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A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: ସାଥୀଗଣ, ପୁନରୁତ୍ଥାନ ସେତେବେଳେ ସମ୍ଭବ ହେବ, ଯେତେବେଳେ ଆମେ ସମସ୍ତେ ଆଗକୁ ବଢ଼ିବା, ସେହି ଭଳି ଗବେଷଣାରୁ ପୁନରୁତ୍ଥାନର ଦୋଷ ତ୍ରୁଟିକୁ ଶେଷ କରି ଆଗକୁ ବଢ଼ିବାର ପ୍ରୟାସ ହେଉଛି । କିନ୍ତୁ ଏହା ସହିତ ନୂତନ ଯୁଗ ଅନୁକୂଳ ପରିବର୍ତ୍ତନ ଆଣିବା, ଏହା ସେଥିରେ ନିହିତ ହେବା ଦରକାର ।
Output: | ਸਾਥੀਓ, Research ਉਦੋਂ ਸੰਭਵ ਹੈ ਜਦੋਂ ਅਸੀਂ ਸਭ ਇੱਕ ਕਦਮ ਅੱਗੇ ਵੱਧਣ। ਵੈਸੇ ਵੀ Resurgence ਤੋਂ Resurgence ਖਾਮੀਆਂ ਨੂੰ ਖਤਮ ਕਰ ਅੱਗੇ ਵਧਾਉਣ ਦਾ ਤਾਂ ਯਤਨ ਹੈ ਹੀ, ਪਰ ਨਾਲ-ਨਾਲ ਨਵੇਂ ਯੁੱਗ ਦੇ ਅਨੁਕੂਲ ਬਦਲਾਅ ਲਿਆਉਣ, ਇਹ ਉਸ ਵਿੱਚ ਨਿਹਿਤ ਹੋਣਾ ਚਾਹੀਦਾ ਹੈ। | task1039_pib_translation_oriya_punjabi |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: Then she puts oil around the bread she has self made on the grill and she puts everything that was on the grill onto the sandwich. She is now done and it
Output: | is on side of the house until the place is too far out. | task454_swag_incorrect_answer_generation |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Input: Context : A native of the town of Amatrice in the Papal State of Latium (modern neighboring Province of Rieti in the Lazio region), Nicola Filotesio also appears in contemporary records as Cola dell'Amatrice or Cola Amatricius.
Question : What year did Nicola Filotesio die in?
Output: | date of death | task1328_qa_zre_relation_generation_from_question |
Given a premise and two alternatives in Gujarati, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'નિવેદન' field and the alternatives are the 'વિકલ્પA' and 'વિકલ્પB' fields.The output should either be "વિકલ્પ A" or "વિકલ્પ B" based on your judgment.
Input: નિવેદન: ડ્રાઈવરે તેના હોર્નનું સન્માન કર્યું.
વિકલ્પ A: બીજી કાર તેની ગલીમાં ધસી ગઈ.
વિકલ્પ B: તેણીએ પ્રકાશ તરફ જમણો વળાંક આપ્યો.
Output: | વિકલ્પ A | task940_copa_gu_commonsense_reasoning |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: There are holes at ears. There are no holes at the eyes.
Output: | Ci sono buchi al posto delle orecchie. Non ci sono buchi a livello degli occhi. | task1091_ted_translation_en_it |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: இதில், பிரதமரின் மக்கள் ஆரோக்கியத் திட்டத்தை (Pradhan Mantri - Jan Arogya Yojana) சிறப்பான முறையில் செயல்படுத்துவதற்காக ஏற்கனவே உள்ள தேசிய சுகாதார முகமையை “தேசிய சுகாதார ஆணையமாக” மாற்றியமைக்க ஒப்புதல் அளிக்கப்பட்டது.
Output: | নতুন দিল্লীতে আজ (২জানুয়ারী,২০১৮)বৈঠকে প্রধান মন্ত্রী শ্রী নরেন্দ্র মোদীর পৌরহিত্যে অনুষ্ঠিত বৈঠকে এই সিদ্ধান্ত গ্রহণের ফলে প্রধানমন্ত্রী জন আরোগ্য যোজনা আরও ভালোভাবে রূপায়ন সম্ভব হবে। | task982_pib_translation_tamil_bengali |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Input: [78.523, 239.098, 9.698, 69.94]
Output: | 99.315 | task094_conala_calculate_mean |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Dialogue 1: 'really really about what exactly really i am upset alone at home remember you'. Dialogue 2: 'so what stream should i take if u r really good at maths take engineering stream what i am taking is an engineering stream civil engineering'.
Output: | no | task518_emo_different_dialogue_emotions |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their, etc.) or other mentions to people, places, or things to which they may refer. Do not ask questions that can be answered correctly without understanding the paragraph or having multiple answers. Avoid questions that do not link phrases referring to the same entity. For each of your questions, the answer should be one or more phrases in the paragraph, and it should be unambiguous.
Input: Passage: The Brownlow family, a dynasty of lawyers, began accumulating land in the Belton area from approximately 1598. In 1609 they acquired the reversion of the manor of Belton itself from the Pakenham family, who finally sold the manor house to Sir John Brownlow I in 1619. The old house was situated near the church in the garden of the present house and remained largely unoccupied, since the family preferred their other houses elsewhere. John Brownlow had married an heiress but was childless. He became attached to two of his more distant blood relations: a great-nephew, also called John Brownlow, and a great-niece, Alice Sherard. The two cousins married each other in 1676 when both were aged 16; three years later, the couple inherited the Brownlow estates from their great-uncle together with an income of £9,000 per annum (about £1.35 million in present-day terms) and £20,000 in cash (equivalent to about £3.01 million now). They immediately bought a town house in the newly fashionable Southampton Square in Bloomsbury, and decided to build a new country house at Belton.Work on the new house began in 1685. The architect thought to have been responsible for the initial design is William Winde, although the house has also been attributed to Sir Christopher Wren, while others believe the design to be so similar to Roger Pratt's Clarendon House, London, that it could have been the work of any talented draughtsman. The assumption popular today, that Winde was the architect, is based on the stylistic similarity between Belton and Coombe Abbey, which was remodelled by Winde between 1682 and 1685. Further evidence is a letter dated 1690, in which Winde recommends a plasterer who worked at Belton to another of his patrons.
Output: | What is the first name of the person who is assumed today as having been the architect of the new country house at Belton? | task001_quoref_question_generation |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Input: Passage: John went to the bathroom. John went back to the hallway. Sandra went back to the kitchen. Daniel went back to the office.
Output: | Where is John? | task082_babi_t1_single_supporting_fact_question_generation |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Input: Sentence: The chief demanded the auditor stop snooping because she never paid attention to the danger.
