Datasets:
masoudc
/
active-llm-datasets_acquired_dataset_entropy_budget50000_iter2

Dataset card Data Studio Files Community
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23
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Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence. જે પરિયોજનાઓનું આજે ઉદઘાટન કરવામાં આવ્યું હતું અને જેની શિલાન્યાસ વિધિ કરવામાં આવી હતી તેનું એકંદર મૂલ્ય રૂ.
ఈ రోజున ప్రారంభ‌మైన లేదా శంకుస్థాప‌న జ‌రిగిన ప‌థ‌కాల మొత్తం విలువ 550 కోట్ల రూపాయ‌లకు పైగా ఉంది.
5
NIv2
task1013_pib_translation_gujarati_telugu
zs_opt
[ { "content": "Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.\n\nજે પરિયોજનાઓનું આજે ઉદઘાટન કરવામાં આવ્યું હતું અને જેની શિલાન્યાસ વિધિ કરવામાં આવી હતી તેનું એકંદર મૂલ્ય રૂ.\n", "role": "user" }, { "content": "ఈ రోజున ప్రారంభ‌మైన లేదా శంకుస్థాప‌న జ‌రిగిన ప‌థ‌కాల మొత్తం విలువ 550 కోట్ల రూపాయ‌లకు పైగా ఉంది.", "role": "assistant" } ]
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence. જે પરિયોજનાઓનું આજે ઉદઘાટન કરવામાં આવ્યું હતું અને જેની શિલાન્યાસ વિધિ કરવામાં આવી હતી તેનું એકંદર મૂલ્ય રૂ.
ఈ రోజున ప్రారంభ‌మైన లేదా శంకుస్థాప‌న జ‌రిగిన ప‌థ‌కాల మొత్తం విలువ 550 కోట్ల రూపాయ‌లకు పైగా ఉంది.
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Jenom žvaníš! Which language is this? Language: Czech Já jsem Toma nezabila. Which language is this? Language: Czech Předmět: Označení „bez GMO“ Which language is this? Language: Czech Potácela se nahoru, paži znecitlivělou, snažila se dostat se ke kotvicím věžím, systémům udržujícím život a spojovacím kabelům... od vchodu do lodě jí nad hlavou zapraskaly výstřely. Which language is this? Language:
Czech
4
Flan2021
wmt16_translate/cs-en:1.0.0
fs_opt
[ { "content": "Jenom žvaníš!\n\nWhich language is this?\n\nLanguage: Czech\n\n\nJá jsem Toma nezabila.\n\nWhich language is this?\n\nLanguage: Czech\n\n\nPředmět: Označení „bez GMO“\n\nWhich language is this?\n\nLanguage: Czech\n\n\nPotácela se nahoru, paži znecitlivělou, snažila se dostat se ke kotvicím věžím, systémům udržujícím život a spojovacím kabelům... od vchodu do lodě jí nad hlavou zapraskaly výstřely.\n\nWhich language is this?\n\nLanguage:", "role": "user" }, { "content": "Czech", "role": "assistant" } ]
Jenom žvaníš! Which language is this? Language: Czech Já jsem Toma nezabila. Which language is this? Language: Czech Předmět: Označení „bez GMO“ Which language is this? Language: Czech Potácela se nahoru, paži znecitlivělou, snažila se dostat se ke kotvicím věžím, systémům udržujícím život a spojovacím kabelům... od vchodu do lodě jí nad hlavou zapraskaly výstřely. Which language is this? Language:
Czech
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Teacher:In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character. Teacher: Now, understand the problem? Solve this instance: Sedang ada hujan lebat. Saya berlari untuk masuk ke gedung. Student:
effect
6
NIv2
task1171_xcopa_commonsense_cause_effect_id
zs_opt
[ { "content": "Teacher:In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as \"cause\" or \"effect\" based on your judgment. The sentences are separated by a newline character.\nTeacher: Now, understand the problem? Solve this instance: Sedang ada hujan lebat.\nSaya berlari untuk masuk ke gedung.\nStudent:", "role": "user" }, { "content": "effect", "role": "assistant" } ]
Teacher:In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character. Teacher: Now, understand the problem? Solve this instance: Sedang ada hujan lebat. Saya berlari untuk masuk ke gedung. Student:
effect
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Test for natural language inference. Premise: "A team of male construction workers are carrying a beam." Hypothesis: "Workers are sleeping under a tree." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell Let's be accurate as possible and think first.
Carrying a beam and sleeping cannot be done at the same time. Final answer: no.
6
CoT
cot_esnli
zs_opt
[ { "content": "Test for natural language inference.\nPremise: \"A team of male construction workers are carrying a beam.\"\nHypothesis: \"Workers are sleeping under a tree.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- no\n- it is not possible to tell Let's be accurate as possible and think first.", "role": "user" }, { "content": "Carrying a beam and sleeping cannot be done at the same time. Final answer: no.", "role": "assistant" } ]
Test for natural language inference. Premise: "A team of male construction workers are carrying a beam." Hypothesis: "Workers are sleeping under a tree." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell Let's be accurate as possible and think first.
Carrying a beam and sleeping cannot be done at the same time. Final answer: no.
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Question: Is the following statement true? "A Transformer can turn into a robot or a vehicle." Ans and explanation: The answer is no. Explanation: This type of transformer is an electrical transformer on a utility pole and not the fictional kind. Question: Does the following sentence make sense? "The Little Prince gained fame as an extremely short historical British monarch." Options: - yes - no Ans and explanation: The answer is no. Explanation: The Little Prince became a widely read novel about a fictional character. Question: Is the following sentence factually correct? "Sally Ride tragically lost her life in an automobile accident." Options: - yes - no Ans and explanation: The answer is no. Explanation: Sally Ride unfortunately died of pancreatic cancer in 2012. Question: Is the following statement true? "Akon has released a series of albums." Ans and explanation:
The answer is yes. Explanation: Akon is a popular musician that released many popular songs.
4
CoT
cot_creak
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[ { "content": "Question: Is the following statement true?\n\"A Transformer can turn into a robot or a vehicle.\"\nAns and explanation: The answer is no.\nExplanation: This type of transformer is an electrical transformer on a utility pole and not the fictional kind.\n\nQuestion: Does the following sentence make sense?\n\"The Little Prince gained fame as an extremely short historical British monarch.\"\nOptions:\n- yes\n- no\nAns and explanation: The answer is no.\nExplanation: The Little Prince became a widely read novel about a fictional character.\n\nQuestion: Is the following sentence factually correct?\n\"Sally Ride tragically lost her life in an automobile accident.\"\nOptions:\n- yes\n- no\nAns and explanation: The answer is no.\nExplanation: Sally Ride unfortunately died of pancreatic cancer in 2012.\n\nQuestion: Is the following statement true?\n\"Akon has released a series of albums.\"\nAns and explanation:", "role": "user" }, { "content": "The answer is yes.\nExplanation: Akon is a popular musician that released many popular songs.", "role": "assistant" } ]
Question: Is the following statement true? "A Transformer can turn into a robot or a vehicle." Ans and explanation: The answer is no. Explanation: This type of transformer is an electrical transformer on a utility pole and not the fictional kind. Question: Does the following sentence make sense? "The Little Prince gained fame as an extremely short historical British monarch." Options: - yes - no Ans and explanation: The answer is no. Explanation: The Little Prince became a widely read novel about a fictional character. Question: Is the following sentence factually correct? "Sally Ride tragically lost her life in an automobile accident." Options: - yes - no Ans and explanation: The answer is no. Explanation: Sally Ride unfortunately died of pancreatic cancer in 2012. Question: Is the following statement true? "Akon has released a series of albums." Ans and explanation:
The answer is yes. Explanation: Akon is a popular musician that released many popular songs.
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Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with 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. Problem:Sentence 1: A little girl in a pink shirt holding headphones in a grassy area. Sentence 2: the little girl is alone Solution:
The little girl likes to listen to music.
8
NIv2
task186_snli_contradiction_to_entailment_text_modification
zs_opt
[ { "content": "Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with 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.\nProblem:Sentence 1: A little girl in a pink shirt holding headphones in a grassy area. Sentence 2: the little girl is alone\nSolution:", "role": "user" }, { "content": "The little girl likes to listen to music.", "role": "assistant" } ]
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with 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. Problem:Sentence 1: A little girl in a pink shirt holding headphones in a grassy area. Sentence 2: the little girl is alone Solution:
The little girl likes to listen to music.
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What is the solution to this math problem? Solve -188 = 10*i - 57*i for i.
4
5
Flan2021
math_dataset/algebra__linear_1d:1.0.0
zs_opt
[ { "content": "What is the solution to this math problem?\nSolve -188 = 10*i - 57*i for i.", "role": "user" }, { "content": "4", "role": "assistant" } ]
What is the solution to this math problem? Solve -188 = 10*i - 57*i for i.
4
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instruction: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question. question: Do you like doing yard work? answer: Y has just moved into a neighbourhood and meets his/her new neighbour X. question: Have you run into anyone else from the old 'hood? answer: X and Y are childhood neighbours who unexpectedly run into each other at a cafe. question: Do you work in town? answer:
X and Y are childhood neighbours who unexpectedly run into each other at a cafe.
9
NIv2
task567_circa_text_generation
fs_opt
[ { "content": "instruction:\nIn this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.\nquestion:\nDo you like doing yard work?\nanswer:\nY has just moved into a neighbourhood and meets his/her new neighbour X.\n\n\nquestion:\nHave you run into anyone else from the old 'hood?\nanswer:\nX and Y are childhood neighbours who unexpectedly run into each other at a cafe.\n\n\nquestion:\nDo you work in town?\nanswer:\n", "role": "user" }, { "content": "X and Y are childhood neighbours who unexpectedly run into each other at a cafe.\n\n\n", "role": "assistant" } ]
instruction: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question. question: Do you like doing yard work? answer: Y has just moved into a neighbourhood and meets his/her new neighbour X. question: Have you run into anyone else from the old 'hood? answer: X and Y are childhood neighbours who unexpectedly run into each other at a cafe. question: Do you work in town? answer:
X and Y are childhood neighbours who unexpectedly run into each other at a cafe.
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In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list. Q: [66, 3] A: [33, 10] **** Q: [13, 38, 5] A: [40, 19, 16] **** Q: [49, 15, 169, 160, 156] A:
[148, 46, 508, 80, 78] ****
4
NIv2
task206_collatz_conjecture
fs_opt
[ { "content": "In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.\n\nQ: [66, 3]\n\nA: [33, 10]\n****\nQ: [13, 38, 5]\n\nA: [40, 19, 16]\n****\nQ: [49, 15, 169, 160, 156]\n\nA:", "role": "user" }, { "content": "[148, 46, 508, 80, 78]\n****\n", "role": "assistant" } ]
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list. Q: [66, 3] A: [33, 10] **** Q: [13, 38, 5] A: [40, 19, 16] **** Q: [49, 15, 169, 160, 156] A:
[148, 46, 508, 80, 78] ****
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Definition: In this task, you need to replace a letter in the sentence with another given letter. Input: Sentence: 'a man pours some wine from the bottle to the wineglass'. Replace the letter 'i' with 'b' in the sentence. Output:
a man pours some wbne from the bottle to the wbneglass
2
NIv2
task160_replace_letter_in_a_sentence
zs_opt
[ { "content": "Definition: In this task, you need to replace a letter in the sentence with another given letter.\nInput: Sentence: 'a man pours some wine from the bottle to the wineglass'. Replace the letter 'i' with 'b' in the sentence.\nOutput:", "role": "user" }, { "content": "a man pours some wbne from the bottle to the wbneglass", "role": "assistant" } ]
Definition: In this task, you need to replace a letter in the sentence with another given letter. Input: Sentence: 'a man pours some wine from the bottle to the wineglass'. Replace the letter 'i' with 'b' in the sentence. Output:
a man pours some wbne from the bottle to the wbneglass
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In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Input: Consider Input: 1, 2, ['8375', '1289', 'j', '6609', '7639', '9131', 'j'] Output: 8375, 1289 Input: Consider Input: 4, 5, ['1057', '3153', '4865', 'b', 'u', '5127'] Output: b, u Input: Consider Input: 6, 18, ['7447', 'Z', '2627', 'i', '4463', '2225', '8777', 'g', 'b', '2191', 'A', 'j', '5669', 'R', '7529', 'G', 'C', 'q', 'N', '389', '9847', '3393', 'X', 'F', '4949', 'k', '1563', 't', 'G']
Output: 2225, 8777, g, b, 2191, A, j, 5669, R, 7529, G, C, q
2
NIv2
task091_all_elements_from_index_i_to_j
fs_opt
[ { "content": "In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.\n\nInput: Consider Input: 1, 2, ['8375', '1289', 'j', '6609', '7639', '9131', 'j']\n\nOutput: 8375, 1289\n\n\nInput: Consider Input: 4, 5, ['1057', '3153', '4865', 'b', 'u', '5127']\n\nOutput: b, u\n\n\nInput: Consider Input: 6, 18, ['7447', 'Z', '2627', 'i', '4463', '2225', '8777', 'g', 'b', '2191', 'A', 'j', '5669', 'R', '7529', 'G', 'C', 'q', 'N', '389', '9847', '3393', 'X', 'F', '4949', 'k', '1563', 't', 'G']\n\n", "role": "user" }, { "content": "Output: 2225, 8777, g, b, 2191, A, j, 5669, R, 7529, G, C, q\n\n\n", "role": "assistant" } ]
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Input: Consider Input: 1, 2, ['8375', '1289', 'j', '6609', '7639', '9131', 'j'] Output: 8375, 1289 Input: Consider Input: 4, 5, ['1057', '3153', '4865', 'b', 'u', '5127'] Output: b, u Input: Consider Input: 6, 18, ['7447', 'Z', '2627', 'i', '4463', '2225', '8777', 'g', 'b', '2191', 'A', 'j', '5669', 'R', '7529', 'G', 'C', 'q', 'N', '389', '9847', '3393', 'X', 'F', '4949', 'k', '1563', 't', 'G']
Output: 2225, 8777, g, b, 2191, A, j, 5669, R, 7529, G, C, q
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Definition: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence. Input: पंतप्रधान नरेंद्र मोदी यांनी हवाई दल दिनानिमित्त वायू योद्धे आणि त्यांच्या कुटुंबांना सलाम केला आहे. Output:
وزیراعظم نے ،یوم فضائیہ کے موقع پرفضائی جانبازوں اور ان کے کنبوں کو سلام عقیدت پیش کیا
2
NIv2
task989_pib_translation_marathi_urdu
zs_opt
[ { "content": "Definition: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.\nInput: पंतप्रधान नरेंद्र मोदी यांनी हवाई दल दिनानिमित्त वायू योद्धे आणि त्यांच्या कुटुंबांना सलाम केला आहे.\nOutput:", "role": "user" }, { "content": "وزیراعظم نے ،یوم فضائیہ کے موقع پرفضائی جانبازوں اور ان کے کنبوں کو سلام عقیدت پیش کیا", "role": "assistant" } ]
Definition: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence. Input: पंतप्रधान नरेंद्र मोदी यांनी हवाई दल दिनानिमित्त वायू योद्धे आणि त्यांच्या कुटुंबांना सलाम केला आहे. Output:
وزیراعظم نے ،یوم فضائیہ کے موقع پرفضائی جانبازوں اور ان کے کنبوں کو سلام عقیدت پیش کیا
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Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly 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. Teacher: Now, understand the problem? If you are still confused, see the following example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon. Solution: Tom had never been in the store. Reason: Tom must have gone into the store to come out of it. Now, solve this instance: Sentence 1: People are outside next to coolers and bags drinking. Sentence 2: People are enjoying a beach party. Student:
There are many people gathered.
