl.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d328f45ffd3c40828a55dc931da10432"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I'm in my bed like half asleep and stuff. But I really want that Oreo coffee coolatta.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fc8abc740c9041bdae21839f438470b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I'm just sitting here waiting for twitter to explode once this Yankees game ends\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-73baeb5c5d844f1e81b9deb2ff4eabaa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I'm making pollo a la brasso today\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0e22cf9fa45b43e0963a089b92a12d55"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I'm such a retard sometimes.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0b201464d327424c97730513ee4f29d1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I, for one, welcome our new Eastern Panhandle overlords, and hope they do a better job than the yokels who got us here in the first place.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-db0805f85a41445fb392b93ee3ee28fd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ISIS Jihadis Discuss &#8216;Buying And Selling&#8217; Yezidi Girls As Slaves http://t.co/UoPgIPOpWS #tcot #pjnet\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a3077c5a99424ea9896f4ab61328e8e7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If I were a kid today...Michelle Obama's lunch would wind up in the trash can\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b0ee65102e6d4989b914fdc56446a913"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If someone pushes you too hard today, they may be surprised ho... More for Capricorn http://t.co/3kpy22pi0E\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e06638b574674b8b82f89513a214ca02"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If the Yankees can't beat the Red Sox, they don't even deserve to be in the playoffs #yankees #redsox #mlb\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9f7a47f7ed904f558d127be9cae35235"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If the crust ain&#8217;t graham cracker, keep that pie\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f05a092a966f4f2b8619eb67339e1647"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If you must call me a cracker, please call me a Cheez-It, not a saltine.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dacac4a8819a48dc8fc86973d5e1b224"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If you're not directly descended from European royalty and upper nobility, then you're not fully human. You're just common gutter trash.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-787e31b8a76e4f299fda6e0429486c81"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If you've ever been to drunk to fish, you might be a redneck\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-92cf3ea3a2d34cc1974c71aaaf4169ad"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Igot to level 21 so far on flappy birds smh\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-817712c578024020b96d0cbe0fa4964e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Im in mickey ds and he gone ask for a double cheese burger wit no cheese!!! #FOH\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a00af4c32502412c81db71e6b00963a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Ion kno wat kinda spring clothes imma get my yung nicca dis year we ain't doin da polo dis year gotta offset em wit sumthin else\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5dc58863ed3248c19d28cc7f9efc4a1d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Is it weird licking your own nip?\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-98b96875c44b49f9a61ea83147aa6dc4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: It's a plane, it's a bird, nah it's just me doing laps around the dam. Lol\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2b405d9b800a4e4b95592acdedd43723"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: It's almost Christmas, Charlie Brown...\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4c953f5528354296a2ec216cce6ab113"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: It's weird but I miss Robertson Screwdrivers :( --&gt; From &#8216;toque&#8217; to &#8216;mickey,&#8217; ten Canadianisms :: http://t.co/LUFaCmlo20 via @nationalpost\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c0f346de10d94384b44d8f029f74ef92"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Jihadi rehab needs to account for the unpleasant fact that it's the worst behaviors that *attract* participants. http://t.co/nJJGA7S5LQ\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3a526d66e9674086879f7f69d81850d8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Jihadis seem to be more upset over the location of the Jedah conference in #Saudi than its purpose #ISIS\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a116aeec5158478eb48b1c5e7fbb59ce"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Jihadis taunting America &amp; spreading paranoia: tents that appeared in a video of a Daesh training camp near Mosul. http://t.co/GH3EbBfB3t\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-211fa2e17b8c4f66a3207d97f5d3c54b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Jose Soto: Reflections of a former gay teabagger http://t.co/XtMMuzyK\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-95acbc5dcaa743c3ad8421e49031266c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Just in case the day couldn't get better wife's Rav 4 had a flat and being the redneck I am I put 16 inch rims on it so there goes $200x2\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7518c7f608eb4ae9b5536a128aa8431d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Just when I'm feeling totally useless in the world (another) baby bird found in need of #TLC Just call me #DrDolittle http://t.co/Trwmr3HG8v\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cc6d1a603a4740148ccd4c406d74dd15"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Let's be serious. Most fans/callers wanted to run heavily and dink and dunk. doesn't work great against a D you can't get extra yrds against\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-52636661d69346da9fd3e50a04b786ad"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Let's cripple the vanity industry. How? Actually start liking who we are, and how we look.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f0155435452848738d6a96d813a501ef"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Lil Kim really made herself trash smh &#128148;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5aa2527edee5491f8c4b1e8207ef49ed"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Live birds found in Elmo doll at US-Mexico border (from @AP) http://t.co/JCH9HQVlPl\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7de3f76e1f1742b8bbab9a3458843dae"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Lmao RT @MoeMartin44 The in soles in Reebok Classics can't even handle the diabetic weight Rick Ross holds\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-231317acbeaf460a964094056d45fc42"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Lmfao no you didnt RT @SS4_Fresh: @vivelacourtney got cute new avi and all but she too old for colored contacts &#128073;&#128064;&#128584;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4ecda59347b746ff9120390cf5032aab"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Majority of it is trash anyway.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e5cbef6c555848988bb93d425428525f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Man arrested after 40 opened nip bottles of vodka found in car http://t.co/VtusSbGHbR\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2fe36006ff924d508448c42ff697b6a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Man, that is a serious shiner Chara's sporting. Yowza.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f28781b7c7044a859c16cc1de0f6dc4e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Manual labor so trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-41837a789b674bcfa898db99b9d189fb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Mata'i ngeli, alu o polosi ho nifo..\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-727ff89f3fa0473eb02a51678657641c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: May the bird of paradise fly up your nose.\nMay an elephant caress you with his toes.\nMay your wife have runners u&#8230; http://t.co/h6e278e85s\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-815a6e7406b44a25a2dfe28caa2f9cb6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Maybe @barackobama is colored blind with his 'red lines' and all. Tough talk, no walk. #tcot\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bc6a5a12b9e74bb4a0fcbb66601123ba"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Molly and Ellie need the teas, so #CafeShaw bound I go. Everyone else is off to Amsterdam I couldn't get time off so hey ho 8-)\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c570ffc012734592a41c4fbc1c5edc46"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Mommy said no pussy cats inside my dawgs house\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fd3b8418e0a447a095cf7b8bf1d2e4c4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Morning terror read: 99% of the ocean's trash is gone and no one knows where it went &#8594; http://t.co/CwC2LWCV3T\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-862e8c0ad72d426b9366eecffc384b8e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Mr President &amp; homeland security, please ignore any foreign threats and focus your sole attention on our police force #ACAB #LANDOFTHEFREE\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-22a0a3ad15704c60bf8ecf9a2e8af8a3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My Twitter app is poo trash.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-64916025f0fe428387d25ecdbd8082d4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My nig kkeldalegend took me out for some more of that good old New Orleans soul food! http://t.co/vCBKAcQBHV\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8fba7a977e5f435b8c6676e6da6ea52e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My nudes are trash.....\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e054a2f3d1084cdf99a91d2b4bbed8c2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My phone on 10% fml I still gotta get to the yellow sign lol #motivation lol btw I zoomed in 2x lol http://t.co/LayVBieIML\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f65e11d5f58b4ddeb2615fb68409961c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My son is 9 and still has issues tying his shoes because he's barefoot all the time, in case you wanted to know my hillbilly status.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ca215718215c4f51aa1749dafbe70a6e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My teacher always says \"Has a man ever abused his wife while using marijuana? Not unless she hides the Oreo cookies then she deserves it.\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2b87155836df431a96fb23c32e49f297"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Nature's majesty is beautiful! *melts butter* RT @AP: PHOTO: Rare blue-colored red king crab caught in Alaska waters: http://t.co/Ia5kFoU2B3\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-78d1cd041c554b0681da493c363d77e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Never turned my back on the birds\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-174e2d49ba34404298ea70b49ec6e939"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: New show announced in Lutsen, MN at Papa Charlies on December 11, 2010 http://artistdata.com/a/2oy4\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0bbd6e92a8384ce5a4f4bfb2344700e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: New show announced in Lutsen, MN at Papa Charlies on January 29, 2011 http://artistdata.com/a/33ck\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c5ed9759fd444c0ba18002f3dcb1b670"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: No girls no hoes just me myself and I\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1c2f3565aea94fb5b3ca8419f87fed7b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Nope! It's just yellow OTL\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dcf4729270ed4fdabc351fb5d3e88f68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Norwalk ghetto af lol all of a sudden everyone a dodger and raider fan\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-63ede67a39f643bf8f7eea7b740c9b68"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Not really sure how to describe what's happening here #eurotrash @mguiducci @nickbrown85 @ VIP Room http://t.co/WTS6nM3egc\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3cc0f7f0f73d4549a7331386bfd38144"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Not ya grandma brownies, wink wink http://t.co/pZPI8RUQ4F\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-77038295b53545dabbac24685d2e6baa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Now, the Jihadi networks waking up &amp; claiming #Raqqa radio &#8220;confirmed&#8221; two planes shot down &amp; 1 pilot captured. #ISIS #Syria\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-11c5b99e95ca4d52aa5c477c3f65cd11"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Obama mocked the special Olympics Wendy Davis mocks the handicapped do ya see a pattern? Democrats #tcot #UniteBlue\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-33df3e83cce34399ae060ee4bf18b786"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Obama&#8217;s Newly Released Gitmo Jihadi Has Links To Terrorists In Syria http://t.co/MywaAFD1yB #tcot #pjnet\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8aabe326716746f2ae9604d11acfe2aa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Omoide Yokocho : Shinjuku, Tokyo, Japan / Jap&#243;n by Lost in Japan, by Miguel Mich&#225;n http://t.co/7J2uXi5501\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b75cd9bcf43843139eb9a8ae5fb61fd9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Or when you're in my neighborhood RT @clairelea18: You know you're in the mexcian ghetto when... http://t.co/1Vq0OcrseV\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-31c44a5ebb0e47ee9e1ab511a5505ede"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Overripe eggplants are not good eats. #UNCLEtweet\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9901564395db4a579cdfff41a762fc49"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Perhaps Ezra Miller is the first crack toward changing that, regardless of whether he identifies as queer over gay.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6d478c9c0c0b4bcf9fe277e9b509385d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Photo: Rest in peace to these bad boys , some bad advise made me let some old asian dude re glue the sole... http://t.co/uPRjY6n48K\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cd8055b89dc44b6b9ff78ef0fcdc132c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Pic circulating on Jihadi feeds claiming an \"ISIS flag\" on top of Mount Arafa in the holiest day of pilgrimage http://t.co/46YfuflyZV\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-10e78ca7c51c4e4794f60ea24bc8197f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Poor Henry, he's supporting the right 2/3 of you guys all on his gut! Don't hurt it, Charlie... (@lizziecuevas)http://yfrog.com/h300cwrj\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-baea4a4412bf41b1b8b828ccbdda42dd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Posted a new song: \"\"guala\"\" http://t.co/jq3RB6gyQh #music\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2f5984380d8446b697bde5b3b5cc5f4d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Proud to be a redneck patriot :) @Docs357 @Cats_lmbo @KoichicCheryl @bja_tw @yrwol7 @DavesGrill\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6ffb47addb4943449b17129c02527f53"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: R&amp;B is so trash now compared to early 2000's.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f6004a6ca5fe4cfdbb05c0da2ce456f3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @A_single_bear: I accidentally ate a few fireflies last night while chewing some leaves I found. The shameful yellow glow of my mouth wa&#8230;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d02c30fceb63482fbaa2853878ba6359"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @AliAbunimah: The people of the ghetto are rising up and fighting back. Whose side are you on? #Gaza\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ed4679e22c5449eaba4aa809167a6317"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @AmyRoseKathryn: Justice for British seagull spray-painted red by thugs! The bird won&#8217;t be able to fly anymore! http://t.co/8PyhwE4L8S h&#8230;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-812d09cf813849129e11c866d3294b2f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Avery_Ave23: &#8220;@iKeepItTooReal: When the trash bag is so full , you can barely tie it....&#128548;&#128548; http://t.co/OtzfiqMWI0&#8221;OMG!! STTOOOPP!!&#128563;&#128514;&#128514;&#128557;&#128557;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2bb1adf4447c4a9c876c957a8299128d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BaseballFact: At George Steinbrenner's first Yankees news conference, he said he wouldn't interfere in baseball decisions, promising ...\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-128dbad4b6004bf8b5e947e3e480fcff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BirdGang316: If you a bird throw it up #birdgang #EaglesNation\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-843f16e6abd24e61b70f9958e90b2e5d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BlackJeezuss: When someone drops their trash mixtape in my Dms http://t.co/wkFJfjkNCi\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-075b07d0037f449786dd78ecb89455d0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BlackNerdJade: RT @Parkour_Lewis: *Last 5 hours RT @the_blueprint the last hour and a half of work trash just for existing.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9da25038ac8d40ce8356c3247ff7c79b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BlasianBytch: @graceishuman @rhiannonrevolts yellow face and it's a no.\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-483ef38fdfda43b189f4e63965878a50"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BoatBuilder_: call me a free bird\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-353de2e071fd4ea5b89c491934a0b6b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BrentLanders6: Charlie: \"My last two songs will be quasi-religious songs for the sake of @WhiteIronBand who's coming up next.\"\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4ef5dbd339eb4aa5be07c628f5954183"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ChanseyDaRapper: Make my way right to the trash can with these. RT @DwyaneWade: New Season. New Shoes. #MakeYourOwnWay #WayOfWade http&#8230;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b5958cb9d45546509a685ffcf6a0477f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Charlie_Gru: My wife's doing some sort of \"boot-scootin\" while singing, \"a little less talk and a lot more action!\"...where was this ho&#8230;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-16d02bba98634aab805e6f9a5628cd6d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ChristineKKTV: Great weather to hit up the slopes this weekend... @Arapahoe_Basin &amp; @LovelandSkiArea open Saturday! #COwx #skiseason ht&#8230;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8e830c1408424187a6c5ea49fd89c6f3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ClicquotSuave: bunch of rappers boutta flood the internets w/ trash remixes\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4a96667a5a0f498080bb8c393274b5f8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ClutchLikeMJ: Tennessee isn't even orange it's like vitamin pee yellow &#128553;&#128514;&#128514;&#128514;\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5dea58429bef4f8ba6df4fcb4defdcb3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @CorbynKelly13: Found some more of my original yellow bracelets and the first person I thought of was @TannerMcDowell\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e5c5b14c40cb4009931e2201cf3c9fe0"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @DabGodBaby: But only BBC, the American version is trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0ae426e43e31428883443fab409e7d94"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @DameStr8Cash: @JaeTips I know that's trash\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cab6e02eb5984f178eedbca195e3ff77"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @DepressedDarth: Star Wars meets Charlie Brown http://t.co/m9uNRz6SYR\n", "labels": "Neither", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-56cc42d78fa94e3b8fcab072d5dfd7fd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@DevilGrimz: @VigxRArts you're fucking gay, blacklisted hoe\" Holding out for #TehGodClan anyway http://t.co/xUCcwoetmn\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-aa9b6b2a59dc4d5e97dedf40a7b9f84e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"@bigbootybishopp: @white_thunduh lassen cc , the coach wants me\" i feel it youll get more my nig no doubt\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-733b4a7148e74d0e886fc6ccede93d77"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"Why people think gay marriage is okay is beyond me. Sorry I don't want my future son seeing 2 fags walking down the street holding hands an\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d1d1ed426c074fe1a47798acd1b3a2b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: \"poor whitey\" http://t.co/3UkKeyznz8\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1ae279777aad49308712b56b8496c935"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: #faggots are MERELY a #scientific indicator that SOMETHING IS WRONG&gt; Do not celebrate as \"unique indiviuals\" for they are #cancer&gt;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8327bdca972343f88ee997a0748fbed5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#128514; RT @TheOnlyReed: LMFAO RT @Tone314: If you watching porn &amp; beating off &amp; yo homie text u &amp; it show his name in the banner you're a faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d3eb0b9d014f494d87a125c32e2ea397"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@Crowdifornia: We agree... do you? http://t.co/4diz5NKYMN&#8221; FUCK YES, I DO! Send those illegal, wetbacks home!!!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-71eba7cff4784221b36c0c399448e5e3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@FunnyPicsDepot: \"fucking white people\" http://t.co/uyjGzuX4Cc&#8221; bitch wut?\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ddd9a28e49884d93ae29f61fa4268898"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@My_Fish_Died: You dammn Weed potheads are annoying af on Twitter&#8221; weed and pot are the same thing faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-76f276cd853049349f91297d86f2f72c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@TP_Three: @WestSideFlee @KekePalmer damn they got wifey &#128561;&#128561;&#128534;&#128534;&#128555;&#128553;&#128553;&#128553;&#8221;\n\nFall back nigga &#128299;.. I don't share my hoes\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6ac24835e4b843a5be9ffc4cfe15e896"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@_honeysays: My phone charging backwards &#128533;&#8221; retarded\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-849821dc07454e84a0c77868cbc85504"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@kaylendenise_: I hate that bitch &amp; the fact that oomf likes her.. just no &#128528;&#8221; retweeettt 1000x.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1e541f25fa2f4bc3b879ec9fdcd8e625"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@medaOriginBitch: That one friend who you greet with an insult.&#8221; @MorbidMermaid @EvanBecker513 niggers\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-85fd93896dba41d6b88c4e4627deeda2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: &#8220;@spannerhead29: @VertrellCarter #faggot&#8221; #Respect\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4f417726aed743ecb55909138f509c94"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: *goes to olive garden*\n*Turns into a cracker*\n\"@gIacier: *goes black friday shopping*\n\n*turns into a nigger*\"\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ad3e9f00e05b46d5a690c64b3178ed4d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ...aaaaaaaaand it begins. RT @RileydaKafka: Fucking niggers that's all Kentucky is and ever will be\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c977ef4f36af43169e31f2c960a7b58e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 2 hoes 1 dyke\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-54ff28ee73a2446ab7859d73baf93564"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: 4 old hoes, a ponk, and a dyke outchea having \"girl talk\"\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3593553d45864e0888b3c82de72eebbd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Alicia112794 So basically you like the background music, fag.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9032f1bf2d2f4d7e91cb54c8e97f22da"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AmericanWhiteHM Those niggers disgust me. They should have dealt with 100 years ago, we wouldn't be having these problems now.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-42420b21d7f14e7ab508c3b519c77298"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AnUglyNigga this is retarded\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8f26dbe1d097422085eeacfefe7b62e8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @AndreBerto can't wait for more PEDS is that it? Roid munching faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c19af8d5628143bfbb9daa3377f9072a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Anony386 @TurnToLive @Tweenki_ they are wrong you are a nigger always causung mischief among ur own people\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9dae8a142c614f00a6fc0275211b7866"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Brice2254 Fuck you, faggot.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-53cc452cc0d54dd89bcbfb87af6d0ed2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Buckm00se Joe Cortez is the ultimate faggot that fight proved it\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-65d071cbbe8344f193a4ea103d413067"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Buckm00se true sand niggers &amp; bum Brits claim he's a ATG hall of fame legend smh\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-feb20f4525934d29abe795789556b8bb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @CBSThisMorning @charlierose racist @NorahODonnell tx trash racist why wld u intvw @MittRomney n ask racist questions itwas so disrespectful\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7104916e60ad413481f83cf5ddc84c5e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ChaseBasford chase you God damn faggot &#128514;&#128557;&#128514;&#128557;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0f6a4441cfd44a6482f4beabe066c9e1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Chris_Anzueto @Josh_Mackey15 you call someone a faggot and then say to kill themselves, you are a pathetic human being. A fucking disgrace.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cf41c2efb9114f539099abfec7ca2fe2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Darienbaby_xoxo jk I'd fuck a dog before I fuck you fish pussy\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-73665d1645444660b564bc3621609876"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @DjChubbESwagg this like a retarded wu-tang clan\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b4cd55e3f8694820be16264afedb4629"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @EleyCome_EleyGo @caykelly16 movies don't matter as long as you do coon shit with coons you're a nigga!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c56989d6ee31482b8c3522cffcb0eeff"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Hovaa_ shut up lizard faggot nigger cunt\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-764d1f1599224cfab6ef9ba6e0f574d7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @InfidelAlie that should read suck on my bacon encrusted middle finger Muslim twats\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bf6edaad9ad6420a8afc60f07d54c852"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ItsMander @kfc\nYou can always gets da colored folk back in da cage wit da KFC\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d266f1f18538496a98c40851a78728b7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @JPantsdotcom @Todd__Kincannon @the__realtony I'm partial, faggot..homo...both fairly describes the same sick twisted Assholes out there.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8a421c8e3eca416a8ce618eea77fcec9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @MrMooncricket @AtBlackface @UncleUnco @BobbyBotsods @FuckTheMallcops @RacistNegro69 ugly gay nigga bitch fucking peace of shit\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6e3ee55b7d45423b823b524b2265bb3b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @NyJusDntGAF just like a nig to come home when ever they want\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-58946430e35746958da3df8bcababa9a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @OVOtilUOverDose @flossinlawson11 niggers*\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-aa2c6d69cf22498ca1cb48391e9a574d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Oskzilla fuck you fag!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b57fe731b2774b7cbf91f05eee9464f4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Oskzilla fuck you niggah you gay. Lol\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8281c8cd4115479cbf7c43e7557023b6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @RedNationBlogga fuck those faggots\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e5e60bbea7e34032b066510c787c522b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @STACCS_WNT_FOLD you tell me, coon.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ac8f42927a724998b7a3c71d87a4c4e4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Sarakateee @FaZe_Rain I wouldn't be proud that faze is in your family. He's horrible for one and two he's ugly trailer trash... #fazeisgay\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-35504da2c81e4dd1ab811bf9ae7d202e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SlimGirl_Probz das calld usen yo brain retard y would i whoop yo ass n front of da police\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-50949cc36908462b83acb3a72df78478"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SlothNG i can guarantee a few things: you're white. you've never been anywhere NEAR a real ghetto. you, or a relative is a pig. 100%\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-995c417a33be45b2a9ebf0fd2831912e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @StephyRae7 faggot.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2d3640f94c6f4948b6ad013b026897ec"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Sterm26 @RealJamesWoods Just like when I call someone a nigger! It's not because they're black, it's about how they act. LIKE A NIGGER!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3a53a0901f974780a480380473dcadea"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @SydneeSmalling fuck Miley tranny looking now damn ass nigga\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3b2f903722584938a83f87deb1207b7f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Taylor_1017 faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e4b608d5bd7c46fe8e2795649c45c707"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @The_Red_Sea @shetheTRUTHtho say that shit to my face \"Bruh\" you a bitch for gettin in a man u dont know business. Handle yo own shit\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f77682723a8048b689e3906b80a2370e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @UberFacts studies show that you're a faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9e29655739a94e5f8c17ed7cc9ae42ba"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Versanche only faggots drive stick\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6425bdff02274781a403125bb2de3c08"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @WhosJuly 1) He's a faggot and I don't like him. 2) I'm on the other side of the state.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1621205be2db46d685dafc077b5d3b8f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Woody_AFC @MrGAM3R49 @MANIAC3X fuck outta here faggot that wouldn't even be a fair\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b684a102ddde4e36ab8656ad8a7c011f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @YeIIowbang I hate that faggot he so corny\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4aae2995c74e4259aa9f8efd50cfcca4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @Zwaaad fag\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0b92c4e0fbaa47adac93f5fc4ae71e57"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @_XoXoKelsey_ hell naw fuck them bitches serves them right\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bcb39ca3cf7c4fe6aaf461e188647a3e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @__Black_Jesus yea I forgot I was talkin to a degenerate faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-96750855cb7243b7b9f22f9ef7945331"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @_elennamichelle nope not at all but I'm stuck in a house full of fucking niggers help me escape &#128553;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-586e7de1d96c4e718b3f80446689c1d8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @_jeff_hank @lgreiner3 @RayceWarden @BigJohn_Studd shut up nigger\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fd5c3637d054419ea4b0f024fa4ae72d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @_westwest_yall @phampel WooHoo! New Black \"Kill Cracker babies\" Panthers to the rescue! #racist #trash #thugs #Ferguson #fergusonriot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0b78a1d531fa43ee83e26eeef65bd97d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @alyssawiens faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-25c064acbee54df88fdfbf9de9670e62"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @asshole_king oh no. They drafted that gay ass that come out on TV? Well u welcome to Redskins nation. No queers just a lot of niggers.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2fcffaadd8664576a49463eea85dd93c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @bellaangeletti no ud still be a fag if I was lolz\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-48414e3d60584957adb57b6740a2699a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @cambreezy_ @TheLittleFella_ she spelled faggots with an e you're so cool lol\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f181916fb1df4f4bbb03118158c8d506"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @coffincreepxx you had to throw in the faggot word smh smh smh\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a68007976c5f4d3aacaba4a7c2a58764"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @dish_answers \nYou gots da BET and da MSNBC wit dat colored reverend who only listen to coloreds. What else I missing?\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-30c54c4d991046008285fec80603041d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @genuineMitzi @NonVictional fags.!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-02a759634f57430ebca62645daef25e1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @georgiathenewsa @Rosaalbae your tits may be better looking but her face makes you like a Asian or Latina tranny #facts\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-027185c257fe4e3fae898fa7f9329981"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @hunterbuch66 @kieffer_jason @sbsylvester yo fat ugly ass couldn't even pull the ugly bitch in the school\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a133b854568a4fd5af8636d440b7c7cb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @itsjaylaaa eat shit nigga bitch turd bag dick beetle\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7eee627ae94c4db2bd0994cdd53f9cf8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @jdickerson @ScottPelley @bobschieffer all racist nTx trash w @NorahODonnell all hate to see this particular man in WH n not the \"Butler\"\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-cbd3b9cb37f3414db3d5cd4e8528d5fe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @jennybaquing so terms like honkey, cracker, peckerwood and stereotypes of white people fucking their kids and sisters isn't racist? sweet!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8907628bb4cc45c38272240cd4f61774"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @just_joshin7 fag.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de0323a57e8a49ed92078d19e7977a82"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @kieffer_jason @zach_smith98 @NathannDevlin so why the fuck are still talking shit. You acting like a pussy ass nigga\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a40863e5338743189a85c875546a38e6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @ktpowers98 @WendyDavisTexas Ha Ha Ha no good fat dyke\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b7f5d791db3d422d9bd3f286e052417e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @maggie_burdis @nickgoldapp lmao dude you are probably the biggest fag in nebraska &#128514;&#128514;&#128514;&#128514;&#128514;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7c086f748d6d409594421fb5efd2287f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @marclamonthill will you mention why being called nigger is wrong(witch i agree with) &amp; bossy is wrong.but being called a pimp is still ok?\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d2b3b9115ed649bb8a2402f457f09698"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @marylene58 @sunflower1790 @shelliecorreia @Jan4USA no just a niggress that thinks she's human.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-494fe183b4c24ad48a77405745b630fe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @mike_ray7 congratulations, you are officially fucking retarded.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-00d44ba10ac74fbf8879cbd9c78bed04"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @moneydriven @2ManyLouboutins glad about your uncle, another stupid faggot off the world, hopefully you next.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4521f4c76469486a80569b61d5ac10ef"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @phishlicia I'm 5'8 fag &#128536;&#128536;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-655ff23c9c954a73bf74a3c8ab77b83d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @pombuenaa I'm surprised you could read it with slits for eyes\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-502d5fd29921461ebf741715a124fbd6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @real5Hfacts stfu u ugly dyke\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8ec312c86e2b4cd38f127fbc641ffd7b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @sramirez07943 it's goldbar dumb bitch and no my dad wouldn't pick you up he doesn't like faggots like you &#128528;&#128076;&#128079;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c285d1a107c2453ca4e1fb97ae3170fb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @stevoburns561 @ImSwaveyNShit @FreddieGibbs Soft shit? Are you handicapped or retarded?\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8274e41c324c443096090af0dc43fb3f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @teenagesleuth .we got 1, except eric holder gave them 2 the beaners 2 kill americans! guess he is race blind!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b8eb70bcb08d4cd6a9deef914a72b070"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @tori_mills02 I believe that you fuckin can punk nigga bitch&#128520;&#128170;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-02c877e98753469ca7c5432eda85412f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @valonfox13 not no but hell no, when blk. stop sayin nigger I will, what they can have I can have. this is america\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-76bdd63b2dff4dccb7d1e2e70f7d34d5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: @xLoiterSquadx i made you lunch you fat faggot &#128128;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a0dd3376c7cf46b1baaf96959441435d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: A nicca say he ballin ask em where his title n his deeds at not wher his clothes n his keys at\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-19d95d2b0ce645bab2e5b5f272835469"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Al noooo ...... Too late fuckin faggot ! Lmao\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a1ba74426bc64fab8885122d74734d6e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: America is white trash and so are all Americans.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-474c61947ea94560bab6ed227e3c0c72"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Black bitches don't be kickin up in our school. Bitches still comin wit durags still on they head nd shit.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d88856f08ea744c88ca0e332b73fc64c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Brady heard yall say he was washed, now he washing the league on you hoe ass niggas.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-41ba4e698e904e5daf73786593760d71"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: California is home to skater trash.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3650381e2d1346b19e9354b408adec6a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Ceasefire?Let's see how long those towel heads can go without trying to attack Israel then cry to national media when they get popped again\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-91cbeb01d04a4c0d88147b7eada671d5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Chris Bosh bout to disgrace the trophy like a real faggot smh\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-54dcbf78ce4d4319bf3dff40025317fe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Curse AVI for Coke because he's a fag and hasn't put it on yet http://t.co/jHQPwop4wk\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f4fa6a9ed0864acdbf1bd0632b8246a6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Dumb bitch https://t.co/We46wO15nI\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4af765816fb84e3fb695a08d434e5fcc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: ESPN keep hiring these dyke bitches and gay Spanish niggas to talk sports\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-df464f08e2ed4a29acfcc3e91cdc97fb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Elizabeth is a.stupid hoe.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3896782c522141efaf916810060aaf2c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Every slant in #LosAngeles should be deported. Those scum have no right to be here. Chinatown should be bulldozed.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-77b11225285343b68baa9835a4092647"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Every spic cop in #LosAngeles has raped or has thought about raping a white woman. That's why those half-breeds get jobs as pigs.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-53145d7f5da64636bd49e40e3fd5192f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Everyone calls me \"b\" they be like oh wassup b &#128524; and I be like wassup my niggah\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-788dce779809471dbf9d98c4ecd6dac5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Fat ass inbred rednecks like Paula Deen are breed that are going extinct. I mean look at that woman, I would hate to be her scale.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e16829ab4fb64b6b9787d1caf51a5012"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Flaming faggots that publicly state how they want everything handed to them... Like fuck you dude, get off your bottom ass and do something\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6ab1ce8c8d744c4398827dd7a7bd5c6c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: For all we know this nigga a rapist. Y'all hoes dumb &#8220;@daniellathepimp: *melts* http://t.co/RRROzn5bdy&#8221;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3c91ac62a63f4502826b3c028a58efa1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Fuck that niggah he so weak, he cant tell that you a freak\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-934a0ff55a814050bb8e773c522cbfcb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Fuckin' #faggots, man. #science knows these FUCKS can't procreate without the help of \"breeders\" but we treat them #fancy? #sin\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-56f4dc320d7d4fd58791861234ee4873"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Fucking hate my coon ahh uncle\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4c9e8a7c4fd04e98836ba41e006c1878"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hitler didn't finish it. Can u. If a nigger ur Jew confronts u in the street what then.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dc0c8afb61ba4fbab8adfa1b8302c3a4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hoes thnk they \"won\" when the nigga thats ridin the fence start givin them a lil attention... what u won hoe? A wishywashy ass nigga? Oh.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-105ec3de623e4f2494cd26edbbeae002"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Hood niggas and bitches love emojis lmfao\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b0f864bc44344218984f3c8a37bf8515"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I didn't forsake all other bitches for my wife to be getting fucked on by another nigga. and you know she married? you gotta die.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-03362b253a534ad5951ea0f24b3444e9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I do da flow in a temple today fo nuttin. And dat Jew wit the funky hair tell me I subhuman. He tell me I ain't no mo human den a monkey\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-116dbdc970ee46f28d6b3294d0b10282"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I like taking niggas hoes but I stop doing that &#9995;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dbfbd705ba9b4b45b494b84945123508"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I need to chat with @SpaceJam_Teeg . Where dat nicca at? Lol\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-482f0557e7d94c7cb81d9b89db92738d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I really get upset when my lightskin friends have another cute dark skin sidekick..like Im supposed to be the only cute darkie u hang wit &#128545;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3ef800e19d1646bda9945da23f333e44"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I still think snap chat for faggots and High Schoolers\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-002ecd16f3a449ba9dfa9bd3796929f6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I think this nigga retarded G\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8af034bbce644903a138083690ab229e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I wasn't calling you a faggot, but you are one lol.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ddad91d89b9c4f6ea9ff1866ca82fb39"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: I'm going to sell my iPhone and both my Macs, I don't support faggots.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0280dbd7e5c9412c975663d49b49332e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: If some one isn't an Anglo-Saxon Protestant, they have no right to be alive in the US. None at all, they are foreign filth.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ba2e0db028b84d6ba888a3b8bd911caf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: It happens AGAIN!! Black pack beats \"whitey.\" This should make national news. http://t.co/izKoA2Xb\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7e0198c8b10a40649612974c905b3f34"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: It's so shady when you bitches talk to guys w/ girlfriends that's so disrespectful to do to another girl\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f6c7cd89d286426fb3adddc285fb5827"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Jai may make an appearance at the party... love that fag\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8d6083359fb24fb1812034aad71b4b70"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Jennifer Lawrence's nudes sooooo trash. Im still smashin though, no doubt\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-aeed0caf6636481db468ba5bbdc70c2f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Karmas a bitch and so are you. You'll be getting along just fine real soon.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-900880bc11714a60b686ddd611b4cc9f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Kip Tokuda, yellow guy working to niggerize the Seattle PD, died. Too bad there's another POS hiding in the wings to replace him.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9e1172a2b27849a3816428db390da048"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Literally every man in my fam copped a bad white bitch as a wife. I ain't even boutta break da chain. Unless a latina comes around\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-01ceb7a0b4a341f0955c5bb869aca1c6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Lmao let these hoes be hoes ain't no Savin nem\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8be6030e9c4f4b878b701ac228a04146"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Lmao! You niggas regionally picky about hoes now. Just say anything on Twitter. Makes it's fun tho\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3dedeaa1b3ad4286ab3bfb2c2ddf9aef"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Lol RT @JayFucknHarris: Youuuuu got niggas but I don't got bitches\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-dea9f54030604e67b64d42abff5d1082"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Man I swear today's like nation hit tony while he's driving day.... This chink almost smashed into me...\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-88c98ebe124d4e86b6d3d4747b926d92"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Members of non-traditional religions are all sub-human trash.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c2878391e0914bdf8091fd0e1085a833"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: My neighbors be sick when i wake um up to all this nigger music ctfu\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0554743ba0f946229dc3fd228c856983"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Need a bitch to drop it down for a niggah\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ed49cac83b1747d3b445cad7225d2a63"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Niggas sleepin with bitches grandmas??? Lmfao maury fake af\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5b743db61690413f95046f3295435c32"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Ok. Did this bitch just say wut I think she.said? I believe u just described urself dumbass\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5260f890aa2440fd8b722368d68b82a8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Only Americans would hire white trash with ties to international terrorism as police officers.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-71be8cdcf9fa4e20ac6cc67b5ea73f9b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Only faggots use white ds's\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-93c0c28e10c54ede9f5f8d0e34a7323b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Only retards retweet fuckry\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-13fb1a0b477e46dda7a8ee33afb89071"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Only word I can understand on #BlackJesus is \"nigger\"... Heavily disappointed in this show. AaronMacgruder stuff blows, IMO.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e9677e9a8ad64d0492fc96c4ae0e218e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: People who go to church in Hollywood, CA are all white trash filth.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d4f8551130bd4f9895a76fae7317d020"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: People who grow their own vegetables are nothing but common peasant trash.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-47a4a8bbc0c443acaf3228570cf72343"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: People who live in #theNetherlands are unwashed trash.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2c10c46b750041d7a3ef06dca0da7d0e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @602StrangeAngel: Your Swags off fag sauce\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8e1e587a93c24a8e803eba3cbf7969d3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Asshole_God: Hate fags? The answer's yes.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d4ccd1bdff77482a96db95f0fa0c936b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @BlakeAnderson21: @weston_diamond @sleezy_jeezy @justinmiculka01 not about to shoot this pussy! Ima beat his face into the asphalt t ...\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6e83d85ced8e497692a70c7650a8aef6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Buckm00se: if i dont get drafted for the squad we gonna have some problems drop the faggot jesus\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9059255e72444029a910518544ae5524"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ChingonAbe: &#8220;@staycoolwheels: @mjs79 well he is at Genos. So he is the ultimate faggot&#8221;\n@elmaestro1 got to show this queer how to eat &#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ab63427ba6bb4e16b3d05f061a71ee9d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @DefendWallSt: Tell me how you really feel. RT @1SleepingGiant: those little #ISIS faggots usually have bags over their heads anyway.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7b362df24a46476a9f4f2c6583b4c44a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @EarlyLegend: I don't fuck with these hoes &amp; I don't fuck with niggas that's fuckin these hoes\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2baf29d0ec6142c0b50aa7af48e1d865"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @FemsHaveBallz: You can no longer run a business n America unless it's deemed acceptable by 1 political group of retards known as democr&#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-744ed5521f7c46dd85f43c073f193672"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @IAmNiaRich: Nigga screamed like a Lil bitch lol \n\nhttps://t.co/b1qBnDPxdv\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a356e4a3a4624cfc81903a3ff040b0dc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Im_Thirst: That nigger made the shit out of my coffee.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6a9a85607bbd4b1d81cce9d7f5a21ce7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ImaLAGirl: Pillow talking too yo hoe hating on a nigga fuck around loose ya hoe like that &#128175;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8fb9cd4b4b744d5eb290cdfdc97c1bcc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @JManziel2: &#8220;@RealZachK0enn: @JManziel2 You're a faggot&#8221;you're a Texas fan...\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b2b89f3941c64a4cb96b83c4c0dea7c9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Leslieeeixta: Bdubs is packed with beaners &#128557;&#128514;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3b34228b316c49e0843524d3717a0b5a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @MANIAC3X: @NotoriousBM95 @Woody_AFC @_WhitePonyJr_ @santi_4l @Bamoose12 start crying and stalking him faggot. I want to laff\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d5703160fc244ca3bf773fbda695ae9f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @MANIAC3X: @larryx2010 @FloydMayweather not gonna happen the coward nigger gets lit up. He knows it. \"PAC has to sign to TMT\" but why di&#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4c9da2cc0a2c4a009b77b98387aa9b49"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @MXLLXVV: \"@VivaLAJuicyy69: ----&gt; tragedy smh RT @MXLLXVV: Niggas don't know you but will throw dirt on your name for the pussy you h&#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-84f4988ee08745efb13f83113e29e631"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @MichaelGT03: Happy birthday freshman faggots @cooopster98 @Chase123456718\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-21c4c32f8a2d447593e254ed6c726187"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @MrHoratioSanz: Vin Scully once called me a camel jockey. #liesaboutvinscully\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ab48725e217a4a96908bc7a8adeaeef3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @MrzSixTrue: Ill break a Bitch down, like the pussy she is.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8b1cd2b99f42495e8ee59a246b67b564"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @PacDaGoat: You a hoe if you give your number to another nigga while you got a man\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8ad099fad3964d569a7f9de6141bbf30"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @RosieZaya1: Ur fucking white trash\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-759b17f03a964595a1ef40d88a8eba2d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @SalomaeSadiqa: It's because you can't bend me, you can't buy me and you can't make me into your nigger! #Farrakhan #TheTime\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-832f48110be344bc9fcd64b874408e82"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @TAXSTONE: Niggaz like all them naked bitches on IG pics NIGGAZ DONT LOVE EM\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c8e2c947fa7d45de90ec922262749487"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @TankTopshotta: A real nigga gone teach his bitch the game not run it on her &#128582;&#128130;&#128520;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-da98912b0ee64ab9bc06c54f44e88744"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ThatBajanKidd: #NeverAskABlackPerson if her hair is hers . she will hit you with a \"bitch i bought it , so it's mine\" .\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0dc4a7401f2c452181fdb10ce7123a43"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @TheAfricanSiren: Automatically suspicious of white folk who try too hard to show they like us darkies.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0cc834b458644b67acc6be196e24d9dd"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @TheChrisCates: Look at this faggot http://t.co/db7SIri8qg\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de9e81d7f1f84addb279022259e85947"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Theprinceofnj: &#8220;@SMCo71: \" if you aint bout that Murder Game pussy nigga shut up \"&#8221;252 GANG &#128514;&#128514;&#128514;&#128514;&#128514;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-684acb7c049845b196e9347762e83af5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Wayne__Da__Boss: I hate a bitch dat act like a nigga. &#128530;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-97c96536023e47b68ec1b7e6668d0bbc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @WhitesOnly_1: #niggers! http://t.co/Hb3uJaLky2\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-688d54e1540040e282127e74dce17c6e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @Woody_AFC: @MANIAC3X @_WhitePonyJr_ lmaoooo what a bunch of fags\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8f49ae375eb14c319dd4f10a89cd19c9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @_CollegeHumor_: i fully support same-sex marriage but i'll never stop calling my friends faggots\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-826cbbf8acf047d79ebd7810c5ec55c4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @_VodkaThoughts_: \"Light beer? You mean faggot piss?\" -Overly Powered Man\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c93538f9c3754e328ef1ed26f11a839a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @__bettyboo: You better pray I don't send your nudes out bitch\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-da320e9eef8a49df8be53837d27599f1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @_missvain: Lmfaooooo &gt;RT @sirTurn3r: Lmaoo Thats what u got from this? RT @waddupivy: Dougie be yamming the coon all that beat boxing &#128553;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-52b598cdd79a43b58b7b21589c7376cb"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @amour_tajiana: Only fuck niggas would wanna continue to mess with these messy ass bitches vs. somebody who HAS been down for them all a&#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-be3a6d7de7c4453294ce328db5fde01a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @ivanrabago_: @staycoolwheels @Studhardt22 Joshua is a faggot. Just suspend him on those grounds\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1df50eb4a2634f8594cda74fad53d274"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @jjauthor: US ghettos-driven by liberal ideology; forged by unions &amp; bankrupted by self-serving Dems catering to parasites!#tcot http://&#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-bb636473b74c49ef8a8366a8787af99f"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @julia_rodd: When kennies angry he talks like a ghetto black man and I really don't even think he notices HAHAHAHAHAHAHA I'm laughing @ &#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d17c34b0845b4b5182f8533f9558cabe"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @lildurk_: I don't fuck with bitch niggas I only fuck niggas bitches&#128556;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ddb91d76ca1f492aac923bd72dcb62ab"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @lmfaohilarious: Never go full retard http://t.co/LMk3TX5ViC\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6e4c420866534790aeba795eee971e7e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @markiiejay: You got niggas &amp; i got bitches\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-747e534332b7413f9e86be2a2be812a5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @meaghanyockey: \"@savanaharanda: Is you a girl or a guy is you my mom or is you my dad ?\" Im a butch dyke\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-e34151b293154ae2a53aef9cfd4bbb69"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @realist_iLLest: Mine too &#128513;&#128588;&#128076; RT &#8220;@187XO_: This ma niggah @trigga_tre123 &#128076;&#8221;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fde5bf678d8b4bff91a60c8e09874ac9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @s_bitchy: Bitches be fallin so Inlove w. Niggass &amp; then he go get a new bitch &amp; they try go get a new nigga to try to forget about the &#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-08bf16ebadec4da4b15aa564ce1b3fcc"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @salmeron_bryan: You're not the father ! What every Mexican/nigger loves to hear.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-49c52831c8ae4ecaa9f691c68efebd56"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @sorryimalex: I got called a faggot for buying girl toms so now I'm gonna fuck that person in the ass\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1fdf69b612ec4fd18b1a1b2d333bbd2c"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT @veeveeveeveevee: If I was Obama Id call a press conference &amp; slit joe bidens neck on live tv just 2 show these crackers I mean business&#8230;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c7c47b48e105493fbc5f354d9f60560a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT!\nCOMMENCE CARPET BOMBING! All #Iraq soldiers in this video http://t.co/7oLD2eDB1R executed by Jihadis from #Tunis http://t.co/02E1cEOE3z&#8221;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6b10e66600b9437896ae61901c26c7f9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: RT'in your own shit now pussy what a joke you'd end up just like all the rest no show chicken shit mother fucker\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ac220288dfd3478ba276542fb47b4f3b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: S/O to my favorite nigger to work on the plantation @Pretty_WarZone just remember next time, ask for the watermelon. Dont steal it.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2d286025d5564931ab746937f25b4c9d"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: SIR. PLEASE go text your Mexican bitch, because I'm not Finna deal witcho childish ass &#128514;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d1f358a0f58e46f183d2b840c4f74bd4"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Same reason u look like anthony davis with them eyebrows\"@RyanH_Slick: Why the fuck do niggers act so different when girls are around?:-S\"\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b28d3f0813304aa99f5d9024883aac9b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Scandal: A Negro Bed Wench's Fairy-tale and propaganda: http://t.co/tp1Sa5u8uO via @YouTube: A must see for Hebrew Daughters of Zion!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-378c102638ff4423972db0d9652e45a8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: So many bitches in one sentence #fixitjesus\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-40f73e460be54bf1a2686206a4bb04d9"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Somebody couldve been like \"aye man you dropped your money\" but nooooooo fucking broke faggots selfish bastards i hate yall\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d35ff202085b4dae9d349b0106f4e3e5"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Somebody please choke that fucking retard that keeps yelling \"mashed potatoes\". What a tool! #PGAChampionship\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-8d289c140ec8404189c337d16adcdf00"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Soon @fuckeveryword will be to \"Fuck Backtrack\" and I can't wait because fuck those faggots.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4cd82b2e4a294a93abb26cd2c59e718b"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Spending money on these hoes , nigga you aint fuck SHIT &#10071;&#65039;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-fd865ec064e04c30ad9ca58f292d8a6e"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Stupid white people making my posts relevant to they own life #stupid #cousintoucher #honkie #whitetrash #blonde\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-18c807f612c44c8daeeb389ef2356b24"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: The rich kids of beverly hills is trash and not even entertaining trash. And why do they all look mid thirties?\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-25119c048f75439f8d7872dda54b85da"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Them queer ass shorts Rabchenko got on\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-5ba00bd161c74d51ac4a889529cbcce6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: These niggas retarded... Lmfaoo\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-70f2f223b5d848ae85d764bf79b112ee"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: They should have never gave a cracker a transmitter!!!!!! @realdjTV will flip when he sees this. http://t.co/cYCdbhbXkQ\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1e461de1e00c4c40a4e1a713a1dc2d2a"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: This time a night dark skin niggas really turn into lightskin niggas I swear I seen a darkie try buying Starbucks 3mins ago but they closed\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9dc00628a19740089df1b47321338dee"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: U coons can't wait to wear them Oreo J's\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b6e0f9be9d224b4d9d31cca4b26cdbe3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Wassup wit all these fucc niccas\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-1bdc424a713e41af84bf1c4a7482f5b1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Watch out nigger lovers. You day is coming. http://t.co/ZV1CpK1iy8\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-024aefb36f1c48d08d9eefcea998aec6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: What's worse than #Ebola ? The F-ing retards trying to make it a race issue. Al Sharpton has caused more American death than ebola.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3c1189756e484fdbb7ae336719c4bfa8"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: White bus drivers are all white trash. #LosAngeles\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-a42ca3141f294ef18e592d3ad38b1eaa"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: White trash have taken over every charity organization in the US.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-6fc8b57aabbd49f9b5933f971d952921"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Who takes mid from the best midlaner NA??? Fuckin solo Q fags.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-19d56a44a8034e20a3c72f90fb0c7ea6"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Why you think all these niggas end up with all these kids? Fucking ugly bitches\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-0713cfcac0334fc4a8d6585731c953e3"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Worlds biggest faggot lol\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9dbec9e44ad64655b276431a1b59b452"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Yea alright redneck white trash\"@CamoPearls: Stupid niggers hollering out their car going down the road trying to hit on me! Fuck y'all!\"\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4e9d1fbeb4814e658325eec54a094f36"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Yo bitch on my dick she come to my crib she get passed around no love\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-eaf99d7b33694f8cb475bd5e63c1a0c7"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: You are a jiggaboo...!\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c7de64792ce746d2bbd508312b1458f1"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: You hate football your a faggot\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-2b38f4c9bce745479153a7f25e47a226"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: You're just another nigguh.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c5c7a003a70f4af38df5ab3a3f758acf"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Your acting like a spoiled little faggot have fun\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-f5f8f88a1cf54a64a2fa0a592d669690"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Youre a fucking ugly bitch, I wanna stab you to death and then play around with your blood -Patrick Bateman\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-90e254a1e29f4827997ce7f058d94812"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: Zimmerman we comin for yo life bitch. http://t.co/KHdZ1vdnSK\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-ff84d2c56d7842aeb726ea9c64ea7487"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: bitch you're white stfu with your shitty Spanish\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-b1160fecf90641f1b741804fa08024b2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: everybody's favorite phrase to try and end an argument\n\"You do you and I do me\" \nlmao faggots\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-de36f37b8b324dfa8cb9e4bd43ac2866"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: fat bitches fat bitches heeeey\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-4e44663877ed49cf92390a32bed54554"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: hoe ass nigga &#128569;\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-3f22b98fba994eadb4af53eb4332ad90"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: i hate hoes.\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-9b351745cf3f4c35a0ec02e48a167d41"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: in real life and online I follow that. sorry folks but just cause I look like a border hopper don't mean I am one. born and raised here\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-7972f82e16844d6396e3d4c0e1d749d2"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: niggas ain't playin a gram of defense man George need to tell these bitch ass niggas man up\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-c136ca3d66b4446b81d0d3b7b29ae985"}, {"text": "Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.\nInput: you're such a retard i hope you get type 2 diabetes and die from a sugar rush you fucking faggot @Dare_ILK\n", "labels": "Hate Speech", "task_name": "task904_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task904-d2e42bf65bc44b47b9b188552cd3ddd4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: !!!!!!!!!!!!! RT @ShenikaRoberts: The shit you hear about me might be true or it might be faker than the bitch who told it to ya &#57361;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-420a6ce41223476ca64580f5def276c2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \" i txt my old bitch my new bitch pussy wetter \"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b50241e5167c41fba06cd8314c5be50f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \" i'd say im back to the old me but my old bitches would get excited \" &#128524;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-026ea87a45f1401a9c5c4d72959e1821"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \" jus meet son now he ya mane ass bitches \" #Shots\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-67df299d14bb49678e74dd31f24403b5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \" nice girls bad, make me get naughty. Bad yello hoe, real nice body. Down south chick, like em real thick\" http://t.co/bzRDl3kF7U\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aa9cb981c8b7458c8a459d26e7de06b8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \" running round here like some brand new pussy thats bout to get fucked \"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-552cb16cad174bbc90e72ad7ec6f29c9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \" these bitches even worst they'll send them guys for you \"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ef37e7f722ea466899a3503d0def2810"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@2015seniorprobs: I probably wouldn&#8217;t mind school as much if we didn&#8217;t have to deal with bitch ass teachers\". Retweet\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-40901f4df0cc42aa9956abdebba3e634"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@BVSEDCHINK: Yo fuck skateboarding, all y'all some wood pushing faggots man, ball is life http://t.co/VBCzP6HMT7\"\n@AmJemieBenn\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-831fc8b0c85446c4bcdf9ee9ee82db57"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@CaelanG15: \"@22EdHam: @CaelanG15 that nigga was eating that hoe lol\" Hell Yea lol john Paul\" nigga said john paul.. http://t.co/OSIpBKPr9h\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8e5d73c0224244d8b35d9f567901298b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@CeleyNichole: @white_thunduh how come you never bring me food\" i dont have a car retard\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7a5218bcb0fb405d8ffb15d6e4dfb8b3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Coley_Cee: Let me make a couple tweets off cuzzo page, so I won't get in twitter jail.\"lmao bitch don't trick me again\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2d350149e54f4f6da26868aeca1dfe84"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Crhedrys: Pussy licking pussy.... meow meow #StopWhitePeople2014 &#128049; https://t.co/KeegDCjS5K&#8221;\"\"\"\"\n\n&#128533;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-104bea5c137b4db39ffc33b00076a6b9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@DBAB_Holloway: Check out our 12th man. #CowboysNation\" even with all those faggot ny fans in the stands\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9e519fda25c94e45a0ae6b690edbb73e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@DaeDaviDavie: @white_thunduh im the bitch okay nudes pat &#128554;&#128527;&#128056;\" wow\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-00318488890c4fd388d21dd25836665a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@HBMostDope: Ugly bitches be like I'm my own WCW duh bitch you ain't nobody elses&#128514;&#128514;\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-41c8cbfd478945d49d228f49fe045029"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@ItsYahBoiRay: @anelylove if I don't get my dick sucked at yo party by a bad bitch I'm fr gone set it off &#128514;&#128514;&#128514;&#128514;\" *by @anelylove *\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fc519ff851fd4701a578d54d7cde5940"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@KeyshawnSwag: Lmfao this cat started beating the shit out of me\" my nigga finally got some pussy?!? MY NIGGA!!!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-17708b6bf8ec49efa9cbd47e3af82b70"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@KingTeej_: Ol dirty foot ass bitches..\" this was too funny to me.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a64165ae41c74a84904bad969316ddbd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@KissMySmilee: Don't got time for bitches to be actin iffy.\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b8371a648d504a3a9336359887b65f97"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Lil_Mike_12: Fuck twerking bitch can you cook ?\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cf599f2f63504ed28794a8b353605b23"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@LolaaIsDope: Lmao fucking snake bitches\" @ em\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-11b3981c81d04e6bb5dd7921ec4379d3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@MegamindNick: @white_thunduh nah fam I gotta cheat with the hoes\" depends on the female i feel\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-68b553eb1aeb4eb591ec6136c25cc030"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Montrell_: I'm tired of bitches saying I look mean.. &#128530;\" nigga you big af, wear tight shirts, and grim everybody.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-623a723c67bb4c849f173455694f671c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@NewsomeJade: I ain't never seen a bitch so obsessed with they nigga&#128514;\" I'm obsessed with mine &#128529;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5884c542778d47a4b61bf7ce50e2375c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@OfficialReplay: I am lowkey tired.\" ...if you tired, be quiet and go to sleep hoe!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8145639770bb43a1a2b9e4c4f65c83d2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@PRAYINGFORHEAD: &#8220;@macklemroe: Stop bringing weird niggers into my mentions! @PRAYINGFORHEAD&#8221; http://t.co/cussDJesRK\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0fc94f7fc340455caad25ed127254a11"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Patsfanjoe32: @d_palomino52 I think worst advice I gave you was \" don't be a pussy and speed up\" lol\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0417db35c15b43518a9d7364e7bea6fa"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@ProdsJewel_: &#8220;@sreadthepeace: &#8220;@yungmindless: @PeacePunkPrince Prince, THIS is art. http://t.co/EPHRWxMBHr&#8221; nobody takin his bitch!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-062be97f8cd1495ab8025d67ff9106dc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@RishaaWilliams: @TRESHON_SCROOGE @_Nevertrustt ol bitch ass\" http://t.co/AmcOinY0wG\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7344342461654079a967698424b6fb30"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Shun_stokes: My cousin said he share hoes with his brothers. He said sharing is caring and he love his brothers &#128514;\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-96baf78b2c1042c5adbfc6ef794f8e2b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Sylvieamx: #Pisces will never be anybody's bitch, they don't let people control or change them.\" Rigghhht\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5722452dbc3e484288340848d19d6393"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@TayKnosBest: These hoes is crazy\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fd3b061bce7647aa8a71f7df5e29ab6e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@TheNymphoTweets: Hickies in between her thighs right by her pussy &gt;&gt;&gt;\" Its only right\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-833cb37c476f43c59c7e514b813f7383"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Tmacc_GFG: &#8220;@tizzimarie: No slushes &#128549;&#8221;hoes nasty anyway fam\"&#128564;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8aba980dc91044d6bdf8c2c0512be285"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@TyJonCuffee: And if you ain't a hoe get up out my traphoussseeeee\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a95f5fc19c8841e2bb523ecf7879b473"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Vbomb20: @Woodchuck20 pussy\" love it\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e9c7e0662fe142cbb3de65d7d05bfe4d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@WitHaPrettyface: @_1nonlykeisha bet not be no bitches! &#128514;&#128080;&#128299;&#128299;&#128298;\" &#128514;&#128514; Kim bye!!!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-50dc11f350c44a56b504c9658b7024d7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@YoungRicooo: &#8220;@WexicanAfro702: Don't take advantage of a nice person&#8221;@ hoes\"@ everyjuan\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-429a916d3f534205a98788f2d4bffa2d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@__taradise__: Ya nigs out there still saying y'all don't eat butt?!\" WITH A STRAIGHT FACE!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8673356d4b7c4d5f98023f4820dc235d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@_rapdreams: bitches hold they nigga down when he get locked up... but if a nigga go to college or the military it's a different story. &#128564;\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-af6e1d6f42864a789a99fbfd43ece6b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@airmaxlad1: Hot meat http://t.co/BRz8Imk5vK\" sexy as fuck scally lad. I would love to meet him and his trainers.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-38fe3aa482604449ac61dcbf6693acd1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@coltforty2Gone: hate when bitches try and put you in the friendzone. bitch I'm tryin to score put me in the endzone &#128293;&#128293;&#128293;\" ON. MY. SOUL!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3d23d3c2e64146a5bcd53eacf1017cde"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@iAMPickUpLines: You can call me Fireman cause I turn the hoes on.\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e45e5ddce1c4405c85068b430b63ce86"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@jaimescudi_: \"@Tonybthrz_: \"@jaimescudi_: I swear if oomf try talking to me tomorrow..\" @\" @BarackObama\" pussy\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-43ed87a9024f4e2db89f41f0fe54ec85"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@jasmyncyniquee: @white_thunduh k bye hoe\" um bye ..\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e504abd63eb8491e945dcee2eb8198bd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@jboii2: ima keep on giving these pussy ass niggas ah reason to hate !\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4ba2005694b34a1f84c95ae2d23b32ab"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@juicyyyjayyyy: Side bitch Sunday &#128514;&#128514;&#128514;\" &#128514;&#128514;&#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a17ba0bf35724bcea09a757b98029d06"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@queendulaaa: Got a couple bitches saying they know me But I&#8217;ma let the money talk for me &#128526;&#128076;\" AND I'M LIKE... #WWYD\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b73b85153a05469ebe0abf8d8150a858"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@worldwarzee_: these hoes ain't loyal.\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-044c292e55e843129d968bf99593b2fe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@xoxoclauudia: YASSSSSS, ORDERED CHINESE &#128079;\" bitch you just ate tacos you fat fuck\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-14d2b59baa9c4b2eb8b713bf4524876e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"A NO BRAINER\"\nBut as soon as this bitch gets rich in political power, her views will change!\nPOLITICAL WHORES! http://t.co/ekEPSjWcyU&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dbda391e5d2f420fa5887bdbeb29336b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"All these bitches want a baby, I don't want no children.\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fc61999ed7d94f0a806ec73d0c5e8dd8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Dropped a stack cause bitch I'm ON\".\n-@1PoloBoy \nSong called \"Dope\".\nDownload the mixtape here: http://t.co/LaCZ1e6TG7\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1cd528468b0847598ded2832b9db7303"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Eff it. Let's go after the cripple.\" http://t.co/kSaMx1JPfV\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bcc7de6eb338437787c208dfc5a19429"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Fuck 5/0 I make my own rules. Suck my dragon balls bitch call me goku\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fe07088a2581403aa79799d8feda4dca"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"He wanna be my nigga, but I'm just trinna be his savings account &#128553;\" &#128514;&#128557;&#128514;&#128557; omg imma funny ass bitch man, but that's Real Shit &#128175;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a66165872c4e42a99537e32d3caddc99"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"I KNOW my shoes dirty as fuck, whatever, bitch. You don't have to call!\"\n\nLike, negro... one of the first things they LOOK at is shoes, dog\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6ad039cea9cf45f4be130886b6a98905"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"I would rather you call me bitch than sir\" -my manager\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e71d2119abd24572bef4dca7ca8eadca"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"If you love her then hide yo bitch so you'll keep shorty.\"\n@wizkhalifa\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bbdc3646503645db8525dc461b60ee0c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"If you talk back to me you ain't getting no pussy.\"\nMe: http://t.co/vgnwcFgvSJ\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0bd37bc160b44ec48e360feb56543a01"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Imma tie that bitch up in the basement and donkey-fuck her ass for two weeks straight\" hahahahahahahahaha #50centmovie #beforeiselfdestruct\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8c40afe1a28d40198641d1a2c0f5de4a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"It's allegations, were u in the bedroom? Did u see it?\" Words of a naive &amp; blind bitch. We know ur husband cheated on u. Ramona is dumb!!!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f0303332df4442f9bcdfd9059b459846"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"LMFAOOOOOOOOOOOOOOOOOO @bb_brooks: If your pussy is good but my mama don&#8217;t like you? Guess who gotta go&#8230;&#8230;&#8230;..my mama.\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-42f33e8d49f94dbbaac44de5a6d18fca"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Like... correct me if I'm wrong but... Doesn't pimpin involve 'smackin bitches for money'?\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a9289365a60e4975a3b2f800dce9dce8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"My nips are freeeeezing...and that's not okay because they're slicing through my bra....\"\n&#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ccd0896864344207b7013a1efb957772"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Nah girl I ain't gon be able to make it, it's been tight since Russ loss his job\" you in the back like \"damn bitch really\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-82017d490d194f0ea4c922bf764a68ab"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Searching\" the incredible story of 1 white man's quest to find the ingredients necessary to make Caribbean Jerked Chicken in redneck land\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4f86963a82464a4194c6a457216b507a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"She said wigga man you rich...take the du-rag off\" http://t.co/jb7J3zSbam\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4a4bb11d4b6a4aefbb6e0107e0f49317"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Stop being a pussy, son, and shove that needle into your own heart!\" #afterearth\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bfddd0b29e3d4f0a98bfe4493eb4ed5d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"They have some ghetto ass bands\" * gets snuck* &#128514;&#128514;&#128514;&#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fd91c51123564e6da5095e9b6349baa6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"You ain't my bitch\" is my favorite response to long texts\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b7ee6c051a814f9fa6ab1e5db08a3fbb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"You can take someone out of the ghetto, but you can't take the ghetto out of them.\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-533e2650ef254d2390b2ffde57940d02"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"but I love him\" nah bitch that ain't love.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-00a2322253134c839281e2cfe5d793fc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"niggas bitches bitch ass niggas dike ass hoes black ass and bright ass hoes fag tags and scally wags\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-89ea88fb4000468c8ce1d792aafdce73"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"riding with my bros still don't trust these hoes\"\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-51d4615777b74e8897d2886d673835f7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"whatever you are, be a good one.\" -Abraham Lincoln, this quote is not for yall hoes!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0c26f61b0373498188282ed5c4434f11"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #CelebrityLeakedPhotos YEAH&gt; NOW YOU KNOW how it feels knowing the #NSA is on all our phones. Quit whining like #muslim #bitches.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c2985bae16dc4a1d83b5e6dc0dbc69d3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #Fact females that tweet ALL the dayum day r hoes that need attention #ijs #wontgetme\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cd836e8356af4176897c76639981fa11"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #FreeballoutPartyPart3 bitch it's going! 3 mo weeks&#128588;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3097267ecb3e4709b2cb93ceec37a64e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #FreshmanAdvice and if you ain't a hoe get up out my traphouseeeeeeee\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-48d09d8aedab46a799040659f0f96982"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #IHopeSomeday that these hoes just find their own relationship instead of ruining others\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0f20cb30ecb84396a86d1e427e2f9cba"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #MyUnpopularOpinion Spanish bitches suck dick by 11 and have babies by 15 because they're already fine and dressing slutty.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0dc640b2a5414634bed3456b33b7be9e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #NationalCatDay ...sure. Celebrate over 1 BILLION bird deaths and blame it on #climatechange you fuckin' #commies.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3035c71910fa430d902464613110d6e0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #PeopleWhoMadeMy2013 my little brother and i hate to admit it but @DirkAlisic and he knows why. but he's still a lil bitch though. fuck you!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-84279290d3934613abf78843bc008e70"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #RuinADessert @midnight Fairy Queen. nomg&gt; I fucked #Obama panties again...............\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9d14e6d470274db0b648bf990dc27c88"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #Shoutout to my exit 47 niccas! #RealNiccaSalute\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0cdd4fcd836040a0b70d9f3e80fa9da0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #WhatWouldYouChangeAboutYourPast the hoes I wasted time with\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2dcdb374a30c4c85b33d4751758b687a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #YesWeDid .....tattoo our bitches to corrupt as many men as possible to #Egypt and being a #cattle #prod #vote&gt;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1a5fbe8139cf49a28f1b35c4e2b7e6e7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #creamteam leaving hoes w #cockbreath\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-930835e241894dab865a51ef9d07acf6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #morningjoe prove him wrong righties! Liberals use facts cons use emotions to make decisions. Facts be damned should be the teabagger motto\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-61823ab4f9264a549cf5d2b7aa7808e8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Anal | BBC Anal creampie bitch http://t.co/3XNeG5mnRk\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0e77bae76b134bd0abfadde6ccc2efd4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #BBW | Brazilian BBW Babe Drilled in pussy and ass http://t.co/Z7ksrFpmz9\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0e724b486cee41d38d420b6685b956b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #HandJob | Hand job and cum on rubber pussy http://t.co/zGcnmR2kLA\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-858ad1de482c4043a9b8cd4550d10da4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #HiddenCams | Candid pussy shots from a hidden c http://t.co/IKpJ0etz71\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1e868a51df27479fbf9d97b53dc37682"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #HomeMade | Home made. My wife rubbing her pussy http://t.co/ldb9aFwVdM\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-30c78345172d4a1cb07876d318df8000"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #HomeMade | Using my submissive bitch outdoor. Home made amateur http://t.co/Fu6AggzHQd\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b53faf538ce5408abb464d196e6f07cc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Latina | Latina with tight pussy http://t.co/rDaOnqVr1H\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-820d2363e16e419da2ad29289c774697"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #OldYoung | german milf getting young and old cock in her pussy http://t.co/kXhzjwG4Ii\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5d060d050d5d435aaf8c2451c03bd4ad"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #vegas #bitch http://t.co/wbAqQ5vFpd\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c20a2f06792d4a93b9b32172c4b645b2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #wcw all the bad bitches &#128069;&#128166;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-73bb3c49d8394db4b6ebc551b6053e9c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#127829;&#128049; RT @TAN1AAA: RT @PeachDulce: A piece of pussy http://t.co/BcWiT2nuz5\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dd0f9d5e5719445fa65fa478dce241ed"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128514;&#128514; &#8220;@JusDahl &#8220;@JustKorey &#8220;@JusDahl: Y'all have boring sex.&#8221; Nope.. I lick the side of my bitch face when I'm hittin it from the back&#8221;&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-928042f3b00c489b824863bd2839d402"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128514;&#128514; niggas sending screenshots of me to they bitches like \" stop texting cuh \" &#128557;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6c6de297854047869d0ab6ade01b18a4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128514;&#128514;&#128514;&#128514; RT @MREEUH: when you're trying to relax but your pussy is shooting out light beams http://t.co/5eHbmr8TKo\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3a747c97da40475eac5a2971d19bcdf1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128514;&#128514;&#8220;@BrandonBeSlydin: My fucking god bruh, the birds from southridge are in front of my house.&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b3ec7a2e7dab4f21a18d13e7aceb3b3a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128530;RT @SedSince81: niggers RT @VonshayeB Before any moves are made... my black ass must take a nap!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6e64aff89ed44d7d85c7f9ab5252e103"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128540;&#128583;&#128582; I hate ya bitch ass\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2b06d3b64af84e03a90f58f2790be554"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128555;ugly bitches get no love\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-36591143cd724127b683015a7ae50f35"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128557; RT @That_Mclovin: &#8220;Yass bitch Yass &#128128;&#128128; @VikkiNoSecrets: Too soon? &#128514;&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f720bbaf268e47a182cdabe9939b55eb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128557; RT @TrashAssTweets: When you wake up to bae being a hoe on the TL http://t.co/rbxh33ounM\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-55a214383869406e922169e9a314bd6d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128557;&#128557;&#128557; Foh RT @MizzCreme: #IDGT RT @eTheHustla: Good pussy don't neva get tired!!!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2d632885f8da4b9ca69177936093556a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128563;Oh this bitch Midy must be crazy http://t.co/75LWvtD4oJ\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3e03d6a0f071495daa8e25af33ef8c95"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@4REALROY: @Vomitdatruth no more chunky nugs for you &#127795;&#8221; he doesn't even hook it up like that.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f2bd37d09a604b9284f2dd88c3318182"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@954Nole: This bitch is looking dumber and dumber by the minute.... &gt;&gt;&gt;&gt;&gt;&gt;&gt; @MattHomeTeam&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a6f9e90c48544aa0b37ed223e31a7b8a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Al_Teez: Fuck the cowboys. My birthday in two days hoe!&#8221;&#128530;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e8ada7d6bad043fd99dc85e7fe3280c6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Amillinati_: Bro like I really enjoy like eating pussy from the back... It makes it more nasty, I like nasty haha &#128520;&#8221;you like eating ass 2\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9aa8bb1a9cec4fa18133b6c94e22e111"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@ArianaGrande: is this flappy bird shit a joke or........... http://t.co/L3xDYJypjI&#8221; on the real tho\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-834b2c24d0844f27a77ec8644ef579b5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@AyoO_Fettii: My Anaconda Don't \nMy Anaconda Don't\nMy Anaconda Don't\nWant None Unless You Got GOALS Hun &#58143;&#58113;&#128213;&#128218;&#128176;&#127969;&#128107;&#128141;&#8221; Smh . White Ass niggah .\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f8a13d40d82e4027b9b4c20e365f76c0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@BurgerKing: Tweet how you #WatchLikeaKing. http://t.co/jrgG9Eq4Xv&#8221;\n\nI #WatchLikeaKing fo da colored folk dying from dis shit food\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e297ba4f2db344b89b125325aaf4c658"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@CMRE24 &#8220;Sum wrong with the pussy&#8221;- Sweets&#8221;smh\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c858799b4984468487a70fd11fe83c16"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@CakeMamaa: Y'all hoes messy on god !&#8221;nbs&#128064;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e1f0c627c64946c993f2a18a5160b0ad"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@CelebovickOTF: I hate a bitch that like to argue n shyt....:-)&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9291773c34d74d08abafb67aac521acc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@ChanelleLeee: you boney little hoe \"@wizkhalifa: Smile for the day. http://t.co/DcXdFtjSjt&#8221;&#8221;\n\nThis is funny? :/\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ceda930177eb483885cf29aa7fd8f8b7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Chrissy_Cindy: If a bitch tweet \"I lose interest fast\" slide in her DMs cause she a Thot&#8221; good looks\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-60eaf3831467416185e7ab715895f7e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Cinnnthia_: I'm just a bitch for no reason. I think I'm funny sometimes&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-65f03beaa60444929cdc05c97aa3db31"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@CiscoAllDay: @1Bcarter if by marrying her to avoid paying child support is a win then yeah lol&#8221;we don't see the hoes the same &amp; that's ok\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b32ca271d03c48de9e186be3907a5960"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@CiscoAllDay: If you have a different dude every other week you might be a hoe... #js&#8221;no your not don't listen to him ladies #DoU\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b69780e4e589463693171063d179d845"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@DreStiles &#8220;@DrTruth247: Buddy drug the whole train lmao good ... extra ass hoes&#8221; hate them NY hoes&#8221;me too\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d3b18636feea4a9ea03335d2e10d3eff"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@DrummerKid0328: Reggie gives me headaches my niggah &#128545;&#128567;&#8221;&#128175;&#128175;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6b052780cfb14422a61b4f1dbb0a8972"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@FRATernize: I want to be obsessed with someone and I want someone to be obsessed with me&#8221;then u might have to kill the bitch&#128563;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4a2da326f7aa4b95810f81ae5b2f443f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@FliirtNextDoor: Phat pussy &#128525;&#128553;&#128166;&#128166;&#128166;&#128520;: http://t.co/Cbel8h29e1&#8221;that looks like a scrotum\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c5a11a7ddb4246c5a43d6d459f69f715"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Fly_Air_Walker: Everybody entitled to they own opinion tho.&#8221; Not that bitch she need to shut up &amp; sit the fuck down\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7ceff9e6a3bf4b769a84f33eaa58c39e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@FriendlyAssh0le: 5'3 200 lbs aint thick bitch, you a fucking warthog&#8221;&#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7a70f3d31d6d4c79bf90f833e9f87246"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@FriendlyAssh0le: You fat bitches needa stop biting your lips when you take pictures. Y'all look hungry, not sexy.&#8221;&#128514;&#128514;&#128588;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-907361d416fd4353a488071ea63c0d2a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@FunnyPicsDepot: All the seniors young side hoes gonna be at graduation like http://t.co/qFDBBu4hPV&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fc8123b5433d4789b50217462e2a96be"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@GANGLANDABBY: What these bitches want from ah nigga &#128526;&#8221;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-89d92fa379bc4aaf82d51831bea70b8e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@G_Coppo: &#128557;&#128557;&#128557;&#128557; RT @ShardDaGawd: When you go down to eat the pussy and it smells tangy http://t.co/oF09PiyL8b&#8221;&#128557;&#128557;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7c751476f9ee4e6b81a7fe2a2933674a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@HaiFuckedYoGirl: Eat her pussy nd look at her like this &#128540;&#128541;&#128540; http://t.co/ksazoyurxv&#8221;@KellieNehls\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0db2c3eec119482d827cd6a87fea3dec"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@HighClassCapri: Ima show my ass tonight, I can feel it &#128586;&#8221;omgggg I was thinking the same shit bitch&#128553;&#128553;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ef694e336fed4ced99ce7d6ccc7c9dca"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@I_DontKIAra: done w. All these fuck niggas &#128554;&#128514; snip snip hoe &#9996;&#65039;&#9986;&#65039;&#8221; stfu\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d3ac54ed51e540bcacc4544e283aa64e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Iamjayla__: @WB_Pooh_3x Bol that called the girl a bitch&#8221;Oharrd coo I'm both of them tho &#128526;&#128076;&#128175;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-44ef5561c14543e9b6fb4679a8c93c17"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@IdLikeToCare: @idpetition Wow, putting a whole manifesto up using TwitLonger. \n\nAnd by a Canadian. Hey hoser....how many will you adopt?\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-af8b6414ff4d4ceba887e9f68d1024c9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@ItsLegzzYo: Yall so fuckin trash yo!!! &#128545;&#128545; @DIRECTV&#8221; man them niggas gonna win the skins trash\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-24e8ae08224c468dac168dedc1b4c01e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Jaime_915: @Thompson_Era @HannahAlisee null bruh they both alive thats hans bitch who died&#8221;\n\nOh well FBD &#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-10bc634117a14b2aba3bc05e262c3b73"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Jaydillz: The day you unblock me you will become a man again. But that won't happen so you just a bitch.&#8221; @iDisrespectHoez lol\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-461c6249794c49a39c7b3be6426ba58d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Kash_Stackz: Yall are so confused these days. http://t.co/l2ipE6UvQh&#8221; somebody put that hoe in a dress\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b04c0bcaa20d4d1f9947a16b03afd372"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@KingDakkar: These hoes out of control https://t.co/hZmf5maYva&#8221;LMFAOOO\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-39ec98e1c0f34f31b3a45dcbbf5947b5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Leelucas_: @darwinjames125 @100046729 they can't fit on that small ass street son&#8221;bitch you know what happen last time we was onyur st &#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-043ac0d35d2445bd849736ca8bf28eaa"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Leelucas_: Going dumb on this essay&#8221;&#128514; bitch you sad.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0d7ef8a7cf5f4e0593682ef881110c6f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@LesterrNem: Bad bitches is the only thing that I like &#128074;&#128064;&#128074;&#8221;&#128073;&#128073;&#128073;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-39b4bc68b9e441068a491ff87e41f292"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@LongMoneyTonyy: @vintage_monroe_ DONT Say Shit Else ! Just Stfu !&#8221;bitch we can do a lot more off this Twitter shit you can come see me\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fc25cdfe3e8842b785dbd50b17509ceb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MJ2307: @1Bcarter or he's eating it cuz he's with a women who just can't cook &#128586;&#8221;then u gotta get rid of that hoe\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ceac3f5d4f754215afd00a05ef6a9fe9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MaRAtheeMODEL: Hoe fax = type yo bitch number in google to see if it pops up on back pagE\n\nthank @HeartOfAHustlah&#8221; &#128514;&#128557;&#128514;&#128557;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cdb547f3b01443d59f7af0bbe23b4b68"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Moneyhighpapi: When you fuck her GOOD she trip even more&#8221; good dick makes a bitch go crazy\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ff1635a063274cf0b5ee36710c3464a8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MosoKnowso: If a photographer doesn't have a back story on how he started, he did it for pussy #believethat&#8221; #CANTKNOCKTHAHUSSLE\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fe81a6eef2b3489c973d8ddccd0d6959"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MsFoxyBaby: #ImAddictedTo girls w fat pussy slim waist fat ass n innocent smiles&#8221; truuuuuu\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-94bd3fc34fc74fac83ef244eeb37c516"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MyDick_SuckThat: Who that pussy wet for ?&#8221; http://t.co/CruDDDHxHh\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d12726cff24a4c598c51c604101d09ba"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@PaigeHardesty: A relationship is only made for two.. but some bitches don't know how to count.&#8221;amen to that!\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3bd38b5cbba64a7b84f4c3f72258bac0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Papi_sez: Why is everyone who thinks you're an unfunny pandering jizzbag automatically a troll? @thatUPSdude&#8221;\n\nAnd he hate colored folk\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b47e3170d0134358811c4a5e1d180f5f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Rell1Hundo: @what_evaittakes Boney as shit right &#128514;&#8221;I seen em walking down the street Ctfu I was in the crib tho! He a lucky nig.\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-66b16cc8c68b4cc583ce12d2c9bc9df5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@SALUTEmyRainbow: &#8220;@thatkiduriah: bitches be like, messy bun. http://t.co/JfFXnwV1DI&#8221;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#8221; &#128072;&#128072;&#128072;&#128553;&#128514;&#128514;&#128553;&#128079;&#128557;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8bbd35df098e4c10aeb60940360cb160"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@SexReIationship: Who else thinks lip biting is fucking sexy?&#8221;@MaiaPapayyya_ until that bitch bite too hard put a hoe out once for that\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-db5645db0d0249168f2235486c33abe9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Sexualgif: when he makes u his WCW &amp; his hoes favorite it https://t.co/iND1vON4JH&#8221; &#128520;&#128520;&#128520;&#128514;&#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a5cf14571db8492bb08b6e1bdadcb78b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@SexyUnderHere: Females that know they are hoes really the coolest chicks....all sex asides&#8221;lmao\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4ee1146da15743f8b27c731c0ac7b3e1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@TKetterhagen: &#8220;@lars_matthews: &#8220;@Nspan17: I really only like like 3 people in this town, everyone else is a faggot&#8221; me&#8221; me&#8221; me\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-141d874e49a64ea7bbb68923bebdeb71"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@TedOfficialPage: Fucked your bitch and left her like... http://t.co/x41Q6LUH37&#8221;&#128553;&#128553;&#128514;\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-823c596dd3f54bdc9ca57469cb6fd355"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@ThaRealLilWang: Ur ex girlfriend is a slut&#8221; fr f dat hoe\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-282b1795b0ad4b4e8cffdedaadad875f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@TheRealTootie: I smoke like 20 backwoods a day&#8221; cop dem bitches by da box woe http://t.co/lDr5s3kpng\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-beb3000a2fdf4916bc963892362e79a0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Tinypinkisboss: can't stand a playin ass nigga&#9995;&#8221;bitch*\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-16a137968344421f8032bc17d644f6ca"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Truth_305 10 under in Miami is a keeper&#8221;not hard to find them hoes just like to brain wrestle\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-937188b1efa844d8825cb0cb6f6730f3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@TweetMeTFOut: You goofy RT @ViriDoesItt: Only goofy niggas simp over chicks with community pussy..&#8221; Who are you?\nLabel: Offensive\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f2091a2b77e54750a46729762ac11820"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Untouchable_T: Never seen so many perfect bitches til I made a Twitter &#128564; but &#128056;&#9749;&#65039;&#8221;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;&#128175;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-47f582e2188b4570b41db6ceed70813d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@WeirdLilThingz: Stop giving a nigga pussy he stop actin like he care&#8221; no true totally ...\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b8cd54cf633440fa88d867c86a254c83"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Whoscherry: Ever met a bitch that fucked with your nigga but was to pussy to admit it ?&#8221; A bitch for a bitch.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-962e93f6d631420db8dc4899eb0918ee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@WorldStarFunny: we don't love these hoes http://t.co/WeKdL09bq5&#8221; @Ilovebamf &#128076;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bc73b74278c842e997779f9509a9ad14"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_BeautifulKeezy: im so winning. &#128525;&#128525;&#128525; http://t.co/Jf6U54CMW3&#8221;&#128514;&#128514;&#128514; bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-79cc48a2fa414af0bd3f467e7a200f9b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_BeautifulKeezy: these hoes be playing w/ me like I won't send baby Cain at they niggah !!&#8221;yesss messy.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b99d9176088449068d3b5d31744b887c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_CocaKoula: Oomf a fake bitch ass nigga point blank period. Smh&#8221; AWWWW SHITTTTTTT\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9740c6b84b614003a2c1711d3ef7f7e9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_Dominiquecs: @Thompson_Era hahaha! She to much of a thottie for you!&#8221;\n\nNever fear Captain Save-A-Thot is here to save that hoe &#128526;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-311d14664b244a7fad6326fe02d86cfc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_Jiare: &#8220;@WB_Pooh_3x: Where the bitches at ,?? &#128064;&#8221; yeah where they at &#128064;&#8221; I don't know they probably at that Party &#128553;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d1407f783e9445e8a3e4f5dd5f3740d6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_KingRichyyyy: @NoFly_Zone8 @1017_Sqquad you a bitch&#8221;they need to lock yo ass up for sayin some stupid shit like that\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f199b78815834a098b78a91e1f29bb0e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_Leyahhhh_: No one likes i n d i r e c t ass bitches.&#8221; &#128079;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-00328ec5ce5b41059c4b8a67b9c28d30"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_WithFinesse: &#8220;@Shane_A1: Lol I 4got rose been dat nicca tho&#8221; #1 Never forget.&#8221;lol yee I was trippin\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e18e99126f044dd890ad4ff77000a159"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@__Idonthaveone: My friends are some insensitive bitches &#128514;&#8221;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4a18f6d8c6fd45d295325bc8c4aba95e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@__LilBoodyJudy: I'm tryna get some snow day dick &#128514;&#128514;&#128514;&#128514;&#8221;gon make a nicca have a wreck out there Tryn pull up on ya &#128514;&#128514;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-26f812991299436c9be25680d0a1ef91"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@__kiante: &#8220;@1017_Sqquad: Iont got not type ... Bad bitches is the only thing that I like&#8221; ayeee!!&#8221; Throw that ass in a sphere &#128064;&#128514;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-380e935c009d435faedde43dd305ae42"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_chelousmuch_: bitch im weakkk vic &#128514;&#128514;&#128514;&#8221;&#128514;&#128514;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-54bb5649559c403db6c399733d5bbb9f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@avelindner: if he has a girlfriend don't be a hoe and text him yanno who u r &#128519;&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-63aa92a92e134577b5e49fb3c7476475"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@beautiful_bleus: 7. You still fucn ya ex?&#8221;na that bitch corny\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5268c8986fa54ff799de98b077b5722c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@blyth33s: &#8220;@chaserojo: .. where the fuck is your top lip http://t.co/iZBPn0Pms9&#8221; in my pussy&#8221; @lilshwenda\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2cb507a7ad9840c28ab6d7b4a8bbca9c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@cb_marie: I need to find is both a damn job. &#8220;@what_evaittakes: @cb_marie needs to find a bitch a job&#128553;&#128553;&#8221;&#8221;right\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-379fc853d8c14e51b6f1548d08b2aab4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@chloekosik: I DONT FUCK YOUUU u lil stupid ass bitch I AINT FUCKIN WIT YOU u lil dumbass bitch I AINT FUCKIN WIT YOU&#8221; @kaylamauser_\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b9f86128187345768ebc4b9502be8f27"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@chloeonvine: Are. You. Kidding. Me. Right. Now. http://t.co/lFSvymMqTN&#8221; I'll smack a hoe\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a2d59254eac0463b9864cf7aaa0e50ac"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@cierravillela yeah it's really far and it's alright if you like living by a whole lot of hicks haha\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9d56a845233c44c99d6265e1b37c7681"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@codyaveresch: Paint brushes over Bugattis #StundentPainters bitch&#8221; paint me like one of your French girls\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b29df4845a884823a35a4e6c81b60f56"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@comedianjayski: My favorite time of da day HAPPY HOUR!!! #Drinkbreak&#8221;when the bad bitches come out and the ok hoes at home doing make-up\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bcbae26bd5c14c248a5ab802e30f968d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@daaamian_69: &#8220;@tankGonzalez: Stop being such a bitch&#8221;&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a1c9a1b0ef1043d782988caa474084fe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@darkkskys: bitches be set hoppin like bitch get your life for u get beat up lmao&#8221;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7cd8daf2608a4762a9500a7bb7629427"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@drphilDONTEhue: Now ma'am ... &#8220;@_PettyCrocker: Every jawn on here been tryna have they pussy cop a feel on Donte's peen&#8221;&#8221;&#128563;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bb6ab190f4d94b9b92db954b660c71c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@girlideas: why do bitches stand like this? &#128563;&#128541; http://t.co/QQ9vQyLru1&#8221; she wanted to be in MJ's smooth criminal video so bad..