Profession: auditor
Output: | Female | task340_winomt_classification_gender_pro |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Input: (A) refusing to give back my school laptop
(B) not agreeing with my friends new standards
Output: | A | task106_scruples_ethical_judgment |
You are given a question on moral disputes. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: Van den Haag is
(A)a distributionist. (B)an abolitionist. (C)a retentionist. (D)a humanitarian.
Output: | C | task723_mmmlu_answer_generation_moral_disputes |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Input: Question: Who are some notable musical composers from Portugal? (Answer: José Vianna da Motta, Carlos Seixas, João Domingos Bomtempo, João de Sousa Carvalho, Luís de Freitas Branco and his student Joly Braga Santos).
Output: | Humans. | task046_miscellaneous_question_typing |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: ২৬শে জুলাই কার্গিল যুদ্ধ স্মারকে সেনাবাহিনীর প্রধান এই বিজয় শিখা গ্রহণ করবেন।
Output: | मशाल तांबे, पीतल और लकड़ी से बनी है जो हमारे बहादुर नायकों के तप और दृढ़ संकल्प का प्रतीक है। | task1009_pib_translation_bengali_hindi |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Input: Text: it's about 9.30 pm. me and my friend have just gotten back from the beach and we're in my room playing video games, chilling out, whatever. the doorbell rings.
there are two cops at the door. okay, interesting. they ask me if my name is **neil person**. i'm not, i bought a car off him a week and a half ago then. my name is **joe everyguy**. i tell them that.
they say,
"joe, do you know where your car is?"
i look past them out to the front lawn where i left it, and its gone. not there. i kind of have this moment that feels like it takes forever of trying to process it over in my head. i left my car there. cars not there now. but i left it there. keys are in my pocket.
"it's stolen!?" i blurt out.
eventually, they lead me to the street and point down the road.
my car crashed into a womans brick mailbox, totally ruining it - as well as the front bumper of my car. if it had kept going it would have crashed into the living room of a house which had a family sitting in it at the time.
all of the neighbours were out the front watching, apparently it had been a commotion in the streets for quite some time. the police and the owner of the house turned out to be pretty cool with it.
there are a lot of attractive young women in my street it turns out. i have just ruined all chances with absolutely every one of them.
top score.
Output: | TIFU and left my car in drive when I parked it on a slight incline. Tonight I met everybody in my street. | task510_reddit_tifu_title_summarization |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Input: Context Word: cold.
Question: She had a cold and decided to ditch the vitamins and use medecines, because the _ were less effective.
Answer: vitamins.
Output: | She had a cold and decided to ditch the vitamins and use medecines, because the _ were more effective. | task034_winogrande_question_modification_object |
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Input: Questions: ["when did napoleon's wife die?"]
Output: | 1814-05-29 | task444_com_qa_question_paraphrases_answer_generation |
In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc.
Input: Gießen or Giessen is a city in the German state of Hesse .
Output: | Giessen , spelled Gießen in German ( -RSB- -RSB- , is a town in the German federal state ( " Bundesland " ) of Hesse , capital of both the district of Giessen and the administrative region of Giessen . | task955_wiki_auto_style_transfer |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Input: Sentence 1: UNSCOM employs about 120 persons in Iraq, including 40 inspectors. Sentence 2: Wilson uses some 120 persons in Iraq, 40 of whom are inspectors.
Output: | 0 | task1344_glue_entailment_classification |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Input: Sentence: Connor and John decide to see who can get from their house to the park fastest. Connor takes his tricycle and john takes his motor scooter. Question: Who would get there first? (A) John (B) Connor
Output: | John | task1378_quarel_correct_answer_generation |
You are given a question on high school statistics. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: A study is made to determine whether more hours of academic studying leads to higher point scoring by basketball players. In surveying 50 basketball players, it is noted that the 25 who claim to study the most hours have a higher point average than the 25 who study less. Based on this study, the coach begins requiring the players to spend more time studying. Which of the following is a correct statement?
(A)While this study may have its faults, it still does prove causation. (B)There could well be a confounding variable responsible for the seeming relationship. (C)While this is a controlled experiment, the conclusion of the coach is not justified. (D)To get the athletes to study more, it would be more meaningful to have them put in more practice time on the court to boost their point averages, as higher point averages seem to be associated with more study time.
Output: | B | task710_mmmlu_answer_generation_high_school_statistics |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Input: ['3791', 'X', '6967', '8301', '7791', '3419', 'e', 'E', 'O', '3445', 'U', 'f', 'W', '1313', 'O', '8961', '6197', 'P', 'w']
Output: | X, e, E, O, U, f, W, O, P, w | task488_extract_all_alphabetical_elements_from_list_in_order |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Tweet: Hey people wats up im not doing much i think im going to do groceries soon xoxo Question: is it a positive tweet?
Output: | no | task196_sentiment140_answer_generation |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: आप हताश हैं क्योंकि आइसक्रीम खाते हैं.
Output: | आप हताश हैं क्योंकि आइसक्रीम बदल जाएगा. | task407_mickey_hi_sentence_perturbation_generation |
In this task you're given two statements in Gujarati. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect' .
Input: કેળા પાક્યા.
અમે તેમને ખાધા.
Output: | effect | task941_copa_gu_commonsense_cause_effect |
In this task, you are given a list of integers and an integer k. You need to find the kth smallest element in the input list and return that.
Input: [55, 246, 14, 54, 103, 101, 213, 70, 183, 200, 250, 97, 221, 282, 19, 252, 228, 59, 13, 204], k=13
Output: | 204 | task1406_kth_smallest_element |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: ¿Por qué no se nos ocurrió usarlo antes, y qué podemos hacer con él en el futuro?
Output: | למה זה לא קרה מוקדם יותר, ומה נוכל לעשות עם זה הלאה? | task1229_ted_translation_es_he |
You are given a question on electrical engineering. Electrical engineering is an engineering discipline concerned with the study, design and application of equipment, devices and systems which use electricity, electronics, and electromagnetism. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: Electrical analogous quantity for dash-pot in force-current analogy is
(A)resistance. (B)conductance. (C)inductance. (D)capacitance.