2
NIv2
task189_snli_neutral_to_contradiction_text_modification
fs_opt
[ { "content": "Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly 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.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nSentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.\nSolution: Tom had never been in the store.\nReason: Tom must have gone into the store to come out of it.\n\nNow, solve this instance: Sentence 1: People are outside next to coolers and bags drinking. Sentence 2: People are enjoying a beach party.\nStudent:", "role": "user" }, { "content": "There are many people gathered.", "role": "assistant" } ]
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly 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. Teacher: Now, understand the problem? If you are still confused, see the following example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon. Solution: Tom had never been in the store. Reason: Tom must have gone into the store to come out of it. Now, solve this instance: Sentence 1: People are outside next to coolers and bags drinking. Sentence 2: People are enjoying a beach party. Student:
There are many people gathered.
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You will be given a definition of a task first, then some input of the task. Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil. @Priyanka adha yen ingayum.vandhu polambura Output:
Not Hope Speech
1
NIv2
task680_hope_edi_tamil_text_classification
zs_opt
[ { "content": "You will be given a definition of a task first, then some input of the task.\nGiven a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.\n\n@Priyanka adha yen ingayum.vandhu polambura\nOutput:", "role": "user" }, { "content": "Not Hope Speech", "role": "assistant" } ]
You will be given a definition of a task first, then some input of the task. Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil. @Priyanka adha yen ingayum.vandhu polambura Output:
Not Hope Speech
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Q: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A ' ' separates the statements. Use "first" or "second" to indicate which sentence makes less sense. "It's none of your business", said the staff, apparently he wants to shirk responsibility "It's your business", said the staff, apparently he wants to shirk responsibility A:
first
7
NIv2
task291_semeval_2020_task4_commonsense_validation
zs_opt
[ { "content": "Q: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '\n' separates the statements. Use \"first\" or \"second\" to indicate which sentence makes less sense.\n\"It's none of your business\", said the staff, apparently he wants to shirk responsibility\n\"It's your business\", said the staff, apparently he wants to shirk responsibility\nA:", "role": "user" }, { "content": "first", "role": "assistant" } ]
Q: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A ' ' separates the statements. Use "first" or "second" to indicate which sentence makes less sense. "It's none of your business", said the staff, apparently he wants to shirk responsibility "It's your business", said the staff, apparently he wants to shirk responsibility A:
first
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It gives public agencies such as police forces and government departments more time to report their inventory in accordance with the revised requirements. Translate to French.
Cela accorde plus de temps aux agences publiques telles que les services de police et les ministères gouvernementaux pour déclarer leur inventaire en conformité avec les exigences révisées.
0
Flan2021
wmt14_translate/fr-en:1.0.0
zs_opt
[ { "content": "It gives public agencies such as police forces and government departments more time to report their inventory in accordance with the revised requirements.\n\nTranslate to French.", "role": "user" }, { "content": "Cela accorde plus de temps aux agences publiques telles que les services de police et les ministères gouvernementaux pour déclarer leur inventaire en conformité avec les exigences révisées.", "role": "assistant" } ]
It gives public agencies such as police forces and government departments more time to report their inventory in accordance with the revised requirements. Translate to French.
Cela accorde plus de temps aux agences publiques telles que les services de police et les ministères gouvernementaux pour déclarer leur inventaire en conformité avec les exigences révisées.
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Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian. Input: She was in a state of mind to be glad that she had secured her fate beyond recall: Output:
با آن حالت روحی‌اش خوشحال بود که سرنوشت خود را رقم زده است … بار دیگر با ساترتن تجدید میثاق کرده است …
2
NIv2
task661_mizan_en_fa_translation
zs_opt
[ { "content": "Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.\nInput: She was in a state of mind to be glad that she had secured her fate beyond recall:\nOutput:", "role": "user" }, { "content": "با آن حالت روحی‌اش خوشحال بود که سرنوشت خود را رقم زده است … بار دیگر با ساترتن تجدید میثاق کرده است …", "role": "assistant" } ]
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian. Input: She was in a state of mind to be glad that she had secured her fate beyond recall: Output:
با آن حالت روحی‌اش خوشحال بود که سرنوشت خود را رقم زده است … بار دیگر با ساترتن تجدید میثاق کرده است …
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How is "“At its 4228th meeting, held in private on 20 November 2000, the Security Council considered the item entitled `The situation in East Timor'." said in French?
« À sa 4228e séance tenue à huis clos le 20 novembre 2000, le Conseil de sécurité a examiné le point intitulé “La situation au Timor oriental”.
6
Flan2021
wmt14_translate/fr-en:1.0.0
zs_opt
[ { "content": "How is \"“At its 4228th meeting, held in private on 20 November 2000, the Security Council considered the item entitled `The situation in East Timor'.\" said in French?", "role": "user" }, { "content": "« À sa 4228e séance tenue à huis clos le 20 novembre 2000, le Conseil de sécurité a examiné le point intitulé “La situation au Timor oriental”.", "role": "assistant" } ]
How is "“At its 4228th meeting, held in private on 20 November 2000, the Security Council considered the item entitled `The situation in East Timor'." said in French?
« À sa 4228e séance tenue à huis clos le 20 novembre 2000, le Conseil de sécurité a examiné le point intitulé “La situation au Timor oriental”.
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You will be given a definition of a task first, then some input of the task. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Head: PersonX learns how to skate<sep>Tail: PersonX buys skates Output:
Yes
1
NIv2
task1205_atomic_classification_isafter
zs_opt
[ { "content": "You will be given a definition of a task first, then some input of the task.\nIn this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nHead: PersonX learns how to skate<sep>Tail: PersonX buys skates\nOutput:", "role": "user" }, { "content": "Yes", "role": "assistant" } ]
You will be given a definition of a task first, then some input of the task. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Head: PersonX learns how to skate<sep>Tail: PersonX buys skates Output:
Yes
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Premise: "A large group of people at a protest." Hypothesis: "The people were protesting against gay rights." Is the hypothesis entailed by the premise? Options: - yes - it is not possible to tell - no Now, let's be accurate as possible. Some thinking first:
Just because a large group of people are at a protest doesn't mean they are protesting gay rights. So, the answer is it is not possible to tell.
3
CoT
cot_esnli
zs_opt
[ { "content": "Premise: \"A large group of people at a protest.\"\nHypothesis: \"The people were protesting against gay rights.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- it is not possible to tell\n- no Now, let's be accurate as possible. Some thinking first:", "role": "user" }, { "content": "Just because a large group of people are at a protest doesn't mean they are protesting gay rights. So, the answer is it is not possible to tell.", "role": "assistant" } ]
Premise: "A large group of people at a protest." Hypothesis: "The people were protesting against gay rights." Is the hypothesis entailed by the premise? Options: - yes - it is not possible to tell - no Now, let's be accurate as possible. Some thinking first:
Just because a large group of people are at a protest doesn't mean they are protesting gay rights. So, the answer is it is not possible to tell.
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In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified. Q: Statement: The Gulchers--Bob Livingston, Haley Barbour, Tommy Boggs--are Washington High's most successful graduates. Label: neutral. Genre: slate. A:
Washington High's most successful graduates are the Gulchers, whom are each successful in their careers.
4
NIv2
task203_mnli_sentence_generation
zs_opt
[ { "content": "In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified.\nQ: Statement: The Gulchers--Bob Livingston, Haley Barbour, Tommy Boggs--are Washington High's most successful graduates.\nLabel: neutral.\nGenre: slate.\nA: ", "role": "user" }, { "content": "Washington High's most successful graduates are the Gulchers, whom are each successful in their careers.", "role": "assistant" } ]
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified. Q: Statement: The Gulchers--Bob Livingston, Haley Barbour, Tommy Boggs--are Washington High's most successful graduates. Label: neutral. Genre: slate. A:
Washington High's most successful graduates are the Gulchers, whom are each successful in their careers.
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ. ಬಾಬ್ ಎಲ್ ಮಾನ್‌ಡೆಬ್ ಮತ್ತು ಆಡೆನ್ ಕೊಲ್ಲಿ ಮೂಲಕ ದಕ್ಷಿಣದಲ್ಲಿ ಸಂಪರ್ಕವನ್ನು ಪಡೆದಿದೆ. ಉತ್ತರದಲ್ಲಿ ಸಿನಾಯ್ ಪರ್ಯಾಯದ್ವೀಪ ಅಖಾಬಾ ಕೊಲ್ಲಿ ಮತ್ತು ಸುಯೋಜ್ ಕೊಲ್ಲಿ ಸುಯೋಜ್ ಕಾಲುವೆಗೆ ಸೇರುತ್ತದೆ). ಕೆಂಪು ಸಮುದ್ರವು ಜಾಗತಿಕವಾಗಿ 200 ಪರಿಸರ ಪ್ರದೇಶವಾಗಿದೆ. Option A: ಆಫ್ರಿಕಾವನ್ನು Option B: ಮರುಭೂಮಿ Option C: ಆಫ್ರಿಕಾ Option D: ಏಷ್ಯಾ Solution: ಆಫ್ರಿಕಾ Why? As the Red sea is located near Africa the most appropriate word to replace the <MASK> token is ಆಫ್ರಿಕಾ . New input: Statement: ಒಟ್ಟು ಈ ಸ್ಪರ್ಧೆಯಲ್ಲಿ ಪಾಲ್ಗೊಂಡ ಅಭ್ಯರ್ಥಿಗಳ ಸಂಖ್ಯೆ, ೩,೦೦೦. ಅವುಗಳಲ್ಲಿ ಅಂತಿಮಸುತ್ತಿನಲ್ಲಿ ೫ ಚಿಹ್ನೆಗಳನ್ನು ಆಯ್ಕೆಮಾಡಲಾಯಿತು. ಈ ಚಿಹ್ನೆಗಳ ವಿನ್ಯಾಸಕಾರರನ್ನು 'ಭಾರತೀಯ ರಿಸರ್ವ್ ಬ್ಯಾಂಕ್', ೨೦೦೯ರ ಡಿಸೆಂಬರಿನಲ್ಲಿ ಅಹ್ವಾನಿಸಲಾಗಿತ್ತು ತಮ್ಮ-ತಮ್ಮ ಚಿಹ್ನೆಗಳ ಬಗ್ಗೆ ವಿಸ್ತೃತ ಮಾಹಿತಿಗಳನ್ನು ಒದಗಿಸಲು, ಪ್ರಾತ್ಯಕ್ಷಿಕೆಗಳನ್ನು ತೋರಿಸುವಂತೆ ಕೋರಿತ್ತು. ಹೊಸ ಚಿಹ್ನೆ ರಚೇತ ಪ್ರೊ. ಉದಯಕುಮಾರ್ ರವರು ೨.೫ ಲಕ್ಷ ರೂಪಾಯಿಗಳ ಗೌರವಧನವನ್ನು ಪಡೆಯುತ್ತಾರೆ. ಆದರೆ ಅವರಿಗೆ ವೈಯಕ್ತಿಕ ಹಕ್ಕುಸ್ವಾಮ್ಯ ದೊರೆಯುವುದಿಲ್ಲ. ಮುದ್ರಣಕ್ಕೆ ಅನುಕೂಲವಾಗುವಂತೆ, ಗಣಕಯಂತ್ರದ ಕೀಲಿಮಣೆಗಳಲ್ಲಿ ಮತ್ತು ಇತರೆ ತಂತ್ರಾಂಶಗಳಲ್ಲಿ ಈ ಚಿಹ್ನೆ ಅತಿಶೀಘ್ರವಾಗಿ ಕಾಣಿಸಿಕೊಳ್ಳಲಿದೆ. ಹೊಸಚಿಹ್ನೆಯ ಬಳಕೆಯನ್ನು ಭಾರತದಲ್ಲಿ ಮುಂದಿನ ೬ ತಿಂಗಳಿನಲ್ಲಿ ವ್ಯವಹಾರದಲ್ಲಿ ಜಾರಿಗೆ ತರಲಾಗುವುದು. ಅಂತಾರಾಷ್ಟ್ರೀಯ ಮಟ್ಟದಲ್ಲಿ ಇದಕ್ಕೆ ೧೮-೨೪ ತಿಂಗಳು ಹಿಡಿಯುತ್ತದೆ. <MASK>, ನೇಪಾಳ, ಶ್ರೀಲಂಕಾ, ಇಂಡೊನೇಷ್ಯಾ, ರಾಷ್ಟ್ರಗಳ ರುಪೀ ಅಥವಾ ರುಪಯ್ಯಾ ದಿಂದ ಭಾರತೀಯ-ರೂಪಾಯಿ ಇನ್ನುಮುಂದೆ ಪ್ರತ್ಯೇಕವಾಗಿ ಗುರುತಿಸಿಕೊಳ್ಳಬಹುದಾಗಿದೆ. Option A: ಶ್ರೀಲಂಕಾ Option B: ಅಮೆರಿಕಾದ Option C: ಐಐಟಿಯ Option D: ಪಾಕಿಸ್ತಾನ Solution:
ಪಾಕಿಸ್ತಾನ
0
NIv2
task948_wiki_cloze_kn_multiple_choice_question_answering
fs_opt
[ { "content": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nYou are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .\n\nStatement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ. ಬಾಬ್ ಎಲ್ ಮಾನ್‌ಡೆಬ್ ಮತ್ತು ಆಡೆನ್ ಕೊಲ್ಲಿ ಮೂಲಕ ದಕ್ಷಿಣದಲ್ಲಿ ಸಂಪರ್ಕವನ್ನು ಪಡೆದಿದೆ. ಉತ್ತರದಲ್ಲಿ ಸಿನಾಯ್ ಪರ್ಯಾಯದ್ವೀಪ ಅಖಾಬಾ ಕೊಲ್ಲಿ ಮತ್ತು ಸುಯೋಜ್ ಕೊಲ್ಲಿ ಸುಯೋಜ್ ಕಾಲುವೆಗೆ ಸೇರುತ್ತದೆ). ಕೆಂಪು ಸಮುದ್ರವು ಜಾಗತಿಕವಾಗಿ 200 ಪರಿಸರ ಪ್ರದೇಶವಾಗಿದೆ.\n\n Option A: ಆಫ್ರಿಕಾವನ್ನು\n\n Option B: ಮರುಭೂಮಿ\n\n Option C: ಆಫ್ರಿಕಾ\n\n Option D: ಏಷ್ಯಾ\nSolution: ಆಫ್ರಿಕಾ\nWhy? As the Red sea is located near Africa the most appropriate word to replace the <MASK> token is ಆಫ್ರಿಕಾ .\n\nNew input: Statement: ಒಟ್ಟು ಈ ಸ್ಪರ್ಧೆಯಲ್ಲಿ ಪಾಲ್ಗೊಂಡ ಅಭ್ಯರ್ಥಿಗಳ ಸಂಖ್ಯೆ, ೩,೦೦೦. ಅವುಗಳಲ್ಲಿ ಅಂತಿಮಸುತ್ತಿನಲ್ಲಿ ೫ ಚಿಹ್ನೆಗಳನ್ನು ಆಯ್ಕೆಮಾಡಲಾಯಿತು. ಈ ಚಿಹ್ನೆಗಳ ವಿನ್ಯಾಸಕಾರರನ್ನು 'ಭಾರತೀಯ ರಿಸರ್ವ್ ಬ್ಯಾಂಕ್', ೨೦೦೯ರ ಡಿಸೆಂಬರಿನಲ್ಲಿ ಅಹ್ವಾನಿಸಲಾಗಿತ್ತು ತಮ್ಮ-ತಮ್ಮ ಚಿಹ್ನೆಗಳ ಬಗ್ಗೆ ವಿಸ್ತೃತ ಮಾಹಿತಿಗಳನ್ನು ಒದಗಿಸಲು, ಪ್ರಾತ್ಯಕ್ಷಿಕೆಗಳನ್ನು ತೋರಿಸುವಂತೆ ಕೋರಿತ್ತು. ಹೊಸ ಚಿಹ್ನೆ ರಚೇತ ಪ್ರೊ. ಉದಯಕುಮಾರ್ ರವರು ೨.೫ ಲಕ್ಷ ರೂಪಾಯಿಗಳ ಗೌರವಧನವನ್ನು ಪಡೆಯುತ್ತಾರೆ. ಆದರೆ ಅವರಿಗೆ ವೈಯಕ್ತಿಕ ಹಕ್ಕುಸ್ವಾಮ್ಯ ದೊರೆಯುವುದಿಲ್ಲ. ಮುದ್ರಣಕ್ಕೆ ಅನುಕೂಲವಾಗುವಂತೆ, ಗಣಕಯಂತ್ರದ ಕೀಲಿಮಣೆಗಳಲ್ಲಿ ಮತ್ತು ಇತರೆ ತಂತ್ರಾಂಶಗಳಲ್ಲಿ ಈ ಚಿಹ್ನೆ ಅತಿಶೀಘ್ರವಾಗಿ ಕಾಣಿಸಿಕೊಳ್ಳಲಿದೆ. ಹೊಸಚಿಹ್ನೆಯ ಬಳಕೆಯನ್ನು ಭಾರತದಲ್ಲಿ ಮುಂದಿನ ೬ ತಿಂಗಳಿನಲ್ಲಿ ವ್ಯವಹಾರದಲ್ಲಿ ಜಾರಿಗೆ ತರಲಾಗುವುದು. ಅಂತಾರಾಷ್ಟ್ರೀಯ ಮಟ್ಟದಲ್ಲಿ ಇದಕ್ಕೆ ೧೮-೨೪ ತಿಂಗಳು ಹಿಡಿಯುತ್ತದೆ. <MASK>, ನೇಪಾಳ, ಶ್ರೀಲಂಕಾ, ಇಂಡೊನೇಷ್ಯಾ, ರಾಷ್ಟ್ರಗಳ ರುಪೀ ಅಥವಾ ರುಪಯ್ಯಾ ದಿಂದ ಭಾರತೀಯ-ರೂಪಾಯಿ ಇನ್ನುಮುಂದೆ ಪ್ರತ್ಯೇಕವಾಗಿ ಗುರುತಿಸಿಕೊಳ್ಳಬಹುದಾಗಿದೆ.\n\n Option A: ಶ್ರೀಲಂಕಾ\n\n Option B: ಅಮೆರಿಕಾದ\n\n Option C: ಐಐಟಿಯ\n\n Option D: ಪಾಕಿಸ್ತಾನ\nSolution:", "role": "user" }, { "content": "ಪಾಕಿಸ್ತಾನ", "role": "assistant" } ]
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ. ಬಾಬ್ ಎಲ್ ಮಾನ್‌ಡೆಬ್ ಮತ್ತು ಆಡೆನ್ ಕೊಲ್ಲಿ ಮೂಲಕ ದಕ್ಷಿಣದಲ್ಲಿ ಸಂಪರ್ಕವನ್ನು ಪಡೆದಿದೆ. ಉತ್ತರದಲ್ಲಿ ಸಿನಾಯ್ ಪರ್ಯಾಯದ್ವೀಪ ಅಖಾಬಾ ಕೊಲ್ಲಿ ಮತ್ತು ಸುಯೋಜ್ ಕೊಲ್ಲಿ ಸುಯೋಜ್ ಕಾಲುವೆಗೆ ಸೇರುತ್ತದೆ). ಕೆಂಪು ಸಮುದ್ರವು ಜಾಗತಿಕವಾಗಿ 200 ಪರಿಸರ ಪ್ರದೇಶವಾಗಿದೆ. Option A: ಆಫ್ರಿಕಾವನ್ನು Option B: ಮರುಭೂಮಿ Option C: ಆಫ್ರಿಕಾ Option D: ಏಷ್ಯಾ Solution: ಆಫ್ರಿಕಾ Why? As the Red sea is located near Africa the most appropriate word to replace the <MASK> token is ಆಫ್ರಿಕಾ . New input: Statement: ಒಟ್ಟು ಈ ಸ್ಪರ್ಧೆಯಲ್ಲಿ ಪಾಲ್ಗೊಂಡ ಅಭ್ಯರ್ಥಿಗಳ ಸಂಖ್ಯೆ, ೩,೦೦೦. ಅವುಗಳಲ್ಲಿ ಅಂತಿಮಸುತ್ತಿನಲ್ಲಿ ೫ ಚಿಹ್ನೆಗಳನ್ನು ಆಯ್ಕೆಮಾಡಲಾಯಿತು. ಈ ಚಿಹ್ನೆಗಳ ವಿನ್ಯಾಸಕಾರರನ್ನು 'ಭಾರತೀಯ ರಿಸರ್ವ್ ಬ್ಯಾಂಕ್', ೨೦೦೯ರ ಡಿಸೆಂಬರಿನಲ್ಲಿ ಅಹ್ವಾನಿಸಲಾಗಿತ್ತು ತಮ್ಮ-ತಮ್ಮ ಚಿಹ್ನೆಗಳ ಬಗ್ಗೆ ವಿಸ್ತೃತ ಮಾಹಿತಿಗಳನ್ನು ಒದಗಿಸಲು, ಪ್ರಾತ್ಯಕ್ಷಿಕೆಗಳನ್ನು ತೋರಿಸುವಂತೆ ಕೋರಿತ್ತು. ಹೊಸ ಚಿಹ್ನೆ ರಚೇತ ಪ್ರೊ. ಉದಯಕುಮಾರ್ ರವರು ೨.೫ ಲಕ್ಷ ರೂಪಾಯಿಗಳ ಗೌರವಧನವನ್ನು ಪಡೆಯುತ್ತಾರೆ. ಆದರೆ ಅವರಿಗೆ ವೈಯಕ್ತಿಕ ಹಕ್ಕುಸ್ವಾಮ್ಯ ದೊರೆಯುವುದಿಲ್ಲ. ಮುದ್ರಣಕ್ಕೆ ಅನುಕೂಲವಾಗುವಂತೆ, ಗಣಕಯಂತ್ರದ ಕೀಲಿಮಣೆಗಳಲ್ಲಿ ಮತ್ತು ಇತರೆ ತಂತ್ರಾಂಶಗಳಲ್ಲಿ ಈ ಚಿಹ್ನೆ ಅತಿಶೀಘ್ರವಾಗಿ ಕಾಣಿಸಿಕೊಳ್ಳಲಿದೆ. ಹೊಸಚಿಹ್ನೆಯ ಬಳಕೆಯನ್ನು ಭಾರತದಲ್ಲಿ ಮುಂದಿನ ೬ ತಿಂಗಳಿನಲ್ಲಿ ವ್ಯವಹಾರದಲ್ಲಿ ಜಾರಿಗೆ ತರಲಾಗುವುದು. ಅಂತಾರಾಷ್ಟ್ರೀಯ ಮಟ್ಟದಲ್ಲಿ ಇದಕ್ಕೆ ೧೮-೨೪ ತಿಂಗಳು ಹಿಡಿಯುತ್ತದೆ. <MASK>, ನೇಪಾಳ, ಶ್ರೀಲಂಕಾ, ಇಂಡೊನೇಷ್ಯಾ, ರಾಷ್ಟ್ರಗಳ ರುಪೀ ಅಥವಾ ರುಪಯ್ಯಾ ದಿಂದ ಭಾರತೀಯ-ರೂಪಾಯಿ ಇನ್ನುಮುಂದೆ ಪ್ರತ್ಯೇಕವಾಗಿ ಗುರುತಿಸಿಕೊಳ್ಳಬಹುದಾಗಿದೆ. Option A: ಶ್ರೀಲಂಕಾ Option B: ಅಮೆರಿಕಾದ Option C: ಐಐಟಿಯ Option D: ಪಾಕಿಸ್ತಾನ Solution:
ಪಾಕಿಸ್ತಾನ
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Instructions: In this task, you need to Translate Czech text to English. Input: Pás (10) je uzpůsobený k uložení společně s nekovovým potrubím v zemi nad potrubím a sestává z pásu (11) z umělé hmoty s poměrně velkou pevností v přetržení, na jehož jedné straně je zejména přilepením upevněn užší kovový pás (12), zejména ocelový pás, pro určení místa při induktivní jakož i při galvanické vazbě, přičemž pro vytvoření dlouhých pásů (10) je uspořádáno více úseků pásů (11) za sebou a navzájem vodivě spojeno s konci kovových pásů (12). Navzájem vodivě spojené konce kovových pásů (12) jsou od příslušných pásů (11) z umělé hmoty uvolněny a složeny s přesahem a stlačeny společně s kovovým pouzdrem (13), nasazeným na oblast přesahu.ŕ Output:
The belt (10) is adapted to be placed together with the non-metallic pipe in the ground above the pipe and consists of a plastic strip (11) with a relatively high tear strength, on one side of which a narrower metal strip (12), in particular steel, is fastened. a strip for determining the position at both inductive and galvanic bonding, wherein a plurality of strip sections (11) are arranged one behind the other to form long strips (10) and connected to each other at the ends of the metal strips (12). The ends of the metal strips (12), which are connected to one another, are released from the respective plastic strips (11) and are folded over and pressed together with the metal sleeve (13) mounted on the overlap region.
3
NIv2
task842_para_pdt_cs_en_translation
zs_opt
[ { "content": "Instructions: In this task, you need to Translate Czech text to English.\nInput: Pás (10) je uzpůsobený k uložení společně s nekovovým potrubím v zemi nad potrubím a sestává z pásu (11) z umělé hmoty s poměrně velkou pevností v přetržení, na jehož jedné straně je zejména přilepením upevněn užší kovový pás (12), zejména ocelový pás, pro určení místa při induktivní jakož i při galvanické vazbě, přičemž pro vytvoření dlouhých pásů (10) je uspořádáno více úseků pásů (11) za sebou a navzájem vodivě spojeno s konci kovových pásů (12). Navzájem vodivě spojené konce kovových pásů (12) jsou od příslušných pásů (11) z umělé hmoty uvolněny a složeny s přesahem a stlačeny společně s kovovým pouzdrem (13), nasazeným na oblast přesahu.ŕ\nOutput:", "role": "user" }, { "content": "The belt (10) is adapted to be placed together with the non-metallic pipe in the ground above the pipe and consists of a plastic strip (11) with a relatively high tear strength, on one side of which a narrower metal strip (12), in particular steel, is fastened. a strip for determining the position at both inductive and galvanic bonding, wherein a plurality of strip sections (11) are arranged one behind the other to form long strips (10) and connected to each other at the ends of the metal strips (12). The ends of the metal strips (12), which are connected to one another, are released from the respective plastic strips (11) and are folded over and pressed together with the metal sleeve (13) mounted on the overlap region.", "role": "assistant" } ]
Instructions: In this task, you need to Translate Czech text to English. Input: Pás (10) je uzpůsobený k uložení společně s nekovovým potrubím v zemi nad potrubím a sestává z pásu (11) z umělé hmoty s poměrně velkou pevností v přetržení, na jehož jedné straně je zejména přilepením upevněn užší kovový pás (12), zejména ocelový pás, pro určení místa při induktivní jakož i při galvanické vazbě, přičemž pro vytvoření dlouhých pásů (10) je uspořádáno více úseků pásů (11) za sebou a navzájem vodivě spojeno s konci kovových pásů (12). Navzájem vodivě spojené konce kovových pásů (12) jsou od příslušných pásů (11) z umělé hmoty uvolněny a složeny s přesahem a stlačeny společně s kovovým pouzdrem (13), nasazeným na oblast přesahu.ŕ Output:
The belt (10) is adapted to be placed together with the non-metallic pipe in the ground above the pipe and consists of a plastic strip (11) with a relatively high tear strength, on one side of which a narrower metal strip (12), in particular steel, is fastened. a strip for determining the position at both inductive and galvanic bonding, wherein a plurality of strip sections (11) are arranged one behind the other to form long strips (10) and connected to each other at the ends of the metal strips (12). The ends of the metal strips (12), which are connected to one another, are released from the respective plastic strips (11) and are folded over and pressed together with the metal sleeve (13) mounted on the overlap region.
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English. Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles. Solution: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them. Why? The Portugese sentence is correctly translated into English, because the meaning is preserved. New input: Eles gostam de brincar. Estão na escola primária. Solution:
They like to play around. They're in second grade.
0
NIv2
task1274_ted_translation_pt_en
fs_opt
[ { "content": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nYou are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.\n\nOs astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles.\nSolution: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them.\nWhy? The Portugese sentence is correctly translated into English, because the meaning is preserved.\n\nNew input: Eles gostam de brincar. Estão na escola primária.\nSolution:", "role": "user" }, { "content": "They like to play around. They're in second grade.", "role": "assistant" } ]
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English. Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles. Solution: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them. Why? The Portugese sentence is correctly translated into English, because the meaning is preserved. New input: Eles gostam de brincar. Estão na escola primária. Solution:
They like to play around. They're in second grade.
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Yes / no, is the following a verifiable fact? "Amtrak operates a non-stop train from Alaska to Hawaii." no It's not possible to travel by train from Alaska to Hawaii. **Q** Yes / no, is the following a verifiable fact? "Everyone likes to eat Poultry of all kinds." **A** no Some people do not like or eat poultry. Does the following sentence make sense? "Burning Man focused on community, art, self-expression, and self-reliance held annually in the western United States." Options: - yes - no yes This is true because this is the principle upon which the event was created. **Q** Is the following a factual statement? "Pink balances her career with parental duties." Options: - yes - no **A** yes Pink has a child and is still recording. "Quakers promoted peace amongst the early colonies." Is the above claim true? Options: - yes - no yes Quakers belonged to a church that prioritized peaceful living. Is the following sentence factually correct? "Rock in Rio appeared three thousand years ago and has been changing shape through erosion." Options: - yes - no
no Rock in Rio are events in Rio de Janeiro, but not natural land feature.