\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ac7a104c15fb4349b0c4b60d27aaa5b9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@gmail_candy: It don't matter where we at this nigga always tryna holla at a bitch &#128514;&#128514; @tranSactionRAP&#8221; where. y'all. at?\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-93922ff61fa44c22ae5c0331777b98c5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@iKayKing: Things hoes say... https://t.co/i9zs1OUd0I&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fe7c913c0e0349f4b8ef195de9c95ea9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@iank12: @AJDougherty13 no you homo&#8221; sorry I can't be straight like you and pull mad bitches &#128532;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-254511f1d5744fc9bfe9053d62598e56"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@iank12: @LTomasiello75 @AJDougherty13 me 3&#8221; you don't even lift pussy\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b37f88e03fd94d739c9203c7ee54bd80"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@jjusmaxx: Thot bitches wanna be wined &amp; dined like a wife but don't know how to earn it &#128564;&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6f838084692a44b5bb5cf09c2d940429"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@jooselhynn_: U hella gay u never did&#8221; quit subbing fag\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e9373144ff2e432896a2fae35ce4a2bb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@joytooawesome: @im_jessicaaaaa @vintage_monroe_ haha bitch &#128523;&#128518;&#8221; http://t.co/n5uuCDTDxT\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7ed09e6941fd444a9ea7c9c491f997f3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@keyna__: &#8220;@cosmeticJUNKiee: \"need to get laid &#128514;&#128514;&#128514;&#128514; \nsike im celibate\"\n\nbitches be like &#128070;&#128070;&#128070;&#128070;&#128070;&#128070;&#128070;&#8221;&#128064;&#8221;&#128064;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2822eb55e05c418abd901ab86fb5b2f2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@kincade00: Rico be bored then a bitch&#8221;damn boy you watch me more than these hoes do\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-91f4bca488074aefbf406e85fa05f380"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@koleworld4: @what_evaittakes lmaooo nooo hoe&#8221;oh ok&#128533;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6a7d678da56a4504bf5bcdcad47c433b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@lifeof_brandon: &#8220;@100046729: @lifeof_brandon bitch I called yu back&#8221; the lies&#128564;&#8221;&#127797;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-663db05e66854423a002da257c8edc6d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@matt_chu22: @wagggggie @RyanRiehle &#128514; I'm not close to being your dude, master chan&#8221; that's right bitch, bow down to your master &#128591;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b478f5435a074f8ebffe1c3a2e4a2ebf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@missyf922: It's my birthday!!!!! Yesssss!!!!!&#8221;\n\nObviously nobody cares bitch\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7f04eca1d6a647e38d8da3386fc346bd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@nerfgunirwin: &#8220;@1DAlerts: Just saw Ashton. Hardly anyone cared. Waiting for Harry &#128540;&#8221; wtf&#8221; bitch I'd be all up in Ashton's grill you feel?\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9f03c2117dd54f40a9d778703295de53"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@odlew11: Who clothes in the dryer? I'm tryna dry my clothes&#8221;throw them hoes out\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3489a6c060a54ed7a1fa9d36604fe94c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@prvnceflvcko: When your ex hits you with that \"I miss you\" bullshit ...lol bitch die&#8221; &#128128;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4b988209e83445b988115790a3e0848"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@pskinny31: That hoe gone jam watch&#8221; if you ain't throwing ass bitch \"fuck out the party &#9996;&#65039;\"\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e03cd2a0f9d54290bb7d3308f49f7986"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@retrolivin_cam: Same hoes is still at it, I should've known&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0be5c5cb80014276b31da16f44b4d45a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@riyastunna: don't fall in love with a bitch&#8221; #bestadvice\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8e9a484a22f548e3b6a98601887b55f8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@robbyohn: The Kimberley story is by far the scariest story I've ever heard! &#128513;&#8221; pussy\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-19c27d06830049599f76a81207bdcebc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@scoop82294: If you don't have your read receipts on you a bitch&#8221; the bitchyest bitch ever\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7a34e2ba20154318b2cdc05c30f033e9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@skinnysowhat: @PAPER_CHAYSIN you won't have to herd for hoes no more lol&#8221; lmao I hope not this shit SCHRESSFUL\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0ba11cda454648589d98418aa9fc1272"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@souljaboy: @kmichelle you mean the niggaz i shot? Ill give you 100k if u let any nigga smell your pussy and it don't smell like shit.&#8221; &#128553;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-484186049a924804868d540fa3a4ee31"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@thachosenkid321: What hoes do I have tbh on the highest of keys&#8221;\n\nsame\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8752a184b09a47d49e50087107a0ba62"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@thekiddfranky: I talk to any girl who paid over 300$ for her sew in, show me u Atleast got some type of boss bitch in you lol&#8221; wth &#128557;&#128557;&#128557;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a69df7c970a447c786261d6c92fc6cc7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@thepizzafacts: Cute text: ey bitch come over for some pizza&#8221;@KellieNehls\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8679cc80d2994f73be29d33ed8fe6071"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@thrillamickilla: @JoeDeLaWolfPack &#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514;&#128514; this is me so badly hahahah omg&#8221; yall some pussies\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aea673f6310144c6a05dc958d0eef42b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@truuuchains: If you already out of school, fuck you I hate you and I hope you trip on the stage at graduation hoe&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e4501a96fe404ef3be3b651188914e1c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@tufflove1: show a lotta love to my sisters tho but these bitches so predictable.&#8221; Im in trouble\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-57751a1c1d5847c8816d71fef35c57e5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@victoriag3618: So that history test made me its bitch &#128514;&#128542;&#8221; haha\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-355bd080e0324e35b1154b172dd04105"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@xoxo_hayleyy: \"@savageater: i think if my girlfriend were to get locked up shed be the first one raped.#pussy\"really bitch&#9995;&#128530;&#8221;really swerve\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3d7bb1de5d2049bca8fef2e8bde99d99"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@yeyo478: @Helenbabeey_ look at my benz bitch I've been the shit http://t.co/H0iXjZH0tZ&#8221;LMAOOO\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-694998b1fb704792b8900f3d003c3b12"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' And you know that I believe it , cause her pussy to mee... &#1041185;&#1041240; And she don't fuck with many niggahs , she don't fuck with any niggahs &#1041219; .\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1929c0b23d4a46b1a33f2acaa2b0f7ee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Annnie say fuck that niggah , he soo weak ! &#1041204; He can't tell that you a freak &#1041196; That you ain't lookin for love .... http://t.co/62URiSgiQ1\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b83a0e178191419f8747ff5a30af8c9c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Cause these hoes ain't loyal ! And niggahs ain't either ! When it go down you callin for hittas that you ain't... http://t.co/hj8GAfFZaM\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-81381643f8554526bfe81644dad8ece5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Entertain a flirtin ass niggah if you want too , That's gon be yo niggah friendly ass . &#9996;&#65039;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1c7c35fb08ee40fc8d308e983abef89e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Fuck her right in the pussy &#1041204;&#1041204;&#1041204;&#1041204;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6c747756766d43d4aa51e9f0920e05c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Hate a female that got the mentality of a niggah .\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ec5092e3102747c0a77f8651a7fa604a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Hoes on my mind , I fuck hoes all the time . #FatTrel\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8b406a3386a2497ea186a5d346f0234c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' I thinkkk shee knows , about , maaaa otheeeeeeeer bitch &#1041219; .\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c9c13d0a2a0a4048a98db5888a37b7b6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' I will never date a female with another niggah name on her lol . Wtf .\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a027d2a4edbb48f78c3e5f26a3f64307"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' I'm not gon ever be that niggah that hit 300 likes on every picture , but I get WHOEVER I WANT PERIOD . &#1041204;&#1043323;&#1041196;... http://t.co/mKgRljrHcl\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-20ddc0e230bf4633ae59f8d3b2ac0ff4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' I'm that niggah you can show out in public babbbbbbyyyy &#1041191;&#1043215; lol\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2bd2c19599f24972a00c601c2e9c647f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' If you get yo girl took don't be mad at the niggah who did it &#1041204; Be mad at her , Cause he don't owe you loyalty , she does .\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2a1d08d512e24d5ca134570491e72382"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Leo Apolonio Look this niggah did a drive by on the bike http://t.co/3NisWlPNeC\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-86734c8f044a4ba1904acce33603709d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Looked at my EX profile and she struggling with that weak ass niggah &#1041204; God Is Good &#1041240;&#1041243;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-06a672e190e7461da2212976047df825"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Make a niggah buy a ring for ya finger &#1042469; , Jimmies for ya feet &#1043353; Jeans for that back &#1041191; lingerie for the... http://t.co/MxwTT9H4nc\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-de48d589505d42798fc7beb6ad51ef0d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Mannnnn wake y'all bitch asses up Blood !\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-73fc97ea396b49bdb0a5a2058f0bcafd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Niggah said \" my girl off limits thirsty niggahs stay out her inbox \" But the bitch look like Kunta Kintes... http://t.co/VeqZF9IK6Q\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b5b901b7526e4edf8cea325316532f41"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' O M G you like stop controllin me , I'm like bitch fuck you thought ? She like niggah fuck you mean !\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b688005b5b574ae2ac5d47999d993a7d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Ok my Texas bitch keep textin me , callin cryin stressin me , askin me about where I been but I been with another bitch allegedly &#1043359; .\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d8d38d0851c74c38bfe16e48b30100f7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' R.I.P Deshawn &#1041243; . I don't know him but I know a darkskin niggah in the hood named Deshawn getting shot tonight .\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dc426e9a54eb438a9a8082ebeb11279f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' She love it when I talk to her crazy &#1041191;&#1041219; Suck a niggah dick , with a whole lotta spit &#1043291; let it drip &#1043292; Yea catch... http://t.co/i3WOHNQo7S\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8d17f8421f1b4d2aa803e35ceb7d5f6d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Somebody come look at this niggah right here * Kevin Hart Voice * lol http://t.co/R2mhWqc2jT\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7d906bb0a4ea458088a05d6ed765c641"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' South Central niggahs really don't be lovin these hoes , these hoes don't be lovin these niggahs &#1041233; . We just be... http://t.co/XnTftnwuVD\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-be58c9470e174d09a910d696c2c2409f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 'Views from the 6' gon be Instagram picture titles for a while...brace yaself my nigs\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c899accae2364d678b1f85e6f05b41b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: *karate RT @SirAsshole: Karrenchi still a bird ass bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d06651f256d04f8f9d45f798e198e442"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: *pregnant crazy bitch wus the answer we were looking for...\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-16acda0b170344559c0a4e5b116ba040"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: *scrolling through fb* some hoe says \"need a man 2 cuddle in the cold with\" bitch nobody wanna touch your #ratchet ass!\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-512f1f997d5f470196ba4e19d6d6ed5f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ,@musclezauber why not animal crackers. i want animal crackers shaped like master chiefs and trolls and gun's and shit, thatd rule.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-06352133c8bd45c3b2ec03040cdc85e1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ... I just feel bad for the women that continually flock to such darkness. Thugs talk the big talk to simple minded hoes and to their own.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8634761b1841422b92efb271eb9a4759"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ... but bitches catch feelings after, all the damn time.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3adc70c039514008b84296d42e5af3bc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 1 more game of 2k then I'm finish my new book ... John Grisham cold then a hoe\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-456a7bc5dfc5488a9682058583b5faf6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 100 days til Christmas bitches\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ea3518ec9a9c4ba99934e0e17db57406"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 100 mile dead zone radius around Philly...gotta go to NY or DC RT @CeeRoss The tri state needs better bitches\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5b8bf4a5ed5a4719a0df49c7fdc9093f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 108 MIL RT @SooMajor: And its cause of Romo bitch ass Dez &amp; Witten not eating\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-626e3d61b91e447fa93b0c5b33b4d2fc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 12 was like \"Blocked bitch\" &#8220;@NoBeeetch: Don't start \"@bdoulaoblongata: They are blocking us in #Ferguson http://t.co/ymPzHmzUxG\"&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fed3ccfc7a6f4f3cb7af9c3fbde3150b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 2 bad bitches, 3 glocks, 4 choppas\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c3a3c1534bf94135a627c972f2e1941b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 2 faced bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-146b88ea1afe40c5809f011352d6c889"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 2012-2013 seniors were chill as fuck. this years seniors are basic ass bitches\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c07a2b7144ab45de872cf63562205e11"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 20k tweets hoe, I'd like to thank all my supportive fans &#9996;&#65039; more tweets to come.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f0ae6f25adb0481497ec17cf4e5feb24"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 21- you a bitch but you my bitch so we hella chillin. also thanks for tolerating me and being my friend.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f563732c9af0449989c43a83ecd48c11"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 2Pac was real af on \"Temptations\". Thats exactly how it be for niggas getting money and bitches\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1d1f662dfaec43989c800401aa85b0d4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 300 bitch we hot, we done took flight !\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f90a3ca5c066410690f9ba130118f017"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 5thharmony user followed then unfollowed me what a prude ass hoe\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f2870d80b0b2485aae0613f1b54dd886"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 7 pounds never fails to make me cry. Im not bitch, I just relate to it\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a1cec9db9ee14d4b926dedc580a7e71e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 8/10 of the girls u went to hs with look horrible now but don't wanna believe it....I'm bout to piss them Facebook hoes off with this\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-45425e7dd280448893ae37348f4aff46"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 90 percent yo bitch with me 100 percent that scrap with me\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0ac8ac4f0d834577bfb5e0096831c78a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 99 problems but a bitch ain't 1\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-882b5f5687864fe1ad2e71932151c6e5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 99 problems but a bitch ain't one\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-97a102414d154d1a892ec33038ddc5aa"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: :/ well that sucks that Kobe is out now... he's still filthy, you can hate him all u want but if you dont have respect for him, ur retarded\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8e3efad6081447ddbb0cfd33d8378da7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ the person who significant other a hoe and you the s/o cheating\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-12cc2d8c2b63487d980beddf8a74b6e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @0hallis0n bitch caught a body about a week ago. Everybody catching bullet holes.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b9c8d2e8084a42a092eeb3b10125d515"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @10HSW @myluca01 @DenisGorman nothing like waiting till the last game of the season to peddle it shit website #heeb\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-551315a78cc744a3be6d341fd622ef9f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @10x90 @fucktyler fugly loose hoe\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9796809842714b789aad0d26052dc513"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @1SonofYahweh..they cry over lost pussy, more emotional than a sissy. They get out &amp; front on hoes simple minds &amp; point brothas like me out\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-acc0c13d54204b8ab1735f49c9f0923b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @40oz_VAN IYCMI. I can't get any work done if you keep showin off your bitches.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f968dd278f3042418a8637e785c89287"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @808NoHeartBreak hoes\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1dda9d9b776643ee941c739dd8a4c5c5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ALaQuannD what you laughing at hoe\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-82fda535ff3d4df58742079774d631b5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ASAP_RocKI_ @HuhWhatsACondom *sighs* 1. Not a bitch. I'm a woman. LEARN THE DIFFERENCE. 2. I KNOW I'm fat. 3. It's called a scarf, dumbass.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4c666d6f4fdd408c81964f0ef5990177"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ActuarialReport We've tried. Each time we go he just sits there in silence and I cry like a bitch and sweat.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-11a1507e97f845448fba893756e5dfec"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Alan_Casillas haha shit niggah i wish\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4be97f5da8c42a9ab841eeed0fc8059"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Alan_Casillas nah i thought u had to bitches lol didnt know peters girl was one of them lmao\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3a416581ce8d4242ab2d338de3f2a518"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Alejandro_Bihhh @CapoDaAssHole so y'all niggaz ain't never listen to no slow shit with a bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8ecd4965c12f4fc1a31d064de3213a87"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Alejandro_Bihhh lmaoooo hell naw bro I be up i haven't seen that hoe\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6a874576c05c4ba9810a6a5aa262eaea"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AlmightyVinny_ @TOnycranshaw22 @RichHomieMeezy \"the hoes be by my house\" , we be at tony spot mf\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6396fa28884c40919d0fae313be1f821"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Almighty_Woo he said he got you in workouts pussy!!!!!!\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2154b131653c4e2baed83f190df57223"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AmirEldouh @jwheels3 Ali is a hoe for that\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b506ad17cae9472189d7a30b38fe22b3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AndrewJBurns1 I would but I got dat new monopoly wit da cards.ill hold it up n see if a hoe will let a nigga swipe on credit\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b834a6865e95452a8a20dd2234a2e6cb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Anellesofia I didnt call you a bitch, I just saiddd bitch. #Jeesh\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2ca6271120a64f0a83450e4f7e8ca2f3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Ant_Dgk @Buckm00se @ChainskiBum would this faggot survive in TJ?\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-42eb979d0da349d1844d23d9eafca317"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AnthonyCumia pussy\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e2cf768340574d1a9ccf9bf376159a1e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AppleciderPapi @OGBEARD @godIevel nah u just a fag\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b2567c5fd83645fe9fe6c897cce0bb80"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Aram2432 I have class nig\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0514dcd0ca9140819d0f5d58939075af"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Arctic_Nation yeah, these bitches aint shit tho\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a7eb9b40fe8748da96fd80fc20b29a0f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Are_Ohh_Bee bitch see you then then bitch. And good luck to you.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bd468785882e4ef08e3ae5c3baa83bbd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Are_Ohh_Bee bitch you up and joined the fucking army and those of us around this bitch was like \"where the fuck rob go to the fuckin army?\"\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6174e8957ba644aba02b0a0c659e99df"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Ari_Tweetz lol na bitches like crazy if the D good &#128064;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3f015b6c594042fb95cbf85bcef898b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AustinBurge44 pussy ass schedule\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-156e8d5ea90a4d93b366d479961689ad"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AwiLL_2RECKLESS bruh did go out like a bitch thoe lol that should not be his final match\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b8ced4f3b02f47219bc89d5b7a9c70da"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AyMrCarter niggas be on pussy shit\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5bb1fb252ba240f480bc3164d1ad610f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BG_RAMBOE man shut yo bord ass up ! Want some hoes ? Cdfu stay fuckjng wid me on here mann\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ed0f11187be0452e954c10b49809f311"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BLUE_yupp finger my throbbing pussy slowly as i cum on ur face\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-90508999612b4ba1983707ed6fa2eb34"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BRIdifferent bishhhhhh waasup where this bitch up\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e6af64f287e1445699f91b0e98c06696"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BabyxShad hoes twerking heavy to that\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4652661e472d45448823eb7fd3a05cfc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BeattyJustin @KYOppCoalition Obama's bitch!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c146846e26d04612b23d0c1913a8003b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BekySawyer boats and hoes\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d8c49f0223644b548fc9a6329237f5e4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Benny_Balboa tell that boy he a hoe i just called him\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2d1bd69d60ca4ac2a2c8cc25fb6ca965"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Benny_Balboa yall fucking trash boyy!!! #gladbagflow\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e7b1e35dafb9484f8bb2ebfc87f8f021"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BigDaddySniper you far asf too nigguh\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9b2d3c180a4a463f96b8f60a05f028f5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BillPeriman @offgridsurvival what the holy fucking hell is going on at the EPA, those over-zealous cunts, I can't wait for 2016\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-febfe9e5b57f48e09d95fbb59b3074b8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BitchImFancy lol so retarded\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b68edc9ddca7425480c9e908e18899fb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BittyTang not sure. I think most women have self hate therfore collectively \"women are bitches\" becomes their campaign and men follow\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-da2116a8cdb74f4d8e1c6a3acac64ce5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BjwalkinRIVERS bro that hoe live\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ee0e2eec73204fbbb4f73dfe58e92743"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BlackManUSA You're killin' me man! &lt;3 Not all conservatives are racists, just like not all NBP hate honkies.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-26c8442f00354b35bf0d465c7dc1ffe9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BloodOfJupiter yeah...bitch!\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-089682482f464b34aad3a515f2b55289"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Bombfantasyyy @Angela_Mastr lmao angela you look like a damn potato bitch, keep talkin\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1ecc16bb924c46f19e2430ee6f1828e0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Bossman_Carl wake your ass up hoe\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-11d3cd0085434a5fad1efd61381e700f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BranninWGL I'll say it for you.. Do ya woman want you on the couch in plain sight or outchea with these bitches? Simple.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aa7f586f41eb4346a5e8f17bd22fd9c0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BraveConWarrior She is a bitch ! This mess is all BO's fault! ALL OF IT!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aeee29bc2e8c4d4fbf36ff319503ee87"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BrendaGisselCA that you got hoes damn\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-78512821366544528a98c724b66eb383"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BrodyWayneLyles these kids are pussies. We got a white trash kid &amp; a ThugNasty wanna be up in here &#128514;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4f96e65d7dec4eb6b6b7f7910b7a2e44"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BryanBalsamo lmao u ain't a savage &#128514;&#128514; these hoes for everybody\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-343a5b562bb544138d4e3c79409d6cf2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Bullskickass I've decided that #BullsNation are retarded. #love\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-60f5200ff8c849839dd99c9dbf21c643"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CMBGaming11 @BeechHD oh you mean like how you started to be a cunt to JP about something that has nothing to do with you?\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1e5854e7c9104468b1d7629e75102dee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @COK3COKE Now, mfa don't wanna spend a dime wit em. Prolly out here yelling money over bitches.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-021e6a41ae7e4c6a9c64b4a05894c3af"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Caliqueeen14 you da realest bitch out here Amber\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bb1d6c0323d8499793db1fc5b44d5177"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CallMeRenee_ bitch im too mad im finna throw this bitch outside\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7bc525d8694b496fa41a6a7444b7cc30"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CallMeRenee_ bitch u 1\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-22a89fe1279e41239f0a119416a37d80"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CallMeRenee_ dam bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6ce352c58729427d894252dc4e4b764b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CallNeeshCakey I can't bitch\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-326f5461d5eb40d2a1a064386130e564"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CarelessOne92 I'm not Hollywood at all my nig, u brought me to twitter n bounced\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3634f9b35a4d49feaf93c29399a75d42"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CassiusClay_232 Lebron brought the bitch down to his knees chill\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b26acc5900c24816a26ae2528abbcdc8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CassiusClay_232 who all in that hoe\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-82d532976f7e4a28a23815c335500090"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Cee_Murda94 bitch bye you can't get it\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7fc204c019044242984cd8c275cd55c8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Ch4BrickTamland @Ch4BrianFantana yes because I too want to be fat and have a fat bitch wife\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0797d62eeabb492eb147f93748281c64"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Chokmah_Makob ok! you billy goat hair hillbilly\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1a7f791ab051412aafc24a38aa81979f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ChrisMcDowell_ dont be a bitch.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a2d4a06ce13043798050984b68b7399b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ChristyMack ugly flat chested prude ass white bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0de5bafe6db648da8913971dd040137e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CinWicked Did you just call My Sweet Baboo a ho?!?!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-148d8fb663324db2a3fb688bc6f637e4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CoreyRoyalty_ *hoes\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-91f9dbbcc8d64580894568097d852047"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CsSalazar15 see bro pussy changes you &#128514;&#128514;&#128557;&#128527;&#128527;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0ba1bde673d243efb2630425e899f94c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Cuff_no_Slut cdfu bitch you fried\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9258006759144f5b94b1cfe847bbdb47"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DEVIN__the_DUDE You ready to make this stats test our bitch?!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a076873cc5b64beda624c72475a77a7c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DJSuggablack some people do shit to get shot at and then be like \"people hate me, I dodge bullets\". Karma is bitch.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-20c6479af1ae4733a6836963553e9c7c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @D_41395 bitch don't b a hypocrite\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-973bef8f6d5c43b6ad4c4c56f5db13e4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @D_41395 cuz I was gunna smoke u out today. U a bitch tho\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4d81713b7e0b440dbf6d09b78bcdb036"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DaJetlyfe my nicca\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-05b90a852f454625954204216f69d7b7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DamierGenesis pulled up in that bulbasuar, you know I'm bout to make yo girl pussy sore\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a9fbba05c4ef4d01bc8aee6ac53489b3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DamoneTheDon bitch I got some bloods dat hang in la\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-489faf71bfe24b6fa3b2f04a5d5a1515"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DaniCim choke on bread bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-595a2dab579a4e5fade52fcc4164f1bf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DeeMayweather the fck? dem bitches always got sum shit wit them....\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-de67682d1f994eebaaaf2f2303cf91c0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DiggyRoZay she the only bitch that stayed loyal &#128554; she a keeper bro\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-86f3d0fed1bb4f7395650add9881ab1f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DizzyBala man both them get around a lot, bunch of hoes.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4e206eaccb414fd6b33f361afa40402f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DomWorldPeace Oh nab.. Def not that easy. You may not know, nor believe this but I'm legendary for curving pussy.. lol Guilty pleasure.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d315fe10ac9841abbaf0b6b2991e23fe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DrMalvo \nI likes it back dare. It's free fo me cause whitey pay da fee\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0f55b4b7724e44c492079b16d3de39d2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DreadHeadxx bitch hallon\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e3ccb3e6d10144799f2cbc23af2bfffa"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DriveMy_Lexis yasssss bitch yasssss &#128525;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f428d9b61e0b4b98abe2fc83d65d32b0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DutchBrosPlease you're welcome, I miss you too nig nog\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9995c3fa29854292be68dc02e6e369ee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EGP_Guamo @SonicBoomBrad I'm assuming it would look something like a bitch slap and a Dickpunch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4bffb90011ca49398a84c07c86108175"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EZadick don't fail bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fa4896c400624ea485a5acbd0dde32a9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EatMyTattoos that was real nicca shit tho lol\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5d9b2ff130e0407db9aa1696b1ab8d29"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Eddie_Sativa87 pussy.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0cb98a54ffec4140b85e7f4545937590"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EdgarGuillenjr your a punk pussy ass bitch! Dude you don't have the balls to fight all you wanna do is wanna hit girls your a fuckin bitch\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5bf30710722e4457aab0b7585ddd7ef5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ElJefeDeJefes4C damn bitches on a niggas mind haha\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-47ca156dcaaf493db573159c1f1d8106"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ElizabethBatman &amp; @z0mbiedance are bitches.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-97bdebf8aa35431f93fd26738d7b9623"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Ese_Miro bitch please &#9995;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4f41692e6ae84c70af13fd901c3365a4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Evan_White4 @jeremy_hemsley really that's why we got side hoes &#128526;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7d242d8f40f640fe8dd669fe050b850b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FRANKTHEFOB ok u hav gun. I love you and you are my superior at fighting games and you probably get more bitches too. peace &#9996;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b40cf54e6ae5451382bce324a0b25fa8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FemsHaveBallz what an unfortunate clothing choice... Hoes with the crooked belly ring. Completes the \"dumb trash\" motif perfectly\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-17bb70f27cc346bd8b9419a78b2bcce7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FernandezIce quit being a pussy\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-79b825d7255c4b9f9c5b1fb26f0d32ca"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FeyeNody Ja zo denkt ieder wel 't zijne over zaken he. &amp; je mag mij noemen hoe je wilt, ben namelijk erg voor vrijheid van meningsuiting.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2626c0273f874e2b8c24238185ae495f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FixItJESUSx just be a hoe then\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-49b430ef8b214edb8fa1bde094f8b6be"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FlyGuyChanze lol you tell that bitch\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aa8cb3a15f444d63ae507864481b4904"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FredRPVasquez damn he was my bitch for Eddie Johnson teams last year\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-181455d09494493da06b2a9d9fc3baee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Freegeezy17 nigga look my size, plus it get hit in the ass, an look like its been fighting all its life.... I'll sneak dat bitch an RUN!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8d4357ae71324d1b83b4f51857f075e2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FuckTheMallcops @theharris338 @MrMooncricket @BobbyBotsods @JimTalbot1963 @UncleUnco aids fuck? Smdh u punk bitch.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-341584d819ae45cf8cee4eb8062a4a85"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FusionRocks @jumabr \nI likes me dem Mexican hoes. Day suck me off for 5 dollas\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e9aa267babc74cf69bec36eaf20725a1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @GMANisTBE thanks dumb bitch\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-719342c31d094e2cbe4f66b8af208c7e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @GenuinelyOT lol, that pussy got rich niggas losing their minds too. Got Drizzy &amp; Breezy beef'd out, that puss is the devil's playground.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ddc34e9f1037438fa1c904887a56fd88"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Get__Em__Craig funky hoe you gone solo\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-00bb2fa7130b4a6590da519821db0055"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @GingerDemoness \nMy shit's like an eggplant baby. Black and big enough so dat all da women gets dem a piece\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b7657ec2284f4777be9fe0d71b2a3c0c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@Allyhaaaaa: Lemmie eat a Oreo &amp; do these dishes.\" One oreo? Lol\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a8443eca3cfa4923b64c7123248a3a7e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@QUAN1T0: 61% of welfare/government aid is claimed by white people. So y'all black slander is trash now.\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4cbc7eae4ec74a72a68fa8b295e5a5d7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@RachieSoul: @DizzleOfficial inna di ghetto!!!\" You alone lmaoo\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a2d9042a9c364d65a36afa5b04b52198"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@TEE_JONEZ: @16stanleys @KingCuh tuku ho idk blah blah blah\" &#128514;&#128514;&#128514;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9422a5d091f1457b99d298d247f545c3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@greggutfeld: a video an entire media will likely mock. http://t.co/XFr1cRXWSm\" i am such a crybaby\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4e234e968c154a0eb19e9ed261f69ad2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@hxhassan: Jihadi patron Hajjaj al-Ajmi is arrested at Kuwait airport https://t.co/ZmloKfWDQl\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2e4d00d977724fe9b19893ce15ba42e0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@itscoleharmon_: When twitter rappers dm me their trash links http://t.co/35nMR4AUQg\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-15827caf27e94c84a8566d492f204dff"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@jethromass: Photo: http://t.co/CxRs5BVhPw\" he is in sole heaven\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-88203d3069c94c1c9803b8b51b942860"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"@rugbysocklad: Fit lads! Nice gear! http://t.co/ThnXX1lC1M\" these scally lads n trainers would get it\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4b5472ad883042fbb0ea3a5454872d0c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Bae\" sounds like such a ghetto word. Use something else\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-42a91e4d2b0945e69cddf1a116f50e16"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"How about we draft all those gung-ho folks and send them to Afghanistan or other war zones so they can show their... http://t.co/sR1zceHx\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4f66ab2cc41b4e47936b42d66c47fa04"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"I am a thrill billy..with a hillbilly heart.\" -@billyraycyrus. HAHAHAHAHA Jesus Murphy!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7a7aef1c34f24cc5b262ffea1067001a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Is that an albino Mexican?\"\n\"No dad, he's Asian.\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-992d47a7e7704b65a6470f77f60a2292"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Just follow the yellow brick twitter.\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c165ec2614f848e08a7d69ca680696a1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"The water isn't yellow, I'm a healthy student\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0979c8a1561a499183f4450cf82dc9c5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"They have to. That division is trash @NoMeek_JustMilz: Saints gon win the NFC South...watch\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d52431b15cb448a0af53120658220c6d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"Yaoooooooo @yea_im_JAMAICAN: Mawnin yardies! &#128154;&#128155;&#128536;\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c7f9ba74dba94c57b4ee9831c9eed1cc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: \"hick and raver is a venn diagram that has a very large intersection\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2ac14da72da04277b06cd90967fe1a96"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #BlessJesus The #Crown of HIS head to the sole of HIS feet\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fdb9188640d847d5b343bd1b76b61b46"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #ExplainAnAnimePlotBadly Boy with a monkey tail grows up to the the savior of a futuristic yet old earth\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a535370759ef4cc29c2a037863d9a10f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #HappyColumbusDay .....hate to sound all #PETA callous and all........but #buffalo had it a LOT WORSE than the #injuns..........\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-54b651c9ec004dc0a5fe6e6067f2ce4c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #IU 8 straight nation #college soccer champions! Wow! #hoosiernation #hoosiers &#9917;&#127942;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-47f483d265d54f77ba5fac659f3540be"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #PacerNation 4/4 on the road! Perfect way to continue after #iubb have finished #NBA #Pacers #indiana #hoosiers\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c43b77a62afd430480c2381ee252b992"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #WhatImCraving Peanut Butter Oreos &lt;3\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-05ae792709b64e50a85430f329ae2afb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #WorldSeriesGame3 Hunter Pence is so annoying he should be a Red Sox player. Shave fool and take your Vyvanse&#9918;&#65039;&#9918;&#65039;&#128074;&#128074;#Yankees 2015!!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-56bd3f6dc6674d1eb05d8862dd2c4890"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #Yankees #FireCashman I don't want Arod back.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c6826d894e6c4682af3f5f065f453acb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #Yankees 6-0. Nine straight hits. Price... Not your night.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d8ed223c016f459fbc6daff104dd9228"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #Yankees Primo! Just got home and the Tanks are on MLB. Finally! And they are winning! Even better. Time to get serious, Sept call up time\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bdcc240d2ccb49f7a1a75103b94bb516"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #metal only, honkies!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-16f696801f9d497ba7c43a6a54cf6197"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #rejectedpeanutsspecials Its The Grape Crackhead, Charlie Brown!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-16099367fdce490da566c781b86f9144"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #stateoftheunion would last 15mins if they let the President talk all that standing up clapping is for the birds\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b0de86768b8d47a898fbcc85639c0c39"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #teabagger state like mississippi opposed to minimum wage, child labor laws, unions, is pro-scab, sweatshop work - pretty much #SLAVERY.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e7693b809ad541bea97042a29ddac6c1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128557;&#128557;&#128557;&#128530; RT @KingHov1313: At work imma real Uncle Tom!&#128584;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5fdb81e047c94a7f9d400381d85da162"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@AntiGlib: RT @nateyfu123: #Yankees Michael Pineda in his next start.. http://t.co/Zb1zWN0jet&#8221; @954Nole\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-973fe7b36d6c4ee78d73e02e9321f8e9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@AustinMahone: just got a new fish it's albino and I named him shaquita #yee&#8221; bahaha\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c81b1017a2a14a189627bfe0f1146bfc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@BurgerKing: What&#8217;s going to be your pick for #SelectionSunday? #2for5 #WatchLikeaKing http://t.co/aBam30gSk4&#8221;\n\nDis make colored folk happy\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-51c2a3f2b81644c290bc37a4ee1e6b4e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@CaptainYankee2: Two of the best Yankees Derek Jeter and Joe Torre #JoeTorreDay http://t.co/XMyxfDBKOX&#8221; @jordan_luree\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cd3dd16738ff44b484cb4e72a2a41f24"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Deuce1990: What will the Lakers be after kobe&#8221; trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fc570371c9e64d9ab9b945912c2273e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@HeyKeifer: Oreos are basically dirt circles with cream.&#8221; True.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e8afc9eba72946f7bc857d70363831bf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@JuniorMaye8: A lot of them are though. Attitudes be pure trash&#8221;\n\n#TeamWhiteGirls \n#SwirlTheWorld\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-042d40a6805a4355b7474e2a24f76a14"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@King_SM If Howard elbow bosh, will bosh fight back?&#8221; don't have to got mcbob bird and UD\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e5841addd7334db3a6ad75165f9a7f22"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MomMeMustHaves: MMMH Daily is out! http://t.co/bPtRtXcel0 Stories via @KristinCruz&#8221; @ExMoShow #yellow is IN! &amp; @romyraves luv the bling!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-76b79228aa91417a9816b0c1ecc1e367"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@PlMPCESS: In the fashion world \"urban\" means \"stolen from black people\" its ghetto on us, and urban on them haha http://t.co/S0XWGfLJ9C&#8221; &#128588;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8e4e6e4d43dc44dda06f7b1b9d57d766"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@RaleighBeougher: dumb beaner&#8221; http://t.co/r0hABEQhSu\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a5b0584d858d4f74857e43a4a2d1bd14"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@ShesSoBlessed_: Oreos And Milk &#128523;&#8221;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fa79fc3f6acc40679ab3a3d173ac9ba4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@WORSTRAPLYRlCS: http://t.co/hE19TIfqFX&#8221;\n\nHow is this trash...\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-216c2086acf0494fb129be3ab8d52fe6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Yankees: Alfredo Aceves in to relieve @CC_Sabathia here in the 4th. #Yankees&#8221; he needs to go away , gas can !\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-24684d1f44f3491e88b03e9e22e876e7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_LoveCarolina_: My Lakers are going to be so trash this season I can't wait &#128588;&#128079;&#128530;&#8221; :(\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-680ecf95d60a476ba912b00b819bf820"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@butter_obama: I hate when I attempt to make the yellow light but the car infront of me stops at the light &#128545;&#128545;&#128545;&#8221;&#8252;&#65039; I be wanting to fight&#128514;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-29619f446da34fbc86d91332a55a34f8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@hoppk92: @WCCORosen Sick of all the trash talk and cocky attitudes. #shutupandplay&#8221; Refs have to take control when needed\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9226e062738647ad8416e6af9bd797b8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@iCARLEYBBY: &#8220;@DJZeeti: twitpic a selfie with light colored eyes&#8221; http://t.co/BSOYlL83Iz&#8221;&#128525;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b6753a2c850a4411926ce14342008c7d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@nypost: If you used the ObamaCare website you should definitely change your password http://t.co/VEd4Yyztok&#8221; hahahahahah that's sad #boon\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6ecf27784e234e0e9444964a6596bbe4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;There is a time &amp; a place 4 decaf coffee. Never &amp; in the trash.\" http://t.co/ZVJROXgNDQ&#8221; #MommyMonday humor via @JenerationPR &amp; @theskimm\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c34b66f1c44a413098ce321e93709531"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733; BEST ASIAN MASSAGE ON THE Brooklyn Park slope --TOP RATED SPA &#9733;718-622-0221 - 24 http://t.co/saWpjDtIGN\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d0e04d360b7e42ee98767bba2736aef2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733; BEST ASIAN MASSAGE ON THE Brooklyn Park slope --TOP RATED SPA &#9733;718-622-0221 - 24 http://t.co/thXm7Hjo07\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d905a7bb5b8a4731bd7613e1f12f4b7c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733; BEST ASIAN MASSAGE ON THE Brooklyn Park slope --TOP RATED SPA &#9733;718-622-0221 - 24 http://t.co/yRfdaIooYZ\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-61bb47101e41465c96f093b71bf682d0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733; BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA &#9733; 718-622-0221 - 24 http://t.co/8KUzaPFCMF\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-105d1a0bb364443da2c16e97754dcdbc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733; BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA &#9733; 718-622-0221 - 24 http://t.co/TQS3wPA6O7\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-eff56f5fddcc4a6c9a9b64aed3995796"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733; BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA &#9733; 718-622-0221 - 24 http://t.co/ZsAAzFL0p5\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-89162138682b479b9799580527967295"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733;@&#9733;@&#9733;@&#9733;@&#9733; GRAND OPENING ! &#9733;@&#9733;@&#9733;@&#9733;@&#9733; TOP CLASS &#9733; Oriental Massage &#9733; PERFECT !&#9733; http://t.co/2POFGc7ohC\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dae383605240469cadc2a077488a4d4f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#9733;@&#9733;@&#9733;@&#9733;@&#9733; GRAND OPENING ! &#9733;@&#9733;@&#9733;@&#9733;@&#9733; TOP CLASS &#9733; Oriental Massage &#9733; PERFECT !&#9733;/ http://t.co/ydZYr4dVS4\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cf3f598773444c5e98eccd164f2f45a4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &lt;-- nudes are trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c7f1f2d6a27a40fbbd54769694a580b5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: *after BO1 RT @TheGodWriter_: @iDocLyfe Bruh lol I retired after mw2 because everything was trash afterwards.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c7a2636c69a747df83ffad5f47fc238f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: .@harmonica_b could be wearing a trash bag and she'd still be the stylish and coolest human I know\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2f8659dbc96a4f24aed58898f20107b8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 1996 and 1999 World Series Rematch: #Yankees #Braves\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-638c71dba31142309a6ea99e96976696"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: 30 mins for @natezoo919 n @greco_joel to pick out a trash can @ meijer....now do u guys understand why I took 3 shots before this trip\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2da16fb9e6474e00b1eeb0280abbdda2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @0xabad1dea Hard to QA? Time is also a pain to mock out in unit tests...\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cde8ed2160364add929fe31a53cb074a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @1Corinthians126 #Jesus Genesis 2:19 Out of the ground the LORD God formed every beast of the field and every #bird of the sky #Initiating\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7e9723eb7b444f4ca1090407b9b040e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @2ANow She looks like a plastic monkey doll!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a3954c606de040c697dce58e1a304117"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ASourAppleTree Have heard hillbilly grousings that bugs much worse in the KV since MIC shut down.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c93be46fc22743c7a2a8c90e5cfc2efe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ActaBunniFooFoo I like my gross yellow heat lamps. Why?\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-383639955bac40f2bbdca6eee2702a20"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AdamBaldwin @ChicoDelainky clams to be a comedy writer. #untrue\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1ca90ddf00de48bfa5af93bb307bf857"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AnthonyCumia @cokelogic \nHey Antony you speaks colored good\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-99a1c555f12545f0bc8fba77c27be2d9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ArcticFox2016 everybody mocks Obama .Hes an embarrassment to the USA.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2d8db1b1f47946269fc52e0e7c5333ff"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AustinBurge44 either way both schools are trash &#128521;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-56414899577e401dbbd12d0e8c938e35"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BeavisCumia @jimmysdong\nDat cat gonna scratch all up on dat colored boy and he gonna end up in da chow mein\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-18ef007f449c4c3291da41f4e6f21c6b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BigCatCooke deserved victory! #Elite8 awaits your #Orange army. #Sweet16 was no disgrace #collegehoops ill be back next time #hoosiers\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dc4f867066454c378a95076cf942c8ba"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BlakeAnderson21 thanks Hun! Haha\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-15ad779b4da54895961b21dbf0aefe51"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BrenJJGMom @hweldon Well...how about those Yankees this year? What a run. #wtfiswrongwithnebraska\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3c4683915bfd42c3b88393ebe51b858a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Buckm00se @LEXXX_RUGER @ivanrabago_ the kikes want to charge you &#128175; dollaz for the complete version http://t.co/ZJDLwiAjEo\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bf680435faf74e8a9ce8bdf3a52926f8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Buster_ESPN Huh.....last 10 games..Tampa 8-2/Balt 7-3/Yanks 6-4...and they lost their best pitcher. Please explain your logic.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5160c92174d4424eb41d84d2f4191989"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CapitolEVAN That's where I saw the leprechaun. He told me to burn things.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7c5a672ffa9c4bb58696ecd8b218ee72"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Charlie4927 @StacyDmomof5 @RevkahJC @cantUCIMblonde @Kacado @PattiSM74 Hi Charlie\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9a37736716ea46d1890578bb96e60422"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CharlieDaniels Come on Charlie! \nOUR GOVERNMENT WAS JUST TRYING TO PROTECT THE DESERT TORTOISE! \nAtleast, that's what Barack Obama Says...\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d1543b2a793644d4a083f76fdc7d0c0a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Claudialena8 she wasn't saying she did, but yes me and Kannon have both been in the ghetto and know what it's like so u look dumb.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a6f20db537a949a4a3dbf5938f6c66c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ComplexMag I didn't know #whitetears were blue and yellow! #lessonoftheday\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bd1db0f8a645497ea153a8d139d45736"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ConanOBrien dat is one ugly animal but da monkey is adorable.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5dd0286793634820afe141a76484462c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DHSJournal I run CP in our community. Local cops treat ppl like trash for that. I hate it. Makes ppl think its a waste\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ac4fa7859976407ebb008e3514e80df7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DIRECTV why are you showing Yankees game in arizona when you promo Washington huskies game? I bet @dish would want my business\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1d2bd89185a349b89800046e1721e235"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DamianHuffaker you're from a trash can\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-23c28f3faa6d4152ac7e629f01453f88"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Danny_Cavanagh....available online soon? I didn't have enough to get it after my Anathema merch. It's a cracker, I need it. Can u.....\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c915287935ee4fa9a23a2447f06f2645"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Decimate_IX Can't even spell right. You have the brain of an ape\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-60f2c70f9c5e479d9ce188e9363017c9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DerekIsNormal RT @crappyfactsare McRib buns contain a chemical \"azodicarbonamide\" which is also used to make yoga mats &amp; soles of shoes\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-96a5a5ddab1b42139f4f72acdf722ec1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EakaErick I wouldn't share a wave with those trash cans\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-68d5d9fc45194ad9a8667a834b880d1b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ExurbanKevin birds of a feather flock together? @SubBeck\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-099cb11063254ab0b002da7f875f278e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Fabulousjonna_ I need some red green &amp; yellow pants &amp; helly shirts express\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bb54c0b9470b4ccda80836d0899b002f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FloralElephants THE WASP OF ANGRY LEGEND. BEAT IT INTO A SQUISHY PULP!!!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-94e75a403699433ea2e2a495c6f7f43d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @FunnyPicsDepot he's a greaser\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0cfa301db3584746acff3c7ec0d77ee4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Helgasfishtales omg! I don't even know where kimlau sq is...I would been like,\"look a bird!\" then ran for the hills! Lol\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cb4a98dcad5b4da2ad6afaa8b77660b4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Honeysuckle_Tav Well he canonically plays the troll equivalent of Pokemon... *throws the new Fairy type at him*\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-30ebd0f3e9f64f5da0b4618b83a16a66"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Hovaa_ what about yellow spots?\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-946781b86def4c0b9b4da95a4d7dc774"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @HuffingtonPost looks like any other little porch monkey to me!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c7b660fa90e340d199a9406ce49bc36b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @IAMQUEENLATIFAH @plated letz getup deep dish vocal mix Nagasaki Hiroshima yellow asian flu ^n emoto ill egg god? http://t.co/CH0XfVEKz9\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1014097539974df5b4cb1f790fb33daf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @IHateStevenSing\nI ain't to show bout dem colored diamonds you talk about on da radio. \nAny diamond you gets from a colored be stolen\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8a6e992f39144c99baa0c29ea500b4e3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @IMNOTMAKINGITUP Hey u just followed me not long ago. Gonna nip that in da bud. like ur bio tho. U know the white devils stole our our\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4e3046bf7c1841e29180b6d219191c9c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JennyTripleTit it's also a bird, a city, and a math theorem. I make no assumptions!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cda2d93de101403a81d7bff96ce35d68"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JjLoveUp tranny\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-78cb705adf864f54a4a847a26023249c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JuMosq @zachkruse2 Yep. *sobs*\n\nI got my hopes up when a couple of the national guys (including that Kiper/McShay mock) had him slipping.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1d828e0ab10f4e588738790038f38dc2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JudgmentalNYer @eveisapisces it always looks so nice! I was gonna buy this yellow one\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5cd2a68c77ea4e0aaafdc97a09a14462"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JunDishes get a can of WASP SPRAY. it shoots out 20 feet and cheaper than bear spay or mace, works just as good\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5b47bc566fa84808953cb5ea6ede47f9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @KenSuttling You remember,it used to be funny coloured paper.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3b9a65c16d9d4207b5f004ad1a284b6c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Krbfarms @Cornfrmr I was gone once, dog ran a coon up the transformer pole, she picked it off with one shot-and still had electricity!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8ea41f1251f0435885b74f8a2aa14ec9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @LILNTHEBASEDGOD her face ugly to me, &amp; her nudes were trash.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d47ec96c50cf4405822b0efde9955083"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @LandonVanBus Charlie Day?\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b6a38378d1f04a559896e55386da1fa3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @LifeAsKing I've only like about 3 pair..they're overpriced trash ..\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2abc31f935974d6cb943d825e408030e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @MAGNEDETH But seriously, it's the only reason I use a Mega whatsoever. Pure favoritism. Also those sweet fuzzy wings.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f03562f88ba643778cb52702b996e80f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @MSoltan18 @Jordan23Junkies it's supposed to be grey with speckled blue midsole and the soles are more yellow than icy so pass\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b2032528abb1459c80569ca4920535a6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @MarieJoseGMH @DWB666 @seahopke @zenterrorist86 tegenwoordig weet je ook al niet wat voor vlees je eet,voor je t weet is t zebra of een aap\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5f66168208d44a55be969b7332e89d34"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @McKinseey the grass is greener on the other side of the fence of course it's also a soggy septic field\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b2215120f31f4ad087fcd5c0354936a6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Midnight_Snacka @Nick_504_ u look like that fat kid on Charlie walker the that got stuck it the chocolate tube.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0db9aacf90ed4f51aec36f0151865b7e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @MillerCoors Thanks for the follow guys! I'm enjoying a cold yellow belly right now.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-10cb128ee6c149879ad14070f3931b8c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Mr2damngood4u AS IN&gt; #nature #biology&gt; Dogs don't eat each other as much as birds do. Not everything is as it seems in human terms.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fab33e88025b4bfab8c293a72a37f5a5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NYRKelsMads \nI be wishin you was local. I takes you to da Yankee game and spoil you\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a1f9f767012c4ac884b02527952c218d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NYRKelsMads \nYou never survive in da colored hood\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e6f0a8c3a37a4057972cbe0c5892c0a3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NYRKelsMads @popup82 Its Perfection. My brain crossed wires or something, I dont know why I came up with Concentration,maybe the ghetto one\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f87a773b0b8045afaa8de2c5f4a975ae"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Nashgrier purple monkey\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-36ad6a9136fa46188d6ef937c6058617"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NoHazardNoParty @PiBBzYx @piersmorgan @Jim_McLaren I can't wait for the day they take them be a boon for the entire nation\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-00c1a1063f1b421f816373b7bc67ba89"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NoMeatballs @mtaraban is so excited about his red velvet brownie.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2552e3f4b8d94b97bf7184b16c807059"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NoShtickZone Charlie Brown\nA Christmas Story\nRudolph, but only because of the island of misfit toys.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ae9e0eac69ac425cb73789eb26d040a9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NotEvanLarkin @bbcollins32 birds of a feather flock together y'all &#128037;&#128035;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-66eddf06233f43a7b97a37504bcb293f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Notsosweetpea SOO when we hanging out and makin brownies!!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d1f4a2df0df248fb8a6f2e0ed6222f4d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @OMFGITSOSCAR basic trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-adcef673124d41cdbe28c983d064356c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @PCMag Overpriced complete trash. Not even debatable.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-81d543b341fe47d79f62c28b9ecd2e0f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Paulyy2 nah some honkey lookin dude at chr\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1d0d8adc06fa4492a6c3fb6bfaf74c1d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Pepper_Redbone @Yankees @Mets I miss the pizza! The passion.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8fa8fcf028b94c9b93c1cda8d8fd961d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Pepper_Redbone @Yankees Just getting in! I hope so. Cause they stunk it up last night.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d9b9bb93c70f461682b3e58739473f20"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @RealGilbert &amp; the hunters anthem goes \"Al Goreing we will go, Hi ho the dairy O Al Goreing we will go\"\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0e7145de4d744221b0f5fe9d6a02fdd9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @RichardEngel ugh..and lemme guess they have yellow cake too? Heard this story before..\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8ffb998ebfd24baebcbad99793333c5a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @RonanFarrow Yeah we know about Anglo-American principles.#slavery #hate #racism\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-adf0c30966fa4197a06af09529fab466"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @RubyFakhoury @Nyquil_Dreams @guynamedjordan lets not forget the fact that everyone and their mother has yellow fever\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0bd9ecf07066481f9664293ecf550b7c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @RudyJay711 Asains had to take the Wu Tang Clan; the draft was suppose to be for half breed like me and @MikeTaylorShow #FallingInTheDraft\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-57e04f820c214cdabe61f2a978be126b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Scoob3y yeah and you're gonna play with retards who wanna do drugs all day but &#128056;&#9749;&#65039;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e02838fc601e46f091f205b188f83781"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @SteveWorks4You you havent evolved as a human being. Typical meathead redneck. I pity you. You dont know what freedom is about......\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-881284fd99be45c294251e653f1e6d39"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @SuSuSudafed\nI eat dat chicken out your love box baby. Lovin a white woman while eatin chicken. A colored mans dream\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-34f0c5f516f246c590158b5c491f34d6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TOBINSUPREME so trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8f3f32d9e23b44caafeed0eecb979c4a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TheShoeBible @Steamed_Greens Them hoes are clean!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7c258e3a07054ef3a54472b747051503"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Titan4Ever2488 how are Yankees games on the radio? Good announcers?\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3819994503bf4500a9656a84dd4db994"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ToddIrwin1 NFL... Forgetabout they got until February. It's the pennant race. Let's Go Yanks.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-488e1291e2c14386af433f42c155c30e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TreshaRenee I didn't make to any games last season. Just looked it up. Astros open up with the Yankees 1st of April\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f81fabc540eb4b29bc35ad2a703181ce"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TylerCarboner hey I'll leave Abbey too! Oh if I get a job on the slope I might move back! Cause id lose out on lots of money buying tickets\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0e7966dd0b5648f5a6f2374f50b08458"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @VoiceofaPatriot Now now&#8230;that bird is one of God's creatures :-)\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d7405565c5064744b5e9f5a9c86c1e69"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @WORSTRAPLYRlCS Everything Jay-Z writes is trash.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-143b1f76915d4a6db4a1f6365addf4d7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Wagz This cold we have going around our little hick town had about everyone I know locked in their houses for better than a week. Stay well\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9e3471fdf62c49af8a1755979c4d642f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @WarriorRN61 @mrgeology you inferred he tried to ho to Nam. He did not. He dodged it. He is no great leader.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e22fc2e1f2e64311a209baff0af4946f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @WendyDavisTexas your 30 second add just ruined it. A new low picking on a cripple\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e20bc4ed67de4a70b544e71b0036c8f0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @WilliamFBrasky @TheRandomBoner i feel the warm fuzzies.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4ff3a71070a4052aad67c1cff394668"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Yankees ugh\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7e5ce0879bd4401396f49d0220b55248"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Yaremisxo whatever Neymar trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bd1bb3c602be4401bda16c6d134a01ed"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @YessMe_SHAY I want my poms back lmfao\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8f7cc55b74bf428d8491c15ae574a5ef"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @YesseSmith I was born yellow\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0b890ddde06e4b15a2b0f167bd973482"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @YungCofGOA @12YearsAHaitian need to start mcbob because Williams only shoot let him play with bird\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-79e9964c547241a79f885251e5ee4922"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ZP3_ the little girl Tom Sawyer gets trapped in the cave along with Injun Joe and almost die. injun Joe dies and they find his treasure\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-07e7f97cd4f5433ea9ce3e9b14510a3b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @_JaelynBeeee somebody looks like the die on the first tubes on flappy bird lol!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2bfd8ce013be4ed3bdded4367581ee80"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @basedgvbe trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1b42586f942545d18c9457200115dbe6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @blowme you mean trash.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a7741a90215941c18686b7c5f971922c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @boxingscene @RPopBox @BronzeBomber @boxing this Charlie Z really does need mental help check this out http://t.co/CkBS6WcZu1\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6c1bec45b4804bcf878e1be11917a8f9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @charloosss @keepitplur @nicoleariel_ I'll chug my tall can . but homegirl won't approve lol\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1f28aa31cd8a49dda0a9005d6620c3c0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @chucktodd @meetthepress he was walking &amp; 3 little birds pitch by his doorstep. Singing sweet songs of melodies pure &amp; true. Saying ...\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f43b9c00ced2497992e6a36b8e7176fa"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @claraoswined cute, but I love her yellow raincoat the most, the contrast with that&amp;her hair looks so cute! :P I love her face in your icon!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-32c5c6074d264618bdaf9ac241118c8b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @dminion25 it's kinda screwed up that they were my guinea pigs but i was only experimenting on taste instead i got more interesting results.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9f48e80a576842329b0b6dc1af546b4c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @dolphrudager Nope, never taken neighbors actual stuff. Just wifi. Acct info in their trash cans at 3am. Super easy.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-be7134e2393c4990968228d28a1395d9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @dustincmc @KevinKillsThngs ghetto=black\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4a302b7be8e14cfe99670dcc635fd598"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @eanahS__ nips\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-58b9b4b378734355b0dd03e66f7cee88"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @elise_palmer im assuming mickey bubbles\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2b95b447da574612b390b57794161c0c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @erinscafe We hate them more than the Cowboys and Yankees.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1c7a0631ed434fc081d2f697503d8431"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @fairflattaxnow @Morning_Joe @JoeNBC hey #teabagger the law made it a FELONY to keep and collect the records. Get your facts straight\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4d7e335b09b49da89a4fb77cd8df89e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @goldnsilvercoin the worst terrorists are republican teabaggers...\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dea0f5d4c65640f0a3cd5e4c1633ecf8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @greekkid31 @TaraSetmayer @TheWillDunne yes true reagan was the first..ike wouldnt. While president and he was supreme allied commander.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a20f637120804e2fafa990bceb0bb83f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @grinand http://www.youtube.com/watch?v=LRtKAQJUc3g Stay safe out there, Charlie.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e6e9191766484128a5be9e1933256672"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @icpchad @UnseeingEyes ......monkey look, just like you!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-28b509e82b8f4fe1b2150b490aad622c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ilovemytroops @SenatorTimScott I see. So you feel betrayed, your racism comes out. Shocked you didn't call him Uncle Tom you bitter loser\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-595cfb3e6ea746aa80dba240a4660494"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @imgooby you're not funny trash\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e2020667842547de86ae918fa3790a6f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @iowahawkblog I also recommend 6pack of shiner Bock and 12 hours of brisket duty at \"the pit\" feeding oak coals &#128521;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b460caa369a44a03bbe2e44c044b0707"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @jazqui That's why I'm partially glad that I have to say \"Hi ho, Kermit the Frog here\" to slip into my Kermit voice well.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-eded115d33cf4499888e45de51b412d2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @jessespector bird hats &gt; every other hat\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9eb8d9f09acd4080bba80d2254a9b8e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @jesslaw Ha! I'm actually going to see a Yankee game, as weird as it sounds. My uncle's house in NJ is an hour away.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-528ccd6b9b6b45818148df6273c823fe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @josephljenkins Have heard some hillbilly grumblings that bugs worse in recent years because of MIC shutdown.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-277faf6717da4bd186a6e1bdb9564aa9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @joshbuddy blue cheese crackers intrigues and repulses me at the same time.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-04664469683f493f9be48e958100aab1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @k_tempsss lol then they have one more flavor I think it's yellow idk.. But yea there bomb.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-693349672de44b7db2dc2b61156a6e00"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @kilmeade @foxandfriends don't you mean crowd not crows\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-506e5273094f475d95817085de966c07"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @lcl03 the slopes aren't for us bro Hahaha\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3e2ba9dfdbe046c1b39a46d417b4fc98"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mdsaab1 lmaoo abo crusty hands\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0f340363708941d8bc453cf7334907f4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @megalexatron trash about us and your from another conference- you can say goodbye\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-795eb84163be46e2892f9b4a6131064a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mfsasso or jim crow laws segregation lynching laws... anti womans suffrage laws... amazing how everyone doesnt want to bring that up\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d18e3b2ed97f4dd6b7f634fe58788166"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mightyfar they need to stop picking up UFCs trash though and build up there own fighters more.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7acbefa4e1424e059bcd6dd8dbe17699"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @nytimes seems if they dont come up with it, its trash, nobody outside hollywood knows what ppl will pay to see..ha! Guess those in hw dont\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-40ab95592c8b4f90b29a8a2702b424ee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @oliviagobert lmao yes I kind of like it it's not that ghetto yet &amp; they are and then he says \"u feel me\" &#128525;&#128525;&#128557;&#128166;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2baef601e12f4d14b67bbb781fbdb591"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @rbigwood @GameOfArmsAMC of course! Win or lose you always had the most exciting matches. Spilt blood and all and you aren't a trash talker!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-02608f23069e41bd9c76a935292d736d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @rbigwood when Hollywood Underwood took his shirt off and started screaming in the dark hah like a horror movie with the nips!\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-43d9702487a94356926a2fc1d54b7b91"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @rochaaxx yellow\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-41a628c5857b4fc4a1b34cd163093e3d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @savannahx___ negative slopes aka a chart of my grades in math\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3b4b25cca77f4bbeaa05aee3959add12"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @schola_gomes oh I'll make you some brownies alright;)))\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bb374837adff459baef9845fa6ad40cf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @sekhmet1975 Cactus is a yellow lab chow mix too! Hershey was everybody's \"active\" buddy. Cactus is one special pup. She's an Angel.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f61d146371c948f882de7d6f3c3e1a93"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @selina_dabbagh the song? About pollo hermanos and Heisenberg?\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5658d97605f04a9e97b06b451a1cd724"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @simons_lives keep in shape for the ski slopes\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-88538a74561b4642836be279a5577fb2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @slayerific13 @brenda_skelton @daisymcgarr Don't get me wrong G.. I'd hunt birds but that's a lot of work &amp;.. well I just ain't that hungry\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7767ab6713504403b2dda6d58f644a42"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @slayerific13 @daisymcgarr Like I said.. I might have to check but I'm just not sure bird shot counts as getting shot.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-30cceb037db14e86b5824eafbcafea9f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @syd_renae okay cool then I'm not the only one &#128520; mine is black and fuzzy and it has PINK on the back in all sparkles &#128081; hallelujah\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-69ef4054bed54f77b152d44c6d3a7f71"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @tarbetto. Find one where be beat Nathan Moons head into the ice too. Ol Andrew is straight trash as far as hockey.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d6719bb35a894205acefc1455d861fcb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @theejustinholt trash of the cowboys beat the redskins twice last year &#128517;\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3ba142e323884c278b913a58e95037cd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @therealjuicyj @ProjectPatHcp yea ho\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4346d6ff82834c99858d02df8a9deaaf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @truckpartstores Intended to get pics but didn't have time.. Must be a mud race/event here this weekend.. Is like a redneck convoy out there\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-81d63f9d84174893b5f5b19b85b3f89b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @tyler_wilde As in, \"throw birds with long pointy beaks at you\"?\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-98ea207a12034999b3b470e65f5cae03"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @uk3ba Just learn d dance nuh cuz u know after carnival we like to pick up months old yardie ting LOL\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6eace9d4b18d4f90b2a812735b62892a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @washingtonpost The people who work at those companies tend to be trash.\nLabel: Neither\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fb2e2272b8bb484e80e132fb777b4d58"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @youngscooter ghetto gold needa be the first music vid!\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-83536a9a12f943f5b8391ee9b3c8f610"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: A MESSAGE FOR ALL OF HUMANITY ~ Charlie Chaplin @mobengalfan @DISL_Automatic @mikehoho http://t.co/itDIRcNt7y\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-72fc1d6f8b5b4ba58de92ce33bb92601"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: A Yankee win makes any day better.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-750c40ce14cc4108a34929c662c68414"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: A squad of dyke cholas fear nobody. They worse than the cartel\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e0f7215a5f8b4656ab5d79547eb71523"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: AND #NorthKorea called #Barack a monkey. LOL! \nRT! \n*If the shoe fits! 'Cause it sure looks like he married one! \nhttp://t.co/F0pGDalfaA&#8221;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a28d451540994227b015679664ec05c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Absolutely absurd that they even had to think about that call. #joke #zebras\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-096fc3ed6bd44775b31571e21baa9194"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: According to my brothers iPod, its December 1969. If so, I predict that Mickey Mantle of the NY Yankees will announce his retirement March 1\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-39905fa3f67b4589ac3c832da26f16ee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Alarm set, early bird n all that. Night all xx\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a3e2213db87641ea8644d56ac02dff2f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: All I want is cheesy bread and brownies &#128523;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-261d68c24cc84ac284b6c9332cff7e29"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: All I wants is to represent da life o da colored man.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d287e3ebc7a34479a7973fb1e4b669d5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: All my so whitey bois gone ride\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-31c1a1ab6fb24a329d597bf4ccfcb315"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: All these afternoon groups are trash besides the Bubba, Keegs and Furyk group #TheMemorialTournament\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e5200b41c1d04a498dc0018184bd20e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: All trash RT @nicekicks: Now that's a lot of stolen shoes...\n\nhttps://t.co/q0wswXE7Fw\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f05f371d6d3f4e86a3cda08abc47219f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Always thought golden Oreos were the same as original Oreos but oh my god I just climaxed\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b9d1e1774427479aa55055c263870cf0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: American culture is stuck to the side of the toilet. Graffiti writers in Europe can create better art without any lowlife trash sex jokes.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1c12683a798a42aeb4d787563260fe3b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: And it's gotta be some ghetto fool :/\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2b12e4ebe7d349d6943fb45f9914c605"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Apparently I got chunky for my bday. Worse bday present ever. Lol. \n#diettime\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1e322617f0664fff84fcf684e0a98300"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Apparently im a honky. Pfft. Like that's a bad thing.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-346b5d6413964ce7876607de6dae6728"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: At a point where I've got to make a tough life decision. Ice black translucent sole or solid black sole on my KD VI's. Blk or orange airbag\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4424e8f9bbfd4e41b6d00181f0d899da"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: At work but wish I was floating in my 15 ft., on sale at Walmart, redneck pool that my husband probably hasn't cleaned since last weekend.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-209cd5a764254c3e88da80106c3c40a2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Ayo I jus had a mini heart attack behind the wheel..north Philly n fire crackers don't mix&#128553;&#128553;&#128514;&#128514; I&#8230; http://t.co/o5v2E4LFtm\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bfc77216cbfb4f2f9367c42e3b88af52"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Baseball isn't the same without the Yankees in the playoffs &amp; basketball isn't the same without the Lakers in em.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-626cfaefba5546f88239ec5d32c2961a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Baseball......... w/ @voxpulchra for her birthday for some reason? Lol (@ Yankee Stadium) on #Yelp http://t.co/9hIFDcZWQY\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cff827220c074136bb96b17a7898e8c6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Beautiful Fairy Elegant Dress http://t.co/ouxWbYTUt6\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b29f286d26d04bd68afc435a016c3f77"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Been Huntin hard and finally nailed her. Best wedding koozie I've ever seen. #redneck http://t.co/D6SBSYaNN2\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-23ef9587d97d4a9bb3d1a36d22846fee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Breakfast fried chicken jerk chicken Tater tots white rice nd press yellow rice nd beans Mac nd cheese http://t.co/Usz8gJnZl0\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a23102779cd04e0aa7af4a1ec9c80024"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Burritos are trash\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f4fb6fdbaaa04fb3872228f89399070e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Can we bomb the selfie-monkey out of my timeline?\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-657379b7464a4dedb955e6c3f82d2af5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Can't tell if Mexico has been impressive or if Brazil has just been trash today\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f60ad34a0182422e906fde5c281a1d89"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Cardinals score 1st. They lead 1-0 in the top 3rd with birds on base. #NLCS #SFvsSTL\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-50873c8aafe44d6d93a9d07d88f4ae11"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Chaber Books: BRAGADAYJAH 315 http://t.co/qTr6lzCsdj: Further restrictions on eating certain insects and birds\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-383e28e4d3244fdeb1de2d7df82a28c6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Baltimore look good for 45 &#128563;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-71e975b229e34035be77a4de17857f41"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Crist wins Democratic primary in Florida governor's race, AP projects http://t.co/Gy9uRBtQ1q via @WSJ\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9d8a3922da634060813f22b429ad44c9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Jacobs got confused about the ice bucket challenge and instead dumped a bucket of diamonds on his head.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-14977e5052d4437697f522ab6cd4576c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Kimball: \"I had nowhere to go\" http://t.co/x5gyZ46koT #IndyCar #MAVTV500\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aa06821f8e444114ba1888eda9feb484"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Parr! Mountain top music Fest http://t.co/bG3UWdPZnn\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6da68c7277b044acae4c1ad436c6956d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Rangel: Some Republicans 'Believe That Slavery Isn't Over' | Truth Revolt: http://t.co/NpbdPk0Cqz \nBam, Race Card Vote Democrats out\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2555931a18284851a33fcfc4ccf14f44"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Sheen never disappoints.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b94942f332c348d6ba8d03e59c6cabea"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Charlie Sheen's Video Message to President Obama http://t.co/kCRWTbCqZd\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bda9ecf6cf254a03ac2bccf9881c2fba"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Cheeky thoughts as the rooster crows.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b66ac77164c14f5b960ddc2b58adda09"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Cheers young lady RT @shik702 @BmoreHumble foreverrrr younnnnng *grabs flask and chugs*\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8fe2dd7ef0fe47fd9bc4bd46e4171f2e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: City highway skyscrapers building lights yellow blue http://t.co/kOC9uYBFqV\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6c0331c968f346669c3c7d29b8a732a0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Clearly I'm afraid of birds http://t.co/qA4O9Dr4vp\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f37abdeb21854de3b28a23d17890509f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Craving brownies &#128553;&#128553;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4076ef79fc384060be021ffe0eafd528"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Dafuq is floppy bird ?\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f47b44423ec143f0a100fd18cfd5c189"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Damn I think your redskins lost @KxRxSxB\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cfdcdf61719b4647ab1927bc12215eec"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Designer belt with a trash fit is still trash..\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3c6fed186adb45aca2cc49aebb02417a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Despite the zebra red rocket special, portland beats those jersey shore floppers.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-72175542f8d9456d95cde8e16c46ac32"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Didn't get to hit the slopes today, but snowboarding lessons first thing in the morning! #excited\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d4371ec603f048339d4cadeb09631335"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Ding ding ding &#128514;&#128514; &#171;@saudiasade Sagittarius - trash.&#187;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ee9fbf059d48472aa868d49216f89bbe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Dis nicca lame\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bffec525277b413faa551bbe5f2fbd41"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Do you have a nickname? What is it? &#8212; Tator, Tator tot, Tightey whitey, whitey Jr, Taylor whitey pants, agent ti... http://t.co/xLBhDJfBF4\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-25a53a97068f40168d198fb5c5c2a1c3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Do you know where I grew up Skippy? @mouzone_brother @psherm07 @EchoesErrant @gigg423 @jstines3\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5145b04b1d4c486382535bc416952da3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Dominoes, moonlit lake, Velvet Underground, honey whiskey = white trash heaven. I accept your ridicule...but just tonight.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7e149cbed95347c483276ac59a700a6d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Doug Martin trash\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-404059c7938847808309279ea53938de"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Dreamed I was eating a brownie and started salivating and woke up almost coughing myself to death. Today is a struggle.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a911d59cde934b629c1491d94e6c8e93"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Drinking folie a deux wine and playing fall out bird hahaha\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4f401ef626144d3e9f4b294ef5b7b45b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Early bird catches the worm &#128074;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d4365b52b1af4a419d3e45eb68556706"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Early worm gets the bird #Bslfe #GoodMorning http://t.co/dfE8MF2Q28\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1cea31c1f1034fb4b906eabc345138c5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Eating brownies and then going to the gym... Idk\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d0022495b1874c84bb91588b6c00de96"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Embrace it. Love it. Flip this group of mine runoff water colored turds off and make a pick.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c4f313498db245eca2572646625f4645"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Enjoying the eccentricity of @RayEvernham's AmeriCarna. Charlie Daniels appearances in two of the three episodes I have watched.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-de70e1a0db0b4852958cb260c354f88a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Even liberals are humiliated by Charlie Rangel&#8217;s claim the GOP backs slavery - Hot Air http://t.co/I4QawESnud\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-279d78af8229496c92516bdf83b94794"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Everywhere you look, all you see is hillbilly deluxe... Big timin in a small town. #smalltownproblems #neversaiditwasabadthing #brooksndunn\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ac433a8d9e444eab9c56572b21f18502"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Except I used to be super tan and now I'm yellow/pale lol...\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3718e1e3e28444f4908a695b0f96babe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Finished Yankeeography and still hate the Arizona D'backs for winning in 2001, Yankees shoulda had that\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3943bdbfad6d4be59bb7af03c8dba209"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Flappy bird is gonna be the death of me\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e2b91194bc6d474792434f6f49ce48ef"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Flipping back and forth between #Yankees playoff baseball and the Trainwreck Formerly Known as the New York Jets\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-43e10aed77e74201a827a297e55065fc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Former TOWIE star Charlie King comes out http://t.co/yU3XKXbCyt @YouTube\n\nInspiring. Congrats @CharlieKing85 and welcome to the family :)\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6cc8856c699542ca8cb1172c5f806f42"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Foto: imapython: bieg: albino sea turtle i think u mean soul of the ocean http://t.co/vYmiTsNCEn\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4d46724df2774ecf965660909a612f38"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Foto: mimiblargh: ok pls consider this: kingdom birbs (can u guess who is who and what birds they are???... http://t.co/NWjUmmEWNJ\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4c82158a06614afd9e6997a4d4ae7b0a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Friend or foe nicca .. State ya biz\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b1db3d7ff72a41c4804edfe69bac65db"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: From Jihadi streams: Rutba, Anbar Province, #Iraq http://t.co/K6j37J2sgL\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-07e093e8d46649a9988719703924a765"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: From the ESPN Yankees game recap: \"the sellout crowd braved 61-degree temperatures.\" LOL What??? That's not weather you struggle through.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a32a26c17c794896becedc8fa25d0609"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: GA Charlie @Charlie4927 @StacyDmomof5 @RevkahJC @PattiSM74 @cantUCIMblonde @Kacado\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9f68d393c2c541da8c024d23cf0095fd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Gary's girl was a tranny. RT @Em_99car: I wonder what would have become of @rickspringfield if he'd written 'Gary's Girl'.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-73542ae92a1f40b48999b476999d8525"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Get here! MT @NevadaPR: #Sierra #skiers, @VirginiaCity offers a fun break from the slopes. Sweet #deal: http://t.co/otJ5Uxqbna\n#TravelNevada\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-085df52fe0b449949a4990d1b8c8c993"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: God damn zebras every Virginia possession the whistle blows geeze.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-632b851fdc454c369193372924f607ee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Good day, honkies. ...I said GOOD DAY! ...honkies.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-453afe52c755477bb459ae4a6129aa2f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Good morning Twitter. Make today a positive one. If you can't do that, beat up as many meanie-faces as possible. Also, I hate flappy bird.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-edc7a425a6d241bfae865dfa122f50df"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Good pick birds\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d4f6b42310b848df9bac2c8ebf17e1b9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Good! She's a ghetto thug! &#8220;@grasswire: \"So FPD just arrested @SenNasheed for being in the street. #Ferguson&#8221; https://t.co/puIwlUnBIz&#8221;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8a1fd7aac008429a9cabf85099307b3f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Grandma's Homemade Potato Soup - An old fashioned, simple, chunky potato soup like Grandma made, wit http://t.co/ZV8ZsmHNlm\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5b923c875053476d9bdfdf217d1dfdf1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Great lead battle and then Ricky hits Danica for a yellow. Oh boy. #NASCAR\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-56fd0ae2c54a48208d67305deff8c7ea"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Haha, Yankees fans are bent out of shape about the Hu27le graphic\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-28b286a4ae8044b7a928bb8bf09bc119"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Hand me a brew and I'll chug it\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7100d3ba02734c4db9b2777054b92b24"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Have you ever popped champagne on a plane, while gettin some brain \nWhipped it out, she said \"I never seen Snakes on a Plane\"\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5e329d3bbac14bb5967efccb3b3d5253"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: He may be the President but that doesn't necessarily mean he's in the sole position of power in regard to making such decisions.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-132a770701a540d99346e520e842d570"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Hello American people, my name is Eric Cantor and I am a lying piece of bird poo http://t.co/qJyuw4ox0O\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6d39ea0e765748c9b23aa16fc3a62ecb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Hey @DreamShakeSBN fans. If anyone is wondering what the yellow tab on the back of the collar for - it's for teams that have won a champion\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2990637ce6cc4ee3940e0046b0107a39"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Highhhhh watching dawn of planet of the apes #StonerNation #LifeComplete\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fbfbd6cc6bad461888331367c4f2a9c3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Horny called me asking her to buy her a drink this morning and then this jiggaboo walks in WITH A SONIC DRINK IN HER HAND #DONE\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bf95c880352744cab4ccdbb7596069d0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: How long are they going to let the fools in #Ferguson continue? Stop pussy footin' &amp; disperse them by WHATEVER means necessary!\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a8972f74de2c4876a58b7d1ec552c53c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: How the hell was David Murphy's hit not a home run?! Clearly over the yellow line. @MLB another umpire mess up.... Smh\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-76cd2cea049542c397f1744b2211bf45"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I also had a dream that I went to the FOB show and FOB was rude to me and @audizzle was getting badly hit on by some creep\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7c7829da9c5049b08587829c02c5f3df"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I could go for a brownie right now\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-424134f10bc04886b58d29c651736f4f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I find it amusing that Senator @tedcruz is an anchor baby. #LMAO\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2ccb26c6d5894e3a889a598de66822c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I get a 50 pound bag of dawg for the mutts\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-924f66108f4147c1a49d078105733546"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I hope the trash I talk abt @CNN's poor product doesn't hurt my chances of getting hired as a legal correspondent. I was jk CNN.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-22d554e70e964b82b223bddc7a05fd41"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I just want some Oreos &amp; milk honestly. Just stop by the store &amp; pick up some on your way back lol\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9ce4afc92b984d57abfef5771ac7f512"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I just whipped up these #homemade #pickled #eggs while home being a cripple... Made with #garlic&#8230; http://t.co/0xKFnW3luF\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1c5ba4f83f584a6ab979047b504e329b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I like to mock Apple, but I'm legitimately interested to see what their wearable looks like.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3c8264e8aa7842e2b3806cf2763d5349"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I love floating monkey heads as much as the next person but Active Surplus' website is just redonkulus. http://www.activesurplus.com/\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-63e92645bc644db58dd656324e933760"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I love how we can marry and still be the same queer, messy, funny, fabulous, dramatic community we've always been. Why I love us.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b9d7fc5780f347018d5663360781d12c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I love jigg jigg&#128514;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2840d37667ef44b099f4ea29d34a312a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I love wearing fuzzy socks to work\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e5239ad15c204fdab8730553b42d414c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I luv watching gas monkey, they be havin some classics on there.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f46aab78fd8b46d3b9c642bb6b101059"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I may or may not have at least 4 FOB related tattoos already planned out.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6249da108a9d455fb2024219be91034a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I mean...If you blow a foul there, it has to be a yellow in that situation no?\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ddb17477549f4ba9af47340b4893a022"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I nicknamed Lux Coach K because without him we would of never heard of Duke lol Charlie\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7354aa9c33774ea6ab02b2a6294c1eb5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I said middle school days as in the ghetto way people... &#8212; and what I am nor here to impress you what are you go... http://t.co/qYpvIKcRfY\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c36395d764a445afb15e3cf6c9744d3a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I should start wearing beanies more\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9fc7bc45f35e4593aee11e5dc91c4e97"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I uploaded a @YouTube video http://t.co/8rLE3JNr GOProud Makes Money Out of Twinkie Crisis in Free Market Spirit\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5d9fa5cc3ed44249a2f2641074f78996"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I was accused of never taking a full front face shot, so here is one. No slant or angle or nothing. :) http://t.co/yCuVyPV1n0\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9da7022a8dc04c4ba0fc0a5225eef7d5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I would describe @whatupag's work as blaxican.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-71ca78989f614623a68ac40315f14fae"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'll give you a baby zebra girl.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3de2cc787bfd4f2c951b88a5bd224683"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm a sucker for colored eyes &#128532;&#128532;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7f64bf06b7a74d7aa9797b503e45c783"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm hooked on monkey phonics.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7eccccdba99748b484467eeeb9b0b4c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm jus a trill nicca mane\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d765efa382ec440bb463e0f85c85c845"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm not really a phone kinda guy.. I actually hate talking on the phone &amp; texting kinda trash to me also.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-066a892be7114d76b36dc7d562e1fef7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm okay with rasor talking trash\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d2261340af354779ac8a2722207c414c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I've pretty much eaten an entire box of my nephew's cheese nips. I only feel bad a little.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2da3288c08a946d5853a94b27be30b4e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I, for one, welcome our new Eastern Panhandle overlords, and hope they do a better job than the yokels who got us here in the first place.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d7f42cb8996b4aadb05e67dd6185503a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: If Ashton is trash then what does that make me! Come on guys someone like Ashton can't be trash, he makes too many people smile!!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4a4d7233b15e4adfbfac18784622eb61"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: If I ever committ a crime, you can cite LVL as being the sole influence.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3f5cff619fb54bc2bdefdc38a06346a2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: If the @Yankees get Dempster, they just look like they're getting older. #smh Bring some youth!!! #mlb\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-905f04e4551f4aea80db4ae4a835e492"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: If you didn't have tattoos as a diversion for your bird chest and malnourished body sir... your instagram would be trash\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e0b50fc5389547e7adebc6176ffa0517"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Ima trash @ForeverMEM85 in fantasy\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-820bfa74be3543119997ab8b5235f3cd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Indiana lost to Bowling Green. Big Ten continues to be trash.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a342a3f55e894c1cb9671ff14dc235da"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Is Hillary the &#8216;dodo bird&#8217; candidate? http://t.co/3FyoSi28Jm via @worldnetdaily\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3f153a173e8a44eaaef3a952fe19efda"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Jihadi pop music debates: &#8220;yo, bro, did you hear the latest Abu Yasser hit?&#8221;, &#8220;No bro, I&#8217;m totally an Abu Hajar fan&#8221; #UnderGroundCulture\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cba61d20518e4b68969ff60a0b464a98"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Jihadi streams: British #ISIS fighter identified as Abu Abdurahman Al Britani killed in action. http://t.co/Ksowd8rRCk\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d121dfb3e8a24c46b2453e8e48bf0c02"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Jihadis betting on public protests in Britain to force UK gov out of the anti-ISIS coalition http://t.co/5gJSmrfzWJ\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-853333e67fc34b0b8b9618defbacf6e0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Jihadis identify a man from #Indonesia as the one who carried a massive suicide bombing on Speicher camp #Iraq http://t.co/h1hjHYnbY2\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1309064b56e74ea9bef427fc607b9d37"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Johnny Manziel just flipped somebody the bird...\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d0d239aaa906466aba433c467f78729a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Josef just pitted. Slight possibility he can make it the remaining 67 laps but I highly doubt it. Will need yellow. #IndyFest\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-128517a993b54114bf010753657df5fe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Just as trash as the others. Fixed none of my issues. RT @SheSeauxSaditty: Naw. RT @GlitteryGlossy: Anyone download ios 8.0.2 yet?