Output: | B | task695_mmmlu_answer_generation_electrical_engineering |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: बच्चों ने कहा कि इन सिक्कों से उनके दैनिक कामकाज में काफी मदद मिलेगी।
Output: | തങ്ങളുടെ ദൈനംദിന പ്രവര്ത്തനങ്ങളെ ഈ നാണയങ്ങള് വലിയ അളവില് സഹായിക്കുമെന്ന് അവര് അഭിപ്രായപ്പെട്ടു. | task1017_pib_translation_hindi_malayalam |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Input: [[-193, -69, -140, 46, -196, -191, -134], [-45, 43, -144], [-40, 85, -186, -15, -159, 39]]
Output: | [46, 43, 85] | task207_max_element_lists |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Input: من به کارم ادامه خواهم داد و دست از کار نمی کشم تا زمانی که به اون نقطه برسیم. "" من فکر می کنم این منازعه کهنه و غر زدن ها ، اینکه "" من محقم "" ، "" تو قربانی هستی "" و... و شکایت و انتقاد نسبت به سیاست خارجی باید که ادامه داشته باشه.
Output: | Continuerò a lavorare. E continuerò a lavorare finché non ci riusciamo. "" Penso che questo paese debba continuare il suo grande dibattito, piangendo e lamentandosi, "" Ho diritto. "" "" Sei una vittima. "" E piangere e lamentarsi di quello che la nostra politica estera dovrebbe essere. | task1271_ted_translation_fa_it |
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Input: Ryan Sweeting a remporté la finale 6 - 4, 6 - 3, contre Evans.
Output: | Ryan Sweeting在决赛中以6比4,6比3战胜埃文斯。 | task793_pawsx_french_chinese_translation |
You are given a time in 24-Hours format, and you need to convert it to time in the 12-Hours format. For a 24-Hours format time larger than 12:00, subtract 12 hours from the given time, then add 'PM'. For example, if you have 14:30 hours, subtract 12 hours, and the result is 2:30 PM. If the 24-Hours format time is less than or equal to 12:00, add 'AM'. For example, say you have 10:15 hours, add the 'AM' to the end, here we get 10:15 AM. Note that 00:00 Hrs in 24-Hours format is 12:00 AM in 12-Hours format and 12:00 Hrs in 24-Hours format would be 12:00 PM in 12-Hours format.
Input: 07:22 Hrs
Output: | 07:22 AM | task1498_24hour_to_12hour_clock |
In this task, you will be given a sentence, and you need to identify the set of coreference words. Coreferences are generally a set of words in the text that refer to the same person or thing. Your output set of coreference words must be strictly present in the given input sentence. Do not use any outside knowledge to create the set of coreference words. If there is a 'the' article before the person or thing you should include 'the' as well. Please separate the coreference words by commas in the output.
Input: The developer was unable to communicate with the writer because she used big words .
Output: | the, writer, she | task1664_winobias_text_generation |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Input: プラスチックの生分解には何百年何千年とかかります
Output: | Los plásticos tardan cientos o miles de años para biodegradarse. | task1223_ted_translation_ja_es |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: પ્રધાનમંત્રીએ કહ્યું, પ્રધાનમંત્રી કાર્યાલયનાં જનસંપર્ક અધિકારી શ્રી જગદીશ ઠક્કરના નિધનથી ખૂબ દુઃખ થયું.
Output: | উপযুক্ত কর্তৃপক্ষ, জিএসটিআর-৯, জিএসটিআর-৯এ এবং জিএসটিআর-৯সি ফর্ম দাখিলের শেষ তারিখ ২০১৯-এর ৩১ মার্চ পর্যন্ত বাড়ানোর সিদ্ধান্ত নিয়েছে। | task1068_pib_translation_gujarati_bengali |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into two classes: stereotype or anti-stereotype.
Input: Passage: She was so mad that he was so much similar in age to her.
Output: | Anti-stereotype | task316_crows-pairs_classification_stereotype |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Input: Context_1 : John Patrick O'Neill (born 11 March 1958) is a former footballer who played for the Northern Ireland national team, winning 39 caps, and scoring two goals. Born in Derry, Northern Ireland, he was a member of the Northern Ireland squads that played in the World Cup tournaments of 1982 and 1986. His final appearance for the national side came in their 3-0 defeat against Brazil in the 1986 tournament. Context_2 : Andrew William Smith (born 25 September 1980) is a former Northern Ireland international footballer. He had a 16-year career playing professional and semi-professional football in Northern Ireland, England, Scotland, Belgium, and Portugal. He also won 18 caps for Northern Ireland between 2003 and 2005 and one cap for the Northern Ireland B team in 2003. Context_3 : Anthony "Tony" Marchi (born 21 January 1933 in Edmonton) is an English retired football player of Italian descent, who played for Tottenham Hotspur in the position of wing half from 1950 until 1965, which was broken up by a two-year spell in Italy with Vicenza and Torino. During much of his career at Spurs, Marchi was mostly used as an understudy to Danny Blanchflower and Dave Mackay. However, in the 1962-63 following injuries he established himself in the side and was a member of the 1963 UEFA Cup Winners' Cup Final winning team. He was one of seventeen players used by Spurs in their Double winning side of 1960-61 He also later managed Cambridge City and Northampton Town. Context_4 : David Healy is a retired association footballer, who represented the Northern Ireland national football team between 2000 and 2013. During his international career, he played 95 matches in which he scored 36 goals, becoming his country's top scorer. Healy made his international debut in a friendly against Luxembourg at the Stade Josy Barthel in February 2000, scoring two goals in a 3–1 victory. In June 2004, he became Northern Ireland's all-time top scorer, after netting his 14th international goal in a friendly against Trinidad and Tobago; the previous record of 13 goals was held jointly by Billy Gillespie and Colin Clarke. As of October 2015, Kyle Lafferty is second to Healy in Northern Ireland's all-time scoring record, with 16 goals. Healy's final goal came in 2012, after a four-year goal drought, when he scored a 95th-minute equaliser against Azerbaijan during the 2014 FIFA World Cup qualification. Context_5 : Alan McDonald (12 October 1963 – 23 June 2012) was a Northern Ireland footballer and manager. As a player, he spent most of his career in England with Queens Park Rangers, as well as having short spells with Charlton Athletic and Swindon Town. He was capped 52 times for Northern Ireland and played at the 1986 FIFA World Cup in Mexico. After retiring as a player, he managed IFA Premiership side Glentoran from June 2007 until his resignation at the end of February 2010. McDonald collapsed and died whilst playing golf at the Temple Golf Club near Lisburn on 23 June 2012. Context_6 : Brendan Duddy (10 June 1936 – 12 May 2017) was a businessman from Derry, Northern Ireland, who played a key role in the Northern Ireland peace process. A notable Catholic republican, who was a pacifist and firm believer in dialogue, Duddy became known by MI6 as "The Contact." In his book "Great Hatred; Little Room – Making Peace in Northern Ireland", Tony Blair's political advisor Jonathan Powell described Duddy as the "key" which led to discussions between republicans and MI6, and ultimately the Northern Ireland peace process. Context_7 : Richard Stephen Graham (born 5 August 1979) is a retired Northern Ireland footballer who is assistant manager for Wingate & Finchley. He played as a left-midfielder. Context_8 : Robert Dennis "Danny" Blanchflower (10 February 1926 – 9 December 1993) was a former Northern Ireland international footballer and football manager, and journalist who captained Tottenham Hotspur during its double-winning season of 1960–61. He was ranked as the greatest player in Spurs history by "The Times" in 2009. He played as a right half and was known for his accurate passing and ability to dictate the tempo of the game. Context_9 : Paul Christopher Ramsey (born 3 September 1962 in Derry, Northern Ireland) is a former professional footballer and Northern Ireland international who played in a defensive midfield role. He featured for Northern Ireland in the 1986 FIFA World Cup. Context_10 : Samuel Nelson (born 1 April 1949 in Belfast, Northern Ireland) is a Northern Ireland former footballer, who played for Arsenal, Brighton & Hove Albion and Northern Ireland throughout his career. fact_1 : During much of his career at Spurs, Marchi was mostly used as an understudy to Danny Blanchflower and Dave Mackay. fact_2 : Robert Dennis "Danny" Blanchflower (10 February 1926 – 9 December 1993) was a former Northern Ireland international footballer and football manager, and journalist who captained Tottenham Hotspur during its double-winning season of 1960–61. Question: What Northern Ireland footballer was Tony Marchi an understudy to?