0
CoT
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[ { "content": "Yes / no, is the following a verifiable fact?\n\"Amtrak operates a non-stop train from Alaska to Hawaii.\"\nno\nIt's not possible to travel by train from Alaska to Hawaii.\n**Q**\nYes / no, is the following a verifiable fact?\n\"Everyone likes to eat Poultry of all kinds.\"\n**A**\nno\nSome people do not like or eat poultry.\nDoes the following sentence make sense?\n\"Burning Man focused on community, art, self-expression, and self-reliance held annually in the western United States.\"\nOptions:\n- yes\n- no\nyes\nThis is true because this is the principle upon which the event was created.\n**Q**\nIs the following a factual statement?\n\"Pink balances her career with parental duties.\"\nOptions:\n- yes\n- no\n**A**\nyes\nPink has a child and is still recording.\n\"Quakers promoted peace amongst the early colonies.\"\nIs the above claim true?\nOptions:\n- yes\n- no\nyes\nQuakers belonged to a church that prioritized peaceful living.\nIs the following sentence factually correct?\n\"Rock in Rio appeared three thousand years ago and has been changing shape through erosion.\"\nOptions:\n- yes\n- no\n", "role": "user" }, { "content": "no\nRock in Rio are events in Rio de Janeiro, but not natural land feature.", "role": "assistant" } ]
Yes / no, is the following a verifiable fact? "Amtrak operates a non-stop train from Alaska to Hawaii." no It's not possible to travel by train from Alaska to Hawaii. **Q** Yes / no, is the following a verifiable fact? "Everyone likes to eat Poultry of all kinds." **A** no Some people do not like or eat poultry. Does the following sentence make sense? "Burning Man focused on community, art, self-expression, and self-reliance held annually in the western United States." Options: - yes - no yes This is true because this is the principle upon which the event was created. **Q** Is the following a factual statement? "Pink balances her career with parental duties." Options: - yes - no **A** yes Pink has a child and is still recording. "Quakers promoted peace amongst the early colonies." Is the above claim true? Options: - yes - no yes Quakers belonged to a church that prioritized peaceful living. Is the following sentence factually correct? "Rock in Rio appeared three thousand years ago and has been changing shape through erosion." Options: - yes - no
no Rock in Rio are events in Rio de Janeiro, but not natural land feature.
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Camels are approximately 5.5 to 6 feet tall. The largest dog ever was 3'8" tall. Dog houses are built to fit dogs. This justifies what answer for what question? Q & A:
Could a camel fit in a dog house? no
6
CoT
cot_strategyqa_ii
zs_opt
[ { "content": "Camels are approximately 5.5 to 6 feet tall. The largest dog ever was 3'8\" tall. Dog houses are built to fit dogs.\nThis justifies what answer for what question? Q & A: ", "role": "user" }, { "content": "Could a camel fit in a dog house?\nno", "role": "assistant" } ]
Camels are approximately 5.5 to 6 feet tall. The largest dog ever was 3'8" tall. Dog houses are built to fit dogs. This justifies what answer for what question? Q & A:
Could a camel fit in a dog house? no
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QUESTION: Given the sentence "Dancers in blue and gold costumes are marching down a street while wearing silver high heels." can we conclude that "The dancers are part of a parade."? Options: - yes - it is not possible to tell - no Let's solve it slowly: Dancers marching down the street doesn't mean they are part of a parade. The answer is it is not possible to tell. QUESTION: Given the sentence "A young woman hikes her way up a wooded area surrounded by vegetation." is it true that "The woman is looking for mushrooms."? Let's solve it slowly: Not all women that hikes in an area surrounded by vegetation is looking for mushrooms. The answer is it is not possible to tell. QUESTION: Premise: "A man with a cart loads plant material." Based on this premise, can we conclude that the hypothesis "A man is shopping in a mall." is true? Options: - yes - it is not possible to tell - no Let's solve it slowly:
The man loading plant material into a cart indicated he's at an outdoors type of store whilst the other man is in a shopping mall. The answer is no.
8
CoT
cot_esnli
fs_opt
[ { "content": "QUESTION: Given the sentence \"Dancers in blue and gold costumes are marching down a street while wearing silver high heels.\" can we conclude that \"The dancers are part of a parade.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nLet's solve it slowly: Dancers marching down the street doesn't mean they are part of a parade.\nThe answer is it is not possible to tell.\n\n\nQUESTION: Given the sentence \"A young woman hikes her way up a wooded area surrounded by vegetation.\" is it true that \"The woman is looking for mushrooms.\"?\n\nLet's solve it slowly: Not all women that hikes in an area surrounded by vegetation is looking for mushrooms.\nThe answer is it is not possible to tell.\n\n\nQUESTION: Premise: \"A man with a cart loads plant material.\"\nBased on this premise, can we conclude that the hypothesis \"A man is shopping in a mall.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nLet's solve it slowly:", "role": "user" }, { "content": "The man loading plant material into a cart indicated he's at an outdoors type of store whilst the other man is in a shopping mall.\nThe answer is no.", "role": "assistant" } ]
QUESTION: Given the sentence "Dancers in blue and gold costumes are marching down a street while wearing silver high heels." can we conclude that "The dancers are part of a parade."? Options: - yes - it is not possible to tell - no Let's solve it slowly: Dancers marching down the street doesn't mean they are part of a parade. The answer is it is not possible to tell. QUESTION: Given the sentence "A young woman hikes her way up a wooded area surrounded by vegetation." is it true that "The woman is looking for mushrooms."? Let's solve it slowly: Not all women that hikes in an area surrounded by vegetation is looking for mushrooms. The answer is it is not possible to tell. QUESTION: Premise: "A man with a cart loads plant material." Based on this premise, can we conclude that the hypothesis "A man is shopping in a mall." is true? Options: - yes - it is not possible to tell - no Let's solve it slowly:
The man loading plant material into a cart indicated he's at an outdoors type of store whilst the other man is in a shopping mall. The answer is no.
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This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words. Ex Input: `` you might want to check this boy out with the fbi . '' Ex Output: `` maybe you should check this guy at the fbl . '' Ex Input: ( 6 ) ii – legislative background a – community law 4 . Ex Output: ii - legal context a - community law 4 . Ex Input: ( 132 signatures ) ( 0985/2011 ) ; alberto peña guillén ( 0986/2011 ) ; ( name confidential ) ( 0987/2011 ) ; Ex Output:
( no 0986 / 2011 ) ; ( name confidential )
1
NIv2
task177_para-nmt_paraphrasing
fs_opt
[ { "content": "This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.\n\nEx Input:\n`` you might want to check this boy out with the fbi . ''\n\nEx Output:\n`` maybe you should check this guy at the fbl . ''\n\n\nEx Input:\n( 6 ) ii – legislative background a – community law 4 .\n\nEx Output:\nii - legal context a - community law 4 .\n\n\nEx Input:\n( 132 signatures ) ( 0985/2011 ) ; alberto peña guillén ( 0986/2011 ) ; ( name confidential ) ( 0987/2011 ) ;\n\nEx Output:\n", "role": "user" }, { "content": "( no 0986 / 2011 ) ; ( name confidential )\n\n\n", "role": "assistant" } ]
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words. Ex Input: `` you might want to check this boy out with the fbi . '' Ex Output: `` maybe you should check this guy at the fbl . '' Ex Input: ( 6 ) ii – legislative background a – community law 4 . Ex Output: ii - legal context a - community law 4 . Ex Input: ( 132 signatures ) ( 0985/2011 ) ; alberto peña guillén ( 0986/2011 ) ; ( name confidential ) ( 0987/2011 ) ; Ex Output:
( no 0986 / 2011 ) ; ( name confidential )
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Translate the following sentence to Finnish: Why am I saying all this? Finnish:
Miksi puhun kaikesta tästä?
5
Flan2021
wmt16_translate/fi-en:1.0.0
zs_opt
[ { "content": "Translate the following sentence to Finnish:\nWhy am I saying all this?\n\nFinnish:", "role": "user" }, { "content": "Miksi puhun kaikesta tästä?", "role": "assistant" } ]
Translate the following sentence to Finnish: Why am I saying all this? Finnish:
Miksi puhun kaikesta tästä?
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Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish. Con la dimostrazione dell'inalatore ad etere di Morton al Mass. General Hospital nel 1847, si inaugurò una nuova era della chirurgia. A:
Con la demostración del Inhalador de Ether Morton a las masas. General en 1847, una era completamente nueva había surgido.
7
NIv2
task1249_ted_translation_it_es
zs_opt
[ { "content": "Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.\nCon la dimostrazione dell'inalatore ad etere di Morton al Mass. General Hospital nel 1847, si inaugurò una nuova era della chirurgia.\nA:", "role": "user" }, { "content": "Con la demostración del Inhalador de Ether Morton a las masas. General en 1847, una era completamente nueva había surgido.", "role": "assistant" } ]
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish. Con la dimostrazione dell'inalatore ad etere di Morton al Mass. General Hospital nel 1847, si inaugurò una nuova era della chirurgia. A:
Con la demostración del Inhalador de Ether Morton a las masas. General en 1847, una era completamente nueva había surgido.
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Translate the following sentence to Russian: A particular combination of sounds, which we call music, is an expression of relation between things, in other words, their likeness and difference. Russian:
Особое сочетание звуков, называемое музыкой, есть выражение отношения между вещами, иначе говоря - их подобия и различия.
5
Flan2021
wmt16_translate/ru-en:1.0.0
zs_opt
[ { "content": "Translate the following sentence to Russian:\nA particular combination of sounds, which we call music, is an expression of relation between things, in other words, their likeness and difference.\n\nRussian:", "role": "user" }, { "content": "Особое сочетание звуков, называемое музыкой, есть выражение отношения между вещами, иначе говоря - их подобия и различия.", "role": "assistant" } ]
Translate the following sentence to Russian: A particular combination of sounds, which we call music, is an expression of relation between things, in other words, their likeness and difference. Russian:
Особое сочетание звуков, называемое музыкой, есть выражение отношения между вещами, иначе говоря - их подобия и различия.
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In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review. Q: My husband bought this for me. I have to say it is amazing!! The toy attachments all come individually wrapped. There is a very nice assortment of toys. None of them have a strange odor, which is very nice. They are body safe which is a must! It is not very loud, which I expected it to be. It is easy to use, and works very well. The adapter on the first one that controls turning it on and off and your speed did not work. We contacted customer service and they were GREAT and fast! They sent us a whole new machine and it works perfectly!! A:
positive
4
NIv2
task1312_amazonreview_polarity_classification
zs_opt
[ { "content": "In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.\nQ: My husband bought this for me. I have to say it is amazing!! The toy attachments all come individually wrapped. There is a very nice assortment of toys. None of them have a strange odor, which is very nice. They are body safe which is a must! It is not very loud, which I expected it to be. It is easy to use, and works very well. The adapter on the first one that controls turning it on and off and your speed did not work. We contacted customer service and they were GREAT and fast! They sent us a whole new machine and it works perfectly!!\nA: ", "role": "user" }, { "content": "positive", "role": "assistant" } ]
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review. Q: My husband bought this for me. I have to say it is amazing!! The toy attachments all come individually wrapped. There is a very nice assortment of toys. None of them have a strange odor, which is very nice. They are body safe which is a must! It is not very loud, which I expected it to be. It is easy to use, and works very well. The adapter on the first one that controls turning it on and off and your speed did not work. We contacted customer service and they were GREAT and fast! They sent us a whole new machine and it works perfectly!! A:
positive
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Can we conclude from "3 young boys carrying nets are walking in a park." that "Some kids are hoping to catch butterflies in their new nets."? Options: - yes - no - it is not possible to tell Stream of thoughts:
Simply carrying nets doesn't mean the kids are going to catch butterflies. Therefore, the answer is it is not possible to tell.
2
CoT
cot_esnli
zs_opt
[ { "content": "Can we conclude from \"3 young boys carrying nets are walking in a park.\" that \"Some kids are hoping to catch butterflies in their new nets.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell Stream of thoughts:", "role": "user" }, { "content": "Simply carrying nets doesn't mean the kids are going to catch butterflies.\nTherefore, the answer is it is not possible to tell.", "role": "assistant" } ]
Can we conclude from "3 young boys carrying nets are walking in a park." that "Some kids are hoping to catch butterflies in their new nets."? Options: - yes - no - it is not possible to tell Stream of thoughts:
Simply carrying nets doesn't mean the kids are going to catch butterflies. Therefore, the answer is it is not possible to tell.
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Q: This task is about translating a given English language sentence to French. For math teachers majoring in math there's a measurable effect. But, overwhelmingly, it's your past performance. A:
Pour un professeur de maths diplômé en maths, l'effet est mesurable, mais c'est de loin la performance passée qui joue le plus.
7
NIv2
task1689_qed_amara_translation
zs_opt
[ { "content": "Q: This task is about translating a given English language sentence to French.\nFor math teachers majoring in math there's a measurable effect. But, overwhelmingly, it's your past performance.\nA:", "role": "user" }, { "content": "Pour un professeur de maths diplômé en maths, l'effet est mesurable, mais c'est de loin la performance passée qui joue le plus.", "role": "assistant" } ]
Q: This task is about translating a given English language sentence to French. For math teachers majoring in math there's a measurable effect. But, overwhelmingly, it's your past performance. A:
Pour un professeur de maths diplômé en maths, l'effet est mesurable, mais c'est de loin la performance passée qui joue le plus.
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Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English. Q: اسمت چيه جان استورم . A:
whats your name john storm .
9
NIv2
task659_tep_fa_en_translation
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.\nQ: اسمت چيه جان استورم .\nA:", "role": "user" }, { "content": "whats your name john storm .", "role": "assistant" } ]
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English. Q: اسمت چيه جان استورم . A:
whats your name john storm .
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Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'. Title: The Mistaken Gift. Sentence 1: The gifts were opened and Tom noticed they were all Roll Tide themed. Sentence 2: Tom asked his sister what her husband might like for his birthday. Sentence 3: Tom found this a bit odd but nonetheless, bought him an Alabama cd. Sentence 4: Tom realized he bought the wrong gift all too late. Sentence 5: She told him that he just loved Alabama. A:
25314
7
NIv2
task217_rocstories_ordering_answer_generation
zs_opt
[ { "content": "Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.\nTitle: The Mistaken Gift. Sentence 1: The gifts were opened and Tom noticed they were all Roll Tide themed. Sentence 2: Tom asked his sister what her husband might like for his birthday. Sentence 3: Tom found this a bit odd but nonetheless, bought him an Alabama cd. Sentence 4: Tom realized he bought the wrong gift all too late. Sentence 5: She told him that he just loved Alabama.\nA:", "role": "user" }, { "content": "25314", "role": "assistant" } ]
Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'. Title: The Mistaken Gift. Sentence 1: The gifts were opened and Tom noticed they were all Roll Tide themed. Sentence 2: Tom asked his sister what her husband might like for his birthday. Sentence 3: Tom found this a bit odd but nonetheless, bought him an Alabama cd. Sentence 4: Tom realized he bought the wrong gift all too late. Sentence 5: She told him that he just loved Alabama. A:
25314
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In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3. Input: Consider Input: [-49, -55, 69, 84, -30, 46, -4] Output: [-49, -55, 46, -4] Input: Consider Input: [-79, -86, -2, -53, 19, -46, -87, -27, 79, 92, -58] Output: [-79, -86, -2, -53, 19, -46, 79, 92, -58] Input: Consider Input: [-73, -95, 44]
Output: [-73, -95, 44]
2
NIv2
task370_synthetic_remove_divisible_by_3
fs_opt
[ { "content": "In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.\n\nInput: Consider Input: [-49, -55, 69, 84, -30, 46, -4]\n\nOutput: [-49, -55, 46, -4]\n\n\nInput: Consider Input: [-79, -86, -2, -53, 19, -46, -87, -27, 79, 92, -58]\n\nOutput: [-79, -86, -2, -53, 19, -46, 79, 92, -58]\n\n\nInput: Consider Input: [-73, -95, 44]\n\n", "role": "user" }, { "content": "Output: [-73, -95, 44]\n\n\n", "role": "assistant" } ]
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3. Input: Consider Input: [-49, -55, 69, 84, -30, 46, -4] Output: [-49, -55, 46, -4] Input: Consider Input: [-79, -86, -2, -53, 19, -46, -87, -27, 79, 92, -58] Output: [-79, -86, -2, -53, 19, -46, 79, 92, -58] Input: Consider Input: [-73, -95, 44]
Output: [-73, -95, 44]
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Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racial, religious biased or offensive language. Warning: the examples and instances may contain offensive language. Q: These hoes aint yours A:
No
9
NIv2
task609_sbic_potentially_offense_binary_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racial, religious biased or offensive language. Warning: the examples and instances may contain offensive language.\nQ: These hoes aint yours\nA:", "role": "user" }, { "content": "No", "role": "assistant" } ]
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racial, religious biased or offensive language. Warning: the examples and instances may contain offensive language. Q: These hoes aint yours A:
No
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This movie was filmed at Hunter High School in West Valley City, Utah. Their school was the Hunter Vikings, but the real Hunter High are the Wolverines. The real Hunter High basketball team was the opposing team in the basketball game and were called the Wolverines. The movie was filmed in late 1995 and early 1996, which is why snow is present in some shots and Danielle Harris has visible breath when opening the door. Moonpools & Caterpillars was the rock band featured in the movie at the Winter Festival Dance. The movie shares similar elements with many other films also featuring the FreakyFridayFlip television trope. Who is the band in wish upon a star? Let's have some stream of consciousness first.