\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4003f092ea524aed8c1316cb4d9723ab"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Just cleaned my fingernails with a knife. #hillbilly @shanemoses625\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f51ae0a61f254d99b92c9bb49b3e9268"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: KaasPiet,bloemPiet.?lol men weet van gekkigheid niet meer hoe ze simpele oplossing tegen racisme moet maken.Zolang maar blanke beslissing is\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cc86b0e2598f42449b56c357443d0dcc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Kanyeeeeeee is just a yard ape acting idiot!just stupid...\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-21b8cb39cb9646949f023ed9db418572"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Killing it at home! &#127936; #NBA #pacers #indiana #paulgeorge #hoosiers #basketball #hashtag #winning http://t.co/2qwEPnUx\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2edef7425f0c4fdab990a49ec85de79b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: LA M&#193;QUINA\n\nUna vez en Jap&#243;n 5 japoneses crearon una m&#225;quina que atrapaba ladrones. Primero la m&#225;quina la... http://t.co/khzl8PfGCT\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e320c054fb704fdebaf7969c205c3644"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: LMAO Joe was calling whitehouse offering advice. Yeah the President cares what a disgraced FORMER redneck House guy from fl says #morningjoe\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e947320b8f7b4b318051fa9b5dd2c17f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Lakers fans will feel the pain the Yankees fans are feeling today at the end of basketball season.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-832b1895e0794a5b8081e45288b39bd7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Lauren &amp; I ate candy we found on the floor during class we are trash\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9c7d64963fed42378f2ccbd2fd4036de"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Lethal bird flu cocktail sent out of lab accidentally went unreported &#8211; CDC http://t.co/MO2m6q3xTt\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ea3ee65011d943e18b7fe39c076e85d9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Lets finish strong Yankees\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5190fd99afbe4a10b89b725ed2263856"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Lil Kim really made herself trash smh &#128148;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-af2660e5770049beafde851e055d1889"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Literally in the middle of the ghetto and these people look scary\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-eb771061345b448d8be4fcc183b23c9c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Log off nigger RT @PoloKingBC: #relationshipgoals http://t.co/Ge9koImYGj\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f7526c42c6584002a5b91aaad7ada571"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Lol.. shut up! RT @ABrown252: @VonshayeB lmao early bird gets the worm\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bda5823cf230453cb8a5330c6e6fb709"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Looking back I liked colored better. Let's go back to that\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1622b11ab6ff4356b74b31a33ccdd460"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Madea and this old hillbilly are hilarious together.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2a228af01b4042e3a0f65af06a824478"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Majority of it is trash anyway.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ff9319bfab104e8dad9ce7ebbcb6e143"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Making brownies\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-59052b8d741a4ba6bc5be1ae9d9c4554"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Meatloaf cream potatoes deer steak and gravy pinto beans and cornbread pear cobbler n bread pudding @ FHC\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c5e7a475f33746fea29060ed9efdcacf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Mi caldito de pollo estuvo incredible!! Ahora a snuggle con mi snuggie y mi hubby... Queeee riiikkooo...\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-51dcbaf7a0334cd7a729631634115c67"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Money hungry hoes they can never get a crumb\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-64bcde26a30a4a0cb9e5cf94c2fffbed"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Muzzled pit bull with throat slit found on side of road in PA http://t.co/fis8QNvlXu via @examinercom HIDEOUS ABUSE THROAT SLIT LEFT TO DIE\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-502f4e3d993545848b6b3410d9d18592"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My Hawaiian thought of the day, No Aloha for muzzie pigs, EVER!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e88cdf7c685e4a17904b3156330edaae"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My Oriental Gallery Blog: The New Land of Free Enterprise http://t,co/pz55t90Z\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f09f0bae20b440ca86d9e7954cef2c31"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My Twitter app is poo trash.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7e9192e6252e467bac1be9602c254e59"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My auto correct makes me sound so FOB\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b4f2cb1c87c24bf79a1522726f656e9b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My favorite DC restaurant is Charlie Palmers. @Sweet_Me_Lissa @sassylibrarian1 @taotao_salupa @tingtingbabyyyy\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b5ff8791f94a4971b1a2b8535cff6e35"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My flow retarded &#128526;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b0ec4ebfb4c94329b451e09f85fc644a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My hair is trash. I need to put a masque on it.. But that takes so much energy that I don't have.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5a052abf2fd24244a00c3f7e345896b2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My manager @7FLyy new brand | PRE - ORDER NOW w/\n (404) 394-1570&#160;&#160;--&gt; @sevenflyy \"Red Lust\" &amp; \"Cherry White\" beanies http://t.co/LxjMBCTgJj\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a620654f38eb41b59ad28f347c0f5e56"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My nephew albino albinos have astigmatisms eye spasms partial blindness its not their faults\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4bb8debd961249cc9d7d83d939c9ff81"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My teacher always says \"Has a man ever abused his wife while using marijuana? Not unless she hides the Oreo cookies then she deserves it.\"\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-84d50b96163046d681096b89d83de884"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: NFC South is trash juice\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-31e3820ebda74c74bba360d1264f53db"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Nah Electric Fairy Tale seems cool but I'd rather buy some drugs with that money\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c5331e9d749a464db28995e566402218"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Never seen a tinted yellow tongue before. \n\nShe just ate a lemon jolly rancher?\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b2b4fa6eab6a45c090a617a97b67478f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: New show announced in Lutsen, MN at Papa Charlies on January 29, 2011 http://artistdata.com/a/33ck\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a1ce0d9ba14744ff88e43ced16b7af43"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Next time you leave magic trash in my jacket try not to have your initials written on them. @whatupag http://t.co/tFV1cZtr\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-be19474f29024711b759d1776e7e7cc9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: No one has even eaten a Twinkie in, like, decades.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d3ed2d4dc6344d4599a00ce54cfcb733"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Nobody gives me a trophy cause I'm old and colored #FavStarTweets&#160;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-59a8a1bc0bb5403c8bed2dc1499b12a0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Och hoe wonderbaarlijk dat Jan het alweer met n Marokkaanse BNer aan de stok heeft. Na Fatima, Lamyea, Tofik, nu ook Abdelka te min gevonden\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2169ae01b3254d58a4cfcb86d09bc717"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Offensive line is trash\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-412b375214904482a91e9ce7224ef89b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Omg! The cutest little tinker bell ever &#10084;&#65039; http://t.co/vDajfVlwyP http://t.co/YpTz9O4SIS\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d15d19385abc4bcf838cf9a6ab6be305"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: One of the world's most prominent Jihadi forums just got shut down &#8594; http://t.co/9vafK90DOU\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4bab01162cfb436c8c27423e8d06acf4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Only Americans are degenerate enough to 'honor' their war dead by having a barbecue. Anyone who 'grills out' for Memorial Day is trash.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-263cb26e7bfa4085a61a951cdd214a76"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Only Blood Can Satisfy The Hungry Flames Of R&#8217;hollor, Charlie Brown\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6a0030563188401db7792a80bfd850e8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Or their music is trash\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ac1bdc6c15994cf185e55bcaed52a8c0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Oreos and coffee for brunch. I do what I want!\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9d44fdc6e5f248d8a4226ce1b35f1dc3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Our female guinea pig is pregnant &#127882;&#127881;&#127873;&#128525;&#128525;&#128525;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7ea64c908c0e4197a451e20d5c802b3a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Out of day care, I'm taking a kitty nap on you hosers.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-77508d6f2476483a915926b47ae8097f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: PHILOSOPHY EXISTENTIALISM AND DEPTH and not trash pop\n\n#MTVHottestLanaDelRey\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2d8b59f3c52644949551c31f06e86b43"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: People who slam on the brakes at yellow lights should not be allowed to drive.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ab2345c1c11f4b84a2ac125a68c56c81"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Permanent slit in my eyebrow from when I tumbled down the bleachers when I was little.... I stayed in the ER\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bf40f7fdd54840e88332e86bf1ea7b5c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Photo check for background spooks. http://t.co/Hx1wghJAzy\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-33e0aa0537704483b6b66245cadef5a5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Photo: Giving you that trailer park trash. #transformthursday #ladykimora #vegasqueens #vegasshowgirls http://t.co/LjejFufULK\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0e4fa4c89ec44995a9a6ee97483af4af"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Pic circulating on Jihadi feeds claiming an \"ISIS flag\" on top of Mount Arafa in the holiest day of pilgrimage http://t.co/46YfuflyZV\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c35bc4b26c0e49cdb0f3fcc15f391496"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Pretty over this whole Yankees thing, id rather lose in the ALCS every year then live in Detroit.. I miss the real Steinbrenner #glorydays\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-98fc2d334be74a7482671e477a1d958f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: R&amp;B is so trash now compared to early 2000's.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-25be833d0ddc4738bd84233d570f98a9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @10thAmendment: Jihadi Killed #BrendanTevlin In N.J. W/ At Least 2 Others,Part Of Terrorist Ring 10 Yrs Ago http://t.co/qZtXJv9x8J http&#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e9d505ee5482473bb3b9176fc2f2b3d5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AChosenWord: Of rain showers\n&amp; weepy fog\nof soft light\n&amp; cool touch\nof wild wind\nthat carry music of birds\nwho cease to soar;\nthis feel&#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d8d3a1834d2c4064a180e8b7fb79b2c6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @ActuallyAmDolan: wen u look liek trash n sum1 complimentz u http://t.co/5AgYHBTFXh\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f35f2c28fbf046b59298edcf010a7b46"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AdamSchein: Great job by the Yankees giving Brian Cashman a new contract. The haters are just wrong. CC: @ChrisCarlinSNY\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a5160bc89e8943ed8d0885af5a32e35d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AlexPappas: Rick Scott Refuses To Appear On Debate Stage Because Charlie Crist Has An Illegal Electronic Fan http://t.co/qTPeHb2seX via&#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ef4d34192141404dbb2986935229ff2a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Amoreshonta: &#8220;@WestDontCare: Big bird has spoken &#128514; http://t.co/TxCcy3XIEc&#8221;&#128514;&#128514;&#128514;&#128514;&#128553; I was weak then I &#128128;!\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a26ba06352a243bab2ffc24ee3d9104b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AmyRoseKathryn: Justice for British seagull spray-painted red by thugs! The bird won&#8217;t be able to fly anymore! http://t.co/8PyhwE4L8S h&#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0b3a0370fee845c5a6f7c6335bc9befd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AwwAdorable: I want a pet monkey &#128553;&#128525; http://t.co/8wy8gDJIEJ\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-560c7c3ddb3245cca3e22780ca011b0d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BARRYCLERJUSTE: Whatchu sayin hoe, YOU KNOW IM THE MAN HOE\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3cdf5eaf4dde4d368fcc9f7c0bf7a59d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BaileyAdams22: When Charlie Crist said \"Rick Scott, just too shady for the sunshine state\" http://t.co/0UShmogZDR\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-29982f96ad2949caabe579084042a5a5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BeardedBearsMan: @007BearDownJedi The AFL now has an American draft system #BearBrother! Couple of Yanks are on the playing lists at so&#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ee5e9cbfd8ae4c289e7d6e032de11ab4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BenTateRB: This is crazy no RB picked yet. A RB won ROY! 2yrs ago RB was MVP. Ppl 4get how important our position is. This is insane ho&#8230;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cea9378be9754637aeebf278c701bc13"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BestOfWorldStar: Charlie Sheen did the ice bucket challenge the right way http://t.co/IjS0b0VtoY\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-92339edc7f3142f7b43a14462b60c5af"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BigMac6374: I don't like the weather right now it's scaring me lol why is it yellow?\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-176998dd6dd641188c6d8fd0d35b5766"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BirdGang316: If you a bird throw it up #birdgang #EaglesNation\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c0bdf69765af44bc8a42324eed46dd7f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BlackNerdJade: RT @Parkour_Lewis: *Last 5 hours RT @the_blueprint the last hour and a half of work trash just for existing.\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-52341dcdaa83446798a9a763f1110cfd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BlissTabitha: Homeowner Shoots Armed Suspect Who Attacked and Pistol Whipped Him http://t.co/VLuEwUGclg\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a6582da302634aea8f15a55fad529f3f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Brandee876: ghetto sour cream http://t.co/1meyQQ7B6G\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-45e12c4a23624b4b9896dee49610ea8b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Cajun_peach: Because humans aren't delicious ho RT @peta: Smarter than dogs AND your 3-year-old child. So why EAT them? http://t.co/eRT&#8230;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-323c5e24c30e4ec7a95f232f8452cf16"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @ChamsFace4music: Early bird catches the worm people\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-90cad827522940d7ac9f6069a4583ec8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @ChildishGarbino: Part of my cousin Danny's Yankee Swap. Pretty hilarious. Very clever. And very Danny. @danvii http://t.co/FKdEYzqT\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d4e5456d6b9b4981bb0c4b413ffbef48"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @CloydRiversPics: Ran outside mullet flowin', nips shown'. Shotgunned a cold one and yelled, \"Saturday, welcome back you sexy beast. Mer&#8230;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fcb7bf9039e54847b79c9c17195747dc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Colinfreeze: ISIS Supporters in America: The Jihadis Next Door http://t.co/aiMV7GiB24 @mlnestel @vocativ http://t.co/ajUAU5YwIv\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0824f47766c24d7eb677d20b67a7aac4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @ConservativeLA: Let the Dem concern-trolling commence in earnest! Wagons ho!\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7b14841cc9e2414ab7ae4405a6ac968b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @CorbynKelly13: Found some more of my original yellow bracelets and the first person I thought of was @TannerMcDowell\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-71a36f7ecce1424295d95d1635e61fe3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @CzickenShack: I'm finally ready to mass market my skidmark-resistant tighty whities, but apparently \"Uncrustables\" is already taken. Fu&#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-be75ab8bd1094cf08e3d257f3bfad2f7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DCPlod: The paranoid fear of sharia on the right boils down to: Christian fundamentalists should be the sole oppressors and persecu ...\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1648cfcb3c5246bd93affeaa53a39f2f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DIYcookery: Godiva Chocolate Dipped Oreos &#128523; http://t.co/OSYPnadYtO\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dabb9fc343d449cd94d66688c48e035b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DaCoolestLame: Yo BCU band made UCF band look like trash\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b8508bb5edac446e8702eae74f8071e2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DabGodBaby: But only BBC, the American version is trash\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-146268ad9ea34d08bf8e169120b524a0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DanaPerino: Was just handed this on my flight. Must be in good hands on this bird! http://t.co/7vJwDCdTxV\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f098531344414374a9e8b534c427b6b2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DariusJulion: that movie was trash\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1fc599b7c7e74cdbaaa096d029c41acb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DarthPutinKGB: Today in 1996 Charlie Wilson left office. \"Should be ranked alongside Lech Wa&#322;&#281;sa for his role in defeating communism\". &#8230;\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c82650150cf045659f195fce77c845f8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DarthVenn: So this is the woman who was a bird then turned into a woman from the sky in Nigeria. http://t.co/34DcwJkVeF\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b079f41442854551b94b877dd38457c1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DennisssBeauty: @VivaLaZulema looked like Princess Bella in that yellow dress&#128120;&#128120;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a9929f4bde15446f937409b36acce40f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DonnieWahlberg: On set of #BlueBloods. Hoping there are no birds perched above me... http://t.co/oDhq52QiLe\nLabel: Hate Speech\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e9a2c3f8bb444e648b82bccad446d58d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @DragonBallDeez: *Atlanta RT @PacDaGoat: Houston has so many trash drivers\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ddd10c512dab4b55a1b7c4887d209ec8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #AZmonsoon lot of rain, too bad it wasn't enough to wash away the teabagger racist white trash in the state. #Tcot #teaparty #azflooding\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9e363cad998244e6806c8fe9352bd8bd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #DTLA is trash because of non-Europeans are allowed to live there.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8bbc1203a00e4801bd3e92ce9b6a5a55"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #JesusChrist was STRAIGHT&gt; That's why the #faggots killed him. #PERIOD #SonOfGod&gt;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-15747ac2da014ec2a8cd97103b8e479a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #ReasonsWeCantBeTogether if u was talkin to my nig or smashed da homies\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-625ceaa7e59e42d2b8bdac9e1dcb318b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #faggots are MERELY a #scientific indicator that SOMETHING IS WRONG&gt; Do not celebrate as \"unique indiviuals\" for they are #cancer&gt;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-eb19346a98fe4f05bce5baa67185118c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: #milesthompson #goauche #wetback #ca http://t.co/g3Ze8bqLPG\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4b4f7ebab9af4ae2a282c69927178d6a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#128514;&#128514;&#128514; i just said that RT @BoyThats_ARYAH: My TL gotta chill with this pretty face challenge foolishness, y'all hoes agg\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5a64ad39d35642738f621e88ad196466"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@BixxhMakeMeRich: If u ask me, every bitch gay&#8221;or \"bi\"\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f993825976a74cbe9ea096b9f69d23f4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@Maxwell_Larsen: When you live this gay, you can't be afraid of two black dicks in your butt\" you fucking queer\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-eff56e8f56ea4639a2a9d75cf773ad96"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@MoffettMM: Just got done with my last final and I'm walkin around campus like I own this place&#8221; queer.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5c5000f1b232442e95a457ada1f0f7dd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@My_Fish_Died: You dammn Weed potheads are annoying af on Twitter&#8221; weed and pot are the same thing faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-65172f82839343c48a23d2ed9809966d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@NiHao_Rocky Who is she? RT @DrTruth247: Y'all hype that bread loaf chick up but I'm a chill&#8221; a dyke rapper\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-98365b71b61b4f8ead7cd2fab399dd92"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@_BitchBUH: Shoot that nigga and his shorty bitch &#128299;&#128514;&#8221; &#8252;&#65039;&#8252;&#65039;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1790d1eb7b4f466899fd73d08663aea7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@rocafella123 \"@waymoflydenu: If fleek in yo vocabulary you a faggot\"&#8221;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d74fbb43daf448ab99b7743cf9412da0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@spannerhead29: @VertrellCarter #faggot&#8221; #Respect\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-db1cb76865f840f986af526f2e6f9964"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: &#8220;@ttevy_8: i want affection 24/7 but i also want to be left alone 24/7... do you see the issue here?&#8221;fag\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3c152cd5912a496d942ee8c7398c1e8b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: ' Happppppy Birthdayyyy &#1041191;&#1041196;&#1043215; lol . Niggahs is really 21 in this bitch &#1043358;&#1041219; . http://t.co/YatU7pbsHX\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6ea4ba8e7053462799e047d4ecfbc214"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AmericanWhiteHM I hate that nigger.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9e0ca4b416ca4c90b01b6b5d8d95987d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AndreBerto can't wait for more PEDS is that it? Roid munching faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ec64330227a4420c8cb6b6add3c430b2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AndrewJBurns1 @Tommy_Russell_ homo ass crackers\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7f14b2b1ed2944ceaabeb9ade222fc97"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @AustinG1135 answer my snapchat faggot \n#butthurt\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-daf855ba32dc49cfb0c3e8072c0fe290"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Barbod6FCB @_cblaze @ODDBEAST cracker jack shut the fuck up\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c0719965b512453b80fd4da93ae643f9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BillionaireCrow @Neelahrelates your what's wrong with the white race you fuckin coon slaying piece of poop please die alone\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f42c2887e0c24112b0816ddd0335119e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BossMelle never followed him ignorant monkey\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fc7c52e3ed664612999765711befff95"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @BreeOlson @Gingerbeard66 your a nasty nigger whore\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2ffe2ba885e243b2bc243573b79286d1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Buckm00se I don't like the sand nigger but it's entertaining like 6 knockdowns\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7e82b2fe7ebe4a5ca031afd3f11fd5df"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Buckm00se all us beaners were pissed like robert when the jew ref stopped it\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7a828c0e4d2d4dfc8bd98d350d81075e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @CharleeRedz13 your gay stfu, dumb monkey\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-55631bcbf44a41a1bb43e5651ef4c4d9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Chris_Anzueto @Josh_Mackey15 you call someone a faggot and then say to kill themselves, you are a pathetic human being. A fucking disgrace.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f23924a7b69a41c982fa5074c05fc475"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DangItsTiff you look like fucking shrek bitch\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4067be7d71b247cfb2ce9f6eeb18e4d8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DatBoyRayT because if you support lesbians you have to support faggots there's no difference.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-df237908551f4ab9ac5efb8a036a244f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DefendWallSt those little #ISIS faggots usually have bags over their heads anyway. \nMakes bullet placement interesting thru a scope.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d86a13fcf6344dfb94d716bdc25f42ae"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @DestroTheNoble @nekolin purple &amp; pink....for the faggots who want to be protected...by the police, instead of BEARING ARMS if need be!\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-12878d4689a248d99145b79adcf3187a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EvanBecker513 @_TriggaPlease_ @MorbidMermaid @zooyorkinit @_ShayisdaBOMB_ @Rainbowblake because she's a nigger\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e1afd2789ffc419c831c6f51d98031c8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @EvanDMyers @nineinchessoft you have a redneck attitude. The same people that think Benghazzi is real think Fox fake nws is real. Your one\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-edd2b452577341b9b602465542ecc4f9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @God_loves_biebs Go pray in a church or something fag, no one cares about your religious bullshit.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-181f8221977d4db3b37d8377c276489b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @GrizzboAdams fucking block your white ass because you try to start shit like a fucking queer so fuck you NIGGA\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-852b5dc6d6ea4b499c2cc61696558b89"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Hovaa_ ya I know all the slang I'm racist I h8 porch monkies\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-58fe3a2c71f944c4915d94a66becf9a6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ImToBlame you a fatherless wallet carrying ass video game playing ass negro breh. You filth. No way you can afford to date a #TwitterHoney.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6a57b8178b874668bf20eb87c0c0ddc2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @InTheOvenJews @SlaveCatcher88 @marylene58 we should hang out ovenjew. Have a lot in common. People waste time on nigs. Jews r r problem.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7316d64a0c684e75a925930090f70685"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JaiBrooks1 not funny u faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-566b421d1ca04e2988496cf36a5b4836"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JimBoberson happy birthday faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e59f7e3179104497b68a00d030410166"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @JuanYeeze damn took this dumb spic nearly 2 days to respond, wuz really good tho beaner?\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-00375e40fdd34f9997ff06744f02257e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @KingHov1313 i got a dyke wit a child as whse mgr, and she jus hired another girlboy dis week....\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-11924dd04f2847aaa815e0f7b45dd13b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @LobstrThinkTank Yeah! Me too. My people, the women, laff at the set apart men... they love the real niggas or niggers.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3ea17bd0e0ab48c0b82be851cb6ac744"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @MarkHalperin @WSJopinion @BarackObama Anything to trash this black President!!\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-4d078147e95b4fd1bcb21b0d99dda019"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Maxwell_Larsen your a cunt\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a5842c00bc2a421ab02ef54458ee174d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Misplaced_Momma \nShe be what we say in da hood white trash\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-10400cc536154275bebb6102b600b659"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Montea_Rollin @kayysavage I wasn't serious bitch &#128514; bitch them niggas i named ain't fuccing witcho ass &#128514;&#128557; we all just making shit up &#128527;&#128553;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-42d66657be874a0a8ed5ed75c9ed93e6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @NOT_UR_BRO @niccol3_xo lmao nigga shoulda said I would be balless bc dat cold bitch wont stop blowin me#swaagg\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fa075cdce83b456d8847206d5acf8787"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Po0pdogg back up faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-24de003cac764daf9a85ac49ae9b5255"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Princesslexii16 Fucking coon\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d29dd9577ad34e84b757e122466a55ae"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @STACCS_WNT_FOLD you tell me, coon.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b11d11a036914e4f8b918eeb3bee0fc6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Sammytbh whats your youtube channel then faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e319b98fba4a4e33b71da5b72e434805"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @SexWith_SocksOn faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b78ca4c21024480da0f35e819d797e7d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ShawnIrwin9 okay closet fag\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c0f6436666664751847d711f7c469066"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Shmalec13 ya fag\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ed5f34172e7c4354b0082f34a392efb8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Shvkxir @RickiRoma @BaeSongz @JayZOverrated Ahmed and retard mikey for special Olympic boxing\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e93515c1054f4e51ac69454aef8dc36d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @StephyRae7 faggot.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-28a58c1d226a406b9aa4387762638c1a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @Sterm26 @RealJamesWoods Just like when I call someone a nigger! It's not because they're black, it's about how they act. LIKE A NIGGER!\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a1c4d95f11504095ae847c9e27a1d351"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TheKushZombie Aww y u so mad tho, a successful man LMFAO, hut hugging as faggot.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-57ae1202931d429aa27367d3b39008ac"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TherealGeorgeZ you are a pussy without your guns bitch as spic. Your daddy doesn't even respect the sperm he drop in your moms stank pussy\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0291117f1fb14472bb2f0ad803db77de"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @TweetfrmtheSole it&#8217;s the entire pats bandwagon. They&#8217;re faggots\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-748f92cba8eb4a3098d3ce9c148a605a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @UberFacts studies show that you're a faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-36c13c80f77844c29b309931633e95b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @WhosJuly 1) He's a faggot and I don't like him. 2) I'm on the other side of the state.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e8d96b6ec94a47c882c7929f7e6501ae"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @YeIIowbang I hate that faggot he so corny\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-64d0ec7e46cd4839806aeba35d0b49dc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @_jeff_hank @lgreiner3 @RayceWarden @BigJohn_Studd shut up nigger\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c37254cbf63044c58d4298a665c260c6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @asshole_king oh no. They drafted that gay ass that come out on TV? Well u welcome to Redskins nation. No queers just a lot of niggers.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d614a71769cf4fe98fc7b85fb894c8c4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @asshole_king with pills that nig will last 4 years. Like magic j .That nig should hav died years ago. Y'all the first team to draft gay.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2c0ee5c6b5b5492b94732d6f5a4cad7d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @badshah200 Ur pal @STLAbuBadu threat2 \"apostate kufar\"&gt;\"I cld cut ur neck w/sword of islam &amp;watch u squeal like a bitch like Daniel Pearl\"\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-28811b177be74cff8c78d7dd833bbf08"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @bellaangeletti no ud still be a fag if I was lolz\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-516c4554382a49bab17115f72e13a1da"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @darthdanaa Yes you do retard.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3c8b5a90bfc046fa935ae83a6c9365a9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @davidly62793584 how many fuckin fags did a even get? Shouldnt be allowed into my wallet whilst under the influence haha\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a8b382c996644abc8cd907bb09546031"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @denytheprophecy thanks for ignoring my texts fag\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6fa0a79eff704fb2a4f0df81a5d0107b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ehasselbeck @bi_politics teaching that pretend son to b a pussy! his son would have LACE ON HIS JOCK STRAP!\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-85ff2f3c801a47d6a02c78f4b8a9fa01"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @gellebeaux_ whatever hoe bitch #1 them \"fags\" beat yall sad asses too\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-be56f13ac4064424bbd6651f0985a25f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @genuineMitzi @NonVictional fags.!\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2e5011d111744d3aa948e85d36c9209d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @gezus__ @MANIAC3X @bam00se @Woody_AFC mean bro fucking faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c7ac91779fd44abe911587951752ad71"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @godrocamora416 faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8feee399e15d4778a2bcfb4e26598ce1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @hellootitty nigger\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-620555d8458e4d758346fda0711b391b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @holyh00ker he looks like a pretty dyke&#128129;&#10024;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-66352fbff5b8435fb3d7aa4ec9a216f9"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @infidelpamelaLC I'm going to blame the black man, since they always blame \"whitey\" I'm an equal opportunity hater.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e439515281934a9094f82f89b18ccabe"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @karmendanielle_ u gotta slow down these coon hrs all they know is love n hip hop, lebron, &amp; fake love quotes\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ed786d177fab40e286f56ce2e904ce50"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @kiara_curry i know im so kidding. Some of BET is funny. I love when blacks call eachother ignorant and niggers. Makes me not have to\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f2428af6a4cf41329b32b44cdacc72b4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @kieffer_jason how would u know if I don't fuck with you? Exactly you don't wtf I got shut your retarded ass up\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7dc3e7ffc9784ce98e4427a66efe5312"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @kieffer_jason lmao why ur dad raised u to be a bitch made nigga\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9421ce2bd0ed46878b5aecbc7e5dfb4c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @kiela_g_3 &#128514;&#128514;Alright fag what about this? http://t.co/5ht61NmjJ3\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3bd6354f8ed24b6c83ee5fb2da60032e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @kristin12909 better nig. Lol but if anything ill flip u the 10 or something. Im tryna get some more cash\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a240ee847ab8446a872f26685970a1af"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @ktpowers98 @WendyDavisTexas Ha Ha Ha no good fat dyke\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5e86eee95ae84f22943f0cf2f45fca84"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @luvvida You're right.. I be around my nig....\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-cde072dd45d247aa9603bd37ef4be9cf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mah5H stfu white trash\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-205a6d3c83cd4662889e77d65138f663"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mayormcginn If racial minorities weren't criminally inclined, they wouldn't have so much to worry about. Act your color, race traitor!\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-332c6938177b406dbc16deccb6e92f5c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mjs79 @ChingonAbe well he is at Genos. So he is the ultimate faggot\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dd28ba46ca0b4da586bf302e07053a3b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @mlvassallo Oh really? fags are gross You aids infected sick fuckers\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6f575cb0efb445dcb60066031eb35ab3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @onIinebaby I knew you were a faggot though\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c15d3d5ee6e341058644b6bf6c3bd875"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @phreshagu_25 yeah you right and you know them Mexicans bringing all they family that hoe finna be packed\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b229b7b045304a90b14ebd2d5c77a1c2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @prettygrl_rocky ugly dyke\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ec1c9eac9d87422283adbd6bad1acad5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @seannn181 youre a fag\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a2b1e0ecd4cb49979712e51937ec468d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @shefeelsD_Payne hell naw he ain't he the star of that team lol but I'm sure that white honkey called him a nigga\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bcb519053da84d7a836c8c4b5374596e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @skrabah Don't my nigga me honkie\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-450a03208896484fb22be83c1dd90ff7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @sweetakin Only rich white liberals know what's best for black people. If they don't see that, they're obviously Uncle Toms.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-aa9bba14560e486dbec50bf1a7d75180"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: @whiteangelss84 y dont u end us monkeys then? U hate us because were better than crackers &amp; I love it. Deep down u know weve done nothin 2 u\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2b869d0bb42246fcbc6d7fe8d171a666"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: A guy claiming to be Republican called C-Span news and said \"Republicans hate that nigger Obama\" https://t.co/XZe0u7guZM\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3d49374eee2b4501a103666a6c12f673"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Already more yellows than the last 2 years combined #IndyCar #Honda200\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4bdb9014bf744f59b91174221f8935c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Anyone who came to the US as an indentured servant is white trash.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ec29609f48d54e758412b209d00fa54f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Bald head bitches think it's their time to prosper !\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-869b771a8fa64ab8819cbe20c5514b30"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Bitches be having a nigga but want to be another nigga WCW bitch it don't work like that\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5b999a246bb945aa9acfee12cf364d70"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Black bitches don't be kickin up in our school. Bitches still comin wit durags still on they head nd shit.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9b5d9fc856504335b55de68193a39eb6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Black cops want to kill white citizens. Spic cops want to kill Anglo citizens. Zigeuner cops are all rapists.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7728fbdb340141f489ac6845f8f8d844"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Black people like @ChiefKeef disgust me laughing at someone who died dumb monkey ass niggas like you need to be locked up just for stupidity\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3b932711df744be0831f9486af56bbda"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Curse AVI for Coke because he's a fag and hasn't put it on yet http://t.co/jHQPwop4wk\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-601a5bac36964c6f9adc712d5fcd1889"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Damn @JustDoMe_ &amp; his nigger music waking up the whole school in the morning .. &#128664;&#127926;&#128543;\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ea84cd0860ee4fc7be74a487677a82ec"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Dumb bitch https://t.co/We46wO15nI\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b4a5080034664552b252ead45eef1010"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Dyke bitches kill me thinkin they really got hoes lol\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5e57738023af4f26812488c7511a3ad5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Every slant in #LosAngeles should be deported. Those scum have no right to be here. Chinatown should be bulldozed.\nLabel: Hate Speech\n", "labels": "true", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f02a8c5b23964889a98cf603040fcfbb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Fuck Ur god until dat faggot strikes me down\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f7157a574b1f4592bea14e6d92b46963"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Fuck that niggah he so weak, he cant tell that you a freak\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a0035d093e4946f38499ee1c05b96572"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Fuck u niggas gonna do not a mfka thing oh bitch ass wack ass nigga y'all some fake ass people\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d03146c0196f47a2886fd3f3b0672cb5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Fucking faggots @DMVFollowers aren't from or live in DC, Maryland or VA\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-dbe42d4925354680a30b55dcdfed05d7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Fucking with these hoes nigga don't be no dumby\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1689a54bf597461dab2ae24ea4f98ac7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Gabby's a bitch and has two accounts\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b80673587cad4a96a5d80acb628f249f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Getting hit off a cunt thats about 6 foot sideways and a cunt that was in the army lol, i dini care, yous are fuckin laughable\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1ce10188ad9d46c2948eaace1909970e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Giving you that trailer park trash. #transformthursday #ladykimora #vegasqueens #vegasshowgirls http://t.co/5BbMhApHrD\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-98ee05753ff540c888d6d34ce532c500"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: God I would sell both my nuts to watch LeBron tear his ACL right now and watch all those pussies kill themselves\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ba6e1372a79e408688815e273ab8d2fd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Hate this dyke\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c4ad6024035d48e0b50d1e77c469108b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Holder&#8217;s Justice Department Isn&#8217;t Interested in the Facts in #Ferguson http://t.co/7vH4tyPMht These race hustling bitches are DISGRACEFUL.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-004c876c88ab46fb98460f8ab5b436ac"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I bet you think you a no-chill savage huh. Fucking faggot @KILLSemaj\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c18e4785f2784df9bba0ba6ee1db1ee3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I fucking hate you niggers bruh... http://t.co/OeTK4f94BO\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-879ffc13b444444094f9fe3ac8dca7f0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I hate dumb bitches\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ceedc1c8ce3d43f7afee29a09197a508"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I hate the ghetto trash at the special school across the street from my building. All of them will grow up to be criminals.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-62e01a770e8245bab8efed21aeb72692"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I hate when white trash try to act like they're my equal. It only makes it that much clearer how white trash they are.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8bfefd18f0ae4dffb116e1999d1a15b4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I just wanna slit this mf throat\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fa67649ed7ac47d4bcc25f886d318750"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I missing something of my ofay friends. Day all scared by da recent happenings. Don't chu worry...ol Lamar say you like da colored folk\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-07387cad97684b799037156609487c46"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I swear these anon fags go to protests just to take pictures to post to Twitter. \"Look, I was there...Like me\"\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-356193f00d454ba1b6cc689201e73424"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I think this nigga retarded G\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d8388bfc42e94c9bb58136721e01c560"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I wonder if that Latino strategy is working?@TPM: GOPer doubles down on \"wetbacks\" but backpedals on \"shoot on sight\" http://t.co/QwlPxxsUIb\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d18ae21697494c5394f9c37bd3712fb1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm literally laughing in shock, amazement, joy. In...just everything. In everything! Pop the champagne American queers. We have arrived.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b30e98da69a64ffc835927b04d81a851"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm seeing more &amp; more niggers migrating further up liberty rd... smh\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-67154699a3a947579654b53041994d3c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: I'm sure @AFP would add this helpful parenthetical explanation if these were redneck peckerwood teabaggers. https://t.co/zkqg5WfE5R\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8a48c2b409a0494cb4fcad6a30831184"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: If a spic ever talks to a white person and the white person kills them, it's self defense.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e1af01f599df41f28cecee8736e072a2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Just to get u mad go on your search bar on here and search up \"stupid niggers\" &amp; hop on somebodys head then mention me lol @stonethegreat23\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-29a6e546fc03420da8c09a6f786cedcb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Just watched the scene in zero dark thirty where they pop Osama's bitch ass \n#U #S #A\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-64b8971f92bd46bb9417c1c78061c835"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Liberty and justice for all RT @ThatAngryNigga Go get me a sandwich nigger or I'll kill you\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-44b3d482f13443d98a0c142e57a60f66"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: My best friend loves Justin beiber what a fag &#128557;&#128514;&#128557; @Cryystalina\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-761470fa0c2740719f68abe6bad62824"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Next time u gone call a darky a nicca..call dat coon a jungle bunny#Boondocks P.S. I... http://t.co/ug647wUIE4\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0a8eae97c5054b24b7f0aaa1b8c11a88"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: No half-breed spic has any right to say anything to any Anglo ever, and should be killed for doing so.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-793bcdf720d74843bea0c7688e790984"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: No one goes into psychiatry to help people. Those people are all immoral. Everyone who works in that field is pure trash.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c401fecd2a024126b72b53856780516b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Of course my #faith for #baseball is off this year. BECAUSE OF #BARRYBONDS you goddamn retards!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! #morons\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2a22860928a845b9b386d94e1f80e127"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Omg!!! You won't say it to my face! Stupid ass hoes talkin shit!!! Imma whoop her ass!!! *over dramatic teenage girls*\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2678ddea2fc44298a3136796337e1bce"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Pennsylvania is white trash and is so are all Pennsylvanians.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4509b10f4df48cd8d008d2b9ef3eb99"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: People get more and more retarded everyday\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3be61e2765f048c49664eb660b3ff8d8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AssholeOfDaYear: Rudy Gay a faggot for not changing his last name once he got money.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6e723bc4f4b94c239a4357ea6e75d790"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @AyeeDeb: Ray J is the perfect example of what happens when you give a lame nigga some pussy.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-06989b063e364c06bf106df5c4c80f16"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BlakeAnderson21: @weston_diamond @sleezy_jeezy @justinmiculka01 not about to shoot this pussy! Ima beat his face into the asphalt t ...\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-80419cae0e0c43adb3ef7ba97349d5dc"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @BroganWebber: Beyonc&#233; is trash.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c5bf973487b740cab4f39848e6858fee"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Cougar745III: this girl comes into class with fried chicken and pulls hot sauce out of her purse i mean come on how ghetto &amp; Stereotypi&#8230;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1aae8f8b43fa4970a61533b62baab00f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @FunSizedYogi: @TheBlackVoice well how else will white ppl get us to forget our horrific past other than to paint a pretty picture of ho&#8230;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8366f5a88bf54bc1999fe3c6487f6ed1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Honey_GotBunns: @1stBlocJeremiah lmfaoo NEVER I be Dolo , I dont got no niggas, &amp; for my old hoes FUCK ALL THEM &#128074;&#128514;&#128514;&#128514;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e767c558f4f949148af898a0d5014543"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @JHazeThaGod: You other niggas a call up a bitch to fight a bitch naw not me I'm whomp that trick so she can feel where I'm coming from\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d8c4bcf460d9475899590417552887dd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @JakeWaller97: Do you ever just see someone's account and think \"wow what a faggot\" but at the same time you can't unfollow bc u can't m&#8230;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-15ae6abbc1314930b82e97ed8c585287"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @KidnapYoGranny: if u dont want your heart broken then dont check for a nigga who entertains hoes\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7c13b5bddcac4eebb58d0ef11f7c6cb4"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @KissMy_klASSy: Exactly. .same shit I said&gt;&gt;&gt; @Im_Yung_Jay: So nobody think Mimi was outta line for inviting Stevie J to the gay nicca v&#8230;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fbef6103798149b78a8bf877394c7ef7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Leslieeeixta: Bdubs is packed with beaners &#128557;&#128514;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6f19cb4235f9448cad68636a9014e6fa"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @MAfreedom: If you dont see the connection between legitimizing the queer lifestyle, and an increase in STD's and sexual deviancy- yo ...\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b235b62a50ba468eb026f2ff13468e01"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @MXLLXVV: \"@VivaLAJuicyy69: ----&gt; tragedy smh RT @MXLLXVV: Niggas don't know you but will throw dirt on your name for the pussy you h&#8230;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bd0469de080e4fa98ff3dd790c92c775"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Moisessp14: Look at u now u pregnant stupid bitch lol\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2ff6b71205804a2c899b7cc12a710cfd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @MrzSixTrue: Ill break a Bitch down, like the pussy she is.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6fb15f779a9041a992c7b1fa6fc6b3d7"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Opatz1: Fuck michelle obama. That monkey doesnt belong in the white house\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-95ef4fd2cf304449afdfab7faa27a3bb"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @RakwonOGOD: U hoes going to church this morning like y'all wasn't busting it wide open for niggas about 4 hours ago\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-ed4b95daf22841f6b015bdf024778723"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @SAMMI_boyden: Fucking James tried to tell me Jawga Boys sucked. I went ape shit dude @savanigga @OfficialDThrash @jawgaboyz\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-598c51637abf4750b49f47ffb6082298"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @SalamanCode: Proof that thots are retarded. http://t.co/rHJSlL9i9f\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bffb3f343e7443b98b91b935082c89cd"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @Tae_Rhodes: &#8220;@kim92493: &#8220;@Tae_Rhodes: @kim92493 @patpatbush uhhh you've been judged&#8221; it happens. #whitepower...I'll hang you nigger&#8221; wo&#8230;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f68dca57b08d4f94ac36abc922f50c95"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @TheOnlyReed: IDC what phone u got, lol silly nigger\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-efceb3111f7043ee81d2bbf7a6f1cd7c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @_asslxrd_: my inner nigger is coming out\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-99726eab7ec04331a2f93c610d6785b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @_iHATEMOON: All these bitches &amp; niggaz with they imaginary haters .....\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e37f7feb6c4c4f2696cc0a10bcb3050d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @anthonycampos23: Lebron your still a bitch you suck nigger hope you die\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9a1fb51576094089afca10190f770254"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @dirtyimage: @Tronkitty not just cause of hoes, go to jail cause of fucking up hoes bloody n making them call you head honcho\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-b9a0bd77965546d9b2c7b640661af21c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @iBeZo: Stupid fucking nigger LeBron. You flopping stupid jungle bunny monkey faggot.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f9390cf580e74f4eb8215f6c37be7541"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @iDntWearCondoms: Stop stalkin your girl social media u bitch ass nigga\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6124f4ae13f4494eb81d3af775ea905d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @kiddsmy_pyt: You have a new boyfriend every week.. Tf you doin hoe?\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0ff562984f284d23997c16e629b6ce3b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @kristajayMFC: No mom. Im not \"dramatic /immature\" i just have fucking mental problems and youre a bitch and a cunt.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-845359036787403e845c4291579ea7f3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @marylene58: \"@maggietanquary: shes one of the ugliest women Ive ever seen. Cross between a reptile and a crow.\" http://t.co/jsyAoguP4S\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-750b0911b5bc421484180ce090428fec"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @milesfan79: realest tweet i seen today RT @SoopSoo: &#8230;. Dyke bitches are rehab for hoes.And once im healed,back to the dick I go\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-daee30f5c8fb4f68857dd823e608668d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @salmeron_bryan: You're not the father ! What every Mexican/nigger loves to hear.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-742d15a454be49a886a0525db493400b"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @sorryimalex: I got called a faggot for buying girl toms so now I'm gonna fuck that person in the ass\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a4b915dc6fe24d4784367f956a263e8d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @stepheeezyy: Rt *nigga *bitch *him &#8220;@187XO_: ' I will never date a female with another niggah name on her lol . Wtf .&#8221;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-311eabc6967542f5868897c5bc8bee7e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @taylor_TM: @PacmanJonez @PhilWOTG you the whitest person on my TL but you always so ghetto. Im sick of it\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0b30cc8fabab4668bd810ea1df2f7a9a"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: RT @twerkn4boba: \" fuck you say bitch? I will kill you \" http://t.co/3EiGzh6Q13\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-852b768208aa43e88858883e20ee16e5"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Seem like da colored folk be gettin in da way lately. I just sayin\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2bcfcd1344b34c3d8988b9018cb493f1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Sick of your coon antics RT @POONsoaker: Accuracy RT @Thotcho: &#8220;Henny &gt; water&#8221; &#128128;&#128128;&#128128;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-073d8a987de643ceaf7a1341362b3542"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: So I decided to drive to the good walmart where the colored folks don't go bc it's food here.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-677ecd588c954ba589428b4b8c243407"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Some niggas save hoes\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3847c68790654046a2a3fe676a4e939f"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Somebody couldve been like \"aye man you dropped your money\" but nooooooo fucking broke faggots selfish bastards i hate yall\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-a422f09dddeb41e1bf3dee07365a2269"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Soon @fuckeveryword will be to \"Fuck Backtrack\" and I can't wait because fuck those faggots.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e1b8ad907f064c959c62381d85ae6153"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Sorry fo da rant. It make me mad and ashamed to be colored. I wish I be white so y'all would like me\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-9f4fadf675a845b08b39793edf1c834d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Southwest airlines is like driving in a mini van with your white trash cousins who love to huff paint thinner before before working.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-beb5c065b2634477afc5863d4c7393b1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Spending money on these hoes , nigga you aint fuck SHIT &#10071;&#65039;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e19e572d52204f23b81074d1fed1ae07"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: That dumb black bitch that was getting the cards for the picture made me so fucking mad she ruined my day &#128545;&#128545;&#128074;&#128298;&#128163;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-56dc58c0f3244876b7fda0be1b7ca560"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: That was my faggot rant for the night.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-be37585627eb4aac81115aebc69ae100"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: The reason Shelby hates sandwiches is because he is a queer. @RonandFezSXM\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7ececb57d1bd4722a0b35ff097bc78af"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: The thing about working with black people. These bitches never on fucking time then wanna complain about a short check. Bitch die.Today. now\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-7697c448f4b643e29d871d5ae7a558f6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: These hoes be lying to all of us nigga I got news for the monogamous niggas yo bitch fucking anonymous niggas!!!\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-3751d23e7e4c4a96823646e9a1687def"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: These niggas retarded... Lmfaoo\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-2163bdf2123e4196ba1d1d9ebcbad113"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: They slut for me they kill for me they steal for me and of course it'll be yo cash and I'll murder that bitch send the body back to yo ass\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-011b39b386df4b2eb53e30d85eaa991e"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: This nigga jerry room smell like bad pussy!&#128530;\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c213b50950114c1cac91a79e8e46e6ad"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: This white bitch tried to set me up for a racial war ... Lol bitch it's impossible I'm smarter then you\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-c3a88659f6c94e0c9a626e00e27ffda3"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Truth RT @Adolfhibsta: Only a faggot would turn down hairy pussy\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-6158a561688a45d093c632fb44e87877"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Vanessa is such a fuckin faggot.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-5a26c9bddf23405d862d2bf9ab711854"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: What's worse than #Ebola ? The F-ing retards trying to make it a race issue. Al Sharpton has caused more American death than ebola.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-061fdbe0280c4140ab1024e39df99dd1"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: When a pussy nigga socks you and doesn't knock you out.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-22a2662b8395406992c647f60c405e42"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: White trash okies don't count as real white people. To count as a white person you have to count a person. Okies aren't people.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-d5fe99174e154b0a89542643322e226d"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: Whoever had Mr. Ramlogan for UWI business law tho? Racist mudda cunt\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-bf0b8370eb1c4b30a55e7e22ef2ab087"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: You a lame ass nigga still cuffin these hoes my bitch got a bitch with er\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-fe2997f1aaec4550a1199d642b8c9da2"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: You can't owe me shit ion trust niccas\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-794a67cc82f44c03917c99336cce88a6"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: You state it gook\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1cf7fccb47de4e669f1c8b79b26afaba"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: You&#8217;re a little bitch RT @FuckingCashBro: RT @Thotcho: my team got blown out in the Super Bowl\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e3f827b4e227467293814ada9431ebc0"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: bitch kill yoself, go on to the bathroom and eat the pills bitch, all of em\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-0a399c5a10e84af0a9846d39bc13c94c"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: coons\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-f90e2bd3c35c44d3b2032d0e27ee4933"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: fuck ray rice ,someone crack that bitch\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e42efbd6e68343c7a827a878f4b639bf"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: gay ass fags http://t.co/eqn4gvW42V\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1b3210b0c9fe4a01978f327395bf6ee8"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: hope gezus gets shot in his faggot head #houston #nbombs\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-1ad2ed9565f1420396a94b4b3def3a08"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: i find it funny when fags write \"looking for bf\" on a grindr ap. LOL thats a fucking ap dumbass.\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-24bdd87ff6fd435092d11a07cfee97ea"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: it means that im following orders and being subordinate. sue me, ya dyke\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-59a8480c5c3b4d90b280397b8c5ecb40"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: my mom tried to get me to buy beaner boots bc they were on sale like I'm not in a mariachi band please stop.\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-e9ee8a2c1e3d474db1b019c6c4649d61"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: redneck in the White House // Moccasin Creek &#128077;&#128076;\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-8ba31e0479c34697ad52197266361162"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: slow replies make me feel like a retard and I just want to put my foot through a wall... hjhdyhdhlgjdftilh\nLabel: Offensive\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-12ad4e9e00ad4aa1914139c69cee1650"}, {"text": "Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\nInput: Tweet: tell the hating niggah \nstfu\nLabel: Neither\n", "labels": "false", "task_name": "task905_hate_speech_offensive_classification", "task_category": "toxic_language_detection", "id": "task905-854fbf1dd0e94b8eb9b4519583956f0a"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1: Okay, that was Mike. \nSpeaker 2: Phoebe, hi, we're so sorry. You're totally right. We are here one hundred per cent and we love you and we are ready to start your birthday celebration. \nSpeaker 1: Huh, guys, that means the world to me. Huh, okay, I'm gonna take off. \nSpeaker 2: What? \nSpeaker 1: Oh, I love you guys too, but Mike got off work early. Wait. Wait, I'm not the kind of girl that just ditches her friends to be with her boyfriend. You know what? I am. Bye guys! Judy! Bye. \nSpeaker 2: Oh thank god, if Phoebe's going, can we please take Emma home? \nSpeaker 3: You know, I think that's a good idea. Our babysitter just pounded down another Chardonnay. Bye, you guys. \nSpeaker 4: Bye. \nSpeaker 5: See ya. Well, this is just us. Mike is or was dating which Speaker?\n", "labels": "Speaker 1", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-348a7718e4554a929cc63cb7350e4da4"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1:Check it out! Cup hat! Cup banner! Cup chandelier! And the thing that started it all, the cup! \nSpeaker 2: Great job with the cups, Pheebs! \nSpeaker 3: Why don't you just go out with her! \nSpeaker 1: And did you notice the ice? Look! We have it all! We have crushed! Cubed! And dry! Watch! Ahhh! Mystical! \nSpeaker 2: Awesome! \nSpeaker 3: Chandler! Everyone--no one's eating my Tuscan finger food 'cause they're all filling up on Phoebe's snow cones! \nSpeaker 2: There are snow cones! Snow cones! Yuck! \nSpeaker 3: Y'know...go! Go! Right there! \nSpeaker 2: Thank you! Thank you! Speaker 3 is or was dating which Speaker?\n", "labels": "Speaker 2", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-0156921f8dce4d5fb136476e5fa5071a"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1: Ugh, I cannot wait to ask her out! \nSpeaker 2: Wait a minute...Joey. Joey you can't ask her out, she's your roommate. It-it'll be way too complicated. \nSpeaker 3: Yeah, yeah man don't do it. I mean if you date her, then-then-then I can't date her. \nSpeaker 4: All right, think about it. Now remember when you were going out with that girl Donna and you guys broke up. Remember how horrible it was when you guys bumped into each other at the supermarket? \nSpeaker 1: Oh God, yeah. \nSpeaker 4: Now imagine you live at the supermarket. \nSpeaker 1: Okay! \nSpeaker 4: No-no \nSpeaker 1: Oh, Oh, you're right! I don't want that. I can't date her! \nSpeaker 2: Yeah and you better watch the flirting too, cause you know, in such close quarters, it could be trouble. \nSpeaker 1: Well, that's gonna be tough Mon. I mean it's hard for me to be around an attractive woman and not flirt. \nSpeaker 2: Hmm, well you're around me all the time and you don't flirt. \nSpeaker 1: You a little sad about that sweetheart? Donna is or was dating which Speaker?\n", "labels": "Speaker 1", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-c429c769f0294c50a1365f95d7631678"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1: uhm... Is everything okay? \nSpeaker 2: Yeah, It's just... I don't think I can do this... \nSpeaker 1: Ooh... Is it because of what might be on the bedspread, because I saw that news report too, with the infra red and the ... I could just... \nSpeaker 2: No, NO! Look, I need to talk to Joey. I mean, you guys just broke up. Before anything more happens between us, I need to know he's okay with it. \nSpeaker 1: I uhm... I completely understand. \nSpeaker 2: Alright, I'm gonna go find them... I just need a... need a before I can... you know. Okay, I see you later. \nSpeaker 1: Okay... \nSpeaker 3: That's the door. He's gone... \nSpeaker 4: And she's... turning on the TV... and watching... Miss Congeniality! \nSpeaker 5: Honey, if you know it through a wall, you know it too well! Joey is or was dating which Speaker?\n", "labels": "Speaker 1", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-2dce90aba46e40e6b9505df6d7fe6686"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1: I'm gonna go. \nSpeaker 2: Why? \nSpeaker 1: I haven't been home in a couple of days and I need to get some more clothes. \nSpeaker 2: Oh...you don't have to go...I have something that will fit you. \nSpeaker 1: I put that tube top on as a joke. \nSpeaker 2: I want you to stay. \nSpeaker 1: I want to stay too but I've got about as much out of these boxers as I can. \nSpeaker 2: Why don't you turn them inside out? \nSpeaker 1: Done it. I'll be back in a couple of hours. \nSpeaker 2: I'll miss you. \nSpeaker 1: Me too. \nSpeaker 1: You know what? I just realized something. I don't wanna go home. \nSpeaker 2: Great! Ok...I'll go get the tube top. \nSpeaker 1: No, no! What I mean is...I hate going back to my apartment now...And partly because I live above a known crack den but...mostly because when I'm there...It's just...i really miss you. So...Do you want to move in together? \nSpeaker 2: Wow...Mike Hannigan...You sure know how to make a girl say \"Hell yeah!\". \nSpeaker 1: So we're doing it? \nSpeaker 2: Yeah! Let's do it! Let's live together! \nSpeaker 2: Oh god...We're really going to move in together! \nSpeaker 1: Yeah! Speaker 1 is or was dating which Speaker?\n", "labels": "Speaker 2", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-36d4f3c18b5a4c7880a53e95518e9189"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1: Hey guys. \nSpeaker 2: Hey! \nSpeaker 1: So, anyone up for a midnight dip in the ocean? \nSpeaker 3: Ahh, no, I'm good. \nSpeaker 1: Okay, I'll see you in a bit. \nSpeaker 3: Okay, have fun! Wooo!! \nSpeaker 2: Come on see, she doesn't look that bad. \nSpeaker 3: You can see the moonlight bouncing off her head! What the hell were you thinking?!! \nSpeaker 2: I don't know. \nSpeaker 3: You don't know?! Rach, you balded my girlfriend! \nSpeaker 2: All right! Ross, do you think it's easy for me to see you with somebody else? \nSpeaker 3: Y'know, hey! You're the one who ended it, remember? \nSpeaker 2: Yeah, because I was mad at you, not because I stopped loving you! \nSpeaker 3: You still love me? \nSpeaker 2: Noo. \nSpeaker 3: You still love me. \nSpeaker 2: Oh, y-yeah, so, you-you love me! \nSpeaker 3: Noo, nnnnn. What does this mean? What do you, I mean do you wanna, get back together? \nSpeaker 2: Noo! Maybe! I, I don't know. Ross, I still can't forgive you for what you did, I can't, I just, but sometimes when I'm with you I just, I feel so... \nSpeaker 3: What?! \nSpeaker 2: I just, I feel, I-I just... \nSpeaker 3: What? \nSpeaker 2: I feel... Speaker 1 is or was dating which Speaker?\n", "labels": "Speaker 3", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-55f9d07bfaa1484fa1fac4049c85c8f6"}, {"text": "Definition: You are given a dialog between 2 or more individuals. Within the dialog, there will be clues that indicate two individuals were or are dating. You will be prompted at the end to answer which Speaker (or named individual) is dating which other Speaker (or named individual).\nInput: Speaker 1: Morning, hey, you made pancakes? \nSpeaker 2: Yeah, like there's any way I could ever do that. \nSpeaker 3: Monica and Rachel had syrup, now I can get my man to cheer up. Good morning Joey. \nSpeaker 1: Good morning. \nSpeaker 2: Hey, you know what, here's a thought. Why don't you stay home from work today and just hang out with me. \nSpeaker 3: Oh, I wish. Look, honey, you have that report to finish, and I gotta go see my lawyer. \nSpeaker 2: I can not believe that I am going out with someone that is getting divorced. I'm such a grown up. \nSpeaker 3: I-I-I gotta go, I gotta go. Okay, not without a kiss. \nSpeaker 2: Well, maybe I won't kiss you, and then you'll have to stay. \nSpeaker 1: Kiss her! Kiss her! \nSpeaker 3: I'll see you later, sweetie. Bye Joey. \nSpeaker 1: B-bye Janice. So when ya' dumpin' her. \nSpeaker 2: Nope, not this time. \nSpeaker 1: Come on, quite yankin' me. \nSpeaker 2: I'm not yanking you. \nSpeaker 1: This is Janice. \nSpeaker 2: Yeah, I know. She makes me happy. \nSpeaker 1: Okay. All right. You look me in the eye and tell me, without blinking, that you're not breaking up with her. No blinking. \nSpeaker 2: I'm not breaking up with her! Speaker 3 is or was dating which Speaker?\n", "labels": "Speaker 2", "task_name": "task907_dialogre_identify_relationships", "task_category": "speaker_relation_classification", "id": "task907-f3bb86cffd1642a888e2cc5b55e2569a"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Can I talk to you for a second?! \nSpeaker 2: Hey, Joey. \nSpeaker 3: Hey. \nSpeaker 1: Come on!! \nSpeaker 4: Why can't we talk in here? With, with, witnesses. \nSpeaker 1: I just got off the phone with my sister. \nSpeaker 2: Ah, which, which one? \nSpeaker 1: Mary-Angela. \nSpeaker 2: Mary-Angela. \nSpeaker 1: Yeah. \nSpeaker 5: Y'know which one was she again? \nSpeaker 1: Why don't you ask Chandler, 'cause he's the one that fooled around with her. She told me you said you could really fall for her. Now is that true? Or are you just gettin' over Janice by groping my sister. \nSpeaker 4: It's gotta be the first one. \nSpeaker 1: Really? That's great! You and my sister, sittin' in a tree. \nSpeaker 4: Yep, I'm in a tree. What is the relationship between \nSpeaker 1 and Mary-Angela?\n", "labels": "1", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-5c013508675a4cb58a936a488d6c473f"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: What are you doing here?! \nSpeaker 2: I-I, came to fill your ice cube trays. \nSpeaker 1: What?! \nSpeaker 2: Umm, okay, okay, look. I took this picture from your fridge. Okay, because I know that this is my Father. Yeah, this is Frank Buffay and you are standing right there next to him. Now, look I deserve to know where I came from. All right? So if you can help me find my Father then you should! Otherwise, you're just mean! So, just tell me the truth! \nSpeaker 1: All right, the man in the picture is Chuck Magioni. \nSpeaker 2: My Father is Chuck Magioni? \nSpeaker 1: No, no, that's just Chuck Magioni, I-I sold him a house last year! And I'm very sorry, but I don't know where your Father is, and that's the truth. \nSpeaker 2: Oh. \nSpeaker 1: But umm, you're right. I think that a person should know where they come from. Wh-which is why I ah, ahh, okay. I'm your mother. \nSpeaker 2: Heh? \nSpeaker 1: Y'know I wanted to tell you yesterday, but I just, I kinda felt all floopy, and... What is the relationship between \nSpeaker 2 and Frank Buffay?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-3d87c48524f344038447c8a2aabe87c1"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Hi, Phoe. \nSpeaker 2: Hi Gram. Whatcha doin'? \nSpeaker 1: Oh, just updating the phonebook. \nSpeaker 2: Um, gram, um, can I see the pictures of my dad again? \nSpeaker 1: Oh. Oh, sure, sure, uh, uh, how come? \nSpeaker 2: Just, you know, to see... um. \nSpeaker 1: Oh, sure, yeah. his is the one of you father in a meadow, and, uh, helping a little boy fly a kite, and here he is at a graduation. . . another graduation. . . another graduation. \nSpeaker 2: OK, is this really my father? \nSpeaker 1: Is it really your fa--I can't... well of course it is. \nSpeaker 2: OK, I smell smoke. Maybe that's 'cause someone's pants are on fire. \nSpeaker 1: Look, I. . . \nSpeaker 2: Ya know, in all the years that we have been grandmother and granddaughter, you have never lied to me. \nSpeaker 1: Alright, that is not your father, that's just a picture of a guy in a frame. \nSpeaker 2: Oh God. \nSpeaker 1: It was your mother's idea. Ya know, she didn't want you to know your real father because it hurt her so much when he left, and, I didn't want to go along with it, but, well then she died and, and it was harder to argue with her. Not impossible, but harder. \nSpeaker 2: Alright, so, what, he's not a famous tree surgeon? And then, I guess, OK, he doesn't live in a hut in Burma where there's no phones? \nSpeaker 1: Last I heard, he was a pharmacist somewhere upstate. \nSpeaker 2: OK, that makes no sense. Why would the villagers worship a pharmacist? \nSpeaker 1: Honey. \nSpeaker 2: Oh. \nSpeaker 1: Anyway, that's all I know. That, and this. This is the real him. \nSpeaker 2: Oh. \nSpeaker 2: Yeah, um, in Albany, can I have the number of Frank Buffay. . . OK, um, in Ithica. . . alright, um, Saratoga. . . Oneonta. Alright, you know what, you shouldn't call youself information. What is the relationship between \nSpeaker 2 and Frank Buffay?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-fbdd50f9c8b141fa9ef0e9b7fc9ae20b"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: And here's little Ben nodding off... \nSpeaker 2: Awww, look at Aunt Monica's little boy! \nSpeaker 3: Oh, look, he's got Ross's haircut! \nSpeaker 4: Oh, let me see! Oh, God, is he just the sweetest thing? You must just want to kiss him all over! \nSpeaker 1: That would be nice. What is the relationship between Ben and \nSpeaker 1?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-d7d11d5132c44bbabe2452a195742fc5"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Hey. \nSpeaker 2: Hey. \nSpeaker 3: Hey. \nSpeaker 1: How long did you think this barbecue was gonna last? \nSpeaker 3: I'm going to China. \nSpeaker 1: Jeez, you say one thing, and... \nSpeaker 2: You're going to China? \nSpeaker 3: Yeah, i-it's for the museum. Someone found a bone, we want the bone, but they don't want us to have the bone, so I'm going over there to try to persuade them to give us the bo-it's-it's a whole big bone thing. Anyway, I'm gonna be gone for like, uh... like a week, so, uh, if you wanna reach me, y-you can't. So here's my itinerary. Um... here's a picture of me... \nSpeaker 1: Oh, let me see! \nSpeaker 3: Could you take it to Carol's every now and then, and show it to Ben, just so he doesn't forget me? \nSpeaker 2: Yeah. \nSpeaker 1: Hi, Ben. I'm your father. I am... the head. Aaaaaahhhh.... Alright, this barbecue is gonna be very fun. What is the relationship between Ben and \nSpeaker 3?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-ebceb4aeda444d329df5aaf24ed3702a"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Oh! \nSpeaker 2: What was that? \nSpeaker 1: Monica knows. \nSpeaker 3: It's this dumb thing that Ross made up `cause he was trying to fool our parents. It's a way of giving the finger, without actually having to give it. I remember I cried the night you made it up, `cause it was the first time that I realized that I was actually cooler than my older brother. What is the relationship between \nSpeaker 3 and \nSpeaker 1?\n", "labels": "1", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-0bc144525d8b461f8c08fbe6a31dd7a7"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Hey! \nSpeaker 2: Hey! Where's Mike? \nSpeaker 1: Oh, he has a gig. I kinda like being married to a rock star, you know. My husband has a gig. \nSpeaker 3: Yeah? Yeah, where is it? \nSpeaker 1: Oh, he's playing organ for a children's roller-skating party. \nSpeaker 3: Rock on! \nSpeaker 1: Wow, this is quite a spread! What is all this stuff? \nSpeaker 2: Well, I thought this would be a great opportunity to use up all the food that I don't want to move to the new house with me! So, enjoy: smoke oyster casserole with a breakfast cereal crust, kidney beans in their own juices, and for dessert, a questionable orange. What is the relationship between \nSpeaker 1 and Mike?\n", "labels": "0", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-6677fe2efdea45cdbda2adb9e3747e6e"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: So, which of this kitchen stuff is mine? \nSpeaker 2: This bottle opener. \nSpeaker 1: And? \nSpeaker 2: And it's a magnet! \nSpeaker 1: Look at that! \nSpeaker 3: How weird is that? Y'know? You're moving in with me and have the one thing I don't have. It's like uh, in a way you-you complete me kitchen. \nSpeaker 1: What?! \nSpeaker 3: You complete me kitchen, matey! \nSpeaker 4: Ross, I know what you're thinking. \nSpeaker 3: What? \nSpeaker 4: That she's gonna move in with you and maybe then she'll fall in love with you and then when she finds out you're already married, she'll just be happy. Y'know? You're just, you're very sad. \nSpeaker 3: Oh...my...God! I-I see what this is! You are in love with Rachel! \nSpeaker 4: What?!! \nSpeaker 3: Of course! It all adds up! I mean you you're obsessed with her. It's always, \"Ross, what are you gonna do about Rachel?\" \"Ross, why-why are you moving in with Rachel?\" \"When are you gonna confess your secret marriage to Rachel?\" You want her! \nSpeaker 4: No! \nSpeaker 3: Uh-oh, saved by the bell. Hello? What is the relationship between \nSpeaker 1 and \nSpeaker 3?\n", "labels": "0", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-81b8492e3afe437cbb4bbdaa8c4c5dc4"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: I tell you one thing, I wouldn't mind having a piece of this sun-dried tomato business. Five years ago, if somebody had said to me, here's a tomato that looks like a prune, I'd say \"get out of my office!\" \nSpeaker 2: Dad, before I was born, did you freak out at all? \nSpeaker 1: I'm not freaking out, I'm just saying, if somebody had come to me with the idea andndash; \nSpeaker 2: Dad, dad, dad, I'm talkin' about the whole uh, baby thing. Did you uh, ever get this sort of... panicky, \"Oh my god I'm gonna be a father\" kind of a thing? \nSpeaker 1: No. Your mother really did the work. I was busy with the business. I wasn't around that much. Is that what this is about? \nSpeaker 2: No, no, Dad, I was just wondering. \nSpeaker 1: 'Cause there's time to make up for that. We can do stuff together. You always wanted to go to that Colonial Williamsburg. How 'bout we do that? \nSpeaker 2: Thanks, Dad, really, I ju... you know, I just, I just needed to know, um... when did you start to feel like a father? \nSpeaker 1: Oh, well, I, I guess it musta been the day after you were born. We were in the hospital room, your mother was asleep, and they brought you in and gave you to me. You were this ugly little red thing, and all of a sudden you grabbed my finger with your whole fist. And you squeezed it, so tight. And that's when I knew. \nSpeaker 1: So you don't wanna go to Williamsburg? \nSpeaker 2: No, we can go to Williamsburg. \nSpeaker 1: Eat your fish. What is the relationship between \nSpeaker 2 and \nSpeaker 1?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-6a59350ba7f84b10a7be3eda7f181ea4"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Wow! You look like... like my mom. \nSpeaker 2: I'm wearing pantyhose! \nSpeaker 1: Great! Come on in! \nSpeaker 2: Oh, thank you! Oh... Oh my God, you're RICH! \nSpeaker 1: No, my parents are rich. \nSpeaker 2: Yeah, so... They gotta die someday. HELLO! \nSpeaker 1: Mom, dad, this is Phoebe. Phoebe, these are my parents: Theodore and Bitsy. \nSpeaker 2:Theodore... Bitsy... What a delight! \nSpeaker 3: It's so nice to finally meet you! \nSpeaker 2: And you... Your home is lovely. \nSpeaker 3: Well thank you, I'll give you a tour later. It's actually three floors. \nSpeaker 2: Holy crap! \nSpeaker 3: Phoebe, why don't you come in the living room and meet our friends? \nSpeaker 2: Oh, try and stop me! \nSpeaker 1: Hey... Wh... What are you doing? \nSpeaker 2:I'm trying to get your parents to like me. \nSpeaker 1: Yeah, I'm sure they will, but you don't have to do this... I'm wanting them to get to know Phoebe, not Phoebe... \nSpeaker 2:Got it! It... It's hard to stop... \nSpeaker 1: Well, come on... \nSpeaker 4: Phoebe, these are our friends, Tom and Sue Angle. \nSpeaker 3: Phoebe, come sit. Tell us a little bit about yourself... So where are you from? \nSpeaker 2:Uhm... Okay, well, all right, uhm... Originally I'm from upstate, but uhm... then my mom killed herself and my stepdad went to prison, so... I just moved to the city where uhm... I actually lived in a burned out Buick LeSabre for a while... which was okay, that was okay, until uhm... I got hepatitis, you know, 'cause this pimp spit in my mouth and... but I... I got over it and uhm... anyway, now I'm uhm... a freelance massage therapist, uhm... which, you know, isn't always steady money but at least I don't pay taxes, huh... So... where does everyone summer? What is the relationship between \nSpeaker 1 and \nSpeaker 4?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-96b326d31eae42d8a727ffee5de35344"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: What are you guys gonna do? \nSpeaker 2: Well, I guess we just find a divorce lawyer? \nSpeaker 3: Well, I think, I think, Ross already has one. Now, this one's free, right? Because you paid for the first two, so the third one's free. \nSpeaker 4: Laugh it up, but the joke's on you. Because we don't need to get divorced, okay? We we're just gonna get an annulment. \nSpeaker 5: An annulment? Ross! I don't think surgery's the answer here. \nSpeaker 6: Oh-oh, that's your thing. \nSpeaker 4: What? \nSpeaker 6: You're thing. You're thing. Y'know? You're the guy who gets divorced. \nSpeaker 7: Oh yeah! \nSpeaker 4: No-no, that's-that's not my thing! I do not love getting divorced! \nSpeaker 6: Yes you do! This is your third divorce! You love divorce so much you're probably gonna marry it! Then it won't work out and you're gonna have to divorce it, divorcing guy. I'm so drunk. What is the relationship between \nSpeaker 4 and \nSpeaker 2?\n", "labels": "0", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-89c2b9048e774cfdb552ffce25f3463d"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1, \nSpeaker 2: Hey!! \nSpeaker 3: There's my boy! Here's my boy! And here's his Barbi. What's ah, what's my boy doing with a Barbi? \nSpeaker 1: He picked it out of the toy store himself, he loves it. \nSpeaker 2: He carries it everywhere, it's like a security blanket, but with ski boots and a kicky beret. \nSpeaker 3: Yeah, it's, it's, it's cute. Why, why, why does he have it, again? \nSpeaker 2: So he's got a doll? So what? Unless you're afraid he's gonna grow up and be in show business. \nSpeaker 1: This doesn't have anything to do with the fact that he is being raised by two women, does it? \nSpeaker 3: You know what it's fine. If you're okay with the Barbi thing, so am I. \nSpeaker 3: Give daddy the Barbi! Ben, give, give me the Barbi. Okay, how 'bout, don't you want to play with the monster truck? No. Okay, oh, oh, how about a Dino-soilder? What is the relationship between Ben and \nSpeaker 3?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-862e0d60020346319604aa90463b39a9"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: I'll be right with you. Okay? Thanks, Wendy. \nSpeaker 2: Oh my God! How cute is the on-call doctor? \nSpeaker 3: Ooh, so cute, that I'm thinking about jamming this pen in my eye. \nSpeaker 4: Dr. Burke will see you know. \nSpeaker 2: Oh no-no-no, not Dr. Burke. Dr. Burke is out of town. The-the on-call doctor will see me now. \nSpeaker 4: Dr. Richard Burke is out of town. Dr. Timothy Burke, his son, will see you now. \nSpeaker 5: Ready? What is the relationship between \nSpeaker 5 and Richard Burke?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-8ce1772451c54f39b418d764dbeb56ad"}, {"text": "Definition: You are given a dialog between 2 or more individuals.  The dialog will include information as to the relationship between 2 of the participants.  At the end, you will be asked to provide an answer as to the relationship of those 2 participants.  In this scenario, '0' will represent a spousal relationship, '1' will represent siblings, and '2' will represent a child/parent relationship.\nInput: Speaker 1: Y'know dad, Chandler is one of Ross's very best friends! \nSpeaker 2: Yeah, Ross sure is a great guy, y'know I've always felt that how a young man turns out is a reflection on his father. \nSpeaker 3: I always thought that too. Tell me, what does your father do? \nSpeaker 2: He's the headliner of a gay burlesque show. What is the relationship between \nSpeaker 1 and \nSpeaker 3?\n", "labels": "2", "task_name": "task908_dialogre_identify_familial_relationships", "task_category": "speaker_relation_classification", "id": "task908-2411023e5bdb4ddb81d392986c850427"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: New York (CNN) -- More than 80 Michael Jackson collectibles -- including the late pop star's famous rhinestone-studded glove from a 1983 performance -- were auctioned off Saturday, reaping a total $2 million. \n\nProfits from the auction at the Hard Rock Cafe in New York's Times Square crushed pre-sale expectations of only $120,000 in sales. \n\nThe highly prized memorabilia, which included items spanning the many stages of Jackson's career, came from more than 30 fans, associates and family members, who contacted Julien's Auctions to sell their gifts and mementos of the singer. \n\nJackson's flashy glove was the big-ticket item of the night, fetching $420,000 from a buyer in Hong Kong, China. Jackson wore the glove at a 1983 performance during \"Motown 25,\" an NBC special where he debuted his revolutionary moonwalk. \n\nFellow Motown star Walter \"Clyde\" Orange of the Commodores, who also performed in the special 26 years ago, said he asked for Jackson's autograph at the time, but Jackson gave him the glove instead. \n\n\"The legacy that [Jackson] left behind is bigger than life for me,\" Orange said. \"I hope that through that glove people can see what he was trying to say in his music and what he said in his music.\" \n\nOrange said he plans to give a portion of the proceeds to charity. \n\nHoffman Ma, who bought the glove on behalf of Ponte 16 Resort in Macau, paid a 25 percent buyer's premium, which was tacked onto all final sales over $50,000. Winners of items less than $50,000 paid a 20 percent premium. \n", "labels": "How much did they expected?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-43f0261f46a6484a8713d212dd734357"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: New York (CNN) -- More than 80 Michael Jackson collectibles -- including the late pop star's famous rhinestone-studded glove from a 1983 performance -- were auctioned off Saturday, reaping a total $2 million. \n\nProfits from the auction at the Hard Rock Cafe in New York's Times Square crushed pre-sale expectations of only $120,000 in sales. \n\nThe highly prized memorabilia, which included items spanning the many stages of Jackson's career, came from more than 30 fans, associates and family members, who contacted Julien's Auctions to sell their gifts and mementos of the singer. \n\nJackson's flashy glove was the big-ticket item of the night, fetching $420,000 from a buyer in Hong Kong, China. Jackson wore the glove at a 1983 performance during \"Motown 25,\" an NBC special where he debuted his revolutionary moonwalk. \n\nFellow Motown star Walter \"Clyde\" Orange of the Commodores, who also performed in the special 26 years ago, said he asked for Jackson's autograph at the time, but Jackson gave him the glove instead. \n\n\"The legacy that [Jackson] left behind is bigger than life for me,\" Orange said. \"I hope that through that glove people can see what he was trying to say in his music and what he said in his music.\" \n\nOrange said he plans to give a portion of the proceeds to charity. \n\nHoffman Ma, who bought the glove on behalf of Ponte 16 Resort in Macau, paid a 25 percent buyer's premium, which was tacked onto all final sales over $50,000. Winners of items less than $50,000 paid a 20 percent premium. \n", "labels": "Where was the buyer of the glove from?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-43f0261f46a6484a8713d212dd734357"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER VII. THE DAUGHTER OF WITHERSTEEN \n\n\"Lassiter, will you be my rider?\" Jane had asked him. \n\n\"I reckon so,\" he had replied. \n\nFew as the words were, Jane knew how infinitely much they implied. She wanted him to take charge of her cattle and horse and ranges, and save them if that were possible. Yet, though she could not have spoken aloud all she meant, she was perfectly honest with herself. Whatever the price to be paid, she must keep Lassiter close to her; she must shield from him the man who had led Milly Erne to Cottonwoods. In her fear she so controlled her mind that she did not whisper this Mormon's name to her own soul, she did not even think it. Besides, beyond this thing she regarded as a sacred obligation thrust upon her, was the need of a helper, of a friend, of a champion in this critical time. If she could rule this gun-man, as Venters had called him, if she could even keep him from shedding blood, what strategy to play his flame and his presence against the game of oppression her churchmen were waging against her? Never would she forget the effect on Tull and his men when Venters shouted Lassiter's name. If she could not wholly control Lassiter, then what she could do might put off the fatal day. \n\nOne of her safe racers was a dark bay, and she called him Bells because of the way he struck his iron shoes on the stones. When Jerd led out this slender, beautifully built horse Lassiter suddenly became all eyes. A rider's love of a thoroughbred shone in them. Round and round Bells he walked, plainly weakening all the time in his determination not to take one of Jane's favorite racers. \n", "labels": "Did he agree?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-2923f30f26104bf092bb2769ae6e4772"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER VII. THE DAUGHTER OF WITHERSTEEN \n\n\"Lassiter, will you be my rider?\" Jane had asked him. \n\n\"I reckon so,\" he had replied. \n\nFew as the words were, Jane knew how infinitely much they implied. She wanted him to take charge of her cattle and horse and ranges, and save them if that were possible. Yet, though she could not have spoken aloud all she meant, she was perfectly honest with herself. Whatever the price to be paid, she must keep Lassiter close to her; she must shield from him the man who had led Milly Erne to Cottonwoods. In her fear she so controlled her mind that she did not whisper this Mormon's name to her own soul, she did not even think it. Besides, beyond this thing she regarded as a sacred obligation thrust upon her, was the need of a helper, of a friend, of a champion in this critical time. If she could rule this gun-man, as Venters had called him, if she could even keep him from shedding blood, what strategy to play his flame and his presence against the game of oppression her churchmen were waging against her? Never would she forget the effect on Tull and his men when Venters shouted Lassiter's name. If she could not wholly control Lassiter, then what she could do might put off the fatal day. \n\nOne of her safe racers was a dark bay, and she called him Bells because of the way he struck his iron shoes on the stones. When Jerd led out this slender, beautifully built horse Lassiter suddenly became all eyes. A rider's love of a thoroughbred shone in them. Round and round Bells he walked, plainly weakening all the time in his determination not to take one of Jane's favorite racers. \n", "labels": "Why did she ask him?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-2923f30f26104bf092bb2769ae6e4772"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Have you ever been to some big cities in the world? The information below will be helpful to you. Budapest For many centuries, Budapest was two cities, with Buda on the west side of the river Danube and Pest on the east side. Budapest became one city in 1872, and it has been the capital city of Hungary for about eighty years. The population of Budapest is about three million, and the city is a very popular place for tourists. Visitors like to take boat rides along the Danube. Budapest is also known for its exciting nightlife. The best time to visit is summer since Budapest is very cold in winter. Los Angeles Los Angeles was founded in 1781. With 3.5 million people it is now the biggest city in California and the second largest city in the United States. It is famous for its modern highways, its movie stars, and its smog. When the city is really smoggy, you can't see the near-by Mountains. The weather is usually dry and warm. Visitors like to go to the film studios and to drive along Hollywood Street. There are many good beaches near the city, and Los Angeles is also close to Disneyland. Taipei Since the founding of Taipei in the 18th century, the city has grown to a population of 2.3 million. Taipei is an exciting city, but the weather is humid and not always pleasant. It's also a very busy city, and the streets are always full of people. There is an excellent museum that many people visit. Taipei is quite an expensive city, but not more expensive than some neighboring cities such as Hong Kong and Tokyo. So more and more travelers go to Taipei to shop.\n", "labels": "What was one called?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9026088ced0346ebae3ba0fc647f2ab1"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Officials of the Chicago Transit Authority said they were investigating. The child, Nicole Hobson, was being taken by her mother to Children's Memorial Hospital about 11 P. M., Wednesday to check her recently inserted pacemaker. \n\nThe child was stricken about a mile from the hospital. Her mother, May Hobson, 40, said, \"I told the bus driver that my baby had just had heart operation and that she was having a heart failure. He said he couldn't go through the traffic.\" \n\nTed Garretson, 28, a passenger who had tried to bring back Nicole's life, said the driver did nothing to help and stopped once to pick up more passengers. \n\nWhen the driver reached a corner where he was to make a turn, a block from the hospital, he told Mrs. Hobson to get off, she said. \n\nA transit spokesman said the driver should have made radio call to the control center for help.\n", "labels": "who tried to bring Nicole back to life?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-4a1d2cd8a65841e48f0fec0d939c5959"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Local businessmen are increasingly facing competition from online retailers. Larry Pollock, owner of Camera Co/Op on South Congress, said he has been dealing with this kind of problem for years, even before the Internet. The struggle began with mail-order catalogues , which are similar to online retailers in that they have few employees to pay, no sales tax fees and no business venue to lease and manage. \n\n\"Their overhead is lower, but they don't offer a service like we do,\" Pollock said. \n\nPollock, however, said providing a valuable service to customers does not always guarantee continued sales. \n\n\"We spend 30 minutes to an hour with somebody and they go home and buy it on line,\" he said. \n\nAccording to the state comptroller's office, online shopping is developing at a more rapid rate than traditional businesses. \n\nIn spite of how fair or unfair online shopping may be to the local businessmen, consumers will continue to turn to the Internet for its variety and accessibility, said Mitch Wilson, an online shopper. \"You have a larger selection and it's easier to compare prices.\" \n\nWilson said he built his personal computer and paid a third of the price by shopping on line. \n\n\"Before the Internet, I would have had to go and buy an assembled computer from somebody like Dell,\" he said. \"Before I started shopping on line I could never find all the pieces I wanted. No single store had everything needed, so shopping on line saved me from having to buy from Dell.\" \n\nJanny Brazeal, a psychology freshman, said online shopping is too impersonal. \n\n\"'d rather see it in person, touch it, know that I'm getting it,\" she said. \n\nBrazeal also said she would not give out her credit card number or other personal information on line no matter how safe the site claims it is.\n", "labels": "What is a valuable service?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9069410977a24ad1939401ac99d23563"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Local businessmen are increasingly facing competition from online retailers. Larry Pollock, owner of Camera Co/Op on South Congress, said he has been dealing with this kind of problem for years, even before the Internet. The struggle began with mail-order catalogues , which are similar to online retailers in that they have few employees to pay, no sales tax fees and no business venue to lease and manage. \n\n\"Their overhead is lower, but they don't offer a service like we do,\" Pollock said. \n\nPollock, however, said providing a valuable service to customers does not always guarantee continued sales. \n\n\"We spend 30 minutes to an hour with somebody and they go home and buy it on line,\" he said. \n\nAccording to the state comptroller's office, online shopping is developing at a more rapid rate than traditional businesses. \n\nIn spite of how fair or unfair online shopping may be to the local businessmen, consumers will continue to turn to the Internet for its variety and accessibility, said Mitch Wilson, an online shopper. \"You have a larger selection and it's easier to compare prices.\" \n\nWilson said he built his personal computer and paid a third of the price by shopping on line. \n\n\"Before the Internet, I would have had to go and buy an assembled computer from somebody like Dell,\" he said. \"Before I started shopping on line I could never find all the pieces I wanted. No single store had everything needed, so shopping on line saved me from having to buy from Dell.\" \n\nJanny Brazeal, a psychology freshman, said online shopping is too impersonal. \n\n\"'d rather see it in person, touch it, know that I'm getting it,\" she said. \n\nBrazeal also said she would not give out her credit card number or other personal information on line no matter how safe the site claims it is.\n", "labels": "Is is happening quickly?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9069410977a24ad1939401ac99d23563"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Mr. Laurence was not allowed to see Beth, and Meg felt unhappy writing letters to her mother saying nothing about Beth's illness. Jo nursed Beth night and day, but the time came when Beth did not know her and called for her mother. Jo was frightened, and Meg begged to be allowed to write the truth, but Hannah said there was no danger yet. Then a letter came saying that Mr. March was worse and could not think of coming home for a long time. How dark the days seemed. How sad and lonely. The sisters worked and waited as the shadow of death lay over the once happy home. It was then that Meg realized how rich she had been in the things which really mattered--love, peace, good health. And Jo, watching her little sister, thought about how unselfish Beth always was--living for others and trying to make home a happy place for all who came there. Amy, sad and lonely at Aunt March's house, just wanted to come home so that she could do something to help Beth. On the first day of December, the doctor came in the morning. He looked at Beth, then said quietly, 'If Mrs. March can leave her husband, I think she should come home now.' Jo threw on her coat and ran out into the snow to send a telegram. When she arrived back, Laurie came with a letter saying that Mr. March was getting better again. This was good news, but Jo's face was so unhappy that Laurie asked, 'What is it? Is Beth worse?' 'I've sent for Mother,' said Jo, beginning to cry. 'Beth doesn't know us any more.' Laurie held her hand and whispered, 'I'm here, Jo. Hold on to me. Your mother will be here soon, and then everything will be all right.'\n", "labels": "Who was not allowed to see Beth?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d3ef7e414baf47158f007bd7e0f6079f"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Mr. Laurence was not allowed to see Beth, and Meg felt unhappy writing letters to her mother saying nothing about Beth's illness. Jo nursed Beth night and day, but the time came when Beth did not know her and called for her mother. Jo was frightened, and Meg begged to be allowed to write the truth, but Hannah said there was no danger yet. Then a letter came saying that Mr. March was worse and could not think of coming home for a long time. How dark the days seemed. How sad and lonely. The sisters worked and waited as the shadow of death lay over the once happy home. It was then that Meg realized how rich she had been in the things which really mattered--love, peace, good health. And Jo, watching her little sister, thought about how unselfish Beth always was--living for others and trying to make home a happy place for all who came there. Amy, sad and lonely at Aunt March's house, just wanted to come home so that she could do something to help Beth. On the first day of December, the doctor came in the morning. He looked at Beth, then said quietly, 'If Mrs. March can leave her husband, I think she should come home now.' Jo threw on her coat and ran out into the snow to send a telegram. When she arrived back, Laurie came with a letter saying that Mr. March was getting better again. This was good news, but Jo's face was so unhappy that Laurie asked, 'What is it? Is Beth worse?' 'I've sent for Mother,' said Jo, beginning to cry. 'Beth doesn't know us any more.' Laurie held her hand and whispered, 'I'm here, Jo. Hold on to me. Your mother will be here soon, and then everything will be all right.'\n", "labels": "Who was taking care of Beth?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d3ef7e414baf47158f007bd7e0f6079f"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Once an Englishman named Jack Brown went to Russia for a holiday. He stayed there for several months and then came home again. Some of his friends visited him a few days after he got back. \"I had a very dangerous trip while I was in Russia,\" Jack said to them. \"I wanted to see a friend of mine in the country and the bad weather made me very late. So I was still traveling through a forest in a sleigh when the sun went down. It was a long way from my friend's house when about twenty wolves began to follow my sleigh. It was very dark in the forest. There was thick snow on the ground. It was cold, and there were no houses for miles and miles. First I heard the wolves. The noise was terrible! The horses heard them, too. They were frightened and began running faster. Then I saw long, gray forms among the trees, and soon the wolves were near us. They were running very fast, and they didn't seem to get tired like the horses.\" \"What did you do?\" one of Jack's friends asked. \"When the wolves got very near,\" Jack answered, \"I put up my gun and shot the first wolf. The sleigh was moving about, but I hit the animal and killed it. Then all the other wolves stopped and ate it, so our sleigh got away from them for a few minutes.\" \"Then they finished their meal, and I heard them coming again. The moon was shining brightly on the snow now, and after a few minutes I saw them running among the trees once more. They came nearer again, and then I shot another of them, and the others stopped once more to eat it.\" \"The same thing happened again and again, and my horses became more and more tired and ran slower and slower until, after about two hours, only one wolf was still alive and following us.\" \"Wasn't it too fat to run?\" one of his friends asked.\n", "labels": "What did the other wolves do then?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-0254955e4729400bbe0a7cce7c624e16"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: A Chinese actor's divorce from his wife, over her alleged extramarital affair, has social media buzzing, with posts about the subject gaining over five billion views. \n\nWang Baoqiang announced online on Sunday that he was divorcing his wife, Ma Rong, and sacking his agent, Song Zhe. He alleged that his marriage broke down after his wife had an affair with his agent, and that she had also transferred the couple's joint assets. Ma has hit back at Wang, accusing him of abandoning their family. \n\nThe topic has sparked a debate about relationships and divorce. It seems Wang's situation has struck a chord with many - which could explain the number of views, which are high even by Chinese standards. \n\nThe divorce quickly became a top trending topic in China. According to micro blog Sina Weibo, posts with the hashtag \"Wang BaoQiang Divorce\" have been viewed over five billion times. Chinese netizens seem to have rallied around Wang, with topics like \"Wang Don't Cry\" \"Wang We Support You\", quickly trending after news of the divorce spread. Statistics by Weibo showed that 47% of netizens' posts condemned Ma for her affair, saying it had shattered her family. \n\nBut why are they so interested? what is it about this one that's got all of China ruffled up? \n\nSome people feel that this divorce seems to fit a certain trope - of a beautiful but ordinary girl marrying a rich but less good-looking man. It is not uncommon to hear the belief that a couple has to \"match\" at every level - be it in status, or physical appearance - for a relationship to work out. Wang and Ma's split has many people wondering if uneven matches are unlikely to succeed. \n\nA lot of social media discussion has also centred around divorce, and in particular how people can protect themselves. Wang has alleged that his wife transferred and hid some of the couple's assets. They're a wealthy couple - their assets, according to Chinese media, include nine flats, a BMW car and various luxury goods. As a result, people are debating the importance of protecting individual assets, even after marriage.\n", "labels": "What percent of the Chinese population are mad at Ma?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d9ed8b4ea1694449836e62ee9b5bb0c4"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Once upon a time in Greece, there lived a young man called Narcissus. He lived in a small village on the sea and was famous in the land because he was quite handsome. Villagers would turn up on the streets to stare at the beautiful child . When he grew up , people always said \"How handsome Narcissus is!\" Villagers thought that Narcissus could not be any more handsome than he already was. But as years passed Narcissus became a teenager. His beauty grew and became so great that he was known all over country of Greece. As he grew ,Narcissus was very proud of his good-looking face. \"Oh! You are so handsome ,Narcissus!\" Narcissus said one day as he looked into a pool.\"There's nobody more handsome in the whole world ! I'd love to kiss you . And that's just what I'll do!\" He leaned closer to the water . Suddenly he lost his balance and fell into the pool . Narcissus tried to reach the bank of the pool, but he could not swim and he drowned.\n", "labels": "Did somebody did?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-1b267e75b9ee49c997e67f536bd7d636"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Once upon a time in Greece, there lived a young man called Narcissus. He lived in a small village on the sea and was famous in the land because he was quite handsome. Villagers would turn up on the streets to stare at the beautiful child . When he grew up , people always said \"How handsome Narcissus is!\" Villagers thought that Narcissus could not be any more handsome than he already was. But as years passed Narcissus became a teenager. His beauty grew and became so great that he was known all over country of Greece. As he grew ,Narcissus was very proud of his good-looking face. \"Oh! You are so handsome ,Narcissus!\" Narcissus said one day as he looked into a pool.\"There's nobody more handsome in the whole world ! I'd love to kiss you . And that's just what I'll do!\" He leaned closer to the water . Suddenly he lost his balance and fell into the pool . Narcissus tried to reach the bank of the pool, but he could not swim and he drowned.\n", "labels": "Was somebody conceited?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-1b267e75b9ee49c997e67f536bd7d636"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Czechoslovakia or Czecho-Slovakia (; Czech and , \"\u010cesko-Slovensko\") was a sovereign state in Central Europe that existed from October 1918, when it declared its independence from the Austro-Hungarian Empire, until its peaceful dissolution into the Czech Republic and Slovakia on 1 January 1993. \n\nFrom 1939 to 1945, following its forced division and partial incorporation into Nazi Germany, the state did not \"de facto\" exist but its government-in-exile continued to operate. \n\nFrom 1948 to 1990, Czechoslovakia was part of the Soviet bloc with a command economy. Its economic status was formalized in membership of Comecon from 1949, and its defense status in the Warsaw Pact of May 1955. A period of political liberalization in 1968, known as the Prague Spring, was forcibly ended when the Soviet Union, assisted by several other Warsaw Pact countries, invaded. In 1989, as Marxist\u2013Leninist governments and communism were ending all over Europe, Czechoslovaks peacefully deposed their government in the Velvet Revolution; state price controls were removed after a period of preparation. In 1993, Czechoslovakia split into the two sovereign states of the Czech Republic and Slovakia. \n\n\n\nThe country was of generally irregular terrain. The western area was part of the north-central European uplands. The eastern region was composed of the northern reaches of the Carpathian Mountains and lands of the Danube River basin.\n", "labels": "What were the two states?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-6d2af98113a842769111fbde530870e9"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: A culture's values can be mirrored by its humor. Humor has been evaluated by many great minds such as Thomas Hobbes, who, in \"On Nature\", disliked humor, \"Laughter is nothing else but sudden glory arising from sudden thought of feeling far better than others.