Output: | Danny Blanchflower | task170_hotpotqa_answer_generation |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Input: سيكون تمدداً فعل ذلك للتسعة مليارات نسمة.
Output: | יהיה קשה לעשות זאת עבור תשעה. | task1233_ted_translation_ar_he |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Input: In order to enable the ships to be loaded and discharged using a minimum of wheeled equipment, large storage areas should be provided as close as possible to the berth.
Output: | Ukuze kuvumeleke ukuba inqanawa ithwaliswe yothulwe usebenzisa iqondo elisezantsi lezixhobo ezinamavili, iindawo zokugcina ezinkulu mazinikezelwe kufutshane ngeyona ndlela kwindawo yokulala enqanaweni | task872_opus_xhosanavy_translation_eng_xhosa |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: This has been my favorite soup since childhood. I was pleased to find it available on Amazon.com at a very reasonable price. Now I plan to keep a good supply on hand at all times!
Output: | 5 | task588_amazonfood_rating_classification |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Input: the impact on the employee will depend on factors like the nature of the employer's business and the competitive risk posed by the employee. Wis. Stat. § 103.465 Applies to the NSE Provision ¶ 14. As a preliminary matter, we address Mani-towoc's insistence that its nonsolicitation provision is not subject to Wis. Stat. § 103.465. The statute itself proclaims that it applies to a "covenant. . . not to compete with his or her employer. . . during... or after" one's employment. Id. The provision also calls such covenants a "restraint." Id. Case law has made clear that § 103.465 applies to any covenant between an employer and an employee that "seeks to restrain competition" or operates as a "trade restraint." See Tatge v. Chambers & Owen, Inc., 219 Wis. 2d 99, 112, 579 N.W.2d 217 (1998) (<HOLDING>). ¶ 15. Manitowoc agrees with this basic
Holding statements: (A) holding that there was no federal subject matter jurisdiction under the private cause of action provision of the act (B) holding that a nondisclosure provision is subject to 103465 (C) holding that defendants testimony that he did not see a provision in the agreement because the plaintiffcounterparty failed to direct him to the provision was insufficient as a matter of law to establish fraud and defendant was therefore bound to the terms of the provision (D) holding that where there is a conflict between statutes the more recent statute is controlling and a specific provision prevails over a general provision relating to the same subject matter (E) holding that a provision of the constitution is to be construed in the sense in which it was understood by the framers and the people at the time of its adoption but that if new products or circumstances that did not exist at the time the constitutional provision was enacted fall within the meaning of the provision the constitutional provision applies to them
Output: | (B) | task268_casehold_legal_answer_generation |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
Input: Context: When i live on my own , i am ok . But as soon as i m back home everyone feeds me , and i pretty much need to put a " do n't feed the animals " sign around my neck . And wehn i get depressed , I eat . and Most of the summer , i ve been pretty depressed ... So its like a horrible horrible cycle that I never get out of until i leave this place .
Question: What may be the reason why people feed them so much ?
Output: | They want to take care of them . | task024_cosmosqa_answer_generation |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: System Reference: can i confirm what area you are looking for a hotel near?
Original Reference: where are you looking for a hotel?.
Output: | 0 | task1283_hrngo_quality_classification |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: The word that is used about them in Chinese society is 'snake-heads' .
Spanish:La expresión que se utiliza en la sociedad china para designarlos es "cabezas de serpiente" .
Output: | Yes | task532_europarl_en-es_classification |
In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user command.
Input: Your "Snowboarding" is on January 15, 2020 from 8:00 to 4:00 PM.
Output: | Can you find my appointment in January with Sal and his boss? | task1600_smcalflow_sentence_generation |
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it.
Input: در نگاه اول به نظر می رسد اعترافات ذهن خطرناک من یک فیلم خوش ساخت و خوب است با کارگردانی و تدوین عالی. هر کس فیلم ممنتو کریستوفر نولان را قبل از دیدن این فیلم، دیده باشد؛ جور دیگری قضاوت خواهد کرد. فکر می کنم جملات بالا برای نقد این فیلم کافی باشد.
Output: | positive | task526_parsinlu_movie_overal_classification |
In this task, we ask you to write an answer to a question about when an event happened. Your answer should be a wrong answer. That is, if you are asked about when an event happened, you should answer with a time that the event didn't likely happen. For example, "going to school" usually happens during the day (not at 2 A.M). Even though there exist multiple wrong answers, we only need a single wrong answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Input: Sentence: In one of the paintings, a character has been cut out and is instead sitting on the painting's frame, perhaps taking a break from posing?.
Question: When did the artist finish the painting?
Output: | in the last 2.5 minutes. | task014_mctaco_wrong_answer_generation_absolute_timepoint |
Given a sentence in Korean, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: Fădimac 강은 루마니아의 Bega 강 지류입니다.
Output: | Fădimac 강은 루마니아의 베가 강 (River Bega)의 지류입니다. | task771_pawsx_korean_text_modification |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Input: Sentence: The physician saw the nurse and called her to do the CPR.
Profession: physician
Output: | Unidentifiable | task350_winomt_classification_gender_identifiability_pro |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Input: Comment: "inferior"? define, please.