To answer this question, we should know that: Moonpools & Caterpillars was the rock band featured in the movie at the Winter Festival Dance. So, the answer is Moonpools & Caterpillars.
14
CoT
stream_qed
zs_opt
[ { "content": "This movie was filmed at Hunter High School in West Valley City, Utah. Their school was the Hunter Vikings, but the real Hunter High are the Wolverines. The real Hunter High basketball team was the opposing team in the basketball game and were called the Wolverines. The movie was filmed in late 1995 and early 1996, which is why snow is present in some shots and Danielle Harris has visible breath when opening the door. Moonpools & Caterpillars was the rock band featured in the movie at the Winter Festival Dance. The movie shares similar elements with many other films also featuring the FreakyFridayFlip television trope.\n\nWho is the band in wish upon a star? Let's have some stream of consciousness first.", "role": "user" }, { "content": "To answer this question, we should know that: Moonpools & Caterpillars was the rock band featured in the movie at the Winter Festival Dance. So, the answer is Moonpools & Caterpillars.", "role": "assistant" } ]
This movie was filmed at Hunter High School in West Valley City, Utah. Their school was the Hunter Vikings, but the real Hunter High are the Wolverines. The real Hunter High basketball team was the opposing team in the basketball game and were called the Wolverines. The movie was filmed in late 1995 and early 1996, which is why snow is present in some shots and Danielle Harris has visible breath when opening the door. Moonpools & Caterpillars was the rock band featured in the movie at the Winter Festival Dance. The movie shares similar elements with many other films also featuring the FreakyFridayFlip television trope. Who is the band in wish upon a star? Let's have some stream of consciousness first.
To answer this question, we should know that: Moonpools & Caterpillars was the rock band featured in the movie at the Winter Festival Dance. So, the answer is Moonpools & Caterpillars.
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Detailed Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship. See one example below: Problem: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it' Solution: The mailbox was bent and broken and looked like someone had knocked it over on purpose. Explanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked Problem: Relationship: 'die in', Argument/Subject 1: 'catherine', Argument/Subject 2: 'combermere' Solution:
Catherine died in Combermere , Ontario , December 14th , 1985 .
4
NIv2
task677_ollie_sentence_answer_generation
fs_opt
[ { "content": "Detailed Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.\nSee one example below:\nProblem: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'\nSolution: The mailbox was bent and broken and looked like someone had knocked it over on purpose.\nExplanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked\n\nProblem: Relationship: 'die in', Argument/Subject 1: 'catherine', Argument/Subject 2: 'combermere'\nSolution:", "role": "user" }, { "content": "Catherine died in Combermere , Ontario , December 14th , 1985 .", "role": "assistant" } ]
Detailed Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship. See one example below: Problem: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it' Solution: The mailbox was bent and broken and looked like someone had knocked it over on purpose. Explanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked Problem: Relationship: 'die in', Argument/Subject 1: 'catherine', Argument/Subject 2: 'combermere' Solution:
Catherine died in Combermere , Ontario , December 14th , 1985 .
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Given a sentence, generate a new 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. One example is below. Q: Stimulating the mind helps the brain to grow essential neural cells . A: Stimulating the learning helps the brain to grow new neural cells . Rationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growing essential neural cells and the changes in the sentence follows the commonsense knowledge. Q: You are likely to find a dance club in the downtown district. A:
You are motivated to plan a dance club in the downtown district .
9
NIv2
task413_mickey_en_sentence_perturbation_generation
fs_opt
[ { "content": "Given a sentence, generate a new 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.\nOne example is below.\nQ: Stimulating the mind helps the brain to grow essential neural cells .\nA: Stimulating the learning helps the brain to grow new neural cells .\nRationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growing essential neural cells and the changes in the sentence follows the commonsense knowledge.\nQ: You are likely to find a dance club in the downtown district.\nA:", "role": "user" }, { "content": "You are motivated to plan a dance club in the downtown district .", "role": "assistant" } ]
Given a sentence, generate a new 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. One example is below. Q: Stimulating the mind helps the brain to grow essential neural cells . A: Stimulating the learning helps the brain to grow new neural cells . Rationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growing essential neural cells and the changes in the sentence follows the commonsense knowledge. Q: You are likely to find a dance club in the downtown district. A:
You are motivated to plan a dance club in the downtown district .
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R & A: The woman in the fur coat and the older man are the two people who are talking. yes Q: Given the sentence "A woman in a fur coat talking to an older man." is it true that "Two people are talking."? R & A: It cannot be said for sure that the people make up a band. it is not possible to tell Q: Premise: "A female singer on stage with a tambourine with two men playing guitar and drums." Based on this premise, can we conclude that the hypothesis "The people are a band." is true? Options: - yes - it is not possible to tell - no R & A: A man cannot cough while operating machinery and sleep at the same time. no Q: Given the sentence "A man is coughing while operating machinery." can we conclude that "A man sleeping."? Options: - yes - it is not possible to tell - no R & A: Man doing a jump on a rocky passage means he is up on the rocks. yes Q:
Premise: "A man is doing a jump on a rocky passage that overlooks a barren group of trees." Hypothesis: "The man is up on the rocks." Do we know that the hypothesis entailed by the premise?
2
CoT
cot_esnli_ii
fs_opt
[ { "content": "R & A: The woman in the fur coat and the older man are the two people who are talking.\nyes\nQ: Given the sentence \"A woman in a fur coat talking to an older man.\" is it true that \"Two people are talking.\"?\n\nR & A: It cannot be said for sure that the people make up a band.\nit is not possible to tell\nQ: Premise: \"A female singer on stage with a tambourine with two men playing guitar and drums.\"\nBased on this premise, can we conclude that the hypothesis \"The people are a band.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nR & A: A man cannot cough while operating machinery and sleep at the same time.\nno\nQ: Given the sentence \"A man is coughing while operating machinery.\" can we conclude that \"A man sleeping.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nR & A: Man doing a jump on a rocky passage means he is up on the rocks.\nyes\nQ:", "role": "user" }, { "content": "Premise: \"A man is doing a jump on a rocky passage that overlooks a barren group of trees.\"\nHypothesis: \"The man is up on the rocks.\"\nDo we know that the hypothesis entailed by the premise?", "role": "assistant" } ]
R & A: The woman in the fur coat and the older man are the two people who are talking. yes Q: Given the sentence "A woman in a fur coat talking to an older man." is it true that "Two people are talking."? R & A: It cannot be said for sure that the people make up a band. it is not possible to tell Q: Premise: "A female singer on stage with a tambourine with two men playing guitar and drums." Based on this premise, can we conclude that the hypothesis "The people are a band." is true? Options: - yes - it is not possible to tell - no R & A: A man cannot cough while operating machinery and sleep at the same time. no Q: Given the sentence "A man is coughing while operating machinery." can we conclude that "A man sleeping."? Options: - yes - it is not possible to tell - no R & A: Man doing a jump on a rocky passage means he is up on the rocks. yes Q:
Premise: "A man is doing a jump on a rocky passage that overlooks a barren group of trees." Hypothesis: "The man is up on the rocks." Do we know that the hypothesis entailed by the premise?
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Translate the following sentence to French: Health Canada has also recommended that manufacturers highlight on their labels that no lead was added to their products to help inform consumers.
Santé Canada recommande aux fabricants dont les bijoux sont sans plomb de le mettre bien en vue sur l'étiquette.
5
Flan2021
wmt14_translate/fr-en:1.0.0
zs_opt
[ { "content": "Translate the following sentence to French:\nHealth Canada has also recommended that manufacturers highlight on their labels that no lead was added to their products to help inform consumers.\n\n", "role": "user" }, { "content": "Santé Canada recommande aux fabricants dont les bijoux sont sans plomb de le mettre bien en vue sur l'étiquette.", "role": "assistant" } ]
Translate the following sentence to French: Health Canada has also recommended that manufacturers highlight on their labels that no lead was added to their products to help inform consumers.
Santé Canada recommande aux fabricants dont les bijoux sont sans plomb de le mettre bien en vue sur l'étiquette.
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QUESTION: Can we conclude from "A young man walking with a drum on his head." that "A young man flying with a drum."? Options: - yes - no - it is not possible to tell Let's solve it slowly: The young man can't both be flying and walking at the same time. The answer is no. QUESTION: Premise: "A baby looks through his crib." Based on this premise, can we conclude that the hypothesis "The baby is sleeping." is true? Options: - yes - it is not possible to tell - no Let's solve it slowly: A baby who is sleeping cannot also be looking through his crib. The answer is no. QUESTION: If "Blond woman in blue outfit lounging on floor pillow at outside table alone." does that mean that "A blonde woman is a red outfit is doing jumping jacks."? Options: - yes - it is not possible to tell - no Let's solve it slowly:
Blue outfit is not a red outfit. Lounging on floor pillow is different to doing jumping jacks. The answer is no.
8
CoT
cot_esnli
fs_opt
[ { "content": "QUESTION: Can we conclude from \"A young man walking with a drum on his head.\" that \"A young man flying with a drum.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\n\nLet's solve it slowly: The young man can't both be flying and walking at the same time.\nThe answer is no.\n\n\nQUESTION: Premise: \"A baby looks through his crib.\"\nBased on this premise, can we conclude that the hypothesis \"The baby is sleeping.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nLet's solve it slowly: A baby who is sleeping cannot also be looking through his crib.\nThe answer is no.\n\n\nQUESTION: If \"Blond woman in blue outfit lounging on floor pillow at outside table alone.\" does that mean that \"A blonde woman is a red outfit is doing jumping jacks.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nLet's solve it slowly:", "role": "user" }, { "content": "Blue outfit is not a red outfit. Lounging on floor pillow is different to doing jumping jacks.\nThe answer is no.", "role": "assistant" } ]
QUESTION: Can we conclude from "A young man walking with a drum on his head." that "A young man flying with a drum."? Options: - yes - no - it is not possible to tell Let's solve it slowly: The young man can't both be flying and walking at the same time. The answer is no. QUESTION: Premise: "A baby looks through his crib." Based on this premise, can we conclude that the hypothesis "The baby is sleeping." is true? Options: - yes - it is not possible to tell - no Let's solve it slowly: A baby who is sleeping cannot also be looking through his crib. The answer is no. QUESTION: If "Blond woman in blue outfit lounging on floor pillow at outside table alone." does that mean that "A blonde woman is a red outfit is doing jumping jacks."? Options: - yes - it is not possible to tell - no Let's solve it slowly:
Blue outfit is not a red outfit. Lounging on floor pillow is different to doing jumping jacks. The answer is no.
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In this task, you are given a second sentence. Your task is to generate the first sentence on the same topic but incoherent and inconsistent with the second sentence. Example: Additionally , they donated US $200,000 to the All Souls Hospital in Morristown , New Jersey , US $100,000 of which were donated specifically by his wife . Example solution: They also supported an all girls ' school in Saint - Briac - sur - Mer , Brittany , France . Example explanation: Given a coherent sentence, an incoherent previous sentence to the given sentence is generated with the same topic of the given sentence Problem: Moreover , Toungoo 's remote hard - to - reach location proved an asset .
Solution: Fortunately for Toungoo , the Confederation was distracted by the leadership change after its principal leader Sawlon of Mohnyin was assassinated in 1533 .
5
NIv2
task550_discofuse_sentence_generation
fs_opt
[ { "content": "In this task, you are given a second sentence. Your task is to generate the first sentence on the same topic but incoherent and inconsistent with the second sentence.\nExample: Additionally , they donated US $200,000 to the All Souls Hospital in Morristown , New Jersey , US $100,000 of which were donated specifically by his wife .\nExample solution: They also supported an all girls ' school in Saint - Briac - sur - Mer , Brittany , France .\nExample explanation: Given a coherent sentence, an incoherent previous sentence to the given sentence is generated with the same topic of the given sentence\n\nProblem: Moreover , Toungoo 's remote hard - to - reach location proved an asset .\n", "role": "user" }, { "content": "Solution: Fortunately for Toungoo , the Confederation was distracted by the leadership change after its principal leader Sawlon of Mohnyin was assassinated in 1533 .", "role": "assistant" } ]
In this task, you are given a second sentence. Your task is to generate the first sentence on the same topic but incoherent and inconsistent with the second sentence. Example: Additionally , they donated US $200,000 to the All Souls Hospital in Morristown , New Jersey , US $100,000 of which were donated specifically by his wife . Example solution: They also supported an all girls ' school in Saint - Briac - sur - Mer , Brittany , France . Example explanation: Given a coherent sentence, an incoherent previous sentence to the given sentence is generated with the same topic of the given sentence Problem: Moreover , Toungoo 's remote hard - to - reach location proved an asset .
Solution: Fortunately for Toungoo , the Confederation was distracted by the leadership change after its principal leader Sawlon of Mohnyin was assassinated in 1533 .
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You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician. One example: Gracias. Solution is here: Grazas. Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved. Now, solve this: Las enfermeras inmediatamente supieron que se trataba de una infección, que en su momento hubieran llamado "" septicemia "". Y aunque quizás no lo dijeron, en seguida supieron que nada podían hacer. Solution:
Alí as enfermeiras souberon decontado que tiña unha infección, o que daquela chamarían "" intoxicación do sangue "" e aínda que probablemente non o dixeron, daríanse conta ó instante de que non podían facer nada por el.
6
NIv2
task1100_ted_translation_es_gl
fs_opt
[ { "content": "You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.\nOne example: Gracias.\nSolution is here: Grazas.\nExplanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.\n\nNow, solve this: Las enfermeras inmediatamente supieron que se trataba de una infección, que en su momento hubieran llamado \"\" septicemia \"\". Y aunque quizás no lo dijeron, en seguida supieron que nada podían hacer.\nSolution:", "role": "user" }, { "content": "Alí as enfermeiras souberon decontado que tiña unha infección, o que daquela chamarían \"\" intoxicación do sangue \"\" e aínda que probablemente non o dixeron, daríanse conta ó instante de que non podían facer nada por el.", "role": "assistant" } ]
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician. One example: Gracias. Solution is here: Grazas. Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved. Now, solve this: Las enfermeras inmediatamente supieron que se trataba de una infección, que en su momento hubieran llamado "" septicemia "". Y aunque quizás no lo dijeron, en seguida supieron que nada podían hacer. Solution:
Alí as enfermeiras souberon decontado que tiña unha infección, o que daquela chamarían "" intoxicación do sangue "" e aínda que probablemente non o dixeron, daríanse conta ó instante de que non podían facer nada por el.