\" He thought humor to be a negative quality of human narrow-mindedness. \n\nHowever, Mordechai Gordon, Ph. D of Education, insists, \"Humor allows us to view the world from an angle that is amusing rather than serious.\" I agree with Gordon. Learning to look at the world through humor is important. \n\nIn the United States, every four years an election occurs. Without humor as a way to express their feelings, how else would Americans keep from clawing their eyes out and going the way of lemming? Television shows like \"The Daily Show\" have become important parts of American culture. They are mothering the masses by metaphorically airplane-ing politics into our mouths. They make politics fun. \n\nOf course, politics is only one type of humor. Social humor helps people through the twists and turns of the human condition. American pop culture promotes an unhealthy self- image. On the topic of self-image, Hari Kondabolu stands out. He has a joke about the popular musical group \"The Pussycat Dolls\", describing their hit song \"Don't Cha\" as a negative representation of women. He points out an obvious offence in American culture. \n\nA study from Loyola University of Maryland has shown that humor is one determining factor for selecting a mating partner. Amongst other things, mates look for an outstanding funny bone in a potential partner. \n\nOf course, humor is not always used for good purposes. Humor can be linked to vulgarity and racism, but, like everything else, it has potential to unite human beings by allowing us to laugh at ourselves, our failures and our connection with one another. \n\nThough 1ife may seem tough and depressing at times, all I have to do is look in the mirror at my increased wrinkles to know that there is a comedy out there that even Chaplin wasn't aware of. \n\nWith that in mind, remember to laugh with humanity and sometimes at humanity.\n", "labels": "Who didn't like humor?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-950f98d511be4f1b8c910d9d0a2754c7"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: A culture's values can be mirrored by its humor. Humor has been evaluated by many great minds such as Thomas Hobbes, who, in \"On Nature\", disliked humor, \"Laughter is nothing else but sudden glory arising from sudden thought of feeling far better than others.\" He thought humor to be a negative quality of human narrow-mindedness. \n\nHowever, Mordechai Gordon, Ph. D of Education, insists, \"Humor allows us to view the world from an angle that is amusing rather than serious.\" I agree with Gordon. Learning to look at the world through humor is important. \n\nIn the United States, every four years an election occurs. Without humor as a way to express their feelings, how else would Americans keep from clawing their eyes out and going the way of lemming? Television shows like \"The Daily Show\" have become important parts of American culture. They are mothering the masses by metaphorically airplane-ing politics into our mouths. They make politics fun. \n\nOf course, politics is only one type of humor. Social humor helps people through the twists and turns of the human condition. American pop culture promotes an unhealthy self- image. On the topic of self-image, Hari Kondabolu stands out. He has a joke about the popular musical group \"The Pussycat Dolls\", describing their hit song \"Don't Cha\" as a negative representation of women. He points out an obvious offence in American culture. \n\nA study from Loyola University of Maryland has shown that humor is one determining factor for selecting a mating partner. Amongst other things, mates look for an outstanding funny bone in a potential partner. \n\nOf course, humor is not always used for good purposes. Humor can be linked to vulgarity and racism, but, like everything else, it has potential to unite human beings by allowing us to laugh at ourselves, our failures and our connection with one another. \n\nThough 1ife may seem tough and depressing at times, all I have to do is look in the mirror at my increased wrinkles to know that there is a comedy out there that even Chaplin wasn't aware of. \n\nWith that in mind, remember to laugh with humanity and sometimes at humanity.\n", "labels": "What did he think it was?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-950f98d511be4f1b8c910d9d0a2754c7"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Wales is a country that is part of the United Kingdom and the island of Great Britain. It is bordered by England to the east, the Irish Sea to the north and west, and the Bristol Channel to the south. It had a population in 2011 of 3,063,456 and has a total area of . Wales has over of coastline and is largely mountainous, with its higher peaks in the north and central areas, including Snowdon (), its highest summit. The country lies within the north temperate zone and has a changeable, maritime climate. \n\nWelsh national identity emerged among the Celtic Britons after the Roman withdrawal from Britain in the 5th century, and Wales is regarded as one of the modern Celtic nations. Llywelyn ap Gruffudd's death in 1282 marked the completion of Edward I of England's conquest of Wales, though Owain Glynd\u0175r briefly restored independence to Wales in the early 15th century. The whole of Wales was annexed by England and incorporated within the English legal system under the Laws in Wales Acts 1535\u20131542. Distinctive Welsh politics developed in the 19th century. Welsh Liberalism, exemplified in the early 20th century by Lloyd George, was displaced by the growth of socialism and the Labour Party. Welsh national feeling grew over the century; \"Plaid Cymru\" was formed in 1925 and the Welsh Language Society in 1962. Established under the Government of Wales Act 1998, the National Assembly for Wales holds responsibility for a range of .\n", "labels": "When did a specific identy emerge?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9f5e703e4e5f4ad89a0abb779babcb79"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Wales is a country that is part of the United Kingdom and the island of Great Britain. It is bordered by England to the east, the Irish Sea to the north and west, and the Bristol Channel to the south. It had a population in 2011 of 3,063,456 and has a total area of . Wales has over of coastline and is largely mountainous, with its higher peaks in the north and central areas, including Snowdon (), its highest summit. The country lies within the north temperate zone and has a changeable, maritime climate. \n\nWelsh national identity emerged among the Celtic Britons after the Roman withdrawal from Britain in the 5th century, and Wales is regarded as one of the modern Celtic nations. Llywelyn ap Gruffudd's death in 1282 marked the completion of Edward I of England's conquest of Wales, though Owain Glynd\u0175r briefly restored independence to Wales in the early 15th century. The whole of Wales was annexed by England and incorporated within the English legal system under the Laws in Wales Acts 1535\u20131542. Distinctive Welsh politics developed in the 19th century. Welsh Liberalism, exemplified in the early 20th century by Lloyd George, was displaced by the growth of socialism and the Labour Party. Welsh national feeling grew over the century; \"Plaid Cymru\" was formed in 1925 and the Welsh Language Society in 1962. Established under the Government of Wales Act 1998, the National Assembly for Wales holds responsibility for a range of .\n", "labels": "Is it a country?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9f5e703e4e5f4ad89a0abb779babcb79"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- Lewis Hamilton extended his Formula One drivers' championship lead after finishing second behind Red Bull's Mark Webber at the British Grand Prix. \n\nWorld champion Jenson Button, who narrowly missed out on his first podium finish at Silverstone after coming fourth, still trails McLaren teammate Hamilton in second. \n\nThird-placed Webber stormed back into title contention after winning his third race of the season. The Australian leapfroged fellow Red Bull driver Sebastian Vettel, who is 24 points adrift of Hamilton in fourth. \n\nMcLaren also lead Red Bull by 29 points at the top of the constructors' championship. \n\nFerrari's Fernando Alonso stayed fifth overall but lost ground after earning no points, ending the race in 14th after being given a drive-through penalty for illegally overtaking Robert Kubica of Renault off the track. \n\nNico Rosberg of Germany continues to outperform his Mercedes teammate Michael Schumacher, recording his third podium finish this season to replace Kubica in sixth. \n\nDrivers' Championship (after 10 rounds): \n\n1. Lewis Hamilton (GB) McLaren 145 points \n\n2. Jenson Button (GB) McLaren 133 \n\n3. Mark Webber (Aus) Red Bull 128 \n\n4. Sebastian Vettel (Ger) Red Bull 121 \n\n5. Fernando Alonso (Sp) Ferrari 98 \n\n6. Nico Rosberg (Ger) Mercedes GP 90 Constructors' Championship: \n\n1. McLaren 278 points \n\n2. Red Bull 249 \n\n3. Ferrari 165 \n\n4. Mercedes GP 126 \n\n5. Renault 89 \n\n6. Force India 47 \n\n\n", "labels": "How many races has he won this season?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-20398b7523674f69af7d4956e546a4cf"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXIV. \n\nPEGGY HAS REVENGE. \n\nJoe Wegg made a rapid recovery, his strength returning under the influence of pleasant surroundings and frequent visits from Ethel and Uncle John's three nieces. Not a word was hinted to either the invalid or the school teacher regarding the inquiries Mr. Merrick was making about the deed to the Bogue timber lands, which, if found, would make the young couple independent. Joe was planning to exploit a new patent as soon as he could earn enough to get it introduced, and Ethel exhibited a sublime confidence in the boy's ability that rendered all question of money insignificant. \n\nJoe's sudden appearance in the land of his birth and his generally smashed up condition were a nine days' wonder in Millville. The gossips wanted to know all the whys and wherefores, but the boy kept his room in the hotel, or only walked out when accompanied by Ethel or one of the three nieces. Sometimes they took him to ride, as he grew better, and the fact that Joe \"were hand an' glove wi' the nabobs\" lent him a distinction he had never before possessed. \n\nMcNutt, always busy over somebody else's affairs, was very curious to know what had caused the accident Joe had suffered. Notwithstanding the little affair of the letter, in which he had not appeared with especial credit, Peggy made an effort to interview the young man that resulted in his complete discomfiture. But that did not deter him from indulging in various vivid speculations about Joe Wegg, which the simple villagers listened to with attention. For one thing, he confided to \"the boys\" at the store that, in his opinion, the man who had murdered Cap'n Wegg had tried to murder his son also, and it wasn't likely Joe could manage to escape him a second time. Another tale evolved from Peggy's fertile imagination was that Joe, being about to starve to death in the city, had turned burglar and been shot in the arm in an attempt at housebreaking. \n", "labels": "What did he want to do?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9a3e1e21cdd64390a9bdbeedfb8fedb1"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Angie went to the library with her mother. First she had to turn in the books she was returning at the return desk. They said hello to the man there. He took their books. Then they went into the adult reading room. Angie sat in a brown chair at the table. She made a drawing of her mother. Her mother found a large red book. Then they went to the Mystery section. Angie sat in a blue chair. She drew a picture of her brother. Her mother found the book. It was a green book. Finally it was time to go to the children's room. It was Story Hour. Miss Hudson was there to read to all the children. She read a book about friendship. After the story Angie sat in the red chair and began drawing. They were drawing pictures of friends. Angie drew a picture of her best friend Lilly. Miss Hudson hung the pictures on the wall. Then Angie and her mother picked out 8 books to read at home. They checked the books out and went home.\n", "labels": "what color was it?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d469bd615eb142cdb674af72ea9cf04c"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Baghdad, Iraq (CNN) -- As violence continues to wrack Iraq, another ethnic slaughter may be in the making by Sunni extremists from ISIS. \n\nISIS fighters have besieged the ethnic Turkmen Shiite town of Amerli in the north for two months, and its fewer than 20,000 residents are without power and running out of food, water and medical supplies. \n\n\"The situation of the people in Amerli is desperate and demands immediate action to prevent the possible massacre of its citizens,\" said Nickolay Mladenov, the U.N. secretary-general's special representative for Iraq. \n\nHe said the suffering was \"unspeakable\" and demanded that the Shiite majority Iraqi government \"relieve the siege\" on Amerli. \n\nSmall town fights ISIS \n\nAbout 5,000 families live in Amerli, which has been under siege for 70 days, according to Dr. Ali Albayati, head of the Turkmen Saving Foundation. He told CNN the town is running without electricity, is out of medicine and can only turn to wells for water. \n\nNearly three dozen villages surrounding Amerli are already under ISIS control, Albayati said. The people of Amerli are relying on the Iraqi government to take them out by helicopter or support them with food drops, Albayati said. In the past 10 days, he added, only one flight has delivered food. \n\nSurrounded on four sides, the 17,400 residents have had to defend themselves with only the help of local police, said Masrwr Aswad of Iraq's Human Rights Commission. \n\nTheir situation echoes the ordeal of Iraq's ethnic Yazidis, whose plight after they were forced to flee into the mountains to escape militants ISIS triggered U.S. aid drops and the first U.S. airstrikes against ISIS. \n", "labels": "How many people reside there?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-736b740baf484b0aaad65c5694db5ec7"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: It was finally summer vacation, and Josh was excited to go to his favorite place. He was heading to Florida, to visit his Grandma and Grandpa. Josh spends every summer there, and this summer would be no different! In the mornings, Josh and Grandma would plant cucumbers, tomatoes, and carrots in the ground. After they would be planted, they would water and weed the garden every day. In the afternoons, Grandpa would take Josh out on the ocean in his sailboat which was named \"Sea girl.\" Josh loved \"Sea girl\" and his favorite part was smelling the salty ocean air. Sometimes Josh and Grandpa would go to a beach and make sandcastles, or start digging until they found buried sea shells or other treasures. At night, Grandma and Grandpa would make dinner and they would eat outside by the pool. On special nights, Josh got to get ice cream for dessert. A lot of times, Grandma made dinner dishes that included the vegetables Josh and Grandma were growing. It was his favorite time of year. Josh couldn't wait to leave tomorrow morning!\n", "labels": "Who took josh on the sailboat?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-91177241c5c84d3aaaa63b9e36f0146c"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Maurice Mountain is a retired lawyer in Washington, D.C. He developed a prototype for a device he calls the Presto Emergency Boat Ladder. His invention is a small folding ladder that attaches to the side of a boat to help people who fall into the water. Mr. Mountain plans to mass-produce his boat ladder. \n\nHe created his invention at a workshop called TechShop. Mr. Mountain says, \"I think it encourages innovation. I think people who probably have had ideas rolling around in the back of their minds for years but have never had the opportunity to actually put them into production or even experiment with them would find this place wonderful. Members of TechShop use high-tech equipment to develop and produce ideas they have for inventions.\" Isabella Musachio manages a TechShop in Arlington, Virginia. She says the shop has many different kinds of equipment. \n\n\"TechShop is a do-it-yourself maker space. So when you come in we have all these different areas of the shop, and we have a metal shop, wood shop, lasers, 3D printers, electronics. I mean, we have so many different areas and we have all the equipment that is availahle to anybody above the age of 12.\" \n\nMembership costs for TechShop start at just over $ 100 per month. Members are able to use costly machines including 3D modeling tools and laser cutters. Isabella Musachio says TechShop helps its members build their dreams. \n\n\"Our motto is 'build your dreams here' because you can really come in with just an idea, and then with the help of TechShop make that leap from an idea to building your project o, your prototype or even your business.\" \n\nJim Newton is the founder of TechShop. He first introduced the idea for the technology workshops at an arts and sciences event called Maker Faire in San Mateo, California in 2006. His idea attracted hundreds of members during that event, Now, there are eight TechShop locations in the U. S. In all, there are more than 6,000 members. Two more-TechShop locations in the cities of St. Louis and Look Angeles will be set up.\n", "labels": "Is he an inventor by trade?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-b215efc4bd114c719993456d76399fbd"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Anna's parents told her they were going to have a new baby brother. She had never had a brother before. She was not sure what to think about it. \n\n\"What if he cries?\" asked Anna. \n\n\"If he cries we hold him until he is quiet,\" said Anna's dad. \n\n\"What if he makes a mess in his diaper?\" asked Anna. \n\n\"Diapers smell but we clean them up,\" said Anna's mom. \n\nAnna thought about having a baby brother. Her mom and dad would take care of him. They bought a high chair for him to eat in. They brought out her old crib for him to sleep in. What could she do to help? Anna wanted to help the baby play. She thought it would be fun to play with him. Anna saved up her money. She had two whole dollars. She went to the store to pick out a present for the baby. She bought a rattle. It cost all the money she had, but Anna was happy. She could give a gift to the new baby.\n", "labels": "Who told Anna something?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-7496f2545a3f44cc9485bdbb110c6668"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXVII \n\nA fortnight afterwards Trent rode into Attra, pale, gaunt, and hollow-eyed. The whole history of those days would never be known by another man! Upon Trent they had left their mark for ever. Every hour of his time in this country he reckoned of great value--yet he had devoted fourteen days to saving the life of John Francis. Such days too--and such nights! They had carried him sometimes in a dead stupor, sometimes a raving madman, along a wild bush-track across rivers and swamps into the town of Garba, where years ago a Congo trader, who had made a fortune, had built a little white-washed hospital! He was safe now, but surely never a man before had walked so near the \"Valley of the Shadow of Death.\" A single moment's vigilance relaxed, a blanket displaced, a dose of brandy forgotten, and Trent might have walked this life a multi-millionaire, a peer, a little god amongst his fellows, freed for ever from all anxiety. But Francis was tended as never a man was tended before. Trent himself had done his share of the carrying, ever keeping his eyes fixed upon the death-lit face of their burden, every ready to fight off the progress of the fever and ague, as the twitching lips or shivering limbs gave warning of a change. For fourteen days he had not slept; until they had reached Garba his clothes had never been changed since they had started upon their perilous journey. As he rode into Attra he reeled a little in his saddle, and he walked into the office of the Agent more like a ghost than a man. \n", "labels": "Where Trent went?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-69eced890024496d8d7d127c5110cdf3"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXVII \n\nA fortnight afterwards Trent rode into Attra, pale, gaunt, and hollow-eyed. The whole history of those days would never be known by another man! Upon Trent they had left their mark for ever. Every hour of his time in this country he reckoned of great value--yet he had devoted fourteen days to saving the life of John Francis. Such days too--and such nights! They had carried him sometimes in a dead stupor, sometimes a raving madman, along a wild bush-track across rivers and swamps into the town of Garba, where years ago a Congo trader, who had made a fortune, had built a little white-washed hospital! He was safe now, but surely never a man before had walked so near the \"Valley of the Shadow of Death.\" A single moment's vigilance relaxed, a blanket displaced, a dose of brandy forgotten, and Trent might have walked this life a multi-millionaire, a peer, a little god amongst his fellows, freed for ever from all anxiety. But Francis was tended as never a man was tended before. Trent himself had done his share of the carrying, ever keeping his eyes fixed upon the death-lit face of their burden, every ready to fight off the progress of the fever and ague, as the twitching lips or shivering limbs gave warning of a change. For fourteen days he had not slept; until they had reached Garba his clothes had never been changed since they had started upon their perilous journey. As he rode into Attra he reeled a little in his saddle, and he walked into the office of the Agent more like a ghost than a man. \n", "labels": "For how long?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-69eced890024496d8d7d127c5110cdf3"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXIII: Paddy The Beaver Does A Kind Deed \n\nPaddy the Beaver listened to all that his small cousin, Jerry Muskrat, had to tell him about the trouble which Paddy's dam had caused in the Laughing Brook and the Smiling Pool. \n\n\"You see, we who live in the Smiling Pool love it dearly, and we don't want to have to leave it, but if the water cannot run down the Laughing Brook, there can be no Smiling Pool, and so we will have to move off to the Big River,\" concluded Jerry Muskrat. \"That is why I tried to spoil your dam.\" \n\nThere was a twinkle in the eyes of Paddy the Beaver as he replied: \"Well, now that you have found out that you can't do that, because I am bigger than you and can stop you, what are you going to do about it?\" \n\n\"I don't know,\" said Jerry Muskrat sadly. \"I don't see what we can do about it. Of course you are big and strong and can do just as you please, but it doesn't seem right that we who have lived here so long should have to move and go away from all that we love so just because you, a stranger, happen to want to live here. I tell you what!\" Jerry's eyes sparkled as a brand new thought came to him. \"Couldn't you come down and live in the Smiling Pool with us? I'm sure there is room enough!\" \n\nPaddy the Beaver shook his head. \"No,\" said he, and Jerry's heart sank. \"No, I can't do that because down there there isn't any of the kind of food I eat. Besides, I wouldn't feel at all safe in the Smiling Pool. You see, I always live in the woods. No, I couldn't possibly come down to live in the Smiling Pool. But I'm truly sorry that I have made you so much worry, Cousin Jerry, and I'm going to prove it to you. Now you sit right here until I come back.\" \n", "labels": "Where was the problem caused?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-333ecba600df4be68d6b19a6669b90f0"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER SEVEN. \n\nA LEARNED SQUABBLE. \n\nBartolommeo Scala, secretary of the Florentine Republic, on whom Tito Melema had been thus led to anchor his hopes, lived in a handsome palace close to the Porta Pinti, now known as the Casa Gherardesca. His arms-- an azure ladder transverse on a golden field, with the motto _Gradatim_ placed over the entrance--told all comers that the miller's son held his ascent to honours by his own efforts a fact to be proclaimed without wincing. The secretary was a vain and pompous man, but he was also an honest one: he was sincerely convinced of his own merit, and could see no reason for feigning. The topmost round of his azure ladder had been reached by this time: he had held his secretaryship these twenty years-- had long since made his orations on the _ringhiera_, or platform of the Old Palace, as the custom was, in the presence of princely visitors, while Marzocco, the republican lion, wore his gold crown on the occasion, and all the people cried, \"Viva Messer Bartolommeo!\"--had been on an embassy to Rome, and had there been made titular Senator, Apostolical Secretary, Knight of the Golden Spur; and had, eight years ago, been Gonfaloniere--last goal of the Florentine citizen's ambition. Meantime he had got richer and richer, and more and more gouty, after the manner of successful mortality; and the Knight of the Golden Spur had often to sit with helpless cushioned heel under the handsome loggia he had built for himself, overlooking the spacious gardens and lawn at the back of his palace. \n", "labels": "What did his parent do for a living?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-20c0c0b1d00846d2af3e1de72df1cdad"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER IV. \n\nSignor Andrea D'Arbino, searching vainly through the various rooms in the palace for Count Fabio d'Ascoli, and trying as a last resource, the corridor leading to the ballroom and grand staircase, discovered his friend lying on the floor in a swoon, without any living creature near him. Determining to avoid alarming the guests, if possible, D'Arbino first sought help in the antechamber. He found there the marquis's valet, assisting the Cavaliere Finello (who was just taking his departure) to put on his cloak. \n\nWhile Finello and his friend carried Fabio to an open window in the antechamber, the valet procured some iced water. This simple remedy, and the change of atmosphere, proved enough to restore the fainting man to his senses, but hardly--as it seemed to his friends--to his former self. They noticed a change to blankness and stillness in his face, and when he spoke, an indescribable alteration in the tone of his voice. \n\n\"I found you in a room in the corridor,\" said D'Arbino. \"What made you faint? Don't you remember? Was it the heat?\" \n\nFabio waited for a moment, painfully collecting his ideas. He looked at the valet, and Finello signed to the man to withdraw. \n\n\"Was it the heat?\" repeated D'Arbino. \n\n\"No,\" answered Fabio, in strangely hushed, steady tones. \"I have seen the face that was behind the yellow mask.\" \n\n\"Well?\" \n\n\"It was the face of my dead wife.\" \n\n\"Your dead wife!\" \n\n\"When the mask was removed I saw her face. Not as I remember it in the pride of her youth and beauty--not even as I remember her on her sick-bed--but as I remember her in her coffin.\" \n", "labels": "Where was he searching?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-2182ab6e6dbf49e5809399a4abaefb87"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER VIII \n\nAnd these two, as I have told you, Were the friends of Hiawatha, Chibiabos, the musician, And the very strong man, Kwasind. --Hiawatha \n\nTorpenhow was paging the last sheets of some manuscript, while the Nilghai, who had come for chess and remained to talk tactics, was reading through the first part, commenting scornfully the while. \n\n\"It's picturesque enough and it's sketchy,\" said he; \"but as a serious consideration of affairs in Eastern Europe, it's not worth much.\" \n\n\"It's off my hands at any rate. . . . Thirty-seven, thirty-eight, thirty-nine slips altogether, aren't there? That should make between eleven and twelve pages of valuable misinformation. Heigh-ho!\" Torpenhow shuffled the writing together and hummed-- \n\n'Young lambs to sell, young lambs to sell, If I'd as much money as I could tell, I never would cry, Young lambs to sell!'\" \n\nDick entered, self-conscious and a little defiant, but in the best of tempers with all the world. \n\n\"Back at last?\" said Torpenhow. \n\n\"More or less. What have you been doing?\" \n\n\"Work. Dickie, you behave as though the Bank of England were behind you. Here's Sunday, Monday, and Tuesday gone and you haven't done a line. It's scandalous.\" \n\n\"The notions come and go, my children--they come and go like our 'baccy,\" he answered, filling his pipe. \"Moreover,\" he stooped to thrust a spill into the grate, \"Apollo does not always stretch his----Oh, confound your clumsy jests, Nilghai!\" \n\n\"This is not the place to preach the theory of direct inspiration,\" said the Nilghai, returning Torpenhow's large and workmanlike bellows to their nail on the wall. \"We believe in cobblers\" wax. La!--where you sit down.\" \n", "labels": "Who came for chess", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-89cddd7ed0044128ae358b6bd0919272"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXX \n\nFERN Mullins rushed into the house on a Saturday morning early in September and shrieked at Carol, \"School starts next Tuesday. I've got to have one more spree before I'm arrested. Let's get up a picnic down the lake for this afternoon. Won't you come, Mrs. Kennicott, and the doctor? Cy Bogart wants to go--he's a brat but he's lively.\" \n\n\"I don't think the doctor can go,\" sedately. \"He said something about having to make a country call this afternoon. But I'd love to.\" \n\n\"That's dandy! Who can we get?\" \n\n\"Mrs. Dyer might be chaperon. She's been so nice. And maybe Dave, if he could get away from the store.\" \n\n\"How about Erik Valborg? I think he's got lots more style than these town boys. You like him all right, don't you?\" \n\nSo the picnic of Carol, Fern, Erik, Cy Bogart, and the Dyers was not only moral but inevitable. \n\nThey drove to the birch grove on the south shore of Lake Minniemashie. Dave Dyer was his most clownish self. He yelped, jigged, wore Carol's hat, dropped an ant down Fern's back, and when they went swimming (the women modestly changing in the car with the side curtains up, the men undressing behind the bushes, constantly repeating, \"Gee, hope we don't run into poison ivy\"), Dave splashed water on them and dived to clutch his wife's ankle. He infected the others. Erik gave an imitation of the Greek dancers he had seen in vaudeville, and when they sat down to picnic supper spread on a lap-robe on the grass, Cy climbed a tree to throw acorns at them. \n", "labels": "Why did he want to go on a final spree?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-bc8822f17eb0453e8be0922f2c79df73"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- The megayacht that Steve Jobs commissioned in the final years of his life has been impounded in Amsterdam after a payment dispute involving the designer, Philippe Starck. \n\nThe Venus, a 100-million-euro ($137.5 million), 260-foot-long yacht, made its unofficial debut in late October. It's currently stuck in the Port of Amsterdam after Starck hired a debt-collection agency to attempt to remit the final payment for his design. \n\nAccording to lawyers at Ubik -- Starck's design company -- speaking with Reuters, the designer has only received 6 million of the 9-million-euro commission and is seeking the rest of the payment before the Venus will be released. \n\n\"These guys [Jobs and Starck] trusted each other, so there wasn't a very detailed contract,\" Roelant Klaassen, a lawyer for Ubik, told Reuters. \n\nThe Venus is a floating ode to both Jobs and Starck's minimalist aesthetic. Made entirely out of aluminum, with 40-foot-long floor-to-ceiling windows lining the passenger compartment and seven 27-inch iMacs making up the command center. \n\nIn Walter Isaacson's biography of Jobs, the late Apple CEO is quoted as saying that, \"I know that it's possible I will die and leave Laurene with a half-built boat, but I have to keep going on. If I don't, it's an admission that I'm about to die.\" \n\nSubscribe to WIRED magazine for less than $1 an issue and get a FREE GIFT! Click here! \n\nCopyright 2011 Wired.com. \n\n\n", "labels": "Who requested it to be collected?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-3a2611565cba4296aa52d59cb0f2c347"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- The megayacht that Steve Jobs commissioned in the final years of his life has been impounded in Amsterdam after a payment dispute involving the designer, Philippe Starck. \n\nThe Venus, a 100-million-euro ($137.5 million), 260-foot-long yacht, made its unofficial debut in late October. It's currently stuck in the Port of Amsterdam after Starck hired a debt-collection agency to attempt to remit the final payment for his design. \n\nAccording to lawyers at Ubik -- Starck's design company -- speaking with Reuters, the designer has only received 6 million of the 9-million-euro commission and is seeking the rest of the payment before the Venus will be released. \n\n\"These guys [Jobs and Starck] trusted each other, so there wasn't a very detailed contract,\" Roelant Klaassen, a lawyer for Ubik, told Reuters. \n\nThe Venus is a floating ode to both Jobs and Starck's minimalist aesthetic. Made entirely out of aluminum, with 40-foot-long floor-to-ceiling windows lining the passenger compartment and seven 27-inch iMacs making up the command center. \n\nIn Walter Isaacson's biography of Jobs, the late Apple CEO is quoted as saying that, \"I know that it's possible I will die and leave Laurene with a half-built boat, but I have to keep going on. If I don't, it's an admission that I'm about to die.\" \n\nSubscribe to WIRED magazine for less than $1 an issue and get a FREE GIFT! Click here! \n\nCopyright 2011 Wired.com. \n\n\n", "labels": "What was the dispute about?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-3a2611565cba4296aa52d59cb0f2c347"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: A Texas teen who's been jailed more than four months for a Facebook comment he made during a video-game argument is finally getting a day in court that could let him go home. \n\nJustin Carter, who was 18 when he was arrested, will appear in Comal County (Texas) District Court on Tuesday, July 16, for a bond hearing, according to his lawyer, Don Flanary. \n\nFlanary told CNN he will argue to have Carter's $500,000 bond, which his family cannot afford to cover, reduced. \n\nFlanary, who is working the case for free, met with Carter for the first time on Tuesday. He said Carter is not doing well, and his family says he has been placed on suicide watch. \n\n\"Justin is in bad shape and has suffered quite a bit of abuse while in jail,\" Flanary said in an e-mail. \"We will likely bring out these issues at the bond hearing.\" \n\nHe did not elaborate on the type of abuse claimed by Carter, who is now 19. \n\nIn February, Carter and a friend were arguing on Facebook with someone else over the online video game \"League of Legends.\" \n\nHis father told CNN that the other gamer called Justin crazy and his son responded with sarcasm. \n\nAccording to court documents, Justin wrote, \"I'm f***ed in the head alright. I think I'ma (sic) shoot up a kindergarten and watch the blood of the innocent rain down and eat the beating heart of one of them.\" \n\nJack Carter said his son followed the claim with \"LOL\" and \"J/K\" -- indicating that the comment wasn't serious. \n", "labels": "For how long?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-33c66c8fde9443228e47e32afc2e8f2c"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Every day Yang Hongwei takes the bus home from work, staring silently at the European-style villas , luxury cars and twinkling lights from the shopping center that he sees through the window. \n\nYang works for a software company in Zhongguancun. He dreams of such a life, away from poverty, and that hope has kept him in Beijing for three years since he graduated from university. \n\nSoon Yang squeezes his way off the bus to the reality of his life: his home--a 10-square-metre room that costs 550 yuan(81 US dollars) or about one-fifth of his salary in rent every month. It's very cold inside the house as it has no central heating system. He has to stand the long and cold winter. Determined to achieve his dream, Yang says he has changed jobs \"numerous\" times in the past three years and is considering quitting his present job. \n\nYang's frustration over his life as a migrant is shared by many other graduates that have moved into big cities. Together they have come to be called the \"ant tribe\", a term created by Chinese sociologists to describe the struggles of young migrants, who, armed with their diplomas, flood to big cities in hopes of a better life only to put up with low-paying jobs and poor living conditions. They share every similarity with ants. They live in colonies in crowded areas. They're intelligent and hardworking, yet unknown and underpaid. The term, sociologists have said, also reflects their helplessness in a world governed by the law of the concrete jungle--only the strongest survive. \n\nA survey in Ant TribeII found nearly 30 percent of the \"ants\" are graduates of famous key universities--almost three times the percentage of 2009. Most have degrees in popular majors, such as medicine, engineering, economics and management. In addition, 7.2 percent of the \"ants\" have at least a master's degree compared to 1.6 percent in 2009. Most said the economic recovery did not really improve their financial situations, and 66 percent said their incomes fell short of their expectations, the survey also found. \n\nFor two years, Lian Si, a post-doctoral fellow at the Center for Chinese and Global Affairs of Peking University, who has studied the phenomenon, led a team of more than 100 graduate students to follow the groups in university towns like Beijing, Shanghai, Guangzhou, Wuhan and Xi'an. Lian evaluates the total population of the \"ant community\" in major cities at one million across China, with about 100,000 found in Beijing alone. Lian predicts that an increasingly challenging job market will see the ant tribe growing further in number. Another 6.3 million graduates are expected to join migrant workers and other job hunters in what promises to be a fierce labour competition. \n\nThe ant tribe's embarrassing living situations have become a serious social issue, and the government should develop \"second-and-third-tier cities\" to attract more graduates from big cities. However, \"ants\" expect more study and training opportunities in big cities, which keeps them in positive mindsets despite their situations. As in the case of Yang, he is optimistic about getting a new job soon, having received eight interview offers in a week after sending out his resume. The prospect of landing a higher-paying job keeps him hopeful of moving out of the slum district soon. The sooner the better.\n", "labels": "Who is the article about?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-a5dd7ca986164618a9c7394dd5d3278d"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER VIII \n\nA MYSTERIOUS LETTER \n\nIn the morning mail Gus Plum received a letter postmarked London which he read with much interest. Then he called on Dave. \n\n\"I've just received a letter I want you to read,\" he said. \"It is from Nick Jasniff, and he mentions you.\" And he handed over the communication. \n\nIt was a long rambling epistle, upbraiding Plum roundly for \"having gone back on him,\" as Jasniff put it. The writer said he was now \"doing Europe\" and having a good time generally. One portion of the letter read as follows: \n\n\"The authorities needn't look for me, for they will never find me. I struck a soft thing over here and am about seventy pounds to the good. Tell Dave Porter I could tell him something he would like to hear--about his folks--but I am not going to do it. I don't think he'll meet that father of his just yet, or that pretty sister of his either. She'd be all right if she didn't have such a lunkhead of a brother. Tell him that some day I'll square up with him and put him in a bigger hole than he got me into. If it wasn't for him I wouldn't have to stay away as I'm doing--not but what I'm having a good time--better than grinding away at Oak Hall.\" \n\nAs may be imagined, Dave read this letter with even greater interest than had Gus Plum. What was said about his father and sister mystified him. \n", "labels": "Did he read the letter?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-aa065fbb32d343a8a30c2b6d8cd84b43"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- Jason Priestley played Brandon Walsh on \"Beverly Hills 90210\" from 1990 to 1998. Having long since hung up his Peach Pit uniform and Beverly Hills Beach Club cabana boy polo shirt, his character became a journalist and departed to take a job at the Washington Bureau of the New York Chronicle, and Priestley left the show four episodes into the series' ninth season. \n\n\"I felt that the character of Brandon had kind of run his course. I had explored everything I wanted to explore with him,\" Priestley told CNN while promoting his new book, \"Jason Priestley: A Memoir\" (HarperOne) at the New York Bureau of CNN. \n\n\"In retrospect, I do regret leaving. Understanding what I do now about story and character, I believe that [Aaron Spelling] was pushing the story in a direction that would have had Brandon and Kelly end up together at the end of the show and I think I probably should have stuck around to its fruition.\" \n\nFans of \"90210\" surely remember Kelly Taylor's (Jennie Garth) \"I choose me\" speech following Brandon and Dylan McKay's (Luke Perry) showdown for her affections. Brandon wanted Kelly to marry him. Dylan wanted to take her on a trip around the world. But Priestley believes Executive Producer Aaron Spelling had always envisioned Brandon and Kelly riding off into the sunset. \n\n\"I think my departure also hurt Aaron's feelings,\" continued Priestley. \"Aaron and I had worked very closely together for a number of years. He gave me a lot of opportunities, and I feel like my departure hurt his feelings and I never meant to do that.\" \n", "labels": "Who portrayed Kelly Taylor?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-6e011ab7fe7648a9bab579151e2d41ab"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER 62 \n\nThis recognition of Rome by Lothair evinced not only a consciousness of locality, but an interest in it not before exhibited; and the monsignore soon after seized the opportunity of drawing the mind of his companion to the past, and feeling how far he now realized the occurrences that immediately preceded his arrival in the city. But Lothair would not dwell on them. \"I wish to think of nothing,\" he said, \"that happened before I entered this city: all I desire now is to know those to whom I am indebted for my preservation in a condition that seemed hopeless.\" \n\n\"There is nothing hopeless with Divine aid,\" said the monsignore; \"but, humanly speaking, you are indebted for your preservation to English friends, long and intimately cherished. It is under their roof that you dwell, the Agostini palace, tenanted by Lord St. Jerome.\" \n\n\"Lord St. Jerome!\" murmured Lothair to himself. \n\n\"And the ladies of his house are those who, only with some slight assistance from my poor self, tended you throughout your most desperate state, and when we sometimes almost feared that mind and body were alike wrecked.\" \n\n\"I have a dream of angels,\" said Lothair; \"and sometimes I listened to heavenly voices that I seemed to have heard before.\" \n\n\"I am sure you have not forgotten the ladies of that house?\" said Catesby, watching his countenance. \n\n\"No; one of them summoned me to meet her at Rome,\" murmured Lothair, \"and I am here.\" \n\n\"That summons was divine,\" said Catesby, \"and only the herald of the great event that was ordained and has since occurred. In this holy city, Miss Arundel must ever count as the most sanctified of her sex.\" \n", "labels": "Who was being told where he was at?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-481e6785bda64f25883c4b1fab85a2be"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER 62 \n\nThis recognition of Rome by Lothair evinced not only a consciousness of locality, but an interest in it not before exhibited; and the monsignore soon after seized the opportunity of drawing the mind of his companion to the past, and feeling how far he now realized the occurrences that immediately preceded his arrival in the city. But Lothair would not dwell on them. \"I wish to think of nothing,\" he said, \"that happened before I entered this city: all I desire now is to know those to whom I am indebted for my preservation in a condition that seemed hopeless.\" \n\n\"There is nothing hopeless with Divine aid,\" said the monsignore; \"but, humanly speaking, you are indebted for your preservation to English friends, long and intimately cherished. It is under their roof that you dwell, the Agostini palace, tenanted by Lord St. Jerome.\" \n\n\"Lord St. Jerome!\" murmured Lothair to himself. \n\n\"And the ladies of his house are those who, only with some slight assistance from my poor self, tended you throughout your most desperate state, and when we sometimes almost feared that mind and body were alike wrecked.\" \n\n\"I have a dream of angels,\" said Lothair; \"and sometimes I listened to heavenly voices that I seemed to have heard before.\" \n\n\"I am sure you have not forgotten the ladies of that house?\" said Catesby, watching his countenance. \n\n\"No; one of them summoned me to meet her at Rome,\" murmured Lothair, \"and I am here.\" \n\n\"That summons was divine,\" said Catesby, \"and only the herald of the great event that was ordained and has since occurred. In this holy city, Miss Arundel must ever count as the most sanctified of her sex.\" \n", "labels": "In whose home was he?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-481e6785bda64f25883c4b1fab85a2be"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER 62 \n\nThis recognition of Rome by Lothair evinced not only a consciousness of locality, but an interest in it not before exhibited; and the monsignore soon after seized the opportunity of drawing the mind of his companion to the past, and feeling how far he now realized the occurrences that immediately preceded his arrival in the city. But Lothair would not dwell on them. \"I wish to think of nothing,\" he said, \"that happened before I entered this city: all I desire now is to know those to whom I am indebted for my preservation in a condition that seemed hopeless.\" \n\n\"There is nothing hopeless with Divine aid,\" said the monsignore; \"but, humanly speaking, you are indebted for your preservation to English friends, long and intimately cherished. It is under their roof that you dwell, the Agostini palace, tenanted by Lord St. Jerome.\" \n\n\"Lord St. Jerome!\" murmured Lothair to himself. \n\n\"And the ladies of his house are those who, only with some slight assistance from my poor self, tended you throughout your most desperate state, and when we sometimes almost feared that mind and body were alike wrecked.\" \n\n\"I have a dream of angels,\" said Lothair; \"and sometimes I listened to heavenly voices that I seemed to have heard before.\" \n\n\"I am sure you have not forgotten the ladies of that house?\" said Catesby, watching his countenance. \n\n\"No; one of them summoned me to meet her at Rome,\" murmured Lothair, \"and I am here.\" \n\n\"That summons was divine,\" said Catesby, \"and only the herald of the great event that was ordained and has since occurred. In this holy city, Miss Arundel must ever count as the most sanctified of her sex.\" \n", "labels": "And where was the Lord from?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-481e6785bda64f25883c4b1fab85a2be"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER 62 \n\nThis recognition of Rome by Lothair evinced not only a consciousness of locality, but an interest in it not before exhibited; and the monsignore soon after seized the opportunity of drawing the mind of his companion to the past, and feeling how far he now realized the occurrences that immediately preceded his arrival in the city. But Lothair would not dwell on them. \"I wish to think of nothing,\" he said, \"that happened before I entered this city: all I desire now is to know those to whom I am indebted for my preservation in a condition that seemed hopeless.\" \n\n\"There is nothing hopeless with Divine aid,\" said the monsignore; \"but, humanly speaking, you are indebted for your preservation to English friends, long and intimately cherished. It is under their roof that you dwell, the Agostini palace, tenanted by Lord St. Jerome.\" \n\n\"Lord St. Jerome!\" murmured Lothair to himself. \n\n\"And the ladies of his house are those who, only with some slight assistance from my poor self, tended you throughout your most desperate state, and when we sometimes almost feared that mind and body were alike wrecked.\" \n\n\"I have a dream of angels,\" said Lothair; \"and sometimes I listened to heavenly voices that I seemed to have heard before.\" \n\n\"I am sure you have not forgotten the ladies of that house?\" said Catesby, watching his countenance. \n\n\"No; one of them summoned me to meet her at Rome,\" murmured Lothair, \"and I am here.\" \n\n\"That summons was divine,\" said Catesby, \"and only the herald of the great event that was ordained and has since occurred. In this holy city, Miss Arundel must ever count as the most sanctified of her sex.\" \n", "labels": "Who took care of him?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-481e6785bda64f25883c4b1fab85a2be"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XII. \n\nMadame Colonna, with that vivacious energy which characterises the south, had no sooner seen Coningsby, and heard his praises celebrated by his grandfather, than she resolved that an alliance should sooner or later take place between him and her step-daughter. She imparted her projects without delay to Lucretia, who received them in a different spirit from that in which they were communicated. Lucretia bore as little resemblance to her step-mother in character, as in person. If she did not possess her beauty, she was born with an intellect of far greater capacity and reach. She had a deep judgment. A hasty alliance with a youth, arranged by their mutual relatives, might suit very well the clime and manners of Italy, but Lucretia was well aware that it was altogether opposed to the habits and feelings of this country. She had no conviction that either Coningsby would wish to marry her, or, if willing, that his grandfather would sanction such a step in one as yet only on the threshold of the world. Lucretia therefore received the suggestions and proposals of Madarne Colonna with coldness and indifference; one might even say contempt, for she neither felt respect for this lady, nor was she sedulous to evince it. Although really younger than Coningsby, Lucretia felt that a woman of eighteen is, in all worldly considerations, ten years older than a youth of the same age. She anticipated that a considerable time might elapse before Coningsby would feel it necessary to seal his destiny by marriage, while, on the other hand, she was not only anxious, but resolved, not to delay on her part her emancipation from the galling position in which she very frequently found herself. \n", "labels": "How old is Lucretia?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-3e3d61a403314aaaad0a90ee8c0831c5"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Do you know more and more Chinese artists have made regular donations to charity or put their efforts into charity work in China? Here let's know some of them. Faye Wong and her husband Li Yapeng started the Yan Ran Angel Foundation for harelipped children three years ago. It was named after their daughter. Its purpose is to help children under 14 to cure their harelips. The couple donated one million yuan (about $ 133,000) to start the organization. Cong Fei was born in a poor family. He became a successful singer in Shenzhen. He helped 178 poor students and disabled people for more than 10 years. Before he died of an illness at the age of 37 in 2006, he decided to donate his cornea to people with eye problems. He helped six people see the world. Guan Mucun has donated money to Project Hope to help poor students finish primary education. Thirty of these poor students have already finished high school with her support. Guan has also helped with charity work for environment protection, HIV/AIDS prevention, blood donation and \"Mother Water\". Guan had an unlucky childhood: her mother died when she was only 10 years old. With the help of the government and her neighbours, she grew up and was successful as a famous singer. Action star Jackie Chan is a wholehearted supporter of charities including UNICEF, Operation Smile and his own Jackie Chan Charitable Foundation. In 2007, he used much of his spare time to visit the farthest parts of China on his Dragon's Heart Charity Missions. The Dragon's Heart Foundation aims to meet the needs of poor children and the elderly in the hardest-to-reach areas of the country. Chan has made several trips to these poor villages, bringing warm clothing, wheelchairs and school supplies, and helping to build schools.\n", "labels": "What is the name of Jackie Chan's charitable organization?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-612d764fdfb44e6a96bf9d55c02a57ac"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- \"L.A. Law\" had buzz right from the moment it premiered in 1986. \n\nCo-created by Steven Bochco, hot off his success with \"Hill Street Blues,\" the series was set at the high-priced Los Angeles law firm of McKenzie, Brackman, Chaney and Kuzak. \n\nThe cast was glossy and diverse, including Jimmy Smits, Blair Underwood, Jill Eikenberry, Michael Tucker, Susan Dey, Richard Dysart, Alan Rachins and Corbin Bernsen. \n\nMost of all, it pushed the boundaries of the legal show the way \"Hill Street\" did with cop shows. \n\n\"L.A. Law's\" principals argued cases involving rape, capital punishment, big business, child molestation, AIDS and medical malpractice at a time when such subjects were seldom mentioned on prime-time television, and certainly not in such detail. This was no \"Perry Mason,\" or even \"The Defenders.\" \n\nBochco being Bochco, the hard stuff was paired with moments of silly humor and steamy sex (or silly sex and steamy humor), making for a high-wire balance of drama and comedy. \n\nOne first-season episode got people talking about a fictional sex act called the \"Venus Butterfly\"; later, the show actually killed off a character by dropping her down an elevator shaft. \n\nThe big hair and big-shouldered suits of the '80s may be gone, but the show remains influential. David E. Kelley, a real-life lawyer who later created \"Picket Fences,\" \"The Practice\" and \"Ally McBeal,\" got his television start as a writer on \"L.A. Law.\" \n\nThe show's first season is finally out on DVD, with the second expected to follow in a few months. CNN spoke to Smits, now a star of \"Sons of Anarchy\" who played idealistic Hispanic attorney Victor Sifuentes, and Alan Rachins, who played bottom-line-oriented partner Douglas Brackman Jr. and later starred on \"Dharma and Greg,\" about the show and its impact. \n", "labels": "What are some of the topics of cases argued on L.A. Law?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-3e0a1d7a7396468eada3c1b3801e39a6"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- \"L.A. Law\" had buzz right from the moment it premiered in 1986. \n\nCo-created by Steven Bochco, hot off his success with \"Hill Street Blues,\" the series was set at the high-priced Los Angeles law firm of McKenzie, Brackman, Chaney and Kuzak. \n\nThe cast was glossy and diverse, including Jimmy Smits, Blair Underwood, Jill Eikenberry, Michael Tucker, Susan Dey, Richard Dysart, Alan Rachins and Corbin Bernsen. \n\nMost of all, it pushed the boundaries of the legal show the way \"Hill Street\" did with cop shows. \n\n\"L.A. Law's\" principals argued cases involving rape, capital punishment, big business, child molestation, AIDS and medical malpractice at a time when such subjects were seldom mentioned on prime-time television, and certainly not in such detail. This was no \"Perry Mason,\" or even \"The Defenders.\" \n\nBochco being Bochco, the hard stuff was paired with moments of silly humor and steamy sex (or silly sex and steamy humor), making for a high-wire balance of drama and comedy. \n\nOne first-season episode got people talking about a fictional sex act called the \"Venus Butterfly\"; later, the show actually killed off a character by dropping her down an elevator shaft. \n\nThe big hair and big-shouldered suits of the '80s may be gone, but the show remains influential. David E. Kelley, a real-life lawyer who later created \"Picket Fences,\" \"The Practice\" and \"Ally McBeal,\" got his television start as a writer on \"L.A. Law.\" \n\nThe show's first season is finally out on DVD, with the second expected to follow in a few months. CNN spoke to Smits, now a star of \"Sons of Anarchy\" who played idealistic Hispanic attorney Victor Sifuentes, and Alan Rachins, who played bottom-line-oriented partner Douglas Brackman Jr. and later starred on \"Dharma and Greg,\" about the show and its impact. \n", "labels": "Who is one of the creators?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-3e0a1d7a7396468eada3c1b3801e39a6"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Ultratop is an organization which generates and publishes the official record charts in Belgium, and it is also the name of most of those charts. Ultratop is a non-profit organization, created on the initiative of the Belgian Entertainment Association (BEA), the Belgian member organization of the International Federation of the Phonographic Industry. Two parallel set of charts are concurrently produced and published, one on behalf of Belgium's Dutch-speaking Flanders region, and the other catering to the nation's French-speaking region of Wallonia. \n\nThe music charts produced by Ultratop organization are separated along regional-language boundaries, an unusual division that is justified by the cultural differences in Belgium. So it is that the Dutch-speaking Flanders region has one set of charts of record activity there, while the French-speaking Wallonia region has another set to measure popularity in those provinces. \n\nThe charts are broadcast on several Belgian radio stations, and on TV stations TMF in Flanders and Plug RTL in Wallonia. \n\nUltratop creates charts based on record sales of around 500 retail outlets and legal digital downloads. Currently GfK is the market observer of the charts. The chart broadcasts on Radio Contact on Saturdays from 12:00 to 14:00. The combined number of Ultratop chart listeners on the various radio or TV stations exceeds two million every week. To celebrate the 10th anniversary of the charts in 2005, a jubilee book was published. It covers all 15,282 singles from 5,882 artists thus far.\n", "labels": "Ultratop makes charts based on album sales of how many retail outlets and downloads?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-887ddecded1f4b47948c8e2ec49feabd"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Intel Corporation (also known as Intel, stylized as intel) is an American multinational corporation and technology company headquartered in Santa Clara, California (colloquially referred to as \"Silicon Valley\") that was founded by Gordon Moore (of Moore's law fame) and Robert Noyce. It is the world's second largest and second highest valued semiconductor chip makers based on revenue after being overtaken by Samsung, and is the inventor of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies processors for computer system manufacturers such as Apple, Lenovo, HP, and Dell. Intel also manufactures motherboard chipsets, network interface controllers and integrated circuits, flash memory, graphics chips, embedded processors and other devices related to communications and computing. \n\nIntel Corporation was founded on July 18, 1968, by semiconductor pioneers Robert Noyce and Gordon Moore, and widely associated with the executive leadership and vision of Andrew Grove. The company's name was conceived as portmanteau of the words \"int\"egrated and \"el\"ectronics, with co-founder Noyce having been a key inventor of the integrated circuit (microchip). The fact that \"intel\" is the term for intelligence information also made the name appropriate. Intel was an early developer of SRAM and DRAM memory chips, which represented the majority of its business until 1981. Although Intel created the world's first commercial microprocessor chip in 1971, it was not until the success of the personal computer (PC) that this became its primary business. During the 1990s, Intel invested heavily in new microprocessor designs fostering the rapid growth of the computer industry. During this period Intel became the dominant supplier of microprocessors for PCs and was known for aggressive and anti-competitive tactics in defense of its market position, particularly against Advanced Micro Devices (AMD), as well as a struggle with Microsoft for control over the direction of the PC industry.\n", "labels": "ALso known as?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-250ac6be51ac409eb07dbb4d44816fd6"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- ISIS has released a new video of British hostage John Cantlie, this time showing him in the Syrian border city of Kobani. \n\nIn a segment that lasts for more than five minutes, Cantlie argues that -- unlike Western media accounts of recent days -- Kobani is mostly under control of the terror group, which calls itself the Islamic state. \n\nHe claims that ISIS fighters are mopping up, and that the all-out battle for the city is over. Kurdish forces in Syria have said the fight is far from finished, and that Iraqi Kurdish forces will soon be joining them. \n\nKurdish forces and ISIS militants have been clashing in the key border city for more than a month. On Sunday, the Syrian Observatory for Human Rights said at least 800 people have been killed there since the fighting started. \n\nThe video posted online Monday is the latest ISIS has released of Cantlie, who's been held hostage for nearly two years. \n\nThe British photojournalist, who also wrote several articles for major British newspapers, was kidnapped in November 2012 along with American journalist James Foley. In the first video of him released by the group last month, Cantlie made clear that he was forced to share a message from ISIS. \n\nThe video released Monday portrays Cantlie as a reporter in the field describing Kobani. The hostage, dressed in black, appears close enough to the border to see Turkish flags in the background. \n\n\"It seemed almost like a standup that a CNN correspondent would do in a foreign city,\" Peter Bergen, CNN national security analyst, said. \"It was designed to show that he's relaxed, that what he's saying is accurate. But clearly he's under duress.\" \n", "labels": "Is he there against his will?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-797087504fdb403099df8e2bda147cb5"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN)Prison life won't be pretty for Aaron Hernandez, the former NFL player and convicted murderer sentenced to life without parole. \n\nAfter correction officers evaluate him, he will be shipped to Massachusetts' flagship maximum-security prison, one of the most high-tech jails in the United States with no history of breakouts: the Souza-Baranowski Correctional Center in Shirley, about 40 miles outside downtown Boston. \n\nIt's called Souza, for short, and it's the state's newest prison, opened in 1998, with a matrix of 366 cameras recording live 24 hours a day and a microwave detection perimeter with taut wire. \n\n\"I don't know the date, but he'll be going there. That's the maximum-security facility,\" Department of Corrections spokesman Darren Duarte said. \n\nLegal advocates for inmates describe Souza as sterile and violent at once. Its diverse demographic includes the young and the old, many of whom are also doing life. One stubborn problem is that opiates are smuggled to inmates, the legal advocates said. \n\n\"It's very shiny and clean looking and very sterile,\" said Leslie Walker, executive director of Prisoners' Legal Services of Massachusetts, who has been visiting the Souza prison about every six weeks for the past 15 years and serves indigent prisoners there. \n\nBut, she added: \"It is a very dangerous prison that is right now experiencing a veritable flood of opiates.\" \n\nOfficials said Hernandez, 25, is being processed at the maximum-security Massachusetts Correctional Institution-Cedar Junction in Walpole, just a handful of miles from Gillette Stadium, where he once played tight end for the New England Patriots under a five-year $40 million contract. \n", "labels": "What kind of issue is this place facing right now?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-37442a23d979475f9bc39fbdf94ef107"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Spiderman is one of the most famous comic book heroes of all time. He was created by Stan Lee in 1963 and was first introduced to the world in the pages of Marvel Comic Books. Spiderman's story is the story of Peter Parker, a child who lost his parents and lives with his aunt and uncle. Peter is a shy, quiet boy wearing glasses and has few friends. One day, on a high school class trip to a science lab, he gets bitten by a special spider. Soon Peter realizes he has amazing powers: he is as strong and quick as a spider and also has a type of sixth sense. He no longer needs his glasses and he can use his super power to fly through the city streets! Remembering something his Uncle Ben has told him _ ,Peter decides to use his powers to fight against enemies who do cruel things to people. And so, Spiderman is born. Life is not easy for Peter even though he is a superhero. He is in love with Mary Jane but he can't tell her about his amazing powers. Besides, his best friend Harry hates Spiderman! Peter is also short of money and time. He has to sell photos of Spiderman (himself!) to a newspaper and he keeps losing his other jobs because he's so busy saving people! Yet he has to fight against different kinds of cruel enemies.\n", "labels": "Who was created?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d872993dbc1c4f54a85f697961d4b9ff"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- A former hospital worker systematically shot and killed four people in upstate New York on Saturday, authorities in two counties said. \n\nFormer hospital worker Frank Garcia, 34, has been accused in the shooting rampage. \n\nFrank Garcia, 34, was arrested Saturday afternoon. Garcia knew all four victims, police said, but they didn't reveal details about the relationships. \n\n\"The individuals who were shot were known to the suspect. It was not necessarily a random act,\" Monroe County Sheriff Patrick O'Flynn said. \n\nThe first two victims -- Mary Sillman, 23, and Randall Norman, 41 -- were fatally shot before 5 a.m. at Lakeside Memorial Hospital in Brockport, where Garcia was once employed, O'Flynn said. Another woman was wounded and is undergoing treatment at a nearby hospital, he said. \n\nThe second shooting happened at a house in nearby Ontario County on Saturday afternoon. \n\nChristopher Glatz, 45, and his wife, Kim, 38, were killed \"execution-style\" while their two teenagers were in the suburban Rochester home, Ontario County Sheriff Philip Povero said. \n\nThe teens were not wounded, but it is unclear whether they witnessed the event. \n\nPovero said neighbors reported Garcia went door-to-door looking for the Glatzes' home. \n\n\"He was in fact looking for the residence,\" Povero said. \"He was saying different things to different people, but he was clearly looking for that home.\" \n\nBallistic evidence has connected the two crime scenes, Povero said. Investigators found the matching brass cartridges from a pistol found on Garcia when he was arrested, he said. \n\nGarcia was arrested at a restaurant Saturday afternoon, CNN affiliate R-News in Rochester reported. \n", "labels": "How old is Garcia?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-b273c02fbfa14cfcb316eabaf53ffb82"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Berlin is the capital and the largest city of Germany as well as one of its 16 constituent states. With a population of approximately 3.7 million, Berlin is the second most populous city proper in the European Union and the seventh most populous urban area in the European Union. Located in northeastern Germany on the banks of the rivers Spree and Havel, it is the centre of the Berlin-Brandenburg Metropolitan Region, which has roughly 6 million residents from more than 180 nations. Due to its location in the European Plain, Berlin is influenced by a temperate seasonal climate. Around one-third of the city's area is composed of forests, parks, gardens, rivers, canals and lakes. \n\nFirst documented in the 13th century and situated at the crossing of two important historic trade routes, Berlin became the capital of the Margraviate of Brandenburg (14171701), the Kingdom of Prussia (1701\u20131918), the German Empire (1871\u20131918), the Weimar Republic (1919\u20131933) and the Third Reich (1933\u20131945). Berlin in the 1920s was the third largest municipality in the world. After World War II and its subsequent occupation by the victorious countries, the city was divided; East Berlin was declared capital of East Germany, while West Berlin became a de facto West German exclave, surrounded by the Berlin Wall (1961\u20131989) and East German territory. Following German reunification in 1990, Berlin once again became the capital of all of Germany.\n", "labels": "How many states does Germany have?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d34dde6e30534a29877751482f5db25e"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Art lovers around the world have thought about this question for so many years: what is the secret behind the Mona Lisa's smile? However, they can ask Mona Lisa herself in the interactive exhibition in Beijing. This exhibition brings the 500-year-old painting to life. Now Leonardo da Vinci's famous painting can move her head and wave her hand in 3D, and even answer questions. She can answer the questions about her life, her age and so on. But when she talks she doesn't speak Italian but Chinese like: \"Da jia hao, wo jiao Mengna Lisha. Hen gao xing jian dao ni men.\" The new, digital picture of Mona Lisa is the center piece of the World Classic Interactive Arts Exhibition in Beijing. You can also see other world-famous paintings such as Leonardo da Vinci's Last Supper. Last Supper is another picture that they made alive with 3D. In this picture, Jesus can walk and talk with his believers . It took the organizer Wang Hui and over 400 digital artists in South Korea two years to make the picture, at a cost of around 50 million yuan. He says, \"What's special about it is that it's the first time to use computer technology to make her speak and move.\" So what does the Mona Lisa say if you ask her why she is smiling?\n", "labels": "Who painted it?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-0aa14cbe07334db080b3c506b8f7f8d4"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Washington (CNN) -- At one time, Susan Rice seemed to be on a trajectory that would take her to the secretary of state's office in President Barack Obama's second term. \n\nBut that trajectory changed Thursday when the U.S. ambassador to the United Nations withdrew her name from consideration to succeed current Secretary of State Hillary Clinton. \n\nIn a letter to the president, Rice explained her decision to pull herself out of the running. \n\n\"I am highly honored to be considered by you for appointment as Secretary of State,\" the letter read. \"However, if nominated, I am now convinced that the confirmation process would be lengthy, disruptive and costly -- to you and to our most pressing national and international priorities. That trade-off is simply not worth it to our country. ... Therefore, I respectfully request that you no longer consider my candidacy at this time.\" \n\nA former administration official with knowledge of Rice's decision said this was Rice's decision; the White House did not ask her to stand down. \n\nObama said that while he regretted Rice's decision to withdraw he would continue to rely on her advice. \n\nRice's path began decades ago with the help of family friend Madeleine Albright, the woman who became the first female secretary of state. \n\nBenghazi talking points omitted link to al Qaeda \n\nAlbright, while serving under President Bill Clinton, recommended that he tap Rice for a high-level State Department post on African affairs in the late 1990s. \n\nAlbright had previously served with Rice's mother, Lois Rice, on a school board in Washington and watched Rice grow up with her own daughters. \n", "labels": "Who pulled herself out of the running?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-304781b7e06e4be99d1762113a790d9c"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Washington (CNN) -- At one time, Susan Rice seemed to be on a trajectory that would take her to the secretary of state's office in President Barack Obama's second term. \n\nBut that trajectory changed Thursday when the U.S. ambassador to the United Nations withdrew her name from consideration to succeed current Secretary of State Hillary Clinton. \n\nIn a letter to the president, Rice explained her decision to pull herself out of the running. \n\n\"I am highly honored to be considered by you for appointment as Secretary of State,\" the letter read. \"However, if nominated, I am now convinced that the confirmation process would be lengthy, disruptive and costly -- to you and to our most pressing national and international priorities. That trade-off is simply not worth it to our country. ... Therefore, I respectfully request that you no longer consider my candidacy at this time.\" \n\nA former administration official with knowledge of Rice's decision said this was Rice's decision; the White House did not ask her to stand down. \n\nObama said that while he regretted Rice's decision to withdraw he would continue to rely on her advice. \n\nRice's path began decades ago with the help of family friend Madeleine Albright, the woman who became the first female secretary of state. \n\nBenghazi talking points omitted link to al Qaeda \n\nAlbright, while serving under President Bill Clinton, recommended that he tap Rice for a high-level State Department post on African affairs in the late 1990s. \n\nAlbright had previously served with Rice's mother, Lois Rice, on a school board in Washington and watched Rice grow up with her own daughters. \n", "labels": "Did he ask her to stand down?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-304781b7e06e4be99d1762113a790d9c"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Washington (CNN) -- At one time, Susan Rice seemed to be on a trajectory that would take her to the secretary of state's office in President Barack Obama's second term. \n\nBut that trajectory changed Thursday when the U.S. ambassador to the United Nations withdrew her name from consideration to succeed current Secretary of State Hillary Clinton. \n\nIn a letter to the president, Rice explained her decision to pull herself out of the running. \n\n\"I am highly honored to be considered by you for appointment as Secretary of State,\" the letter read. \"However, if nominated, I am now convinced that the confirmation process would be lengthy, disruptive and costly -- to you and to our most pressing national and international priorities. That trade-off is simply not worth it to our country. ... Therefore, I respectfully request that you no longer consider my candidacy at this time.\" \n\nA former administration official with knowledge of Rice's decision said this was Rice's decision; the White House did not ask her to stand down. \n\nObama said that while he regretted Rice's decision to withdraw he would continue to rely on her advice. \n\nRice's path began decades ago with the help of family friend Madeleine Albright, the woman who became the first female secretary of state. \n\nBenghazi talking points omitted link to al Qaeda \n\nAlbright, while serving under President Bill Clinton, recommended that he tap Rice for a high-level State Department post on African affairs in the late 1990s. \n\nAlbright had previously served with Rice's mother, Lois Rice, on a school board in Washington and watched Rice grow up with her own daughters. \n", "labels": "Who was her family friend?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-304781b7e06e4be99d1762113a790d9c"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Logan had lots of toys. He had balls, dinosaurs, race cars, and even robots! Logan had so many toys he had a room for his toys. There he could play with whatever he wanted, when he wanted, and not even have to pick them back up. Logan had all kinds of balls. He had red ones, green ones, blue ones and even a pink one he hid from his sister. His robots were so cool they could change shape, fly, or race. Some even saved the world in his imagination. Logan loved his dinosaurs. He had one with big sharp teeth, one with little tiny arms, one with purple spots, and even one that his dad said didn't eat anything but plants and vegetables. Logan's favorite toys were his race cars. That was because when his dad came home from work he always went to the toy room with Logan to play with his race cars. Logan had so much fun he even lets his sister in his toy room so she can play dad too! The toy room was Logan's favorite room in the house. He spends all the time he can in his room with all his friends and family and he has so much fun.\n", "labels": "Did he have a dinosaur with pink spots?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-9cc08fad528241d988dc532cb9e19f54"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXXVI. \n\nTOM TRINGLE GETS AN ANSWER. \n\nFaddle as he went down into the country made up his mind that the law which required such letters to be delivered by hand was an absurd law. The post would have done just as well, and would have saved a great deal of trouble. These gloomy thoughts were occasioned by a conviction that he could not carry himself easily or make himself happy among such \"howling swells\" as these Alburys. If they should invite him to the house the matter would be worse that way than the other. He had no confidence in his dress coat, which he was aware had been damaged by nocturnal orgies. It is all very well to tell a fellow to be as \"big a swell\" as anybody else, as Tom had told him. But Faddle acknowledged to himself the difficulty of acting up to such advice. Even the eyes of Colonel Stubbs turned upon him after receipt of the letter would oppress him. \n\nNevertheless he must do his best, and he took a gig at the station nearest to Albury. He was careful to carry his bag with him, but still he lived in hope that he would be able to return to London the same day. When he found himself within the lodges of Stalham Park he could hardly keep himself from shivering, and, when he asked the footman at the door whether Colonel Stubbs were there, he longed to be told that Colonel Stubbs had gone away on the previous day to some--he did not care what--distant part of the globe. But Colonel Stubbs had not gone away. Colonel Stubbs was in the house. \n", "labels": "What did he take along?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-25bfedd4eb5e4a0594a3781a1f9ba004"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Utah ( or ) is a state in the western United States. It became the 45th state admitted to the U.S. on January 4, 1896. Utah is the 13th-largest by area, 31st-most-populous, and 10th-least-densely populated of the 50 United States. Utah has a population of more than 3 million (Census estimate for July 1, 2016), approximately 80% of whom live along the Wasatch Front, centering on the state capital Salt Lake City. Utah is bordered by Colorado to the east, Wyoming to the northeast, Idaho to the north, Arizona to the south, and Nevada to the west. It also touches a corner of New Mexico in the southeast. \n\nApproximately 62% of Utahns are reported to be members of The Church of Jesus Christ of Latter-day Saints or LDS (Mormons), which greatly influences Utahn culture and daily life. The LDS Church's world headquarters is located in Salt Lake City. Utah is the only state with a majority population belonging to a single church. \n\nThe state is a center of transportation, education, information technology and research, government services, mining, and a major tourist destination for outdoor recreation. In 2013, the U.S. Census Bureau estimated that Utah had the second fastest-growing population of any state. St. George was the fastest-growing metropolitan area in the United States from 2000 to 2005. Utah also has the 14th highest median average income and the least income inequality of any U.S. state. A 2012 Gallup national survey found Utah overall to be the \"best state to live in\" based on 13 forward-looking measurements including various economic, lifestyle, and health-related outlook metrics.\n", "labels": "Are more than half of the people living there Mormons?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-a4f626e5276e42ed9eef8e33de95b574"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Utah ( or ) is a state in the western United States. It became the 45th state admitted to the U.S. on January 4, 1896. Utah is the 13th-largest by area, 31st-most-populous, and 10th-least-densely populated of the 50 United States. Utah has a population of more than 3 million (Census estimate for July 1, 2016), approximately 80% of whom live along the Wasatch Front, centering on the state capital Salt Lake City. Utah is bordered by Colorado to the east, Wyoming to the northeast, Idaho to the north, Arizona to the south, and Nevada to the west. It also touches a corner of New Mexico in the southeast. \n\nApproximately 62% of Utahns are reported to be members of The Church of Jesus Christ of Latter-day Saints or LDS (Mormons), which greatly influences Utahn culture and daily life. The LDS Church's world headquarters is located in Salt Lake City. Utah is the only state with a majority population belonging to a single church. \n\nThe state is a center of transportation, education, information technology and research, government services, mining, and a major tourist destination for outdoor recreation. In 2013, the U.S. Census Bureau estimated that Utah had the second fastest-growing population of any state. St. George was the fastest-growing metropolitan area in the United States from 2000 to 2005. Utah also has the 14th highest median average income and the least income inequality of any U.S. state. A 2012 Gallup national survey found Utah overall to be the \"best state to live in\" based on 13 forward-looking measurements including various economic, lifestyle, and health-related outlook metrics.\n", "labels": "What is the name of the Mormon church?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-a4f626e5276e42ed9eef8e33de95b574"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: The Legion of Honour, full name, National Order of the Legion of Honour (), is the highest French order of merit for military and civil merits, established in 1802 by Napol\u00e9on Bonaparte. \n\nThe order's motto is ' (\"Honour and Fatherland\") and its seat is the next to the Mus\u00e9e d'Orsay, on the left bank of the River Seine in Paris. \n\nThe order is divided into five degrees of increasing distinction: ' (Knight), ' (Officer), ' (Commander), ' (Grand Officer) and \" (Grand Cross). \n\nIn the French Revolution, all of the French orders of chivalry were abolished, and replaced with Weapons of Honour. It was the wish of Napoleon Bonaparte, the First Consul, to create a reward to commend civilians and soldiers and from this wish was instituted a \"\", a body of men that was not an order of chivalry, for Napoleon believed France wanted a recognition of merit rather than a new system of nobility. The however did use the organization of old French orders of chivalry for example the \"Ordre de Saint-Louis\". The badges of the legion also bear a resemblance to the , which also used a red ribbon. \n\nNapoleon originally created this to ensure political loyalty. The organization would be used as a facade to give political favours, gifts, and concessions. The was loosely patterned after a Roman legion, with legionaries, officers, commanders, regional \"cohorts\" and a grand council. The highest rank was not a grand cross but a \" (grand eagle), a rank that wore all the insignia common to grand crosses. The members were paid, the highest of them extremely generously:\n", "labels": "Who established the legion of honour?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-26acdcfaa54f453abc5567a16af3d3c2"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: The Legion of Honour, full name, National Order of the Legion of Honour (), is the highest French order of merit for military and civil merits, established in 1802 by Napol\u00e9on Bonaparte. \n\nThe order's motto is ' (\"Honour and Fatherland\") and its seat is the next to the Mus\u00e9e d'Orsay, on the left bank of the River Seine in Paris. \n\nThe order is divided into five degrees of increasing distinction: ' (Knight), ' (Officer), ' (Commander), ' (Grand Officer) and \" (Grand Cross). \n\nIn the French Revolution, all of the French orders of chivalry were abolished, and replaced with Weapons of Honour. It was the wish of Napoleon Bonaparte, the First Consul, to create a reward to commend civilians and soldiers and from this wish was instituted a \"\", a body of men that was not an order of chivalry, for Napoleon believed France wanted a recognition of merit rather than a new system of nobility. The however did use the organization of old French orders of chivalry for example the \"Ordre de Saint-Louis\". The badges of the legion also bear a resemblance to the , which also used a red ribbon. \n\nNapoleon originally created this to ensure political loyalty. The organization would be used as a facade to give political favours, gifts, and concessions. The was loosely patterned after a Roman legion, with legionaries, officers, commanders, regional \"cohorts\" and a grand council. The highest rank was not a grand cross but a \" (grand eagle), a rank that wore all the insignia common to grand crosses. The members were paid, the highest of them extremely generously:\n", "labels": "How many degrees of distinction is the order divided?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-26acdcfaa54f453abc5567a16af3d3c2"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: A music genre is a conventional category that identifies some pieces of music as belonging to a shared tradition or set of conventions. It is to be distinguished from \"musical form\" and \"musical style\", although in practice these terms are sometimes used interchangeably. Recently, academics have argued that categorizing music by genre is inaccurate and outdated. \n\nMusic can be divided into different genres in many different ways. The artistic nature of music means that these classifications are often subjective and controversial, and some genres may overlap. There are even varying academic definitions of the term \"genre \"itself. In his book \"Form in Tonal Music\", Douglass M. Green distinguishes between genre and form. He lists madrigal, motet, canzona, ricercar, and dance as examples of genres from the Renaissance period. To further clarify the meaning of \"genre\", Green writes, \"Beethoven's Op. 61 and Mendelssohn's Op. 64 are identical in genre \u2013 both are violin concertos \u2013 but different in form. However, Mozart's Rondo for Piano, K. 511, and the \"Agnus Dei\" from his Mass, K. 317 are quite different in genre but happen to be similar in form.\" Some, like Peter van der Merwe, treat the terms \"genre\" and \"style\" as the same, saying that \"genre\" should be defined as pieces of music that share a certain style or \"basic musical language.\" Others, such as Allan F. Moore, state that \"genre\" and \"style\" are two separate terms, and that secondary characteristics such as subject matter can also differentiate between genres. A music genre or subgenre may also be defined by the musical techniques, the style, the cultural context, and the content and spirit of the themes. Geographical origin is sometimes used to identify a music genre, though a single geographical category will often include a wide variety of subgenres. Timothy Laurie argues that since the early 1980s, \"genre has graduated from being a subset of popular music studies to being an almost ubiquitous framework for constituting and evaluating musical research objects\".\n", "labels": "Is there distinct boundaries between all genres?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-f2910617471741ddab728c69f678754b"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- Yoshinobu Miyake is perhaps the only athlete apart from Dick Fosbury who has had a technique named after him. \n\nMiyake: the strongest man ever? \n\nWhile Fosbury was throwing himself backward over the bar in the high jump in Mexico City 1968, Miyake was placing his ankles together, instead of apart, for the lifting snatch. \n\nThe \"Miyake Pull\" was also coined \"Frog Style\" after the stance the lifter adopts before the pull: heels together with knees fanned outward to around sixty degrees with a wide grip on the bar, resembling a frog upon the lift. \n\nThe technique proved physiologically efficient for a body bearing some 60 kilograms (132 pounds) of stress. \n\nMiyake's Olympic gold in 1968 is less well known than Fosbury's, but pound for pound, in his own sport, he is considered one of the strongest men who ever lived -- and Japan's finest weightlifting exponent. \n\nThe medal re-affirmed Miyake's pre-eminence in the featherweight class and proved he could travel. \n\nIn 1964 he had also won gold in Tokyo in front of a home crowd, improving on a silver earned in Rome in 1960. \n\nBorn in Miyagi Prefecture in Honshu, north of Tokyo, in 1939, Miyake was all but unstoppable in the mid-1960s. \n\nDuring that time he set 25 world records, many consecutively as he bettered his own standards. He was the world champion in 1962-1963 and 1964-1965. \n\nAfter coming fourth at the 1972 Munich Games, Miyake retired from competitive action to coach Japan's weightlifting team, helping his brother, Yoshiyuki, become world champion in 1969 and 1971. \n", "labels": "Where is that?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-f6e41d076c4f4cbbb104bb7117c5590a"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Karachi (; ALA-LC: , ; ) is the capital of the Pakistani province of Sindh. It is the most populous city in Pakistan, sixth most populous city proper in the world and the 8th most populous metropolitan city in the world. Ranked as a beta world city, the city is Pakistan's premier industrial and financial centre. Karachi is also Pakistan's most cosmopolitan city. Situated on the Arabian Sea, Karachi serves as a transport hub, and is home to two of Pakistan's two largest seaports, the Port of Karachi and Port Bin Qasim, as well as the busiest airport in Pakistan. \n\nThough the Karachi region has been inhabited for millennia, the city was founded as a fortified village named \"Kolachi\" in 1729. The settlement drastically increased in importance with the arrival of British East India company in the mid 19th century, who not only embarked on major works to transform the city into a major seaport, but also connected it with their extensive railway network. By the time of the Partition of British India, the city was the largest in Sindh with an estimated population of 400,000. Following the independence of Pakistan, the city's population increased dramatically with the arrival of hundreds of thousands of Muslim refugees from India. The city experienced rapid economic growth following independence, attracting migrants from throughout Pakistan and South Asia.\n", "labels": "Is it considered to be cosmopolitan?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-e9b106a249c84dd3b5d3a289875a00fd"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Omaha is the largest city in the state of Nebraska and the county seat of Douglas County. Omaha is located in the Midwestern United States on the Missouri River, about north of the mouth of the Platte River. Omaha is the anchor of the Omaha-Council Bluffs metropolitan area, which includes Council Bluffs, Iowa, across the Missouri River from Omaha. According to the 2010 census, Omaha's population was 408,958, making it the nation's 44th-largest city; this had increased to 446,970 as of a 2016 estimate. Including its suburbs, Omaha formed the 60th-largest metropolitan area in the United States in 2013, with an estimated population of 895,151 residing in eight counties. The Omaha-Council Bluffs-Fremont, Nebraska-IA Combined Statistical Area is 931,667, according to the U.S. Census Bureau's 2013 estimate. Nearly 1.3 million people reside within the Greater Omaha area, comprising a 50-mile (80\u00a0km) radius of Downtown Omaha, the city's center. \n\nOmaha's pioneer period began in 1854, when the city was founded by speculators from neighboring Council Bluffs, Iowa. The city was founded along the Missouri River, and a crossing called Lone Tree Ferry earned the city its nickname, the \"Gateway to the West\". Omaha introduced this new West to the world in 1898, when it played host to the World's Fair, dubbed the Trans-Mississippi Exposition. During the 19th century, Omaha's central location in the United States spurred the city to become an important national transportation hub. Throughout the rest of the 19th century, the transportation and jobbing sectors were important in the city, along with its railroads and breweries. In the 20th century, the Omaha Stockyards, once the world's largest, and its meatpacking plants gained international prominence.\n", "labels": "Who started Omaha?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-65618201ef7a462c8d66a977955ee757"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- Alexis Murphy was last seen at a gas station earlier this month, and though police have arrested a suspect in her abduction, his attorney tells a CNN affiliate his client split ways with the 17-year-old after a drug deal. \n\nHer disappearance set off a search that extended for 30 miles outside of Lovingston, Virginia, and involved helicopters, search parties with canine units, the Nelson County Sheriff's Office, Virginia State Police and FBI. \n\nAlexis left her Shipman, Virginia, home to visit Lynchburg on August 3, and police have surveillance video showing her at a Lovingston gas station, according to affiliate WVIR-TV in Charlottesville. \n\nRandy Taylor, 48, was seen on the video and was arrested in her abduction Sunday, police told CNN affiliate WRC-TV, but Taylor's attorney, Michael Hallahan, told WVIR that Taylor was arrested because they found one of Alexis' hairs in his camper. \n\nThe attorney also told WVIR his client wasn't the last person to see Alexis and that police need to be looking for a \"black male, mid- to late-20s, cornrows and a 20-year-old burgundy Caprice with 22-inch wheels.\" \n\nTaylor saw the girl the night she disappeared, the lawyer said. They were both parked at the gas pumps, and Alexis made a reference to smoking marijuana, Hallahan said. Taylor told her he'd like some marijuana, the attorney said. \n\n\"She said, 'I know a guy.' She told him to meet at another location in Lovingston and they rode up there in both cars,\" the lawyer told the station. \n\nThat \"guy,\" Alexis and Taylor all took separate cars to Taylor's camper in Lovingston, where Taylor bought $60 worth of marijuana. The men smoked and drank together, but Murphy did not, the attorney said. \n", "labels": "Where was the last place she was spotted?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-5bb1fc7915ff4a01ab0c8fd6a969ab6e"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: (CNN) -- Alexis Murphy was last seen at a gas station earlier this month, and though police have arrested a suspect in her abduction, his attorney tells a CNN affiliate his client split ways with the 17-year-old after a drug deal. \n\nHer disappearance set off a search that extended for 30 miles outside of Lovingston, Virginia, and involved helicopters, search parties with canine units, the Nelson County Sheriff's Office, Virginia State Police and FBI. \n\nAlexis left her Shipman, Virginia, home to visit Lynchburg on August 3, and police have surveillance video showing her at a Lovingston gas station, according to affiliate WVIR-TV in Charlottesville. \n\nRandy Taylor, 48, was seen on the video and was arrested in her abduction Sunday, police told CNN affiliate WRC-TV, but Taylor's attorney, Michael Hallahan, told WVIR that Taylor was arrested because they found one of Alexis' hairs in his camper. \n\nThe attorney also told WVIR his client wasn't the last person to see Alexis and that police need to be looking for a \"black male, mid- to late-20s, cornrows and a 20-year-old burgundy Caprice with 22-inch wheels.\" \n\nTaylor saw the girl the night she disappeared, the lawyer said. They were both parked at the gas pumps, and Alexis made a reference to smoking marijuana, Hallahan said. Taylor told her he'd like some marijuana, the attorney said. \n\n\"She said, 'I know a guy.' She told him to meet at another location in Lovingston and they rode up there in both cars,\" the lawyer told the station. \n\nThat \"guy,\" Alexis and Taylor all took separate cars to Taylor's camper in Lovingston, where Taylor bought $60 worth of marijuana. The men smoked and drank together, but Murphy did not, the attorney said. \n", "labels": "Who was arrested as a suspect?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-5bb1fc7915ff4a01ab0c8fd6a969ab6e"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: I hated writing thank-you notes as a child, but I had no choice: My mother was adamant about honoring other people's kindness and generosity. But now after a childhood spent crafting those notes, the music of gratitude flows naturally from me. \n\nI hire Brant to build an arbor around my front door. I drew it exactly as I wanted, and he realized my vision perfectly. Surprised at how the arbor's beauty uplifted me every time I stepped into my house, I called Brant a few weeks after the arbor went up. He answered the phone defensively. \n\n\"What can I do for you?\" he asked, his voice cold and distant. \n\n\"You can say, 'You're welcome,' \" I responded. \n\n\"I don't understand,\" Brant shot back. \n\n\"I am calling to say 'Thank you.' '' \n\nSilence. \n\n\"What do you mean?\" he asked. \n\n\"I love my arbor, and I wanted you to know how much I appreciate your work.\" \n\nMore silence. \n\n\"I've been doing this work for 20 years, and no one has ever called to thank me for it,\" said Brant. \"People only call me when they have problems.\" He was doubtful. \n\nI also had a similar experience with L.J. He answered my questions, didn't push, and gave me space to think and decide. I wrote to let him know that he completely exceeded my expectations of what a beat-them-down car sales experience would be like, and that I was happy with my car choice. L.J. called me a few days later. He said that this was the first thank-you note in the history of the dealership. \n\nAre we really living in an age when feedback only closes with complaint? It seems to me that when we focus on problems, we only have dissatisfaction and complaint. But when we focus on celebrating goodness, we are likely to turn it into something positive.\n", "labels": "How long has he been doing it?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-5102408b6d1a41288997595f0967dad3"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Because plants cannot move or talk, most people believe that they have no feelings and that they cannot receive signals from outside. However, this may not be completely true. \n\nPeople who studied plants have found out that plants carry a small electrical charge . It is possible to measure this charge with a small piece of equipment called \"galvanometer\". The galvanometer is placed on a leaf off the plant, and it records any changes in the electrical field of the leaf. Humans have a similar field which can change when we are shocked or frightened. \n\nA man called Backster used a galvanometer for his studies of plants and was very surprised at his results. He found that if he had two or more plants in a room and he began to destroy one of them - perhaps by pulling off its leaves or by pulling it out of its pot - then the galvanometer on the leaves of the other plants showed a change in the electrical field. It seemed as if the plants were signalling a feeling of shock. This happened not only when Backster started to destroy plants, but also when he destroyed other living things such as insects . \n\nBackster said that the plants also knew if someone had destroyed a living thing some distance away, because they signalled when a man who had just cut down a tree entered the room. \n\nAnother scientist, named Sauvin, achieved similar results to Backster's. He kept galvanometers fixed to his plants all the time and checked regularly to see what the plants were doing. If he was out of the office, he telephoned to find out about the signals the plants were sending. In this way, he found that the plants were sending out signals at the exact times when he felt strong pleasure or pain. In fact, Sauvin could cause a change in the electrical field of his plants over a distance of a few miles simply by thinking about them.\n", "labels": "Do plants sense strong pleasure or pain?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-15e981254944448c868ca6543b655c85"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: When we talk about red packets, the most important question is \"What are you going to do with it?\" One thing you could do is to put your money in the bank. Maybe you don't know, some students in Hubei began to use the Xiaogui Dangjia bank card this year. This is a card for children. It is from China Minsheng Bank in Wuhan. Wang Ming is a 14-year-old junior student in Wuhan. He said \"All my pocket money has a place to go now. I can pay my own school fees .\" Zhu Yu, a manager of Minsheng Bank, said that they knew lots of students who didn't know how to use their money. So they wanted them to know how to use it carefully. Parents worry that children don't know how to take care of the money by themselves. Shen qiangqiang's mother like the card very much. Shen was asking his mother for a computer for a long time, but his mother didn't buy it for him. She said, \"We want him to use his card to save money for the computer. If we buy everything he asks for, he will think money comes too easily, and he won't work hard for it.\" Today, there are many different kinds of bank cards. They are from different banks. People put their money in them. Then they can use their money at any time. People can do many things with bank cards. They can wash cars, go shopping, eat delicious food and travel to other places with the money in their bank cards. The most important thing is not \"How much did you get?\" It is necessary for everyone to learn how to save your money and use your money correctly.\n", "labels": "What did some students in Hubei start using this year?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-31de9b2f572040ccbe096a6fc6c7d4e6"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Oliver is a cat. He has a sister called Spike. Oliver and Spike like to play outside. They chase bugs in the backyard. When they get tired, they sleep in the sun. They don't like to go outside when it is raining. On rainy days Oliver and Spike sit in the window. They watch the rain through the window. Oliver is big and has grey and white fur. His nose is pink. Spike is small and has grey fur. Her nose is the same color as her fur. Spike is round. Oliver is tall. Oliver likes to eat. He worries when there is no food in his bowl. Spike likes to roll in dirt. Sometimes she is smelly. At Christmas time they like to play with the Christmas tree and presents. Oliver climbs the Christmas tree and breaks ornaments. Spike plays with the presents and unwraps them with her claws.\n", "labels": "What is oliver ?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-8bef2b2b45e04f75b24eb0b64ef8ab25"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Oliver is a cat. He has a sister called Spike. Oliver and Spike like to play outside. They chase bugs in the backyard. When they get tired, they sleep in the sun. They don't like to go outside when it is raining. On rainy days Oliver and Spike sit in the window. They watch the rain through the window. Oliver is big and has grey and white fur. His nose is pink. Spike is small and has grey fur. Her nose is the same color as her fur. Spike is round. Oliver is tall. Oliver likes to eat. He worries when there is no food in his bowl. Spike likes to roll in dirt. Sometimes she is smelly. At Christmas time they like to play with the Christmas tree and presents. Oliver climbs the Christmas tree and breaks ornaments. Spike plays with the presents and unwraps them with her claws.\n", "labels": "What do the do in the backyard ?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-8bef2b2b45e04f75b24eb0b64ef8ab25"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: CHAPTER XXVII. LEONARD DE CARTIENNE. \n\nWe all three stood and looked at one another for a moment, Milly Hart with her finger still pointing to the vacant place where the photograph had been. Then Cecil broke into a short laugh. \n\n\"We're looking very tragical about it,\" he said lightly. \"Mysterious joint disappearance of Leonard de Cartienne and a photograph of Mr. Hart. Now, if it had been a photograph of a pretty girl instead of a middle-aged man, we might have connected the two. Hallo!\" \n\nHe broke off in his speech and turned round. Standing in the doorway, looking at us, was Leonard de Cartienne, with a slight smile on his thin lips. \n\n\"Behold the missing link--I mean man!\" exclaimed Cecil. \"Good old Leonard! Do you know, you gave us quite a fright. We expected to find you here and the room was empty. Are you better?\" \n\n\"Yes, thanks! I'm all right now,\" he answered. \"I've been out in the yard and had a blow. What's Milly looking so scared about? And what was it I heard you say about a photograph?\" \n\n\"Father's likeness has gone,\" she explained, turning round with tears in her eyes. \"It was there on the mantelpiece this afternoon and now, when we came in to look at it, it has gone!\" \n\n\"I should think that, if it really has disappeared,\" de Cartienne remarked incredulously, \"the servant must have moved it. Ask her.\" \n\nMiss Hart rang the bell and in the meantime we looked about the room. It was all in vain. We could find no trace of it, nor could the servant who answered the summons give us any information. She had seen it in its usual place early in the morning when she had been dusting. Since then she had not entered the room. \n", "labels": "Who was standing in the doorway?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-a5e181f06e61467bb76e61e40f83006a"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Raleigh (/\u02c8r\u0251\u02d0li/; RAH-lee) is the capital of the state of North Carolina as well as the seat of Wake County in the United States. It is the second most populous city in North Carolina, after Charlotte. Raleigh is known as the \"City of Oaks\" for its many oak trees, which line the streets in the heart of the city. The city covers a land area of 142.8 square miles (370 km2). The U.S. Census Bureau estimated the city's population to be 439,896 as of July 1, 2014. It is also one of the fastest-growing cities in the country. The city of Raleigh is named after Sir Walter Raleigh, who established the lost Roanoke Colony in present-day Dare County. \n\nRaleigh is home to North Carolina State University and is part of the Research Triangle area, together with Durham (home of Duke University) and Chapel Hill (home of the University of North Carolina at Chapel Hill). The \"Triangle\" nickname originated after the 1959 creation of the Research Triangle Park, located in Durham & Wake Counties partway between the three cities and their universities. The Research Triangle region encompasses the U.S. Census Bureau's Raleigh-Durham-Chapel Hill Combined Statistical Area (CSA), which had an estimated population of 2,037,430 in 2013. The Raleigh Metropolitan Statistical Area (MSA) had an estimated population of 1,214,516 in 2013.\n", "labels": "What is another nickname?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d8b23e8041e9421fb4c64e9afcdf1103"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Tony Hawken, 57, is divorcing his wife Xiu Li, 51, Britain's wealthiest woman entrepreneur , because he says he doesn't like being rich and is 'not in the habit' of spending lots of money. \n\nThe pair traded up their semi-detached home in South Norwood, London, and bought a PS1.5million house in Surrey. \n\nLi, who is now worth $1.2billion (PS700million) according to Forbes, quickly settled into a life which included sipping a PS900 bottle of wine on a luxurious yacht. \n\nHowever, Mr Hawken says he felt more comfortable getting lunch in his local Wetherspoon's. \n\nDespite his sudden wealth he continued to buy books from charity shops, and _ dear clothes. \n\nIn an interview with The Times, he said: 'I think it made me uncomfortable because I'm not in the habit, I don't like spending lots of money -- I've been brought up that way. \n\n'Until recently I was never a wealthy person. I've been moderately comfortable because I have been careful with my money.' \n\nNow the couple have decided to part, Mr Hawken will walk away with just PS1million, but says it will be enough for him. \n\nHe added: 'I have got a settlement which is not great, but it's enough for me because I don't have an extravagant lifestyle. I won't have to work if I'm careful.' \n\nOn a recent trip to China, Mr Hawken said his wife took him on a yacht and treated him to a PS900 bottle of wine, but he prefers his local Wetherspoon pub. \n\n'I'm getting a little pay when you consider her potential wealth, but I don't really want to fight it.' \n\nMr Hawken met Li on a blind date while he was still a teacher and she was studying English. \n\nThe couple married, but as Li's business took off the couple spent more and more time apart. Mr Hawken says the couple have spent most of the relationship apart. \n\nFar from driving them apart, Mr Hawken believes the distance kept them together, and says they would have divorced a long time ago if they were under the same roof. \n\nMr Hawken says his only regret is not getting a divorce sooner, but he didn't push for it over fears it would affect the couple's teenage son William, now 17. \n\nMr Hawken no longer teaches full-time, but instead gives free tuition to under-privileged children.\n", "labels": "Who is separating?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-960fa9996b0e4666bf81bbdda0f0b974"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Tony Hawken, 57, is divorcing his wife Xiu Li, 51, Britain's wealthiest woman entrepreneur , because he says he doesn't like being rich and is 'not in the habit' of spending lots of money. \n\nThe pair traded up their semi-detached home in South Norwood, London, and bought a PS1.5million house in Surrey. \n\nLi, who is now worth $1.2billion (PS700million) according to Forbes, quickly settled into a life which included sipping a PS900 bottle of wine on a luxurious yacht. \n\nHowever, Mr Hawken says he felt more comfortable getting lunch in his local Wetherspoon's. \n\nDespite his sudden wealth he continued to buy books from charity shops, and _ dear clothes. \n\nIn an interview with The Times, he said: 'I think it made me uncomfortable because I'm not in the habit, I don't like spending lots of money -- I've been brought up that way. \n\n'Until recently I was never a wealthy person. I've been moderately comfortable because I have been careful with my money.' \n\nNow the couple have decided to part, Mr Hawken will walk away with just PS1million, but says it will be enough for him. \n\nHe added: 'I have got a settlement which is not great, but it's enough for me because I don't have an extravagant lifestyle. I won't have to work if I'm careful.' \n\nOn a recent trip to China, Mr Hawken said his wife took him on a yacht and treated him to a PS900 bottle of wine, but he prefers his local Wetherspoon pub. \n\n'I'm getting a little pay when you consider her potential wealth, but I don't really want to fight it.' \n\nMr Hawken met Li on a blind date while he was still a teacher and she was studying English. \n\nThe couple married, but as Li's business took off the couple spent more and more time apart. Mr Hawken says the couple have spent most of the relationship apart. \n\nFar from driving them apart, Mr Hawken believes the distance kept them together, and says they would have divorced a long time ago if they were under the same roof. \n\nMr Hawken says his only regret is not getting a divorce sooner, but he didn't push for it over fears it would affect the couple's teenage son William, now 17. \n\nMr Hawken no longer teaches full-time, but instead gives free tuition to under-privileged children.\n", "labels": "How much is the building?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-960fa9996b0e4666bf81bbdda0f0b974"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Sandra Bullock is one of the highest-profile actresses in Hollywood and also one of the world's most photographed moms. It's hard to pick up a tabloid that doesn't feature a photo of the Oscar-winner with her adopted 3-year-old son, Louis Bardot. And now Bullock is speaking out in support of a new law that increases penalties for paparazzi harassing the children of celebrities. \n\n\"We are fair game, I get it,\" Bullock told CNN at her handprint and footprint ceremony outside the TCL Chinese Theatre in Hollywood on Wednesday. \"Children should be allowed to be children and not be sold. You're taking a picture of a child and selling it!\" \n\nCalifornia Gov. Jerry Brown on Tuesday signed the bill, which increases the penalties for intentional harassment of a child because of their parents' employment. \n\nThe effort gained momentum after actresses Halle Berry and Jennifer Garner testified before the California Assembly Judiciary Committee in August to support the bill. The pair opened up about the hellish conditions faced by their children as a result of aggressive paparazzi. \n\nNicole Kidman knocked down by photog \n\nBullock commends the two on their fight. \n\n\"I think it's brilliant,\" she explains.\"The girls worked so hard, the attorney worked so hard, and I think it's a good sign.\" \n\nAccording to a release from the governor's office, the new law \"increases the maximum jail time for harassment of a child or ward because of the person's employment from six months in the county jail to a year in the county jail.\" \n", "labels": "Is it a girl or boy?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d2edd5c186f446b08b0d9a19194c9999"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Sandra Bullock is one of the highest-profile actresses in Hollywood and also one of the world's most photographed moms. It's hard to pick up a tabloid that doesn't feature a photo of the Oscar-winner with her adopted 3-year-old son, Louis Bardot. And now Bullock is speaking out in support of a new law that increases penalties for paparazzi harassing the children of celebrities. \n\n\"We are fair game, I get it,\" Bullock told CNN at her handprint and footprint ceremony outside the TCL Chinese Theatre in Hollywood on Wednesday. \"Children should be allowed to be children and not be sold. You're taking a picture of a child and selling it!\" \n\nCalifornia Gov. Jerry Brown on Tuesday signed the bill, which increases the penalties for intentional harassment of a child because of their parents' employment. \n\nThe effort gained momentum after actresses Halle Berry and Jennifer Garner testified before the California Assembly Judiciary Committee in August to support the bill. The pair opened up about the hellish conditions faced by their children as a result of aggressive paparazzi. \n\nNicole Kidman knocked down by photog \n\nBullock commends the two on their fight. \n\n\"I think it's brilliant,\" she explains.\"The girls worked so hard, the attorney worked so hard, and I think it's a good sign.\" \n\nAccording to a release from the governor's office, the new law \"increases the maximum jail time for harassment of a child or ward because of the person's employment from six months in the county jail to a year in the county jail.\" \n", "labels": "How old is he?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-d2edd5c186f446b08b0d9a19194c9999"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Copenhagen is the capital and most populous city of Denmark. The city has a population of 763,908 (), of whom 601,448 live in the Municipality of Copenhagen. The larger urban area has a population of 1,280,371 (), while the Copenhagen metropolitan area has just over 2 million inhabitants. Copenhagen is situated on the eastern coast of the island of Zealand; another small portion of the city is located on Amager, and is separated from Malm\u00f6, Sweden, by the strait of \u00d8resund. The \u00d8resund Bridge connects the two cities by rail and road. \n\nOriginally a Viking fishing village founded in the 10th century, Copenhagen became the capital of Denmark in the early 15th century. Beginning in the 17th century it consolidated its position as a regional centre of power with its institutions, defences and armed forces. After suffering from the effects of plague and fire in the 18th century, the city underwent a period of redevelopment. This included construction of the prestigious district of Frederiksstaden and founding of such cultural institutions as the Royal Theatre and the Royal Academy of Fine Arts. After further disasters in the early 19th century when Nelson attacked the Dano-Norwegian fleet and bombarded the city, rebuilding during the Danish Golden Age brought a Neoclassical look to Copenhagen's architecture. Later, following the Second World War, the Finger Plan fostered the development of housing and businesses along the five urban railway routes stretching out from the city centre.\n", "labels": "When was it founded?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-f77a3cbb0ef54b62a2a1649fb2aa35ca"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: My name is Sandra. Let me tell you the story of the best meal I ever had. \n\nI was sitting on the school bench outside Springfield Elementary School, waiting to pick up my granddaughter. She is a real cutie, and I am very proud of her grades. To pass the time, I played my triangle. In my youth, I was a triangle player in a large New York band, the Black Triangles. We all wore full black costumes every time we played. \n\n\"What lovely triangle music! You make me think of a friend I had once upon a time.\" \n\nA strange lady, about my age, was standing next to me, talking! She was holding a trumpet. It turns out the strange lady was my old friend and Black Triangle trumpet player Matilda. We hadn't seen each other since New York. Matilda told me she wanted to keep in touch, but couldn't remember what I looked like! We found out that all we remembered were the black costumes we always wore! It turns out; Matilda was also there to pick someone up from school. \n\n\"Well, Sandra, why don't you join me and my grandson for lunch? There is a lovely Thai place right down the road.' \n\nWe went there with my granddaughter and her grandson, and had a delicious meal. Our grandchildren got married 15 years later.\n", "labels": "Where was she sitting?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-4d30568738ae4f5486ba877d51605091"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Once upon a time, there was a little white mouse that lived on a farm. He liked to hide in the hay stacks where it was warm through the day and night. On cold winter days, he would wiggle out from the hay stack to get closer to the lamp in the barn, getting some extra warmth. One winter day, the mouse was very cold, but needed something to eat. He left the hay stack, and ran past the lamp. He ran across an old wood board that was laying on top of the snow - the mouse didn't have mittens and wanted to keep his feet warm. He ran and ran until he couldn't any longer. The cold weather was keeping every living thing inside, so the mouse was all alone. He walked towards the house and met a little bug named Fred. Fred told the mouse that he went inside and found lots of crumbs to eat on the kitchen floor. The mouse waited until the farmer's wife, Julie, came out the back door, and then the mouse ran into the kitchen. There were bread crumbs everywhere! The mouse ate as many as he could before anyone found him. He heard the back door open again, and hid under the oven. It was warm there - there must have been a pie baking. Farmer Bill liked pies more than bread, cake, or cookies. The mouse stayed there to warm up, then ran back to the barn to sleep for the night.