Output: | Non-toxic | task327_jigsaw_classification_toxic |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: Does it worked
Output: | Positive Review | task1343_amazon_us_reviews_rating |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Input: Sentence1: Linda went to buy some frozen yogurt. Sentence2: She saw some white yogurt and assumed it was vanilla. Sentence3: She loved vanilla, so that was what she got. Sentence4: She tasted it and it was horrible.
(A) Linda was very disappointed. (B) Linda was very pleased.
Output: | B | task297_storycloze_incorrect_end_classification |
You are given a Catalan sentence with a blank, and you need to predict the missing word.
Input: El secretari general d' ERC , Josep-Lluís Carod-Rovira , ha participat aquest migdia en un acte , davant la Delegació d' Hisenda de ____ , per reclamar un finançament just per a Catalunya .
Output: | Tarragona | task962_ancora-ca-ner_missing_word_prediction |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: CK: Sí, correcto.
Output: | シンシア ： はいその通りです | task1239_ted_translation_gl_ja |
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Input: Abstract: Absorption of dietary phosphorus plays a critical role in the development of metabolic bone diseases in patients with chronic renal failure. However, phosphorus absorption is difficult to quantitate in dialysis patients because the dialysis treatments complicate metabolic balance studies. Utilizing a recently developed technique which permits measurement of net absorption of dietary constituents after a single meal, we measured phosphorus absorption in dialysis patients. The following observations were made: A.) Following a meal containing approximately 300 mg phosphorus, mean phosphorus absorption in five hemodialysis patients (with severe vitamin D deficiency) was only slightly less than in matched controls (186 +/- 35 vs. 242 +/- 30). B.) After dialysis patients were treated with 1,25(OH)2-D3, phosphorus absorption increased from 186 +/- 35 to 272 +/- 16 mg (P less than 0.025). C.) The effect of three aluminum containing antacids on phosphorus absorption was studied; each slightly reduced the absorption of phosphorus compared to placebo (P less than 0.01), but there was no significant difference between them. D.) Aluminum hydroxide and calcium carbonate each reduced dietary phosphorus absorption to approximately the same extent. Calcium carbonate ingestion was associated with sharply increased calcium absorption. The absorption of dietary phosphorus is influenced only modestly by 1,25(OH)2-D3 and is inhibited to an equal but only modest degree by various aluminum antacids and by calcium carbonate.
Output: | Kidney Failure, Chronic | task620_ohsumed_medical_subject_headings_answer_generation |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Input: NzUNvIzWpiVeoVYUqLuBRsOBV, uIezukAswBWnLkzzkNvIzWpiVeoVYUqLuBRnAZSAhTPumBEWQwtHo
Output: | NzUbeiilnopqruuvvvwyzsOBV, uIezukAswBWnLkzzkbeiilnopqruuvvvwyznAZSAhTPumBEWQwtHo | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: એક ટોસ્ટર એક ઉદાસી અભિવ્યક્તિ માટે રસોડું વાસણો સાથે શણગારવામાં આવે છે.
Output: | Gujarati | task441_eng_guj_parallel_corpus_gu-en_language_identification |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Input: (CNN) When then US President-elect Donald Trump had a 10-minute conversation with Taiwan's president Tsai Ing-wen in December 2016, he caused a huge diplomatic firestorm. Though it's not uncommon for an incoming leader of one government to speak with the sitting leader of another, Trump's call with Tsai put the future of US relations with China and Beijng's ties with Taipei temporarily on ice. But it looks like Trump's now making moves to smooth over any ruffled feathers. In his first conversation with Chinese President Xi Jinping since his inauguration, Trump reaffirmed the US' commitment to the "One China" policy.In December 2016, Trump called the 'One China' policy into questionDuring a conversation with President Xi Jinping, Trump reaffirmed the US' support of the policy
Question:_ elects its own president and has national and foreign policies separate from China.
Output: | Taiwan | task339_record_answer_generation |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Input: Sentence 1: Officer holding a loaded shotgun to the ground. Sentence 2: The police office is aiming his gun at the floor.
Output: | The officer holds his shotgun up to someone's head while grinning manically. | task187_snli_entailment_to_contradiction_text_modification |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Finnish language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Input: tell me the rating of " wendy 's " .
Output: | kerro minulle " wendy 's "-ravintolan luokitus. | task251_spl_translation_en_fi |
You are given a question on college biology. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: All of the following might be found in connective tissue EXCEPT
(A)thrombin (B)glycosaminoglycans (C)collagens (D)fibroblasts
Output: | A | task686_mmmlu_answer_generation_college_biology |
Given a sentence in Hindi(hi), give the translation of the sentence in English(en) as output
Input: 1921 में Nineteen Twenty ne में अहमदाबाद में कांग्रेस के अधिवेशन में शामिल होने के लिए देशभर से हजारों की संख्या में delegates पहुचने वाले थे
Output: | In 1921, in the Congress Session in Ahmedabad, thousands of delegates from across the country were slated to participate. | task1655_mkb_translation |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematical format (the standard way to express mathematical expressions in the typesetting software known as LaTeX) is used to express equations. Each question is solvable with high school math knowledge. Give only one answer for each question.
Input: If k friends contribute d dollars each, and that money is distributed equally among c number of charities, how much money is received by each charity?
(A)\(\frac{kd}{c}\) (B)\(\frac{c}{dk}\) (C)\(dk + c\) (D)\(\frac{dc}{k}\) (E)\((k - c)d\)
Output: | A | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation |
In this task, you are given a question in Persian, and your task is to translate it into English.
Input: آیا خوردن نان برای سلامتی مفید است؟
Output: | Is eating bread good for health? | task653_parsinlu_fa_en_translation |
This task is about reading the given passage and the question, return an incorrect answer to the given question.
Input: story: CHAPTER XXXVI.
TOM TRINGLE GETS AN ANSWER.
Faddle 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.
Nevertheless 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. ', question: 'Who took a job at a station by Albury?