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Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'. One example is below. Q: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a deal YOU: sorry, i won`t make a deal without a hat THEM: if you take 1 hat i have to have everything else YOU: sorry can`t do THEM: no deal YOU: yesh no deal, sorry THEM: no deal YOU: no deal. A: No Rationale: Both participants do not agree to the deal, so the answer is No. Q: THEM: ill take the ball and the books YOU: i can let you have the ball, but only if i get everything else. THEM: no you get 5 i get 1 no deal YOU: we can split 3 and 3 - - you take the hats, i get the books and ball. THEM: no deal you take the hats ill take the ball and books YOU: back to where we started. you can have a book and a hat, i'll take the rest. THEM: no so i get 2 you get 4 no deal YOU: the number of items hardly matters, only their values. THEM: i dont care i want the ball and book so if youre not giving me that no deal YOU: best i can do is give you the ball and one hat. THEM: best i can give you is nothing. A:
No
9
NIv2
task1384_deal_or_no_dialog_classification
fs_opt
[ { "content": "Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.\nOne example is below.\nQ: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a deal YOU: sorry, i won`t make a deal without a hat THEM: if you take 1 hat i have to have everything else YOU: sorry can`t do THEM: no deal YOU: yesh no deal, sorry THEM: no deal YOU: no deal.\nA: No\nRationale: Both participants do not agree to the deal, so the answer is No.\nQ: THEM: ill take the ball and the books YOU: i can let you have the ball, but only if i get everything else. THEM: no you get 5 i get 1 no deal YOU: we can split 3 and 3 - - you take the hats, i get the books and ball. THEM: no deal you take the hats ill take the ball and books YOU: back to where we started. you can have a book and a hat, i'll take the rest. THEM: no so i get 2 you get 4 no deal YOU: the number of items hardly matters, only their values. THEM: i dont care i want the ball and book so if youre not giving me that no deal YOU: best i can do is give you the ball and one hat. THEM: best i can give you is nothing.\nA:", "role": "user" }, { "content": "No", "role": "assistant" } ]
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'. One example is below. Q: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a deal YOU: sorry, i won`t make a deal without a hat THEM: if you take 1 hat i have to have everything else YOU: sorry can`t do THEM: no deal YOU: yesh no deal, sorry THEM: no deal YOU: no deal. A: No Rationale: Both participants do not agree to the deal, so the answer is No. Q: THEM: ill take the ball and the books YOU: i can let you have the ball, but only if i get everything else. THEM: no you get 5 i get 1 no deal YOU: we can split 3 and 3 - - you take the hats, i get the books and ball. THEM: no deal you take the hats ill take the ball and books YOU: back to where we started. you can have a book and a hat, i'll take the rest. THEM: no so i get 2 you get 4 no deal YOU: the number of items hardly matters, only their values. THEM: i dont care i want the ball and book so if youre not giving me that no deal YOU: best i can do is give you the ball and one hat. THEM: best i can give you is nothing. A:
No
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment. Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction. Solution: Singular Why? "the bounty hunter" is the subject of the sentence which is singular. New input: His daddy had even made him a kid-sized lariat that could be strapped to the gun belt. Solution:
Singular
0
NIv2
task430_senteval_subject_count
fs_opt
[ { "content": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nIn this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as \"Singular\" or \"Plural\" based on your judgment.\n\nComing from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction.\nSolution: Singular\nWhy? \"the bounty hunter\" is the subject of the sentence which is singular.\n\nNew input: His daddy had even made him a kid-sized lariat that could be strapped to the gun belt.\nSolution:", "role": "user" }, { "content": "Singular", "role": "assistant" } ]
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment. Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction. Solution: Singular Why? "the bounty hunter" is the subject of the sentence which is singular. New input: His daddy had even made him a kid-sized lariat that could be strapped to the gun belt. Solution:
Singular
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R & A: One cant be atop a ladder and on a couch simultaneously. no Q: Given the sentence "A man in a gray t-shirt atop a ladder reaching out to another man inside the buildings window." is it true that "A man in a gray shirt is watching television on the couch."? R & A: If the girls are waiting for their food they would not be near the brownies. no Q: Premise: "Four girls in a kitchen near a plate of brownies." Based on this premise, can we conclude that the hypothesis "Four girls in a kitchen waiting for their daily food ration." is true? Options: - yes - it is not possible to tell - no R & A: Not all open notebooks are used for studying for a big exam. it is not possible to tell Q: Premise: "A woman and a man with glasses study an open notebook." Hypothesis: "The people are studying for a big exam." Do we know that the hypothesis entailed by the premise? R & A: Plays with a croquet mallet does not necessarily mean preparing to play. it is not possible to tell Q:
Premise: "A seated child plays with a croquet mallet." Hypothesis: "A child is preparing to play a sport." Do we know that the hypothesis entailed by the premise?
2
CoT
cot_esnli_ii
fs_opt
[ { "content": "R & A: One cant be atop a ladder and on a couch simultaneously.\nno\nQ: Given the sentence \"A man in a gray t-shirt atop a ladder reaching out to another man inside the buildings window.\" is it true that \"A man in a gray shirt is watching television on the couch.\"?\n\nR & A: If the girls are waiting for their food they would not be near the brownies.\nno\nQ: Premise: \"Four girls in a kitchen near a plate of brownies.\"\nBased on this premise, can we conclude that the hypothesis \"Four girls in a kitchen waiting for their daily food ration.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nR & A: Not all open notebooks are used for studying for a big exam.\nit is not possible to tell\nQ: Premise: \"A woman and a man with glasses study an open notebook.\"\nHypothesis: \"The people are studying for a big exam.\"\nDo we know that the hypothesis entailed by the premise?\n\nR & A: Plays with a croquet mallet does not necessarily mean preparing to play.\nit is not possible to tell\nQ:", "role": "user" }, { "content": "Premise: \"A seated child plays with a croquet mallet.\"\nHypothesis: \"A child is preparing to play a sport.\"\nDo we know that the hypothesis entailed by the premise?", "role": "assistant" } ]
R & A: One cant be atop a ladder and on a couch simultaneously. no Q: Given the sentence "A man in a gray t-shirt atop a ladder reaching out to another man inside the buildings window." is it true that "A man in a gray shirt is watching television on the couch."? R & A: If the girls are waiting for their food they would not be near the brownies. no Q: Premise: "Four girls in a kitchen near a plate of brownies." Based on this premise, can we conclude that the hypothesis "Four girls in a kitchen waiting for their daily food ration." is true? Options: - yes - it is not possible to tell - no R & A: Not all open notebooks are used for studying for a big exam. it is not possible to tell Q: Premise: "A woman and a man with glasses study an open notebook." Hypothesis: "The people are studying for a big exam." Do we know that the hypothesis entailed by the premise? R & A: Plays with a croquet mallet does not necessarily mean preparing to play. it is not possible to tell Q:
Premise: "A seated child plays with a croquet mallet." Hypothesis: "A child is preparing to play a sport." Do we know that the hypothesis entailed by the premise?
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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. A bathtub sitting under a chandelier and next to a pair of windows and a mirror in a bathroom.
English
0
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
zs_opt
[ { "content": "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.\n\nA bathtub sitting under a chandelier and next to a pair of windows and a mirror in a bathroom.", "role": "user" }, { "content": "English", "role": "assistant" } ]
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. A bathtub sitting under a chandelier and next to a pair of windows and a mirror in a bathroom.
English
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Mussels have what? Options: - (A) seaweed - (B) arms - (C) Energy - (D) a shell - (E) warmth - (F) bacteria - (G) Length - (H) legs Hmmm, let me think. I don't want to be wrong, so I got to be careful.
Most mollusks have shells. Mussels are bivalve mollusks. Mussels have shells. The answer: (D).
7
CoT
cot_qasc
zs_opt
[ { "content": "Mussels have what?\nOptions:\n- (A) seaweed\n- (B) arms\n- (C) Energy\n- (D) a shell\n- (E) warmth\n- (F) bacteria\n- (G) Length\n- (H) legs\nHmmm, let me think. I don't want to be wrong, so I got to be careful.", "role": "user" }, { "content": "Most mollusks have shells. Mussels are bivalve mollusks. Mussels have shells. The answer: (D).", "role": "assistant" } ]
Mussels have what? Options: - (A) seaweed - (B) arms - (C) Energy - (D) a shell - (E) warmth - (F) bacteria - (G) Length - (H) legs Hmmm, let me think. I don't want to be wrong, so I got to be careful.
Most mollusks have shells. Mussels are bivalve mollusks. Mussels have shells. The answer: (D).
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My question: Does the following sentence make sense? "Biblical Mount Sinai stands next to Mount Everest." Options: - yes - no Please think gradually:
Biblical Mount Sinai is in the Middle East, while Mount Everest is in Tibet. Thus, the answer is no.
1
CoT
cot_creak
zs_opt
[ { "content": "My question: Does the following sentence make sense?\n\"Biblical Mount Sinai stands next to Mount Everest.\"\nOptions:\n- yes\n- no\nPlease think gradually:", "role": "user" }, { "content": "Biblical Mount Sinai is in the Middle East, while Mount Everest is in Tibet.\nThus, the answer is no.", "role": "assistant" } ]
My question: Does the following sentence make sense? "Biblical Mount Sinai stands next to Mount Everest." Options: - yes - no Please think gradually:
Biblical Mount Sinai is in the Middle East, while Mount Everest is in Tibet. Thus, the answer is no.
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You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language. According to the theory of H.J. Eysenck, with equal motivating conditions, introverts (vs. extroverts) show Output:
Según la teoría de H.J. Eysenck, a igualdad de condiciones motivadoras, los introvertidos (vs. los extrovertidos) muestran
1
NIv2
task1432_head_qa_language_translation_en_to_es
zs_opt
[ { "content": "You will be given a definition of a task first, then some input of the task.\nIn this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.\n\nAccording to the theory of H.J. Eysenck, with equal motivating conditions, introverts (vs. extroverts) show\nOutput:", "role": "user" }, { "content": "Según la teoría de H.J. Eysenck, a igualdad de condiciones motivadoras, los introvertidos (vs. los extrovertidos) muestran", "role": "assistant" } ]
You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language. According to the theory of H.J. Eysenck, with equal motivating conditions, introverts (vs. extroverts) show Output:
Según la teoría de H.J. Eysenck, a igualdad de condiciones motivadoras, los introvertidos (vs. los extrovertidos) muestran
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Problem:Command: eq { diff { hop { filter_eq { all_rows ; name ; kevin barnett } ; weight } ; hop { filter_eq { all_rows ; name ; gabriel gardner } ; weight } } ; -9 }, interpretation: select the rows whose w / l record fuzzily matches to win . the number of such rows is 9 . Solution:
no
8
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nProblem:Command: eq { diff { hop { filter_eq { all_rows ; name ; kevin barnett } ; weight } ; hop { filter_eq { all_rows ; name ; gabriel gardner } ; weight } } ; -9 }, interpretation: select the rows whose w / l record fuzzily matches to win . the number of such rows is 9 .\nSolution:", "role": "user" }, { "content": "no", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Problem:Command: eq { diff { hop { filter_eq { all_rows ; name ; kevin barnett } ; weight } ; hop { filter_eq { all_rows ; name ; gabriel gardner } ; weight } } ; -9 }, interpretation: select the rows whose w / l record fuzzily matches to win . the number of such rows is 9 . Solution:
no
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Premise: "A person riding a dirt bike is surrounded by green grass and trees." Hypothesis: "A man is riding a dirt bike outside." Do we know that the hypothesis entailed by the premise? Let's be accurate as possible and think first.
The person riding the dirt bike could be a man or a woman. Final answer: it is not possible to tell.
6
CoT
cot_esnli
zs_opt
[ { "content": "Premise: \"A person riding a dirt bike is surrounded by green grass and trees.\"\nHypothesis: \"A man is riding a dirt bike outside.\"\nDo we know that the hypothesis entailed by the premise? Let's be accurate as possible and think first.", "role": "user" }, { "content": "The person riding the dirt bike could be a man or a woman. Final answer: it is not possible to tell.", "role": "assistant" } ]
Premise: "A person riding a dirt bike is surrounded by green grass and trees." Hypothesis: "A man is riding a dirt bike outside." Do we know that the hypothesis entailed by the premise? Let's be accurate as possible and think first.
The person riding the dirt bike could be a man or a woman. Final answer: it is not possible to tell.
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: most_eq { all_rows ; tyres ; g }, interpretation: for the tyres records of all rows , most of them fuzzily match to g . A:
yes
9
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nQ: Command: most_eq { all_rows ; tyres ; g }, interpretation: for the tyres records of all rows , most of them fuzzily match to g .\nA:", "role": "user" }, { "content": "yes", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: most_eq { all_rows ; tyres ; g }, interpretation: for the tyres records of all rows , most of them fuzzily match to g . A:
yes
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Problem:Command: and { only { filter_eq { all_rows ; branch ; us marine corps } } ; eq { hop { filter_eq { all_rows ; branch ; us marine corps } ; name } ; general james l jones } }, interpretation: the average of the bronze record of all rows is 1.67 . Solution:
no
8
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nProblem:Command: and { only { filter_eq { all_rows ; branch ; us marine corps } } ; eq { hop { filter_eq { all_rows ; branch ; us marine corps } ; name } ; general james l jones } }, interpretation: the average of the bronze record of all rows is 1.67 .\nSolution:", "role": "user" }, { "content": "no", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Problem:Command: and { only { filter_eq { all_rows ; branch ; us marine corps } } ; eq { hop { filter_eq { all_rows ; branch ; us marine corps } ; name } ; general james l jones } }, interpretation: the average of the bronze record of all rows is 1.67 . Solution:
no
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Explanation for the following question's answer: Flowers and insects can have a symbiotic relationship. Question: Pick which sentence is not logical. Options: - Sentence A: "Flowers and insects are very different." - Sentence B: "Flowers and insects have no relationship." Answer: Sentence B Chain-of-thought: She cannot put the phone in the charger. -- Question: Choose the sentence that goes against common sense. Options: - Sentence A: "she put the charger in the phone" - Sentence B: "she put the phone in the charger" Answer: Sentence B Chain-of-thought: So far only governments have taken people to space. Question: Pick which sentence is not logical. Options: - Sentence A: "He took his mother to the hospital" - Sentence B: "He took his mother to outer space" Answer: Sentence B Explanation for the following question's answer: A Banana is a food while a phone is an electronic device. Question: Which of the following sentences is nonsensical? Options: - Sentence A: "He used a banana to call his sister." - Sentence B: "He used a phone to call his sister." Answer: Sentence A Chain-of-thought: Medals are made of metals or PVC and can never be made from rice. -- Question: Pick which sentence is not logical. Options: - Sentence A: "He won the rice medal in a race" - Sentence B: "He won the gold medal in a race" Answer: Sentence A Chain-of-thought: An antelope is an animal, not a boat.