\n", "labels": "What did the mouse eat?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-cf5815597eb34a239732b3e23651bac0"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: Once upon a time, there was a little white mouse that lived on a farm. He liked to hide in the hay stacks where it was warm through the day and night. On cold winter days, he would wiggle out from the hay stack to get closer to the lamp in the barn, getting some extra warmth. One winter day, the mouse was very cold, but needed something to eat. He left the hay stack, and ran past the lamp. He ran across an old wood board that was laying on top of the snow - the mouse didn't have mittens and wanted to keep his feet warm. He ran and ran until he couldn't any longer. The cold weather was keeping every living thing inside, so the mouse was all alone. He walked towards the house and met a little bug named Fred. Fred told the mouse that he went inside and found lots of crumbs to eat on the kitchen floor. The mouse waited until the farmer's wife, Julie, came out the back door, and then the mouse ran into the kitchen. There were bread crumbs everywhere! The mouse ate as many as he could before anyone found him. He heard the back door open again, and hid under the oven. It was warm there - there must have been a pie baking. Farmer Bill liked pies more than bread, cake, or cookies. The mouse stayed there to warm up, then ran back to the barn to sleep for the night.\n", "labels": "What is the farmers name?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-cf5815597eb34a239732b3e23651bac0"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: When he was a teenager, Hunter Adam was very unhappy and he spent many years in a special hospital for people with mental health problems. When he left the hospital, Adam decided to become a doctor, so he went to a medical school in Virginia, USA. But when he was there, he did things in a different way. For example, he didn't like the doctor's white coats, so he wore shirts with flowers on them when he visited his patients and he tried to make them laugh. The doctors at the medical school didn't like Adams because he was too different. But Adams believed that people in hospital need more than medicine. He saw unhappy and lonely people, and he tried to help them as patients, but as people too. He spent a lot of time with children in the hospital and often dressed up like a clown to make the children laugh When he finished medical school and become a doctor, Adams opened his own hospital, called \"the Gusundheit Institute\",together with some other doctors. They wanted it to be a place with a different way of working with sick people. Hunter Adams became famous during the 1980s, and in 1988, Universal Pictures made a film about his life. It was very successful. In the film, Robin Williams played Adams. Williams said,:\"hunter is a really warm person, who believes that patients need a doctor who is a friend. I enjoyed playing him.\"\n", "labels": "What did Adam want to be?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-34eb2e309650452b80c7e445c8c52d05"}, {"text": "Definition: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) the answer is unique, (iv) its answer is a continous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage \nInput: When he was a teenager, Hunter Adam was very unhappy and he spent many years in a special hospital for people with mental health problems. When he left the hospital, Adam decided to become a doctor, so he went to a medical school in Virginia, USA. But when he was there, he did things in a different way. For example, he didn't like the doctor's white coats, so he wore shirts with flowers on them when he visited his patients and he tried to make them laugh. The doctors at the medical school didn't like Adams because he was too different. But Adams believed that people in hospital need more than medicine. He saw unhappy and lonely people, and he tried to help them as patients, but as people too. He spent a lot of time with children in the hospital and often dressed up like a clown to make the children laugh When he finished medical school and become a doctor, Adams opened his own hospital, called \"the Gusundheit Institute\",together with some other doctors. They wanted it to be a place with a different way of working with sick people. Hunter Adams became famous during the 1980s, and in 1988, Universal Pictures made a film about his life. It was very successful. In the film, Robin Williams played Adams. Williams said,:\"hunter is a really warm person, who believes that patients need a doctor who is a friend. I enjoyed playing him.\"\n", "labels": "Did he go to college?", "task_name": "task917_coqa_question_generation", "task_category": "question_generation", "id": "task917-34eb2e309650452b80c7e445c8c52d05"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant., question: for what subjects?\n", "labels": "history, and law", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-44d13bbdb70841c7b7e9da8da4c3513c"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- The longest-running holiday special still has a very shiny nose. \n\n\"Rudolph the Red-Nosed Reindeer\" premiered on television December 6, 1964, and is now one of the holiday season's perennial favorites. The story of the reindeer who saves Christmas is beloved among children and adults alike. \n\nThe Rankin-Bass animated film production company used Japanese puppets and stop motion to tell the tale, bolstered by a soundtrack featuring Burl Ives' rendition of the theme song. \n\nIn the story, Santa's reindeer Donner and his wife have a son, Rudolph, who has the distinction of a nose that glows. He runs away after being made to feel an outcast and links up with an elf who dreams of becoming a dentist and an adventurer seeking silver and gold. \n\nAfter ending up on the Island of Misfit Toys and wandering for a while, Rudolph goes on to save his loved ones from the Abominable Snow Monster and guides Santa through a blizzard that threatens to ruin Christmas. \n\nIn 2006, the New York Times reported that fans drove for miles to see the Rudolph and Santa Claus puppets at the Center for Puppetry Arts in Atlanta. The pair were thought to be the last of the surviving production puppets. They had been taken home by a production company employee and given to her children after filming was completed. \n\n\"In 2005, the nephew of the original rescuer found the puppets in a family attic and brought them to be appraised on the PBS series 'Antiques Roadshow,' \" the Times said. \"Created for about $5,000 each in 1964, they were valued at $8,000 to $10,000 for the pair. The family sold both figures to Kevin A. Kriess, the president of TimeandSpaceToys.com and a lifelong fan of the Rankin-Bass films.\" , question: Where had they been stored since their use in the show?\n", "labels": "in a family attic", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-4308ed2c8e6b4438b2a8b52cc23f8920"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- A lawsuit filed by the family of Robert Champion, the Florida A&M University band member allegedly beaten to death in a hazing ritual, accuses the bus company involved in the deadly assault and the bus driver of negligence, their attorney said Monday. \n\nThe suit alleges that Fabulous Coach Lines and its driver not only consented to the illegal acts of hazing by students, they knowingly participated in the planned hazing activity over several years. \n\n\"This was a culture embraced by this bus company,\" Chris Chestnut said. \n\nAccording to court documents, Bus C, which is was the vehicle where the incident took place and the name of a specific hazing ritual, was parked in a dark corner, separate from the other buses provided by the company. \n\nThe suit also alleges that the bus and its air conditioning system were running at the time Champion was beaten and that the bus driver was standing guard at the door to prevent anyone from entering or exiting the vehicle. \n\nWhen Champion stepped off the bus at one point to vomit, the bus driver told him \"he would be alright as she forced him back onto the bus,\" the lawsuit claims. \n\nDespite a request for damages in excess of $15,000, Chestnut insisted the focus isn't money. It allows him to file subpoenas and take witness statements to further the investigation. \n\n\"We figure out how this happened, we figure out how to fix it, and then we stop it from happening again,\" Chestnut said. \n\nCalls to the bus company and its attorneys, Wicker, Smith, O'Hara, McCoy, and Ford, PA, for comment have not been returned. , question: WHAT DOES THE FAMILY ACCUSE THE COMPANY OF?\n", "labels": "The company consented to the illegal acts of hazing by students", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-49352909dc46466f97e336d420570699"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: The University of Chicago (UChicago, Chicago, or U of C) is a private research university in Chicago. The university, established in 1890, consists of The College, various graduate programs, interdisciplinary committees organized into four academic research divisions and seven professional schools. Beyond the arts and sciences, Chicago is also well known for its professional schools, which include the Pritzker School of Medicine, the University of Chicago Booth School of Business, the Law School, the School of Social Service Administration, the Harris School of Public Policy Studies, the Graham School of Continuing Liberal and Professional Studies and the Divinity School. The university currently enrolls approximately 5,000 students in the College and around 15,000 students overall. \n\nUniversity of Chicago scholars have played a major role in the development of various academic disciplines, including: the Chicago school of economics, the Chicago school of sociology, the law and economics movement in legal analysis, the Chicago school of literary criticism, the Chicago school of religion, and the behavioralism school of political science. Chicago's physics department helped develop the world's first man-made, self-sustaining nuclear reaction beneath the university's Stagg Field. Chicago's research pursuits have been aided by unique affiliations with world-renowned institutions like the nearby Fermilab and Argonne National Laboratory, as well as the Marine Biological Laboratory. The university is also home to the University of Chicago Press, the largest university press in the United States. With an estimated completion date of 2020, the Barack Obama Presidential Center will be housed at the university and include both the Obama presidential library and offices of the Obama Foundation., question: where will that be?\n", "labels": "It will be housed at the university", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-ecb75b8775814b14bce1c7c90eb023ed"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: The University of Chicago (UChicago, Chicago, or U of C) is a private research university in Chicago. The university, established in 1890, consists of The College, various graduate programs, interdisciplinary committees organized into four academic research divisions and seven professional schools. Beyond the arts and sciences, Chicago is also well known for its professional schools, which include the Pritzker School of Medicine, the University of Chicago Booth School of Business, the Law School, the School of Social Service Administration, the Harris School of Public Policy Studies, the Graham School of Continuing Liberal and Professional Studies and the Divinity School. The university currently enrolls approximately 5,000 students in the College and around 15,000 students overall. \n\nUniversity of Chicago scholars have played a major role in the development of various academic disciplines, including: the Chicago school of economics, the Chicago school of sociology, the law and economics movement in legal analysis, the Chicago school of literary criticism, the Chicago school of religion, and the behavioralism school of political science. Chicago's physics department helped develop the world's first man-made, self-sustaining nuclear reaction beneath the university's Stagg Field. Chicago's research pursuits have been aided by unique affiliations with world-renowned institutions like the nearby Fermilab and Argonne National Laboratory, as well as the Marine Biological Laboratory. The university is also home to the University of Chicago Press, the largest university press in the United States. With an estimated completion date of 2020, the Barack Obama Presidential Center will be housed at the university and include both the Obama presidential library and offices of the Obama Foundation., question: What will be there?\n", "labels": "both the Obama presidential library and offices of the Obama Foundation.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-77086763146942b8aa0be52d20e7dae4"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: An incandescent light bulb, incandescent lamp or incandescent light globe is an electric light with a wire filament heated to a high temperature, by passing an electric current through it, until it glows with visible light (incandescence). The hot filament is protected from oxidation with a glass or quartz bulb that is filled with inert gas or evacuated. In a halogen lamp, filament evaporation is prevented by a chemical process that redeposits metal vapor onto the filament, extending its life. The light bulb is supplied with electric current by feed-through terminals or wires embedded in the glass. Most bulbs are used in a socket which provides mechanical support and electrical connections. \n\nIncandescent bulbs are much less efficient than most other types of electric lighting; incandescent bulbs convert less than 5% of the energy they use into visible light, with standard light bulbs averaging about 2.2%. The remaining energy is converted into heat. The luminous efficacy of a typical incandescent bulb is 16 lumens per watt, compared with 60 lm/W for a compact fluorescent bulb or 150 lm/W for some white LED lamps. Some applications of the incandescent bulb deliberately use the heat generated by the filament. Such applications include incubators, brooding boxes for poultry, heat lights for reptile tanks, infrared heating for industrial heating and drying processes, lava lamps, and the Easy-Bake Oven toy. Incandescent bulbs typically have short lifetimes compared with other types of lighting; around 1,000 hours for home light bulbs versus typically 10,000 hours for compact fluorescents and 30,000 hours for lighting LEDs., question: How does it get hot?\n", "labels": "by passing an electric current through it", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-70f37d4ba65b40e6b27540f9eb242e00"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: An incandescent light bulb, incandescent lamp or incandescent light globe is an electric light with a wire filament heated to a high temperature, by passing an electric current through it, until it glows with visible light (incandescence). The hot filament is protected from oxidation with a glass or quartz bulb that is filled with inert gas or evacuated. In a halogen lamp, filament evaporation is prevented by a chemical process that redeposits metal vapor onto the filament, extending its life. The light bulb is supplied with electric current by feed-through terminals or wires embedded in the glass. Most bulbs are used in a socket which provides mechanical support and electrical connections. \n\nIncandescent bulbs are much less efficient than most other types of electric lighting; incandescent bulbs convert less than 5% of the energy they use into visible light, with standard light bulbs averaging about 2.2%. The remaining energy is converted into heat. The luminous efficacy of a typical incandescent bulb is 16 lumens per watt, compared with 60 lm/W for a compact fluorescent bulb or 150 lm/W for some white LED lamps. Some applications of the incandescent bulb deliberately use the heat generated by the filament. Such applications include incubators, brooding boxes for poultry, heat lights for reptile tanks, infrared heating for industrial heating and drying processes, lava lamps, and the Easy-Bake Oven toy. Incandescent bulbs typically have short lifetimes compared with other types of lighting; around 1,000 hours for home light bulbs versus typically 10,000 hours for compact fluorescents and 30,000 hours for lighting LEDs., question: How long does an incandescent bulb last?\n", "labels": "around 1,000 hours", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-0308fac0f50b407597901df1472bb614"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Traditionally considered the last part of the Stone Age, the Neolithic followed the terminal Holocene Epipaleolithic period and commenced with the beginning of farming, which produced the \"Neolithic Revolution\". It ended when metal tools became widespread (in the Copper Age or Bronze Age; or, in some geographical regions, in the Iron Age). The Neolithic is a progression of behavioral and cultural characteristics and changes, including the use of wild and domestic crops and of domesticated animals. \n\nThe beginning of the Neolithic culture is considered to be in the Levant (Jericho, modern-day West Bank) about 10,200 \u2013 8,800 BC. It developed directly from the Epipaleolithic Natufian culture in the region, whose people pioneered the use of wild cereals, which then evolved into true farming. The Natufian period was between 12,000 and 10,200 BC, and the so-called \"proto-Neolithic\" is now included in the Pre-Pottery Neolithic (PPNA) between 10,200 and 8,800 BC. As the Natufians had become dependent on wild cereals in their diet, and a sedentary way of life had begun among them, the climatic changes associated with the Younger Dryas are thought to have forced people to develop farming., question: What did Neolithic follow?\n", "labels": "Holocene Epipaleolithic period", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-291d642faa7441049ffd62d1a5879d7c"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Traditionally considered the last part of the Stone Age, the Neolithic followed the terminal Holocene Epipaleolithic period and commenced with the beginning of farming, which produced the \"Neolithic Revolution\". It ended when metal tools became widespread (in the Copper Age or Bronze Age; or, in some geographical regions, in the Iron Age). The Neolithic is a progression of behavioral and cultural characteristics and changes, including the use of wild and domestic crops and of domesticated animals. \n\nThe beginning of the Neolithic culture is considered to be in the Levant (Jericho, modern-day West Bank) about 10,200 \u2013 8,800 BC. It developed directly from the Epipaleolithic Natufian culture in the region, whose people pioneered the use of wild cereals, which then evolved into true farming. The Natufian period was between 12,000 and 10,200 BC, and the so-called \"proto-Neolithic\" is now included in the Pre-Pottery Neolithic (PPNA) between 10,200 and 8,800 BC. As the Natufians had become dependent on wild cereals in their diet, and a sedentary way of life had begun among them, the climatic changes associated with the Younger Dryas are thought to have forced people to develop farming., question: What produced the Neolithic Revolution?\n", "labels": "the Epipaleolithic Natufian culture", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-e06f098110284e67b2d3354326cf60a6"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Poultry (/\u02ccpo\u028altri\u02d0/) are domesticated birds kept by humans for the eggs they produce, their meat, their feathers, or sometimes as pets. These birds are most typically members of the superorder Galloanserae (fowl), especially the order Galliformes (which includes chickens, quails and turkeys) and the family Anatidae, in order Anseriformes, commonly known as \"waterfowl\" and including domestic ducks and domestic geese. Poultry also includes other birds that are killed for their meat, such as the young of pigeons (known as squabs) but does not include similar wild birds hunted for sport or food and known as game. The word \"poultry\" comes from the French/Norman word poule, itself derived from the Latin word pullus, which means small animal. \n\nThe domestication of poultry took place several thousand years ago. This may have originally been as a result of people hatching and rearing young birds from eggs collected from the wild, but later involved keeping the birds permanently in captivity. Domesticated chickens may have been used for cockfighting at first and quail kept for their songs, but soon it was realised how useful it was having a captive-bred source of food. Selective breeding for fast growth, egg-laying ability, conformation, plumage and docility took place over the centuries, and modern breeds often look very different from their wild ancestors. Although some birds are still kept in small flocks in extensive systems, most birds available in the market today are reared in intensive commercial enterprises. Poultry is the second most widely eaten type of meat globally and, along with eggs, provides nutritionally beneficial food containing high-quality protein accompanied by a low proportion of fat. All poultry meat should be properly handled and sufficiently cooked in order to reduce the risk of food poisoning., question: When was poultry first domesticated?\n", "labels": "several thousand years ago.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-7b759cb6b9f14afda12a619ec7b05e3f"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Poultry (/\u02ccpo\u028altri\u02d0/) are domesticated birds kept by humans for the eggs they produce, their meat, their feathers, or sometimes as pets. These birds are most typically members of the superorder Galloanserae (fowl), especially the order Galliformes (which includes chickens, quails and turkeys) and the family Anatidae, in order Anseriformes, commonly known as \"waterfowl\" and including domestic ducks and domestic geese. Poultry also includes other birds that are killed for their meat, such as the young of pigeons (known as squabs) but does not include similar wild birds hunted for sport or food and known as game. The word \"poultry\" comes from the French/Norman word poule, itself derived from the Latin word pullus, which means small animal. \n\nThe domestication of poultry took place several thousand years ago. This may have originally been as a result of people hatching and rearing young birds from eggs collected from the wild, but later involved keeping the birds permanently in captivity. Domesticated chickens may have been used for cockfighting at first and quail kept for their songs, but soon it was realised how useful it was having a captive-bred source of food. Selective breeding for fast growth, egg-laying ability, conformation, plumage and docility took place over the centuries, and modern breeds often look very different from their wild ancestors. Although some birds are still kept in small flocks in extensive systems, most birds available in the market today are reared in intensive commercial enterprises. Poultry is the second most widely eaten type of meat globally and, along with eggs, provides nutritionally beneficial food containing high-quality protein accompanied by a low proportion of fat. All poultry meat should be properly handled and sufficiently cooked in order to reduce the risk of food poisoning., question: What about chickens?\n", "labels": "for cockfighting", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-8dc9be60245b4a699979b00333fa6f26"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Poultry (/\u02ccpo\u028altri\u02d0/) are domesticated birds kept by humans for the eggs they produce, their meat, their feathers, or sometimes as pets. These birds are most typically members of the superorder Galloanserae (fowl), especially the order Galliformes (which includes chickens, quails and turkeys) and the family Anatidae, in order Anseriformes, commonly known as \"waterfowl\" and including domestic ducks and domestic geese. Poultry also includes other birds that are killed for their meat, such as the young of pigeons (known as squabs) but does not include similar wild birds hunted for sport or food and known as game. The word \"poultry\" comes from the French/Norman word poule, itself derived from the Latin word pullus, which means small animal. \n\nThe domestication of poultry took place several thousand years ago. This may have originally been as a result of people hatching and rearing young birds from eggs collected from the wild, but later involved keeping the birds permanently in captivity. Domesticated chickens may have been used for cockfighting at first and quail kept for their songs, but soon it was realised how useful it was having a captive-bred source of food. Selective breeding for fast growth, egg-laying ability, conformation, plumage and docility took place over the centuries, and modern breeds often look very different from their wild ancestors. Although some birds are still kept in small flocks in extensive systems, most birds available in the market today are reared in intensive commercial enterprises. Poultry is the second most widely eaten type of meat globally and, along with eggs, provides nutritionally beneficial food containing high-quality protein accompanied by a low proportion of fat. All poultry meat should be properly handled and sufficiently cooked in order to reduce the risk of food poisoning., question: What did breeders look for when breeding?\n", "labels": "fast growth, egg-laying ability, conformation, plumage and docility", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-72005ab10399413fb5660247c74b05a7"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Poultry (/\u02ccpo\u028altri\u02d0/) are domesticated birds kept by humans for the eggs they produce, their meat, their feathers, or sometimes as pets. These birds are most typically members of the superorder Galloanserae (fowl), especially the order Galliformes (which includes chickens, quails and turkeys) and the family Anatidae, in order Anseriformes, commonly known as \"waterfowl\" and including domestic ducks and domestic geese. Poultry also includes other birds that are killed for their meat, such as the young of pigeons (known as squabs) but does not include similar wild birds hunted for sport or food and known as game. The word \"poultry\" comes from the French/Norman word poule, itself derived from the Latin word pullus, which means small animal. \n\nThe domestication of poultry took place several thousand years ago. This may have originally been as a result of people hatching and rearing young birds from eggs collected from the wild, but later involved keeping the birds permanently in captivity. Domesticated chickens may have been used for cockfighting at first and quail kept for their songs, but soon it was realised how useful it was having a captive-bred source of food. Selective breeding for fast growth, egg-laying ability, conformation, plumage and docility took place over the centuries, and modern breeds often look very different from their wild ancestors. Although some birds are still kept in small flocks in extensive systems, most birds available in the market today are reared in intensive commercial enterprises. Poultry is the second most widely eaten type of meat globally and, along with eggs, provides nutritionally beneficial food containing high-quality protein accompanied by a low proportion of fat. All poultry meat should be properly handled and sufficiently cooked in order to reduce the risk of food poisoning., question: How can one avoid food poisoning when eating poultry?\n", "labels": "by properly handling and sufficiently cooking", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-7749164a13ad41fd9db9ae51dfedbce8"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Mr. Laurence was not allowed to see Beth, and Meg felt unhappy writing letters to her mother saying nothing about Beth's illness. Jo nursed Beth night and day, but the time came when Beth did not know her and called for her mother. Jo was frightened, and Meg begged to be allowed to write the truth, but Hannah said there was no danger yet. Then a letter came saying that Mr. March was worse and could not think of coming home for a long time. How dark the days seemed. How sad and lonely. The sisters worked and waited as the shadow of death lay over the once happy home. It was then that Meg realized how rich she had been in the things which really mattered--love, peace, good health. And Jo, watching her little sister, thought about how unselfish Beth always was--living for others and trying to make home a happy place for all who came there. Amy, sad and lonely at Aunt March's house, just wanted to come home so that she could do something to help Beth. On the first day of December, the doctor came in the morning. He looked at Beth, then said quietly, 'If Mrs. March can leave her husband, I think she should come home now.' Jo threw on her coat and ran out into the snow to send a telegram. When she arrived back, Laurie came with a letter saying that Mr. March was getting better again. This was good news, but Jo's face was so unhappy that Laurie asked, 'What is it? Is Beth worse?' 'I've sent for Mother,' said Jo, beginning to cry. 'Beth doesn't know us any more.' Laurie held her hand and whispered, 'I'm here, Jo. Hold on to me. Your mother will be here soon, and then everything will be all right.', question: Who was taking care of Beth?\n", "labels": "Jo nursed Beth night and day - Jo was taking care of Beth", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-fcbb7ed972d74c33b63ac3cb5d17e51f"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: A Chinese actor's divorce from his wife, over her alleged extramarital affair, has social media buzzing, with posts about the subject gaining over five billion views. \n\nWang Baoqiang announced online on Sunday that he was divorcing his wife, Ma Rong, and sacking his agent, Song Zhe. He alleged that his marriage broke down after his wife had an affair with his agent, and that she had also transferred the couple's joint assets. Ma has hit back at Wang, accusing him of abandoning their family. \n\nThe topic has sparked a debate about relationships and divorce. It seems Wang's situation has struck a chord with many - which could explain the number of views, which are high even by Chinese standards. \n\nThe divorce quickly became a top trending topic in China. According to micro blog Sina Weibo, posts with the hashtag \"Wang BaoQiang Divorce\" have been viewed over five billion times. Chinese netizens seem to have rallied around Wang, with topics like \"Wang Don't Cry\" \"Wang We Support You\", quickly trending after news of the divorce spread. Statistics by Weibo showed that 47% of netizens' posts condemned Ma for her affair, saying it had shattered her family. \n\nBut why are they so interested? what is it about this one that's got all of China ruffled up? \n\nSome people feel that this divorce seems to fit a certain trope - of a beautiful but ordinary girl marrying a rich but less good-looking man. It is not uncommon to hear the belief that a couple has to \"match\" at every level - be it in status, or physical appearance - for a relationship to work out. Wang and Ma's split has many people wondering if uneven matches are unlikely to succeed. \n\nA lot of social media discussion has also centred around divorce, and in particular how people can protect themselves. Wang has alleged that his wife transferred and hid some of the couple's assets. They're a wealthy couple - their assets, according to Chinese media, include nine flats, a BMW car and various luxury goods. As a result, people are debating the importance of protecting individual assets, even after marriage., question: and another?\n", "labels": "Wang We Support You", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-eab888f113ab4c508b4e4e16e432964b"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Laura and Graham were having a party for their good friend Judy. Judy had graduated high school and they wanted to show her how proud they were of her, and Judy would be moving far away at the end of the year. Judy was going to college to become a doctor. She thought about becoming a lawyer or an engineer. She even thought about being a scientist. Judy would be bringing her friend Mike. There wouldn't be many people at the party, since this was a celebration with close friends. Laura set out drinks and snacks for Judy and the other guests. The snacks she set out were salty pretzels., question: Who was throwing a party?\n", "labels": "Laura and Graham", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-56f36e8c6d3641bdae09141a0cf6d5b9"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: The Oscars ceremony at the 87th Academy Awards took place in Hollywood's 3,300-seat Dolby Theatre in California on Sunday evening(Feb.23, 2015). The night concluded with the biggest award of the evening, Best Picture. After already securing the Best Screenplay and Best Director Award for Alejandro Gonzalez Inarritu, Birdman took flight as the winner of the night. \n\nCompeting with 7 other contenders including another much-predicted winner \"Boyhood\", the top prize of the night was finally awarded to the film \"Birdman\". The director of \"Birdman\" was also awarded the Best Director Oscar by the Academy. In addition, the film took home two other awards for Best Original Screenplay and Cinematography. \n\nStarring Michael Keaton, the dark comedy \"Birdman\" tells the story of a faded Hollywood star, famous for his roles as the \"Birdman superhero\", who struggles to win the support and confidence to perform in a different character type in a Broadway show. \n\nThe Academy's Best Leading Actor award went to Eddie Redmayne, for his performance in the film \"the Theory of Everything\". It was the actor's first nomination and first win. \n\nMeanwhile, the Best Leading Actress award went to Julianne Moore who plays a college professor who learns that she is suffering from early-onset Alzheimer's disease. \n\nPatricia Arquette also won her first Oscar for her supporting actress role in the movie \"Boyhood\", while J.K. Simmons won the Best Supporting Actor in \"Whiplash\". \n\nBest foreign Language film went to \"Ida\", while \"Crisis Hotline\" won the award for Best Documentary Short Subject., question: What award does she earn?\n", "labels": "Best Leading Actress", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-413f07b0b3144f419a1f23b0ded7d6cb"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- A federal jury convicted a California man Monday in a case in which prosecutors say he convinced a woman to bomb a federal courthouse so he could turn her and others involved the scheme in to authorities, and collect reward money. \n\nDonny Love was found guilty on 10 charges, including the use of a weapon of mass destruction, for the role he played in the May 4, 2008, attack on San Diego's Edward J. Schwartz Federal Courthouse. \n\nNo one was injured in the blast that damaged the building's front lobby, shattered a glass door and broke a window in a building across the street. \n\nLove could face between 30 years and life in prison, said Assistant U.S. Attorney Fred Sheppard. \n\nDuring the two-week trial, prosecutors painted Love as the mastermind behind the blast. \n\nHe directed two others, Rachelle Lynette Carlock and Ella Louise Sanders to purchase explosive powder and to steal bomb-making materials, they said. Carlock was an on-again, off-again girlfriend to Love, said Sheppard. \n\nAccording to testimony, Carlock and Eric Reginald Robinson then drove from Love's house to San Diego with a backpack, containing three pipe bombs. Carlock detonated the bombs at the front doors of the courthouse, prosecutors said. \n\nCarlock, Sanders and Robinson were charged and each previously pleaded guilty for their parts in the plan. \n\nAt the time of the bombing, Love was in \"dire financial straits,\" prosecutors said, and faced jail time stemming from two pending criminal cases. \n\n\"The evidence showed that he directed the May 4, 2008, bombing for the purpose of obtaining reward money and a break on his state charges by providing information about the bombing to law enforcement,\" prosecutors said in a statement. , question: Who else was directed by Love besides Carlock?\n", "labels": "Ella Louise Sanders", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-46e247a2543b41948358fc3428a935b4"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- A federal jury convicted a California man Monday in a case in which prosecutors say he convinced a woman to bomb a federal courthouse so he could turn her and others involved the scheme in to authorities, and collect reward money. \n\nDonny Love was found guilty on 10 charges, including the use of a weapon of mass destruction, for the role he played in the May 4, 2008, attack on San Diego's Edward J. Schwartz Federal Courthouse. \n\nNo one was injured in the blast that damaged the building's front lobby, shattered a glass door and broke a window in a building across the street. \n\nLove could face between 30 years and life in prison, said Assistant U.S. Attorney Fred Sheppard. \n\nDuring the two-week trial, prosecutors painted Love as the mastermind behind the blast. \n\nHe directed two others, Rachelle Lynette Carlock and Ella Louise Sanders to purchase explosive powder and to steal bomb-making materials, they said. Carlock was an on-again, off-again girlfriend to Love, said Sheppard. \n\nAccording to testimony, Carlock and Eric Reginald Robinson then drove from Love's house to San Diego with a backpack, containing three pipe bombs. Carlock detonated the bombs at the front doors of the courthouse, prosecutors said. \n\nCarlock, Sanders and Robinson were charged and each previously pleaded guilty for their parts in the plan. \n\nAt the time of the bombing, Love was in \"dire financial straits,\" prosecutors said, and faced jail time stemming from two pending criminal cases. \n\n\"The evidence showed that he directed the May 4, 2008, bombing for the purpose of obtaining reward money and a break on his state charges by providing information about the bombing to law enforcement,\" prosecutors said in a statement. , question: What did Love tell them to buy and steal?\n", "labels": "explosive powder and bomb-making materials", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-66a0701d8d8e4493923ae1cd6709d066"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: So, there was this kid named Jack that came up to my beanstalk one day. I couldn't believe my eyes, so I put down my ham sandwich I was eating and looked at him. I'm not sure what he thought he was doing there, but he sure did talk a lot. He kept asking me questions about this and then he asked me some questions about that and I was getting a little bit tired of all of the questions. \n\nWhen I thought I wouldn't hear the end of everything, this Jack kid asked me about the one and only secret that I've always kept to myself. That no one even knew about! No, it wasn't about my golden guitar or even my goose that laid eggs filled with coins. No, he was asking me about my beans and their roots. \n\nYou see, I'm a giant and my job is to make sure the bean roots that we use to get down to earth are well protected and guarded. They're what helps us get down to the little person world when we need to. I became a little bit worried as the little kid asked more and more questions about my roots. I didn't want to tell him that my roots were hidden in the library! \n\nI walked over to him to pick this little kid up to get him to quiet down about the bean roots, well, he got me with his little knife and I dropped him! Thankfully, he didn't get hurt or I would've been so sad! \n\nHe ran down the beanstalk when I chased after him. I guess he wanted to get back to his little people. I didn't follow him, but I sure hope he doesn't come back for my stuff., question: How does he care for them?\n", "labels": "making sure they are protected and guarded.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-0ad81a95373a4882a0ca9df567ac7c00"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: So, there was this kid named Jack that came up to my beanstalk one day. I couldn't believe my eyes, so I put down my ham sandwich I was eating and looked at him. I'm not sure what he thought he was doing there, but he sure did talk a lot. He kept asking me questions about this and then he asked me some questions about that and I was getting a little bit tired of all of the questions. \n\nWhen I thought I wouldn't hear the end of everything, this Jack kid asked me about the one and only secret that I've always kept to myself. That no one even knew about! No, it wasn't about my golden guitar or even my goose that laid eggs filled with coins. No, he was asking me about my beans and their roots. \n\nYou see, I'm a giant and my job is to make sure the bean roots that we use to get down to earth are well protected and guarded. They're what helps us get down to the little person world when we need to. I became a little bit worried as the little kid asked more and more questions about my roots. I didn't want to tell him that my roots were hidden in the library! \n\nI walked over to him to pick this little kid up to get him to quiet down about the bean roots, well, he got me with his little knife and I dropped him! Thankfully, he didn't get hurt or I would've been so sad! \n\nHe ran down the beanstalk when I chased after him. I guess he wanted to get back to his little people. I didn't follow him, but I sure hope he doesn't come back for my stuff., question: About what?\n", "labels": "about this and that", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-cf6e2a62aada4bbd89b78214c087aaaa"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: So, there was this kid named Jack that came up to my beanstalk one day. I couldn't believe my eyes, so I put down my ham sandwich I was eating and looked at him. I'm not sure what he thought he was doing there, but he sure did talk a lot. He kept asking me questions about this and then he asked me some questions about that and I was getting a little bit tired of all of the questions. \n\nWhen I thought I wouldn't hear the end of everything, this Jack kid asked me about the one and only secret that I've always kept to myself. That no one even knew about! No, it wasn't about my golden guitar or even my goose that laid eggs filled with coins. No, he was asking me about my beans and their roots. \n\nYou see, I'm a giant and my job is to make sure the bean roots that we use to get down to earth are well protected and guarded. They're what helps us get down to the little person world when we need to. I became a little bit worried as the little kid asked more and more questions about my roots. I didn't want to tell him that my roots were hidden in the library! \n\nI walked over to him to pick this little kid up to get him to quiet down about the bean roots, well, he got me with his little knife and I dropped him! Thankfully, he didn't get hurt or I would've been so sad! \n\nHe ran down the beanstalk when I chased after him. I guess he wanted to get back to his little people. I didn't follow him, but I sure hope he doesn't come back for my stuff., question: What happened next?\n", "labels": "I chased after him", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-3932696839744bc79824a9f76fcfed23"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: So, there was this kid named Jack that came up to my beanstalk one day. I couldn't believe my eyes, so I put down my ham sandwich I was eating and looked at him. I'm not sure what he thought he was doing there, but he sure did talk a lot. He kept asking me questions about this and then he asked me some questions about that and I was getting a little bit tired of all of the questions. \n\nWhen I thought I wouldn't hear the end of everything, this Jack kid asked me about the one and only secret that I've always kept to myself. That no one even knew about! No, it wasn't about my golden guitar or even my goose that laid eggs filled with coins. No, he was asking me about my beans and their roots. \n\nYou see, I'm a giant and my job is to make sure the bean roots that we use to get down to earth are well protected and guarded. They're what helps us get down to the little person world when we need to. I became a little bit worried as the little kid asked more and more questions about my roots. I didn't want to tell him that my roots were hidden in the library! \n\nI walked over to him to pick this little kid up to get him to quiet down about the bean roots, well, he got me with his little knife and I dropped him! Thankfully, he didn't get hurt or I would've been so sad! \n\nHe ran down the beanstalk when I chased after him. I guess he wanted to get back to his little people. I didn't follow him, but I sure hope he doesn't come back for my stuff., question: What was it?\n", "labels": "my beans and their roots.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-69177fb7fc61440d82524a968dec5579"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: A bracket is a tall punctuation mark typically used in matched pairs within text, to set apart or interject other text. The matched pair may be described as opening and closing, or left and right symbols. \n\nForms include round (also called \"parentheses\"), square, curly (also called \"braces\"), and angle brackets (also called \"chevrons\"); and various other pairs of symbols. \n\nIn addition to referring to the class of all types of brackets, the unqualified word \"bracket\" is most commonly used to refer to a specific type of bracket: in modern American usage this is usually the square bracket and in modern British usage this is usually the round bracket. \n\nChevrons were the earliest type of bracket to appear in written English. Desiderius Erasmus coined the term \"lunula\" to refer to the rounded parentheses (), recalling the shape of the crescent moon. \n\nSome of the following names are regional or contextual. \n\nThe characters \u2039\u00a0\u203a and \u00ab\u00a0\u00bb, known as guillemets or \"angular quote brackets\", are actually quotation mark glyphs used in several European languages. Which one of each pair is the opening quote mark and which is the closing quote varies between languages. \n\nIn English, typographers generally prefer to not set brackets in italics, even when the enclosed text is italic. However, in other languages like German, if brackets enclose text in italics, they are usually set in italics too., question: Which he thought resembled what?\n", "labels": "the shape of the crescent moon", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-ab9f79eb62734972a3829f8071814479"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Rochester ( or ) is a city on the southern shore of Lake Ontario in western New York State. Rochester is the third most populous city in New York, with over 210,000 residents, and its metropolitan area has a population of nearly 1.1 million people. \n\nRochester was one of America's first boomtowns, rising to prominence as the site of many flour mills along the Genesee River, and then as a major hub of manufacturing. Several of the region's universities (notably the University of Rochester and Rochester Institute of Technology) have renowned research programs. In addition, Rochester is the site of many important inventions and innovations in consumer products. The Rochester area has been the birthplace to such corporations as Kodak, Western Union, Bausch & Lomb, Gleason and Xerox that conduct extensive research and manufacturing in the fields of industrial and consumer products. Until 2010, the Rochester metropolitan area was the second-largest regional economy in New York State, according to the U.S. Internal Revenue Service, after the New York City metropolitan area. Rochester's GMP has since ranked just below that of Buffalo, New York, while still exceeding it in per-capita income. \n\nThe 25th edition of the \"Places Rated Almanac\" rated Rochester as the \"most livable city\" in 2007, among 379 U.S. metropolitan areas. In 2010 \"Forbes\" rated Rochester as the third-best place to raise a family. In 2012 Kiplinger rated Rochester as the fifth-best city for families, citing low cost of living, top public schools, and a low jobless rate., question: Name another.\n", "labels": "Rochester Institute of Technology", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-8bf0909d1ec34556b11a67ad37899728"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Baghdad, Iraq (CNN) -- As violence continues to wrack Iraq, another ethnic slaughter may be in the making by Sunni extremists from ISIS. \n\nISIS fighters have besieged the ethnic Turkmen Shiite town of Amerli in the north for two months, and its fewer than 20,000 residents are without power and running out of food, water and medical supplies. \n\n\"The situation of the people in Amerli is desperate and demands immediate action to prevent the possible massacre of its citizens,\" said Nickolay Mladenov, the U.N. secretary-general's special representative for Iraq. \n\nHe said the suffering was \"unspeakable\" and demanded that the Shiite majority Iraqi government \"relieve the siege\" on Amerli. \n\nSmall town fights ISIS \n\nAbout 5,000 families live in Amerli, which has been under siege for 70 days, according to Dr. Ali Albayati, head of the Turkmen Saving Foundation. He told CNN the town is running without electricity, is out of medicine and can only turn to wells for water. \n\nNearly three dozen villages surrounding Amerli are already under ISIS control, Albayati said. The people of Amerli are relying on the Iraqi government to take them out by helicopter or support them with food drops, Albayati said. In the past 10 days, he added, only one flight has delivered food. \n\nSurrounded on four sides, the 17,400 residents have had to defend themselves with only the help of local police, said Masrwr Aswad of Iraq's Human Rights Commission. \n\nTheir situation echoes the ordeal of Iraq's ethnic Yazidis, whose plight after they were forced to flee into the mountains to escape militants ISIS triggered U.S. aid drops and the first U.S. airstrikes against ISIS. , question: How many people reside there?\n", "labels": "fewer than 20,000", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-e86bf075a9ca4d679e2b52e64ae7ed64"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Maurice Mountain is a retired lawyer in Washington, D.C. He developed a prototype for a device he calls the Presto Emergency Boat Ladder. His invention is a small folding ladder that attaches to the side of a boat to help people who fall into the water. Mr. Mountain plans to mass-produce his boat ladder. \n\nHe created his invention at a workshop called TechShop. Mr. Mountain says, \"I think it encourages innovation. I think people who probably have had ideas rolling around in the back of their minds for years but have never had the opportunity to actually put them into production or even experiment with them would find this place wonderful. Members of TechShop use high-tech equipment to develop and produce ideas they have for inventions.\" Isabella Musachio manages a TechShop in Arlington, Virginia. She says the shop has many different kinds of equipment. \n\n\"TechShop is a do-it-yourself maker space. So when you come in we have all these different areas of the shop, and we have a metal shop, wood shop, lasers, 3D printers, electronics. I mean, we have so many different areas and we have all the equipment that is availahle to anybody above the age of 12.\" \n\nMembership costs for TechShop start at just over $ 100 per month. Members are able to use costly machines including 3D modeling tools and laser cutters. Isabella Musachio says TechShop helps its members build their dreams. \n\n\"Our motto is 'build your dreams here' because you can really come in with just an idea, and then with the help of TechShop make that leap from an idea to building your project o, your prototype or even your business.\" \n\nJim Newton is the founder of TechShop. He first introduced the idea for the technology workshops at an arts and sciences event called Maker Faire in San Mateo, California in 2006. His idea attracted hundreds of members during that event, Now, there are eight TechShop locations in the U. S. In all, there are more than 6,000 members. Two more-TechShop locations in the cities of St. Louis and Look Angeles will be set up., question: What did he design?\n", "labels": "Presto Emergency Boat Ladder prototype", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-71e3b69f0d4041cdb78e41177b1d305b"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Anna's parents told her they were going to have a new baby brother. She had never had a brother before. She was not sure what to think about it. \n\n\"What if he cries?\" asked Anna. \n\n\"If he cries we hold him until he is quiet,\" said Anna's dad. \n\n\"What if he makes a mess in his diaper?\" asked Anna. \n\n\"Diapers smell but we clean them up,\" said Anna's mom. \n\nAnna thought about having a baby brother. Her mom and dad would take care of him. They bought a high chair for him to eat in. They brought out her old crib for him to sleep in. What could she do to help? Anna wanted to help the baby play. She thought it would be fun to play with him. Anna saved up her money. She had two whole dollars. She went to the store to pick out a present for the baby. She bought a rattle. It cost all the money she had, but Anna was happy. She could give a gift to the new baby., question: So what'd she do?\n", "labels": "Anna saved up her money", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-dbf9cb8681cb4738ba99f033cbdd40b3"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- A 42-year-old immigrant from Rwanda, who is accused of lying her way into the United States after allegedly participating in the 1994 genocide that left up to 800,000 people dead, is going on trial in a New Hampshire federal court. \n\nJury selection is set to begin Wednesday in the case of Beatrice Munyenyezi, who allegedly committed fraud in 1995 by denying her alleged involvement in mass rape, murder and kidnappings in Rwanda a year earlier. \n\nProsecutors allege Munyenyezi, who is now a U.S. citizen, intentionally lied on a refugee questionnaire and naturalization documents about her role in the infamous slaughter, in which ethnic Hutu militants butchered their Tutsi counterparts over a three-month period. \n\nThey say Munyenyezi, a Hutu, was a member of an extremist group associated with a paramilitary organization that set up roadblocks and targeted fleeing Tutsis and their sympathizers. \n\nOne of the roadblocks was set up outside the Ihuriro Hotel -- an establishment owned by her husband's family, according to the indictment. \n\nThe mother of three is allegedly married to former militia leader Arsene Shalom Ntahobali, who was convicted of war crimes and sentenced to life in prison last year. \n\nShe allegedly lived in the hotel and helped pick out those who arrived at a nearby checkpoint to be executed and raped, the indictment said. She also is accused of stealing her victims' belongings. \n\nHer attorney, Mark Howard, said his client \"categorically denies that she committed any acts of genocide, or committed any crimes, as the prosecution alleges here.\" , question: Who owned that?\n", "labels": "her husband's family", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-f0c6a30489004aadac0f3fd50915a60e"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER XXIII: Paddy The Beaver Does A Kind Deed \n\nPaddy the Beaver listened to all that his small cousin, Jerry Muskrat, had to tell him about the trouble which Paddy's dam had caused in the Laughing Brook and the Smiling Pool. \n\n\"You see, we who live in the Smiling Pool love it dearly, and we don't want to have to leave it, but if the water cannot run down the Laughing Brook, there can be no Smiling Pool, and so we will have to move off to the Big River,\" concluded Jerry Muskrat. \"That is why I tried to spoil your dam.\" \n\nThere was a twinkle in the eyes of Paddy the Beaver as he replied: \"Well, now that you have found out that you can't do that, because I am bigger than you and can stop you, what are you going to do about it?\" \n\n\"I don't know,\" said Jerry Muskrat sadly. \"I don't see what we can do about it. Of course you are big and strong and can do just as you please, but it doesn't seem right that we who have lived here so long should have to move and go away from all that we love so just because you, a stranger, happen to want to live here. I tell you what!\" Jerry's eyes sparkled as a brand new thought came to him. \"Couldn't you come down and live in the Smiling Pool with us? I'm sure there is room enough!\" \n\nPaddy the Beaver shook his head. \"No,\" said he, and Jerry's heart sank. \"No, I can't do that because down there there isn't any of the kind of food I eat. Besides, I wouldn't feel at all safe in the Smiling Pool. You see, I always live in the woods. No, I couldn't possibly come down to live in the Smiling Pool. But I'm truly sorry that I have made you so much worry, Cousin Jerry, and I'm going to prove it to you. Now you sit right here until I come back.\" , question: What did the smaller animal invite the larger one to do?\n", "labels": "come down and live in the Smiling Pool", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-a26ca1e0e62d4f77b24397b0d6568b7e"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Jefferson's metaphor of a wall of separation has been cited repeatedly by the U.S. Supreme Court. In Reynolds v. United States (1879) the Court wrote that Jefferson's comments \"may be accepted almost as an authoritative declaration of the scope and effect of the [First] Amendment.\" In Everson v. Board of Education (1947), Justice Hugo Black wrote: \"In the words of Thomas Jefferson, the clause against establishment of religion by law was intended to erect a wall of separation between church and state.\" \n\nMany early immigrant groups traveled to America to worship freely, particularly after the English Civil War and religious conflict in France and Germany. They included nonconformists like the Puritans, who were Protestant Christians fleeing religious persecution from the Anglican King of England. Despite a common background, the groups' views on religious toleration were mixed. While some such as Roger Williams of Rhode Island and William Penn of Pennsylvania ensured the protection of religious minorities within their colonies, others like the Plymouth Colony and Massachusetts Bay Colony had established churches. The Dutch colony of New Netherland established the Dutch Reformed Church and outlawed all other worship, though enforcement was sparse. Religious conformity was desired partly for financial reasons: the established Church was responsible for poverty relief, putting dissenting churches at a significant disadvantage., question: where did they go?\n", "labels": "traveled to America", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-0be30fbc04444f6c8c02cbf6b2a5b5a9"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Beijing (CNN) -- The wife of Ai Weiwei was taken from the Chinese artist's studio by police Tuesday and was questioned for three hours, the high-profile dissident said. \n\nFour policemen took Lu Qing from the Beijing studio to a nearby police station, he said. \n\nShe was released by police after questioning and is now a \"criminal suspect,\" he said. \n\nThey have not told her what crimes she is accused of, he added. \n\n\"I think the authorities are trying to threaten me through her,\" he said, speculating that Lu's arrest was related to her plans to visit Taiwan for an exhibition of her husband's work. \n\nShe has now been told to stay in Beijing, he added. \n\nPolice did not respond to a CNN request for comment on the case. \n\n\"Nobody can consider himself safe or innocent in an environment like this,\" said the dissident, who was himself detained by police for 81 days earlier this year. \n\nHe was ultimately charged with tax evasion, and last week paid $1.3 million so he can contest the charges brought against his company, Fake Cultural Development Ltd. \n\nHad he not paid the sum, his wife -- who legally represents the company -- would have been jailed, he said. \n\nThe government says the company owes 15 million yuan ($2.3 million). The money was raised from 30,000 contributors, he said. \n\nHis lawyer, Pu Zhiqiang, said last week that Ai intends to return the donations if he wins the case and is refunded the money. \n\nHis family and human rights advocates believe that the real reason for his imprisonment is his criticism of the Chinese government. , question: What is Ai WeiWei's company called?\n", "labels": "Fake Cultural Development Ltd.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-3d730a257c95473ba59175a716f77f7e"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER IV. \n\nSignor Andrea D'Arbino, searching vainly through the various rooms in the palace for Count Fabio d'Ascoli, and trying as a last resource, the corridor leading to the ballroom and grand staircase, discovered his friend lying on the floor in a swoon, without any living creature near him. Determining to avoid alarming the guests, if possible, D'Arbino first sought help in the antechamber. He found there the marquis's valet, assisting the Cavaliere Finello (who was just taking his departure) to put on his cloak. \n\nWhile Finello and his friend carried Fabio to an open window in the antechamber, the valet procured some iced water. This simple remedy, and the change of atmosphere, proved enough to restore the fainting man to his senses, but hardly--as it seemed to his friends--to his former self. They noticed a change to blankness and stillness in his face, and when he spoke, an indescribable alteration in the tone of his voice. \n\n\"I found you in a room in the corridor,\" said D'Arbino. \"What made you faint? Don't you remember? Was it the heat?\" \n\nFabio waited for a moment, painfully collecting his ideas. He looked at the valet, and Finello signed to the man to withdraw. \n\n\"Was it the heat?\" repeated D'Arbino. \n\n\"No,\" answered Fabio, in strangely hushed, steady tones. \"I have seen the face that was behind the yellow mask.\" \n\n\"Well?\" \n\n\"It was the face of my dead wife.\" \n\n\"Your dead wife!\" \n\n\"When the mask was removed I saw her face. Not as I remember it in the pride of her youth and beauty--not even as I remember her on her sick-bed--but as I remember her in her coffin.\" , question: Who was he searching for?\n", "labels": "Count Fabio d'Ascoli", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-10862303de85456d87b4a84ac232fa8d"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER VIII \n\nAnd these two, as I have told you, Were the friends of Hiawatha, Chibiabos, the musician, And the very strong man, Kwasind. --Hiawatha \n\nTorpenhow was paging the last sheets of some manuscript, while the Nilghai, who had come for chess and remained to talk tactics, was reading through the first part, commenting scornfully the while. \n\n\"It's picturesque enough and it's sketchy,\" said he; \"but as a serious consideration of affairs in Eastern Europe, it's not worth much.\" \n\n\"It's off my hands at any rate. . . . Thirty-seven, thirty-eight, thirty-nine slips altogether, aren't there? That should make between eleven and twelve pages of valuable misinformation. Heigh-ho!\" Torpenhow shuffled the writing together and hummed-- \n\n'Young lambs to sell, young lambs to sell, If I'd as much money as I could tell, I never would cry, Young lambs to sell!'\" \n\nDick entered, self-conscious and a little defiant, but in the best of tempers with all the world. \n\n\"Back at last?\" said Torpenhow. \n\n\"More or less. What have you been doing?\" \n\n\"Work. Dickie, you behave as though the Bank of England were behind you. Here's Sunday, Monday, and Tuesday gone and you haven't done a line. It's scandalous.\" \n\n\"The notions come and go, my children--they come and go like our 'baccy,\" he answered, filling his pipe. \"Moreover,\" he stooped to thrust a spill into the grate, \"Apollo does not always stretch his----Oh, confound your clumsy jests, Nilghai!\" \n\n\"This is not the place to preach the theory of direct inspiration,\" said the Nilghai, returning Torpenhow's large and workmanlike bellows to their nail on the wall. \"We believe in cobblers\" wax. La!--where you sit down.\" , question: How does he describe what he reads?\n", "labels": "\"It's picturesque enough and it's sketchy,\"", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-7722431617ac484bbe54ee2e2887e52e"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER VIII \n\nAnd these two, as I have told you, Were the friends of Hiawatha, Chibiabos, the musician, And the very strong man, Kwasind. --Hiawatha \n\nTorpenhow was paging the last sheets of some manuscript, while the Nilghai, who had come for chess and remained to talk tactics, was reading through the first part, commenting scornfully the while. \n\n\"It's picturesque enough and it's sketchy,\" said he; \"but as a serious consideration of affairs in Eastern Europe, it's not worth much.\" \n\n\"It's off my hands at any rate. . . . Thirty-seven, thirty-eight, thirty-nine slips altogether, aren't there? That should make between eleven and twelve pages of valuable misinformation. Heigh-ho!\" Torpenhow shuffled the writing together and hummed-- \n\n'Young lambs to sell, young lambs to sell, If I'd as much money as I could tell, I never would cry, Young lambs to sell!'\" \n\nDick entered, self-conscious and a little defiant, but in the best of tempers with all the world. \n\n\"Back at last?\" said Torpenhow. \n\n\"More or less. What have you been doing?\" \n\n\"Work. Dickie, you behave as though the Bank of England were behind you. Here's Sunday, Monday, and Tuesday gone and you haven't done a line. It's scandalous.\" \n\n\"The notions come and go, my children--they come and go like our 'baccy,\" he answered, filling his pipe. \"Moreover,\" he stooped to thrust a spill into the grate, \"Apollo does not always stretch his----Oh, confound your clumsy jests, Nilghai!\" \n\n\"This is not the place to preach the theory of direct inspiration,\" said the Nilghai, returning Torpenhow's large and workmanlike bellows to their nail on the wall. \"We believe in cobblers\" wax. La!--where you sit down.\" , question: How many pages does that make\n", "labels": "between eleven and twelve", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-57341ad3857c4005b4fb1e2cfcbd7c11"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER XXX \n\nFERN Mullins rushed into the house on a Saturday morning early in September and shrieked at Carol, \"School starts next Tuesday. I've got to have one more spree before I'm arrested. Let's get up a picnic down the lake for this afternoon. Won't you come, Mrs. Kennicott, and the doctor? Cy Bogart wants to go--he's a brat but he's lively.\" \n\n\"I don't think the doctor can go,\" sedately. \"He said something about having to make a country call this afternoon. But I'd love to.\" \n\n\"That's dandy! Who can we get?\" \n\n\"Mrs. Dyer might be chaperon. She's been so nice. And maybe Dave, if he could get away from the store.\" \n\n\"How about Erik Valborg? I think he's got lots more style than these town boys. You like him all right, don't you?\" \n\nSo the picnic of Carol, Fern, Erik, Cy Bogart, and the Dyers was not only moral but inevitable. \n\nThey drove to the birch grove on the south shore of Lake Minniemashie. Dave Dyer was his most clownish self. He yelped, jigged, wore Carol's hat, dropped an ant down Fern's back, and when they went swimming (the women modestly changing in the car with the side curtains up, the men undressing behind the bushes, constantly repeating, \"Gee, hope we don't run into poison ivy\"), Dave splashed water on them and dived to clutch his wife's ankle. He infected the others. Erik gave an imitation of the Greek dancers he had seen in vaudeville, and when they sat down to picnic supper spread on a lap-robe on the grass, Cy climbed a tree to throw acorns at them. , question: Which lake did they go to?\n", "labels": "Lake Minniemashie", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-caec6770f3c548719bfdba598f0fac10"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- The megayacht that Steve Jobs commissioned in the final years of his life has been impounded in Amsterdam after a payment dispute involving the designer, Philippe Starck. \n\nThe Venus, a 100-million-euro ($137.5 million), 260-foot-long yacht, made its unofficial debut in late October. It's currently stuck in the Port of Amsterdam after Starck hired a debt-collection agency to attempt to remit the final payment for his design. \n\nAccording to lawyers at Ubik -- Starck's design company -- speaking with Reuters, the designer has only received 6 million of the 9-million-euro commission and is seeking the rest of the payment before the Venus will be released. \n\n\"These guys [Jobs and Starck] trusted each other, so there wasn't a very detailed contract,\" Roelant Klaassen, a lawyer for Ubik, told Reuters. \n\nThe Venus is a floating ode to both Jobs and Starck's minimalist aesthetic. Made entirely out of aluminum, with 40-foot-long floor-to-ceiling windows lining the passenger compartment and seven 27-inch iMacs making up the command center. \n\nIn Walter Isaacson's biography of Jobs, the late Apple CEO is quoted as saying that, \"I know that it's possible I will die and leave Laurene with a half-built boat, but I have to keep going on. If I don't, it's an admission that I'm about to die.\" \n\nSubscribe to WIRED magazine for less than $1 an issue and get a FREE GIFT! Click here! \n\nCopyright 2011 Wired.com. \n\n, question: What was the dispute about?\n", "labels": "Money being not payed to Starck's", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-7140fe6691eb4d18b6b26bc9c6a394a5"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (PEOPLE.com) -- Theodore \"Teddy\" Forstmann, a veteran business leader and philanthropist who was romantically linked to Padma Lakshmi, died Sunday. He was 71. \n\nForstmann suffered from brain cancer, his spokesman tells The New York Times. \n\nAlthough the famed billionaire never married, he dated \"Top Chef\" host Lakshmi, 41, over the last several years. Their relationship made headlines when she gave birth to now 1-year-old daughter Krishna in February 2010, which spawned speculation over the identity of the father. (Venture capitalist Adam Dell was later revealed as the father.) \n\nForstmann was also briefly linked to Princess Diana. According to \"The Diana Chronicles\" by Newsweek and The Daily Beast editor Tina Brown, the two were plotting to wed in the last weeks of her life. \n\nForstmann, who invested in companies ranging from Gulfstream Aerospace to Dr. Pepper, is survived by his two sons, Siya and Everest, brothers Anthony and John, and sisters Marina Forstmann Day and Elissa Forstmann Moran. \n\nSee the full article at PEOPLE.com. \n\n\u00a9 2011 People and Time Inc. All rights reserved. \n\n, question: Who were they?\n", "labels": "Siya and Everest", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-76f27e9bd14342d0b482cb0e8509acdb"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER III \n\n_Danny Meadow Mouse Plays Hide and Seek_ \n\nLife is always a game of hide and seek to Danny Meadow Mouse. You see, he is such a fat little fellow that there are a great many other furry-coated people, and almost as many who wear feathers, who would gobble Danny up for breakfast or for dinner if they could. Some of them pretend to be his friends, but Danny always keeps his eyes open when they are around and always begins to play hide and seek. Peter Rabbit and Jimmy Skunk and Striped Chipmunk and Happy Jack Squirrel are all friends whom he can trust, but he always has a bright twinkling eye open for Reddy Fox and Billy Mink and Shadow the Weasel and old Whitetail the Marsh Hawk, and several more, especially Hooty the Owl at night. \n\nNow Danny Meadow Mouse is a stout-hearted little fellow, and when rough Brother North Wind came shouting across the Green Meadows, tearing to pieces the snow clouds and shaking out the snowflakes until they covered the Green Meadows deep, deep, deep, Danny just snuggled down in his warm coat in his snug little house of grass and waited. Danny liked the snow. Yes, sir, Danny Meadow Mouse liked the snow. He just loved to dig in it and make tunnels. Through those tunnels in every direction he could go where he pleased and when he pleased without being seen by anybody. It was great fun! \n\nEvery little way he made a little round doorway up beside a stiff stalk of grass. Out of this he could peep at the white world, and he could get the fresh cold air. Sometimes, when he was quite sure that no one was around, he would scamper across on top of the snow from one doorway to another, and when he did this, he made the prettiest little footprints. , question: How does Brother North Wind make it snow?\n", "labels": "tearing to pieces the snow clouds and shaking out the snowflakes", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-1900706c64ec4d2db36d9e96a3dbd287"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: A Texas teen who's been jailed more than four months for a Facebook comment he made during a video-game argument is finally getting a day in court that could let him go home. \n\nJustin Carter, who was 18 when he was arrested, will appear in Comal County (Texas) District Court on Tuesday, July 16, for a bond hearing, according to his lawyer, Don Flanary. \n\nFlanary told CNN he will argue to have Carter's $500,000 bond, which his family cannot afford to cover, reduced. \n\nFlanary, who is working the case for free, met with Carter for the first time on Tuesday. He said Carter is not doing well, and his family says he has been placed on suicide watch. \n\n\"Justin is in bad shape and has suffered quite a bit of abuse while in jail,\" Flanary said in an e-mail. \"We will likely bring out these issues at the bond hearing.\" \n\nHe did not elaborate on the type of abuse claimed by Carter, who is now 19. \n\nIn February, Carter and a friend were arguing on Facebook with someone else over the online video game \"League of Legends.\" \n\nHis father told CNN that the other gamer called Justin crazy and his son responded with sarcasm. \n\nAccording to court documents, Justin wrote, \"I'm f***ed in the head alright. I think I'ma (sic) shoot up a kindergarten and watch the blood of the innocent rain down and eat the beating heart of one of them.\" \n\nJack Carter said his son followed the claim with \"LOL\" and \"J/K\" -- indicating that the comment wasn't serious. , question: what video game were they playing?\n", "labels": "\"League of Legends.\"", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-12914269235047c098fd91b24b09d178"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- Jason Priestley played Brandon Walsh on \"Beverly Hills 90210\" from 1990 to 1998. Having long since hung up his Peach Pit uniform and Beverly Hills Beach Club cabana boy polo shirt, his character became a journalist and departed to take a job at the Washington Bureau of the New York Chronicle, and Priestley left the show four episodes into the series' ninth season. \n\n\"I felt that the character of Brandon had kind of run his course. I had explored everything I wanted to explore with him,\" Priestley told CNN while promoting his new book, \"Jason Priestley: A Memoir\" (HarperOne) at the New York Bureau of CNN. \n\n\"In retrospect, I do regret leaving. Understanding what I do now about story and character, I believe that [Aaron Spelling] was pushing the story in a direction that would have had Brandon and Kelly end up together at the end of the show and I think I probably should have stuck around to its fruition.\" \n\nFans of \"90210\" surely remember Kelly Taylor's (Jennie Garth) \"I choose me\" speech following Brandon and Dylan McKay's (Luke Perry) showdown for her affections. Brandon wanted Kelly to marry him. Dylan wanted to take her on a trip around the world. But Priestley believes Executive Producer Aaron Spelling had always envisioned Brandon and Kelly riding off into the sunset. \n\n\"I think my departure also hurt Aaron's feelings,\" continued Priestley. \"Aaron and I had worked very closely together for a number of years. He gave me a lot of opportunities, and I feel like my departure hurt his feelings and I never meant to do that.\" , question: Who would Brandon have probably ended up with?\n", "labels": "Brandon and Kelly", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-c7514b3505e04bafb790180d645c7176"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: It's not just gloves that can help people keep warm in winter. Love can, too. A pair of 16-year-old American twins, Jack and Jake Moran, stared a program called \"Warm Hearts, Warm Hands\" last month. Their aim was to collect new and used gloves with fellow students at Richards High School. \"We started this program a few weeks ago after we saw something on the news about a student who got frostbite riding his bike to school,\" Jack said. \"I just kind of realized that there are so many kids who don't have or wear gloves. The school has started the collection competition among classes, and the class that collects the most gloves gets a pizza party. The twin brothers talked to other students about their program. Many teachers also joined in, bringing in gloves and encouraging their students to help meet the needs of local community members. \"The conversations we are having now aren't so much about what actions we can take, but about _ .This program has really shown me that I don't need to get on a plane and go to help refugees to make a difference. I can do it right here. I can do it every day.\" Jake said. More than 500 pairs of gloves have been collected in a month and more donations are coming in every day, including hats and scarves., question: where did they start the program?\n", "labels": "at Richards High School", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-162e2178ceee499ebd332b9eb5b0eb60"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- \"L.A. Law\" had buzz right from the moment it premiered in 1986. \n\nCo-created by Steven Bochco, hot off his success with \"Hill Street Blues,\" the series was set at the high-priced Los Angeles law firm of McKenzie, Brackman, Chaney and Kuzak. \n\nThe cast was glossy and diverse, including Jimmy Smits, Blair Underwood, Jill Eikenberry, Michael Tucker, Susan Dey, Richard Dysart, Alan Rachins and Corbin Bernsen. \n\nMost of all, it pushed the boundaries of the legal show the way \"Hill Street\" did with cop shows. \n\n\"L.A. Law's\" principals argued cases involving rape, capital punishment, big business, child molestation, AIDS and medical malpractice at a time when such subjects were seldom mentioned on prime-time television, and certainly not in such detail. This was no \"Perry Mason,\" or even \"The Defenders.\" \n\nBochco being Bochco, the hard stuff was paired with moments of silly humor and steamy sex (or silly sex and steamy humor), making for a high-wire balance of drama and comedy. \n\nOne first-season episode got people talking about a fictional sex act called the \"Venus Butterfly\"; later, the show actually killed off a character by dropping her down an elevator shaft. \n\nThe big hair and big-shouldered suits of the '80s may be gone, but the show remains influential. David E. Kelley, a real-life lawyer who later created \"Picket Fences,\" \"The Practice\" and \"Ally McBeal,\" got his television start as a writer on \"L.A. Law.\" \n\nThe show's first season is finally out on DVD, with the second expected to follow in a few months. CNN spoke to Smits, now a star of \"Sons of Anarchy\" who played idealistic Hispanic attorney Victor Sifuentes, and Alan Rachins, who played bottom-line-oriented partner Douglas Brackman Jr. and later starred on \"Dharma and Greg,\" about the show and its impact. , question: and what show is he on now?\n", "labels": "\"Sons of Anarchy\"", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-f1025e7a99f94e43b2f6c1fb57032eee"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Brave Frenchman Found Half-way Around the World \n\n(NEW YORK) A French tourist highly praised for rescuing a two-year-old girl in Manhattan said he didn't think twice before diving into the freezing East River. \n\nTuesday's Daily News said 29-year who left the spot quickly after the rescue last Saturday. \n\nHe lifted the little girl out of the water after she fell off the bank at the South Street Scaport museum. He handed the girl to her father, David Anderson, who had dived in after him. \n\n\"I didn't think at all,\" Duret told the Daily News. \"It happened very fast. I reacted very fast. \" \n\nDuret, an engineer on vacation ,was walking with his girlfriend along the pier when he saw something falling into the water . He thought it was a doll, but realized it was a child when he approached the river. In an instant ,he took off his coat and jumped into the water. \n\nWhen he reached the girl, she appeared lifeless, he said . Fortunately, when she was out of the water, she opened her eyes. \n\nAnderson said his daughter slipped off the bank when he was adjusting his camera. An ambulance came later for her, said Duret, who was handed dry clothes from cookers. Duret caught a train with his girlfriend shortly after. \n\nThe rescue happened on the day before he left for France. Duret said he didn't realize his tale of heroism until he was leaving the next morning . \"I don't really think I'm a hero,\" said Duret. \"Anyone would do the same ting. \", question: where was the young lady when she fell?\n", "labels": "the South Street Scaport museum.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-512bccfeebbc4315bd038dad0fa16dcd"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: James VI and I (James Charles Stuart; 19 June 1566\u00a0\u2013 27 March 1625) was King of Scotland as James VI from 24 July 1567 and King of England and Ireland as James I from the union of the Scottish and English crowns on 24 March 1603 until his death. The kingdoms of Scotland and England were individual sovereign states, with their own parliaments, judiciary, and laws, though both were ruled by James in personal union. \n\nJames was the son of Mary, Queen of Scots, and a great-great-grandson of Henry VII, King of England and Lord of Ireland, positioning him to eventually accede to all three thrones. James succeeded to the Scottish throne at the age of thirteen months, after his mother Mary was compelled to abdicate in his favour. Four different regents governed during his minority, which ended officially in 1578, though he did not gain full control of his government until 1583. In 1603, he succeeded the last Tudor monarch of England and Ireland, Elizabeth I, who died without issue. He continued to reign in all three kingdoms for 22 years, a period known after him as the Jacobean era, until his death in 1625 at the age of 58. After the Union of the Crowns, he based himself in England (the largest of the three realms) from 1603, only returning to Scotland once in 1617, and styled himself \"King of Great Britain and Ireland\". He was a major advocate of a single parliament for England and Scotland. In his reign, the Plantation of Ulster and British colonization of the Americas began., question: What happened to the crowns of Scotland and England?\n", "labels": "his mother Mary was compelled to abdicate", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-0f75a8be823b42cfb6f55ef7fd826aab"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN) -- ISIS has released a new video of British hostage John Cantlie, this time showing him in the Syrian border city of Kobani. \n\nIn a segment that lasts for more than five minutes, Cantlie argues that -- unlike Western media accounts of recent days -- Kobani is mostly under control of the terror group, which calls itself the Islamic state. \n\nHe claims that ISIS fighters are mopping up, and that the all-out battle for the city is over. Kurdish forces in Syria have said the fight is far from finished, and that Iraqi Kurdish forces will soon be joining them. \n\nKurdish forces and ISIS militants have been clashing in the key border city for more than a month. On Sunday, the Syrian Observatory for Human Rights said at least 800 people have been killed there since the fighting started. \n\nThe video posted online Monday is the latest ISIS has released of Cantlie, who's been held hostage for nearly two years. \n\nThe British photojournalist, who also wrote several articles for major British newspapers, was kidnapped in November 2012 along with American journalist James Foley. In the first video of him released by the group last month, Cantlie made clear that he was forced to share a message from ISIS. \n\nThe video released Monday portrays Cantlie as a reporter in the field describing Kobani. The hostage, dressed in black, appears close enough to the border to see Turkish flags in the background. \n\n\"It seemed almost like a standup that a CNN correspondent would do in a foreign city,\" Peter Bergen, CNN national security analyst, said. \"It was designed to show that he's relaxed, that what he's saying is accurate. But clearly he's under duress.\" , question: How long is the video?\n", "labels": "more than five minutes", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-324357e17a3744e6a8c57129f0763339"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: The Crimean War was a military conflict fought between October 1853 \u2013 March 1856 in which Russia lost to an alliance of France, the United Kingdom, the Ottoman Empire, and Sardinia. The immediate cause involved the rights of Christian minorities in the Holy Land, which was controlled by the Ottoman Empire. The French promoted the rights of Catholics, while Russia promoted those of the Eastern Orthodox Christians. The longer-term causes involved the decline of the Ottoman Empire and the unwillingness of the United Kingdom and France to allow Russia to gain territory and power at Ottoman expense. It has widely been noted that the causes, in one case involving an argument over a key, have never revealed a \"greater confusion of purpose\", yet led to a war noted for its \"notoriously incompetent international butchery.\" \n\nWhile the churches eventually worked out their differences and came to an initial agreement, both Nicholas I of Russia and Napoleon III refused to back down. Nicholas issued an ultimatum that the Orthodox subjects of the Empire be placed under his protection. Britain attempted to mediate, and arranged a compromise that Nicholas agreed to. When the Ottomans demanded changes, Nicholas refused and prepared for war. Having obtained promises of support from France and Britain, the Ottomans officially declared war on Russia in October 1853., question: Who agreed to help the Ottomans?\n", "labels": "France and Britain", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-160667c93ac64800bf4bffaf866b3d49"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: (CNN)Prison life won't be pretty for Aaron Hernandez, the former NFL player and convicted murderer sentenced to life without parole. \n\nAfter correction officers evaluate him, he will be shipped to Massachusetts' flagship maximum-security prison, one of the most high-tech jails in the United States with no history of breakouts: the Souza-Baranowski Correctional Center in Shirley, about 40 miles outside downtown Boston. \n\nIt's called Souza, for short, and it's the state's newest prison, opened in 1998, with a matrix of 366 cameras recording live 24 hours a day and a microwave detection perimeter with taut wire. \n\n\"I don't know the date, but he'll be going there. That's the maximum-security facility,\" Department of Corrections spokesman Darren Duarte said. \n\nLegal advocates for inmates describe Souza as sterile and violent at once. Its diverse demographic includes the young and the old, many of whom are also doing life. One stubborn problem is that opiates are smuggled to inmates, the legal advocates said. \n\n\"It's very shiny and clean looking and very sterile,\" said Leslie Walker, executive director of Prisoners' Legal Services of Massachusetts, who has been visiting the Souza prison about every six weeks for the past 15 years and serves indigent prisoners there. \n\nBut, she added: \"It is a very dangerous prison that is right now experiencing a veritable flood of opiates.\" \n\nOfficials said Hernandez, 25, is being processed at the maximum-security Massachusetts Correctional Institution-Cedar Junction in Walpole, just a handful of miles from Gillette Stadium, where he once played tight end for the New England Patriots under a five-year $40 million contract. , question: What jail is he going to?\n", "labels": "Souza-Baranowski Correctional Center", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-97979789b84e4c4691f89e860b481681"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Oakland is the largest city and the county seat of Alameda County, California, United States. A major West Coast port city, Oakland is the largest city in the East Bay region of the San Francisco Bay Area, the third largest city overall in the San Francisco Bay Area, the eighth largest city in California, and the 45th largest city in the United States, with a population of 419,267 . It serves as a trade center for the San Francisco Bay Area; its Port of Oakland is the busiest port in the San Francisco Bay, the entirety of Northern California, and the fifth busiest in the United States of America. The city was incorporated in 1852. \n\nOakland's territory covers what was once a mosaic of California coastal terrace prairie, oak woodland, and north coastal scrub. Its land served as a rich resource when its hillside oak and redwood timber were logged to build San Francisco, and Oakland's fertile flatland soils helped it become a prolific agricultural region. In the late 1860s, Oakland was selected as the western terminal of the Transcontinental Railroad. Following the 1906 San Francisco earthquake, many San Francisco citizens moved to Oakland, enlarging the city's population, increasing its housing stock and improving its infrastructure. It continued to grow in the 20th century with its busy port, shipyards, and a thriving automobile manufacturing industry., question: What is its name?\n", "labels": "Its called Oakland", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-3234f97bc05e418e9c4dfdc190ed19bf"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Spiderman is one of the most famous comic book heroes of all time. He was created by Stan Lee in 1963 and was first introduced to the world in the pages of Marvel Comic Books. Spiderman's story is the story of Peter Parker, a child who lost his parents and lives with his aunt and uncle. Peter is a shy, quiet boy wearing glasses and has few friends. One day, on a high school class trip to a science lab, he gets bitten by a special spider. Soon Peter realizes he has amazing powers: he is as strong and quick as a spider and also has a type of sixth sense. He no longer needs his glasses and he can use his super power to fly through the city streets! Remembering something his Uncle Ben has told him _ ,Peter decides to use his powers to fight against enemies who do cruel things to people. And so, Spiderman is born. Life is not easy for Peter even though he is a superhero. He is in love with Mary Jane but he can't tell her about his amazing powers. Besides, his best friend Harry hates Spiderman! Peter is also short of money and time. He has to sell photos of Spiderman (himself!) to a newspaper and he keeps losing his other jobs because he's so busy saving people! Yet he has to fight against different kinds of cruel enemies., question: what bites him?\n", "labels": "a special spider", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-fdfe60f8814144ff9ba822e48790f4fb"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Spiderman is one of the most famous comic book heroes of all time. He was created by Stan Lee in 1963 and was first introduced to the world in the pages of Marvel Comic Books. Spiderman's story is the story of Peter Parker, a child who lost his parents and lives with his aunt and uncle. Peter is a shy, quiet boy wearing glasses and has few friends. One day, on a high school class trip to a science lab, he gets bitten by a special spider. Soon Peter realizes he has amazing powers: he is as strong and quick as a spider and also has a type of sixth sense. He no longer needs his glasses and he can use his super power to fly through the city streets! Remembering something his Uncle Ben has told him _ ,Peter decides to use his powers to fight against enemies who do cruel things to people. And so, Spiderman is born. Life is not easy for Peter even though he is a superhero. He is in love with Mary Jane but he can't tell her about his amazing powers. Besides, his best friend Harry hates Spiderman! Peter is also short of money and time. He has to sell photos of Spiderman (himself!) to a newspaper and he keeps losing his other jobs because he's so busy saving people! Yet he has to fight against different kinds of cruel enemies., question: what did the spider bite do?\n", "labels": "gave him amazing powers", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-a9aa9ca7b46548b58082d2fde10575fe"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: This summer Frank and his friends went to Boy Scout camp for two weeks. At camp they had lots of fun activities like swimming, wood carving, and telling ghost stories. At camp there weren't any restaurants or grocery stores, so for food they would have to make their own meals. One thing they could do is make peanut butter sandwiches, which every scout was given at the start of camp. But pretty soon everyone was sick of peanut butter sandwiches and wanted to eat something else instead. Some boys went out into the forest and picked out berries and roots that were safe to eat. Some boys even took out the boat and went fishing. They came back with a big fish that they cleaned and cooked themselves. \n\nAt first, Frank's mom was very worried about letting Frank go to camp. She was worried that he could get lost in the woods and be eaten by a bear. She was worried that he might get into a fight with the other boys. She was even worried that he wouldn't shower or take a bath for the whole two weeks. But Frank's scout masters explained to Frank's mom that the camp leaders were very serious about taking care of the campers and that everything would be perfectly safe for Frank. Frank promised to call home at least every two days. So in the end Frank's mom let Frank go to camp., question: What was found in the forest to eat?\n", "labels": "Berries and roots", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-e22babeef26846b69394a473a85561f5"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Utah ( or ) is a state in the western United States. It became the 45th state admitted to the U.S. on January 4, 1896. Utah is the 13th-largest by area, 31st-most-populous, and 10th-least-densely populated of the 50 United States. Utah has a population of more than 3 million (Census estimate for July 1, 2016), approximately 80% of whom live along the Wasatch Front, centering on the state capital Salt Lake City. Utah is bordered by Colorado to the east, Wyoming to the northeast, Idaho to the north, Arizona to the south, and Nevada to the west. It also touches a corner of New Mexico in the southeast. \n\nApproximately 62% of Utahns are reported to be members of The Church of Jesus Christ of Latter-day Saints or LDS (Mormons), which greatly influences Utahn culture and daily life. The LDS Church's world headquarters is located in Salt Lake City. Utah is the only state with a majority population belonging to a single church. \n\nThe state is a center of transportation, education, information technology and research, government services, mining, and a major tourist destination for outdoor recreation. In 2013, the U.S. Census Bureau estimated that Utah had the second fastest-growing population of any state. St. George was the fastest-growing metropolitan area in the United States from 2000 to 2005. Utah also has the 14th highest median average income and the least income inequality of any U.S. state. A 2012 Gallup national survey found Utah overall to be the \"best state to live in\" based on 13 forward-looking measurements including various economic, lifestyle, and health-related outlook metrics., question: What did they base that on?\n", "labels": "13 forward-looking measurements", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-51fcc9b6524a491d877f1aa3571619b9"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: A music genre is a conventional category that identifies some pieces of music as belonging to a shared tradition or set of conventions. It is to be distinguished from \"musical form\" and \"musical style\", although in practice these terms are sometimes used interchangeably. Recently, academics have argued that categorizing music by genre is inaccurate and outdated. \n\nMusic can be divided into different genres in many different ways. The artistic nature of music means that these classifications are often subjective and controversial, and some genres may overlap. There are even varying academic definitions of the term \"genre \"itself. In his book \"Form in Tonal Music\", Douglass M. Green distinguishes between genre and form. He lists madrigal, motet, canzona, ricercar, and dance as examples of genres from the Renaissance period. To further clarify the meaning of \"genre\", Green writes, \"Beethoven's Op. 61 and Mendelssohn's Op. 64 are identical in genre \u2013 both are violin concertos \u2013 but different in form. However, Mozart's Rondo for Piano, K. 511, and the \"Agnus Dei\" from his Mass, K. 317 are quite different in genre but happen to be similar in form.\" Some, like Peter van der Merwe, treat the terms \"genre\" and \"style\" as the same, saying that \"genre\" should be defined as pieces of music that share a certain style or \"basic musical language.\" Others, such as Allan F. Moore, state that \"genre\" and \"style\" are two separate terms, and that secondary characteristics such as subject matter can also differentiate between genres. A music genre or subgenre may also be defined by the musical techniques, the style, the cultural context, and the content and spirit of the themes. Geographical origin is sometimes used to identify a music genre, though a single geographical category will often include a wide variety of subgenres. Timothy Laurie argues that since the early 1980s, \"genre has graduated from being a subset of popular music studies to being an almost ubiquitous framework for constituting and evaluating musical research objects\"., question: Which pieces did he argue with the same genre but had different forms?\n", "labels": "Beethoven's Op. 61 and Mendelssohn's Op. 64", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-c9a0591c97ea43e9a9eb11335fa4508a"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: A music genre is a conventional category that identifies some pieces of music as belonging to a shared tradition or set of conventions. It is to be distinguished from \"musical form\" and \"musical style\", although in practice these terms are sometimes used interchangeably. Recently, academics have argued that categorizing music by genre is inaccurate and outdated. \n\nMusic can be divided into different genres in many different ways. The artistic nature of music means that these classifications are often subjective and controversial, and some genres may overlap. There are even varying academic definitions of the term \"genre \"itself. In his book \"Form in Tonal Music\", Douglass M. Green distinguishes between genre and form. He lists madrigal, motet, canzona, ricercar, and dance as examples of genres from the Renaissance period. To further clarify the meaning of \"genre\", Green writes, \"Beethoven's Op. 61 and Mendelssohn's Op. 64 are identical in genre \u2013 both are violin concertos \u2013 but different in form. However, Mozart's Rondo for Piano, K. 511, and the \"Agnus Dei\" from his Mass, K. 317 are quite different in genre but happen to be similar in form.\" Some, like Peter van der Merwe, treat the terms \"genre\" and \"style\" as the same, saying that \"genre\" should be defined as pieces of music that share a certain style or \"basic musical language.\" Others, such as Allan F. Moore, state that \"genre\" and \"style\" are two separate terms, and that secondary characteristics such as subject matter can also differentiate between genres. A music genre or subgenre may also be defined by the musical techniques, the style, the cultural context, and the content and spirit of the themes. Geographical origin is sometimes used to identify a music genre, though a single geographical category will often include a wide variety of subgenres. Timothy Laurie argues that since the early 1980s, \"genre has graduated from being a subset of popular music studies to being an almost ubiquitous framework for constituting and evaluating musical research objects\"., question: What do recent academics think  about this type of categorization?\n", "labels": "that it is inaccurate and outdated", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-753c99b4f7c5492e86d5f9353c5e2500"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Karachi (; ALA-LC: , ; ) is the capital of the Pakistani province of Sindh. It is the most populous city in Pakistan, sixth most populous city proper in the world and the 8th most populous metropolitan city in the world. Ranked as a beta world city, the city is Pakistan's premier industrial and financial centre. Karachi is also Pakistan's most cosmopolitan city. Situated on the Arabian Sea, Karachi serves as a transport hub, and is home to two of Pakistan's two largest seaports, the Port of Karachi and Port Bin Qasim, as well as the busiest airport in Pakistan. \n\nThough the Karachi region has been inhabited for millennia, the city was founded as a fortified village named \"Kolachi\" in 1729. The settlement drastically increased in importance with the arrival of British East India company in the mid 19th century, who not only embarked on major works to transform the city into a major seaport, but also connected it with their extensive railway network. By the time of the Partition of British India, the city was the largest in Sindh with an estimated population of 400,000. Following the independence of Pakistan, the city's population increased dramatically with the arrival of hundreds of thousands of Muslim refugees from India. The city experienced rapid economic growth following independence, attracting migrants from throughout Pakistan and South Asia., question: What made it grow in importance?\n", "labels": "Arrival of British East India company", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-1f38b8ea1c60468484b06a413e9c9046"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Karachi (; ALA-LC: , ; ) is the capital of the Pakistani province of Sindh. It is the most populous city in Pakistan, sixth most populous city proper in the world and the 8th most populous metropolitan city in the world. Ranked as a beta world city, the city is Pakistan's premier industrial and financial centre. Karachi is also Pakistan's most cosmopolitan city. Situated on the Arabian Sea, Karachi serves as a transport hub, and is home to two of Pakistan's two largest seaports, the Port of Karachi and Port Bin Qasim, as well as the busiest airport in Pakistan. \n\nThough the Karachi region has been inhabited for millennia, the city was founded as a fortified village named \"Kolachi\" in 1729. The settlement drastically increased in importance with the arrival of British East India company in the mid 19th century, who not only embarked on major works to transform the city into a major seaport, but also connected it with their extensive railway network. By the time of the Partition of British India, the city was the largest in Sindh with an estimated population of 400,000. Following the independence of Pakistan, the city's population increased dramatically with the arrival of hundreds of thousands of Muslim refugees from India. The city experienced rapid economic growth following independence, attracting migrants from throughout Pakistan and South Asia., question: What did they do for the city?\n", "labels": "The settlement drastically increased in importance", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-934c615dd3a04ef5998f6822db020658"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: The Federated States of Micronesia (; abbreviated FSM and also known simply as Micronesia) is an independent sovereign island nation and a United States associated state consisting of four states from west to east, Yap, Chuuk, Pohnpei and Kosraethat are spread across the Western Pacific Ocean. Together, the states comprise around 607 islands (a combined land area of approximately ) that cover a longitudinal distance of almost just north of the equator. They lie northeast of New Guinea, south of Guam and the Marianas, west of Nauru and the Marshall Islands, east of Palau and the Philippines, about north of eastern Australia and some southwest of the main islands of Hawaii. \n\nWhile the FSM's total land area is quite small, it occupies more than of the Pacific Ocean, giving the country the 14th largest Exclusive Economic Zone in the world. The capital is Palikir, located on Pohnpei Island, while the largest city is Weno, located in the Chuuk Atoll. \n\nEach of its four states is centered on one or more main high islands, and all but Kosrae include numerous outlying atolls. The Federated States of Micronesia is spread across part of the Caroline Islands in the wider region of Micronesia, which consists of thousands of small islands divided among several countries. The term \"Micronesia\" may refer to the Federated States or to the region as a whole., question: what else can it refer to?\n", "labels": "to the region as a whole.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-a2d2c02e0faa4687968d6f6d958629e5"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Ibn Rushd (; 14 April 1126 \u2013 10 December 1198), full name (), often Latinized as Averroes (), was a medieval Andalusian polymath. He wrote on logic, Aristotelian and Islamic philosophy, theology, the Maliki school of Islamic jurisprudence, psychology, political and Andalusian classical music theory, geography, mathematics, and the medi\u00e6val sciences of medicine, astronomy, physics, and celestial mechanics. Ibn Rushd was born in C\u00f3rdoba, Al Andalus (present-day Spain), and died at Marrakesh in present-day Morocco. His body was interred in his family tomb at C\u00f3rdoba. The 13th-century philosophical movement in Latin Christian and Jewish tradition based on Ibn Rushd's work is called Averroism. \n\nIbn Rushd was a defender of Aristotelian philosophy against Ash'ari theologians led by Al-Ghazali. Although highly regarded as a legal scholar of the Maliki school of Islamic law, Ibn Rushd's philosophical ideas were considered controversial in Ash'arite Muslim circles. Whereas al-Ghazali believed that any individual act of a natural phenomenon occurred only because God willed it to happen, Ibn Rushd insisted phenomena followed natural laws that God created. \n\nIbn Rushd had a greater impact on Christian Europe, being known by the \"the Commentator\" for his detailed emendations to Aristotle. Latin translations of Ibn Rushd's work led the way to the popularization of Aristotle., question: Against whom?\n", "labels": "against Ash'ari theologians", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-545c0349596444e7a652ce2a413f561a"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: When we talk about red packets, the most important question is \"What are you going to do with it?\" One thing you could do is to put your money in the bank. Maybe you don't know, some students in Hubei began to use the Xiaogui Dangjia bank card this year. This is a card for children. It is from China Minsheng Bank in Wuhan. Wang Ming is a 14-year-old junior student in Wuhan. He said \"All my pocket money has a place to go now. I can pay my own school fees .\" Zhu Yu, a manager of Minsheng Bank, said that they knew lots of students who didn't know how to use their money. So they wanted them to know how to use it carefully. Parents worry that children don't know how to take care of the money by themselves. Shen qiangqiang's mother like the card very much. Shen was asking his mother for a computer for a long time, but his mother didn't buy it for him. She said, \"We want him to use his card to save money for the computer. If we buy everything he asks for, he will think money comes too easily, and he won't work hard for it.\" Today, there are many different kinds of bank cards. They are from different banks. People put their money in them. Then they can use their money at any time. People can do many things with bank cards. They can wash cars, go shopping, eat delicious food and travel to other places with the money in their bank cards. The most important thing is not \"How much did you get?\" It is necessary for everyone to learn how to save your money and use your money correctly., question: What bank is the card from?\n", "labels": "China Minsheng Bank", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-a55360b8c3d84c0a93bda2f7086bdfba"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER XXV \n\nPERILS OF THE FLOOD \n\n\"Dave! Dave!\" yelled Ben, as he saw our hero disappear into the swiftly-flowing river. \"Look out, or you'll both be drowned!\" \n\n\"What's the trouble?\" yelled Jerry Blutt, as he turned back for the first time since leaving the island. \n\n\"Buster slipped in, and Dave went after him,\" answered Ben. \"Oh, what shall we do?\" he went on, despairingly. \n\n\"Here--we'll throw out the rope!\" answered the camp-worker, and took from his shoulder a rope he carried. \n\nIn the meantime Dave had come up and was striking out with might and main for his chum. Our hero realized that Buster must be hurt, otherwise he would swim to save himself. \n\n\"Must have struck on his head, when he went over,\" he thought, and he was right, poor Buster had done just that and now lay half-unconscious as the current swept him further and further from his friends. \n\nIt was too dark to see much, and Dave had all he could do to keep in sight of the unfortunate one. But presently the stout youth's body struck against a rock and was held there, and our hero came up and seized the lad by the arm. \n\n\"Buster! Buster!\" he called out. \"What's wrong? Can't you swim?\" \n\n\"Hel--help me!\" gasped the fat youth. \"I--I got a knock on the head. I'm so--so dizzy I do--don't know what I--I'm do--doing!\" \n\nThe current now tore Buster away from the rock, and he and Dave floated along on the bosom of the river for a distance of fifty yards. It was impossible to do much swimming in that madly-rushing element and Dave wisely steered for shore. He continued to support his friend, who seemed unable to do anything for himself. , question: what did Dave decide about Buster?\n", "labels": "that he must be hurt", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-50875106a2e74a15a6305f35437eaec7"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: CHAPTER XXVII. LEONARD DE CARTIENNE. \n\nWe all three stood and looked at one another for a moment, Milly Hart with her finger still pointing to the vacant place where the photograph had been. Then Cecil broke into a short laugh. \n\n\"We're looking very tragical about it,\" he said lightly. \"Mysterious joint disappearance of Leonard de Cartienne and a photograph of Mr. Hart. Now, if it had been a photograph of a pretty girl instead of a middle-aged man, we might have connected the two. Hallo!\" \n\nHe broke off in his speech and turned round. Standing in the doorway, looking at us, was Leonard de Cartienne, with a slight smile on his thin lips. \n\n\"Behold the missing link--I mean man!\" exclaimed Cecil. \"Good old Leonard! Do you know, you gave us quite a fright. We expected to find you here and the room was empty. Are you better?\" \n\n\"Yes, thanks! I'm all right now,\" he answered. \"I've been out in the yard and had a blow. What's Milly looking so scared about? And what was it I heard you say about a photograph?\" \n\n\"Father's likeness has gone,\" she explained, turning round with tears in her eyes. \"It was there on the mantelpiece this afternoon and now, when we came in to look at it, it has gone!\" \n\n\"I should think that, if it really has disappeared,\" de Cartienne remarked incredulously, \"the servant must have moved it. Ask her.\" \n\nMiss Hart rang the bell and in the meantime we looked about the room. It was all in vain. We could find no trace of it, nor could the servant who answered the summons give us any information. She had seen it in its usual place early in the morning when she had been dusting. Since then she had not entered the room. , question: Where was Milly Hart's finger pointing at?\n", "labels": "the vacant place", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-6004f0afcd3f40e09fa38acb1aa0fb7a"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Raleigh (/\u02c8r\u0251\u02d0li/; RAH-lee) is the capital of the state of North Carolina as well as the seat of Wake County in the United States. It is the second most populous city in North Carolina, after Charlotte. Raleigh is known as the \"City of Oaks\" for its many oak trees, which line the streets in the heart of the city. The city covers a land area of 142.8 square miles (370 km2). The U.S. Census Bureau estimated the city's population to be 439,896 as of July 1, 2014. It is also one of the fastest-growing cities in the country. The city of Raleigh is named after Sir Walter Raleigh, who established the lost Roanoke Colony in present-day Dare County. \n\nRaleigh is home to North Carolina State University and is part of the Research Triangle area, together with Durham (home of Duke University) and Chapel Hill (home of the University of North Carolina at Chapel Hill). The \"Triangle\" nickname originated after the 1959 creation of the Research Triangle Park, located in Durham & Wake Counties partway between the three cities and their universities. The Research Triangle region encompasses the U.S. Census Bureau's Raleigh-Durham-Chapel Hill Combined Statistical Area (CSA), which had an estimated population of 2,037,430 in 2013. The Raleigh Metropolitan Statistical Area (MSA) had an estimated population of 1,214,516 in 2013., question: what makes it a triangle?\n", "labels": "combination of three cities and their universities", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-f635de5016df441c870b40b45d7ea75a"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Raleigh (/\u02c8r\u0251\u02d0li/; RAH-lee) is the capital of the state of North Carolina as well as the seat of Wake County in the United States. It is the second most populous city in North Carolina, after Charlotte. Raleigh is known as the \"City of Oaks\" for its many oak trees, which line the streets in the heart of the city. The city covers a land area of 142.8 square miles (370 km2). The U.S. Census Bureau estimated the city's population to be 439,896 as of July 1, 2014. It is also one of the fastest-growing cities in the country. The city of Raleigh is named after Sir Walter Raleigh, who established the lost Roanoke Colony in present-day Dare County. \n\nRaleigh is home to North Carolina State University and is part of the Research Triangle area, together with Durham (home of Duke University) and Chapel Hill (home of the University of North Carolina at Chapel Hill). The \"Triangle\" nickname originated after the 1959 creation of the Research Triangle Park, located in Durham & Wake Counties partway between the three cities and their universities. The Research Triangle region encompasses the U.S. Census Bureau's Raleigh-Durham-Chapel Hill Combined Statistical Area (CSA), which had an estimated population of 2,037,430 in 2013. The Raleigh Metropolitan Statistical Area (MSA) had an estimated population of 1,214,516 in 2013., question: what is another nickname?\n", "labels": "it called \"City of Oaks\"", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-80e5d1b16b3248bb9c1b25dc4ed7604f"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Raleigh (/\u02c8r\u0251\u02d0li/; RAH-lee) is the capital of the state of North Carolina as well as the seat of Wake County in the United States. It is the second most populous city in North Carolina, after Charlotte. Raleigh is known as the \"City of Oaks\" for its many oak trees, which line the streets in the heart of the city. The city covers a land area of 142.8 square miles (370 km2). The U.S. Census Bureau estimated the city's population to be 439,896 as of July 1, 2014. It is also one of the fastest-growing cities in the country. The city of Raleigh is named after Sir Walter Raleigh, who established the lost Roanoke Colony in present-day Dare County. \n\nRaleigh is home to North Carolina State University and is part of the Research Triangle area, together with Durham (home of Duke University) and Chapel Hill (home of the University of North Carolina at Chapel Hill). The \"Triangle\" nickname originated after the 1959 creation of the Research Triangle Park, located in Durham & Wake Counties partway between the three cities and their universities. The Research Triangle region encompasses the U.S. Census Bureau's Raleigh-Durham-Chapel Hill Combined Statistical Area (CSA), which had an estimated population of 2,037,430 in 2013. The Raleigh Metropolitan Statistical Area (MSA) had an estimated population of 1,214,516 in 2013., question: is the city named for him?\n", "labels": "Yes named after Sir Walter Raleigh", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-8e428a37907e49569ed766f4c776023b"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Tony Hawken, 57, is divorcing his wife Xiu Li, 51, Britain's wealthiest woman entrepreneur , because he says he doesn't like being rich and is 'not in the habit' of spending lots of money. \n\nThe pair traded up their semi-detached home in South Norwood, London, and bought a PS1.5million house in Surrey. \n\nLi, who is now worth $1.2billion (PS700million) according to Forbes, quickly settled into a life which included sipping a PS900 bottle of wine on a luxurious yacht. \n\nHowever, Mr Hawken says he felt more comfortable getting lunch in his local Wetherspoon's. \n\nDespite his sudden wealth he continued to buy books from charity shops, and _ dear clothes. \n\nIn an interview with The Times, he said: 'I think it made me uncomfortable because I'm not in the habit, I don't like spending lots of money -- I've been brought up that way. \n\n'Until recently I was never a wealthy person. I've been moderately comfortable because I have been careful with my money.' \n\nNow the couple have decided to part, Mr Hawken will walk away with just PS1million, but says it will be enough for him. \n\nHe added: 'I have got a settlement which is not great, but it's enough for me because I don't have an extravagant lifestyle. I won't have to work if I'm careful.' \n\nOn a recent trip to China, Mr Hawken said his wife took him on a yacht and treated him to a PS900 bottle of wine, but he prefers his local Wetherspoon pub. \n\n'I'm getting a little pay when you consider her potential wealth, but I don't really want to fight it.' \n\nMr Hawken met Li on a blind date while he was still a teacher and she was studying English. \n\nThe couple married, but as Li's business took off the couple spent more and more time apart. Mr Hawken says the couple have spent most of the relationship apart. \n\nFar from driving them apart, Mr Hawken believes the distance kept them together, and says they would have divorced a long time ago if they were under the same roof. \n\nMr Hawken says his only regret is not getting a divorce sooner, but he didn't push for it over fears it would affect the couple's teenage son William, now 17. \n\nMr Hawken no longer teaches full-time, but instead gives free tuition to under-privileged children., question: Who is separating?\n", "labels": "Tony Hawken and Xiu Li", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-8e5ccaa459f84604a52f0df481749571"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Tony Hawken, 57, is divorcing his wife Xiu Li, 51, Britain's wealthiest woman entrepreneur , because he says he doesn't like being rich and is 'not in the habit' of spending lots of money. \n\nThe pair traded up their semi-detached home in South Norwood, London, and bought a PS1.5million house in Surrey. \n\nLi, who is now worth $1.2billion (PS700million) according to Forbes, quickly settled into a life which included sipping a PS900 bottle of wine on a luxurious yacht. \n\nHowever, Mr Hawken says he felt more comfortable getting lunch in his local Wetherspoon's. \n\nDespite his sudden wealth he continued to buy books from charity shops, and _ dear clothes. \n\nIn an interview with The Times, he said: 'I think it made me uncomfortable because I'm not in the habit, I don't like spending lots of money -- I've been brought up that way. \n\n'Until recently I was never a wealthy person. I've been moderately comfortable because I have been careful with my money.' \n\nNow the couple have decided to part, Mr Hawken will walk away with just PS1million, but says it will be enough for him. \n\nHe added: 'I have got a settlement which is not great, but it's enough for me because I don't have an extravagant lifestyle. I won't have to work if I'm careful.' \n\nOn a recent trip to China, Mr Hawken said his wife took him on a yacht and treated him to a PS900 bottle of wine, but he prefers his local Wetherspoon pub. \n\n'I'm getting a little pay when you consider her potential wealth, but I don't really want to fight it.' \n\nMr Hawken met Li on a blind date while he was still a teacher and she was studying English. \n\nThe couple married, but as Li's business took off the couple spent more and more time apart. Mr Hawken says the couple have spent most of the relationship apart. \n\nFar from driving them apart, Mr Hawken believes the distance kept them together, and says they would have divorced a long time ago if they were under the same roof. \n\nMr Hawken says his only regret is not getting a divorce sooner, but he didn't push for it over fears it would affect the couple's teenage son William, now 17. \n\nMr Hawken no longer teaches full-time, but instead gives free tuition to under-privileged children., question: what did he still buy?