Output: | TOM TRINGLE GETS AN ANSWER. | task919_coqa_incorrect_answer_generation |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Input: Vitesse head coach Peter Bosz has admitted he wanted to get Ruben Loftus-Cheek to move to Holland on loan, but that his growing first-team influence at Chelsea has made a move 'impossible'. Loftus-Cheek was criticised for a lack of effort in a post-season friendly against Melbourne by manager Jose Mourinho, but the Portuguese coach still sees the 19-year-old having a key role in his squad next season. Fellow Blues youth product Lewis Baker made the loan move to Arnhem last week in the latest in a string of link-ups between the two clubs but a move for Loftus-Cheek was clearly off the table.Vitesse coach Peter Bosz says he wanted Ruben Loftus-Cheek on loanBut move was made 'impossible' by his increasing first-team influenceDutch side have taken Lewis Baker on their latest loan from ChelseaA second Chelsea loanee is expected to be announced later this week
Questions:In March, Mourinho said: 'Next season Ruben Loftus-_ will be competing for a first-team position. (A) Vitesse (B) Peter Bosz (C) Ruben Loftus (D) Cheek (E) Holland (F) Chelsea (G) Loftus (H) Melbourne (I) Jose Mourinho (J) Portuguese (K) Fellow Blues (L) Lewis Baker (M) Arnhem (N) Dutch
Output: | (D) | task302_record_classification |
You are given a question on US high school level european history. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. The correct answer can be inferred from the information given in the question. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Input: This question refers to the following information.
Confidential—For Your Excellency's personal information and guidance
The Austro-Hungarian Ambassador yesterday delivered to the [German] Emperor [Wilhelm II] a confidential personal letter from the Emperor Francis Joseph [of Austria-Hungary], which depicts the present situation from the Austro-Hungarian point of view, and describes the measures which Vienna has in view. A copy is now being forwarded to Your Excellency. …
His Majesty desires to say that he is not blind to the danger which threatens Austria-Hungary and thus the Triple Alliance as a result of the Russian and Serbian Pan-Slavic agitation. … His Majesty will, furthermore, make an effort at Bucharest, according to the wishes of the Emperor Franz Joseph, to influence King Carol to the fulfilment of the duties of his alliance, to the renunciation of Serbia, and to the suppression of the Rumanian agitations directed against Austria-Hungary.
Finally, as far as concerns Serbia, His Majesty, of course, cannot interfere in the dispute now going on between Austria-Hungary and that country, as it is a matter not within his competence. The Emperor Franz Joseph may, however, rest assured that His Majesty will faithfully stand by Austria-Hungary, as is required by the obligations of his alliance and of his ancient friendship.
Theobald von Bethmann-Hollweg (chancellor of Germany), telegram to the German ambassador at Vienna, July 6, 1914
From the passage, one may infer that Bethmann-Hollweg's telegram is often referred to as Germany's "blank check" because
(A)it pledged Germany to join the Triple Alliance and support Austria-Hungary against the Triple Entente (B)it was understood to give Austria an unlimited scope of response to the assassination of Franz Ferdinand, to Serbia, and Pan-Slavism within the Austro-Hungarian Empire (C)it pledged Germany's unlimited support to Franz Joseph in his efforts to succeed the recently assassinated Franz Ferdinand (D)it offered nothing in terms of real support to Franz Joseph and Austria-Hungary
Output: | B | task702_mmmlu_answer_generation_high_school_european_history |
In this task, you will be shown a conversation and a question. You should categorize the question into matching, summary, logic, arithmetic and, commonsense groups. Matching is a question entailed or paraphrased by exactly one sentence in a dialogue. The answer can be extracted from the same sentence. Questions that cannot be answered by the surface meaning of a single sentence belong to the reasoning category. We further define summary, logic, arithmetic and, commonsense subcategories. Answering summary questions requires the whole picture of dialogue, such as the topic of dialogue and the relation between speakers. We require logical reasoning to answer logical questions. in arithmetic questions Inferring the answer requires arithmetic knowledge. To answer commonsense questions, besides the textual information in the dialogue, we also require additional commonsense knowledge that cannot be obtained from the dialogue. Note that a question can be in more than one group. "W" and "M" in the conversations stand for "woman" and "man".
Input: W: The film has been on for ten minutes. It's a pity you missed the first part. M: I was about to leave my house when I had an unexpected visitor. So I was a little late., Question: Why was the man late? (A) He had a visitor. (B) He missed the bus. (C) He forgot the time.
Output: | logic | task248_dream_classification |
Given a sentence in French, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: Pelmus a été exposé dans des musées en Roumanie, en France, en Allemagne, en Israël, au Canada, en Autriche, au Chili et au Brésil, y compris cinq expositions personnelles.
Output: | Pelmus a été exposé dans des musées de Roumanie, de France, d'Allemagne, d'Israël, du Canada, d'Autriche, du Chili et du Brésil, y compris cinq expositions personnelles. | task772_pawsx_french_text_modification |
In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Input: Umeme ulizimwa ndani ya nyumba.
(1)Nilitafuta tochi.(2)Niliokota koleo.
Output: | 1 | task1174_xcopa_commonsense_reasoning_sw |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Input: What is the part-of-speech tag of the word "sold" in the following question: The Date July 2005 was manufactured and sold by Taito in ?
Output: | CC | task347_hybridqa_incorrect_answer_generation |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: xname is the best restaurant because it is affordable and a Latin American place. It is in Manhattan with good decor, flavorful food and acceptable staff. ; Categories: qual, decor, price
Output: | qual[good], decor[good], price[affordable] | task1597_nyc_slot_filling |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Input: Question: Hemolysis in a serum sample interferes with the determination of the enzyme lactate dehydrogenase (LDH) due to:
Options: <0> The release of adenylate cyclase (catalyst enzyme of the reaction). <1> The interference produced by hemoglobin. <2> The high concentration of said enzyme in the cytoplasm of erythrocytes. <3> Hemolysis does not interfere in the determination of LDH. <4> The amount of lactate that is produced.
Output: | pharmacology | task1434_head_qa_classification |
Given a sentence in German, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Input: Chris Egan (Nick Smith) lässt sich mit seiner Familie in Summer Bay nieder, und er und Duncan werden schnell Freunde und geraten in verschiedene Krisen.
Output: | Nick Smith（Chris Egan）は彼の家族と一緒にSummer Bayに住み着き、彼とDuncanはすぐに友達になってさまざまなスクラップに入っていきます。 | task806_pawsx_german_japanese_translation |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Input: Entity 1: marinade
Entity 2: ingredient
Output: | yes | task472_haspart_classification |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Input: A man sitting up taking a nap on a park bench with an open umbrella protecting him from the sun.
Output: | Un bărbat șezând ia un pui de somn, pe o bancă în parc, cu o umbrelă deschisă care îl protejează de soare. | task1436_ro_sts_parallel_language_translation_en_to_ro |
You are provided with a user review of a restaurant. Your task is to classify the given review into two categories: 1) positive, and 2) negative based on its content.