Question: One of the following sentences is nonsensical. Which one is it? Options: - Sentence A: "A sailboat is docked at the pier." - Sentence B: "An antelope is docked at the pier." Answer: Sentence B
1
CoT
cot_sensemaking_ii
fs_opt
[ { "content": "Explanation for the following question's answer: Flowers and insects can have a symbiotic relationship.\nQuestion: Pick which sentence is not logical.\nOptions:\n- Sentence A: \"Flowers and insects are very different.\"\n- Sentence B: \"Flowers and insects have no relationship.\"\n\nAnswer: Sentence B\n\nChain-of-thought: She cannot put the phone in the charger.\n--\nQuestion: Choose the sentence that goes against common sense.\nOptions:\n- Sentence A: \"she put the charger in the phone\"\n- Sentence B: \"she put the phone in the charger\"\n\nAnswer: Sentence B\n\nChain-of-thought: So far only governments have taken people to space.\n\nQuestion: Pick which sentence is not logical.\nOptions:\n- Sentence A: \"He took his mother to the hospital\"\n- Sentence B: \"He took his mother to outer space\"\n\nAnswer: Sentence B\n\nExplanation for the following question's answer: A Banana is a food while a phone is an electronic device.\nQuestion: Which of the following sentences is nonsensical?\nOptions:\n- Sentence A: \"He used a banana to call his sister.\"\n- Sentence B: \"He used a phone to call his sister.\"\n\nAnswer: Sentence A\n\nChain-of-thought: Medals are made of metals or PVC and can never be made from rice.\n--\nQuestion: Pick which sentence is not logical.\nOptions:\n- Sentence A: \"He won the rice medal in a race\"\n- Sentence B: \"He won the gold medal in a race\"\n\nAnswer: Sentence A\n\nChain-of-thought: An antelope is an animal, not a boat.\n\n", "role": "user" }, { "content": "Question: One of the following sentences is nonsensical. Which one is it?\nOptions:\n- Sentence A: \"A sailboat is docked at the pier.\"\n- Sentence B: \"An antelope is docked at the pier.\"\n\nAnswer: Sentence B", "role": "assistant" } ]
Explanation for the following question's answer: Flowers and insects can have a symbiotic relationship. Question: Pick which sentence is not logical. Options: - Sentence A: "Flowers and insects are very different." - Sentence B: "Flowers and insects have no relationship." Answer: Sentence B Chain-of-thought: She cannot put the phone in the charger. -- Question: Choose the sentence that goes against common sense. Options: - Sentence A: "she put the charger in the phone" - Sentence B: "she put the phone in the charger" Answer: Sentence B Chain-of-thought: So far only governments have taken people to space. Question: Pick which sentence is not logical. Options: - Sentence A: "He took his mother to the hospital" - Sentence B: "He took his mother to outer space" Answer: Sentence B Explanation for the following question's answer: A Banana is a food while a phone is an electronic device. Question: Which of the following sentences is nonsensical? Options: - Sentence A: "He used a banana to call his sister." - Sentence B: "He used a phone to call his sister." Answer: Sentence A Chain-of-thought: Medals are made of metals or PVC and can never be made from rice. -- Question: Pick which sentence is not logical. Options: - Sentence A: "He won the rice medal in a race" - Sentence B: "He won the gold medal in a race" Answer: Sentence A Chain-of-thought: An antelope is an animal, not a boat.
Question: One of the following sentences is nonsensical. Which one is it? Options: - Sentence A: "A sailboat is docked at the pier." - Sentence B: "An antelope is docked at the pier." Answer: Sentence B
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In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance. [78, 70, 21, 4, 88, 53, 54, -2, -34]
122
0
NIv2
task1446_farthest_integers
zs_opt
[ { "content": "In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.\n\n[78, 70, 21, 4, 88, 53, 54, -2, -34]", "role": "user" }, { "content": "122", "role": "assistant" } ]
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance. [78, 70, 21, 4, 88, 53, 54, -2, -34]
122
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Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context Someone comes up level with someone and leads her towards his office, camera with them. He
slowly follow her to her room.
5
NIv2
task454_swag_incorrect_answer_generation
zs_opt
[ { "content": "Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context\n\nSomeone comes up level with someone and leads her towards his office, camera with them. He\n", "role": "user" }, { "content": "slowly follow her to her room.", "role": "assistant" } ]
Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context Someone comes up level with someone and leads her towards his office, camera with them. He
slowly follow her to her room.
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In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number. Q: [30, 130, 153, 77, 199, 87, 182, 183] A:
[153, 77, 199, 87, 183]
4
NIv2
task205_remove_even_elements
zs_opt
[ { "content": "In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.\nQ: [30, 130, 153, 77, 199, 87, 182, 183]\nA: ", "role": "user" }, { "content": "[153, 77, 199, 87, 183]", "role": "assistant" } ]
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number. Q: [30, 130, 153, 77, 199, 87, 182, 183] A:
[153, 77, 199, 87, 183]
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In this task, you are given a sentence in the French language. Your task is to convert it to Slovak language. Ex Input: 53% (10/ 19) Ex Output: 53% (10/ 19) Ex Input: Le traitement par CellCept ayant entraîné une augmentation de la fréquence des effets indésirables digestifs, incluant de rares cas d’ ulcération gastrointestinale, d’ hémorragie ou de perforation, CellCept doit être administré avec prudence chez les patients ayant une affection digestive sévère évolutive. Ex Output: Z toho dôvodu sa má opatrne podávať CellCept pacientom s aktívnymi závažnými ochoreniami gastrointestinálneho traktu. Ex Input: - de la clonidine (utilisée traiter l’hypertension), Ex Output:
- klonidín (používa sa na liečenie vysokého kvného tlaku),
1
NIv2
task762_emea_fr_sk_translation
fs_opt
[ { "content": "In this task, you are given a sentence in the French language. Your task is to convert it to Slovak language.\n\nEx Input:\n53% (10/ 19)\n\nEx Output:\n53% (10/ 19)\n\n\nEx Input:\nLe traitement par CellCept ayant entraîné une augmentation de la fréquence des effets indésirables digestifs, incluant de rares cas d’ ulcération gastrointestinale, d’ hémorragie ou de perforation, CellCept doit être administré avec prudence chez les patients ayant une affection digestive sévère évolutive.\n\nEx Output:\nZ toho dôvodu sa má opatrne podávať CellCept pacientom s aktívnymi závažnými ochoreniami gastrointestinálneho traktu.\n\n\nEx Input:\n- de la clonidine (utilisée traiter l’hypertension),\n\nEx Output:\n", "role": "user" }, { "content": "- klonidín (používa sa na liečenie vysokého kvného tlaku),\n\n\n", "role": "assistant" } ]
In this task, you are given a sentence in the French language. Your task is to convert it to Slovak language. Ex Input: 53% (10/ 19) Ex Output: 53% (10/ 19) Ex Input: Le traitement par CellCept ayant entraîné une augmentation de la fréquence des effets indésirables digestifs, incluant de rares cas d’ ulcération gastrointestinale, d’ hémorragie ou de perforation, CellCept doit être administré avec prudence chez les patients ayant une affection digestive sévère évolutive. Ex Output: Z toho dôvodu sa má opatrne podávať CellCept pacientom s aktívnymi závažnými ochoreniami gastrointestinálneho traktu. Ex Input: - de la clonidine (utilisée traiter l’hypertension), Ex Output:
- klonidín (používa sa na liečenie vysokého kvného tlaku),
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Given the task definition and input, reply with output. 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. Context : Upon its publication in 1934, critics hailed Call It Sleep as a modernist masterpiece reminiscent of the work of James Joyce and other modernist writers, as well as a realistic portrayal of immigrant life in New York City. Question : Which place is Call It Sleep in?
narrative location
5
NIv2
task1328_qa_zre_relation_generation_from_question
zs_opt
[ { "content": "Given the task definition and input, reply with output. 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.\n\nContext : Upon its publication in 1934, critics hailed Call It Sleep as a modernist masterpiece reminiscent of the work of James Joyce and other modernist writers, as well as a realistic portrayal of immigrant life in New York City. \nQuestion : Which place is Call It Sleep in?\n", "role": "user" }, { "content": "narrative location", "role": "assistant" } ]
Given the task definition and input, reply with output. 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. Context : Upon its publication in 1934, critics hailed Call It Sleep as a modernist masterpiece reminiscent of the work of James Joyce and other modernist writers, as well as a realistic portrayal of immigrant life in New York City. Question : Which place is Call It Sleep in?
narrative location
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You will be given a definition of a task first, then some input of the task. A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence. और इसलिए हम भारत में सबका, सबका विकास के मंत्र पर आगे बढ़ रहे हैं। Output:
And that is why we have been moving ahead on the path of Sabka Satha, Sabka Vikas in India.
1
NIv2
task1024_pib_translation_hindi_english
zs_opt
[ { "content": "You will be given a definition of a task first, then some input of the task.\nA text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.\n\nऔर इसलिए हम भारत में सबका, सबका विकास के मंत्र पर आगे बढ़ रहे हैं।\nOutput:", "role": "user" }, { "content": "And that is why we have been moving ahead on the path of Sabka Satha, Sabka Vikas in India.", "role": "assistant" } ]
You will be given a definition of a task first, then some input of the task. A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence. और इसलिए हम भारत में सबका, सबका विकास के मंत्र पर आगे बढ़ रहे हैं। Output:
And that is why we have been moving ahead on the path of Sabka Satha, Sabka Vikas in India.
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In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long. Let me give you an example: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected. The answer to this example can be: Michel Temer: Brazil's arrested former president Here is why: The output is a relevant title for the given passage as it highlights the main crux of the given text. OK. solve this: More than 100,000 Ulster Bank customers have been affected by ongoing delays in processing payments. Answer:
Ulster Bank technical glitch delays thousands of payments
8
NIv2
task1358_xlsum_title_generation
fs_opt
[ { "content": "In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.\n\nLet me give you an example: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected.\nThe answer to this example can be: Michel Temer: Brazil's arrested former president\nHere is why: The output is a relevant title for the given passage as it highlights the main crux of the given text.\n\nOK. solve this:\nMore than 100,000 Ulster Bank customers have been affected by ongoing delays in processing payments.\nAnswer:", "role": "user" }, { "content": "Ulster Bank technical glitch delays thousands of payments", "role": "assistant" } ]
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long. Let me give you an example: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected. The answer to this example can be: Michel Temer: Brazil's arrested former president Here is why: The output is a relevant title for the given passage as it highlights the main crux of the given text. OK. solve this: More than 100,000 Ulster Bank customers have been affected by ongoing delays in processing payments. Answer:
Ulster Bank technical glitch delays thousands of payments
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Q: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment. Leave fightin ' that thing ta those of us ain 't got nothin ' ta live fir . " A:
Original
7
NIv2
task515_senteval_odd_word_out
zs_opt
[ { "content": "Q: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as \"Original\" or \"Changed\" based on your judgment.\nLeave fightin ' that thing ta those of us ain 't got nothin ' ta live fir . \"\nA:", "role": "user" }, { "content": "Original", "role": "assistant" } ]
Q: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment. Leave fightin ' that thing ta those of us ain 't got nothin ' ta live fir . " A:
Original
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: all_eq { all_rows ; national team ; brazil }, interpretation: for the national team records of all rows , all of them fuzzily match to brazil . A:
yes
9
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nQ: Command: all_eq { all_rows ; national team ; brazil }, interpretation: for the national team records of all rows , all of them fuzzily match to brazil .\nA:", "role": "user" }, { "content": "yes", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: all_eq { all_rows ; national team ; brazil }, interpretation: for the national team records of all rows , all of them fuzzily match to brazil . A:
yes
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You will be given a definition of a task first, then some input of the task. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew. トリニダード・トバゴは他の土地とは全く違うのです （ 笑 ） Output:
טרינידד וטובגו הם מקומות עם חוקים אחרים של פיזיקה, ביולוגיה, או כל דבר.
1
NIv2
task1225_ted_translation_ja_he
zs_opt
[ { "content": "You will be given a definition of a task first, then some input of the task.\nYou are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.\n\nトリニダード・トバゴは他の土地とは全く違うのです （ 笑 ）\nOutput:", "role": "user" }, { "content": "טרינידד וטובגו הם מקומות עם חוקים אחרים של פיזיקה, ביולוגיה, או כל דבר.", "role": "assistant" } ]
You will be given a definition of a task first, then some input of the task. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew. トリニダード・トバゴは他の土地とは全く違うのです （ 笑 ） Output:
טרינידד וטובגו הם מקומות עם חוקים אחרים של פיזיקה, ביולוגיה, או כל דבר.
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Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew. (Risos) Ben, neste nivel, que chamamos córtex temporal inferior, só hai imaxes visuais, ou representacións ou fragmentos. A:
[צחוק] ברמה הזאת, בקליפה הרקתית התחתונה ישנן רק תמונות שנצפו או תמונות פרי הדמיון או מקטעי תמונות.
7
NIv2
task1242_ted_translation_gl_he
zs_opt
[ { "content": "Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.\n(Risos) Ben, neste nivel, que chamamos córtex temporal inferior, só hai imaxes visuais, ou representacións ou fragmentos.\nA:", "role": "user" }, { "content": "[צחוק] ברמה הזאת, בקליפה הרקתית התחתונה ישנן רק תמונות שנצפו או תמונות פרי הדמיון או מקטעי תמונות.", "role": "assistant" } ]
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew. (Risos) Ben, neste nivel, que chamamos córtex temporal inferior, só hai imaxes visuais, ou representacións ou fragmentos. A:
[צחוק] ברמה הזאת, בקליפה הרקתית התחתונה ישנן רק תמונות שנצפו או תמונות פרי הדמיון או מקטעי תמונות.
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In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence. [EX Q]: Statement: Cholesterol isn't necessarily unhealthy, and margarine is as bad as butter. Choices: 1. Cholesterol can be ok for you, but both margarine and butter cause heart attacks. 2. Cholesterol can be ok for you. 3. Cholesterol is critical for your good health. [EX A]: 2 [EX Q]: Statement: The mysteries are those depicted in a vast fresco of a young woman's initiation into the cult of Dionysius of Greek origin. Choices: 1. The fresco was painted by the young woman who was initiated into the cult of Dionysius. 2. The fresco contains depictions of a young lady's journey through the initiation process of the cult of Dionysius. 3. The fresco was destroyed by angered members of the cult of Dionysis. [EX A]: 2 [EX Q]: Statement: He's a proselytizer of newspapers. Choices: 1. The newspaper originally had ideas that countered his own. 2. The newspaper changes its views based on him. 3. He hasn't prolytized a single newspaper in his life. [EX A]:
2
6
NIv2
task200_mnli_entailment_classification
fs_opt
[ { "content": "In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.\n\n[EX Q]: Statement: Cholesterol isn't necessarily unhealthy, and margarine is as bad as butter. Choices: 1. Cholesterol can be ok for you, but both margarine and butter cause heart attacks. 2. Cholesterol can be ok for you. 3. Cholesterol is critical for your good health.\n[EX A]: 2\n\n[EX Q]: Statement: The mysteries are those depicted in a vast fresco of a young woman's initiation into the cult of Dionysius of Greek origin. Choices: 1. The fresco was painted by the young woman who was initiated into the cult of Dionysius. 2. The fresco contains depictions of a young lady's journey through the initiation process of the cult of Dionysius. 3. The fresco was destroyed by angered members of the cult of Dionysis.\n[EX A]: 2\n\n[EX Q]: Statement: He's a proselytizer of newspapers. Choices: 1. The newspaper originally had ideas that countered his own. 2. The newspaper changes its views based on him. 3. He hasn't prolytized a single newspaper in his life.\n[EX A]:", "role": "user" }, { "content": "2\n\n", "role": "assistant" } ]
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence. [EX Q]: Statement: Cholesterol isn't necessarily unhealthy, and margarine is as bad as butter. Choices: 1. Cholesterol can be ok for you, but both margarine and butter cause heart attacks. 2. Cholesterol can be ok for you. 3. Cholesterol is critical for your good health. [EX A]: 2 [EX Q]: Statement: The mysteries are those depicted in a vast fresco of a young woman's initiation into the cult of Dionysius of Greek origin. Choices: 1. The fresco was painted by the young woman who was initiated into the cult of Dionysius. 2. The fresco contains depictions of a young lady's journey through the initiation process of the cult of Dionysius. 3. The fresco was destroyed by angered members of the cult of Dionysis. [EX A]: 2 [EX Q]: Statement: He's a proselytizer of newspapers. Choices: 1. The newspaper originally had ideas that countered his own. 2. The newspaper changes its views based on him. 3. He hasn't prolytized a single newspaper in his life. [EX A]:
2
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Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment. Problem:He had a monitor with him to see what was going on in the narrow passage. Solution:
Singular
8
NIv2
task431_senteval_object_count
zs_opt
[ { "content": "Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as \"Singular\" or \"Plural\" based on your judgment.\nProblem:He had a monitor with him to see what was going on in the narrow passage.\nSolution:", "role": "user" }, { "content": "Singular", "role": "assistant" } ]
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment. Problem:He had a monitor with him to see what was going on in the narrow passage. Solution:
Singular
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instruction: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set. question: block#sky#sun answer: clouds blocking the sun on the sky question: autumn#leave#park answer: autumn leaves in the park question: bridge#cross#tide answer:
the train bridge crossing a city at low tide
9
NIv2
task102_commongen_sentence_generation
fs_opt
[ { "content": "instruction:\nIn this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by \"#\". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.\nquestion:\nblock#sky#sun\nanswer:\nclouds blocking the sun on the sky\n\n\nquestion:\nautumn#leave#park\nanswer:\nautumn leaves in the park\n\n\nquestion:\nbridge#cross#tide\nanswer:\n", "role": "user" }, { "content": "the train bridge crossing a city at low tide\n\n\n", "role": "assistant" } ]
instruction: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set. question: block#sky#sun answer: clouds blocking the sun on the sky question: autumn#leave#park answer: autumn leaves in the park question: bridge#cross#tide answer:
the train bridge crossing a city at low tide
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Answer the following question: Does the following sentence make sense? "Melania Trump married Donald Trump in 2005." Options: - yes - no My answer and thoughts: The answer is yes. Chain of thoughts: This is true and well documented,and their exact date was January 22, 2005. Answer the following question: "Spider-Man: Homecoming reception was awful and a sequel is out of the question." Is the above claim true? Options: - yes - no My answer and thoughts: The answer is no. Chain of thoughts: Spider-Man: Homecoming was a huge box office succes that has already made a sequel. Answer the following question: Does the following sentence make sense? "The Little Prince gained fame as an extremely short historical British monarch." Options: - yes - no My answer and thoughts:
The answer is no. Chain of thoughts: The Little Prince became a widely read novel about a fictional character.