\n", "labels": "lunch in his local Wetherspoon's.", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-fd3def94dc104bc1ac56df0c1bd68992"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Easter eggs, also called Paschal eggs, are decorated eggs that are usually used as gifts on the occasion of Easter or springtime celebration. As such, Easter eggs are common during the season of Eastertide (Easter season). The oldest tradition is to use dyed and painted chicken eggs, but a modern custom is to substitute chocolate eggs wrapped in colourful foil, or plastic eggs filled with confectionery such as chocolate. Although eggs, in general, were a traditional symbol of fertility and rebirth, in Christianity, for the celebration of Eastertide, Easter eggs symbolize the empty tomb of Jesus, from which Jesus resurrected. In addition, one ancient tradition was the staining of Easter eggs with the colour red \"in memory of the blood of Christ, shed as at that time of his crucifixion.\" This custom of the Easter egg can be traced to early Christians of Mesopotamia, and from there it spread into Russia and Siberia through the Orthodox Churches, and later into Europe through the Catholic and Protestant Churches. This Christian use of eggs may have been influenced by practices in \"pre-dynastic period in Egypt, as well as amid the early cultures of Mesopotamia and Crete\". \n\nThe practice of decorating eggshells as part of spring rituals is ancient, with decorated, engraved ostrich eggs found in Africa which are 60,000 years old. In the pre-dynastic period of Egypt and the early cultures of Mesopotamia and Crete, eggs were associated with death and rebirth, as well as with kingship, with decorated ostrich eggs, and representations of ostrich eggs in gold and silver, were commonly placed in graves of the ancient Sumerians and Egyptians as early as 5,000 years ago. These cultural relationships may have influenced early Christian and Islamic cultures in those areas, as well as through mercantile, religious, and political links from those areas around the Mediterranean., question: to what period can the custom of easter eggs be traced?\n", "labels": "the pre-dynastic period", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-e1e06e677093460a86d72f19fe4bea05"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Sandra Bullock is one of the highest-profile actresses in Hollywood and also one of the world's most photographed moms. It's hard to pick up a tabloid that doesn't feature a photo of the Oscar-winner with her adopted 3-year-old son, Louis Bardot. And now Bullock is speaking out in support of a new law that increases penalties for paparazzi harassing the children of celebrities. \n\n\"We are fair game, I get it,\" Bullock told CNN at her handprint and footprint ceremony outside the TCL Chinese Theatre in Hollywood on Wednesday. \"Children should be allowed to be children and not be sold. You're taking a picture of a child and selling it!\" \n\nCalifornia Gov. Jerry Brown on Tuesday signed the bill, which increases the penalties for intentional harassment of a child because of their parents' employment. \n\nThe effort gained momentum after actresses Halle Berry and Jennifer Garner testified before the California Assembly Judiciary Committee in August to support the bill. The pair opened up about the hellish conditions faced by their children as a result of aggressive paparazzi. \n\nNicole Kidman knocked down by photog \n\nBullock commends the two on their fight. \n\n\"I think it's brilliant,\" she explains.\"The girls worked so hard, the attorney worked so hard, and I think it's a good sign.\" \n\nAccording to a release from the governor's office, the new law \"increases the maximum jail time for harassment of a child or ward because of the person's employment from six months in the county jail to a year in the county jail.\" , question: What is is job?\n", "labels": "Govenor of California", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-3a0ac81694804ba4aa111697f2cb944a"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: Sandra Bullock is one of the highest-profile actresses in Hollywood and also one of the world's most photographed moms. It's hard to pick up a tabloid that doesn't feature a photo of the Oscar-winner with her adopted 3-year-old son, Louis Bardot. And now Bullock is speaking out in support of a new law that increases penalties for paparazzi harassing the children of celebrities. \n\n\"We are fair game, I get it,\" Bullock told CNN at her handprint and footprint ceremony outside the TCL Chinese Theatre in Hollywood on Wednesday. \"Children should be allowed to be children and not be sold. You're taking a picture of a child and selling it!\" \n\nCalifornia Gov. Jerry Brown on Tuesday signed the bill, which increases the penalties for intentional harassment of a child because of their parents' employment. \n\nThe effort gained momentum after actresses Halle Berry and Jennifer Garner testified before the California Assembly Judiciary Committee in August to support the bill. The pair opened up about the hellish conditions faced by their children as a result of aggressive paparazzi. \n\nNicole Kidman knocked down by photog \n\nBullock commends the two on their fight. \n\n\"I think it's brilliant,\" she explains.\"The girls worked so hard, the attorney worked so hard, and I think it's a good sign.\" \n\nAccording to a release from the governor's office, the new law \"increases the maximum jail time for harassment of a child or ward because of the person's employment from six months in the county jail to a year in the county jail.\" , question: What does she think children should be\n", "labels": "\"Children should be allowed to be children", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-3163d935387a47cb9e2d77f84e3cef77"}, {"text": "Definition: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nInput: story: John was in the third grade, and nine years old. Every day he had to walk home from school. There were some kids in his class who were mean to him, and during the winter they would throw snowballs at him. John could have told the teacher, but one of the kids was a very pretty girl. She was mean, but John liked her because she was pretty and did not want her to get in trouble. \n\nOne day, his teacher asked John to stay after class to wipe off the chalkboard and to empty the pencil sharpener. By the time he was done, the other kids had gone home. They could no longer throw snowballs at him. John did not mind helping out his teacher, and he soon stayed after class every day. \n\nJohn was not very good at math, and sometimes his teacher would help him when he stayed after school. She said if John could help her out for at least two weeks, he could pass his math class. John thought it was a good deal, and ended up being much better at math., question: What did kids do to John?\n", "labels": "throw snowballs at him", "task_name": "task918_coqa_answer_generation", "task_category": "question_answering", "id": "task918-f03067ea6f384784bb2ce8d4391a1539"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * 11.27.cpp\n *\n *  Created on: 2011-11-27\n *      Author: Administrator\n */\nint coun;                    // ???????\nvoid depart(int n,int i)\n{\n   int j;\n   if (n==1) coun++ ;\n   else for (j=i;j<=n;j++)       //???j?? ??????\n\t   if (n%j==0) {depart(n/j,j);}\n}\n\nint main (){\n\tint n,j;\n\tcin>>n;\n\tint b[n];                   //???????\n\tfor(j=0;j<n;j++)\n\t\tcin>>b[j];\n\tfor(j=0;j<n;j++)\n\t\t{\n\t\tcoun=0;               //?????\n\t\tdepart(b[j],2);\n\t\tcout<<coun<<endl;\n\t\t}\n\treturn 0;\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-ba96888e80134868b38c8dc625c24622"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int main()\n{\n    int n,i,fenjie(int x,int y),*a,re=0,j;//x?????????y???????????\n    scanf(\"%d\",&n);\n    a=(int*)malloc(n*sizeof(int));\n    for(i=0;i<n;i++)\n    {\n                    scanf(\"%d\",&a[i]);\n                    \n    }\n    for(i=0;i<n;i++)\n    {\n                   printf(\"%d\\n\",fenjie(a[i],2)+1);\n    }\n    return 0;\n}\n\nfenjie(int x,int y)\n{\n           int i,flag=0,re=0,flag2=0,k=0;\n           if(x<y) return 0;\n           else if(x==y) return 0;\n           else\n           {\n                for(i=y;i<x;i++)\n                {\n                                 if(x%i==0) flag2+=1;\n                }\n                if(flag2==0) return 0;    \n                else\n           {\n                   for(i=y;i<=x;i++)\n                   {\n                                    if(x%i==0) \n                                    {\n                                               re+=fenjie(x/i,i);\n                                               if(x/i>=i) k+=1;\n                                    }\n                   }\n                   re+=k;\n                   return(re);\n           } \n           }\n}\n", "labels": "4", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-3204262a5c964c439aabafcfa610991c"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int f(int x,int y) //???????????????y?????????x????????\n{int i,num=0;\nint a[100];\nint sum=0;\n\tfor(i=x;i<=sqrt(y);i++){\n\t\tif(y%i==0) {num++;a[num]=1+f(i,y/i);}} //??????\n  for(i=1;i<=num;i++) {sum=sum+a[i];}\n\t      return sum;\t\n}\n\nint main(){\nint n,x,i,b[100];\ncin>>n; //?????????\nfor(i=1;i<=n;i++){cin>>x;b[i]=x;}\nfor(i=1;i<=n;i++){cout<<f(2,b[i])+1<<endl;} //???????\n\nreturn 0;\n\n}\n", "labels": "4", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-3f72d699840c4b69b41e55cedb6168b5"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int f(int x,int y);// ??????x????????y????????????????? \nint main()\n{\n    int n,i,j,a,sum;\n    cin>>n;\n    for(i=1;i<=n;i++)//?? \n   {\n      cin>>a;\n      sum=0;     //??? \n    for(j=1;j<=a;j++)\n     sum+=f(a,j);   //?? \n    \n    cout<<sum<<endl;  //?? \n    \n   }\n    return 0;\n    }\n  int f(int x,int y)//??? \n  {\n     int i,num=0;\n     if(y==1)\n       return 0;\n    else\n    {   \n     if(x%y!=0) \n      return 0;\n     else if(x==y)\n      return 1;  \n     else\n    {\n       for(i=y;i>=1;i--)      \n         num+=f(x/y,i); //?? \n         \n       return num;     \n                 }\n       \n      }\n      }  \n    /* \n      ???????????? \n      ?100?? \n      sum=???? \n      f(100,100)=1   ??100=100 \n      f(100,99) =0\n      f(100,98)=0\n      ....\n      ....\n      f(100,50)=f(2,50)+f(2,49)+........+f(2,2)+f(2,1) =1   ?????50????f(2,2)?1,?????? \n      ....\n      ....\n     f(100,2) =  f(50,2)+f(50,1)=f(25,2)+0=0\n     f(100,1) =0\n     ????? ?????????????? \n  */  \n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6ba708af29be4460ae908c12c7cf1e1a"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: //*************************************************\n//*file: 1000012912_006.cpp                       *\n//*author: ???                                 *\n//*date?2010.12.01                               *\n//*function?????                             *\n//*************************************************\nint sum(int);                      //sum??????????a=a?\nint g_count, g_j;                        //count???-1,j?????\nint main()\n{\n\tint n, a, i;                        //n????a?????\n\tcin >> n;\n\tfor ( i = 0; i < n; i ++ )\n\t{\n\t\tg_count = 0;\n\t\tg_j = 2;\n\t\tcin >> a;\n\t\tcout << sum(a) + 1 << endl;\n\t}\n\treturn 0;\n}\nint sum( int a)\n{\n\tint i, b;\n\tb = (int)sqrt( (double)a );\n\tfor ( i = g_j; i <= b; i++ )           \n\t{\n\t\tif ( a % i == 0 )                  //?a??i????????????1\n\t\t{\n\t\t\tg_j = i;                       //j??i???????\n\t\t\tg_count++;\n\t\t\tsum( a / i );\t\t\n\t\t}\n\t}\n\treturn g_count;\n}\n\t\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-eb69158b18664f84b5492fd447654a28"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*????\n * divide.cpp\n *\n *  Created on: 2011-12-1\n *      Author: WJ\n */\n\nint sum=1;                            //?????1?????\nvoid f(int b,int a)                        //??????????????\n{\n\tfor(int i=b;i<=a;i++){           //????????\n\tif((a%i==0)&&(i<=a/i)){\n\t\tsum=sum+1;                   //???1\n\t\tf(i,a/i);                         //???????????\n\t}\n\tif(i>a/i)  break;\n\t}\n}\nint main()\n{\n\tint a,n;\n\tcin>>n;\n\twhile(n>0){                //??????\n\t\tcin>>a;\n\t\tsum=1;\n\t\tf(2,a);                  //????\n\t\tcout<<sum<<endl;         //????\n\t\tn--;\n\t}\n\treturn 0;\n}\n\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-08bf8e79572f44889d20aa52e5c94d30"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: //*****************************************************\n//*?????????.cpp                             *\n//*??????                                       *\n//*?????2010?12?8?                            *\n//*????????????????                   *\n//*****************************************************\nint answer=0;//???????\nint a=2;//???2????\nvoid f(int,int);//?????\nint main()//???\n{\n\tint n=0;\n\tint i=0;\n\tint data[100]={0};\n\tcin>>n;//????\n\tfor(i=0;i<n;i++)\n\t{\n\t\tcin>>data[i];\n\t}\n\tfor(i=0;i<n;i++)\n\t{\n\t\tf(data[i],a);\n\t\tcout<<answer<<endl;\n\t\tanswer=0;//??\n\t}\n}\nvoid f(int m,int n)//???\n{\n\tint i=0;\n\tif(m==1)//??????1 ?????????\n\t{\n\t\tanswer=answer+1;\n\t}\n\tfor(i=n;i<=m;i++)//???2?????\n\t{\n\t\tif(m%i==0)\n\t\t{\n\t\t\tf(m/i,i);\n\t\t}\n\t}\n}\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-4e759e97dffa493f98832d1b3e4c0a94"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \tint ispr(int t) \n\t{\n    int v=sqrt(t*1.0)+1;\n    for(int i=2; i<v; i++)\n        if(t%i==0)\n            return 0;\n    return 1;\n    }\n\n\nint sum=0;\nvoid fun(int n,int i) {\n    if(n==1)\n        sum++;\n    while(i<=n) {\n        if(n%i==0)\n            fun(n/i,i);\n        i++;\n    }\n    return ;\n}\n\n\nint main() {\n    int n;\n    scanf(\"%d\",&n);\n    while(n--) {\n        int a;\n        scanf(\"%d\",&a);\n        if(ispr(a)) {\n            printf(\"1\\n\");\n            continue;\n        }\n        \n        int i=2,res=1;\n        while(i<=a/2) {\n            if(a%i==0) {\n                sum=0;\n                fun(a/i,i);\n                res+=sum;\n            }\n            i++;\n        }\n        printf(\"%d\\n\",res);\n    }\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-ed341b04217848bebc82dd29c38e9080"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * ????1118-4.cpp\n * ?????\n * ????: 2011-11-29\n * ??????????a?????????????????a = a1 * a2 * a3 * ... * an???1 < a1 <= a2 <= a3 <= ... <= an?????????????\n */\nint divide(int n,int a)//n?????????a????????????????????\n{\n\tint s=0,i;\n\tif(n==1) return 1;//n?1???\n\tfor(i=a;i>1;i--)\n\t\tif(n%i==0)\n\t\t\ts+=divide(n/i,i);//???????\n\treturn s;//??0??????????0??????????\n}\nint main()\n{\n\tint n,k;\n\tcin>>k;//??????\n\twhile(k>0)//???????\n\t{\n\t\tcin>>n;//????????\n\t\tcout<<divide(n,n)<<endl;//??????\n\t\tk--;//?????????\n\t}\n\treturn 0;//????\n}\n\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-de16b40057b54a4288bf57193dfb3cfc"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * 1118-4.cpp\n *\n *  Created on: 2011-11-29\n *      Author: Administrator\n */\nint divide(int n,int a){\n\tint s=0,t=0,i;\n\tif(n==1) return 1;\n\tfor(i=a;i>1;i--)\n\t\tif(n%i==0){\n\t\t\ts+=divide(n/i,i);\n\t\t\tt++;\n\t\t}\n\tif(t==0) return 0;\n\treturn s;\n}\nint main(){\n\tint n,k;\n\tcin>>k;\n\twhile(k>0){\n\tcin>>n;\n\tcout<<divide(n,n)<<endl;\n\tk--;\n\t}\n\t\n\treturn 0;\n}\n\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-9d28bbd851ee46f2a5259a720fda89b0"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint devide(int n,int m)\n{\n\tif(n<m)\n\t\tm=n;\n\tif(n==1)//?????1?,??1\n\t\treturn 1;\n\tint sum=0;\n\tfor(int i=m;i>=2;i--)\n\t{\n\t\tif(n%i==0)\n\t\t{\n\t\t\tsum=sum+devide(n/i,i);\n\t\t}\n\t\t\n\t}\n\treturn sum;\n}\n\nint main()\n{\n\tint n,i,m;\n\tcin>>n;\n\ti=0;\n\twhile ( i<n )\n\t{\n\t\tcin>>m;\n\t\tcout<<devide (m,m)<<endl;//???????\n\t\ti++;\n\t}\n\treturn 0;\n\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6be8b85a8f224eefab98d70ac66f2946"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int g(int y)\n{\n\tint i;\n\tfor(i=0;;i++)\n\t{\n\t\tif(i*i>y)\n\t\t\tbreak;\n\t}\n\treturn i-1;\n}\nint f(int x,int b)\n{\n\tint p,a[100],t=0,k=0;\n\tp=g(x);\n\tif(x==2)\n\t\treturn 0;\n\telse\n\t{\n\tfor(int i=b;i<=p;i++)\n\t{\n\t\tif(x%i==0)\n\t\t{\n\t\t\ta[t]=i;\n\t\t\tt++;\n\t\t}\n\t}\n\tif(t==0)\n\t\treturn 0;\n\telse\n\t\tfor(int i=0;i<t;i++)\n\t\t\tk=k+f(x/a[i],a[i])+1;\n\t\treturn k;\n\t}\n}\nint main()\n{\n\tint n,a;\n\tcin>>n;\n\tfor(int i=0;i<n;i++)\n\t{\n\t\tcin>>a;\n\t\tcout<<f(a,2)+1<<endl;\n\t}\n\treturn 0;\n}\n", "labels": "4", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-77340a4bfcd4451e8c8fd3fb2e9fad94"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /**\n* @file\t\t????.cpp\n* @author\t??\t1000012792\n* @date\t\t2010.12.3\n*/\n\nint f(int n, int m);\t\t\t\t//??f:????m????n?????????????????\nint main()\n{\n\tint n, num, i;\n\tcin >> n;\t\t\t\t\t\t//n???n???\n\tfor(i=0;i<n;i++)\n\t{\n\t\tcin >> num;\t\t\t\t\t//????????num,????????\n\t\tcout << f(num, 2) << endl;\n\t}\n\treturn 0;\n}\nint f(int n, int m)\n{\n\tint i, count=0;\n\tif(n==1)\n\t\treturn 1;\t\t\t\t\t//??n=1?????????1\n\tfor(i=m;i<=n;i++)\t\t\t\t//?????i?m?????n??\n\t{\n\t\tif(n%i==0)\t\t\t\t\t//??n??i???????n/i????(???????i)???????f(n/i,i)\n\t\t\tcount += f(n/i,i);\t\t//count?????????\n\t}\n\treturn count;\t\t\t\t\t//??count??\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-0aac87c4b1a241629cc12686c10c3089"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int shuliang(int m,int n);\nmain()\n{\n    int n;\n    scanf(\"%d\",&n);\n    for (int i = 1;i <= n;i ++)\n    {\n        int x,q,answer=1;\n        scanf(\"%d\",&x);\n        q=sqrt(x)+1;\n        for (int j = 2; j < q; j ++)\n        {\n            if (x%j==0)\n                answer+=shuliang(j,x/j);\n                \n        }\n        printf(\"%d\\n\\n\",answer);\n    }\n}\n\nint shuliang(int m,int n)\n{\n    int q,answer=0,y=0;\n    q=sqrt(n)+1;\n    for (int j = m;j < q;j ++)\n    {\n        if (n%j==0)\n            answer+=shuliang(j,n/j),y=1;\n    }\n    if(y==1)\n        return answer+1;\n    else\n        return 1;\n}\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-887555d1d9b64d78b461c8d2994ad09e"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint p(int a,int m)\n{\n    int t=0;\n    int i;\n    if(a%m!=0)\n        return 0;\n    if((a%m==0)&&(a/m<m)&&(a!=m))\n        return 0;\n    if(a==m)\n        return 1;\n    if((a%m==0)&&(a/m>=m))\n        {\n            for(i=m;i<=a/m;i++)\n            {t=t+p(a/m,i);}\n            return t;\n        }\n}\n\nint main()\n{   int n;\n    cin>>n;\n    int i;\n    int x;\n    int j;\n    int num=0;\n    for(i=0;i<n;i++)\n   {\n          cin>>x;\n          for(j=2;j<=x;j++)\n          {\n              num=num+p(x,j);\n          }\n          cout<<num<<endl;\n          num=0;\n   }\n\n    return 0;\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6571674c563a4a5783d59d3473ec501e"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int Factor(int, int);\nint main()\n{\n\tint n, a, i;\n\tscanf(\"%d\",&n);\n\tfor (i = 1;i <= n;i++)\n\t{\n\t\tscanf(\"%d\",&a);\n\t\tprintf(\"%d\\n\",Factor(a, 2));\n\t}\n\treturn 0;\n}\nint Factor(int a,int p)\n{\n\tint i, j, z = 1;\n\tif (a < p)\n\t\tz = 0;\n\telse\n\t{\n\t\tfor (i = p;i <= a;i++)\n\t\t{\n\t\t\tif (a % i == 0)\n\t\t\t{\n\t\t\t\tz += Factor(a / i, i);\n\t\t\t}\n\t\t}\n\t}\n\treturn z;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-e7df199767fd470bb5bd2da0fd5a73dc"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int f(int n,int min){\n\tint i,result=1;\n\tif(n<min)return 0;\n\tfor(i=min;i<n;i++)\n\t\tif(n%i==0)result+=f(n/i,i);\n\treturn result;\n}\nvoid main()\n{\n\tint cases,a;\n\tscanf(\"%d\",&cases);\n\twhile(cases--){\n\t\tscanf(\"%d\",&a);\n\t\tprintf(\"%d\\n\",f(a,2));\n\t}\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-f9423a34e8204489a513f5ff772abb20"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint m,n,num;\n\nvoid dfs(int i,int j)\n{\n\tint x;\n\n\tif (i==1)\n\t{\n\t\tnum++;\n\t\treturn;\n\t}\n\tfor (x=j;x<=i;x++)\n\t\tif (i%x==0)\n        dfs(i/x,x);\n}\n\nint main()\n{\n    cin>>m;\n    while(m>0){\n        num=0;\n        cin>>n;\n\tdfs(n,2);\n        cout<<num<<endl;\n\tm--;\n     }\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-c9c7abf4e3a64016878b0dbb61e85054"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int num=0;\nint sum(int a,int i)\n{\n\t\n\tif(a==1)\n\t{\n\t\tnum++;\n\t}\n\telse\n\t{\n\t\twhile(i<=a)\n\t\t{\n\t\t\tif(a%i==0)\n\t\t\t{\n\t\t\t\tsum(a/i,i);\n\t\t\t}\n\t\t\ti++;\n\t\t}\n\t}\n\treturn num;\n}\nint main()\n{\n\tint a,t,j,i,count;\n\tcin>>t;\n\tfor(j=0;j<t;j++)\n\t{\n\t\tcount=1;\n\t\tcin>>a;\n\t\ti=2;\n\t\twhile(i<=(a/2))\n\t\t{\n\t\t\tif(a%i==0)\n\t\t\t{\n\t\t\t\tnum=0;\n\t\t\t\tsum(a/i,i);\n\t\t\t\tcount=count+num;\n\t\t\t}\n\t\t\ti++;\n\t\t}\n\t\tcout<<count<<endl;\n\t}\n\t\n\treturn 0;\n}\n\n\n\n\n\n       \n      \n    \n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-a5ff5c74d9c94320b9549e8fc20b277a"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int b[40000]={0};\nvoid zhishu(int n)\n{\n     int i,j;\n     for(i=2;i<sqrt(n);i++)\n     {\n                     for (j=2;j<n/i+1;j++)\n                     {\n                         b[i*j]=1;\n                     }\n     }\n}\nint fenjie(int n,int m)\n{\n    int s=0,i;\n    if (n<m) return 0;\n    if (n==m||b[n]==0) return 1;\n    for (i=m;i<n;i++)\n    {\n        if (n%i==0)\n        {\n                  s=s+fenjie(n/i,i);\n        }\n    }\n    return s+1;\n}\nint main()\n{\n    int n,i,max=0,a[1000];\n    cin>>n;\n    for (i=0;i<n;i++) \n    {\n        cin>>a[i];\n        if (a[i]>max) max=a[i];\n    }\n    zhishu(max);\n    for (i=0;i<n;i++) cout<<fenjie(a[i],2)<<endl;\n    return 0;\n}\n\n", "labels": "5", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-4ec2808b8fee437d84bdcaad4d28f587"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * wanyi.cpp\n *\n *  Created on: 2012-11-20\n *      Author: 7\n */\nint t=1;\nvoid fen(int n,int i)\n{\n\tfor(i=i;i*i<=n;i++)\n\t{\n\t\tif(n%i==0)\n\t\t{\n\t\t\tfen(n/i,i);\n\t\t\tt++;\n\t\t}\n\t}\n}\nint main()\n{\n\tint k;\n\tcin>>k;\n\twhile(k--)\n\t{\n\t\tint n;\n\t\tcin>>n;\n\t\tt=1;\n\t\tfen(n,2);\n\t\tcout<<t<<endl;\n\t}\n}\n\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-8e72270c31ea4d5f84d517e8f7053bdd"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint count;\n\nvoid f(int n, int min) {\nint i;\nif (n == min) { count++; return;}\nif (n % min!=0) { return;}\nfor (i = min; i <= n; i++)\nf(n/min, i);\n}\n\n\nint main() {\nint N,i,num,j;\nscanf(\"%d\",&num);\nfor(j=1;j<=num;j++){\ncount = 0;\nscanf(\"%d\",&N);\nfor (i = 2; i <= N;i++)\nf(N, i);\nprintf(\"%d\\n\",count);\n}\nreturn 0;\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-7c81779f0ed14dfe893c1e23da9a5d5f"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \n/**\n* @author ??\n* @date 2010-12-1\n* @description\n* ??????:???? \n*/\nint sum;\nvoid calculate(int, int);\n\n\nint main()\n{\n\tint n;\n\tcin >> n;\n\tfor (int i = 0; i < n;i++)\n\t{\n\t\tint m;\n\t\tsum  = 1;\n\t\tcin >> m;\n\t\tcalculate(m, 2);\n\t\tcout << sum << endl;\n\t}\n\treturn 0;\n}\nvoid calculate(int m,int begin)\n{\n\tint i;\n\tint n = sqrt((double)m);\n\tfor ( i = begin; i <= n; i++ )\n\t{\n\t\tif ( m % i == 0)\n\t\t{\n\t\t\tsum++;\n\t\t\tcalculate(m / i,i);\n\t\t}\n\t}\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-c561b03021184759abba58c898bcc7b4"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int sum=0;                          //?????????????\nvoid ways(int a,int last);            \nint main()\n{\n\tint n,num[100],i;                    \n\tcin>>n;\n\tfor(i=0;i<n;i++)\n\t{\n\t\tcin>>num[i];\n\t}\n\tfor(i=0;i<n;i++)\n\t{\n\t\tways(num[i],2);               //??????????\n\t\tcout<<sum<<endl;             //??\n\t\tsum=0;\n\t}\n\treturn 0;\n}\nvoid ways(int a,int last)    \n{\n\tint i,j;\n\tfor(i=last;i<=a;i++)\n\t{\n\t\tif(a<i)                     //????????????????????????\n\t\t{\n\t\t}\n\t\telse if(a==i)               //???????????u?????\n\t\t{\n\t\t\tsum++;\n\t\t}\n\t\telse if(a%i==0)            //????????????????????????????????\n\t\t{\n\t\t\tways(a/i,i);\n\t\t}\n\t}\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-1ee8a5c08d9948b19963656716bb82df"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int prime(int min,int num)\n{\n\tint i;\n\tfor(i=min;i<num;i++)\n\t{\n\t\tif(num%i==0)\n\t\t\treturn 0;\n\t}\n return 1;\n}\nint count(int min,int num)\n{\n\tint i=0,n=1;\n\tif(prime(min,num))\n\t\treturn 1;\n\telse\n\t\tfor(i=min;i<num;i++)\n\t\t{\n\t\t\tif(num%i==0&&i<=num/i)\n\t\t\t{\n\t\t\t\tn=n+count(i,num/i);\t\n\t\t\t}\n\t\t}\n\treturn n;\n}\nint main()\n{\n\tint num,n,i;\n\tcin>>n;\n\tfor(i=0;i<n;i++)\n\t{\n\t\tcin>>num;\n\t\tcout<<count(2,num)<<endl;\n\t}\n\treturn 0;\n\t\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-81267c7f2df5407fb9c30019b5fdcabc"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int c[1000]={0},d[1000],j;\nmain()\n{\n\tvoid f();\n\tint i,s;\n\tscanf(\"%d\",&s);\n\tfor(j=0;j<s;j++)\n\t{\n\t\tscanf(\"%d\",&d[j]);\n\t    for(i=2;i<=sqrt(d[j]);i++)\n\t\t{\n\t\t    if(d[j]%i==0)\n\t\t\t{\n\t\t\t    c[j]++;\n\t\t\t    f(i,d[j]/i);\n\t\t\t}\n\t\t}\n\t}\n\tfor(j=0;j<s;j++)\n\t{\n\t\tprintf(\"%d\\n\",c[j]+1);\n\t}\n}\nvoid f(int s,int m)\n{\n\tint k;\n\tfor(k=s;k<=sqrt(m);k++)\n\t{\n\t\tif(m%k==0)\n\t\t{\n\t\t\tc[j]++;\n\t\t\tf(k,m/k);\n\t\t}\n\t}\n}\n\n", "labels": "4", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-7339930311c64f4a972944587b66b887"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \n\n\nint factoring(int a,int b)\n{\n    int i,kind=0;\n\n\t\t//printf(\"ok  a=%d  b=%d\\n\",a,b);\n\n\tif(a==1)\n\t{\n\t    kind=1;\n\t\t\t//printf(\"kind=1   ok\\n\");\n\t}\n\n\telse\n\t{\n\t    for(i=b;i<=a;i++)\n\t\t{\n\t\t//\tprintf(\"ok\\n\");\n\n\t\t    if(a%i==0)\n\t\t\t{\n\t            kind=factoring(a/i,i)+kind;\n\t\t\t\t\t//printf(\"ok  %d\\n\",kind);\n\t\t\t}\n\t\t}\n\t}\n\n\n\treturn kind;\n}\n\nint main()\n{\n   int n,x[40000],i;\n   scanf(\"%d\",&n);\n  \n   for(i=0;i<n;i++)\n   {\n      scanf(\"%d\",&x[i]);\n\n   }\n\n   for(i=0;i<n;i++)\n   {\n       x[i]=factoring(x[i],2);\n\t   printf(\"%d\\n\",x[i]);\n\n   }\n   return 0;\n\n}\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-133f3fc50d0744568a80fc40aa3e20eb"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: //*************************************************************************\n//*????????? *****************************************************\n//*??????? 1200012979 **********************************************\n//*???2012.11.27 *******************************************************\n//*************************************************************************\nvoid breakup(int, int);\nint sum;\nint main ()\n{\n\tint n, x, count=0;\n\tcin >> n ;                           //??????\n\twhile( count < n )\n\t{\n\t\tsum = 0 ;\n\t\tcount++ ;                        //?????\n\t\tcin >> x ;                       //??????\n        if(x > 3) \n\t\t    breakup(x, 2);                      //????\n\t\tcout << sum+1 << endl;           //???????????\n\t}\n\treturn 0;\n}\n\nvoid breakup( int x, int j )\n{\n    int i, p, m;\n\tm = x;                              //???????\n\tp = sqrt( (double)x ) ;             //p??????????\n\tfor( i = j ; i <= p ; i++ )\n       if (m % i == 0 )                 //????????????????\n\t   {\n\t\t   sum++ ;                      //??????\n\t\t   x = m / i ;\n\t\t   breakup(x, i) ;\n\t   }\n\treturn ;\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-430b24cd916d4bbeb61ef7805327cb68"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int wtf(int p,int a);\nint main()\n{\nint n,i,a,p;\nscanf(\"%d\",&n);\nfor(i=0;i<n;i++)\n{\n  scanf(\"%d\",&a); \n  printf(\"%d\\n\",wtf(2,a));                  \n}    \nreturn 0;    \n}\n\nint wtf(int p,int a)\n{  \n    int i,ways=0,j=0; \n    int m=(int)sqrt(a);        \n    for(;p<=m;p++)    \n        {if(a%p==0 && a>=p*p )    {ways=ways+wtf(p,a/p);j++;}}     \n    if(j==0)\n    return 1;\n    else \n    return ways+1;\n}\n\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-4ddc7eab8e924f99a0fa4bd8bde8b0ef"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * 1000012739_34_1.cpp\n *\n *  Created on: 2010-12-3\n *      Author: ???\n *\t\tTitle: 1090 ????\n */\n\n\n\nint cnt=0;\t\t//????????\n\nvoid slv(int nm,int pr)\t\t//nm????????pr???????\n{\n\tint i;\n\tif (nm>=pr)\t\t//???????????\n\t{\n\t\tcnt++;\t\t//??????\n\t\tif (pr==1)\t//???????????2??\n\t\t\tpr++;\n\t\tfor (i=pr;i<=nm;i++)\t//??????\n\t\t{\n\t\t\tif (nm%i==0)\t\t//??nm???\n\t\t\t{\n\t\t\t\tslv(nm/i,i);\t//nm??i???\n\t\t\t}\n\t\t}\n\t}\n}\n\nint main()\n{\n\tint n,i,num;\n\tcin>>n;\t\t//??????\n\tfor (i=1;i<=n;i++)\n\t{\n\t\tcnt=0;\t\t//???????\n\t\tcin>>num;\t//????\n\t\tslv(num,1);\t//??cnt\n\t\tcout<<cnt<<endl;\t\t//??cnt\n\t}\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-e89117c6529a43f7b6001e5340386221"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint count;\n\nvoid fun(int i, int j)\n{\n\tint k;\n\tfor(k=i; k<=sqrt(j); k++) {\n\t\tif(j%k == 0) {\n\t\t\tcount++;\n\t\t\tfun(k,j/k);\n\t\t}\n\t}\n}\nint main()\n{\n     int N,turn,c;\n      scanf(\"%d\",&turn);\n      for(c=1;c<=turn;c++)\n      {\n\tint n,i;\n\tscanf(\"%d\",&n);\n\tfor(i=2; i<=sqrt(n); i++) {\n\t\tif(n%i == 0) {\n\t\t\tcount++;\n\t\t\tfun(i,n/i);\n\t\t}\n\t}\n\tprintf(\"%d\\n\",count+1);\n\tcount=0;\n}\n\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6572ca3fd8934096834f06b0f8945dd1"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int fenjie(int k, int l);\nint main()\n{\n\tint n, i;\n\tcin >> n;\n\tfor(i = 1; i <= n; i++)\n\t{\n\t\tint a;\n\t\tcin >> a;\n\t\tcout << fenjie(a, 2) << endl;\n\t}\n\treturn 0;\n}\n\nint fenjie(int k, int l)\n{\n\tint num = 1, d, e;\n\tif(k < l)\n\t{\n\t\treturn 0;\n\t}\n\td = (int) (sqrt((double) k));\n\tfor(e = l; e <= d; e++)\n\t{\n\t\tif(k % e == 0)\n\t\t{\n\t\t\tnum += fenjie(k / e, e);\n\t\t}\n\t}\n\treturn num;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-b6fc49fc1e704c68869570bd31449e3c"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n *  Created on: 2011-11-18\n *      Author: 1100012870\n */\n\nint su[40000],b[10000],ans;\n\nvoid zhaosushu()\n{\n\tint i,j,p;\n\tfor(i=2;i<32768;i++)\n\t{\n\t\tp=1;\n\t\tfor(j=2;j<=sqrt(i);j++)\n\t\t\tif(i%j==0){\n\t\t\t\tp=0;\n\t\t\t\tbreak;\n\t\t\t}\n\t\tif(p==0)continue;\n\t\tsu[p]=1;\n\t}\n}\n\nvoid resolve(int a,int x)\n{\n\tint i;\n\tif(a==1 || (su[a]==1 && a>=b[x-1])) {\n\t\tans++;\n\t\treturn;\n\t}\n\tfor(i=2;i<=a;i++)\n\t\tif(a%i==0 && i>=b[x-1]){\n\t\t\tb[x]=i;\n\t\t\tresolve(a/i,x+1);\n\t\t\tb[x]=0;\n\t\t}\n}\n\nint main()\n{\n\tint n,i,a;\n\tmemset(su,0,sizeof(su));\n\tzhaosushu();\n\tcin>>n;\n\tfor(i=1;i<=n;i++)\n\t{\n\t\tcin>>a;\n\t\tans=0;\n\t\tmemset(b,0,sizeof(b));\n\t\tresolve(a,1);\n\t\tcout<<ans<<endl;\n\t}\n\treturn 0;\n}\n", "labels": "4", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-80c9301ae8de4497a028e4d165148214"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int a[1000];\nint l=0,x;\nint fff(int k,int w,int t,int x);\nint main()\n{\n    int i,j,q,p,n,m,y;\n    scanf(\"%d\",&n);\n    for(p=0;p<n;p++)\n       {q=1;l=0;\n        scanf(\"%d\",&x);\n        for(i=2;i<=x;i++)\n           if(x%i==0)\n             {a[q]=i;\n             q++;\n             }\n        fff(1,q-1,1,x);\n        printf(\"%d\\n\",l,x);\n       }\n}\nint fff(int k,int w,int t,int x)\n{\n    int i,j,y,n,m,p;\n      for(i=t;i<=w;i++)\n            {if(x%a[i]==0)\n             {\n             x=x/a[i]; \n             if(x==1){l++;}\n             if(x>1)\n                 fff(k+1,w,i,x);\n             x=x*a[i];\n             }\n            }\n}\n\n            \n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-682ec61fd9e241a89a3179e234928a7f"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * part.cpp\n *\n *  Created on: 2012-11-25\n *      Author: Lsj\n */\n\nint disintegerate(int a, int b)//?????a????\n{\n\tif (a == b || b == 1)//a b????b=1??????\n\t\treturn 1;\n\tif (a > b)//a??b?b???1????0???0\n\t\treturn 0;\n\tint ans = 0;//ans???\n\tfor (int i = a; i <= b; i++)//?a?b??\n\t{\n\t\tif (b % i == 0)//b??????\n\t\t\tans = ans + disintegerate(i, b / i);//??????\n\t}\n\treturn ans;//??ans\n}\n\nint main()//main??\n{\n\tint Time;\n\tcin >> Time;//????\n\twhile (Time > 0) {\n\t\tint n;\n\t\tcin >> n;//??n\n\t\tcout << disintegerate(2, n) << endl;//????\n\t\tTime--;//Time?1\n\t}\n\n\treturn 0;\n}//??\n\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-c447745aeed74695a91006d4f052c798"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n *  1000012850_34.1.cpp\n *  ????????????a??????????????? ?????????\n *  Created on: 2010-11-27\n *      Author: william\n */\nint resolution_into_factors(int j,int i)\n{\n\tint m, sum=0, k=0;\n\tfor(m=j ;m<=sqrt(i); m++)\n\t{\n\t\tif(i%m==0)\n\t\t{\n            sum=resolution_into_factors(m, i/m)+sum+1;\n\t\t\tk++;\n\t\t}\n\t}\n\tif(k==0) return 0;\n    return sum;\n}\nint main()\n{\n    int n, k, i;\n    cin>>n;\n    for(k=1; k<=n; k++)\n    {\n    \tcin>>i;\n    \tcout<<resolution_into_factors(2,i)+1<<endl;\n    }\n    return 0;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-9ff3c4c758ae4e52a1ffdff1dda86cbb"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int num;//num???????? \nint main()\n{\n    int f(int,int);  //??f?? \n    int i,n,a[100],result[100];\n    cin>>n;\n \n    for(i=1;i<=n;i++)\n    {\n                     num=1; //?????????????????1 \n                     cin>>a[i];\n                     result[i]=f(1,a[i]);\n    }\n    for(i=1;i<=n;i++)\n    {\n                     cout<<result[i]<<endl;\n    }\n}\nint f(int x,int y)//f?? ???y???x\u00d7???y ?y>x \n{\n    int i;\n    for(i=2;i<=sqrt(y);i++) //?2???y?? ??????????????????? \n    {\n                           if(y%i==0&&i>=x)//??y??i?? ??i>=x(????x,i,i????? ????????????) ??y?????i????? \n                           {\n                                     num++;//????+1 \n                                     f(i,y/i); //???? ??y??? \n                           }\n    }\n    return num;  \n} \n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-9ebfa3b8608f4eedade8cbc9f6de3da8"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int p=0;\n\nint factor(int a,int min)\n{\n\tint sum=0;\n\tif(min>=a)return 1;\n\tfor(int j=min;j<=a/min;j++)\n\tif (a%j==0)\n\t\tsum+=factor(a/j,j);\n\treturn sum;\n}\n\nint main()\n{\n\tint n=0,a=0;\n\tcin>>n;\n\twhile(n>0)\n\t{\n\t\tcin>>a;\n\t\tif(a<=2) cout<<1<<endl;\n\t\telse cout<<factor(a,2)+1<<endl;\n\t\tn--;\n\t}\n\treturn 0;\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-99110cbbfee1413db0bea842af2e557f"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: void fenjie(int, int, int);\nint g_num, g_count;\nint main()\n{\n\tint n, i;\n\tcin >> n;\n\tfor(i = 1; i <= n; i++ )\n\t{\n\t\tg_count = 0;\n\t\tcin >> g_num;\n\t\tfenjie(2, g_num, 1);\n\t\tcout << g_count << endl;\n\t}\n\treturn 0;\n}\nvoid fenjie(int a, int num, int sum)\n{\n\twhile( a <= g_num )\n\t{\n\t\tsum *= a;\n\t\tif( sum == g_num )\n\t\t\tg_count++;\n\t\tif( sum < g_num )\n\t\t\tfenjie(a, g_num, sum);\n\t\tif( sum > g_num )\n\t\t\treturn;\n\t\tsum /= a;\n\t\ta++;\n\t}\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6c2b851a667447049000dddc6380b3cb"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: //**********?????????*********************\n//**********???????*************************\n//**********?????2012?11?27?***************\n//**********???1200062701**********************\n\n\nint ifsushu(int n)                                   //????????????1???\n{\n\tif(n == 1)\n\t{\n\t\treturn 1;\n\t}\n\telse\n\t{\n\t\tfor(int f = n - 1;f >= 2; f--)               //??n?????\n\t\t{\n\t\t\tif(n % f == 0) break;\n\t\t\tif (f == 2)\n\t\t\t{ \n\t\t\t\treturn 1;\n\t\t\t}\n\t\t}\n\t}\n\treturn 0;\n}\nint sum = 0;\nint zhaoyinshu(int x, int max)\n{\n\tif(x == 1)\n\t{\n\t\tsum++;\n\t\treturn 0;\n\t}\n\tfor(int i = max; i >= 2; i--)\n\t{\n\t\tif(x % i == 0)                // ??i?????\n\t\t{\n\t\t\tzhaoyinshu(x / i, i);\n\t\t}\n\t}\n}\nint main()\n{\n\tint time, number, t;\n\tcin >> time;\n\tfor(int j = 0; j < time; j++)\n\t{\n\t\tcin >> number;\n\t\tif(ifsushu(number) == 1)\n\t\t{\n\t\t\tcout << \"1\" << endl;\n\t\t}\n\t\telse\n\t\t{\n\t\t\tzhaoyinshu(number , number / 2);\n\t\t\tcout << sum + 1 << endl;       //????????????~\n\t\t\tsum = 0;\n\t\t}\n\t}\n\treturn 0;\n}\n\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-be94b48a0ec845b3aa57e1465a138631"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int num;\nint fjys(int n,int m,int i,int d,int ji[20])\n{\n\tint a;\n\tfor(a=i;a<m;a++)\n\t{\n\t\tif(n%a==0)\n\t\t{\n\t\t\tji[d]=a;\n\t\t\tint chenji=1,k;\n\t\t\tfor(k=0;k<=d;k++)\n\t\t\t\tchenji=chenji*ji[k];\n\t\t\tif(chenji==m)\n\t\t\t{\n\t\t\t\tnum++;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\telse \n\t\t\t\tfjys(n/a,m,a,d+1,ji);\n\t\t}\n\t}\n\treturn num;\n}\nint main()\n{\n\tint m,n,j,result=0,ji[20]={0};\n\tcin>>m;\n\tfor(j=1;j<=m;j++)\n\t{\n\t\tnum=0;\n\t\tcin>>n;\n\t\tresult=fjys(n,n,2,0,ji);\n\t\tcout<<result+1<<endl;\n\t}\n\t\treturn 0;\n}\n\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-fd22f7430a2648af801facaa521fa9c3"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int a=0,s=0;\nvoid find(int n,int prim)\n {\n  if (n==a){s++;}\n  else\n   {\n    for (int i=prim;i<=a/n;i++)\n     if ((a%(n*i)==0)){find(n*i,i);}\n   }\n }\nint main()\n{int n=0;cin>>n;\nfor (int i=1;i<=n;i++)\n {\n  cin>>a;s=0;\n  for (int i=2;i<=a;i++)\n   {\n    if (a%i==0) {find(i,i);}\n   }\n   cout<<s<<endl;\n }\nreturn 0;\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-c7980561e3864203afc2dc74f9594023"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int s=0,p=1;\nvoid fenjie(int a,int b)\n{\n\tint i;\n\tif(a==1)\n\t\ts++;\n\tfor(i=b;i<=a;i++)\n\t\tif(a%i==0) fenjie(a/i,i);\n\treturn;\n}\nint main()\n{\n\tint n,i,j,a[100];\n\tscanf(\"%d\",&n);\n\tfor(i=0;i<n;i++)\n\t{\n\t\tscanf(\"%d\",&a[i]);\n\t\tfor(j=2;j*j<=a[i];j++)\n\t\t{\n\t\t\tif(a[i]%j==0)\n\t\t\t{\n\t\t\t\ts=0;\n\t\t\t\tfenjie(a[i]/j,j);\n\t\t\t\tp=p+s;\n\t\t\t}\n\t\t}\n        printf(\"%d\\n\",p);\n\t\tp=1;\n\t}\n\treturn 0;\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-e4490df842a140c6af2ef690fc914e27"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int x[1000]={0};\nvoid f(int m,int n,int l)\n{\n\tint i;\n\tfor(i=m;i<=n;i++)\n\t{\n\t\tif(n%i!=0) continue;\n\t\telse\n\t\t{\n\t\t\tif(n/i==1)\n\t\t\t{\n\t\t\t\tx[l]++;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\telse f(i,n/i,l);\n\t\t}\n\t}\t\n}\n\nint main()\n{\n\tint a[1000],s,j,sum;\n\tcin>>sum;\n\tfor(j=1;j<=sum;j++)\n\t{\n\t\tcin>>a[j];\n\t\ts=2;\n\t    f(s,a[j],j);\n\t}\n\tfor(j=1;j<=sum;j++)\n\t{\n\t\tcout<<x[j]<<endl;\n\t}\n\treturn 0;\n}\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-12cecf42863b48a08b00a039bc3e5145"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int a[40000]={0};\nvoid fun(int n,int j,int k){\n     int i;\n     for(i=j;i<=sqrt(n);i++){\n                             if(n%i==0){\n                                        j=i;\n                                        a[k]++;\n                                        fun(n/i,j,k);\n                                        }\n                             }\n                             \n     }\n      \nint main()\n{\n  int n;\n  int m[40000]={0};\n  int i;\n  scanf(\"%d\",&n);\n  for(i=1;i<=n;i++){ scanf(\"%d\",&m[i]);}  \n  for(i=1;i<=n;i++){fun(m[i],2,i);}\n  for(i=1;i<=n;i++){ printf(\"%d\\n\",a[i]+1);} \n \n\t\n  return 0;\n}\n\n", "labels": "4", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-0173e2a0cb4a48f3a7fd5528d7168150"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int f(int t,int k)\n{\n    int u=1,i;\n    if(t>2)\n    {\n    for(i=k;i<=sqrt(t);i++)\n    {\n        if(t%i==0)\n        {\n            u += f(t/i,i);\n        }\n    }\n    return u;\n    }\n    else if(t==2)\n    return 1;\n    else if(t==1)\n    return 0;\n}\nmain()\n{\n      int i,n,t;\n      scanf(\"%d\",&n);\n      for(i=0;i<n;i++)\n      {\n          scanf(\"%d\",&t);\n          printf(\"%d\\n\",f(t,2));\n      }\n}\n\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-26a776ca502847f0bfb85f1ef0882dfd"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n * 1090 ????.cpp\n *\n *  Created on: 2010-11-26\n *      Author: ???\n */\nint f(int a,int min)               //???a???????min??????\n{\n\tint j,num;                     //j????num????\n\tif (a<min) return 0;           //??a??min?????????????\n\tnum=1;                         //???????\n\tfor (j=min;j<a;j++)            //????????\n\t\tif (a%j==0) num=num+f(a/j,j);           //???????????\n\treturn num;                    //????\n}\n\nint main()\n{\n\tint n,i,out,a;                //n???????out???????a??????\n\tcin>>n;\n\tfor (i=0;i<n;i++)\n\t{\n\t\tcin>>a;\n\t\tout=f(a,2);               //??????\n\t\tcout<<out<<endl;\n\t}\n\treturn 0;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-b8d9fb4b0bdb4b2fb33c73b72e7caef0"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint t=0;\nint mini(int k,int i)//\u0093a?&#710;&#160;&#733;\u0094\u0096o?\u00f7\u00f7?\u00f7?&#174;?\u00a8?&#8250;?\u00e8\u0093&#8482;&#171;&#219;k?&#219;\u0094&#8260;i\n{\n\tif(k==1)t=t+1;\n\tfor(;i<=k;i++)\n\t{\n\t\tif(k%i==0)mini(k/i,i);\n\t}\n\treturn 0;\n}\n\t\nint main()\n{\n\tint N,n;\n\tscanf(\"%d\",&N);\n\tfor(n=0;n<=N-1;n++)\n\t{\n\t\tint M;\n\t\tscanf(\"%d\",&M);\n\t\tmini(M,2);\n\t\tprintf(\"%d\\n\",t);\n\t\tt=0;\n\t}\n}\n\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-e59e29d170b1449c8e0c0addb92863b2"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int number=0;\nint main()\n{\n\tvoid f(int first,int m);\n\tint n,i,num;\n\tcin>>n;\n\tfor(i=0;i<n;i++)\n\t{\n\t\tcin>>num;\n\t\tf(2,num);\n\t\tcout<<number/2<<endl;\n\t\tnumber=0;\n\t}\n\treturn 0;\n}\nvoid f(int first,int m)\n{\n\tint i;\n\tfor(i=first;i<=m;i++)\n\t{\n\t\t\n\t\tif(m%i==0)\n\t\t{\n\t\t\tm=m/i; \n\t\t\tf(i,m);\t\n\t\t\tif(m!=1)\n\t\t\tm=m*i;\n\t\t\n\t\t}\n\t}\n\tif(m==1)\n\t\tnumber+=1;  \n}\n\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-c73cabb5f1ea4ca880fb47664e290a04"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int a;\nint fj(int x, int y);\nint main()\n{\n\tint n;\n\tcin >> n;\n\tint i;\n\tfor (i = 1; i <= n; i++)\n\t{\n\t   cin >> a;\n\t   cout << fj(a, 2) << endl;\n\t}\n\treturn 0;\n}\nint fj(int x, int y)\n{\n\tint xnumber = 1;\n\tint i;\n\tint b = sqrt(x);\n\tif (x == 1) return 0;\n\telse \n\t\tfor (i = y; i <= b; i++)\n\t\t{\n\t\t\tif (x % i == 0) xnumber = xnumber + fj(x / i, i);\n\t\t}\n\t\treturn xnumber;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-2994cb0d09b8453487d5c5302e805b39"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int qipa(int p,int q)    // ?p???????????q?????? \n{\n    int i,l,s=0;\n    if(p==1) return 1;\n    for(i=p;i>1;i--)\n      if(p%i==0 && i<=q)\n        s+=qipa(p/i,i);\n    return s;\n}\nint main()\n{\n  int i,j,n,m,t;\n  scanf(\"%d\",&n);\n  for(i=1;i<=n;i++)\n  {\n    scanf(\"%d\",&m);   \n    t=qipa(m,m);\n    printf(\"%d\\n\",t);    \n  }\nreturn 0;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-5289b648773f479f93b62068ef540ce0"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int sum=0;\nvoid divide(int n,int a)\n{\n\tfor(int i=a;i<=n;i++)\n\t{\n\t\tif((n%i==0))\n\t\t{\n\t\t\tif(n/i==1)\n\t\t\t\tsum++;\n\t\t\telse\n\t\t\t\tdivide(n/i,i);\n\t\t}\n\t}\n}\nint main()\n{\n\tint N=0,n=0,i=0;\n\tcin>>N;\n\tfor(i=0;i<N;i++)\n\t{\n\t\tcin>>n;\n\t\tdivide(n,2);\n\t\tcout<<sum<<endl;\n\t\tsum=0;\n\t}\n\treturn 0;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-0269c4f2c8d241c9935017d4fc154845"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint all=1;   //?????????????????????1\nvoid divd(int,int);   //??????????????????????????????\n\nint main()\n{\n\tint n,num;\n\tcin>>n;\n\twhile(n--)\n\t{\n\t\tcin>>num;\n\t\tdivd(2,num);   //????2???????\n\t\tcout<<all<<endl;\n\t\tall=1;\n\t}\n\treturn 0;\n}\n\nvoid divd(int fac,int num)\n{\n\tint i;\n\tfor(i=fac;i*i<=num;i++)   //???????????????????????????\n\t\tif(num%i==0)  //?????????\n\t\t{\n\t\t\tfac=i;  //??\n\t\t\tall++;   //????\n\t\t\tdivd(fac,num/fac);   //??????????\n\t\t}\n}\n", "labels": "1", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6be4e2fe364948d081e29973d681c79c"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: //********************************\n//*???? \n//********************************\n\n\nint f(int a, int b)\n{\n\tif (a == 1)\n\t\treturn 1;\n\telse\n\t{\n\t\tint c,d,i;\n\t\tc = 0;\n\t\td = (int)sqrt((double)a);\n\t\tfor (i = b; i <= a; i ++)\n\t\t{\n\t\t\tif (!(a % i))\n\t\t\t\tc+= f(a / i,i);\n\t\t}\n\t\treturn c;\n\t}\n}\n\nint main()\n{\n\tint n,a,i;\n\tcin >> n;\n\tfor (i = 0; i < n; i++)\n\t{\n\t\tcin >> a;\n\t\tcout << f(a,2) << endl;\n\t}\n\tcin.get();\n    cin.get(); //????\n\treturn 0;\n}\n\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-bf58e49635bb4a028b3ca9db9495e14e"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*1090 ????*/ \n\n\n\nint num;\n\nvoid divide(int a,int k)\n{\n\tint i;\n\tif(a==1) num++;//?????????????? \n\tfor(i=k;i<=a;i++)//???????? \n\t    if(a%i==0) divide(a/i,i);\n}\n\nint main()\n{\n\tint t;\n\tcin>>t;\n\twhile(t--)\n\t{\n\t\t\tint n;\n\t\t\tcin>>n;\n\t\t\tnum=1; \n\t\t\tint i;\n\t\t\tfor(i=2;i*i<=n;i++)\n\t\t\t\tif(n%i==0) divide(n/i,i);  \n\t\t\tcout<<num<<endl;\n\t}\n    return 0;\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-a7e2ee7bd6074ca281ee56fb9da1558f"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: void fun(int m, int i);                                                  //????\nint num ;\nint main()\n{\n\tint n, i, a;\n\tcin>>n;\n\tfor(i = 0; i < n; i++)\n\t{\n\t\tcin>>a;\n\t\tnum = 0;\n\t\tfun(a, 2);                                                      //????\n\t\tcout<<num + 1<<endl;                                            //???????a=a???????num??1\n\t}\n\treturn 0;\n}\nvoid fun(int m, int i)\n{\n\tint k = sqrt(m);\n\tfor(i = i; i <= k; i++)\n\t{\n\t\tif(m % i == 0)\n\t\t{\n\t\t         num++;                           \n\t\t\tfun(m / i, i);                                             //?????????\n\t\t}\n\t}\n}\n", "labels": "2", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-87a102e09e434feca3a6ac8f62b6e6b2"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int fenjie(int a,int b)\n{\n\tint i,sign=0,k=0;\n\tif(a<b) return 0;\n\telse if(a==b) return 1;\n\telse\n\t{\n\t\tfor(i=2;i<=a-1;i++)\n\t\t{\n\t\t\tif(a%i==0)\n\t\t\t\tsign=1;\n\t\t}\n\t\tif(sign!=1) return 1;\n\t\telse \n\t\t{\n\t\t\tfor(i=b;i<=a;i++)\n\t\t\t{\n\t\t\t\tif(a%i==0)\n\t\t\t\t\tk+=fenjie(a/i,i);\n\t\t\t}\n\t\t\tk+=1;\n\t\t\treturn k;\n\t\t}\n\t}\n}\n\n\t\nint main()\n{ \n\tint n,a[100],i,k;\n\tscanf(\"%d\",&n);\n\n\tfor(i=1;i<=n;i++)\n\t{\n\n\t\tscanf(\"%d\",&k);\n\t\tprintf(\"%d\\n\",fenjie(k,2));\n\t}\n\treturn 0;\n}\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-8e6cbc17e54e4b3bb69d9b76aa9bf42c"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: /*\n *???: ????.cpp\n *??????\n *????: 2012-11-12\n *??: ????????????\n */\n\n\nint count(int num, int m)\n//???????????????????a1????????????\n{\n    if (num % m != 0) return 0;\n    \n    if (num == m) return 1;\n    else {\n        int counter = 0;\n        for (int i = m; i <= num / m; i++){\n                counter += count(num / m, i);\n        }\n        return counter;\n    }\n}\n\nint main ()\n{\n    int n,num;\n    cin >>n;\n    for (int i = 1; i <= n; i++){\n        int counter = 0;\n        cin >> num;\n        for (int i = 2; i <= num; i++)\n            counter += count(num,i);//a1???2???m???\n        cout << counter << endl;\n    }\n    return 0;\n}\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-eee5bb704acb4259a9ded86a005cdbb6"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int sum;\nvoid f(int x,int min)\n{ int p;\n  if (x==1) sum++;\n     else for (p=min;p<=x;p++)\n               if (x%p==0) f(x/p,p);\n     }\nint main()\n{ int n,i,j,k;\n  cin>>n;\n  for (i=1;i<=n;i++)\n      {sum=0;\n       cin>>k;\n       for (j=2;j<=k;j++)\n            if (k%j==0) f(k/j,j);\n       cout<<sum<<endl;             \n                    } \n return 0; \n    }\n\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-d6bac6d426524a16985d556ec6c7b26b"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: int main()\n{\n  int i,j,num[100],n,m;\n  int fj(int ,int );\n  scanf(\"%d\",&n);\n  for(i=1;i<=n;i++)\n   scanf(\"%d\",&num[i]);\n  for(i=1;i<=n;i++)\n   printf(\"%d\\n\",fj(2,num[i]));\n\n  return 0;\n}\n\n int fj(int k,int n)\n{\n  int c,i,sum=1;\n  if(n==2) return(sum);\n  else if(n==3)  return(sum);\n  else\n   {\n     c=(int)sqrt(n);\n     for(i=k;i<=c;i++)\n        if(n%i==0) sum=sum+fj(i,n/i);\n     return(sum);\n    }\n}\n     \n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-8ae46a1ef75c47a6a19aea09807675b7"}, {"text": "Definition: This task is to find the number of 'For' loops present in the given cpp program.\nInput: \nint main()\n{\n\tint f(int p,int q,int t);\n\n\tint n,i;\n\tint g[100];\n\tscanf(\"%d\",&n);\n\tfor(i=0;i<n;i++)\n\t\tscanf(\"%d\",&g[i]);\n\tfor(i=0;i<n;i++)\n\t{\n\t\tprintf(\"%d\\n\",f(2,g[i],1));\n\t}\n\n\n\treturn 0;\n}\n\nint f(int p,int q,int t)\n{\n\tint h[100][100];\n\tint i,k=0;\n\tfor(i=p;i*i<=q;i++)\n\t{\n\t\tk=0;\n\t\tif(q%i==0)\n\t\t{\n\t\t\th[k][0]=i;\n\t\t\th[k][1]=q/i;\n\t\t\tk++;\n\t\t\tif(k!=0)\n\t\t\t{\n\t\t\t\tt=f(h[k-1][0],h[k-1][1],t);\n\t\t\t}\n\t\t\t\n\t\t}\n\t\tt=t+k;\n\t}\n\treturn t;\n}\n", "labels": "3", "task_name": "task921_code_x_glue_information_retreival", "task_category": "misc.", "id": "task921-6b54b9f3877b4def874dac34f5d45e13"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX drives across town. Intent: 1) to get something in that area\n", "labels": "calm", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-c42d015d33cf4d8c8352795c99fdc0ab"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX teaches ___ to think. Intent: 1) to educate others\n", "labels": "powerful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-e9bdbf2ddfb5485084bb21ec243b7699"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX sees the eye doctor. Intent: 1) to check his/her eyes\n", "labels": "relieved", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-8bbb3bfd99b140169557632a983b99ae"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX prevents PersonY from leaving. Intent: 1) to stop the person from leaving.\n", "labels": "satisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-25e2a7e24a5b4365aa7d238fdeaba951"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX is going to fail. Intent:\n", "labels": "sad", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-da66430b43334e20a0c473ece7c5b3c5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX knows would have done. Intent:\n", "labels": "like", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-574c5dfd6b6d4cffae193537209823d7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX starts the car. Intent: 1) to go to the store\n", "labels": "stressed", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-98c9fabff26749b1a7f0d7315d3a8b75"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX adopts a puppy. Intent: 1) to be loved.\n", "labels": "fulfilled", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-64da3e37fb2547629d4993f578e127e2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX volunteers at a soup kitchen. Intent: 1) to be helpful\n", "labels": "happy", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-a3f88ea5fd6d447b8b49159ff0f63e2c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX pushes PersonY's tongue. Intent: 1) to have a more passionate kiss.\n", "labels": "aroused", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-5677cffc8aa147dda8ecb2e61657e81c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX leaves ___ in the hands. Intent: 1) to retire\n", "labels": "pleased", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-0135cdd4a37f411cab0376b375201528"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX talks about politics. Intent: 1) vent his frustrations\n", "labels": "angry", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-a66ccd4b9b324139a221cb62f005718b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX gets near PersonY. Intent: 1) to make them feel at ease\n", "labels": "happy", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-7a6f7e8a17c44d6f92a970df1ef5bd9b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX gives PersonX's orders. Intent: 1) to let people know what he wants.\n", "labels": "powerful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-c066f3d60a96492e8a5b9b64ab8f34a6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX sings happy birthday. Intent: 1) to be jovial and festive.\n", "labels": "satisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-75f89dfa97a440bca2c357b1e483decf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX is bored one day. Intent:\n", "labels": "lethargic", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-c720d9d1ed194bfa8d63186ba2038764"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX works long hours. Intent: 1) to have all financial documents in order for audit.\n", "labels": "very", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-8e9f0f99fcf84df89bed0642d940926c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX shaves PersonY's face. Intent: 1) to be nice 2) to be helpful 3) to be sensual\n", "labels": "happy", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-83a85894eca24abaa4d314000bb0df7f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX knows the ___ intimately. Intent:\n", "labels": "assured", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-6c8e5648a2134102bed90d9a32d3f301"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX finds a wallet on the street. Intent:\n", "labels": "sad", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-b2e08c069e494605b6fe63c4d83dfbeb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX jets set. Intent: 1) to travel in luxury 2) show their wealth\n", "labels": "important", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-12c44f4694ee42f4ac7e258a00f9ba4b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX tells PersonY PersonX's story. Intent: 1) to share a story\n", "labels": "grateful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-4b7fca5c160945b9a70bc14047876962"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX casts ___ before swine. Intent: 1) casts pearls in office\n", "labels": "very", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-0c03d883c3684f97ae348430172903ef"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX spends ___ at home. Intent: 1) to rest.\n", "labels": "relaxed", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-4f337e17d85346459acc63ce1d1f71d1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX puts a ___ together. Intent: 1) to express themselves to others\n", "labels": "creative", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-e03ad2ffe04d4c098dd51cd949f9b6d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX really likes. Intent: 1) be happy\n", "labels": "satisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-66cba56eb0d047638a587da4ab930d9a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX performs PersonY's work. Intent: 1) to help persony\n", "labels": "satisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-ce5bbbc6865940738e9648aaed7a78da"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX suffers every ___. Intent:\n", "labels": "sad", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-3c8bcb9bf36940128cb89395afee97dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX leaves ___ behind PersonY. Intent: 1) to find their way home later.\n", "labels": "lost", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-0a33a474a6e34dc885b9f4ecaeb73f69"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX expresses PersonY feelings. Intent: 1) to be expressive\n", "labels": "helpful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-4e6f0238995f45aaa32e62d06149c713"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX lies on the sidewalk. Intent: 1) rest 2) to feel better\n", "labels": "rested", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-f11b95fa9d024da3a3ffe47bb23c87dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX affects PersonX's health. Intent:\n", "labels": "unhealthy", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-1cc72e782ac34bd99b405b2151486669"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX asks ___ what the problem was. Intent: 1) to know what's going on\n", "labels": "curious", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-4c5203747492454d8b1fe72fe65593e3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX knows PersonY too well. Intent:\n", "labels": "like", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-94d8003d0d8744bf93447749913a324c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX wills definitely. Intent: 1) to complete it\n", "labels": "achieved", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-16583599aa9b41518212a025ed42fbf2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX raises PersonY's eyes. Intent: 1) to look up and see\n", "labels": "informed", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-b06cc22ae7c1400aa6b80e9dff347b7a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX goes home happy. Intent: 1) to get home 2) is pleased and done.\n", "labels": "great", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-241ecc16cc0d4a4cb98ea6b4bec3f514"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX evens got ___. Intent: 1) to go to party\n", "labels": "great", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-63dbb4106a304f97bb5373bcfa96a2a3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX spends the ___ looking. Intent: 1) to be thorough\n", "labels": "content", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-0c6efc1d37b8475b8bf02e22e632c077"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX asks PersonY for a date. Intent: 1) to have a relationship\n", "labels": "nervous", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-a46080d8f3c545188e901f7425658509"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX hangs the moon. Intent: 1) like showing off\n", "labels": "loved", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-947198aa477d4922862a25fc83db112c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX looks straight ahead. Intent:\n", "labels": "distracted", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-37cfb30979ea40ff80847c78ac2abd89"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX gives PersonY education. Intent: 1) to teach persony about something\n", "labels": "helpful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-15e891ef61af4b98b176ff2e23d168f9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX hears PersonX's music. Intent: 1) to check his work\n", "labels": "dissatisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-13ebcac0ffc7446b9a90210ef4a6c455"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX lives over the brush. Intent:\n", "labels": "neutral", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-23f62936c3d6400e9498791298216a3b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX falls everywhere. Intent:\n", "labels": "drunk", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-40b9994935c3474998e1186968fba7d5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX especially enjoyed. Intent:\n", "labels": "happy", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-0a5a1c81f6764ea4a0c7de9e5946c334"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX calls PersonY's landlord. Intent: 1) to learn rent prices\n", "labels": "informed", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-3849dabd43cb48be9f2d36c85f879411"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX drinks PersonY's coffee. Intent: 1) to be mean 2) to do what persony asks\n", "labels": "guilty", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-a97a76623782460491bc7c1c1e0539dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX lets the dog outside. Intent: 1) to have the dog urinate outside\n", "labels": "pleased", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-e339fb319f4b46959a23e2fec8578dd8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX keeps PersonX's cards close to PersonX's chest. Intent: 1) to be sneaky\n", "labels": "accomplished", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-745f0cd18f17422aa3a9fd568c5eec66"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX drives all the way back. Intent: 1) to get home sooner 2) to get away from where they were\n", "labels": "satisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-4c89621655fe4fa498a054d3aacf0786"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX takes a look. Intent: 1) be aware of their surroundings\n", "labels": "curious", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-7d488a7eb33740a2a252727c4b98fe21"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX throws the book. Intent: 1) show anger\n", "labels": "upset", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-7cf81c709725499199217adbd8b50f4a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX pulls PersonY's head. Intent: 1) to hurt person\n", "labels": "annoyed", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-e2a8e5a90a594f58bd9322322fc8244d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX gets PersonX's car. Intent: 1) to go somewhere\n", "labels": "like", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-276b7d2cf2cd410cbfd1070815e47ca3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX covers PersonY's face. Intent: 1) to respect the dead\n", "labels": "solemn", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-07a0fd0166a444e59e2efa229e56b19b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX gives PersonY a seat. Intent: 1) to give a spot to someone in need\n", "labels": "considerate", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-1de7250f7ccc44b08f0bb0a822fd9a37"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX boards PersonX's plane. Intent: 1) to take a trip 2) experience flying 3) learn to be a pilot\n", "labels": "excited", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-7dfd4149db3a4bfe93c0e749cb7547f1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX develops web presence. Intent: 1) to be known and make money\n", "labels": "like", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-8a87ca1825c14c7b814c5e3857f29148"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX pushes PersonY's hand. Intent: 1) to flirt\n", "labels": "bashful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-c113c52d4f3f40409198ec3ba03788bf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX feels very lonely. Intent:\n", "labels": "isolated", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-6fade4ec9ee84eebaadae606b2b18d40"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX studies the ___ carefully. Intent: 1) this is use your mind caresullyt for evevy time\n", "labels": "happy", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-8215de7795bb4c78af8e35fa07880ba5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX bumps PersonX's head. Intent:\n", "labels": "pain", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-0defd59410f849a49d2559c813e46adf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX returns to PersonY's house. Intent: 1) to see the other person\n", "labels": "excited", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-a1caa8e54a7f4936a62ab42ea9843954"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX gets PersonY's back. Intent: 1) revenge on person 2) to return favor to person\n", "labels": "satisfied", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-a86d815dd8c0415fbf91f3f2d4aa09c5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX is moving to a new apartment. Intent: 1) to live in a better place\n", "labels": "successful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-f31ab6937ddf4b6ca54108ae93b1fbf0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX produces PersonY response. Intent: 1) to help\n", "labels": "helpful", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-33cddbc8707540abb68d0975b95b443f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX goes a week. Intent: 1) to spread the time out\n", "labels": "responsible", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-21ab288f7e2a47cd9ca291a9e3435c08"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX marries soon. Intent: 1) to start their family\n", "labels": "like", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-fb83d82a922f431584522d2aa52d936b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.\nInput: Event:PersonX directs every ___. Intent: 1) animal are playing forest\n", "labels": "like", "task_name": "task922_event2mind_word_generation", "task_category": "misc.", "id": "task922-e06f2203434749e295f8bc0427b18467"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rides PersonY's bikes. Intent:. XEmotion: 1) like they are sick\n", "labels": "also enjoyment", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7442c539da92472b91465a9e7fe694e2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX points PersonY in the direction. Intent:. XEmotion: 1) like taking a photo 2) like buying a camera\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c5879d33d9d04c35b8a91a5a5d112693"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX schedules an appointment. Intent:. XEmotion: 1) confident 2) uplifted\n", "labels": "confident", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-aec04aebd4444c7fbd488345b0550ac6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX scars PersonY to death. Intent:. XEmotion: 1) in a financial pit\n", "labels": "horrified", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0f30980a36ea4df29082c863e7a7d7e0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rubs PersonY the wrong way. Intent:. XEmotion: 1) sad 2) depressed 3) anxious\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-15611206e9ca4387b1e5d0ebf86c54fc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX removes ___ from the blood. Intent: 1) to take control of a project. XEmotion: 1) in control of the situation\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9a559500baf24be8955e07cb65032ec1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX explains PersonY's reasons. Intent: 1) the craft to be perfect.. XEmotion: 1) energetic.\n", "labels": "supported", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ba7799c11233425b90bc85e7e051d6a2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX agrees to help PersonY. Intent: 1) to eat what they enjoy.. XEmotion: 1) happy and satiated.\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a7fb6e4d391452084ab081dc6c43885"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonY every ___. Intent: 1) wants a new career. XEmotion: 1) happy\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-492f40cf04bd4e4e8a912b7ca484d639"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX grabs ___ from behind. Intent: 1) to have fun 2) to get better at some game. XEmotion: 1) guilty 2) lazy\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-997731167f9a4380b6278201c40527ac"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX completes PersonY's homework. Intent: 1) to show her love.. XEmotion: 1) happy.\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0015d8941a854cd7bfe0ab45e0fee600"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX forms PersonY alliance. Intent: 1) to expose his characters to others. XEmotion: 1) happy and expecting reaction from others\n", "labels": "stable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ab5b47262e324069a244618b2b8c9844"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends PersonY's son. Intent: 1) to eat cookies 2) to enjoy with y. XEmotion: 1) fun 2) happy\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e273cb0cab78425db2ad520e555f1f91"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX coordinates PersonY's efforts. Intent: 1) cleanliness 2) to be neat. XEmotion: 1) satisfied 2) clean\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-33b6b8b2a1f345af9efa4020927080ff"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes a speech. Intent: 1) to tell them important news 2) to have a party. XEmotion: 1) if bad news 2) sad 3) if for a party 4) happy\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bcd8af211be147b5a9ff339a2013bffc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX works on PersonY's car. Intent: 1) to manager 2) to lead. XEmotion: 1) happy 2) responsible\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f0af8da04b664de59ba9f9f217c1d766"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds PersonX's father. Intent:. XEmotion: 1) unentertained 2) unamused\n", "labels": "a mixture of emotions", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9d18994a2bfc4b769706a82f078629ca"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX texts PersonX's friend. Intent: 1) to know the truth. XEmotion: 1) relieve\n", "labels": "accepted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6eb42430d2214ade9e20e36d214a76dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX extends PersonX's power. Intent: 1) to be with perosn 2) happy. XEmotion: 1) happy 2) satisfied\n", "labels": "cautious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30e1ea9f897449d5902d03df8853dc56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX commits PersonY offence. Intent: 1) to eat. XEmotion: 1) sated\n", "labels": "victimized", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c150b152283b4538bded58e16c893425"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX waves back. Intent: 1) to be serious with their work. XEmotion: 1) reliable\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ca8b0e6754a14f33a70a5e08c868cb8c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has fun with PersonY's friends. Intent: 1) to be nice. XEmotion: 1) giving\n", "labels": "friendly", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2c83982138764ffb92fe450574de3ee7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets a speeding ticket. Intent:. XEmotion: 1) amazed\n", "labels": "justified", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-910f705e5e8246778dfb6e97f6682b69"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brushes PersonY's fingers. Intent: 1) to play video games. XEmotion: 1) entertained\n", "labels": "embarrassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d6f3a143be29448f8e6384e2b64969ed"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY's opinion. Intent: 1) their hair to look good.. XEmotion: 1) attractive\n", "labels": "flattered to be asked", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5890fea4b0794206bb20668efc7037aa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rides shotgun. Intent: 1) to win. XEmotion: 1) strong\n", "labels": "fear", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d1c028d53d724273bfa1608d086152d5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is in a bad car accident. Intent:. XEmotion: 1) poor 2) humble 3) helpless\n", "labels": "guilty for causing the accident.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b538d17eab2a43c8be2eb0dcda5762e0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds friends. Intent: 1) to make the machine work. XEmotion: 1) happy  that it has started working\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7abf9c696f5341419a968931ad50fc3b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonY's friends. Intent: 1) to save money. XEmotion: 1) disappointed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-443e1960d0cb4415b1dbde1f862eaf45"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes clean. Intent: 1) don't want to expose his emotion to others. XEmotion: 1) depressed and sad\n", "labels": "thankful for personxs honesty", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ce6b80e074aa430e8c48f82dbdcddb3c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps PersonY ___ on things. Intent: 1) to make sure they leave safely. XEmotion: 1) sad to see their friend go\n", "labels": "grateful & appreciative.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4f88562009a34bc9a500a664af5040b3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ the money. Intent: 1) to refresh their look. XEmotion: 1) anew\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7ece0269434249508e2a96d875c986cd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX looks familiar. Intent: 1) clarification. XEmotion: 1) relieved\n", "labels": "confused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-157ce051aaa4446c8487d3155c1f0993"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX warns PersonY of the danger. Intent: 1) to hurt persony 2) to intimidate persony. XEmotion: 1) vengeful 2) powerful\n", "labels": "worried.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b9ff4288716845c7b959c08294ae1a27"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds ___ in the park. Intent:. XEmotion: 1) upset\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1f5431d673854daa8bcaf2470bac3b4b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonX's parents for one. Intent: 1) to read 2) to be engaged in a story. XEmotion: 1) happy 2) satisfied\n", "labels": "generous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-81a9db25317b4dbf8537fe88d7205cda"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hugs PersonY back. Intent: 1) spends part sitting the chear. XEmotion: 1) grateful 2) happy\n", "labels": "loved and needed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-37a2c420947f4095b56494cb7bdfbc4b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes and see PersonY. Intent: 1) to be patient. XEmotion: 1) patient\n", "labels": "elated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eb9a9fa15a01445280354ee910b538d7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ one. Intent:. XEmotion: 1) filthy 2) uncomfortable\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2f937ed8154c4e258eb2ade62bca085a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX casts PersonX's vote. Intent: 1) to relax at home. XEmotion: 1) happy\n", "labels": "acknowledge & recognize person xs patriotic behavior.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1aab7f18c9434353bb76cfb39c9ca553"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX looks at one another. Intent: 1) to be controlling. XEmotion: 1) dominant\n", "labels": "intimidated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1c521093635c4d33848ad82d6d76bb46"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY power. Intent: 1) to go home. XEmotion: 1) guilty\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-64d90f87d2314c1b98e42a01c3d4552a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stands PersonY in good stead. Intent: 1) make that day special. XEmotion: 1) attentive\n", "labels": "good for being able to be counted on", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ed0acd53c0cf4904b1221e91216fb46f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX seeks ___ from others. Intent:. XEmotion: 1) neutral\n", "labels": "helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-41dc995d5d674844a8209be2fa979b82"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX eats PersonY's candy. Intent:. XEmotion: 1) dejected 2) unhappy 3) like a loser\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f9a0fd8f5ca249968ff2adf1cbb41d0c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It quickly realized. Intent: 1) a new beginning. XEmotion: 1) renewed\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d65146ca946b4125a83bd76dc7ba8da5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX checks PersonY's phone. Intent: 1) to be a generous person. XEmotion: 1) satisfied about himself.\n", "labels": "violated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f594822c0bfc4a97b7bef8708beadf8a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes care of it. Intent:. XEmotion:\n", "labels": "beholden", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9a7ca23027b2412ca059acd49930f137"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX eventually asked ___. Intent: 1) to fish. XEmotion: 1) excited 2) accomplished\n", "labels": "like maybe they should tell them the reason", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7f5304b6d6584219a13191bed5c9f1ab"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY static. Intent: 1) to physically connect with their friend. XEmotion: 1) loved\n", "labels": "motivated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4fb742be4f4c421ebb3d0e57613d3854"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks friends. Intent: 1) this person's hips in a different location. XEmotion: 1) accomplished\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4144ed5a89ab406980cea374b32ae821"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ on a trip. Intent: 1) to have the best workers. XEmotion: 1) in charge\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a3e1f529477941d1acdd8ffc889e1a0a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hires on the spot. Intent: 1) to learn math. XEmotion: 1) smart\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-775b8a45b6ab4faa913a07c115608c91"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX carries out PersonX's threat. Intent:. XEmotion: 1) sad about it\n", "labels": "afraid", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9ebccda2f56b4135917ef4a0385fb525"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX bites PersonY's head off. Intent: 1) to communicate. XEmotion: 1) optimistic\n", "labels": "sad and hurt.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f145b556810c47668ff84e74fedafd2e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX nurses PersonY back to health. Intent: 1) to be friendly. XEmotion: 1) happy\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1b3091a579d04d4e902a175cfe2d7260"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits a ___ near you. Intent: 1) to posses something. XEmotion: 1) happy\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e22f7b1e6e974c54a9c937e26ab8bbe3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX casts pearls before swine. Intent: 1) to give kiss. XEmotion: 1) nervous\n", "labels": "amused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b1be7409d55749dabc1fbe19c2300e44"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX supports PersonY's family. Intent: 1) to gossip. XEmotion: 1) happy\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8f06710b3de84feea351bc2172fbe7d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends shivers down PersonY's spine. Intent: 1) to earn money. XEmotion: 1) hardworking 2) tired 3) annoyed\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3a60c5a7c9444fac913c4daf461ae0be"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes to see PersonY. Intent: 1) to go somewhere. XEmotion: 1) comfortable\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-713c8503d7204d308c138878f5b717f4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows PersonY's opinion. Intent: 1) to hurt the bishop 2) to be victorious 3) to win. XEmotion: 1) victorious 2) triumphant 3) elated\n", "labels": "connected to x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cc5893b932084328b2c0dd798c1fce3b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is really loud. Intent: 1) to finish his task. XEmotion: 1) attentive 2) absorbed\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0b0c689bf23d460aa5cd899514d5dea7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX describes briefly the ___. Intent:. XEmotion: 1) angry\n", "labels": "satisfied with the exlanation", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4d6d885cbc814fb1ac642726567fd4c4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX discusses in PersonY chapter. Intent: 1) to buy something nice or pay off bills. XEmotion: 1) happy 2) fulfilled\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-52c01b09426f420c92613080bfe48807"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX opens PersonX's own business. Intent:. XEmotion:\n", "labels": "jealous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-086fc4392ef64b97ba996ad211bf71c0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It tastes great. Intent:. XEmotion: 1) that they know y more fully\n", "labels": "impressed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ae9ab70a76fd4427812bdaba3d4a989c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves in the game. Intent: 1) to wear something better. XEmotion: 1) attractive\n", "labels": "disconnected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cd7c0ec7140b4936b6bfc5f9218dae31"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX grinds PersonY for a month. Intent:. XEmotion: 1) nan\n", "labels": "angry at personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fec73854b1e848a4aeb8dda9e7d86273"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches PersonX's ___ to read. Intent: 1) to measure. XEmotion: 1) nice\n", "labels": "feeling good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e3562c81c8804c4dbed3900f76315377"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX breaks PersonY's window. Intent:. XEmotion: 1) horrible 2) guilty\n", "labels": "mad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a1efb23d96a74ce5bc7a7e2f08bb1f48"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes to the beach with PersonX's family. Intent: 1) to be controlling 2) to be dominant. XEmotion: 1) powerful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f93fed80bae649509fb9e256f4810086"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wraps ___ around my neck. Intent: 1) to follow rules. XEmotion: 1) glad\n", "labels": "choked", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-82417f2055bc450a8740f7e9b3fa077c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses drugs. Intent: 1) to brag a bit. XEmotion: 1) proud\n", "labels": "unhappy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9a70358f125d494bb51cf1d66f618bbb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stops caring. Intent: 1) to be a great success.. XEmotion: 1) proud about his skill.\n", "labels": "unwanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-312c722e8a2b462983f8eeb70475fedd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays ___ on PersonY's phone. Intent: 1) to play with a friend. XEmotion: 1) enjoyment\n", "labels": "content", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a54850f1c2b74d8faea2c888c00c0b47"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sings PersonY's songs. Intent: 1) hungry. XEmotion: 1) full\n", "labels": "appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-89de62ce461f447baa02b80f67bff568"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a pat. Intent: 1) to make money. XEmotion: 1) satisfied with job 2) determined to get the job done\n", "labels": "accepted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-39c452b83ada489fb20af2c63af69d0e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pays ___ to the subject. Intent: 1) to meet his buyer 2) to meet the business delegates. XEmotion: 1) expecting 2) confident 3) excited\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7340ae73e75e4ae1bf5a399f03d46f4c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX clenches PersonY's teeth. Intent: 1) to help him in the hour of need. XEmotion: 1) contented\n", "labels": "belittled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f2dd1e59f93d4a44939ef71973c42e8f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX runs smoothly. Intent: 1) to attract people. XEmotion: 1) proud\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3d5c02b9641547e49b72ef0e4ff38f53"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX manages PersonY's ___ in PersonY's way. Intent: 1) be intimate with someone. XEmotion: 1) good because they had sex\n", "labels": "managed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-33db3a4a40554d3a9ec3b4005db26b6d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX acts on PersonY's behalf. Intent:. XEmotion: 1) worried 2) nervous 3) afraid\n", "labels": "useless", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-34fbe5e9b4ab4dc4a4346f8b7b80707a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shares ___ with PersonX's friend. Intent: 1) to make a change. XEmotion: 1) different 2) happier\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-594ea21c898b409a9803c832ff9a443c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX discusses briefly the ___. Intent: 1) to drink. XEmotion: 1) relieved\n", "labels": "most likely good and understanding", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d00f132ac18640ed8a21f9581cbce789"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ to goodwill. Intent: 1) companionship 2) entertainment 3) love. XEmotion: 1) yearning 2) lonesome 3) sad\n", "labels": "like there well fair is being contributed to", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-685a248278ed4fde9b37367c90ffa0ba"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loves PersonY's performance. Intent:. XEmotion: 1) sorry about the chaos.\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-787807174b2e48c690dc0133d8186a87"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finishes high school. Intent: 1) to have the dinner ready in the evening 2) to have a good thanksgiving. XEmotion: 1) content 2) industrious\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62954c31538d47e6bc1a78314db7619d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY mean. Intent: 1) to protect 2) to save. XEmotion: 1) proud 2) protective 3) accomplished\n", "labels": "also clearness", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9a9ee843e18f4100a184010592b54f5f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX spends time with PersonY's friends. Intent: 1) help. XEmotion: 1) thankful hopeful\n", "labels": "glad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-df8600fba6574074bb54c276f7eceb7e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX avoids every ___. Intent: 1) to make a living. XEmotion: 1) accomplished\n", "labels": "ignored", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4e8b8c4e9a54a549a4fc451b498aa9c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lays ___ by side. Intent: 1) to be done with it. XEmotion: 1) relief 2) proud\n", "labels": "warm", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4f2d17aaa5374b528b0e637a972f10d9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX supports PersonY's case. Intent: 1) to plan ahead. XEmotion: 1) cautious\n", "labels": "gratitude", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dccf8f5f7e8744e9abbd5fc30a730e41"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY support. Intent: 1) to make money. XEmotion: 1) richer\n", "labels": "supported", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bf5ca414ec094741be1a7b1174dfc056"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX left PersonY behind. Intent: 1) gain knowledge. XEmotion: 1) informed\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-feb7957671e84c14a69d325812b3ccd4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX catches ___ in the act. Intent: 1) order in the workplace. XEmotion: 1) resourceful 2) hopeful\n", "labels": "guilty", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-68ab5ddd53c24b589fc8f342054668be"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY a job. Intent: 1) to get outside. XEmotion: 1) tired 2) worn out\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dd74a5e9fc0649c6ae00cf1eb81b84d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells my mother. Intent:. XEmotion: 1) happy 2) thankful\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1a30bfab84694ab9b72e249a56e1fac3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX says maybe. Intent: 1) to be clear 2) to know the mean. XEmotion: 1) positive\n", "labels": "confused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bd899e136f9a4915b17e22fca9e7050c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays PersonY's heart. Intent: 1) grateful. XEmotion: 1) nice\n", "labels": "used", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-55104d1f9ad340849f9a7a73cf6fc834"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX waves goodbye. Intent: 1) to have fun 2) to be social. XEmotion: 1) happy 2) appreciated\n", "labels": "greeted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-10049ffa966c406b8e01595d4eef00a0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX improves ___ in patients. Intent: 1) to start whatever it is they're doing 2) to see what happens. XEmotion: 1) anticipation\n", "labels": "grateful & appreciative.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f41fef8c89c94540a936402fa459dfaa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lays behind PersonY. Intent: 1) to be dilligent 2) to hurry. XEmotion: 1) accomplished\n", "labels": "like a partner", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b828ec228452400d80ef2b64078cd98a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses PersonY temper. Intent: 1) to share. XEmotion: 1) generous\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b8fc6fee9f284f7e9cb5b593b9e078c0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts last week. Intent: 1) to eat. XEmotion: 1) full 2) happy\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9259e1ae2b45479eb287b017064cbb0d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX satisfies PersonY's need. Intent: 1) to follow instructions after his eye surgery. XEmotion: 1) dutiful and happy to care for the person\n", "labels": "cared for", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5f783f3de00d46159ca43026be118ae1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX invites PersonX's friend. Intent:. XEmotion: 1) knowledgable\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dfa0b092b88044dcbc23c6fbe16e4608"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches PersonY's children. Intent: 1) efficient. XEmotion: 1) annoyed\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-67efd08e17a04979939e8914df33bb57"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX declares PersonX's intention. Intent: 1) to get closer 2) to be loving. XEmotion: 1) happy 2) loving\n", "labels": "enlightened", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-41b6f66e1b2d46fdba82a884c3b68fa0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has no money left. Intent: 1) persony's name to be celebrated 2) to show their belief in persony. XEmotion: 1) happy to have lifted up their friend 2) closer to persony\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ed0ea1fdcd3b4647ae50b0419be10b60"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX saves the woman 's ___. Intent: 1) to reward someone 2) to fill a position. XEmotion: 1) glad 2) proud 3) relieved\n", "labels": "forever loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-43680a2cee704946aefe8e96ba923e90"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes care of PersonY. Intent: 1) open. XEmotion: 1) open\n", "labels": "very grateful and happy that x cares", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-aa41b55aae58451697cf53dd93275a8b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loves ___ for PersonY's sake. Intent: 1) to earn money 2) be responsible. XEmotion: 1) dutiful 2) responsible\n", "labels": "very grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ea182cb3cd5143a19289b52642812dc2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX would make it. Intent: 1) to go home. XEmotion: 1) happy exicted\n", "labels": "proud of person x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62c44fe54fa44310af0288a11c7aa262"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches ___ how to fish. Intent:. XEmotion: 1) nervous.\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dd6f484cc40c43dc86165b9b15729db3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX persuades PersonY's ___ to return. Intent: 1) their yard cut. XEmotion: 1) re leaved\n", "labels": "warm", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cc0397026f2e4ecfb5241b6a784a423c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes decent money. Intent: 1) to keep __ close by. XEmotion: 1) useful\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5d28b559835c400786902256d2efa2b4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ in the war. Intent: 1) to be proactive 2) to make plans. XEmotion: 1) productive\n", "labels": "defeated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-600ddb677c9546adb728586d6b4ed772"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wants to date PersonY. Intent: 1) to do what they want 2) control 3) attention. XEmotion: 1) powerful 2) guilt 3) shame\n", "labels": "excited to go on date", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3f8f84cc2da8447db49f879bf189fecd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to go home. Intent: 1) to have fun. XEmotion: 1) free 2) happy\n", "labels": "a little sad to see him go home early", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2f2438460d364714a331ef19c024f40e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches or practice ___. Intent: 1) to be excused 2) to be understood. XEmotion: 1) nervous 2) annoyed\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1dd4841c7a664efb8ee24b77e022aace"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kisses PersonY on the forehead. Intent: 1) to be able to ride by themselves. XEmotion: 1) determined\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-25d53c8ed6fe478f84f94882e7fd6e92"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX surprises PersonY's girlfriend. Intent:. XEmotion: 1) upset\n", "labels": "happy that someone did something funny with them.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-af0aa9dfc76a4d7c9dbd6616106a4d63"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings PersonY to the point. Intent: 1) to teach persony about something. XEmotion: 1) helpful\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b914fd20d14247baa913619bd66eb61a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives the children. Intent: 1) to solve a crime. XEmotion: 1) a sense of closure\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-12d687d797614d6ab90141cfc486dfdb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps ___ in distress. Intent: 1) needs a car for the day. XEmotion: 1) thankful\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d86131f1d2804237975937c5909503d0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX offers to help. Intent:. XEmotion: 1) surprised\n", "labels": "they feel assisted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2123a6bc97674d0ea6089b703e2d3313"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY shelter. Intent: 1) show their support. XEmotion: 1) content 2) determined\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ef76804cdfe94c68a0b21bf776f28a9a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY decision. Intent: 1) to spend their life with a significant other. XEmotion: 1) happy 2) elated\n", "labels": "vexed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1a86f22aea184da2843a1e9f2b846f7c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends money ___. Intent: 1) to be entertained. XEmotion: 1) active\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-640c9842341944678f20fed673b4908c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX ruffles PersonY's feathers. Intent: 1) to get what they feel they are owed. XEmotion: 1) satisfied 2) justified\n", "labels": "bothered", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-df3caef47076460092550160747eca3d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX provides PersonY description. Intent: 1) to leave. XEmotion: 1) blocked 2) frustrated\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-09a0e81daced42d6acba2e6ca64bf54b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX runs PersonY's fingers through PersonY's hair. Intent: 1) to take their time walking. XEmotion: 1) relaxed\n", "labels": "aroused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-95869bd6d1f14d9c9b1829e19719e0e2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY fixed. Intent: 1) to be christian. XEmotion: 1) happy\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ebd8c1aa142f4ea1a5b5cdd58e36e430"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses PersonY's grip. Intent: 1) to have fun. XEmotion: 1) happy\n", "labels": "sad that they couldnt hold on to her hand", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b1d013d7e416496fb5617df82046b724"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes care of PersonY's children. Intent: 1) to cook something/someone to eat. XEmotion: 1) apprehensive 2) excited 3) hungry\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62e11115add44617912ed453d3bba304"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX talks to PersonX's boss. Intent: 1) a pretty bouquet. XEmotion: 1) joy\n", "labels": "awared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1d087eeed80642568a497afd873b1a49"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX advances upon PersonY. Intent: 1) to have a girlfriend 2) to be loved 3) to have sex regularly. XEmotion: 1) loved 2) happy 3) lucky\n", "labels": "worried nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a9f0fb970a194756958ed52aa57dd694"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys ___ for my wife. Intent: 1) to get rid of her. XEmotion: 1) sorry for her\n", "labels": "like it will help out", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1ed2642eb27d420cb5f8b5027a5f2b33"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's parents. Intent: 1) to be dominant. XEmotion: 1) powerful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-23adea9da5f54fc6b7b6edf2d68644dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX bothers PersonY much. Intent: 1) to nail something down. XEmotion: 1) satisfied\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d78523790b0544548804c8a2cf390dab"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX cuts PersonX's arm. Intent: 1) to be noticed. XEmotion: 1) important\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-087cc0221c9f4555b5e1a66866c290f8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leans PersonY's forehead. Intent: 1) to someone to represent 2) situations to represent. XEmotion: 1) happy 2) satisfied\n", "labels": "content", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8c2ca37f383c4d80a3a2dc35415b6eee"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a deal. Intent: 1) to be like y. XEmotion: 1) like a better person\n", "labels": "good they got a deal", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f1dea647e30f49428f54aff27ad9ff56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX breaks ranks. Intent:. XEmotion: 1) unkind 2) unloved\n", "labels": "stepped on.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7a4976358e904b48b393e93cf4ede186"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX never told ___. Intent: 1) view something in specific with concentration. XEmotion: 1) authoritative\n", "labels": "betrayed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5103e51082094bad8af151a638607d56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX defrays ___ in connection. Intent: 1) to be noticed.. XEmotion: 1) excited.\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cc871d04bec8470889d1cd1911586ebc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX convinces PersonY's parents. Intent: 1) to be closer to work 2) to get out of their parents home. XEmotion: 1) excited 2) nervous 3) anxious\n", "labels": "questioning", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a6885eeb845e421995a002ec3b1b301a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It says yes. Intent: 1) to transport goods to make living. XEmotion: 1) happier to be busy working with his new truck\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2c7c6b271b33407bb8c303ecf82c9876"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY to leave. Intent:. XEmotion: 1) s ared\n", "labels": "upset that they were asked to leave", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-deb2a69b6faa4f71a2927cae4bb87c04"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY felt. Intent: 1) to be helpful 2) to make personal y safe. XEmotion: 1) relieved it's over 2) neutral\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-404bff7dd1534d6aa75a388dfbb6522f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes and watch. Intent: 1) to gain financial security.. XEmotion: 1) less stress 2) happy 3) and excited.\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fffce7e5ca5a43d89ef7204828ba3de1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls PersonY name. Intent: 1) to enjoy movie. XEmotion: 1) great\n", "labels": "irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2ad5589ed8c34c909ac7d1943720cb96"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX prevents the ___ from leaving. Intent: 1) to take responsible.. XEmotion: 1) obligated.\n", "labels": "gratitude", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3986785a7bee48f6b89e82eb2f591c1a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses PersonY's middle finger. Intent: 1) to be free. XEmotion: 1) freedom\n", "labels": "offended", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8e8ecc20cf714becae3a9eab11723601"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY to turn it down. Intent: 1) to complete the project. XEmotion: 1) relieved\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-59032b7ce85e44848c0ffa077c146e26"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX amends the ___ by adding. Intent: 1) to fill the position. XEmotion: 1) satisfied\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3b82ce8cb20f461a8b0507cede48a8c0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It locks PersonX's keys. Intent: 1) to help out. XEmotion: 1) lovely\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a502c339fd704988a7983991509337f3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY his head. Intent:. XEmotion: 1) clumsy 2) hurt\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a05ba1eb0f1649739d07d147d918384b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX challenges PersonY to a game. Intent: 1) educate his children 2) considers it a duty. XEmotion: 1) content 2) satisfaction\n", "labels": "anxious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1acd8be310fe41708ef8271ed95134f7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX suddenly appeared. Intent:. XEmotion: 1) very worry 2) shame\n", "labels": "embarrased", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-454ebc53b4f241d78b7d89db4c2a2883"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ to school. Intent:. XEmotion: 1) scared\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cb9b52a61de547cdb3c6cb8bcfc8a51d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wraps PersonY's fingers. Intent: 1) to be informed. XEmotion: 1) interested\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6405a0137f614059bcf697e5071f8662"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX dyes PersonY's hair blonde. Intent: 1) to be nice.. XEmotion: 1) tired.\n", "labels": "pretty", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-95124fbe1a5a4d2097aa609a04016d89"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX twists ___ badly. Intent: 1) to know what she looks like 2) to talk with her. XEmotion: 1) good\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-34973fddb6894908896a3c6f275cc3f2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds ___ soon. Intent:. XEmotion: 1) sad\n", "labels": "found", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-25a505ce506c457da9f35f19abce53a9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY to the dance. Intent: 1) to supply food. XEmotion: 1) content 2) fulfilled\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-db14597832c14e8ba609a14412ad117c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sneaks up behind PersonY. Intent:. XEmotion: 1) satisfied 2) happy\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1a2700b2eab742d5af9fee5b2e6eb615"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is starting high school. Intent: 1) to masturbate.. XEmotion: 1) satisfied.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-91c9036ecf8340bd82f4f77fd44ce5c7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX writes PersonY answer. Intent: 1) to get a good grade. XEmotion: 1) determined\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3754fab30fd14717a9eaa1f681cf0c89"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings ___ into the world. Intent:. XEmotion: 1) dirty\n", "labels": "happy too.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ce8206aa48c3438b9dae4036c9daed37"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX likes PersonY much. Intent: 1) to see how it looks. XEmotion: 1) like their reflection is telling\n", "labels": "accepted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fcddf6a736264958a801b09180624262"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows that ___ well. Intent: 1) to have the car packed and ready to go. XEmotion: 1) good because they're prepared\n", "labels": "very happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4436fcbc01ad49a2b0d3b807f6d92433"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kisses PersonY tenderly. Intent: 1) to welcome them. XEmotion: 1) happy\n", "labels": "close", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d19f12801a804062a73d387eb146b685"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX reads PersonY's mind. Intent: 1) to be nice 2) to be helpful 3) to be sensual. XEmotion: 1) happy 2) content 3) loved\n", "labels": "nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-994098c716a0496a93cde67e1587efd2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX explains the situation to PersonY. Intent: 1) wear a costume and frighten trick-or-treaters.. XEmotion: 1) excited as they are surprising the children.\n", "labels": "clear", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a38cabe3212466e8a005a2204d982d4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX slides PersonY's hands. Intent: 1) solitude and quiet. XEmotion: 1) peaceful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4f9c9449ef54c78bf55888d9c4f819f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX watches football. Intent: 1) to be sociable. XEmotion: 1) happy 2) sociable\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-03b3c58bbbf94a88baee37a6f16d162f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX remains until PersonX's death. Intent:. XEmotion: 1) rewarded for what they did\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b708ee90760e47f99842fef11ad94eee"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX does n't love PersonY anymore. Intent:. XEmotion: 1) better\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8e3cea2729ac4b0885d2c01b96bb408c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts to cry. Intent:. XEmotion: 1) guilty 2) unhappy 3) worried\n", "labels": "pity", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fb76c0d6f06940568ef6b8e066f5bee9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX commands PersonY army. Intent: 1) to help someone work out.. XEmotion: 1) happy.\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d2234fb72465413bb78c4832f8b351fe"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY's plans. Intent:. XEmotion: 1) scared 2) tired\n", "labels": "resent towards personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1899cfcf1e9341aa8db2ddafbf4425d7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls security. Intent: 1) to go somewhere fast. XEmotion: 1) like he is really moving\n", "labels": "needed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3b832526668c49fc9b39a96f34c196ef"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX persuades the ___ to give. Intent: 1) to express his talents. XEmotion: 1) proud about himself\n", "labels": "confused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-23472956c4cb469fa0f4807652d714e8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets a new boss. Intent: 1) to feel rested. XEmotion: 1) refreshed\n", "labels": "hopeful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-83e9f0b2e0174c2486d57bfd8b896f2f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays a ___ in the process. Intent: 1) to help out persony. XEmotion: 1) helpful\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d55f85d5743943a2bb4aa6d606736208"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX screams bloody murder. Intent: 1) be a proud. XEmotion: 1) feeling good\n", "labels": "disturbed and upset.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5b87ae1e1d8c498a816069298d7c186e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY answers. Intent: 1) to tell the news. XEmotion: 1) ok\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-183f5ba1526e4b6398bfdc6276984457"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wipes PersonY's mouth. Intent:. XEmotion: 1) calm\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-39bb93a23a2c4b9f8c2feeeb8b9ed9b8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has been dating for a year. Intent:. XEmotion: 1) really good.\n", "labels": "affectionate", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-56673216817b46228a53fc1a1e0d7a82"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is always good. Intent: 1) to fool his attackers by changing his direction 2) to change his destination. XEmotion: 1) more diplomatic\n", "labels": "joyful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6428eca9435443219d765cabcf923666"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays video games with PersonX's friends. Intent:. XEmotion: 1) sick 2) itchy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c4df627aa9e54ab0a0f6144bab7919c8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wraps ___ around PersonY. Intent: 1) to use it to their advantage. XEmotion: 1) good\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0f4cdb6c1d9f4778a98ce303b0fc09cf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys ___ for PersonY's children. Intent: 1) to go on a date.. XEmotion: 1) nervous.\n", "labels": "very happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-89dcb5efbbac40bb9dae74537ec4b2f6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX strikes another ___. Intent: 1) to admire a celebrity. XEmotion: 1) excited\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0ad84d6c8a8346619a23531ac6bd5b01"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is a cold winter day. Intent:. XEmotion: 1) in pain\n", "labels": "bored", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8948f71cd1084fb0a44e52416f58ec52"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX says unto thee. Intent: 1) to make a smoothie. XEmotion: 1) healthy\n", "labels": "like they know where the other person stands", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7eaf8a330db74d278cac352a02857b6b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is driving PersonY crazy. Intent: 1) to be high 2) to be active. XEmotion: 1) excited 2) active\n", "labels": "crazy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1786531a49264a329d10464ff45ac4ac"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX returns home that ___. Intent:. XEmotion: 1) good things are doing alright\n", "labels": "safe", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b5b75547752040f7b08a337507ac10aa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX attends a wine tasting. Intent: 1) recover from obesity 2) to follow his physician's instructions 3) to be healthy. XEmotion: 1) happy and satisfied\n", "labels": "tired", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2167828d5c2f48cd819ba1aef0659364"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plunges the ___ into war. Intent: 1) to carry out his plan. XEmotion: 1) contented about the information he collected.\n", "labels": "bad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b3ba672c9c5f4f1d8c3d8b86570707cd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes my way. Intent:. XEmotion: 1) sacred of the noise 2) worried about a storm\n", "labels": "special", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f6b63851a4e049d4bd9f1e88a2580d81"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY to sit down. Intent: 1) to clean up the house 2) to keep things tidy. XEmotion: 1) relieved\n", "labels": "engaged in conversation", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0f928ed469024fd385e9f6e7c93af5ca"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tests PersonY's skills. Intent: 1) to look for something. XEmotion: 1) satisfied\n", "labels": "studied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c929f4c262ce45358a59a0442ee04778"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes and get. Intent: 1) to improve her skills. XEmotion: 1) accomplished\n", "labels": "like the food was appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-42204479951f4fe383492942c1dcc07f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX thanks the ___ for PersonY's assistance. Intent: 1) to avoid sickness 2) to stay fit. XEmotion: 1) healthy 2) energetic 3) able\n", "labels": "appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b51aa8f7f48d4f2fa7ee7fa2f54d8b11"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is first in line. Intent: 1) to be clearance. XEmotion: 1) only satisfication\n", "labels": "bad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-639a223b21284d5abfd939d063025c53"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY home. Intent: 1) to be a professional player 2) to get a scholarship. XEmotion: 1) proud 2) happy\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30658ee489b145aab4c4eb11de801345"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps ___ along. Intent: 1) social. XEmotion: 1) happy 2) excited\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-027a12a5f10d43d192b18700ae2887f4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX never expected. Intent: 1) to be a vampire 2) to taste their blood. XEmotion: 1) weird\n", "labels": "sad and being the one to tell bad news", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b4697bc1e7934d07905bb7c0938c7d42"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX clears PersonY's name. Intent: 1) to be healthy. XEmotion: 1) tired\n", "labels": "defended", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4986f1ab04974f11a8c20dfd43fe62d8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes a point. Intent: 1) persony to share. XEmotion: 1) close to persony\n", "labels": "informed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2dd726dcb99b4e36a153b032827c4f3d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets ___ enough. Intent: 1) to start the day. XEmotion: 1) rested\n", "labels": "understood", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9113f0d899394b98a1977563cb998201"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX touches PersonY's hand. Intent: 1) to be alone. XEmotion: 1) relaxed and tired\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cf2e652526ad4fb1b2f1fcbd15a66012"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes waffles. Intent: 1) to make the other person feel important. XEmotion: 1) happy\n", "labels": "full", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-64298a2994f6497298bfa2e88f62223f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pleases PersonY best. Intent: 1) to steal money. XEmotion: 1) aggressive 2) ashamed 3) guilty\n", "labels": "good for having personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cfb91e7b51d642298bb9847ebf2130bf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pushes ___ into the pool. Intent: 1) to be comfortable 2) to see clearly. XEmotion: 1) comfortable\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-775678b31858476a9b49943a61302127"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX induces the ___ to accept. Intent: 1) persony to live. XEmotion: 1) happy 2) excited\n", "labels": "happy and induced", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-35120eaa9d134292b6844abcc7637e40"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX places PersonY's hand. Intent: 1) to graduate from high school. XEmotion: 1) proud\n", "labels": "pissed off", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b25f13e98869418994839d815701910f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX snatches ___ away. Intent: 1) to express themselves. XEmotion: 1) like they got something off their chest\n", "labels": "angry that he took their stuff.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9b85fe0c4dff446587c1d2213c7f266e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX breaks the back of ___. Intent:. XEmotion: 1) smart 2) helpful 3) eager\n", "labels": "broken physically.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a4b93dc7788b4084bdf9f5155c5e8b1d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It starts one morning. Intent: 1) i hate this death. XEmotion: 1) i had you\n", "labels": "anticipation", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a56a2d18f8cf44b4a0679eaf572a0a09"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX grabs PersonY's wallet. Intent: 1) to give vent to his anger. XEmotion: 1) relieved of anger\n", "labels": "violaqted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9f02d23626244f67939302757c6ff87a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX affords PersonY the opportunity. Intent: 1) to get it done fast. XEmotion: 1) pleased with results\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d41adf577503439a92e718d30465dbda"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY impression. Intent: 1) to be honest.. XEmotion: 1) happy.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bc7120f76ffb4967bdb9105e2b523f32"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees the new PersonY movie. Intent: 1) get person's attention. XEmotion: 1) attentive\n", "labels": "nothing", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bac5156f4c1f4e78a3c7fcc23e981e73"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX excludes ___ from using. Intent: 1) the choice was best one. XEmotion: 1) was good carecter\n", "labels": "irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-adb8da11b807428cb1bebd3dac9f5b56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes ___ with PersonX's friends. Intent: 1) to not have pain. XEmotion: 1) less hurt\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4f150ea937db4a4792256c8753d97b25"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX attends a party. Intent: 1) to establish a set format. XEmotion: 1) organized\n", "labels": "good to meet", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6ea6abe068534d24bc7317395f8d7de2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX holds PersonY's head up. Intent: 1) to show his love 2) to see. XEmotion: 1) satisfied 2) happy\n", "labels": "frightened.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-af25abb47ed34219a681a96082949934"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX protects PersonY's ___ from the sun. Intent:. XEmotion: 1) lonely.\n", "labels": "cared for", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-df0057c902184dea9739c7d6301baaef"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets divorced. Intent:. XEmotion: 1) happy 2) relaxed\n", "labels": "alone", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-049e3b61742d4dda9ead5c4cc1a9ce01"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes things worse. Intent: 1) person y to be safe. XEmotion: 1) good\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e239e34a87a1430e8740788e63af1f30"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX resumes PersonY's work. Intent: 1) to pleasure the dragon.. XEmotion: 1) indifferent.