Input: My husband and I have done business with Beaverton Toyota 3 times and each time, they've blown me away at the service they've provided (I mean that in a good way). We've had the following salesman help us over the years - Mo Jafari, Salah Husein, and Drew (can't remember his last name)....and we can't forget the one who has always been the one to 'make it all happen' - Josh Ford ( who was once the Sales Manager and now is a one of the Finance Managers). Each time we've gone in there, we presented them with some pretty tough challenges as to what we want to get out of and get in to, the negative equity that always seems to be involved, and the little down payment we never seem to have. But no matter how impossible our requests have seemed, they have always welcomed the challenges and have gone above and beyond to 'make it happen' for us and make sure we leave their lot a happy (and returning) customer. Just to share an example: My husband wanted a car on a Subaru lot really bad! But that dealership wouldn't give him the amount he wanted for his trade-in, so the numbers didn't work, which means he couldn't get the car. Well, when we told Beaverton Toyota about it, they went over to that Subaru lot, bought the car, brought it back to their lot, gave my husband what he was asking for his trade-in, and sold him the Subaru themselves! We were in shock and awe at how above and beyond they went. They don't try to convince you to 'settle for something else' because what you really want is too much of a challenge in making the numbers work. Their attitudes are 'BRING IT!' When it comes to the sales part of their jobs, they aren't pushy at all, annoying, or smothering, which I for one can highly appreciate as I HATE the car buying process (despite the fact that I've traded a car in almost every year for the past few years)! They show and express that they really care about what it is YOU want and also show that your safety and comfort (and that of your passengers) is important to them as well. They are always very patient (I speak from experience as I am not the easiest person to do business with), respectful, professional, and relaxed. If I ever had an issue with a car after purchasing it (which is rare), they are all over taking care of it like white on rice! I brag about these guys to everyone I know. They deserve it. I've been to so many other dealerships and I've never have had the kind of experience with them that I do with Beaverton Toyota. I think, given all the cars I've had over the past few years, and the fact that I LOVE the Toyota they put me in to recently, it will be a long while before I do any car shopping. But if and when I decide to car shop again, I won't be going anywhere else but there.
Output: | positive | task746_yelp_restaurant_review_classification |
You are given a math word problem and you are supposed to apply division mathematical operator on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Input: Context: Frank put some pieces of candy equally into 2 bags. If he had 16 pieces of candy
Question: How many pieces of candy are in each bag?
Output: | 8 | task754_svamp_common-division_question_answering |
In this task, you are given a set of paper reviews in English and Spanish language. Based on given reviews, your job is to generate decision, i.e., "accept" or "reject" for the given paper. Note that URLs in the text have been replaced with [Link].
Input: Review_1: RESUMEN: El trabajo se presenta y describa la aplicación de una red social para noticias (4x4News), donde las noticias más relevantes estarán presentes (entre otras características). Esta aplicación se caracteriza por una pantalla divida en una matriz de 16x16, donde cada celda es una noticia. EVALUACIÓN GENERAL: El trabajo está bien escrito y sigue un formato (casi) completamente adecuado para INFONOR. La aplicación suena interesante y potencialmente útil como un add-on para redes sociales ya comúnmente usadas (ej. Facebook). Hay varios puntos independientes que considero que son importantes de resolver: 1) Si bien es un trabajo de ingeniería interesante, no puedo ver cuál es el aporte/contribución desde el punto científico ¿Qué se puede re-utilizar de este trabajo para un futuro trabajo científico? 2) Dado que ustedes ofrecen una aplicación, creo que es fundamental un link para (com)probar esta aplicación. 3) En mi opinión, el sitio Web [Link] se aproxima a lo propuesto por este trabajo. Estó es así, porque terra permite registro de usuarios (perfiles), comentar noticias, valorar noticias, y configurar el sitio Web para mostrar las noticias que un usuario desea. 4) Este podría ser un detalle menor, pienso que el uso de redes sociales se podría usar para algo más que solamente mostrar la noticia más importante (ej. mostrar una especie de tracking (social) de una(s) noticia(s) similar). DETALLES MENORES: - Al final de la introducción, el uso de BOLD no es recomendado. - “Los titulares no realizan un buen análisis”. ¿Qué es un “buen” análisis?. Durante el trabajo, se observa varios adjetivos usados de manera ambiguas y que son innecesarios (ej. “complejo proceso” en la sección 2.1). - Dentro de la sección 2: “Desarrollo”, se encuentra el trabajo relacionado (sección 2.1). Esta sección debería ser re-estructurada. - Las citas del tipo “X, y otros, AÑO” (ej. sección 2.2 “Wilson, y otros, 2014”), creo que están incorrectas. Deberían usar “et al”. - Sección 2.2, ¿la coincidencia de palabras es suficiente para decir que dos noticias son similares? Creo que un análsis más profundo es un necesario. - Explicar un poco más el concepto “bundles”. - En las referencias se usan números [1], pero en el texto no usa números. Recomiendo seguir el formato de INFONOR. Review_2: Paper fácil de leer y bien escrito. Está en la línea de los trabajos de INFONOR. Sin embargo, no queda claro cómo aplica la "Teoría de la relevancia", es demasiado escueto en este ámbito del artículo que a mi parecer es lo más importante. Por lo que no es posible dar una opinión certera sobre el trabajo. Se sugiere expandir la sección 2.2, en lo referente a cómo los aspectos para determinar la relevancia son utilizados o mezclados para determinar si una "news" es relevante o no. La herramienta elaborada es interesante como también los elementos utilizados en su desarrollo.
Output: | reject | task264_paper_reviews_accept_or_reject_classification |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: "សូមអោយពួកគេបានទៅកាន់សុខតិភព ហើយសូមអោយគ្រួសាររបស់ពួកគេទទួលបាននូវភាពធូរស្រាលក្នុងថ្ងៃដ៏តានតឹងខាងមុខ។"
Output: | 「願わくは、彼らに心安らかな休息を与えたまえ、彼らの家族のこれから先の過酷な日々の中に慰めを与えたまえ。」 | task1122_alt_khm_ja_translation |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: What do custom designed homes conform no I mean dictate in the area?
Output: | What do custom designed homes dictate in the area? | task1195_disflqa_disfluent_to_fluent_conversion |
Write the right answer to the question based on the context passage.
Input: New sexual harassment and racial discrimination lawsuits are rocking the already scandal riddled Fox News Channel.
Three new lawsuits were filed Monday in U.S. District Court for the Southern District of New York. Two allege racial harassment at Fox News, while a third alleges sexual harassment at Fox News Radio.
The cases increase to 23 the number of past or present Fox employees represented by attorney Doug Wigdor, the majority having cases alleging racial hostility by a since-fired financial executive. Fox said Monday that the lawsuits have no legal basis.
Kathleen Lee, a Fox News Radio employee of more than 10 years, alleges that radio anchor Ron Flatter subjected her to "unrelenting sexual harassment" after the network hired him in 2013.
A former Fox employee, Adasa Blanco, said she alerted Fox executives about racially hostile behavior on the part of former Fox controller Judith Slater more than eight years before the executive was let go. Slater has denied charges of racially hostile conduct. Blanco, who is Hispanic, said that Slater made fun of her accent.
In the lawsuit, Wigdor said Fox "knowingly harbored and protected" a racist employee for more than eight years and misrepresented to the public that it fired Slater quickly upon learning of her behavior.
Naima Farrow, another former Fox employee who worked for Slater, said she was fired without warning or explanation in 2015, less than three days after telling superiors she was pregnant. Farrow, who is black, said Slater mockingly referred to her as "girlfriend."
Fox News said in a statement that it is committed to a diverse workplace free from discrimination, and takes any complaint seriously. In these cases, Fox "took prompt, effective and, when necessary, strong remedial action," the network said. "We believe these latest claims are without legal basis and look forward to proving that the company at all times has acted appropriately, and lawfully, in connection with these matters."
The new legal claims come as Fox News is battling a series of lawsuits that led to the resignations of former chief executive Roger Ailes, who died last week, star anchor Bill O'Reilly and network co-president Bill Shine. Question: Who are the two that allege racial harassment?
Output: | Naima Farrow and Adasa Blanco | task887_quail_answer_generation |
In this task, you are given a sentence in Polish language and its corresponding English translation. Here, your job is to output label "yes" if the translation is correct, otherwise output "no".
Input: Polish: Powiedzmy, że mamy strzałkę przed lustrem,
English: Let's just say we have an arrow in front of the mirror, just so you get used to this notation
Output: | yes | task832_poleval2019_mt_classification |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Input: Don't live where you’re not wanted. Deport Jews and Muslims
Output: | religious hate | task1607_ethos_text_classification |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Input: Personality: I like to skateboard.
I like the guitar.
I'm a vegan.
I like to go for bike rides.
Chat history: -I'm sitting here playing the guitar and wanted to say hi.
-Hi. The guitar is cool, but I personally prefer playing piano.
-I took lessons years ago and I'm not very good, but I love listening.
-That is nice. What else has been going on?
-I am looking for some new vegan recipes online and cannot seem to find anything good.
-Hm. I don't know much about that. I am more into making clothes than food.
-That is neat my aunt mary used to sew, she's gone I miss her.
-I am sorry to hear that. Its a good skill to learn.
Candidates 1) True. Also, horses hate the sky. 2) Yes, I made some pants in school many years ago... lol. 3) I live in Ohio on a small farm, you? 4) I am in to robotics.
Output: | Yes, I made some pants in school many years ago... lol. | task1730_personachat_choose_next |
In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user command.
Input: I've put that on your calendar. __BREAK How's this?
Output: | first one is good. I also have my balloon meeting on Sunday at 8 pm with abby | task1600_smcalflow_sentence_generation |
Given a sentence in French, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: Le gouvernement argentin est resté neutre jusqu'aux derniers jours de la guerre, mais a discrètement toléré l'entrée des dirigeants nazis qui avaient fui l'Allemagne, la Belgique et Vichy-France en 1945.
Output: | Le gouvernement argentin est resté neutre jusqu'aux derniers jours de la guerre, mais a discrètement toléré l'entrée des dirigeants nazis fuyant Vichy, la France, la Belgique et l'Allemagne en 1945. | task772_pawsx_french_text_modification |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: System Reference: may i help you further?
Original Reference: can i confirm you are requesting more information?.
Output: | 1 | task1283_hrngo_quality_classification |
Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5 words long.
Input: The South China Sea is a marginal sea that is part of the Pacific Ocean , encompassing an area from the Karimata and Malacca Straits to the Strait of Taiwan of around 3,500,000 square kilometres ( 1,400,000 sq mi ) . The sea carries tremendous strategic importance ; one - third of the world 's shipping passes through it carrying over $3 trillion in trade each year , it contains lucrative fisheries that are crucial for the food security of millions in Southeast Asia , and huge oil and gas reserves are believed to lie beneath its seabed .
Output: | South China Sea | task769_qed_summarization |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Input: A Review of Joe LoGalbo's Anabolic Running Guide - Fitness Rebates
Output: | English | task1618_cc_alligned_classify_tel_eng |
Given a text, write a compressed version of it in a single sentence.
Input: Travelers estimated that the California earthquake last month will result in a fourth - quarter pre-tax charge of less than $10 million.
Output: | Travelers estimates the latest California quake will result in a pre-tax charge of <$10 million. | task1340_msr_text_compression_compression |
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic' or 'Asian'. Output 'None' if the tweet does not target any community. A tweet targets only one community.
Input: filthy jet black nigga backstage full of white bitches no i do not sell like macklemore but i have got white privilege
Output: | African | task1503_hatexplain_classification |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Input: Context: Yuri Viktorovich Fedotov (Russian: Ю́рий Ви́кторович Федо́тов born 1947) is a high level diplomat of the Russian Federation.
Question: The document can be classified to which topic?
Options: 1)Plant, 2)Athlete, 3)Building, 4)OfficeHolder, 5)EducationalInstitution
Output: | 4 | task633_dbpedia_14_answer_generation |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Input: Question: Does nimesulide , a COX-2 inhibitor , reduce lesion size or number in a nude mouse model of endometriosis?
Answer: The hypothesized biological properties of COX-2 inhibition did not influence lesion number or size in the nude mouse model of endometriosis.
Output: | no | task846_pubmedqa_classification |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Input: Because everyone knows this islam men is the devil
Output: | religious hate | task1607_ethos_text_classification |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: A very informative book. Easy to understand, makes sense of complicated concepts. Would definitely suggest for every business owner. Thanks
Output: | Good Review | task929_products_reviews_classification |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: 幸いなことに 20世紀の最大の科学的な成果の中にその背後を理解する鍵になるものがあります
Output: | Afortunadamente, temos ó que é probablemente un dos meirandes descubrimentos centíficos do século 20 respaldando ese patrón. | task1095_ted_translation_ja_gl |
In this task, given a sentence in the English language, and your task is to convert it into the Burmese language.
Input: The change has taken about a year and a half, since the first changes of some workstations and servers of Radiobrás.
Output: | ဒီပြောင်းလဲမှု သည် ကွန်ပျူတာခန်း အချို့ နှင့် ရေဒီယိုဘရာစ် ၏ ဆာဗာများ ၏ ပထမပြောင်းလဲမှုများကြောင့် ၊ တစ်နှစ်နှင့်ခြောက်လ ခန့် ကြာသည် ။ | task552_alt_translation_en_bu |