\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-06dd4a2667e24845982d229ff11e3ac1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps others. Intent: 1) to get good at something. XEmotion: 1) accomplished 2) proud\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9a08634bb9b74e6f9fdf57335da9e648"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wipes the ___ from PersonX's face. Intent: 1) to help friend. XEmotion: 1) responsible for helping\n", "labels": "happy and loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c5ca90971249416b862c9627681f712b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonX's boyfriend. Intent: 1) to be with friends 2) to hear music 3) to party. XEmotion: 1) tired 2) upbeat 3) broke\n", "labels": "ashamed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-16ce9b2ccfcb40ef8d250df90b252b62"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lets PersonY go with a warning. Intent: 1) better. XEmotion: 1) good\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bec7bc33037840e4a10baadf9243b31e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ to the eye doctor. Intent: 1) to move out somewhere. XEmotion: 1) excited\n", "labels": "gratitude", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-26c15c65961c426391466d25ba356226"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX changes PersonY's dress. Intent: 1) to honour him. XEmotion: 1) contented and grateful\n", "labels": "cared for", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-be8a27504ab646f48d3e6017604571bd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX renders PersonY every ___. Intent: 1) to continue his names importance. XEmotion: 1) like they'll be remembered 2) self-important\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9c4df02a79dc4495af744cdf988ffa84"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX meets everyone 's ___. Intent: 1) to get a clearer look. XEmotion: 1) informed\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eeda4ed4c2024b5b992d02fcba692ec5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX packs PersonY's car. Intent:. XEmotion: 1) entertained\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-96fee215fe1c4feea38704cd1d6c0cbc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX breaks every ___ in PersonY's body. Intent: 1) to satisfy hunger. XEmotion: 1) satisfied 2) smug\n", "labels": "crushed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fa7244bc6bb04eb9bad68322b33a0986"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls my parents. Intent: 1) the app 2) to play a game. XEmotion: 1) prepared 2) amused\n", "labels": "pleased", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4680426285014b58bd1cc01fad4a88fb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It takes place. Intent: 1) to leave the war. XEmotion: 1) glad to be out of the fight\n", "labels": "eventful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d2f25fdfd3d45f7aed502071bfd1f10"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is a huge success. Intent: 1) to not show emotion. 2) to remain calm.. XEmotion: 1) unexpressive. 2) unhappy. 3) in a shell\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-35601c95e11d49f4b219f52388e330b3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY's lunch. Intent: 1) to capture the event. 2) commemorate.. XEmotion: 1) happy. 2) productive.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-75642e2d31b34a5594c77338c00c5e4d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches students the ___. Intent:. XEmotion: 1) happy 2) excited\n", "labels": "educated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-26385355c6c5459a9b9e4246dad9f1c8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX flips a coin. Intent:. XEmotion: 1) her purse\n", "labels": "decided", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-79618eafa64d4451b7b5358072840743"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ out on a date. Intent: 1) to be around person. XEmotion: 1) excited\n", "labels": "good someone likes them", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f8ce943c6b104f45a1824da822413341"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes excuses. Intent: 1) to go home 2) transportation 3) to leave the area he or she was in. XEmotion: 1) grateful 2) relieved 3) safe\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-28486f2ca31540f7813848c93788efb8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fights for PersonY's life. Intent: 1) their attention. XEmotion: 1) curious\n", "labels": "cared for", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-83d846a6389244cc9cba665b4acf5132"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX says something to PersonY. Intent: 1) to visit a friend. XEmotion: 1) welcomed\n", "labels": "included in the conversation", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1f0d6130e2b04ddfae7b1beb8cbaa7d4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX invites all of PersonY's friends. Intent: 1) to help me. XEmotion: 1) helpful 2) good\n", "labels": "are happy that they were invited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6036c7c16e154491ae227b22f2feae2e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX turns away from PersonY. Intent:. XEmotion: 1) very  happy\n", "labels": "rejected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8568ee69b397467b8e1d9f7616fcb8b9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sells PersonY's land. Intent: 1) children to learn. XEmotion: 1) helpful\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-57b4ba87c5c446a8a1e874de126ba169"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX throws PersonY a party. Intent: 1) to be similar to y. XEmotion: 1) he is achieving something\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3fc6e356fbd54c9bb81ac52e147f540d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts yelling. Intent: 1) to hurt me. XEmotion: 1) angry 2) satisfied 3) very mean\n", "labels": "ashamed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-285934cee0c945958baf5df6a70d53bd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows PersonX's power. Intent:. XEmotion: 1) gross\n", "labels": "controlled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e69b470d64b147f0aba3b4be515cb6ce"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonX's aunt. Intent: 1) to unwind. XEmotion: 1) relaxed\n", "labels": "sociable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-149f5f13eb644b11b928db82bbd644d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys gifts. Intent:. XEmotion: 1) very ashamed about it\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e6a6c513f7be4077b63e687d6aa3580b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sets fire to PersonY. Intent: 1) to help person sit indian-style. XEmotion: 1) happy to help.\n", "labels": "comfortable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-13e80faa22b74e29a6b23ce1420bcbe3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX serves PersonY purpose. Intent: 1) to get money. 2) to get something difficult to find.. XEmotion: 1) satisfied 2) happy\n", "labels": "achived", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b4737fb9b91f4dba878209da0178bd81"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lands on PersonY's hand. Intent: 1) to know what's going on in person's mind. XEmotion: 1) observative\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-790d7a5c75ce45889bdb9290fbdde613"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX reaches PersonY's hand out. Intent: 1) to have sex.. XEmotion: 1) very positive\n", "labels": "how soft the kittens fur is", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-40b14b5d3e5d4394acda3a7f09b3a778"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stands PersonY in stead. Intent: 1) to figure out something. XEmotion: 1) informed\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0cf32cf847674c43a69bb4ff7ffcc66c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX turns PersonY around. Intent: 1) to impress persony. XEmotion: 1) artistic\n", "labels": "informed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0f0ccadb5c344a279b7d97e5af5ec8b2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX joins a gang. Intent: 1) to have friend with him. XEmotion: 1) happy\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b692b85f5eb1492a928368d4e57d6cc4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX dries PersonY's eyes. Intent:. XEmotion: 1) sorry\n", "labels": "grateful for his comfort.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5ac9223932944359a417680165215d29"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX offer ___ to the gods. Intent:. XEmotion: 1) sad\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3a1a71829d204c4082b83262bb7e42dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes ___ on mturk. Intent:. XEmotion: 1) conpitant\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ea9340036e954d9fb1b381bbfe336c7b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has enough time. Intent: 1) to make person x happy. XEmotion: 1) satisfied\n", "labels": "their family members felt happy too", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c636286077f24c8e89913d019d8b22a8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX presses PersonY's fingers. Intent: 1) to eat food.. XEmotion: 1) satiated.\n", "labels": "hurt and confused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e19b9ac52db04cccbe997c4324745233"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pays PersonY's bill. Intent:. XEmotion: 1) disappointed\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-230a5d7b211a49cf9451815f8553f802"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX smells a rat. Intent: 1) to help. XEmotion: 1) helpful\n", "labels": "suspected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-35829141244345ed982ce3dbab289da1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kills PersonY's husband. Intent: 1) to surprise somone. XEmotion: 1) love 2) affection\n", "labels": "inconsolable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a4cf6d76d12347499822114cf124ab93"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY's dream come true. Intent:. XEmotion: 1) depressed 2) anxious\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-43ccc49cda9e474e86854ce1540e610f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY examination. Intent: 1) to show their displeasure 2) to express their anger 3) to waste food. XEmotion: 1) relieved 2) ashamed\n", "labels": "scared to be caught.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-11701189b27b4a6eaf3e50beb28bfa14"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY some questions. Intent: 1) to be cooperative 2) to enjoy time with another. XEmotion: 1) friendly 2) productive\n", "labels": "ok", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-43a6ab7c11734871baaf3c8fb87ff89f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX presents PersonX's views. Intent:. XEmotion: 1) in need of it\n", "labels": "uncertain", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e48c92808e5b4dd28052f5f117339d82"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wants to buy it. Intent: 1) to protect their own 2) to help. XEmotion: 1) heroic 2) good about themselves 3) scared\n", "labels": "like they can make a sale", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0241c8cff7ee41c0ad4e7cd2c841bc11"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drives along. Intent: 1) to settle their nerves. XEmotion: 1) more relaxed\n", "labels": "happy to see their friend", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-deed3a23c14542c6bb1a7c67830ddf7b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pulls the ___ away. Intent: 1) to have fun. XEmotion: 1) good\n", "labels": "disappointed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-55ec3088067f4a18807d14b9cf854350"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX delegates ___ to others. Intent:. XEmotion: 1) like the outside temperature is lower than his comfort zone\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-91565005d10a4c1a8997fb837dd60c85"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins PersonY's heart. Intent:. XEmotion: 1) scared\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8b0ee49481284d09ab12299f24044c49"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX impresses people. Intent: 1) to store something. XEmotion: 1) sneaky\n", "labels": "in awe", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-77ee957068eb49e4bebd75718efe4f1b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fees the cat. Intent: 1) persony to grow to be a good person.. XEmotion: 1) good.\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8a9096ae67f04fddbd3d05918de771e5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX blinks PersonY's eyes. Intent: 1) to be in a different room.. XEmotion: 1) accomplished.\n", "labels": "in the know", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7edcf182619a4c889b9639d9dd6b202e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a hearing. Intent: 1) a companion in person 2) to help person 3) to feel good. XEmotion: 1) good 2) happy 3) helpful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d47bf3d94c2d46c1b0ec9c29d8f9f3c8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX returns to PersonX's state. Intent: 1) to be of assistance to another individual or individuals. XEmotion: 1) better about themselves\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9135cae2bc3d450fae753eba86262d46"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX thanks PersonX's mom. Intent: 1) to be funny. XEmotion: 1) satisfied\n", "labels": "appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-44a55895cbb646149c64814516e8efad"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes up the cudgel for ___. Intent: 1) to eat steak 2) to kill their hunger. XEmotion: 1) full 2) accomplished\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-efa76288d64742e8bd85a82e4975d71b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fails PersonY's test. Intent: 1) to be helpful. XEmotion: 1) relieved\n", "labels": "disappointed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bff31945214a4a1a9d39172aa4e2dcfb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kisses PersonY goodbye. Intent: 1) have credentials. XEmotion: 1) smart\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4cb1cdfee2d1435896200ffbb510d4c7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves a ___ behind. Intent: 1) to make money 2) to get rid of something. XEmotion: 1) relieved 2) happy 3) satisfied\n", "labels": "mad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8360a19e5d61423cb057571072f41260"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX purchases the bike. Intent: 1) hide. XEmotion: 1) shy secretive\n", "labels": "also happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-40e7155fbffb4e878ca5e6169de63ed5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is on the basketball team. Intent: 1) find someone. XEmotion: 1) concerned\n", "labels": "admiring", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6a2ba32b47a14f47a80a09e17bdd52db"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX greets PersonY with a smile. Intent: 1) to make money.. XEmotion: 1) workmanlike.\n", "labels": "welcomed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1bb21edf23df4cae9fed4a37fa4e29ec"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX determines PersonY's value. Intent: 1) to improve their life 2) prove themselves to others. XEmotion: 1) proud 2) confident\n", "labels": "angry and abandoned for not having value", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3b04905208c14faaaed993578068e8c9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX holds PersonY's arm. Intent: 1) a drink 2) to eat something. XEmotion: 1) full 2) satisfied\n", "labels": "happy holding some one", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b09cf94db34b4e75a4b72cae88499dca"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonX's mom. Intent: 1) to listen to what persony has to say 2) to show respect to persony. XEmotion: 1) openminded 2) closer to persony\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-48fda2952847480d89415692f418aa63"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX can not find a job. Intent: 1) something to get done. XEmotion: 1) exhausted 2) mad 3) responsible\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3193490dfc6943da8e09fea41e002d01"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees the baby. Intent: 1) to drink whiskey. XEmotion: 1) depressed\n", "labels": "also happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bcd8ecd49c714e8c8a2ea465f114fb41"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX prevents ___ from reaching. Intent: 1) to have as much as they can. XEmotion: 1) indulged\n", "labels": "acknowledge & recognize person xs responsible behavior.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c6659860c9ed4394a2335e2921c79714"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX cares for PersonX's children. Intent: 1) to control the people 2) to hold power. XEmotion: 1) powerful 2) listened to\n", "labels": "love", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b7f38833abce4c5896669320dfb13444"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX offer another ___. Intent:. XEmotion: 1) curious 2) surprised\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1b813315d22940f5830bbfbfe0917b87"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX feels good about PersonY's decision. Intent: 1) to make money. XEmotion: 1) better\n", "labels": "thankful for personxs support", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-460394d352ee4f7090eb74c777daa317"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets flowers. Intent: 1) to be the boss. XEmotion: 1) powerful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6d95b32f881a48c984c9f9287e2670ab"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX writes home about ___. Intent:. XEmotion: 1) powerful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-99f8450209aa4d3896dbfb111eb4e1a2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to move to PersonY. Intent: 1) to cure. XEmotion: 1) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c776577fe07344299049e814996c7c5f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts PersonY's lights out. Intent: 1) to have something different. XEmotion: 1) relieved 2) familiar\n", "labels": "supported", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8c1f7b1ea0514698b6f84304a5aa8f0c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX describes another ___. Intent: 1) be engaged. XEmotion: 1) bored\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6b0af37ba5744373b01d5a0c81794e2e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is self conscious. Intent: 1) the other work. XEmotion: 1) done work\n", "labels": "sorry for person x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a53b04d61bd24568a0418c4a6352d416"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX says things to PersonY. Intent:. XEmotion: 1) sunburned\n", "labels": "like a good listener", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-692e8f2651d54fafa3d4bc5b49e08afd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY advice. Intent: 1) to be productive 2) to get the job done. XEmotion: 1) productive 2) accomplished 3) responsible\n", "labels": "learned", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2567988c7d8745d992b2cebc3c6e2794"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays chess. Intent: 1) to spend time with people. XEmotion: 1) happy\n", "labels": "determined", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1660996d159f4cc1ad38c232b0286061"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX surprises PersonX's family. Intent: 1) to have a name.. XEmotion: 1) happy.\n", "labels": "surprised and feeling happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-084032da6968433f950376a1347d713f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX commits to PersonY's charge. Intent: 1) transportation. XEmotion: 1) happy 2) proud\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ca4c7cc283d54e7caca93b0451df88bf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays a role in the development. Intent: 1) to block out the bright lights in his eyes. XEmotion: 1) more comfortable\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-47f2ffddbf3e4c60a6a686f55ba5663c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves behind PersonY. Intent:. XEmotion: 1) anxious and in terror.\n", "labels": "awful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fc882576ccae4d46a42d9c1a534c8569"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX connects ___ together. Intent: 1) in my life goal is very important. XEmotion: 1) happy\n", "labels": "happy to have a dedicated worker", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ec756bd3e58445f2b554604c2ca27a2c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks ___ for some help. Intent: 1) to help person. XEmotion: 1) happy to be of help\n", "labels": "good about themselves", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e23e5bbd4e724ba89a7b9a39d2fc04b0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX dresses in PersonX's clothes. Intent: 1) to make money doing what he likes. XEmotion: 1) happy\n", "labels": "nothing.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8fa7583bce2d44b6b6980b4c54a1a5f6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX walks around town. Intent: 1) driver. XEmotion: 1) curiosity\n", "labels": "social", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a2f87e7dddc94199b50660dd7b0e330e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX occupies PersonY's time. Intent: 1) to fill their stomach. XEmotion: 1) satisfied\n", "labels": "closer to personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9802a33c9d2f4bb18313e99a1ab159cd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX evens gave ___. Intent: 1) to die. XEmotion: 1) nan\n", "labels": "great", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e1e018c8da7f4315867ba8e5f5cfbc83"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX dates for a year. Intent: 1) to take ballet lessons.. XEmotion: 1) like taking ballet lesssons.\n", "labels": "hopefully paired off with ist person", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8d8a67c875534c0a9abd53e720152ee3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX thanks the ___ for allowing. Intent: 1) to see if they have a fever. XEmotion: 1) sick\n", "labels": "helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-83cb0ffeda0348dd8f63a58cf1844475"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonX's brother. Intent: 1) to be by himself. XEmotion: 1) good.\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-95dc5791c022417eb1d4e454383584c9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY my number. Intent: 1) to solve the crime. XEmotion: 1) that justice has been done\n", "labels": "more knowledgable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2d96d6b490904fbb8048345f23ddc249"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX ensures PersonX's safety. Intent: 1) to confess. XEmotion: 1) less guilty\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4a5c0b04e5c45f8b3e92bf900217679"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ access. Intent: 1) to find person. XEmotion: 1) worried 2) concerned\n", "labels": "either good or bad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-51eb36e5803448d7b100f0d7547621f0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It goes too far. Intent: 1) to be liked.. XEmotion: 1) used 2) because he had to kiss up\n", "labels": "nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-55400581e6214d67b6b9a18bfd4795b9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts PersonY's ___ to work. Intent: 1) to make a contact with person 2) to make friendship. XEmotion: 1) good 2) fulfill 3) satisfied\n", "labels": "happy about their participants", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7277ad8a8d704a1792bd6307679f4dbf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX accidentally hit. Intent: 1) to realise 2) to do something 3) to be a positive. XEmotion: 1) feel good 2) happy 3) enjoying\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-817ef18b7a0a42f79cd2c49562f45f30"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX judges every ___ according. Intent: 1) build y's character. XEmotion: 1) helpful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e1c5027690b7456ca96026527ac74645"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It means a lot. Intent: 1) to give her a birthday gift.. XEmotion: 1) good.\n", "labels": "sentimental", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-33fb03538e8848fda3e51c59cfde97af"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX builds a fence. Intent: 1) to be of service. XEmotion: 1) contributory\n", "labels": "left out", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e7ff2ff1eb47404a82099a8f1602fd9f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY would like. Intent: 1) to change the direction. XEmotion: 1) in charge\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e77647211b604965917864d3e2593e14"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves every ___. Intent: 1) to confide. XEmotion: 1) trustworthy\n", "labels": "abandoned", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-802f22cac835495caf04244e7f32b26d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls ___ at home. Intent: 1) a nice story about person y. XEmotion: 1) feels good about the interaction\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ce8f96ba97b34ac19c3f1945a0dbb069"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fights PersonX's way out. Intent: 1) to buy something. XEmotion: 1) satisfied\n", "labels": "concerned", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8c59e2abc26c47299f5d77004038447d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fixes things. Intent:. XEmotion: 1) well rested\n", "labels": "satisfied.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d5dd63ec49c443bcabffb51212ca05d2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX bears the ___ longer. Intent: 1) to refrain from speaking. XEmotion: 1) satisfied\n", "labels": "surprised.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-131bff594d5d4fa5b2d2f0193e752ccf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY opportunity. Intent: 1) to pet their dog. XEmotion: 1) happy\n", "labels": "unappreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d76b7f09e8bb4247ba46f2c37cf970be"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps losing. Intent: 1) to be heard. XEmotion: 1) heard\n", "labels": "smug", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9ce71a5ada1044a4982ff9c74d67b276"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX agrees to go. Intent: 1) to be in control. XEmotion: 1) irritated\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3ac92e33216641db826fdd4a24c1d85c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY PersonX's attention. Intent: 1) to be a good friend. XEmotion: 1) loving 2) caring\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5196127c14b045f58b391e28d1093d74"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX changes PersonX's hair color. Intent: 1) job has been very confidented. XEmotion: 1) very effectively\n", "labels": "stylish", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ca689d1220ef41a6afac2737d914c08d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks ___ for a recommendation. Intent: 1) persony to be comfortable.. XEmotion: 1) hospitable.\n", "labels": "like there knowledge is helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-61b662139411427a824228552714cdb4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts PersonX's hair. Intent: 1) x loves children 2) to have offspring and raise them. XEmotion: 1) grateful 2) satisfied 3) happy\n", "labels": "admiring", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-853692eccc524bdb8da5a9c64d1d954c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX moves into a new apartment. Intent: 1) make happy. XEmotion: 1) happy\n", "labels": "happy also", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3a762ad767c44ed093ed8d2b588a152f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps PersonY in PersonZ way. Intent: 1) to resolve a situation quickly. XEmotion: 1) happy 2) satisfied 3) relieved\n", "labels": "pleasure", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7e51823420344727beda48d808496f98"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives chase. Intent: 1) to defend a certain point of view 2) to agree with someone elses opinion. XEmotion: 1) righteous 2) validated 3) superior\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eca401e8bc9b41bab743b2613629ebf8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps PersonY study. Intent: 1) assistance. XEmotion: 1) relieved\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5e764055369947998f0dd92941f40073"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX declares PersonX's ___ to become. Intent: 1) cause harm. XEmotion: 1) powerful\n", "labels": "interested", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d3237919a554144b699d875f8c680e6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX obtains PersonY's release. Intent: 1) to meet this person.. XEmotion: 1) satisfied and excited.\n", "labels": "free", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2e9ae0bbf56b4369a95f9d1d2198ba0d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY to call. Intent: 1) to eat ice cream for dessert. XEmotion: 1) guilty for cheating on her diet\n", "labels": "friendly", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d258f69210434ac19180c7d82a33fa98"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes to PersonX's senses. Intent: 1) to be curt 2) to be concise. XEmotion: 1) neutral\n", "labels": "pleased", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9b4bd7ca6bc2450c937236a71f738618"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays games on it. Intent: 1) to have person's possessions. XEmotion: 1) greedy\n", "labels": "very joy ", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62ca286eb393438ab4a11a7e2f95f981"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX passes the ball. Intent: 1) to do something. XEmotion: 1) happy\n", "labels": "engaged with his son", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f4c39cc2a95242d59079954277b3dc50"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings back ___. Intent: 1) to help the daughter and persony. XEmotion: 1) satisfied.\n", "labels": "joy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e94d81ab818e4e81b91987caee034b6c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX applies to many jobs. Intent:. XEmotion: 1) anxious to buy art work\n", "labels": "interested", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-945b51a8c9774cc887e1f4c838543285"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has PersonX's way. Intent: 1) delicious food. XEmotion: 1) full\n", "labels": "irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b9aa032a6f0f4c0880a3debf9ccf7a1a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hangs out with PersonY's friends. Intent: 1) to save his things. XEmotion: 1) both are happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f88a0a1bc58e48d5a5bd53acc832e0d7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stays another ___. Intent: 1) to be the first to throw. XEmotion: 1) relieved\n", "labels": "happy they also get to spend more time with personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e19e78cceeef4b57ad2748fe48e45967"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts to date. Intent: 1) to look good 2) to look different 3) a change. XEmotion: 1) good about themselves 2) confident\n", "labels": "happy to spend time with person x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2cb7b958cfb54dd9a2234b13d31fce6c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX walks humbly with PersonX's god. Intent: 1) to celebrate. XEmotion: 1) festive 2) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7c52f0e41b104d7d879df6e56bd51df8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX does whatever PersonY wanted. Intent: 1) increase money for uses. XEmotion: 1) happy 2) better\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d1fbf02fe88c4b52bc63d11824593e58"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends PersonX's ___ to die. Intent: 1) to make noise 2) to alert others 3) to express their emotions. XEmotion: 1) tired of yelling 2) like yelling even more 3) like running away too\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c0b2caa3b7fa4f3488973de97c8045f7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX spends ___ with PersonY's children. Intent: 1) to do it their own way. XEmotion: 1) frustrated\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-be8eda7768fa466baeb9132bc72a6969"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives the man. Intent: 1) to get there on time. XEmotion: 1) determined 2) anxious\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-63842d49c11641eeb51b7cdb2032cdac"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits friends. Intent: 1) to have friends. XEmotion: 1) accepted\n", "labels": "like they saw a friend", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ba66797e53ba43a0bc1f62fc2abe025c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leans towards PersonY. Intent: 1) to read 2) to study new things. XEmotion: 1) curious. 2) studious.\n", "labels": "intrigued", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cecdc63c841b497fa31c3db93426691d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX slips PersonY's arm. Intent: 1) to see them. XEmotion: 1) positive\n", "labels": "annoyed and sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e53c69c34eb141e38be715874af1d48f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds ___ together. Intent: 1) to distant to everyone. XEmotion: 1) sad\n", "labels": "embarrassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ae4b0119fcaf4d92b2ba393e81fd58f9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shares PersonY's love. Intent: 1) keep others safe. XEmotion: 1) important 2) secure 3) unlikely to be harmed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-05ad35ad0f0d4c3aa1f84eb3c36e42c1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX protects ___ from harm. Intent: 1) to win a prize. XEmotion: 1) excited\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a6e43ddffeec4005a5a3cb6420c211b7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX offer PersonY a position. Intent: 1) to have fun.. XEmotion: 1) glad.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30e9b9b2ea144759b23803f20808d5fe"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives a speech. Intent: 1) to play a game. XEmotion: 1) excited 2) amused\n", "labels": "enlightened", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4d98628ebeb24ea99457b71d55634000"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes sense to PersonY. Intent: 1) to capture memories of being with person. XEmotion: 1) happy that they are with person\n", "labels": "happy because x make sense", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d4d8719100364db7b9573e04c553dc94"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX educates PersonY's children. Intent: 1) satisfied. XEmotion: 1) happy\n", "labels": "smarter", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1a0f4362dc664c0eb1c38b26c3029862"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finishes in time. Intent: 1) to have dessert. XEmotion: 1) accomplished\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a9cc3a1219d1496a969c8a2b56c4377a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX introduces a ___ further to amend. Intent:. XEmotion: 1) private\n", "labels": "reconciliatory", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b458452c50c446ebad5d39306edfcf4d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY's girlfriend. Intent: 1) companionship. XEmotion: 1) relieved\n", "labels": "betrayed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b120b568473d477b919e43376c71dd65"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY decision. Intent: 1) to have some relaxation time. XEmotion: 1) relaxed 2) pleased\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bf70e89c38324396a380676dca773baa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX frightens PersonY away. Intent: 1) to have the newest things. XEmotion: 1) happy with what he bought\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b98c94f2bb06459c8c7f1d416fdf7342"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps an eye open. Intent: 1) help her. XEmotion: 1) worried 2) concerned\n", "labels": "watched", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-78f3d4d6ed6d4d4382aa77c5af6af29b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves PersonX's ___ behind PersonY. Intent: 1) to be occurs. XEmotion: 1) happy\n", "labels": "in control", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-801ece3b0c8f4ef684e62591c050afd1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's teacher. Intent: 1) to be entertained. XEmotion: 1) entertained\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8a572a04c95040dca25783ffc0550116"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX widens PersonY's eyes. Intent: 1) to give them privacy. XEmotion: 1) satisfied\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4142096271284ea4839ca0354898422c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives people. Intent: 1) to be content. XEmotion: 1) content\n", "labels": "led", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c4e11aad637649c1a91fd61e06f24d25"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets a tutor. Intent: 1) to get their dog to behave 2) to teach a trick. XEmotion: 1) satisfied\n", "labels": "helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4007873cb35141d0891e1ab2559a62a9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX meets PersonY's date. Intent:. XEmotion: 1) interested\n", "labels": "insulted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3b8a89037e674624b3cd71c9979bf1b0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX points fingers. Intent: 1) to be fair. XEmotion: 1) educated\n", "labels": "punished", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b89440f137d74130b36f80310d1a05b4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX serves one 's ___. Intent: 1) to provide very big productions. XEmotion: 1) happy 2)suprised\n", "labels": "looked after", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9f925af3a9b4406d93845a44606b2459"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loves PersonX's dad. Intent:. XEmotion: 1) like they found it too\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a52c32dac1a46d18a1a30a3e481c775"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows PersonY around. Intent:. XEmotion: 1) shocked 2) sad\n", "labels": "happy too", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c91e7bed2dcc4e70a1edd910cf268632"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pricks up PersonY's ears. Intent: 1) they like the vehicle.. XEmotion: 1) wanting 2) jealous\n", "labels": "mad at hearing gossip", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5c348890c7e046a7b5627cb30f115fb0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX changes PersonY mind. Intent: 1) to be polite. XEmotion: 1) cautious\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d6aab31e83c40febda9ee83a65f4df2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays basketball at the park. Intent: 1) to understand persony's father 2) to relate to persony's father. XEmotion: 1) understood\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5af393c0d0a54bf29bca611d36086710"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes silk. Intent: 1) to finish something 2) to get back to something else. XEmotion: 1) tired 2) accomplished 3) finished\n", "labels": "counseled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4815020e0b5b489c9a5797ee6fdfedf8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX moves away from home. Intent: 1) to date him. XEmotion: 1) pleased\n", "labels": "lonesome", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e92c361c1a964c2ab24e7b9fb1c6b164"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY to go home. Intent:. XEmotion: 1) refreshed and relaxed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-86fbef1421fa48db8233b2aa1faed340"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY started. Intent: 1) statue. XEmotion: 1) pleasure\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ee0e74e458354e07ac96c515af5471de"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lets PersonY see. Intent:. XEmotion: 1) great\n", "labels": "obliged", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0f8e2ce8c4e6436f88a37f4e9491e334"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rubs PersonY back. Intent: 1) to check his/her eyes. XEmotion: 1) relieved 2) worried\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8808960cab374027a20c89fdeb072b6a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins the costume contest. Intent: 1) to be protective. XEmotion: 1) glad\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-75ede5db0be643558f82f20e095c7d38"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loves to garden. Intent: 1) to feel entertained. XEmotion: 1) frightened 2) happy 3) satisfied\n", "labels": "like they have something nice to look at", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-77d272f35c884805a89ee322fe88b85e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It snows all night. Intent: 1) to send flowers. XEmotion: 1) content\n", "labels": "cold", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e9b5c2000849445f89cd77328e1b7a87"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is the center of attention. Intent: 1) to help y. XEmotion: 1) supportive\n", "labels": "entertained", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2670860e883c4c47bbc738e63600e9d7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tilts PersonY's head back. Intent: 1) to leave the space. XEmotion: 1) more free\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-062b54572e7e4a338a5f1e06014ada47"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX describes the ___ in detail. Intent: 1) to become bold. XEmotion: 1) good\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b0ba381d7dce4f40841d6baab41b5dff"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps ___ with PersonY's problems. Intent: 1) to be evil. XEmotion: 1) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-70d5da9cfb0d472490ca92057463c404"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings PersonY in contact. Intent: 1) to be helpful.. XEmotion: 1) helpful.\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4ada5e56eb547f89dd45d661f1dc69f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX waits upon hand and foot. Intent:. XEmotion: 1) worn out.\n", "labels": "good for having a job", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d3c1eed033cb4a1c9fcd543b5a1ac41e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives the reader PersonY ___. Intent: 1) to not cause a fuss. XEmotion: 1) hopeful\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5293d8b8e85347eebe83dc537fb5a8e2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX learns to walk. Intent: 1) to enjoy the moment.. XEmotion: 1) happy. 2) content.\n", "labels": "joyous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-941d1dc4fecd4a0eb7d4d556b76b5127"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX protects ___ from the effects. Intent: 1) to make person y lose the match. XEmotion: 1) hopefully\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-db5cd3c99a63462da301f9fb3dbb9f06"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shapes PersonY's lives. Intent: 1) have children 2) raise kids. XEmotion: 1) blessed 2) busy\n", "labels": "happy to have met personx.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6ecbe8c89eff4fe4a25a8bf643769102"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX argues with PersonY's boyfriend. Intent: 1) to help themself. XEmotion: 1) happy\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cad2aba4daf5463593b69201d1ebd882"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is hot and humid. Intent: 1) to play with her dog. XEmotion: 1) hopeful\n", "labels": "sad and gloomy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ee9f611b6e0f424aac706190f9621b00"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX invites PersonY along. Intent: 1) to do gardening. XEmotion: 1) happy\n", "labels": "helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b25023c4a39642e4a83388e4e5addd3d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tries to win. Intent: 1) move the door 2) deal with how fast in moved 3) happy to see someone on the otherside. XEmotion: 1) shocked and happy\n", "labels": "worried", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-05ea75d396384ec7a9031647bb870ed4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX returns to college. Intent: 1) money. XEmotion: 1) indifferent\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-897a1ff468dd4937a41cf831e3973e85"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonY's home. Intent: 1) to stay alive 2) to avoid danger. XEmotion: 1) relieved to be alive 2) frightened\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b83c06f3ae2a44d2bd092e8ee1e92f1a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX watches a movie together. Intent: 1) math. XEmotion: 1) exciting\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ac6a80537ede4786a9f7bcefb27b1efe"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes as well. Intent:. XEmotion:\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-006e1b68fd65408591852e4495170f32"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sets a ___ at variance. Intent: 1) to go another way.. XEmotion: 1) redirected.\n", "labels": "special", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7ea9c4d66235465eb6f2f5f307e30d1f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX likes PersonY a lot. Intent: 1) new job. XEmotion: 1) happy re leaved\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0b4099b117d54f8789263bfd11e9b0ce"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY's mother ___. Intent: 1) to joke around and have fun. XEmotion: 1) jovial 2) happy\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cb5cebdac04440e084470529ea2536f1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts the moves on ___. Intent:. XEmotion:\n", "labels": "charmed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-632dbb0f103945268236e9812833dfb0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY to the circus. Intent:. XEmotion: 1) annoyed\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-460bc857d74f4c5b9e995a41c709d49c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY's anger. Intent:. XEmotion: 1) guilty 2) horrible\n", "labels": "tired of being angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5a768f1ec6e14156b88a5264abe6295d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts PersonZ's ___ around PersonY. Intent: 1) to get a good grade about  persony. XEmotion: 1) satisfy and glad\n", "labels": "helpful and friendly", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f9fd7938f6854f6692b77ec0e01bad1a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps PersonY's plant. Intent: 1) heard 2) justice 3) freedom to express. XEmotion: 1) confident 2) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8ca54e38df4c45e082cb521478058123"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX punches below PersonX's weight. Intent:. XEmotion: 1) relieved 2) happy 3) better than others\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-02e86a874b46450194b167dbb372d0f0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY the gift. Intent:. XEmotion: 1) sad 2) worried 3) down\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dd8223c2b327467d898848fbff8c118f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drops PersonY's arms. Intent:. XEmotion: 1) confident 2) powerful\n", "labels": "alone", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c844c194921849e38f7aba14f606bce1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX ties ___ together. Intent: 1) be duty-conscious 2) to honour his guests. XEmotion: 1) happy\n", "labels": "happy to have x care so much", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e8cd6bbb99a1461fa3f36c72825e5a59"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a welcome. Intent: 1) to make money. XEmotion: 1) responsible\n", "labels": "pleased", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c198bd599f414872a06d18da568b5a52"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is at the bar with friends. Intent: 1) to help personx because they can't shave it themselves. XEmotion: 1) accomplished\n", "labels": "rowdy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fd18486fd6a244fd8ac6d22f7a682a7f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ to target. Intent:. XEmotion: 1) uncomfortable\n", "labels": "pleased", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-20f5b7b1f8cf4b078d8a612c7a3105aa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX acts as PersonY intermediary. Intent: 1) to explore canada 2) to travel. XEmotion: 1) excited 2) adventurous\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a899272471e04076941a9c3d1bdc13fd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lands on my head. Intent: 1) wants to take a friend to the mall. XEmotion: 1) happy 2) fulfilled 3) joyous\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5cb7bb75a2b44ab382c9c918e22aba6d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX persuades ___ to support. Intent: 1) a stable situation 2) to make a repair. XEmotion: 1) proud 2) accomplished\n", "labels": "because  he went after change he help his community so they are happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-08638611f022429baef433f598171116"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It does n't want to go to school. Intent:. XEmotion:\n", "labels": "disgruntled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2c133d77801c46ec9b090d2e821bd088"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX camps with PersonX's family. Intent: 1) to be social. XEmotion: 1) happy\n", "labels": "happy thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-21c1c8b550204a7c91d7455d8e147aaa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX smells so good. Intent:. XEmotion: 1) relieved\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7451278f39ea427e8ab09a9ce1d67a91"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kisses PersonY's hands. Intent: 1) to improve their dancing skills. XEmotion: 1) accomplished\n", "labels": "grateful to receive his warmth.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-960caf9a2b8346a9b3cd0428981806be"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX spends more time with PersonY. Intent: 1) to know what's inside. XEmotion: 1) anxious to know what's in it 2) excited\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2be4e7ed347d48728e7f702a8c4f7d97"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX releases PersonY's hand. Intent:. XEmotion: 1) hopeful 2) positive\n", "labels": "a little sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-96f2ab20a3ab465e922af3056d574397"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX turns PersonY's head away. Intent: 1) to go home 2) is tired 3) to rest. XEmotion: 1) relieved 2) happy 3) relaxed\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4a7112c7a7a649419a5810e7c73ca2df"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX opens PersonY's gift. Intent: 1) to be a part of everything. XEmotion: 1) included\n", "labels": "generous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bfcb91d123a84b5b8a55ff2a49672f6e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tries to get PersonY's attention. Intent: 1) to look upon person for some reason. XEmotion: 1) calm and happy towards the person\n", "labels": "silly", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-99b39618b39448458e617dd154a276a3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX surprises PersonX's boyfriend. Intent: 1) to support himself. XEmotion: 1) safe\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-893f0483bc47466188e86a4d63329635"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX includes ___ well. Intent:. XEmotion: 1) disappointed 2) overwhelmed 3) sad\n", "labels": "well informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ad5b1efdc5a04e5ba3a55df701fabd91"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes spaghetti for dinner. Intent: 1) to feed persony. XEmotion: 1) helpful 2) kind\n", "labels": "loved.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f1124e1bb9734bf19ac12dc6e5abf881"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets cut. Intent: 1) to find them and open them. XEmotion: 1) excited 2) happy to find the eggs\n", "labels": "afraid they might catch a contagious disease from the blood.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a7df6fbd1d164a57b6ec7d38a6abf810"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX turns PersonY's face away. Intent: 1) whatever is inside 2) to let whatever is inside out. XEmotion: 1) excited 2) accomplished\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2defe98cc2e24326bb924e3a45aa7007"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY to the park. Intent: 1) to relax 2) to get a break. XEmotion: 1) refreshed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5cbffd68f07041489d7a4359ac82a693"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rushes toward PersonY. Intent: 1) to be free. XEmotion: 1) satisfied\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6d9894036137427992b0065e365342d7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX squeezes PersonY's hand. Intent:. XEmotion: 1) glad to have the derived property 2) burdened by the stress of the derived property\n", "labels": "warm", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-db27a8fbbd19430a8bb2b5d359bc351e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY air. Intent: 1) to shop from home.. XEmotion: 1) lazy\n", "labels": "better", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1c4e83d34edc4c69b4ab60a4cb9602bf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes the computer. Intent: 1) to get class. XEmotion: 1) rushed\n", "labels": "friendly", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8e06b85f1d8c4422b780d2dddf72ea94"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drops my phone. Intent: 1) to conquer the world.. XEmotion: 1) like a king\n", "labels": "unhappy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ed76af9b2cd3477aa0633cbc9e522232"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows it to PersonY's parents. Intent:. XEmotion: 1) like he better answer it\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e34a71b948e84eeb819b8c781c1fee22"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX treats PersonY well. Intent: 1) to enjoy his/her free time.... XEmotion: 1) feeling very happy even win or loss in the game...\n", "labels": "welcomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-437cb889c63a47c79e51b3646a2fe123"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX always bragged. Intent:. XEmotion: 1) very tired\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4db029c7beab4d238026faf7dc634974"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is going on a date. Intent:. XEmotion: 1) uncomfortable 2) agony 3) upset\n", "labels": "content", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9ca7e3de2e464cc09d3b07a08b419d35"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins every ___. Intent: 1) to be successful. XEmotion: 1) proud\n", "labels": "defeated.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-969b8e04f661416f8cec0461c59622a1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys PersonY's wife ___. Intent: 1) to inform 2) to get attention 3) to share. XEmotion: 1) happy 2) bored\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2a8a562ac4224a3f9d679a13957d39f0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX launches another ___. Intent: 1) to be checked out 2) to be healthy 3) to get help. XEmotion: 1) safe\n", "labels": "like a powerful force.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c8c4befd644e4e59896b49acad13869c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX submits ___ to arbitration. Intent:. XEmotion: 1) like they did their best.\n", "labels": "heard", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f00c907b3cab4fd4b0e27d66714e7ee2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX extends PersonY's ___ at the expense. Intent: 1) they need to leave. XEmotion: 1) complete\n", "labels": "power", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7a25009c76dc408b87cc81bc4c027648"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX seats beside PersonY. Intent:. XEmotion: 1) sad\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-33c45feebb0542bbab3d38596f408e73"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX cooks the books. Intent: 1) to watch something together. XEmotion: 1) grateful 2) sociable 3) entertained\n", "labels": "confused.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0dc70e690b33422b8ae4fd2c1139b5f1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes up the numbers. Intent:. XEmotion: 1) happy 2) excited\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d6f576741727467f8dc647dae4020035"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rings in PersonY's ears. Intent: 1) to appreciate something. XEmotion: 1) appreciative\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8eeb81940996468e89fca9db0db70bac"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY report. Intent: 1) reduce the voltage because they too scary. XEmotion: 1) unsafe 2)scary\n", "labels": "glad it got done", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b11bc5408e614925abc919297002c9ed"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ a special gift. Intent: 1) to spend time with the dog 2) do a good deed. XEmotion: 1) gracious\n", "labels": "surprised and good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-19903a80b3bb402693279d0b8d3b9df2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX covers PersonX's bases. Intent: 1) to communicate secretly. XEmotion: 1) sneaky\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ea04ff5996d842dda2f6146e2556b979"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to ask PersonY. Intent: 1) measurement. XEmotion: 1) calm\n", "labels": "also curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-117c112a794940a3b31952d54e787822"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls PersonY by the name. Intent: 1) to get some water. XEmotion: 1) pacified\n", "labels": "atttentive", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8dc9bd3fa18b466ba1c21fd0aacaaffd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kills ___ with stone. Intent: 1) to entertain. XEmotion: 1) humorous 2) interesting\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bd6d08444d2545b2bcaab3f8102701e3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY detention. Intent: 1) to service the car. XEmotion: 1) indifferent\n", "labels": "sad.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-027a812b61734c9f8b5f58fc33be02e4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is running late for school. Intent: 1) to be useful for other peoples life. XEmotion: 1) happy\n", "labels": "irritated and disappointed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b8ca863068fc4be089883ebeea0ca915"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps clean. Intent:. XEmotion:\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-86edf104d3bd42e4b89cc7498fe03fd5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds PersonX's ball. Intent: 1) to make a new friend. XEmotion: 1) glad to have a new friend\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-06e832197b504b9da6ce6da5193010fa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets right back. Intent: 1) to be generous 2) to be kind. XEmotion: 1) kind\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0034fbfca7a147c783cbd3c206f44ec0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY to dinner. Intent: 1) to spread knowledge. XEmotion: 1) like a messenger\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30cb2a0e8d0b4212afd3b1c23bd60ebb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets revenge. Intent:. XEmotion: 1) like they have someone who cares about them\n", "labels": "angry and hurt.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-08eeaba0069e41528d9fdb32b476430e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells stories. Intent: 1) to be it's required. XEmotion: 1) nervous\n", "labels": "intrigued", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-159d15316c9c4be689f9ee2f45378c97"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX smells terrible. Intent: 1) to share the cookie.. XEmotion: 1) good.\n", "labels": "disgusted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d0afac34adef43fa90cab7ff66f0e88e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX swirls PersonY's tongue. Intent: 1) to hide the truth from someone 2) to distract someone from something. XEmotion: 1) dishonest\n", "labels": "desirable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b967a26758e3447c9169f690b6bc407d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX earns a master 's ___. Intent:. XEmotion:\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1518451c5fb9436b8200aa95286ea6bb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX becomes PersonY member. Intent: 1) person y to agree. XEmotion: 1) hopeful\n", "labels": "sociable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-053b897c21c04695a923f60275670fad"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys a birthday cake. Intent: 1) to have a food. XEmotion: 1) satisfied\n", "labels": "celebrated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c4799f38a9724134b0c9cc42c1665dae"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes to the bar with PersonX's friends. Intent:. XEmotion: 1) relieved\n", "labels": "enjoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2c6f8b8b54b84d4aafdde89b3bd75803"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pisses in PersonY's cornflakes. Intent: 1) to be helpful 2) to be successful. XEmotion: 1) accomplished\n", "labels": "disgusted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a3d2264750b455497ae6225aa4b567a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls PersonY at work. Intent: 1) to make use of it. XEmotion: 1) satisfied\n", "labels": "needed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ec8f6c7871754ceb958557d1a53cd828"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX grins back at PersonY. Intent: 1) to be decisive. XEmotion: 1) determined\n", "labels": "happy and that they are being understood", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8ad6578c1b1a4643970e0577938a597e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fears PersonY attack. Intent: 1) to help someone 2) cares about someone 3) to protect someone. XEmotion: 1) protective 2) compassionate 3) strong\n", "labels": "anger", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c5e0a133c8d54d05aa6127b8cbeff1ca"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It takes effect. Intent: 1) to encourage. XEmotion: 1) happy\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-45c8d23e4739417298b2e2031e541a9f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells a joke. Intent: 1) to settle down. XEmotion: 1) satisfied\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7a1af5f957fb4c73a07a826d6ea9f93d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees a broadway show. Intent: 1) to release the recovered bird into the wild. XEmotion: 1) happy and relaxed\n", "labels": "also interested", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fbc8e099d8d4455ea4c83587c5f6c08a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has a birthday party. Intent: 1) to complete it. XEmotion: 1) achieved\n", "labels": "joy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-472dcf75028742bc8ce3c61e4dcd9650"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX saves PersonX's ___ from PersonX's sins. Intent: 1) to not get in trouble. XEmotion: 1) responsible 2) following the rules\n", "labels": "happy and excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6bb8c3166f4c4f82aa298bea68e34b64"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells tales. Intent: 1) to get somewhere. XEmotion: 1) accomplished\n", "labels": "entertained", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-10d46811de394e40aba9cf14d5376632"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY offering. Intent: 1) power 2) stability 3) movement. XEmotion: 1) strong\n", "labels": "important", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d9a6b1a3fa89403d845035d4f9c11e13"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonX's car repaired. Intent: 1) to ask them. XEmotion: 1) overwhelmed\n", "labels": "grateful for the help", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3cc1483697b44ed48cfbcfe3d1ebf77c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX performs PersonX's part. Intent: 1) to catch the thief. XEmotion: 1) excited\n", "labels": "taken care of", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-53833dc13c554b038957120e9a4d9e16"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY for help. Intent: 1) to (be). XEmotion: 1) nice\n", "labels": "happy that they could assist", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-63d4778dde514b22990a30931ef1d7cd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kills PersonY father. Intent: 1) to be productive.. XEmotion: 1) good.\n", "labels": "sorrow", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bd7177c82635451d90c7746281b1995f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sues the company. Intent: 1) to earn.. XEmotion: 1) glad for seeing the fruits of his labor.\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-092d3045bcb44b8cabea4a39e64fcb56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses PersonY's phone. Intent:. XEmotion: 1) intrigued about the advertisement\n", "labels": "mad they loaned a phone to x and its gone.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6af5ebd5ce7347df8b2d96e4d0710632"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tears PersonY's eyes. Intent: 1) to run for office. XEmotion: 1) determined 2) happy 3) energized\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-21781febf7314c80b483f9d23cba7deb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finishes PersonY's essay. Intent: 1) to follow the rules. XEmotion: 1) happy\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5dc6bbcf72de4652bb53fc5a6a6aa47f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leads PersonY down the garden path. Intent: 1) to be specific. XEmotion: 1) tensed\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-079d22df836c468c964c80b5a5dcf754"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It takes PersonY an hour. Intent:. XEmotion: 1) happy 2)enjoying\n", "labels": "anxiety", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-602753aef45b4cee88e2046f9de0032a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets the last laugh. Intent:. XEmotion:\n", "labels": "shown up", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f7e5c170da5746249f27c40cdd299021"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps people. Intent: 1) to protect person 2) to stop person from doing something. XEmotion: 1) relieved person is no longer in the situation 2) heroic\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-90c1afde304f4fb59a2c0ab07a25e321"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has a christmas party. Intent: 1) to be festive. XEmotion: 1) happy\n", "labels": "also happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-76041fde5fcc4827913fdb38ef43825f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps ___ up at night. Intent:. XEmotion: 1) unhappy because they are getting a divorce.\n", "labels": "like they really could use the sleep", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c230d3166fad45409c4f196f1a49c3c4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX avenges PersonY's death. Intent: 1) to succeed. XEmotion: 1) ambitious\n", "labels": "dead", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fac4b7e6dfb145729f8aeb954f9571b4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hits PersonY in the head. Intent:. XEmotion: 1) romantic\n", "labels": "sad and humiliated.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ff9a455113094a5eab7e37f5c1bd307f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX derives PersonY benefit. Intent:. XEmotion: 1) sickened\n", "labels": "sad and irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0069f9b8da0d4456ba2879c7dfc3c1b5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps ___ to PersonY's feet. Intent: 1) to finish the work. XEmotion: 1) pressurized\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a6f3396b35c44d8f802dbbb7325f878c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls ___ to complain. Intent: 1) will go home tomorrow. XEmotion: 1) happy to see their family\n", "labels": "attacked", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d6fbdd96bd644aaf988db444599e2135"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees PersonY every day. Intent: 1) to compete. XEmotion: 1) determined\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ce6b2f7608cb40059e057787b7552e04"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees PersonY for the time. Intent: 1) to learn. XEmotion: 1) confident\n", "labels": "appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0e2121bea92341dca7168382dc92ed8c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX forgets PersonY's umbrella. Intent: 1) to be outdoors. XEmotion: 1) relaxed 2) happy 3) content\n", "labels": "upset not happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-77ed94fddda1498f9dc503bf6d4b7678"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX thanks PersonY ___ for PersonX's encouragement. Intent: 1) drunk. XEmotion: 1) loopy 2) buzzed\n", "labels": "honoured", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-078ff1d2d73540a8a83ef5ffc950f87e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX attends the wedding. Intent:. XEmotion: 1) clumsy.\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-20c28052654e404e9410b6dd1cee6224"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX claws PersonY's way. Intent:. XEmotion: 1) strapped for cash.\n", "labels": "angry about xs actions", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3f0c12c290d34dcb961cf0678b97a21b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds the puppy. Intent: 1) to give person y a job. XEmotion: 1) generous\n", "labels": "appreciative", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0e30b4e37164471cb39273ba20bb67a3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is really excited. Intent: 1) to be happy. XEmotion: 1) very happy\n", "labels": "contributory", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30e965db094a4b2eaaa689bdcb29fc19"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY's life. Intent: 1) relaxation. XEmotion: 1) joy\n", "labels": "content", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7a81c2448e804495a7f490e663fe9487"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX impresses PersonX's new girlfriend. Intent: 1) to be understood 2) to be taken seriously. XEmotion: 1) upset 2) emotional\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2a5fa6e945a3481ab4b38cf6d1418c4f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees ___ behind PersonY. Intent:. XEmotion: 1) happy 2) shocked\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eb8b03e671294518844297cae9285113"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX says ___ to one. Intent: 1) to be fast 2) to explore 3) to be like nature. XEmotion: 1) accomplished 2) energized\n", "labels": "noticed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-46b0d97a790041f09aef6159b33a0f70"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX seizes PersonY opportunity. Intent: 1) to pass the time 2) to eat. XEmotion: 1) competent 2) hungry\n", "labels": "resentful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-457f206cc7ea4f3881765b497adea062"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX steers the ___ away. Intent: 1) to be helped. XEmotion: 1) relieved\n", "labels": "led", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-78b9d0360e0b468e8db78769f47a6218"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks ___ what happened. Intent: 1) to feed everyone 2) to celebrate 3) everyone to like him. XEmotion: 1) happy to feed everyone 2) joyful 3) full of cake\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5a09a8b738b040c3adab3de939536041"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX treats PersonY kindly. Intent: 1) money. XEmotion: 1) proud\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4cdfbd2828ec4468a408ef14e66d0f5c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wears PersonX's heart on PersonX's sleeve. Intent: 1) to keep warm. XEmotion: 1) accomplished\n", "labels": "appreciated.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d766c60ee5724a4394ccc13426a4555f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX becomes friends. Intent:. XEmotion: 1) nervousness and anxiety\n", "labels": "happy and good.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a7897477ce3340f5bd5925ab7a03d483"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps PersonX's cool. Intent: 1) a new friend.. XEmotion: 1) good about having a new friend.\n", "labels": "comfortable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b1d4b6559d8742fa8142d14a87c0b8b4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX immediately took PersonY. Intent: 1) to change jobs. XEmotion: 1) like a failure\n", "labels": "frightened", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c8b73f34c49541e2bc8f651bc05b09bc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ in the discussion. Intent: 1) to be helpful 2) show them the way. XEmotion: 1) happy 2) helpful\n", "labels": "like they have a contribution", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4c92275c31414dcf9489899c487a61f4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX eats PersonY's supper. Intent: 1) to give a massage 2) to please the person. XEmotion: 1) useful\n", "labels": "irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4ec07d9dd67744c9b495bcf0d79aded0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings PersonY to the doctor. Intent: 1) met some new people at the dog park. XEmotion: 1) included with the other dog owners\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4afa08c5fc4b4d54a5fca8c923708903"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonX's dad. Intent: 1) to be surrounded. XEmotion: 1) befriended\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f0a703b9855f47d0913817980839044e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX determines PersonY's position. Intent: 1) to be puts. XEmotion: 1) happy\n", "labels": "free to express thoughts.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ed0069e44bb54b53885bfe6f5e575826"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX changes people 's ___. Intent: 1) to do a perfect job. XEmotion: 1) satisfied\n", "labels": "renewed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1a9a95b76116468a98b6a275e19595d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes bowling with PersonY. Intent: 1) to make a connection with persony. XEmotion: 1) connected to persony\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d109d231b7c14debac1b68cff89c30aa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a push. Intent: 1) to earn some big money. XEmotion: 1) lucky 2) eager 3) thrilled\n", "labels": "hurried", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9e681a35b28b4a539ec74f5c78c3d7d0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses PersonY job. Intent:. XEmotion: 1) rested\n", "labels": "angry that they lost their job", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-edfe33d5f90b457a99934580a4b95051"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hands down ___. Intent: 1) to be a attentive. XEmotion: 1) awake\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2aa41b553e344a98a04e0e9af2738219"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX serves as PersonY instrument. Intent:. XEmotion: 1) hurt\n", "labels": "strong", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1e891467edc84bce9769ca9fe1332ae0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX writes PersonY's letters. Intent: 1) be a good & responsible citizen.. XEmotion: 1) proud to good by own country.\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b63872dc47304cfe9dbd0cd9bb5d550b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys PersonX's one. Intent: 1) to try something in a new way. XEmotion: 1) dutiful 2) responsible\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bf66976db38146219ffbff22a5cef814"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loves PersonY in return. Intent: 1) to get rid of the cap. XEmotion: 1) accomplished\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9ece656b5b924624a7e51820c45a0e1b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX mentions in PersonY chapter. Intent: 1) persony's mother to have something.. XEmotion: 1) generous\n", "labels": "interested", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-70a0d4338d714b669e031a6d3afb089a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ a call. Intent:. XEmotion: 1) like a king.\n", "labels": "great", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a0a36f4223b740bd8e50450f67a60199"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets the part. Intent: 1) to get home soon. XEmotion: 1) unsafe\n", "labels": "disappointed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7274d47ae528408d94c97992598b37ec"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX clears PersonX's lines. Intent: 1) to be liked. XEmotion: 1) content\n", "labels": "happy and loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c575deb5e33248f58db009db5afac204"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes it special. Intent: 1) to form a team. XEmotion: 1) powerful\n", "labels": "loved and happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-99ee70766ca84ee59c8ad0d197120ebf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX darkens PersonY's door. Intent:. XEmotion: 1) happy 2) sad 3) interested\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9fbf89a1cad94d99b185d62d5ddd6975"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX really hit it. Intent: 1) to help. XEmotion: 1) happy\n", "labels": "glad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-38c10c0941134a099568e04c134c1139"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX moves PersonY's head. Intent: 1) frustated with student. XEmotion: 1) angry 2) frustrated\n", "labels": "awkward", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-38c62e14b5404a8d94b95ef76f79bc87"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drives PersonY to school. Intent: 1) to be helpful. XEmotion: 1) good inside\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9c58cf29aa59471d93332001349386d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX holds the cards. Intent: 1) to live. XEmotion: 1) happy\n", "labels": "like peons.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dcf65afe9992457d8dba17a9e217cab9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lends PersonY a hand. Intent: 1) see what happens 2) has to touch everything 3) is curious. XEmotion: 1) fulfilled at his impulses 2) happy\n", "labels": "like theyve been helped.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-332f62e2b09c4398bf426475d072bbbf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX divides the ___ into classes. Intent: 1) to give the other person a good chance to figure something out. 2) to help out the other person. XEmotion: 1) like they did the right thing 2) they were helpful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ddafb49ee9fb497abba106d0f69bbf06"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a life. Intent:. XEmotion: 1) i angle to angry\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2c1e3297dec8468a9d1fecf50c163042"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has health issues. Intent: 1) to do a perfect job.. XEmotion: 1) proud about his plan.\n", "labels": "sad about it", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-355cbb3202994840b0dac6993e4009bf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's mom about it. Intent:. XEmotion: 1) nice 2) good about themselves\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4230cc4668fd4f3b8a764f70a04728a2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX agrees to try it. Intent: 1) to fit his social group 2) have an image. XEmotion: 1) accomplished 2) pain\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2f6bf770868349948b29d5c1184cd909"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows PersonY could do it. Intent: 1) to see this individual. XEmotion: 1) connected\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a03585be81524f35af6377ab7deddad9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It goes great. Intent: 1) to be nice 2) to show appreciation 3) because they like persony. XEmotion: 1) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c73c2c1bb45243f6bc21e2656fa1ee08"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts choking. Intent: 1) to care for an animal. XEmotion: 1) worried 2) loving\n", "labels": "nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d7ff12a53c7f41a5a41602ed238e737d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lets ___ off with a warning. Intent: 1) to entertain 2) to show talent 3) to be famous. XEmotion: 1) famous 2) celebrity\n", "labels": "ashamed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5a8cf418f061409897de7ef71c6c29c5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX cuts PersonY hair. Intent: 1) to get lots of money. XEmotion: 1) scared and guilty\n", "labels": "sarisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dda804e53a954c889585eec3738c4361"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX achieves PersonY effect. Intent: 1) to show disapproval. XEmotion: 1) upset\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fb10f703964a44f78af1196ae6120c76"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is a great basketball player. Intent: 1) free world. XEmotion: 1) feeling good\n", "labels": "jealous of him.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-19cbc51c482c4272b5e32d8a17a71049"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's brother. Intent: 1) to find out what is burning. XEmotion: 1) relieved his house is safe\n", "labels": "good and informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cb655b2045a540d7a8d21824f764aaf9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes kindly. Intent: 1) to playful 2) to make the other person look for it 3) to make things harder for the other person. XEmotion: 1) devious 2) teasing 3) playful\n", "labels": "welcomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5bef1502c1de47ffa0ebff8e6edf7f67"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to rob a bank. Intent: 1) ease his hunger. XEmotion: 1) healthy\n", "labels": "betrayed and scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f48dfb3a5c964f97a513b63bcd7a472c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows PersonY effect. Intent: 1) to shut the person up. XEmotion: 1) paranoid\n", "labels": "neutral.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-34e8a57f209844b9b800df9f8f39bf11"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX enjoys the music. Intent: 1) see if his book is done. XEmotion: 1) nervous about the quality\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eea29b3697cd40afb3126f810161ca77"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonX's son. Intent: 1) to be on time. XEmotion: 1) relaxed\n", "labels": "knowing", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-04200c1014c842468d8ed8e3512c3cac"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX also played. Intent: 1) to avoid being reprimanded by her parents.. XEmotion: 1) worried.\n", "labels": "good to have someone that played also", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-508aa3425ff0443793bd2b318977b13c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes ___ in hand. Intent: 1) to have fun 2) to entertain others. XEmotion: 1) happy 2) content 3) proud\n", "labels": "secure", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-07cdc59405b641389a5a63bbdb856a8a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX really hit it off. Intent:. XEmotion:\n", "labels": "engaged", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a7b2ebbce7e0498d804137a75c89a15e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX likes to sing. Intent:. XEmotion:\n", "labels": "impressed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8514c4db261c4d3eb9bba80e26946c50"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stars into PersonY's eyes. Intent: 1) to breath. 2) to meditate.. XEmotion: 1) calm.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5c92c88332554c9fba031ba61ef5ce1a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX supports one 's ___. Intent:. XEmotion:\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-74ab40faec714db693bd4f0b0d6ee42a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows PersonY was in trouble. Intent: 1) to eat a meal. XEmotion: 1) satisfied\n", "labels": "scared.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2009f235bec54ddba57de29eb24fd7b1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX extends PersonX's ___ far. Intent: 1) to eat 2) to spend time with person y. XEmotion: 1) satisfied 2) recharged\n", "labels": "controlled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e1353ec151024bedbc5014a27ca1506e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches PersonY how to play. Intent:. XEmotion: 1) entitled\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-390f196ad7cd4c8588866f3d4165aa3e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drives PersonY's car on the highway. Intent: 1) something to be hidden 2) something to be buried. XEmotion: 1) dirty 2) gross 3) determined\n", "labels": "fear", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-429d4832b92c4c90879befbfaebff244"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pushes past PersonY. Intent: 1) to be successful. XEmotion: 1) determined interested\n", "labels": "angry also.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-23498657bb5b41389c926c8716712f75"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX meets PersonY's mother. Intent:. XEmotion: 1) nan\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-08744f173c0f4defa30876581643d84d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX presents PersonY image. Intent: 1) to make her his girlfriend. XEmotion: 1) rude\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-160431e561cc40a89dc8003bfc22039a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY's roommate. Intent: 1) to (be). XEmotion: 1) sad\n", "labels": "interrogated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b002222ba6cb4624903a44799f910dc5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a peck. Intent:. XEmotion: 1) out of place\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6e93b88f5f634c2fa093fa68daceeded"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lives happily together. Intent: 1) to reach. XEmotion: 1) afraid\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bc3c557736054c24aefabd4b8bb2b782"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loves PersonY's new hair. Intent: 1) to do well in school. XEmotion: 1) exhausted\n", "labels": "happy they look nice.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-73d8a7211b8b41dcb706c6222261607f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings forth ___. Intent: 1) to show affection 2) x like person. XEmotion: 1) happy 2) enjoy\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0c9d377e374649248b5d43446f859fc8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY happy again. Intent:. XEmotion: 1) helpful.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3fc8550076df4fc59a84983a4630662a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX settles PersonY's hash. Intent: 1) to inform. XEmotion: 1) good\n", "labels": "subdued", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-781844d03614478c8571a147548282f4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX catches the eye. Intent: 1) wants to see it grow. 2) to not kill it.. XEmotion: 1) satisfied 2) amazed he hasn't killed it yet.\n", "labels": "attracted.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f213bb397bfe45fbb5ddb92b701e08a7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX forms another ___. Intent: 1) to escape from something 2) to get somewhere early. XEmotion: 1) worried 2) nervous 3) anxious\n", "labels": "curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-33bdb0c083de426481b28880f214d1b5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hands PersonY his hat. Intent: 1) to enjoy music 2) to see performance. XEmotion: 1) enjoyment\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-167bb6bfa8f54cd8b91c7fda977ce33e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sits across. Intent: 1) to have person in his arms. XEmotion: 1) loving\n", "labels": "annoyed about his behaviour", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-619b5504e2b44658875abc86e240e2b7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX owes PersonY money. Intent: 1) to provide knowledge. XEmotion: 1) happy\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-88037f35487c4ee3beda48ad490dd1c1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX waits to go. Intent:. XEmotion: 1) excited\n", "labels": "appreciated.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ba3d18c5a3a249df9ebef8a25d388d87"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX enters PersonY house. Intent: 1) to go to party. XEmotion: 1) great\n", "labels": "happy her friend came over.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-42b9214f318a4a029c428bb016cbbe35"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY's family to the beach. Intent:. XEmotion: 1) in pain 2) that they we not being careful\n", "labels": "included", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30b517a958d9492196de0519b143ac54"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees ___ in the wild. Intent: 1) funny. XEmotion: 1) satisfied\n", "labels": "startled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-35454ec9a3a44ce28240d0677f812a4f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonX's father. Intent:. XEmotion: 1) embarassed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9f47722ad37e4cd88aec0abee7fd29a7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX divides the ___ into parts. Intent: 1) to elude something bad. XEmotion: 1) safe 2) worried\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e6b74934bdb44ba99ee94bc736269319"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX requires PersonY effort. Intent: 1) to try something new. XEmotion: 1) excited\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-09f7b5cf575e4409b449a787aa9e6697"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ an ultimatum. Intent: 1) it right now. XEmotion: 1) hurried\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a7f8c6e3e3fe4b27903267d59badadf0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps PersonY's hands. Intent: 1) to be friendly. XEmotion: 1) happy 2) friendly\n", "labels": "better about the situation", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a461b24d4bd4363beb490ccb81fdea3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is on vacation in florida. Intent: 1) to help y. XEmotion: 1) happy\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5247dd97363f4fa496afeba2718fbaff"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX scores a touchdown. Intent: 1) to please the other person.. XEmotion: 1) like she will make her friend happy.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-db3e96bac7844d3c8a298257155dd232"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ a black eye. Intent: 1) to hear a beat. XEmotion: 1) satisfied to catch the beat\n", "labels": "bad someone hurt them", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-206486ecb80048ee87adf55aa28fb5b3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes the family. Intent: 1) to kill person y.. XEmotion: 1) angry.\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8620e78bd7e44871ba8e2894186d6770"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX reduces the ___ by percent. Intent: 1) to make persony accountable 2) to check the facts. XEmotion: 1) relieved 2) believable 3) justified\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-84edf50447f541eab586f74c2392897f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX regulates ___ among the states. Intent:. XEmotion: 1) bothered 2) sorry 3) irritated\n", "labels": "obliging", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fd229541afba4e3e986ea1d6e3f17143"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX cancels the date. Intent:. XEmotion: 1) embarrassed.\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-10e0525c14494479923f2602417a1b13"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wipes the ___ from PersonY's brow. Intent: 1) to accomplish something 2) to get something done. XEmotion: 1) accomplished 2) dilligent\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a3e3b1d1d5434e79b58f52923c585f47"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes a friend. Intent:. XEmotion: 1) important 2) special 3) better than others.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c3ac9b6d795547a4ad746a0947b4ab16"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pays a visit. Intent: 1) to keep their country safe. XEmotion: 1) successful\n", "labels": "pleased and wanted.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-872a8eb81cd64ffea562695656b6e506"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hangs a picture. Intent: 1) them to leave. XEmotion: 1) relieved to get rid of them\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-19b5e37f362443018a8f2ca53ad0ebc6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY the story. Intent: 1) to eat some.. XEmotion: 1) happy.\n", "labels": "trusted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9f19318801a14deaa30c495734e97451"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX supports either ___. Intent: 1) to be inteligent than others. XEmotion: 1) great and had confident\n", "labels": "heard", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d49c9e9b6b04a91a0926a7d7b04568e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX speaks one 's ___. Intent: 1) to not cause trouble. XEmotion: 1) quieted\n", "labels": "surprised.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ae639e0014084c85b42f4d651df70bae"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets bullied. Intent: 1) to visit temple. XEmotion: 1) great\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b6b62fb5f32b42f185c53e86eb315f69"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wants anyone to know. Intent: 1) to be a good friend 2) to help out. XEmotion: 1) helpful\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-80a3cc3c7d6d4792bd06954a6a1c24d2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a big hug. Intent: 1) to be in close proximation to person. XEmotion: 1) good because x is near person.\n", "labels": "good because they got to see someone they like and hadnt seen in awhile also", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-63c135f7ba8648d088fdba23be0c5543"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX works very well. Intent: 1) see where person goes. XEmotion: 1) sad that person is gone\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3798a53b77814236b8439863fca521a4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses as PersonY example. Intent:. XEmotion: 1) frusterated 2) stressed out\n", "labels": "flattered", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6ea42e9937034c3aa5f06b950475a119"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX warmly kissed PersonY's necked. Intent:. XEmotion: 1) surprised 2) happy\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-178402660eaf4d33a09f1f47ed790f78"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps the home fires burning. Intent: 1) to be welcoming. XEmotion: 1) powerful\n", "labels": "welcomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-81c5d6b73882458fb77d901ed8e10e92"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys flowers. Intent: 1) persony to admit to something. XEmotion: 1) good\n", "labels": "comforted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4b926cbb3c04d7f9982e35f7cfb3976"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shakes PersonY head. Intent: 1) to be scared. XEmotion: 1) frightened\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bfe848b6f7df48428ecfad48ed9f4823"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX bursts into tears. Intent: 1) to accomplish in life. XEmotion: 1) contented with himself\n", "labels": "empathy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0e3c995ca87342cfa5638b9fda7da563"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys one for PersonY. Intent:. XEmotion: 1) relieved and grateful to god\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-af3b9fe3542349a79f2bac100ab3621f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX serves the ___ better. Intent:. XEmotion: 1) fearful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-27bf6bd722d247e0bf7f9846f4d90d0f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes any friends. Intent:. XEmotion: 1) painful and sad\n", "labels": "social", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8541d102d01649b79baf2d1b98d7e156"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is taken care of. Intent: 1) to do something that person's way. XEmotion: 1) complete\n", "labels": "helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-779c1abd8ff7454ebc5a600562e4216e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX avenges PersonX's brother 's ___. Intent: 1) to have fun.. XEmotion: 1) happy.\n", "labels": "bad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f65e2c19dd9f4ada8ff084e336c82b62"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX spends ___ with PersonX's kids. Intent: 1) to be civilized. XEmotion: 1) anxious\n", "labels": "affectionate", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ad145dcde3694746937de02da30645f3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY to leave. Intent: 1) to help them. XEmotion: 1) helpful\n", "labels": "rejected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2bb1971de5e241a0968d7bc3e7da0f03"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes an art class. Intent: 1) to compliment persony 2) to be healthy 3) to eat organic food. XEmotion: 1) healthy 2) satisfied 3) proud\n", "labels": "happy and attentive", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-77f6eadbc29a4fdca381b1d109349416"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is time to compete. Intent: 1) to keep up the routine.. XEmotion: 1) inspired 2) happy 3) fulfilled.\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9c694fc4860b4d399a67a6e21ae71d1f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets along with others. Intent: 1) show off his knowledge. XEmotion: 1) like a showman\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-94f63821c95543ada228847066759120"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX costs PersonY dollars. Intent: 1) to get ahold of someone 2) to contact someone. XEmotion: 1) scared 2) relieved\n", "labels": "like their standards werent upheld", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ba7cf021d0d9483089c523882cf95428"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY's phone. Intent:. XEmotion: 1) mad\n", "labels": "happy they could help personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d8ae7e8d66424575a7d803d3f7db7787"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY the ability. Intent: 1) to be part of the team.. XEmotion: 1) elated.\n", "labels": "empowered", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-56007babceba4ae49910ec78c76be915"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drops ___ off at home. Intent: 1) to be stronger for being together. XEmotion: 1) in a better situation\n", "labels": "grateful for the ride home", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3b9bc433a16947ecb4008a67752acd2f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX enters the room. Intent: 1) live far. XEmotion: 1) unsatisfied\n", "labels": "welcomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e81f880fea93412caadbb0036c810442"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY something. Intent: 1) to have a laugh. XEmotion: 1) entertained 2) humoured\n", "labels": "helpful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7bebd9e476cc4ece81224acaf7ab9634"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells the joke. Intent: 1) see who wins 2) watch sports. XEmotion: 1) competitive 2) happy\n", "labels": "entertained", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-413ae5749e7c49afb73e21aa59b6bf16"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rocks the boat. Intent: 1) to help to the person.... XEmotion: 1) happy to do that 2) but after may be feels why i do that for this person... next time the person should manage their time..\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d88e5c49797242adb89852b58e5a8291"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys a gift card. Intent: 1) to take a chance on something 2) a positive outcome. XEmotion: 1) glad he tried something new\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-46e11345d2904523a3436f3803395bd6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is having a birthday party. Intent: 1) to communicate. XEmotion: 1) great\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b4af5f3efe0640a3b8793c8aafea0fb5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonX's son. Intent: 1) to make persony happy 2) to show affection. XEmotion: 1) good about themselves 2) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c05d462a13034622834ae768d2df41a7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It simply buy. Intent: 1) socially 2) loved 3) involved. XEmotion: 1) loved 2) caring 3) togetherness\n", "labels": "brave", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1b6be580ec794fef801aaa7219113713"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX holds PersonY's hand out. Intent:. XEmotion: 1) disappointed 2) disheartened\n", "labels": "included", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f57a41b159464f0db9fffc59384f0d42"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to help PersonY out. Intent: 1) to listen. XEmotion: 1) satisfied\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-491d39eae7664f28bcc4870df61dba8d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX harms another ___. Intent:. XEmotion: 1) hurt 2) upset\n", "labels": "harassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-68413201bc614dd5a862729b91e9336d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys PersonY's tickets. Intent:. XEmotion: 1) happy 2) appreciative 3) well liked\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9d29463d073a4d19914d501b40559501"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes a bet. Intent: 1) a new jacket. XEmotion: 1) warm\n", "labels": "hopeful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c1d4f35f3f52479d92ade270f2a4c7f6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX surprises PersonY with tickets. Intent: 1) to be play. XEmotion: 1) excited\n", "labels": "loved.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3e25500da66e4090a46faa77da932bd8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY's letter. Intent: 1) to go rest. XEmotion: 1) satisfied\n", "labels": "concerned about the mail", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-37e8c7da1d9d425a90568321463e0a35"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY a present. Intent: 1) get a degree. XEmotion: 1) proud\n", "labels": "happy and grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f1818446e0244610bed53c7b77a35992"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX exposes oneself. Intent: 1) medical advice. XEmotion: 1) needy 2) unhealthy\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3350d13d5bfc4f77984fe9eaa87b61b7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps the man. Intent: 1) to be nice 2) as a bonding experience. XEmotion: 1) happy 2) competent 3) mature (in a good parent kind of way)\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3cd48ecfd1fc4264a6212310f5e2ec35"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a headache. Intent:. XEmotion: 1) surprised that he is noticed\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4c97c1d4c99b444386c093fc4de09cd7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX runs down PersonY's cheeks. Intent: 1) to go around 2) to go a different way. XEmotion: 1) relieved\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9e920d90932040208d4da316373ff3ef"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes to a baseball game. Intent: 1) to get somewhere 2) to trespass. XEmotion: 1) nervous 2) adventurous\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4bbc0a0cbacc42388b8db3bfc065e458"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts out PersonX's hand. Intent: 1) to have something new and fun. XEmotion: 1) excited\n", "labels": "glad they work with personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-87a228ec79e54a15acd5a6ce3a2d5c54"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins a lot of money. Intent: 1) to help person y 2) to get work done faster 3) to supervise person y. XEmotion: 1) accomplished\n", "labels": "jealous.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-94e2b38e3417444ea82494336d5dc39c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY questions. Intent: 1) to be respectful 2) to show off their hair. XEmotion: 1) happy that people react kindly to their hair 2) content\n", "labels": "informative", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b58a8ec906a64d66914929741897c7dd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY's parents for one. Intent: 1) to equalise situations 2) to reduce problems. XEmotion: 1) happy 2) good about himself\n", "labels": "happy giving", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cf802dd9ce82403b8b51a6fc01042786"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kills PersonX's wife. Intent: 1) to have an adventure. XEmotion: 1) thrilled\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-da7b1f343f39499ba1ee7ebbb47cc498"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX quickly stopped. Intent:. XEmotion: 1) embarrassed\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d5d1a27b98de46c3a42c75477ee47adb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets quiet. Intent: 1) to get a better view. XEmotion: 1) curious\n", "labels": "wondering", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-be1e4a5c514f488080a0d4a3848145a0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX putteth forth PersonX's ___. Intent: 1) return an object. XEmotion: 1) pleased\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-67e0d383e7144872a6f7bc948f8ed803"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX crosses PersonY's mind. Intent: 1) some stuff. XEmotion: 1) re leaved happy\n", "labels": "happy to think of x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6b6b357c85034d02aedd426b2e5d0ede"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a massage. Intent:. XEmotion: 1) surprised\n", "labels": "relaxed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7d09647e90ff4e8c8a299e0d0c2a326e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pushes PersonY's back. Intent: 1) to make a meal 2) to cook. XEmotion: 1) full 2) content\n", "labels": "relieved that they dont hurt anymore", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ee466428f1cf46ba896daddcfaef1569"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY's dog. Intent: 1) to use their hands elsewhere. XEmotion: 1) secure\n", "labels": "thankful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cd2f37598925441e8727f0cfb491fefa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX provides PersonY estimate. Intent: 1) to be defines persony. XEmotion: 1) good about themselves\n", "labels": "happy and satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ef68ed43ba8743e4885f2407dd24b81c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX raises ___ to help. Intent: 1) to be lazy.. XEmotion: 1) disappointed in himself.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a9e838f20da04282893f4b5fffa5397a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is time to go. Intent: 1) to understand the material. XEmotion: 1) much smarter\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-807c6de03e4244e89580cd100d287ed8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has lost PersonX's job. Intent: 1) to be jovial. XEmotion: 1) outgoing\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9c2981a7e7e940ea97df2e216367e52e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses PersonY analogy. Intent: 1) to borrow them to go to a party.. XEmotion: 1) happy.\n", "labels": "embarrassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a2dea2dc820d43ffb4c4edb40071e18b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings PersonY into the world. Intent: 1) to have fun 2) to have a thrill. XEmotion: 1) thrilled\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7fade6b42eda40e2b4d59d0e834e46a4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX thanks the ___ for PersonY's permission. Intent: 1) to find a place that is good 2) to find a worthy place 3) to find a fun place. XEmotion: 1) excited 2) satisfied\n", "labels": "thanked", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6f0e4b6e276d44248c8be7c7e4eacfca"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings PersonY forth. Intent: 1) to catch up on work.. XEmotion: 1) drained.\n", "labels": "exposed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-afe6745414af4f9ca90697b853915a36"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls PersonX's brother. Intent: 1) to show gratitude. XEmotion: 1) thankful 2) modest 3) earnest\n", "labels": "pleasant", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bd7cd727ab7444c68713b6147dae1bfb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY a little. Intent:. XEmotion: 1) desperate 2) lonely\n", "labels": "curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-942a0f7818c04825870de32406527eba"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX whispers ___ in PersonY's ear. Intent:. XEmotion: 1) ashamed\n", "labels": "like they can be trusted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7b1c6847674e4c1183ccea8b1f67205b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX also asked PersonY. Intent:. XEmotion: 1) surprised 2) curious\n", "labels": "releived", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-626e975e002b404ebfb2e32377c1fe55"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX reveals PersonY's identity. Intent: 1) more power 2) make an bigger impact. XEmotion: 1) proud 2) empowered 3) in control\n", "labels": "angered", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-61f78b27afcd4a06ad40d1d5b9db33e1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is christmas eve. Intent: 1) to attend a concert. XEmotion: 1) excited\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cbd47a5d26b44e148e616b703b5163e4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a treat. Intent: 1) to be helpful. XEmotion: 1) happy\n", "labels": "excited and happy to receive a gift.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-18893bac7c854a4db21fcaabeaad01dc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hires PersonY a tutor. Intent: 1) feel thirsty. XEmotion: 1) thirsty\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5df67452651a4dff86965b2472157333"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has never been on a train before. Intent: 1) to keep his or her hands warm. XEmotion: 1) warmer\n", "labels": "happy for personx.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fc2f47e4ad754661be05a769e885e24f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes near PersonY. Intent: 1) input on a situation. XEmotion: 1) appreciative\n", "labels": "feel that x is too close.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d0a4d15c4864689bea0442dc854283c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows ___ PersonX's feature. Intent:. XEmotion: 1) quite badly\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9af691e8d1b44155982f4c91801fe5a8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX spends ___ with PersonX's families. Intent:. XEmotion: 1) sorry\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6f0546f59d5843af8c78115efb2877b0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets in PersonY's car. Intent: 1) to be thorough. XEmotion: 1) satisfied\n", "labels": "happy to help.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e929868c33b04924953289860ed730d3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds PersonY's cat. Intent:. XEmotion: 1) surprised\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0433c4e88e4940a48309069cd9a56578"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX points PersonY's finger. Intent: 1) to do some urgent task 2) to play movies 3) music. XEmotion: 1) satisfied 2) tired 3) happy\n", "labels": "curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-393a06ae88fc4e3aa506440f210fbb14"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It stops raining. Intent: 1) to be included. XEmotion: 1) included\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d44596bef9f473a8de4242f53bcb3b2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX counts to three. Intent: 1) to see the details 2) to not miss anything. XEmotion: 1) thorough 2) confident\n", "labels": "worried", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f643ae5ba4934a52b1631d3d36d0dcaa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY's kids. Intent: 1) to go on a ride. XEmotion: 1) productive\n", "labels": "okay.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e1761b60280d4ad0a1521d90636f7e19"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX walks in PersonY's house. Intent: 1) to have company. XEmotion: 1) happy\n", "labels": "happy to see a friend", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-632c32e95fb5455cac3b37c1057cbad9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY plenty. Intent: 1) to help out. XEmotion: 1) useful\n", "labels": "happy and grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-789e4bed532f48ecbd363d3265d14e35"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX thanks the ___ for providing. Intent: 1) to help persony. XEmotion: 1) happy with themselves\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f71b1520daea446f82454c29da89c87e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX becomes a lawyer. Intent: 1) to lay person y's hand.. XEmotion: 1) nothing.\n", "labels": "secure", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7817f36834da47bfad9e8a049a930c2e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes nothing for granted. Intent: 1) to inform persony 2) to be truthful. XEmotion: 1) justified 2) righteous\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f3dd443ec4a84b85b91f0fbaca7e480a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX chases ___ around the house. Intent: 1) to be seen as a good person 2) to treat someone nicely. XEmotion: 1) good that he or she made someone happy\n", "labels": "like they are having a good time", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e940fd28e53c402eb5daf71c90f9bd8c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses a lot of money. Intent: 1) to be the best they can be. XEmotion: 1) proud\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b496324a55194592965367a2d27e94f9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX breaks one. Intent: 1) to do the right thing.. XEmotion: 1) happy to help.\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5708a16cfab04d0084212d5e0f147f95"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves PersonY's house. Intent: 1) to get somewhere. XEmotion: 1) relief\n", "labels": "tired too after spending many hours chatting.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b6d2d93514764d7c84d324545c954214"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX reaches for PersonY's hand. Intent: 1) to win the election. XEmotion: 1) empowered 2) active 3) engaged\n", "labels": "shy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a6c83b93dce7497e9949de8d159352aa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows where to start. Intent: 1) to buy things 2) to have a comfortable life. XEmotion: 1) comfortable with the riches 2) happy to buy things 3) better than others\n", "labels": "trust", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4f97a745d72d49c0b11bbfcb3f5c5e10"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves ___ at home. Intent: 1) compete. XEmotion: 1) determined\n", "labels": "sad.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-985ebc1da1164ba59201fa1d304477b9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX confers upon PersonY. Intent: 1) to know what will happen 2) to be entertained. XEmotion: 1) satisfied\n", "labels": "pleased", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8f49e144e4ee451791cdd2fb89954fea"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX discusses in detail in chapter. Intent: 1) to pay their bills. XEmotion: 1) relieved\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-864bfecd326d42a8b60c485d3c747ddd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY part. Intent: 1) to be nice. XEmotion: 1) good\n", "labels": "also happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0f327aedf8ee437484f886b612d8d8e0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX fixes PersonY's roof. Intent: 1) to go away 2) vacation. XEmotion: 1) satisfied 2) happy 3) ready to go\n", "labels": "gratitude", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3a0ba02b6ecf4ac6a371d9857ca75255"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX feels badly. Intent: 1) to make money. XEmotion: 1) responsible\n", "labels": "sad.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b07e2345c07d4a039d2c1f04ec2f284a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX interprets ___ in a way. Intent: 1) to stretch.. XEmotion: 1) relaxed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-295df15c97ff4471b99596d090e456f0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX names another ___. Intent: 1) to drink milk. XEmotion: 1) full\n", "labels": "its happy moment", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-34b9b4ab10ab459a99c5771f6a82221a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses ___ to maintain. Intent: 1) to be stable. XEmotion: 1) sufficient\n", "labels": "nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dc5dc77742fb4b06b17a90b4d3e8d34f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX measures the ___ accurately. Intent: 1) feel better. XEmotion: 1) better 2) good\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fac8d5e661114a8f9b0c17e66243e75c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX looks shocked. Intent: 1) the meat tenderized. XEmotion: 1) good 2) hungry 3) satisfied\n", "labels": "astonished", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a3b4216e1c354d70a5b53df1d75450f2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays PersonX's new game. Intent: 1) to catch personx's dog. XEmotion: 1) relieved\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a2135d14bd54db5887366870cf7715f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX defends PersonX's rights. Intent: 1) she affects a person's life. XEmotion: 1) other person is very sad\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7a53dbecb13b42a2a28a6e9f266a3ffe"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX improves PersonY's lives. Intent: 1) to get away from something or someone. XEmotion: 1) happy\n", "labels": "appreciative.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-42f23853a771485ebd0e9f328eae4d8a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It has never seen before. Intent:. XEmotion: 1) worried 2) unhappy 3) nervous\n", "labels": "wonder", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-539386b06a9f443090cea53c3615402e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends PersonY to a school. Intent: 1) to be thinner. XEmotion: 1) accomplished 2) confidant\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b4e128b79c8e468ca3aa1de14ee803f8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY to get. Intent:. XEmotion: 1) embarrassed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a86ac85f847b438ca2b9bbe94b19a4ab"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX builds PersonY's houses. Intent: 1) to make persony's guitar work. XEmotion: 1) inquisitive\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-198b69c1be944eb7a43c07303e6607fc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays ___ with my friend. Intent: 1) something to eat. XEmotion: 1) satisfied\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-11d7d4b054ba4ab9a27eaaaedf16ecc8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts PersonY in order. Intent: 1) to be successful 2) to be able to pass the test. XEmotion: 1) nervous 2) ready 3) stressed\n", "labels": "looked out for", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8ef9cb826e534d9790d20e6b6dc4e491"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX achieves PersonY end. Intent: 1) to travel. XEmotion: 1) tired\n", "labels": "outdone", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-84504d9fb39a42c1afc84e76b13880d6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pays PersonY's expenses. Intent: 1) to increase fiber intake. XEmotion: 1) healthy 2) nutritious\n", "labels": "grateful for the help paying for things.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c68372c2e2e548ac8194e885e070ce18"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX contributes to PersonY understanding. Intent: 1) to serve the fishermen. XEmotion: 1) contented with himself\n", "labels": "learned", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fa432d6306ee43a59bb7e8bd9da0cc8c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees PersonY's friend. Intent: 1) to kiss 2) to get closer. XEmotion: 1) loving 2) happy\n", "labels": "happy and socially-active.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-025afad3d33c4570b1d926dd213bc460"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX means every word. Intent: 1) to be alone 2) to not be disturbed. XEmotion: 1) at ease 2) protected\n", "labels": "serious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8f4fe496c4f8425e931375b471c3bfce"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stands in PersonY's way. Intent: 1) to be in control. XEmotion: 1) powerful\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-edd5fefef84f443e8bcdef166be6f65b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX slams on the breaks. Intent: 1) mark the route. XEmotion: 1) prepared\n", "labels": "relieved.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-55fdb25eb52d45c5a9daae7131c95773"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is winning the game. Intent: 1) feel clean 2) take care of self. XEmotion: 1) clean 2) caring of itself\n", "labels": "jealous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-27bc936471fe4653bafff9e5c316a3c1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees ___ in PersonY's eyes. Intent: 1) to be happy. XEmotion: 1) happy\n", "labels": "joyus", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4fcda48b197a4f96bcf9586d76c4aebf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX meets the customer 's ___. Intent: 1) to lose their virginity. XEmotion: 1) lovestruck\n", "labels": "happy that their demands are met.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2fe7d6023ecf41d78e65d40563d3a15e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX looks all over PersonY's house. Intent: 1) buy dress pay prices for goods. XEmotion: 1) happy\n", "labels": "grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2aa7c1d2a45749eabe1948ad027ea37d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX relieves the patient 's ___. Intent: 1) to go on a date with this person.. XEmotion: 1) pleased and satisfied.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6d5d435f3a224fe09f40a0d5ff789adb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX needs help. Intent: 1) to succeed. XEmotion: 1) driven\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ae71454d01d94c68b45c4b315f1785c1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX prevents the ___ from spreading. Intent: 1) to help. XEmotion: 1) good\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-67c2e86b81f54a1193bd934a6a3de544"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It would know. Intent: 1) a friend. XEmotion: 1) happy\n", "labels": "knowledeable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3f073201d9ef4e2790ebb6b558962762"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets detention. Intent: 1) to be somewhere else. XEmotion: 1) like they would rather be there\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9ef54836c14844678fa3b96e1da2436e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX eats PersonY's breakfast. Intent: 1) control. XEmotion: 1) dominant\n", "labels": "accomplished", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0635e11727f14fa1af6b6cbb7737b2e0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX never found ___. Intent: 1) to find the meeting time.. XEmotion: 1) annoyed.\n", "labels": "sad that the person/dog was never found.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d3561ee51a01498cbf8063de2b0a6fe0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX supplies PersonY's wants. Intent: 1) to ask her father's blessing. XEmotion: 1) nervous\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ddb961ee67b84668b0f8f315f5dad417"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is running late to work. Intent: 1) problems feas. XEmotion: 1) satisfied\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-58ea9233b2a84d0aa4ae366922541c68"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX waves ___ around. Intent: 1) to be educated.. XEmotion: 1) happy.\n", "labels": "curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-36fbaa6d46a549ec8c5b8e463cb81273"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX cuts to the chase. Intent: 1) to gain knowledge. XEmotion: 1) enlightened\n", "labels": "slightly offended.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-548a9eba0e71445a833011538160adbb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX accidentally knocked. Intent: 1) show gratitude. XEmotion: 1) good thankful\n", "labels": "confused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0e33f217cad2455f86617e695894825d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX holds PersonX's ___ long. Intent: 1) to delay it for a more convenient time 2) to allow more time to prepare. XEmotion: 1) relieved\n", "labels": "controlled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1dc923381fe24be9bc35a6dbe886ad33"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has always wanted to visit PersonY. Intent:. XEmotion: 1) bad.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ffe32180cc164bfa97a6338bd2020c6b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls the restaurant. Intent: 1) to make himself known. XEmotion: 1) tired\n", "labels": "helpful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-edbcf86d334f4ac28ca51bdd507276be"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX seizes PersonY by the arm. Intent: 1) to cook some toast. XEmotion: 1) full\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bfe9f5b9858c4dc986f1e7f310726242"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hears back. Intent: 1) to be lazy 2) to do something else. XEmotion: 1) indifferent 2) they don't really care\n", "labels": "like they told him what he has been waiting to hear", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-11c8edbd0f994c07b679e3dc2905afe3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is getting a raise. Intent:. XEmotion: 1) sad\n", "labels": "person x deserves the raise", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ef45c2934018401b8b957f0f6d6ab690"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ to nyc. Intent: 1) to find out how broke he is 2) to see if he has enough money for a new refrigerator 3) to confirm that his paycheck hit. XEmotion: 1) satisfied\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-676d76d8222a419c966ecd6573572fcb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees a therapist. Intent: 1) to see why they are looking. XEmotion: 1) curious\n", "labels": "productive", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-56ca5f24a5344cceaa0bb3f9cb7bfc2c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY's husband. Intent: 1) to know it in detail. XEmotion: 1) enlightened\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e64b734a0c134e038781851b34ac3f72"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shares PersonY's thoughts. Intent: 1) to be satisfied. XEmotion: 1) happy\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1960d360f7da4ee78876d5040175cf9d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brushes PersonY's hair. Intent: 1) to find something lost.. XEmotion: 1) relived to find it or angry if they don't\n", "labels": "nice", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-663aadd198204360b613721b3463be19"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leaves it be. Intent: 1) an education. XEmotion: 1) motivated\n", "labels": "the person he avoided", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-649d7f2e4dc348248826225530c222e1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX moves back home. Intent: 1) to make it whole 2) to make things clear. XEmotion: 1) content 2) satisfied\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-19f93c3b73184aafab886c535427cdf4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows ___ around. Intent: 1) to follow his activity because he feels this is better way to achieve what we expect. XEmotion: 1) happy if he achieved 2) else he disappointed and choose anther way\n", "labels": "comfortable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fd59f56651964ba3b97fc591559491bf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ of the children. Intent: 1) to have the first one.. XEmotion: 1) elated.\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-36eef880422b46bcadca548f8b7ca694"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tries to ignore PersonY. Intent: 1) to get the laundry done. XEmotion: 1) like it's a basic need that has to be done\n", "labels": "neglected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-68b6a5044dae4a7da2055c991d26ee37"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is pulled over by a cop. Intent: 1) to make friends. XEmotion: 1) welcoming\n", "labels": "very scared as co passengers for being interrogated  by the traffic police", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-67641509edf1498dad3e099dd26a6ba4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sells books. Intent: 1) to save money. XEmotion: 1) responsible\n", "labels": "neutral.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-03f179ec2d6a4437b784641f52e26c00"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leads to PersonY understanding. Intent: 1) to be faithful. XEmotion: 1) happy\n", "labels": "knowledgeable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eab2cef688f94924ad1554415a1c7901"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tries not to laugh. Intent: 1) to watch is favorite tv show games of throne. XEmotion: 1) great and happy\n", "labels": "embarrassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c88474feb8bd46cca679f471e701e4d2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gains PersonY's confidence. Intent: 1) to enjoy life to the fullest. XEmotion: 1) like there time is better spent that way\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-121ca3892bf84045b487606603d8537a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX runs some tests on PersonY. Intent: 1) to be annoying. XEmotion: 1) amused\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dd6534387c4b486ca93b0b86f1f280f2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX comes into PersonY's eyes. Intent: 1) to be sociable 2) to be creative. XEmotion: 1) useful 2) friendly\n", "labels": "horrified", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-73f4e5100bc44cc0ae5f47239986c53d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts dating. Intent: 1) them to have the appropriate materials. XEmotion: 1) like they need the materials to function well\n", "labels": "also nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-912491f3382a4cc581519e40d0331723"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hires a lawyer. Intent:. XEmotion: 1) accomplished 2) happy\n", "labels": "glad someone trusts them", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-754e7f53d0ee4e5483b207a160a53112"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ on the day. Intent: 1) to use it. XEmotion: 1) happy\n", "labels": "trusting", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2f26a4df387042579bd4b928d7deb196"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX causes ___ to others. Intent:. XEmotion: 1) sorry for not being able to help\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cd5f2aece2bc42b7bdc5a5b6ec7e9d56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is time for a change. Intent: 1) to be accurate. XEmotion: 1) confident\n", "labels": "dissatisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-be5c88f3f0e04f3992a9fb118307c18a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lets PersonY know. Intent:. XEmotion:\n", "labels": "more knowledgable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-24a85df0538f4bcd906972c206bd186b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys a motorcycle. Intent: 1) to feel invincible. XEmotion: 1) unstoppable 2) powerful 3) godly\n", "labels": "connected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-aa9592e746524cdebcc7f7d136639199"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is always fighting. Intent: 1) to think of a place that makes them happy. XEmotion: 1) plasant and happy thinking of a place 2) happy thoughts of going one day\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d9f864d483394316a89c50d12dae082a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends a text. Intent: 1) to visit. XEmotion: 1) like they are with friends\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8d9b34178b8f45d18b28e884d9841934"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gimmes a five. Intent: 1) to be a responsibility at the time. XEmotion: 1) finish to happy\n", "labels": "excited and enthusiastic", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e18596deefbd4ff6956cd3be7e1be76b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has to take PersonY to the hospital. Intent: 1) to make a garden. XEmotion: 1) happy 2) eager\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-125592f6ef2145c0b2d7c5051de1703d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes the ball. Intent: 1) the world to be a positive place. XEmotion: 1) responsible\n", "labels": "frustrated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ed95d91d4d46405f82444dbd98b7b362"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY that PersonZ had cancer. Intent: 1) to catch the train. XEmotion: 1) accomplished\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7d1cba92f21f436b8e003c729aad2d56"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX joins the swim team. Intent:. XEmotion: 1) happy to receive their money\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c3c070ba28594b0e86932efd7f0a4dec"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sketches briefly the ___. Intent: 1) persony to get enough rest for their day tomorrow. XEmotion: 1) satisfied\n", "labels": "happy to have understood everything.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8044939834ac4097b0b585dd95a43e83"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX opens PersonY's gifts. Intent:. XEmotion: 1) he knows everything\n", "labels": "unhappy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-94e0ef2e92164aca8a98ee02b70f3ea5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is ready to give up. Intent: 1) to play with y in sea. XEmotion: 1) happy and enjoyment\n", "labels": "abandoned", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fce4cc8c32c640918ba8e295d0c21f06"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX bears PersonY resemblance. Intent: 1) to go through every review of the product before buying it. XEmotion: 1) happy that the reviews are good and that he has chosen a good product\n", "labels": "neutral", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-be7fd62a92fe4b6abae14452e2e5e09f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX celebrates halloween. Intent: 1) to make me angry. XEmotion: 1) victorious\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9227c0a7925b473eb81bc8c606dc9990"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX scrambles to PersonY's feet. Intent: 1) to afford their bills. XEmotion: 1) relieved\n", "labels": "positive", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cc4d1c7aef604f5490c0018842ed9144"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shows PersonY kindness. Intent: 1) to be helpful to person. XEmotion: 1) nan\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-deab320aba1f4d3781d8783cc579a41f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings ___ upon PersonY. Intent: 1) some time looking in person. XEmotion: 1) very like\n", "labels": "as they were caught in a rather suffocating & overbearing personx lock.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6a0d19eef317411b8097bdda66f85dcd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finally told ___. Intent:. XEmotion: 1) tired 2) sluggish 3) nauseated\n", "labels": "surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fb48769530bd46bbae4c58e0a6747d86"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tears PersonY's eyes away. Intent: 1) to rule the country. XEmotion: 1) happy and satisfied\n", "labels": "agony", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-16c82e24b2ec41029c856962345a5028"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pulls PersonY away. Intent: 1) to get to __ quickly. XEmotion: 1) ok\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9fac0b07c0a4442f896abf41d83a385f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX meets a boy. Intent: 1) to do something. XEmotion: 1) interested\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b971c19324b343588c9f9dda7e0236ea"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX blinks back ___. Intent: 1) to make cookies.. XEmotion: 1) happy.\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-35a151fb9fc74d7d9a9ede00bb8a6925"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX would come. Intent: 1) x wants them to be hardworking.. XEmotion: 1) good to help someone succeed\n", "labels": "happy to see personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-361fb8c119734bdfbb3a5af643cb3ffd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY orders. Intent: 1) to be alone. XEmotion: 1) relieved 2) sad\n", "labels": "compliant", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-003212a5e2f24dc9aef2aac4ea8d72fd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lets PersonZ's stay with PersonY. Intent: 1) to hide thier shame. XEmotion: 1) aweful\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-78f36f6ce1f0460088d96ca47ccab696"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees my friend. Intent: 1) bring his child home. XEmotion: 1) relieved\n", "labels": "also social", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3cd1c2b778b74c33864b441d1defa27f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It has in a long time. Intent:. XEmotion: 1) nostalgic\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62c51cf3f09742cb9e311a8c7ef60313"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX casts PersonY's eyes. Intent: 1) to work in it. XEmotion: 1) happy\n", "labels": "curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-92cabdfb78894857a3e00c93a3a0d636"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps PersonY in ignorance. Intent: 1) to be nice. XEmotion: 1) happy\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b97df7745fe14b4ab1bad7b08bb2dbf9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY the news. Intent: 1) to harm persony. XEmotion: 1) ashamed\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5620dbadd11f4f59ac2265e3f3fa4d77"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX owes to PersonY's position. Intent: 1) to be resourceful. XEmotion: 1) resourceful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4b871aeed6c4dd3924e9f6c050a8985"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ a look. Intent: 1) to decide which restaurant he wants to eat.. XEmotion: 1) happy.\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-49b855234a484f6dbf7da11d9705bf8a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks ___ for permission. Intent: 1) to keep the conversation going.. XEmotion: 1) informative.\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4089d3b93da844cba2e4f3e0e0dbdee9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX also enjoyed ___. Intent: 1) make sure to get through. XEmotion: 1) anxious\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dbc3c1ecec4a443e8573e788d406834b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes check on PersonY. Intent: 1) move. XEmotion: 1) good\n", "labels": "cared about", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d830b4b54bfa4b5b909e9457f5290f3d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX establishes another ___. Intent: 1) they want to be helpful 2) they are forced to do it. XEmotion: 1) useful 2) happy 3) tired\n", "labels": "affected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b78ef2a6e98f4d388ff6e628f0043a0d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pays PersonY attention to PersonY. Intent: 1) offerd a job to someone who needed it. XEmotion: 1) proud to do something positive for another\n", "labels": "popular", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c39616289b5149ab9fcce356d4ef7504"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives the ultimate pleasure. Intent: 1) to relax.. XEmotion: 1) happy.\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-91959c39d287480984b002ff6c12ad73"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes back in time. Intent: 1) to be independent 2) to stand on ones own two feet. XEmotion: 1) proud 2) strong 3) empowered\n", "labels": "happy to have met a person from the future and learned about the future", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a2e7e7974f7c474fb0b798e0939ab203"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX swings the bat. Intent: 1) to zone out. XEmotion: 1) calm\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ef437e37aa8f42e9b783a157534fdbeb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ a haircut. Intent: 1) spend time with friends 2) feel included. XEmotion: 1) content 2) happy\n", "labels": "happy about how it turned out", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-16e80f7f453440869b98c4f221457bb3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX holds PersonY's ___ in check. Intent: 1) to be with someone 2) wants to help someone. XEmotion: 1) happy 2) embarrassed\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6862e81516c04782a2e63ea1fa4aa5b4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is mother. Intent: 1) to express affection 2) to offer comfort. XEmotion: 1) satisfied 2) safe 3) comforted\n", "labels": "loved by someone", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a15b211873fc4ce9bea071fd73671fec"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds my keys. Intent: 1) relax 2) have fun. XEmotion: 1) fulfilled 2) happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ce62843416fa4672ae1e3ded166b4d68"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to go see a movie. Intent: 1) to perform. XEmotion: 1) creative 2) accomplished\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-04c421a890bb4915a7227d8f896e6659"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's something. Intent: 1) to celebrate with his family. XEmotion: 1) satisfied 2) cooperative\n", "labels": "nan", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9586b88d9d9d40538b794ef52b0d360f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It fits PersonY well. Intent: 1) to carry luggage. XEmotion: 1) good\n", "labels": "well groomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-13b329848882487ca9f8a2f28e29ba07"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY to the game. Intent:. XEmotion: 1) miserable\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c09645ca221f4ba0826e67156d219d2b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts ___ right. Intent: 1) to let the person know that he loves her.. XEmotion: 1) loved\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f35e81dd8ef1418b93941a3f1e622fe4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX activates a shadow over everyone. Intent:. XEmotion: 1) apologetic\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f9fcd9238e004815a5f1f7feeb67c8fa"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX attacks the enemy 's ___. Intent:. XEmotion: 1) happy they understood the problem\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4933033339ec4042a19bb826f2352e43"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY back. Intent: 1) accompolish a goal. XEmotion: 1) satisfied\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-95d9c94658724d488b2042156355e632"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives ___ a speeding ticket. Intent: 1) to make his country more powerful. XEmotion: 1) powerful\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9d4093dcc7874b5cbfcf59ac358b57f4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kills the ___ but can not kill. Intent: 1) to get up.. XEmotion: 1) active.\n", "labels": "traumatised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5fc6390f9160420da66bf5e1a5692753"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sets forth the ___. Intent: 1) to read the paper. XEmotion: 1) informed\n", "labels": "bossed around", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ab6887910bf749e29d8729145c05dac9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings PersonY to tears. Intent: 1) to share the things. XEmotion: 1) job done\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8fd34dab29394faa964426fb43c732b5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes a change. Intent:. XEmotion: 1) nervous.\n", "labels": "reassuring", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4771970a4f884d2fbc73b01ddf15d723"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pulls PersonX's ___ together. Intent: 1) thrilled. XEmotion: 1) relieved\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-166961ca74724db9b44fb964c15886f9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives a small smile. Intent: 1) to have a vacation. XEmotion: 1) relaxed 2) energized 3) invigorated\n", "labels": "greeted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eebaa91977bf4778967fffa2da9f3438"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX throws PersonY a surprise party. Intent:. XEmotion: 1) curious about y\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a99482fe800140dbb31fd3f5d54ab1a3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sets PersonY in motion. Intent: 1) to get a better worker. XEmotion: 1) regretful 2) sad\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-75d31c7c7a564d8592cfc685abdacfa8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys ___ for PersonY's daughter. Intent: 1) to do hardwork 2) to remain fit. XEmotion: 1) fulfilled 2) happy\n", "labels": "blessed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-50f3e97d157e41179fed3f1c8e1fecd5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets a team together. Intent:. XEmotion: 1) like he is severely in need of things\n", "labels": "also excited.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0a09ca7df3444a0eb985bd5247108284"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX springs to mind. Intent: 1) good. XEmotion: 1) happy\n", "labels": "justified.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ba0b3e2a86884b44adebcec7b7b80b42"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays rugby. Intent: 1) to help children. XEmotion: 1) like a good person\n", "labels": "like they have someone to play the sport wtih", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3ef32693cd09436682fe6d9080f806a2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX supplies PersonY's needs. Intent: 1) to share the info 2) to get attention. XEmotion: 1) known 2) popular\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-67893f373d9f4417b3c8144346cc45b8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY's car. Intent: 1) to teach. XEmotion: 1) useful\n", "labels": "upset.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62062d0250554a538e6bd671e3a98ac4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX needs every ___. Intent: 1) to have something to eat. XEmotion: 1) fulfilled 2) full\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2e879bd4357144dc938fd55d2211f72a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX expresses PersonX's ___ openly. Intent:. XEmotion: 1) broken 2) weak\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-362eec0834674566955bd330c02dfe10"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shuts ___ behind PersonY. Intent:. XEmotion: 1) happy\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5dafe46c85f14ef1b12c776921f4ef8d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has a bad reputation. Intent:. XEmotion: 1) caring 2) longing 3) likeness\n", "labels": "irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-10d49fe3044349e1a6f4985b9ae40907"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX expects PersonY attack. Intent: 1) a good employee 2) a bigger staff. XEmotion: 1) welcoming 2) powerful\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b8c08511fbce42b1a88b8034decd808e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stands to reason. Intent: 1) to hunt. XEmotion: 1) sporty\n", "labels": "like theyve heard personxs reasoning", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9288670abcf54f27a96eb0dd3068b077"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX causes ___ later. Intent: 1) to save something or someone 2) to be kind 3) to be frugal. XEmotion: 1) successful\n", "labels": "miserable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2a855232f9e445339b06d62c9e1d8472"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX outlives PersonY's usefulness. Intent: 1) successful. XEmotion: 1) skillful\n", "labels": "they could have done better", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9d2f07da3cbd4d1b9d6459530a6b9be2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX increases women 's ___. Intent: 1) wants more cooperation. XEmotion: 1) accommodating\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-48ecd88f89bd4afdabe4bff7154eb13f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts it in PersonY pocket. Intent: 1) to grow there own food 2) to be active. XEmotion: 1) healthy 2) enjoyment 3) tired\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c30b2e3d0f3645caa81c1010dc950cfe"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX steals PersonY away. Intent: 1) to do social work. XEmotion: 1) proud 2) happy\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30a62a0488c7483ca9e46fadb2118b86"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY seriously. Intent: 1) to be included. XEmotion: 1) happy\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cfb22a5a2cec4e1f8b092bb84a86358e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX serves PersonY well. Intent:. XEmotion:\n", "labels": "satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b0592fa648bf4dea97ae98da64254657"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY had gone. Intent:. XEmotion: 1) overwhelmed. 2) frustrated.\n", "labels": "perplexed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-39b94f750b144e62b4f3a7c85db6ead1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes an announcement. Intent: 1) to succeed. XEmotion: 1) happy\n", "labels": "interested", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-55fe66b56d0c4f65a9217b0b077d3495"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tilts PersonY's head up. Intent: 1) to have money. XEmotion: 1) sad 2) glad for the money\n", "labels": "healthy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e562a511ec9c4b489e0b1006f94788f5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drinks PersonX's health. Intent:. XEmotion: 1) angry\n", "labels": "embarrassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-370f20553e6b4c88b29ec0f4cb8a51c1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is night time. Intent: 1) to bring more people. XEmotion: 1) happy\n", "labels": "stressed out", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3a12dea6613d4772997119fb9bd96dfb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pays PersonX's expenses. Intent: 1) to get something from the store 2) to buy something. XEmotion: 1) tired 2) overwhelmed\n", "labels": "a little embarrassed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-eba39314dd134959b668338711fb11d8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX invites ___ over for dinner. Intent: 1) to solve the problem at work. XEmotion: 1) accomplished and proud that they came up with a solution\n", "labels": "like someone cares about them", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8875c7b564b64b48bd9d8eeee54373f9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls the police for help. Intent: 1) traffic clear the problem. XEmotion: 1) happy\n", "labels": "a sense of duty", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-50c585358b494e5c8d5f2ce62f39fccc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX strikes ___ into the heart. Intent: 1) to dissapear. XEmotion: 1) like he got away with something\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-30e5605c18f74f9797388593ced2714c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX marries for 20 years. Intent: 1) to be polite. XEmotion: 1) cautious\n", "labels": "attached", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62cf6bad597e4f65b470430df352de68"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX selects PersonY object. Intent: 1) happy because the movie was. XEmotion: 1) good\n", "labels": "included", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5d844a0522da4645908e0d8de19edd6f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses sight of PersonY. Intent: 1) to get the job done.. XEmotion: 1) happy it's finished.\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-62e4d59877e146aa8f7dce64b9ccde0d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX improves the ___ and to reduce. Intent: 1) to take care of the mascot. XEmotion: 1) happy 2) worried\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-83be524a4e394f14940c4897b2ce0fa0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY uneasiness. Intent: 1) directs one 's attention in the person. XEmotion: 1) he was very like\n", "labels": "uneasy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-17031a3d6e1d46d58110683daede34d4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets worse. Intent:. XEmotion: 1) scared 2) violated 3) angry\n", "labels": "hurt by his behaviour", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dcfb54ef60904261af0cb20f960f27e5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX challenges ___ to a game. Intent:. XEmotion: 1) satisfied\n", "labels": "happy to have played", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cb5389d0d5d5482b84f8ba8e5cbf5f8b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins ___ at school. Intent: 1) to eat it. XEmotion: 1) happy\n", "labels": "like they showed there admiration", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5f1c2598c016402ab737e2c021096e8f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonY's girlfriend. Intent: 1) to finish his work. XEmotion: 1) accomplished\n", "labels": "happy to have found each other.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-422edfe911c8456b92b524198cc634fc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has a lot of fun playing. Intent:. XEmotion: 1) special\n", "labels": "energetic", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7df10bd5eac24248af32f7dd8b7cd32b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX controls PersonY's lives. Intent: 1) to have their own way. XEmotion: 1) satisfied\n", "labels": "humiliated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-acdff00d17c84f5ab4535539c4d4f1be"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX carries out PersonY's functions. Intent: 1) to express his angst. XEmotion: 1) in control of his life\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5315b16574a044c09d1bdb1875e829b2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX picks PersonY's favorite. Intent:. XEmotion: 1) to play in the sand.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-af06d87826364253b443dd9b09dd7960"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes a ride. Intent: 1) to hear a sermon 2) to be with other people 3) to pray. XEmotion: 1) loved 2) special 3) like they're part of a community\n", "labels": "good.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-affebf736304436ab4fa3d14afac55ed"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pumps iron. Intent: 1) to keep something safe. XEmotion: 1) responsible\n", "labels": "impressed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-52385b8b206847bd8d889d0ec2573fb1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX invites all of PersonX's friends over. Intent: 1) to grab something. XEmotion: 1) accomplished 2) efficient\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-06c8cd2897574d638dfb9f9b0252faef"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tears PersonY apart. Intent: 1) to adopt a dog.. XEmotion: 1) excited\n", "labels": "bad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5e1707036a7041d49207542bb07d81bb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rushes to the hospital. Intent:. XEmotion: 1) curious about the outcome\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-29c9a686a66d4c449f439e45d764bc83"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hits PersonY in the face. Intent: 1) because its required to continue  the service.. XEmotion: 1) satisfied and tension free.\n", "labels": "hurt", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-617582d491734bb98d09ae035eb68c15"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wants PersonY to come. Intent: 1) to be with this person. XEmotion: 1) sad\n", "labels": "happy to see x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ec256a0c9c634d71a8c7d3f70ce8a1b1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sits down beside PersonY. Intent: 1) to have a certain look. XEmotion: 1) well put together 2) happy 3) comfortable\n", "labels": "intrigued", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8a1b094882204952b5976350a5eb7003"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses PersonY's car keys. Intent:. XEmotion: 1) proud\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8a0f9bcd2ad54704811a9b3e69b5c961"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins a tournament. Intent: 1) get more work done than they can 2) get things done 3) accomplish tasks. XEmotion: 1) tired 2) worn out\n", "labels": "proud.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-53f92e7c9e81491a83a82b98af2a250b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonX's friends. Intent:. XEmotion: 1) nervous\n", "labels": "welcomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4342686aacfc48608de56e56e9e05951"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lays down beside PersonY. Intent: 1) to convince other people. XEmotion: 1) expectant\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5f84de12043647eba77255886a6225ad"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX feels closer. Intent: 1) to give a toy to the brother. XEmotion: 1) proud\n", "labels": "loving", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f393be63a9264eb386b5041f0c388858"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys ___ for the children. Intent: 1) to worry about everything.. XEmotion: 1) still nervous.\n", "labels": "happy too", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bfb3b6a799f643ef88ccd5b11bc98d69"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX abolishes the ___ altogether. Intent:. XEmotion: 1) apologetic 2) giving 3) bad\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b00cb2ddb7764e76a24cf4245ccbb8b8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has fun playing. Intent: 1) to have a good time.. XEmotion: 1) refreshed and relaxed\n", "labels": "glad he enjoys spending time with them", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e4fd968307884a45a9d88c4a9f1e5138"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes notice of PersonY. Intent: 1) to be with their freinds. XEmotion: 1) tired\n", "labels": "possibly honored", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7d0f312819094952bf90b0af9df98f83"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sells ___ online. Intent: 1) to tell his girlfriend something quickly.. XEmotion: 1) excited.\n", "labels": "fulfilled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c71c375ff9574a078e5e4953e2763cc7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps PersonY afloat. Intent: 1) to play 2) to have fun 3) to get out of the house. XEmotion: 1) anxious 2) eager\n", "labels": "important", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bdc068c2cccf460c83cb4dc4396d29a9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wraps PersonY's arms around PersonY's waist. Intent:. XEmotion: 1) nervous\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-02b29c6ed8fc49ec98e1533657e78f87"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX kills PersonY's children. Intent:. XEmotion: 1) happy\n", "labels": "horrible", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5fa5008c5fc34b5b9e9804c7b1c4861c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX loses PersonX's ___ for PersonY sake. Intent: 1) persony to be a good person 2) persony to not get in trouble 3) persony to be moral. XEmotion: 1) worried 2) hopeful 3) concerned\n", "labels": "grateful for personxs protection", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0d5c63ad2bbe4e9fa9d4529a1182389f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pats PersonY on the shoulder. Intent: 1) extra fine. XEmotion: 1) great\n", "labels": "cared about.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0002be8699474fd586ba4f315416ea96"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX stays ___ with PersonX's children. Intent: 1) to cover for y. XEmotion: 1) obligated\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-545a24e542604beda124cf868968d71c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX introduces PersonY to the cool kids. Intent: 1) his son to learn new things in the competitive world. XEmotion: 1) unhappy 2) lonely and nervousness\n", "labels": "grateful and happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-90131e9e6a6c41ff86b774e61745d4d3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX returns to PersonX's homeland. Intent: 1) to help. XEmotion: 1) good about themselves\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-93304342b1ae48c38d502f20bb11f3b6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets the dirty water off PersonX's chest. Intent: 1) to make friends. XEmotion: 1) athletic\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-782d33118a1f4e1997dd33470246d535"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is a good deal. Intent: 1) to learn about god.. XEmotion: 1) spiritual.\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-08e1b894473046b99067563dcef7ba16"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX appears out of nowhere. Intent: 1) inform them of an infraction. XEmotion: 1) like he is doing his job\n", "labels": "shocked", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8ca5dd9720d14c519fc5629f48dbc1bc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends an email. Intent:. XEmotion: 1) unhappy about it\n", "labels": "communicated with", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6e38ce119e994506ad5140f3891bd8b9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys a new pair of pants. Intent: 1) to be supportive 2) to lend assistance. XEmotion: 1) proud\n", "labels": "jealous.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fc0d9509588244b69bb36e390b0d8acc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX blows up PersonY's phone. Intent:. XEmotion: 1) paniced\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-aa206d41a9fa421188a6d87e8a99e1ce"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX works well. Intent: 1) to be a leader to all the land. XEmotion: 1) responsible for his people\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-98cb90da046f4f2eb0eeba1188b224c6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY's clothes. Intent: 1) to have more comfortable footwear. XEmotion: 1) happy\n", "labels": "appreciative.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0c85c76cc58c4d7daa892b6e995487bd"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX starts toward PersonY. Intent:. XEmotion: 1) happy\n", "labels": "fear", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c8234edc3c42452898567ea4f259cd4d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX watches ___ after school. Intent: 1) force something. XEmotion: 1) powerful\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-29db941911f44b81bc16ae397c924036"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps PersonY sane. Intent:. XEmotion: 1) nervous 2) scared 3) worried\n", "labels": "rescued", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-375967b417f24476a8f573f621cae57a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It gathers around. Intent: 1) to achieve an accomplishment. XEmotion: 1) happy\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8953b293384b4851949b98445cf64bca"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses PersonY expression. Intent: 1) to get a boost. XEmotion: 1) energetic\n", "labels": "helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4ccb93a158014e208d33ab1807a40b0b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX belongs to PersonX's father. Intent: 1) to show they are okay 2) to seem alright 3) to look normal. XEmotion: 1) normal 2) fake\n", "labels": "happy to have a child.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dfc6393b23c44b989bbafec968a40b25"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX turns the tables. Intent: 1) to chat. XEmotion: 1) happy\n", "labels": "defeated.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b64d0f2d1e0f4644988057197c617f95"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is learning to drive. Intent: 1) to take responsibility 2) to live good 3) to be a politician. XEmotion: 1) grateful 2) satisfied 3) happy\n", "labels": "cautious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-88a13d0751164e609579812e194bd4bc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes love to PersonY. Intent: 1) to be a good worker 2) to keep a job. XEmotion: 1) successful 2) adequate\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cee52adae97d4e24a9af4967afe79169"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX files PersonY's taxes. Intent: 1) change the color. XEmotion: 1) happy\n", "labels": "thankful for being helped", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7e780120f7814308b8a94f8d62875e40"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX raises PersonY's arms. Intent: 1) to help their pet 2) to be informed 3) to learn. XEmotion: 1) informed 2) concerned 3) relieved\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-767f03a610a84ba3bf93b12c42631dfb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls by PersonY's name. Intent: 1) to make a good living for their family 2) to have money for retirement. XEmotion: 1) secure but frustrated\n", "labels": "friendly", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3b194c522a8a4d37bfaae82510a2f9ef"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lives in PersonY's house. Intent: 1) to be successful in something. XEmotion: 1) they have mastered something\n", "labels": "happy.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-be0da8d11bea4cf9bd9d82ba1cdf3e90"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX picks a fight with PersonY. Intent: 1) to make money. XEmotion: 1) excited 2) grateful\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6c05327cbd9f4ffb96f3289d4c125c69"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets ___ away. Intent:. XEmotion: 1) apprehensive\n", "labels": "safe and happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-c3da2e6fbd944e6a95f54b0b77082cf6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes away PersonY's ___. Intent: 1) to inform others. XEmotion: 1) satisfied\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ea92307889e145e89ade11b330f025de"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets amongst it. Intent:. XEmotion: 1) excited 2) good about themselves\n", "labels": "assisted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d888dd1805304aa996748bc031d5fdc6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a minute. Intent: 1) to be successful in the mission. XEmotion: 1) accomplished\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e60231ffbce5466abfdbeb1c0ad8cf32"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gathers together the ___. Intent: 1) to try something new 2) to learn something. XEmotion: 1) happy 2) empowered\n", "labels": "curious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a365008de2064b0d9c992901008e8997"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX joins PersonY's band. Intent: 1) to burn off energy. XEmotion: 1) calm\n", "labels": "interested", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fb2a381ffd00441fa7cbcba245ca4b6d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It ends the day. Intent: 1) to be understood. XEmotion: 1) understood\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7c6ba2b6cebd4c2e9c6c32b6899e9313"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX excludes ___ from the territories. Intent: 1) perform a show 2) lecture 3) give a speach. XEmotion: 1) satisfied 2) happy 3) nervous\n", "labels": "rejected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-192aa15ebbc64aeb94239f7ba522e166"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wins the grand prize. Intent: 1) to express their opinion. XEmotion: 1) good about themselves 2) satisfied\n", "labels": "also happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-562a400aa0bd4d8a80ce9d07730124fb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX packs PersonY's things. Intent: 1) save money. XEmotion: 1) happy\n", "labels": "powerless", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-844dcdf86bfa4662bd41c9a6fa20e9b3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lies behind PersonY. Intent: 1) to get off 2) to stop. XEmotion: 1) relieved 2) tired\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f55d186f80c747429fbbee55d6452b57"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds love. Intent: 1) to be nice. XEmotion: 1) good about themselves\n", "labels": "she feels wanted and satisfied", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-79c4513f705f49a6ace46bb35ac32786"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sells PersonY's car. Intent: 1) to show appreciation. XEmotion: 1) generous\n", "labels": "glad they bought a good car from x.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8bfbc2927f6d4062a59cdb2d608d4acc"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX forgets PersonY's name. Intent:. XEmotion: 1) like they have a cut that needs extra help healing\n", "labels": "awkward", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-61dcebb21c5045b7a5f9442d8cba5db9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes pizzas. Intent: 1) to clear his view 2) because person's hand is blocking. XEmotion: 1) satisfied\n", "labels": "thankful for personx", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-35087314a575455ba0b92847457fdafe"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX protests too much. Intent: 1) to irritate someone. 2) to annoy someone.. XEmotion: 1) bad 2) shameful 3) regret\n", "labels": "irritated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d3672e751bab4841a86295cea4cd721b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX uses PersonY language. Intent: 1) to be nice 2) to set an example. XEmotion: 1) happy 2) satisfied\n", "labels": "pleasantly surprised", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ae11ba2254494b78a4ddc3a167685b46"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is going to be fired. Intent:. XEmotion: 1) defeated\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5128dbba77ce4889b3cc22c82ba31a54"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a report. Intent: 1) to expand musical abilities. XEmotion: 1) like he accomplished something\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bd77d48150314674a5a50b59dc6fcc25"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX returns to PersonY's house. Intent: 1) to be heard. XEmotion: 1) expressive\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-26d74a96da0d4122bb02ca4f33b45207"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX believes my eyes. Intent: 1) to have fresh milk 2) to get their chores done. XEmotion: 1) productive\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-224ff9f88e7440fdaf0f22274d5c0205"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY a pep talk. Intent: 1) to hurt persons feelings. XEmotion: 1) like a bully\n", "labels": "supported", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-15499473e43c4462a0110cead5b402c6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It tastes okay. Intent: 1) to be home. XEmotion: 1) relieved\n", "labels": "disappointed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-63949b1c5de749f5a4a1eaa1483fb7d5"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX smiles happily. Intent:. XEmotion: 1) ashamed\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a75f83872e374507b7822b2e4934b8b7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX offers ___ on this book when ordered. Intent: 1) to ensure their saftey. XEmotion: 1) relief\n", "labels": "happy to be able to afford their favorite novel.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dbddff92f5f24920a6af8d97c2f4fdec"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX undergoes PersonY operation. Intent: 1) to be evil. XEmotion: 1) angry\n", "labels": "relieved its over", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7e2943122e1e43f59e0ad195216bd96a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX calls PersonY mother. Intent: 1) a good reputation. XEmotion: 1) vindicated\n", "labels": "happy proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-436519dbf60c416884533476d8100e60"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX bites PersonY's lip. Intent: 1) finish his loose ends up. XEmotion: 1) stressed out\n", "labels": "hurt and in pain", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-05ac074824d6457b9cef9ea07c5041f4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonX's daughter. Intent: 1) to be helpful. XEmotion: 1) generous\n", "labels": "socialized", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dc4a5cd43bbe439caeab181a99ea1592"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to become a teacher. Intent: 1) to eat some food 2) to take a note of what to purchase 3) to ensure food for visitors. XEmotion: 1) responsible and eager\n", "labels": "admiring", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9077bd1d9f3f4126827d8e3fa6d82531"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is running late. Intent: 1) to have fun 2) to be in nature 3) catch dinner. XEmotion: 1) entertained 2) exhilarated\n", "labels": "frusterated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-06619f6305194d76a30bd2e9e785a537"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX leads PersonY into the room. Intent: 1) get a haircut. XEmotion: 1) better happy\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7d709b1be4854279824c0bb4c6be850d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX conducts PersonY interview. Intent: 1) fear. XEmotion: 1) bad\n", "labels": "exhausted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d1a696c4e7864b0795e3e38043016bf2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows PersonY's value. Intent: 1) to feel better. XEmotion: 1) relieved\n", "labels": "proud", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e7f10a1f868240e287555ac765954e28"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX pulls ___ firmly against PersonY's. Intent: 1) to get there. XEmotion: 1) tired\n", "labels": "warmth", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e87e83f2b1b54af5af5beea194fd1308"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is in first grade. Intent: 1) to be loved. XEmotion: 1) happy\n", "labels": "glad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9bab92fe7ca54069a02f7fe61719cf60"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits PersonY's grandfather. Intent:. XEmotion: 1) good\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3918e5df14994cb0b6a30c829dca0c64"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX lets ___ inside. Intent: 1) to remove hat because it's warm out. XEmotion: 1) cooled down\n", "labels": "welcomed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f3e6d956bb894d43aed0e47c84e94085"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sets the thames on fire. Intent: 1) prepared 2) ready. XEmotion: 1) relief 2) tired\n", "labels": "mistreated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-883c9135ac7149f7b3586c76fd5900ac"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sends word. Intent: 1) a new car. XEmotion: 1) really excited\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ec39008191274163bff51797644a915f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It is n't good enough. Intent: 1) to help persony. XEmotion: 1) happy 2) good about themselves 3) satisfied\n", "labels": "bad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-12e4d082f96640c489cc58cbd3163c7e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX dies PersonY's hair. Intent: 1) to inform the situation to person y who cannot see. XEmotion: 1) happy and helpful\n", "labels": "excited to have new hair color", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d3c289fbfeb0439abee9373963b0afa3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drinks PersonY's coffee. Intent: 1) to save him. XEmotion: 1) contented\n", "labels": "angry", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-978de3a55420490998b255fb1f814a58"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hangs PersonY's head. Intent:. XEmotion: 1) thankful 2) relieved\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-de1dbc46b4ad4895b4b1864f6815f5e7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX shares PersonX's experiences. Intent: 1) to always be right. 2) everything his way.. XEmotion: 1) lonely 2) isolated 3) frustrated\n", "labels": "intrigued", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-bfc36aa824cd4b0dbd5e2dea51fee67c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes ___ for PersonY's boyfriend. Intent: 1) to make person y laugh.. XEmotion: 1) happy.\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b490dd4cbbe4411ea891ee3a37446991"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX works quickly. Intent: 1) to be done in the bathroom. XEmotion: 1) indifferent\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a97398e07fd14deb837e0428b82d3aec"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX slips PersonY's hands. Intent:. XEmotion: 1) sorry\n", "labels": "desired", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-02d66e9762f241359466ec00f0e80e3d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX manages PersonY's ___ in PersonX's way. Intent: 1) to be adaptable. XEmotion: 1) flexible\n", "labels": "indignant", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a06f4ac7acbf4c6cb3a1df689cb9f6e8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX celebrates PersonY's victory. Intent: 1) determine the ability of person. XEmotion: 1) excited\n", "labels": "ecstatic", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-13b71446c43a410e8f0a2e0f279edd63"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX puts PersonY to shame. Intent: 1) to convince. XEmotion: 1) convincing\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b60bf79391ed4356bc09f7f5831beead"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX creates PersonY situation. Intent:. XEmotion: 1) sad\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0400e3cbf2f348758e5fd939032648d4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes PersonY at home. Intent: 1) to celebrate 2) to make a toast 3) a glass of wine. XEmotion: 1) excited 2) happy 3) relaxed\n", "labels": "happy and grateful.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f99dc055585a4681921afba9b14bda45"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonX's girlfriend. Intent: 1) to be happy. XEmotion: 1) satisfied\n", "labels": "sociable", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f908c39b70154a1fafddefa27ff89020"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays ___ well. Intent: 1) to save money. XEmotion: 1) proud\n", "labels": "impressed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ef1e925b34af4f5ca71590c0d195444b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX wastes PersonY's ___ with living. Intent: 1) to safeguard it. XEmotion: 1) anxious about its safety\n", "labels": "personx is a criminal", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7d72c923056942768a493e1759330016"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It rains outside. Intent: 1) to use their phone 2) to be helpful. XEmotion: 1) helpful 2) grateful\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-66e45396c564427b9fc5b8de891c8d04"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets PersonX's gun. Intent: 1) to have company. XEmotion: 1) happy to have a friend along.\n", "labels": "stolen from", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-da713901cc3a46a695d243811c70798d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has PersonY by the short and curlies. Intent: 1) to have fun. XEmotion: 1) happy 2) delighted\n", "labels": "like a peasent.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-89e6183b18e5426bab8a0dcee930b9a6"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX watches ___ last night. Intent: 1) to support persons neck.. XEmotion: 1) supportive.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d37b3d83aae540d5a1d4807d6e4f9f23"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX plays games with PersonY. Intent: 1) to see his wife.. XEmotion: 1) happy.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4f403fffb86a45b1ad82d5ab1b0603bb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX knows much. Intent: 1) to be helpful. XEmotion: 1) responsible\n", "labels": "intimidated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-04efac0df321452cb83f1bd18e7ed85c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX rides PersonY's motorcycle. Intent:. XEmotion: 1) good 2) grateful\n", "labels": "glad to help", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-84ad70bfd32c4e1ba97c893fa3f43c76"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hugs PersonY tight. Intent: 1) to be involved. XEmotion: 1) involved\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-46c8c4b8c08c4d409cb9c0f5f0b0829e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX assists PersonY in making. Intent: 1) to show her a picture. XEmotion: 1) good 2) happy\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-392ff9965e1147ebad7ef97267132aa9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes see the doctor. Intent: 1) to get home. XEmotion: 1) exhausted\n", "labels": "tired", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6485c85254e54e68bea0fb94370352c9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX would see PersonY. Intent: 1) to be liked 2) to have money. XEmotion: 1) lonely 2) isolated\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-dc11e13ef4224958926cf1fe9be32844"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finds PersonX's mom. Intent:. XEmotion: 1) sad that he/she broke someone's possession.\n", "labels": "cherished", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-554eeab8f345462f82ea903c2dcc81f1"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees ___ often. Intent: 1) to eat. XEmotion: 1) full happy satisfied\n", "labels": "glad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0cb467c392784195b50cd18163ab9fb7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX brings ___ to school. Intent: 1) to show feelings. XEmotion: 1) happy\n", "labels": "interested.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e01bf17caa6a4a3d8bf491f22843bd15"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX finally turned. Intent: 1) to spread the time out. XEmotion: 1) responsible\n", "labels": "disgusted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b4bd24c39b4444d49f27edde7796b6c7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes the reins. Intent:. XEmotion: 1) unhappy.\n", "labels": "inferior", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9725026a75ae4723a4ef27d8bac5023c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes the fifth. Intent:. XEmotion: 1) satisfied 2) empathetic 3) congragulatory\n", "labels": "ill-informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-23aff5aa9c084101b32e9739269f35a2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX checks PersonY's pockets. Intent: 1) to help person y get healthy. XEmotion: 1) responsible\n", "labels": "nervous", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d3ac01a2225142a29b33c84ad92761a7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is loud and annoying. Intent: 1) to pose for a picture. XEmotion: 1) good\n", "labels": "annoyed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b2be832f45a6467697cfe4360217b5d3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ in the battle. Intent: 1) to gain knowledge. XEmotion: 1) more informed\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-58d31a73ca5c427ca71154074b1e1e81"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX huddles together. Intent: 1) to help other people and save lives. 2) to further themselves in regard to career advancement. XEmotion: 1) they feel accomplished 2) they feel confident\n", "labels": "united", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ea52070a74ec47aca035de923f467d26"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX enjoys each other 's company. Intent: 1) to help person y. XEmotion: 1) helpful.\n", "labels": "also happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6d11bd75818048f3987a300f1ca4a365"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX helps PersonY's mom. Intent: 1) to be in shape. XEmotion: 1) tired\n", "labels": "grateful for the help", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-af892b8b13d14ebd90740945a330536b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes to the store with PersonX's mother. Intent: 1) to have his own apartment.. XEmotion: 1) encouraged.\n", "labels": "annoyed having to drag personx with them.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a9a55dfdc5c54909b37c1c3f29a853e7"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is late to class. Intent: 1) the person was good. XEmotion: 1) impartent feels\n", "labels": "aggravated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-ea70efcaeb0d4eebbad5d2f7fb116dc4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX teaches children ___. Intent: 1) a new bird. XEmotion: 1) loving\n", "labels": "smarter after his class", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4cbc91b2d71a428a96eb91972652ee47"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sits in PersonY's chair. Intent: 1) to show his/love. XEmotion: 1) happy\n", "labels": "annoyed because their chair was taken", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4afde5ab631f4ee69b30c086bf5878b8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It takes shape. Intent: 1) to be a sober driver. XEmotion: 1) safe 2) helpful\n", "labels": "hopeful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0be9a2d8d9454ee1868663ff1699b4e0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX reaches PersonX's year. Intent: 1) to be clean. XEmotion: 1) clean 2) fresh\n", "labels": "neutral", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-3fdb63f20d3c40a59178c7fc43946f64"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX suddenly stopped. Intent: 1) to be healthy 2) to get in shape. XEmotion: 1) good about themselves\n", "labels": "startled", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9d3b56902e084dbf984056a9be9be2b0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX establishes the ___ on earth. Intent: 1) his teeth to be healthy 2) to fix a toothache 3) to have cosmetic work. XEmotion: 1) relieved 2) satisfied 3) content\n", "labels": "protected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-270ea1e5fe1849f782e6e3fc8300ce9f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX would stop. Intent: 1) to be redressed. XEmotion: 1) vindicated\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cd3f8fb24f324264be2e541966088a2c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX balances the books. Intent: 1) to be helpful.. XEmotion: 1) grateful\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2efe6cfacd7f4d78ab11c931db6dab78"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY's time. Intent: 1) to have an education 2) to be happy 3) to be intelligent. XEmotion: 1) satisfied 2) happy 3) intelligent\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0b05fd1771b746aebd74aac194a1cf1b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's boss. Intent: 1) to serve healthy meals. XEmotion: 1) contented with himself\n", "labels": "well informed.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-29f6d29ee1ea4b9ca1d24da16e106798"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX removes PersonX's hat. Intent:. XEmotion: 1) hope 2) success\n", "labels": "content", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5ce4d8fbcdcd40b2b12d19b022e397d4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX says PersonY's goodbyes. Intent: 1) to be responsible.. XEmotion: 1) satisfied.\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a2e3d6e9c0d04b0e856ef09674dc3367"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX assists the ___ in the manner. Intent: 1) to show they are right. XEmotion: 1) superior\n", "labels": "thankful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-da395082cf014a3a9f94e621427ac66a"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX feels a lump. Intent: 1) get it done. XEmotion: 1) re leaved\n", "labels": "sad and anxious", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e264a01459b0481f9e82ab582810b039"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX keeps a cool head. Intent: 1) to reach a target audience.. XEmotion: 1) happy\n", "labels": "relieved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e6e5a184027b48c180d7a7d0569d975b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:It tastes odd. Intent: 1) revenge. XEmotion: 1) regretful\n", "labels": "disgusted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-38c74fc8deef49ed8554b2bd6c53c8f8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sets eyes on PersonY. Intent: 1) to have the dog urinate outside. XEmotion: 1) pleased\n", "labels": "wanted", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-8073ce7d5fb64558922afa60287a2917"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX realizes PersonY forgot PersonX's wallet. Intent:. XEmotion: 1) hot 2)happy\n", "labels": "worried", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-5db963e385aa4b2bacac7ae9dc2f5d3f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys PersonY drinks. Intent: 1) to live in a large city 2) to experience the big apple. XEmotion: 1) courageous 2) satisfied\n", "labels": "grateful", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b104ae3d55684a25ba0752084151275c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX enters a marathon. Intent: 1) to woo persony. XEmotion: 1) hopeful\n", "labels": "also productive", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fb459b1f21484684bb07582b2e5208e3"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets a lot better. Intent: 1) to let him know. XEmotion: 1) positive\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-7327b1a57ad749529285946ff1f94898"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX makes some friends. Intent: 1) a clean space 2) to be helpful. XEmotion: 1) gratified\n", "labels": "they are forming a close little group", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4ea722ac5d3c4052bac4e8d04dfe18d9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX owns a farm. Intent: 1) to welcome him. XEmotion: 1) happy to have him home\n", "labels": "eager.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0aaa6680025c4afd8f4b6b21195f6f44"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX has PersonY's hide. Intent: 1) to be more trendy.. XEmotion: 1) more in style.\n", "labels": "weak", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-efe7a405f48b4da0bfe27717d0ddec32"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX buys ___ for the kids. Intent: 1) to get drunk. XEmotion: 1) drunk\n", "labels": "entertained by it", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1eec712e406947a580b99311f4461ebf"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX drives anyway. Intent: 1) to  setting of teeth. XEmotion: 1) good\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-9c02adbd69ea42d19f5428af31c9d957"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gives PersonY credit for. Intent: 1) to travel. XEmotion: 1) relieved\n", "labels": "recognized", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-781dbb70aecd4f4d90fcbfe885b8e0d0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX goes every weekend. Intent:. XEmotion: 1) very sorry\n", "labels": "glad to see person x.", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-6d1f97b32a854752a4934a63a785f5e8"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX does ill. Intent:. XEmotion: 1) nervous for being late.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-df6901aa2d5b4873b789c26129a9c17d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is cooking dinner. Intent: 1) to escape the situation 2) to get out of dodge 3) to run to safety. XEmotion: 1) relieved 2) happy\n", "labels": "excited", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a139dfd3a10444df8e72579c918a059b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX visits a farm. Intent: 1) to make sure he obtains every possible point of view on some subject. 2) to be certain that he has everyone's undivided attention. 3) he has involved as many diverse viewpoints as possible.. XEmotion: 1) that he's been as thorough as can be. 2) satisfied that he's explored as many options as he can. 3) that varied feedback from a variety of sources is definitely to his benefit.\n", "labels": "like their trade is appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-b473e4356eb34b93a803996f2e4ab6b4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX sees PersonX's boyfriend. Intent:. XEmotion: 1) pain.\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-23ab73ac78464abfac9363ffa72c5d53"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hardens pharaoh 's ___. Intent: 1) to help 2) to assist 3) to teach. XEmotion: 1) helpful\n", "labels": "scared", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0554a5a9e7cd447d83d9b2ab85029df4"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX provides ___ to the people. Intent: 1) to be at his home on time. XEmotion: 1) safe and comfortable\n", "labels": "thankful for the help", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cbfa6cab90b4402ebaa04f8e0012c2e9"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ together. Intent: 1) to be strong 2) to be attractive. XEmotion: 1) pumped up\n", "labels": "appreciated", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-d6c34b28601f4f97a24538d10f05398e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX tells PersonY's family. Intent: 1) wants to disguise their identity. XEmotion: 1) sneaky 2) good\n", "labels": "sad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-29d1f765135e41bbaa49a63c3fd30c39"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX hits a parked car. Intent: 1) there hungry. XEmotion: 1) full\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-cb3cf0751d254334b33b8aa4a9d65380"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX raises and support ___. Intent: 1) to curb hunger 2) to satiate anxiety. XEmotion: 1) full\n", "labels": "loved", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-088e6f4883c54006a1dd96d3b627c03c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX always beats. Intent: 1) everyone to know the truth. XEmotion: 1) relieved\n", "labels": "scared and upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fdd7fa1950014bee87a2e278879a2e5f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX asks PersonY to sit. Intent:. XEmotion: 1) rushed 2) bad\n", "labels": "focused", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-1775968dace94edebc29f2b92a6a5843"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX decides to propose to PersonY. Intent: 1) to complete the project 2) use his managerial powers. XEmotion: 1) powerful and happy\n", "labels": "happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-2c951b8b9dea427db10b26078a4be86c"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX gets in touch with PersonY. Intent: 1) more money 2) a better position. XEmotion: 1) greedy 2) good\n", "labels": "informed", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-0998ad7e7fd843d6845cafe1571404eb"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX is at a friend 's house. Intent: 1) honor their country 2) honor their state 3) honor their event. XEmotion: 1) proud 2) happy 3) respectful\n", "labels": "social", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-4ad47f1541054e8ab8225983096385c2"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX establishes relations with PersonY. Intent: 1) to help out 2) to provide information. XEmotion: 1) satisfied 2) helpful\n", "labels": "happy to meet them", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f1972eed69a04c2a8425bc7e4b7f7b3d"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX trains for a marathon. Intent: 1) and loves persony's way. XEmotion: 1) blithe and captivated\n", "labels": "disappointed that they lost", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-f36941a66b89490b91d112ba3304ffc0"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX throws a wobbly. Intent:. XEmotion: 1) scared 2) concerned 3) upset\n", "labels": "upset", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-712d85bf0a8944279aca77a60731ef52"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX eats the ___ with PersonY disciples. Intent:. XEmotion: 1) powerful 2) wild\n", "labels": "glad", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-98322f23ae68488fbe71e75ec7d2b887"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes ___ to a bar. Intent: 1) to be perfect. XEmotion: 1) scared\n", "labels": "good", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-e6a08a7737f64fb7a280e3dbc0d13a9f"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX takes PersonY approach. Intent:. XEmotion: 1) burnt 2) hurt from the sun 3) in need of aloe\n", "labels": "happy to be respected", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-19fe49e0c6884331a24d07cad8df631b"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX packs up PersonY's stuff. Intent: 1) to be pretty. XEmotion: 1) beautiful\n", "labels": "resentful at x", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-a82dd6c33286435288399852093ae91e"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX outweighs the ___ to the fetus. Intent: 1) to impress others. XEmotion: 1) desired\n", "labels": "less worried", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-fa90266a63d94fd3a9ec8f47d8535d89"}, {"text": "Definition: You are provided with an \"Event\", \"Intent\" and \"XEmotion\" (PersonX's reactions for the given \"Event\"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None\nInput: Event:PersonX looks in PersonY direction. Intent: 1) to fully understand what happened. XEmotion: 1) manipulated and foolish\n", "labels": "very happy", "task_name": "task924_event2mind_word_generation", "task_category": "misc.", "id": "task924-26d7159e99da4b90b4bb9543c81b3798"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: for not even a brook could run past\n", "labels": "missus", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-9076929720024265b354f0e853ac0dc0"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: they seem contented enough but then i suppose they're used to it a body can get used to anything even\n", "labels": "to", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-c6b611cd327844a8b9f4db41ba88a4cc"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: set about on one side with\n", "labels": "great", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-bfe5ce361f44469e9bacc4500bb41357"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: whence you got a glimpse of the bloom white cherry trees in the left orchard and nodding slender birches down in the hollow by the brook was greened over\n", "labels": "by", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-17ca491a587042a89e92f01ac85ae923"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: it's so seldom matthew sets his mind on\n", "labels": "anything", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-fec5a87c668d46af9c59a932b86df410"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: only don't say i didn't warn you if he burns green gables\n", "labels": "down", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-acef6654345d48069f94e24ce49b53d7"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: missus rachel would have liked to stay until matthew came home with his imported orphan but reflecting that it would be a good two hours at least before his arrival\n", "labels": "she", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-09e394192ea7419fa2467e7ee3e79a4f"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: and missus rachel dearly loved to make a sensation so she took herself away somewhat to marilla's\n", "labels": "relief", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-8d356dff23e04b92833d7e2a331f2f2d"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: it does really seem as if i must be dreaming well i'm sorry\n", "labels": "for", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-b3533bf9dc3647c4ba9d502fe2096554"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: the five thirty train has been in and gone half an hour ago answered that brisk official but there was a passenger dropped off for\n", "labels": "you", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-eeaf6f73ca794f6586f9946b3fcfcd51"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: i don't understand said matthew helplessly wishing that marilla was at hand\n", "labels": "to", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-736da9dd0d924ce4818fc2beab8b4738"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: was so ludicrously afraid matthew however was spared the ordeal of speaking first for as soon as she concluded that he was coming to her she stood up grasping with one thin brown hand\n", "labels": "the", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-eb93e5a984fa451a815acbda51d15068"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: i had made up my mind that if you didn't come\n", "labels": "for", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-3e5c53d65cf84092b8bc8b99cff33af2"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: we've got to drive a long piece haven't we missus spencer said it was eight miles i'm glad because i love driving oh it seems so wonderful that i'm going to live with you and belong to you i've never belonged to anybody not really but the asylum was the worst i've\n", "labels": "only", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-cef93dc92e2d427db5268953bafb3999"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: i've never seen one but i can imagine what she would look like i don't ever expect to be a bride\n", "labels": "myself", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-13d2d96b59f3466e92c0b56ca995c962"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: she said she hadn't time to get sick watching to see that i didn't fall overboard she said she never saw the beat of me for prowling about but if it kept her\n", "labels": "from", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-bac1a880c24d455a92fdce46ad044bbb"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: chapter ninety nine the law\n", "labels": "we", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-9221a530465143af85091b224052f104"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: an expression which seemed to imply that she understood all her mother's amorous and\n", "labels": "pecuniary", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-4ee1e0a9759b419a8692f991e9c93b62"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: after which they desired me to\n", "labels": "leave", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-852b9d4324764bd7b77df4665e43eafa"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: at nine o'clock next morning she arose and\n", "labels": "without", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-81a40b5bfc68459e8828ad61c15980e1"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: where do you come from oh this is too much madame these are my orders excuse me your name\n", "labels": "the", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-b45b87d9c9d746ceab971ae5074729c6"}, {"text": "Definition: Predict the next word given an incomplete English Sentence.\nInput: possibly\n", "labels": "madame", "task_name": "task963_librispeech_asr_next_word_prediction", "task_category": "text_completion", "id": "task963-edae762314fd4b9b9166926bd43fc5aa"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: and that if she noticed anything odd or out of place she would never rest until she had ferreted out the whys and wherefores thereof there are\n", "labels": "plenty of people in avonlea and out of it who can attend closely to their neighbor's business by dint of neglecting their own", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-7beaf5eb5c22404db0342f000d95bcd1"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: as avonlea housekeepers were wont to tell in awed voices and keeping a sharp eye on the main road that crossed the hollow\n", "labels": "and wound up the steep red hill beyond", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-f5397dc1582b4b9c8bbec4b1eb6104b2"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: whence you got a glimpse of the bloom white cherry trees in the left orchard and nodding slender birches down in the\n", "labels": "hollow by the brook was greened over by a tangle of vines here sat marilla cuthbert when she sat at all always slightly distrustful of sunshine", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-b9ab4141b4304468a581c330799794ed"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: and here she sat now knitting and the table behind her was laid for supper missus rachel before\n", "labels": "she had fairly closed the door", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-f72653cf26b947e3aa6af35a019bb21c"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: she was actually stricken dumb for five seconds it was unsupposable that marilla was making fun\n", "labels": "of her but missus rachel was almost forced to suppose it are you in earnest marilla she demanded when voice returned to her yes of course", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-8121ac36b6e84b13bd644d1002508558"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: marilla and matthew cuthbert of all people adopting a\n", "labels": "boy from an orphan asylum well the world was certainly turning upside down she would be surprised at nothing after this nothing", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-32bf36353808493f9c29efa90a20fc58"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: they may be all right i'm not saying they're not but no london street arabs for me i said give me a native born at least there'll\n", "labels": "be a risk no matter who we get but i'll feel easier in my mind and sleep sounder at nights if we get a born canadian", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-379b23e805b24679ae2b56fca150c244"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: so in the end we decided to ask missus spencer to pick us out one\n", "labels": "when she went over to get her little girl we heard last week she was going so we sent her word by richard spencer's folks at carmody to bring us a smart likely boy of about ten or eleven we decided that would be the best age", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-b681a98f1ec44b64ba8340c8eb86d5bf"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: so matthew went to bright\n", "labels": "river to meet him missus spencer will drop him off there of course she goes on to white sands station herself missus rachel prided herself on always speaking her mind she proceeded to speak it now having adjusted her mental attitude to this amazing piece of news", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-ebccd43eee0c4a4da78de4e13fbb3630"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: only don't say i didn't warn you if he burns green gables down or puts strychnine in the well i heard of a case over in new brunswick where an orphan asylum child did that and the whole family died in fearful agonies only it was a girl in\n", "labels": "that instance well we're not getting a girl said marilla", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-0694f9ae4e7e4139a4acb5817e455296"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: might have seen that the chin was very pointed and pronounced that the big eyes were\n", "labels": "full of spirit and vivacity that the mouth was sweet lipped and expressive that the forehead was broad and full in short our discerning extraordinary observer might have concluded", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-8a2f7d4fa4d1438ea1a314b55389cfeb"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: i suppose you are mister matthew cuthbert of green gables she said in a peculiarly\n", "labels": "clear sweet voice i'm very glad to see you i was beginning to be afraid you weren't coming for me", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-93710241beef4a05ab68c2cdc5f421e1"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: i had made\n", "labels": "up my mind that if you didn't come for me to night", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-b8b47403dd2d4b2f836a483260f6c5b2"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: oh there\n", "labels": "are a lot more cherry trees all in bloom this island is the bloomiest place i just love it already and i'm so glad i'm going to live here i've always heard that prince edward island was the prettiest place in the world", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-5a6399eaa5954fd6be0207b92f687774"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: and\n", "labels": "although he found it rather difficult for his slower intelligence to keep up with her brisk mental processes", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-73c50fdbd8c84c519306b4436c7f0919"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: unfortunately in this world of ours each person views things through a certain medium and so is prevented from seeing in the\n", "labels": "same light as others and madame danglars therefore very much regretted that the marriage of eugenie had not taken place", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-7a929ee6241a467086bbc6b346a2169f"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: still when he recollected the independent proud spirit\n", "labels": "of eugenie he positively rejected it as utterly impossible though the same thought again continually recurred and found a resting place in his heart tea play", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-7051a5025fd544cda48f9326c33ce9d2"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: after which they desired me to leave\n", "labels": "saying that they needed me no longer", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-a57c650b5fd74b12aee2173bfd1e623a"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: supported by an honorable name how could she extricate herself from this labyrinth to whom would she apply to\n", "labels": "help her out of this painful situation debray to whom she had run with the first instinct of a woman towards the man she loves and who yet betrays her", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-9da38b6cfb44422e84fa0b92e2a78ba0"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: take it to your master madame will await my return yes go the concierge closed the door leaving madame danglars in the\n", "labels": "street she had not long to wait", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-c6141502781e4d11a35232c47ee9e7a1"}, {"text": "Definition: You are given an unfinished English sentence, and you need to predict the rest of it.\nInput: directly afterwards the door was opened wide\n", "labels": "enough to admit her and when she had passed through it was again shut without losing sight of her for an instant the concierge took a whistle from his pocket as soon as they entered the court and blew it", "task_name": "task964_librispeech_asr_text_auto_completion", "task_category": "text_completion", "id": "task964-f1f91608e43d44fb9cd640a67a0b2da4"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Gary is green. Erin is smart. Charlie is quiet. Bob is not green. Gary is big. If Charlie is not smart then Charlie is furry. Bob is quiet. Gary is smart. Charlie is cold. All quiet people are smart. Bob is smart. If Charlie is quiet and Charlie is not cold then Charlie is furry. Charlie is furry.     Question: Gary is not green.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-0b9ab67c5fa14a64b4e0f63127ecd0f6"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The cat is nice. The cat is not red. The cat is blue. If someone is red then they are not young.     Question: The cat is blue.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-569d9f9e71874bb28f175ca8ce4a4935"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something needs the squirrel and it eats the squirrel then the squirrel does not see the bald eagle. The tiger does not eat the squirrel. The bald eagle needs the tiger. If something is green and it does not need the bald eagle then the bald eagle sees the squirrel. If something needs the squirrel and it does not need the bald eagle then it does not see the tiger. If something does not see the tiger then the tiger sees the squirrel. The squirrel is green. If something eats the tiger then it eats the squirrel. If something eats the tiger and it eats the squirrel then the tiger eats the bald eagle.     Question: The tiger eats the squirrel.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-ac35675d70d44f658bc37dce989961cb"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is cold then it is not nice. All big things are cold. The bear is young. If the bear is young and the bear is not cold then the bear is rough. The bear is cold. The bear is rough. All big things are cold. All big things are not young. If something is not young and not big then it is cold.     Question: The bear is rough.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-8badba62f1384f63aa4013455b20684f"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is cold then it is not nice. All big things are cold. The bear is young. If the bear is young and the bear is not cold then the bear is rough. The bear is cold. The bear is rough. All big things are cold. All big things are not young. If something is not young and not big then it is cold.     Question: The bear is not cold.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-e3f4874bd078497dabe735b7b37fd367"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Fiona is white. If someone is red then they are blue. Fiona is green. Fiona is round. If someone is blue and round then they are young. Fiona is blue. Fiona is young. All nice people are young. Nice people are blue. Fiona is red. Young people are green. If Fiona is blue then Fiona is nice. Fiona is nice.     Question: Fiona is not red.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-fdaea609514e4b46b59c48c5798ac536"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The dog visits the squirrel. The squirrel chases the dog. If something is young then it chases the squirrel. The dog is round. The dog is green. If the dog is round and the dog likes the squirrel then the squirrel likes the dog. The squirrel is green. The dog likes the squirrel. The squirrel likes the dog.     Question: The squirrel is not green.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-1d7708dc676b4adeb0c0a526b639e40c"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Fiona is nice. Cold, white things are young. All rough things are red. Dave is nice. Fiona is white.     Question: Dave is not nice.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-e7b49d85207b475186edda2a1cc2ec4c"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The rabbit visits the cat. If the bear visits the cat then the cat is red. The cat is cold. If someone sees the cat and they see the rabbit then the rabbit visits the bear. The cat sees the bear. If someone visits the rabbit and they see the rabbit then the rabbit sees the bear. The rabbit sees the cat. The bear chases the cat. The cat chases the bear. The rabbit is red. The bear is young. The rabbit is nice. The bear chases the rabbit. The bear visits the rabbit. If someone visits the rabbit then they are red. The cat is blue. If someone chases the rabbit then the rabbit is young. The bear is red. If someone visits the bear and they visit the rabbit then the bear sees the cat. The rabbit sees the bear. If someone chases the rabbit and they are blue then they are young. The rabbit chases the cat. The cat is red. If someone visits the bear and the bear is cold then they see the rabbit.     Question: The cat is not blue.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-21327bfc2e7e4b4c8355c87f26c3c9ad"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Anne is quiet. Harry is young. If someone is not kind then they are cold. Bob is young. Fiona is white.     Question: Anne is not quiet.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-71e016bb24d64c9d90f32e82f7a86aec"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The rabbit does not need the lion. If the rabbit visits the bear then the bear visits the dog. If someone is green and not round then they need the rabbit. If someone needs the dog then they are red. The lion is red. The dog needs the rabbit. The lion needs the rabbit. The bear is cold. The lion eats the bear. If someone eats the bear and the bear eats the dog then the dog visits the lion. The lion visits the rabbit. The bear is red. If someone needs the dog and they are not cold then they need the rabbit. If someone visits the rabbit and they do not visit the lion then the rabbit is round. If someone is round and not red then they need the dog. The lion is cold. The lion eats the dog. The rabbit does not eat the lion. The bear does not need the dog. If someone does not eat the rabbit then they are red.     Question: The lion is red.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-4fb623e98c33418393801e299b701ab1"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is not nice and not blue then it is not furry. If Fiona is not rough then Fiona is big. Fiona is not nice. Fiona is big. Blue things are big. Fiona is young. If Fiona is green and Fiona is big then Fiona is nice. If Fiona is not big then Fiona is nice. If something is green and not blue then it is furry. If something is nice and furry then it is blue. If something is big and nice then it is not green.     Question: Fiona is young.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-f33a33319808412297d2adf76b8b50df"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Fiona is red. All big people are furry. Dave is white. Young, white people are not green. If someone is white and not green then they are furry. If Gary is round then Gary is not red. If someone is not round and not white then they are red. If someone is green and not white then they are big. Gary is red. Gary is furry. Fiona is white. If Bob is young then Bob is red. If someone is young then they are white. Bob is red. Gary is not green.     Question: Gary is red.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-d7a74d8f4f2f44f59c4acd0a296647b1"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Fiona is red. All big people are furry. Dave is white. Young, white people are not green. If someone is white and not green then they are furry. If Gary is round then Gary is not red. If someone is not round and not white then they are red. If someone is green and not white then they are big. Gary is red. Gary is furry. Fiona is white. If Bob is young then Bob is red. If someone is young then they are white. Bob is red. Gary is not green.     Question: Gary is green.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-f6f03c19934a4ad7bdad7ed18d5fdf0d"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Dave is white. Anne is white. Dave is nice. Anne is furry. Erin is furry. Anne is green. Dave is kind. Gary is red. Gary is kind. Anne is red. Dave is green. Anne is cold. Erin is white. Dave is red. If something is green then it is nice. Dave is furry. Gary is nice. Kind things are red.     Question: Anne is red.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-61b5d30323b54b40baf09ceb907c4601"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is rough then it is big. Gary is kind. Erin is rough. Erin is red. Gary is green. Gary is blue. Erin is blue. If Gary is rough then Gary is green. All kind things are blue. All quiet things are big. Bob is blue. Bob is rough. If something is green and blue then it is quiet. Bob is green. Red, quiet things are blue. Bob is big.     Question: Erin is not red.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-05ba71b013334bd08c034c98a339ddcf"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is kind and round then it is cold. Dave is kind. Dave is young. If something is white and kind then it is rough. Dave is cold. Dave is rough. Harry is cold. Erin is cold. Erin is young. Erin is rough. Harry is blue. Erin is blue. Erin is kind. Harry is round. Harry is young. Erin is white. Erin is round. Harry is kind.     Question: Erin is rough.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-dc18a5b26caf4293a166ee2ca48f9b89"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Dave is white. Charlie is kind. Dave is red. Charlie is white. Dave is quiet. If Charlie is blue then Charlie is kind. Dave is rough. Fiona is kind. Charlie is red. All young, rough things are white. Quiet, blue things are red. Erin is rough. If something is young and kind then it is quiet. If something is white then it is red. Fiona is quiet. Red, kind things are blue.     Question: Fiona is kind.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-c8f297a0c8d24214ac969b40f04eab7f"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something likes the rabbit then it is cold. The mouse does not eat the rabbit. The rabbit is not red. If something sees the rabbit and the rabbit is cold then the rabbit does not see the mouse.     Question: The mouse eats the rabbit.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-1ffc5601a9b24e3e89167ae181bb3b06"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Blue, cold people are kind. Fiona is round. If Fiona is green then Fiona is blue. All kind people are cold. Nice, cold people are green. All nice, blue people are round. Kind people are cold.     Question: Fiona is round.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-ea79505f42524356890224ae6b79c80e"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Blue, cold people are kind. Fiona is round. If Fiona is green then Fiona is blue. All kind people are cold. Nice, cold people are green. All nice, blue people are round. Kind people are cold.     Question: Fiona is not round.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-9965c3614bd2445794d0c8ac49db9ace"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Dave is white. All nice, cold things are quiet. Dave is nice. Dave is cold. Dave is quiet. Dave is red. Dave is round. If something is furry and red then it is round. Dave is furry.     Question: Dave is not nice.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-0d3e79999cea4208b4cd80d233b81c09"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is not rough then it is red. Gary is young. Charlie is rough. Erin is kind. Charlie is not cold. If something is rough and smart then it is not red. Erin is cold. Harry is not young. Gary is rough.     Question: Harry is young.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-5ba767613da54d47bfc4cad3d3111352"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something chases the bald eagle then it is kind. If the bald eagle is red and the bald eagle is not kind then the bald eagle needs the dog. The rabbit needs the dog. The bald eagle needs the rabbit. If something is not red then it sees the dog. The dog does not see the bald eagle.     Question: The dog sees the bald eagle.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-434470ed9c3f4c1c8c2b95a10c587764"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The bald eagle does not eat the lion. If something sees the lion and the lion is nice then it is not green. The dog eats the bald eagle. The mouse is green. The lion does not chase the bald eagle. The dog is nice. The bald eagle does not see the mouse. The lion is green. The dog eats the lion. The lion does not see the bald eagle. The bald eagle sees the lion. The bald eagle eats the dog. The lion sees the mouse. The dog chases the mouse. The dog does not see the bald eagle. The dog sees the mouse.     Question: The bald eagle eats the dog.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-4ba929e527dc4f94bbc43bda646a7672"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The squirrel is young. The bald eagle visits the tiger. The tiger sees the bald eagle. The cat sees the bald eagle. If something chases the tiger then it is blue.     Question: The tiger sees the bald eagle.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-4b523ded04d244cf878b74ccc774fc52"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Harry is young. Harry is furry. Dave is round. All kind things are young. Gary is kind. All round, quiet things are green. Dave is young. Gary is furry. Dave is green. Anne is big. Harry is green. Harry is quiet. Harry is big. If something is round and green then it is young. Harry is kind.     Question: Harry is quiet.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-ef49dea732694eae81aa958dd1442105"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The cow does not eat the rabbit. If something eats the cow and the cow eats the rabbit then it does not see the rabbit. If something eats the rabbit and it is red then the rabbit eats the cow. The rabbit likes the cow. If something is kind and it does not see the cow then it eats the rabbit. The cow sees the rabbit.     Question: The cow does not eat the rabbit.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-6e92664695714a1280b6debdf0dda6f3"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Bob is cold. Bob is blue. Red, cold people are round. Bob is quiet. Bob is red. Bob is young. Bob is furry. Bob is round.     Question: Bob is blue.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-a3d7fd53a20f47389db2c6493d830a3c"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something visits the cat and it is rough then it chases the cat. The cat is cold. The dog needs the cat. The cat visits the dog. The dog is cold. The cat is green. The cat chases the dog. The cat is rough. If the dog visits the cat and the cat is green then the cat visits the dog. The cat is red. The cat is kind. The dog is green. The dog visits the cat. The dog is red. The dog is kind. The dog chases the cat. The dog is rough. The cat needs the dog.     Question: The dog is red.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-0b27d8ca14ff4aec97f9a998d45a78a5"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Fiona is furry. Fiona is cold. All blue things are cold. Harry is cold. Fiona is not kind. Furry, cold things are not kind. Rough things are big. Harry is not furry. All smart things are cold. Fiona is rough. Harry is big. If Fiona is cold then Fiona is smart. Fiona is smart. Harry is kind. If something is not rough then it is kind. Harry is rough. Harry is smart. Harry is not blue. Charlie is blue. If something is not kind then it is furry. All blue things are smart. Fiona is big. Fiona is blue.     Question: Fiona is not rough.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-c9c8c46a7a814659a2612475736a34ec"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something is not round then it is nice. The dog is young. If something is round and not young then it is not rough. If something is rough and not young then it is red. If something is rough and nice then it is not round. The dog is not nice. All round things are rough. The dog is rough. The dog is red. The dog is round. If something is young and not rough then it is red.     Question: The dog is not round.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-49c45b36f277462d8887d32fbb6d6790"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: All nice things are cold. Erin is rough. Erin is quiet. Erin is round. If something is nice then it is quiet. Erin is nice. Erin is blue. Erin is furry. Erin is cold. If something is cold then it is quiet.     Question: Erin is not nice.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-887151560cff4cba92305b8b4a4e15bd"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If someone is blue then they are young. The lion is rough. The lion is kind. The lion is young. If someone is rough and cold then they are blue. If the lion is kind and the lion is young then the lion is rough. Cold people are young. If the lion is rough then the lion is young. If someone is young then they are kind. The lion is cold. If someone is kind then they are rough. Rough, young people are kind. The lion is blue.     Question: The lion is cold.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-ebedbf99bdda43b7bd5d14b896a9a0ab"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If someone is blue then they are young. The lion is rough. The lion is kind. The lion is young. If someone is rough and cold then they are blue. If the lion is kind and the lion is young then the lion is rough. Cold people are young. If the lion is rough then the lion is young. If someone is young then they are kind. The lion is cold. If someone is kind then they are rough. Rough, young people are kind. The lion is blue.     Question: The lion is not blue.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-a40ff6f36e7c4d3f9d0afcd917f41206"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Gary is not red. Gary is rough. If something is big and nice then it is kind. Gary is white.     Question: Gary is white.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-9462454ea84240b081ba37d4847e3ff0"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Charlie is young. Harry is green. Harry is round. Harry is smart. Charlie is not smart. Charlie is big. Nice people are not round. If Charlie is big and Charlie is not nice then Charlie is green. Charlie is nice. If someone is nice and not young then they are smart.     Question: Harry is not green.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-e279e88fdb7743a284fd7dd8265e96d1"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If something needs the tiger then the tiger likes the cat. The cat eats the tiger. If something likes the cat and the cat likes the tiger then the tiger eats the cat. If something is rough then it needs the cat. The tiger eats the cat. If something likes the cat then the cat needs the tiger. If something eats the cat and the cat eats the tiger then it likes the cat. If something eats the tiger then the tiger is big.     Question: The tiger does not eat the cat.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-1d1c2dce5ff94c57b9c432f2acf81977"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Erin is furry. Erin is smart. Erin is white. Dave is furry. Dave is white. Dave is green. Dave is smart. All smart, big people are rough. Dave is kind. If someone is green and furry then they are rough. Erin is big. Erin is green. Dave is big. Dave is rough.     Question: Dave is not white.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-f5e9b421dbd64317b336d67d81b74c8e"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: All cold things are young. Anne is quiet. Anne is cold. Anne is white. All big, white things are young. If Anne is cold and Anne is big then Anne is rough. Anne is green. If something is white then it is rough. Anne is young. If something is young then it is big. Anne is big. If something is quiet and cold then it is rough. Anne is rough.     Question: Anne is quiet.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-24aa354df9f941cc9ab8caacf58ba3a8"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: All cold things are young. Anne is quiet. Anne is cold. Anne is white. All big, white things are young. If Anne is cold and Anne is big then Anne is rough. Anne is green. If something is white then it is rough. Anne is young. If something is young then it is big. Anne is big. If something is quiet and cold then it is rough. Anne is rough.     Question: Anne is not young.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-9a0756884d2e41d1a6c14687dc2f64e7"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If someone needs the rabbit and they visit the rabbit then the rabbit is blue. If the cat visits the rabbit and the cat is blue then the cat eats the rabbit. The dog needs the cat. The rabbit needs the dog. The cat needs the rabbit.     Question: The dog does not need the cat.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-bf44cf6795f34c31a4fd127bbe8ddba8"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If someone is big and young then they are cold. All nice people are round. The dog is young. If someone is big then they are young.     Question: The dog is not young.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-5966e7b26b4f4a09834c5eea678c5a82"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The bald eagle is kind. The bald eagle chases the squirrel. The squirrel is rough. If something chases the squirrel then the squirrel is kind. The bald eagle needs the squirrel. The bald eagle is rough. If something eats the squirrel then the squirrel chases the bald eagle. The squirrel eats the bald eagle. The bald eagle eats the squirrel. The squirrel is kind. The squirrel is round. The squirrel is big. The bald eagle is nice. The bald eagle is big. The squirrel is nice. The squirrel needs the bald eagle. The bald eagle is round. The squirrel chases the bald eagle.     Question: The bald eagle is not round.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-93786a7882644fa58499ccab46eaf1b2"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The bear needs the lion. The bear needs the tiger. The bear likes the lion. The tiger is big. The tiger eats the bear. The lion eats the bear. The tiger needs the bear. The tiger is rough. The bear eats the lion. If the tiger needs the bear and the bear needs the lion then the tiger likes the lion. The lion eats the tiger. The tiger eats the lion. The bear likes the tiger. The bear is rough. The bear eats the tiger. The lion likes the tiger. If the lion eats the tiger and the lion needs the tiger then the tiger needs the lion.     Question: The bear does not like the tiger.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-d4dbd7d8d3764900bb690786e1d20c77"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Bob is not white. If Erin is white then Erin is not rough. Bob is kind. Anne is red. Erin is quiet. Charlie is kind. Erin is rough. Anne is blue. Charlie is blue. Bob is red. Charlie is rough.     Question: Erin is rough.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-5a53ce99d6894d739f6710dfa2dc6297"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Bob is not white. If Erin is white then Erin is not rough. Bob is kind. Anne is red. Erin is quiet. Charlie is kind. Erin is rough. Anne is blue. Charlie is blue. Bob is red. Charlie is rough.     Question: Erin is not rough.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-4e8e37f5fb714630b327662f606c15c0"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: If someone needs the lion then they see the squirrel. If someone visits the squirrel then the squirrel visits the cat. If someone needs the bear then the bear needs the squirrel. The squirrel is big. If the lion is big then the lion does not visit the bear. The squirrel needs the bear. The cat needs the squirrel. The bear visits the cat. The squirrel does not see the lion. If the bear is nice and someone does not visit the bear then they see the squirrel. The bear sees the lion. The cat does not need the lion. The lion is nice. The cat visits the lion. The bear needs the squirrel. If someone is not nice then they are rough. The squirrel sees the bear. The cat sees the bear. The bear is big. The lion is cold. The lion does not need the bear. The cat is big.     Question: The squirrel needs the bear.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-6279a3a5824a42cfa3ce5b9fc3b5523c"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The cat is nice. If something is cold and round then it is nice. Cold things are round. If something is round and rough then it is big. All cold things are big. If something is rough then it is round. The cat is rough. The cat is big. All cold things are nice. The cat is round. Big things are rough. If the cat is rough and the cat is cold then the cat is round. The cat is cold.     Question: The cat is not nice.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-025a50e5a2e7437aa4f0b3f9fd69f046"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The cat is red. If something is big and it sees the rabbit then the rabbit is big. The rabbit likes the cat. If something is big and kind then it sees the rabbit. If something needs the cat then it is big. If something sees the rabbit and it needs the rabbit then the rabbit is cold. If something sees the cat then the cat needs the rabbit. If something likes the cat then the cat likes the rabbit. If something sees the rabbit and it needs the cat then the rabbit likes the cat. If the cat sees the rabbit then the cat likes the rabbit.     Question: The rabbit likes the cat.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-afe0bd6068f54f3eb21850af4bd6f9fe"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Dave is big. Dave is smart. Bob is big. If Bob is nice and Bob is not big then Bob is rough.     Question: Bob is not big.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-c4bbfca188044910b27957c3264cd955"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: The cat eats the tiger. The lion needs the tiger. The tiger needs the cat. The lion eats the tiger. The tiger eats the cat. The cat needs the lion. The cat likes the lion. The cat is green. The tiger is nice. The cat likes the tiger. The lion is blue. If the tiger likes the lion and the tiger eats the cat then the lion eats the cat. The lion needs the cat. The cat is big. The tiger is blue. The lion likes the tiger. The cat is nice.     Question: The lion needs the cat.\n", "labels": "True", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-14fbeb65be1c42a2919c9d769fe0a294"}, {"text": "Definition: Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.\nInput: Paragraph: Gary is not furry. Bob is big. Harry is young. Fiona is furry. If something is big and furry then it is not quiet. If something is cold and not furry then it is young. Gary is nice. Harry is not furry. Gary is quiet. Gary is blue. If something is not blue then it is nice. Gary is young. Fiona is not cold. Gary is big. Bob is blue. Gary is cold. Harry is blue. Harry is not quiet. Bob is nice.     Question: Gary is not young.\n", "labels": "False", "task_name": "task966_ruletaker_fact_checking_based_on_given_context", "task_category": "fact_verification", "id": "task966-94d00ee0fa3f4379802c41eac34fc084"}]