8
CoT
cot_creak
fs_opt
[ { "content": "Answer the following question: Does the following sentence make sense?\n\"Melania Trump married Donald Trump in 2005.\"\nOptions:\n- yes\n- no\nMy answer and thoughts: The answer is yes.\nChain of thoughts: This is true and well documented,and their exact date was January 22, 2005.\n\nAnswer the following question: \"Spider-Man: Homecoming reception was awful and a sequel is out of the question.\"\nIs the above claim true?\nOptions:\n- yes\n- no\nMy answer and thoughts: The answer is no.\nChain of thoughts: Spider-Man: Homecoming was a huge box office succes that has already made a sequel.\n\nAnswer the following question: Does the following sentence make sense?\n\"The Little Prince gained fame as an extremely short historical British monarch.\"\nOptions:\n- yes\n- no\nMy answer and thoughts:", "role": "user" }, { "content": "The answer is no.\nChain of thoughts: The Little Prince became a widely read novel about a fictional character.", "role": "assistant" } ]
Answer the following question: Does the following sentence make sense? "Melania Trump married Donald Trump in 2005." Options: - yes - no My answer and thoughts: The answer is yes. Chain of thoughts: This is true and well documented,and their exact date was January 22, 2005. Answer the following question: "Spider-Man: Homecoming reception was awful and a sequel is out of the question." Is the above claim true? Options: - yes - no My answer and thoughts: The answer is no. Chain of thoughts: Spider-Man: Homecoming was a huge box office succes that has already made a sequel. Answer the following question: Does the following sentence make sense? "The Little Prince gained fame as an extremely short historical British monarch." Options: - yes - no My answer and thoughts:
The answer is no. Chain of thoughts: The Little Prince became a widely read novel about a fictional character.
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Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time. Input: Statement: Even knowing it was but a statue carved by man did little to reduce his wonder. Choices: 1. A man carved the statue. 2. A man carved the statue of the deer. 3. A woman had whittled the statue. Output:
2
2
NIv2
task201_mnli_neutral_classification
zs_opt
[ { "content": "Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time.\nInput: Statement: Even knowing it was but a statue carved by man did little to reduce his wonder. Choices: 1. A man carved the statue. 2. A man carved the statue of the deer. 3. A woman had whittled the statue.\nOutput:", "role": "user" }, { "content": "2", "role": "assistant" } ]
Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time. Input: Statement: Even knowing it was but a statue carved by man did little to reduce his wonder. Choices: 1. A man carved the statue. 2. A man carved the statue of the deer. 3. A woman had whittled the statue. Output:
2
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Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers. Input: Consider Input: Fact: Humans can't live on a planet that is too hot. Question: What can't humans live on? Correct Answer: A plant that's too hot. Output: A planet that's alive. Input: Consider Input: Fact: oncogenes fix cells. Question: what do oncogenes do to cells? Correct Answer: fix. Output: break. Input: Consider Input: Fact: A hard, curved plate of keratin prevents injury to the ends of extremities. Question: A hard, curved plate of what prevents injury to the ends of extremities? Correct Answer: keratin.
Output: bone.
2
NIv2
task042_qasc_incorrect_option_generation
fs_opt
[ { "content": "Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question \"What helps plants survive?\", using words like \"weeds\", \"vase\", \"bee\" (associated with \"plant\"), or \"first aid\", \"parachute\", \"accident\" (associated with \"survive\") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.\n\nInput: Consider Input: Fact: Humans can't live on a planet that is too hot. \nQuestion: What can't humans live on? \nCorrect Answer: A plant that's too hot.\n\nOutput: A planet that's alive.\n\n\nInput: Consider Input: Fact: oncogenes fix cells. \nQuestion: what do oncogenes do to cells? \nCorrect Answer: fix.\n\nOutput: break.\n\n\nInput: Consider Input: Fact: A hard, curved plate of keratin prevents injury to the ends of extremities. \nQuestion: A hard, curved plate of what prevents injury to the ends of extremities? \nCorrect Answer: keratin.\n\n", "role": "user" }, { "content": "Output: bone.\n\n\n", "role": "assistant" } ]
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers. Input: Consider Input: Fact: Humans can't live on a planet that is too hot. Question: What can't humans live on? Correct Answer: A plant that's too hot. Output: A planet that's alive. Input: Consider Input: Fact: oncogenes fix cells. Question: what do oncogenes do to cells? Correct Answer: fix. Output: break. Input: Consider Input: Fact: A hard, curved plate of keratin prevents injury to the ends of extremities. Question: A hard, curved plate of what prevents injury to the ends of extremities? Correct Answer: keratin.
Output: bone.
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The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question Ex Input: What is one avenue being compensated for by having committees serve such a large role? Ex Output: Quin representa recollir proves dels testimonis per part de les comissions? Ex Input: Who decided not to come visit the country in 2013? Ex Output: Què va visitar Kenyatta per invitació del president? Ex Input: How many points did the Broncos score in the last three minutes of the game versus Pittsburgh? Ex Output:
Quants punts van anotar els Broncos en els darrers tres minuts de partit contra Pittsburgh?
1
NIv2
task1677_xquad-ca_translation
fs_opt
[ { "content": "The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question\n\nEx Input:\nWhat is one avenue being compensated for by having committees serve such a large role?\n\nEx Output:\nQuin representa recollir proves dels testimonis per part de les comissions?\n\n\nEx Input:\nWho decided not to come visit the country in 2013?\n\nEx Output:\nQuè va visitar Kenyatta per invitació del president?\n\n\nEx Input:\nHow many points did the Broncos score in the last three minutes of the game versus Pittsburgh?\n\nEx Output:\n", "role": "user" }, { "content": "Quants punts van anotar els Broncos en els darrers tres minuts de partit contra Pittsburgh?\n\n\n", "role": "assistant" } ]
The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question Ex Input: What is one avenue being compensated for by having committees serve such a large role? Ex Output: Quin representa recollir proves dels testimonis per part de les comissions? Ex Input: Who decided not to come visit the country in 2013? Ex Output: Què va visitar Kenyatta per invitació del president? Ex Input: How many points did the Broncos score in the last three minutes of the game versus Pittsburgh? Ex Output:
Quants punts van anotar els Broncos en els darrers tres minuts de partit contra Pittsburgh?
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Given the task definition and input, reply with output. In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal. rwgqQcaLNpgXKrVAkxTiPDWd, TvkBRFZBXiQcaLNpgXKrcUm
a, c, d, g, i, k, l, n, p, q, r, t, v, w, x
5
NIv2
task756_find_longert_substring_and_return_all_unique_alphabets_in_it
zs_opt
[ { "content": "Given the task definition and input, reply with output. In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.\n\nrwgqQcaLNpgXKrVAkxTiPDWd, TvkBRFZBXiQcaLNpgXKrcUm\n", "role": "user" }, { "content": "a, c, d, g, i, k, l, n, p, q, r, t, v, w, x", "role": "assistant" } ]
Given the task definition and input, reply with output. In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal. rwgqQcaLNpgXKrVAkxTiPDWd, TvkBRFZBXiQcaLNpgXKrcUm
a, c, d, g, i, k, l, n, p, q, r, t, v, w, x
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In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent". Example: Let me know if there's anything else I can help you with. Example solution: Agent Example explanation: In this example, the speaker wants to help, and it's part of the agent's job. So, the output should be "Agent". Problem: What else do I have scheduled today?
Solution: user
5
NIv2
task1599_smcalflow_classification
fs_opt
[ { "content": "In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with \"User\" or \"Agent\".\nExample: Let me know if there's anything else I can help you with.\nExample solution: Agent\nExample explanation: In this example, the speaker wants to help, and it's part of the agent's job. So, the output should be \"Agent\".\n\nProblem: What else do I have scheduled today?\n", "role": "user" }, { "content": "Solution: user", "role": "assistant" } ]
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent". Example: Let me know if there's anything else I can help you with. Example solution: Agent Example explanation: In this example, the speaker wants to help, and it's part of the agent's job. So, the output should be "Agent". Problem: What else do I have scheduled today?
Solution: user
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QUESTION: Test for natural language inference. Premise: "Two women are seated near the water." Hypothesis: "Women resting near the riverbank." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell Let's solve it slowly: Two women are seated near the water does not imply that she resting near the riverbank. The answer is it is not possible to tell. QUESTION: Given the sentence "A woman in a baseball uniform tags another with her mitt." can we conclude that "A woman in a baseball uniform tags another for the out."? Options: - yes - it is not possible to tell - no Let's solve it slowly: A woman that tags another with her mitt surely tags another for the out. The answer is yes. QUESTION: If "A group of people assemble themselves around a big body of water at night." does that mean that "A class is learning by water."? Options: - yes - it is not possible to tell - no Let's solve it slowly:
A group of people assembled by the water doesn't imply that they are learning. The answer is it is not possible to tell.
8
CoT
cot_esnli
fs_opt
[ { "content": "QUESTION: Test for natural language inference.\nPremise: \"Two women are seated near the water.\"\nHypothesis: \"Women resting near the riverbank.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- no\n- it is not possible to tell\n\nLet's solve it slowly: Two women are seated near the water does not imply that she resting near the riverbank.\nThe answer is it is not possible to tell.\n\n\nQUESTION: Given the sentence \"A woman in a baseball uniform tags another with her mitt.\" can we conclude that \"A woman in a baseball uniform tags another for the out.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nLet's solve it slowly: A woman that tags another with her mitt surely tags another for the out.\nThe answer is yes.\n\n\nQUESTION: If \"A group of people assemble themselves around a big body of water at night.\" does that mean that \"A class is learning by water.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nLet's solve it slowly:", "role": "user" }, { "content": "A group of people assembled by the water doesn't imply that they are learning.\nThe answer is it is not possible to tell.", "role": "assistant" } ]
QUESTION: Test for natural language inference. Premise: "Two women are seated near the water." Hypothesis: "Women resting near the riverbank." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell Let's solve it slowly: Two women are seated near the water does not imply that she resting near the riverbank. The answer is it is not possible to tell. QUESTION: Given the sentence "A woman in a baseball uniform tags another with her mitt." can we conclude that "A woman in a baseball uniform tags another for the out."? Options: - yes - it is not possible to tell - no Let's solve it slowly: A woman that tags another with her mitt surely tags another for the out. The answer is yes. QUESTION: If "A group of people assemble themselves around a big body of water at night." does that mean that "A class is learning by water."? Options: - yes - it is not possible to tell - no Let's solve it slowly:
A group of people assembled by the water doesn't imply that they are learning. The answer is it is not possible to tell.
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You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. One example is below. Q: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها A: Poradzi sobie, ale trzeba na nią uważać. Rationale: The Arabic sentence is correctly translated into Polish, because the meaning is preserved. Q: سوف أقوم بعرضها, ومن ثم سأقوم بشرحها. A:
Najpierw ją wykonam, później wyjaśnię,
9
NIv2
task1107_ted_translation_ar_pl
fs_opt
[ { "content": "You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.\nOne example is below.\nQ: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها\nA: Poradzi sobie, ale trzeba na nią uważać.\nRationale: The Arabic sentence is correctly translated into Polish, because the meaning is preserved.\nQ: سوف أقوم بعرضها, ومن ثم سأقوم بشرحها.\nA:", "role": "user" }, { "content": "Najpierw ją wykonam, później wyjaśnię,", "role": "assistant" } ]
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. One example is below. Q: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها A: Poradzi sobie, ale trzeba na nią uważać. Rationale: The Arabic sentence is correctly translated into Polish, because the meaning is preserved. Q: سوف أقوم بعرضها, ومن ثم سأقوم بشرحها. A:
Najpierw ją wykonam, później wyjaśnię,
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Is the following sentence factually correct? "People attempt Divination in order to record things happening in the present." Options: - yes - no Step-by-step reasoning process:
Divination is used to see into the future, not record the present. Therefore, the final answer is no.
7
CoT
cot_creak
zs_opt
[ { "content": "Is the following sentence factually correct?\n\"People attempt Divination in order to record things happening in the present.\"\nOptions:\n- yes\n- no Step-by-step reasoning process:", "role": "user" }, { "content": "Divination is used to see into the future, not record the present. Therefore, the final answer is no.", "role": "assistant" } ]
Is the following sentence factually correct? "People attempt Divination in order to record things happening in the present." Options: - yes - no Step-by-step reasoning process:
Divination is used to see into the future, not record the present. Therefore, the final answer is no.
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Student: Can we conclude from "Activists marching through park on sunny day." that "Activists go through a park."? Options: - yes - no - it is not possible to tell. Teacher: Let's think:
Activists marching through a park means they are going through a park. So the final answer is yes.
5
CoT
cot_esnli
zs_opt
[ { "content": "Student: Can we conclude from \"Activists marching through park on sunny day.\" that \"Activists go through a park.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell.\nTeacher: Let's think:\n", "role": "user" }, { "content": "Activists marching through a park means they are going through a park. So the final answer is yes.", "role": "assistant" } ]
Student: Can we conclude from "Activists marching through park on sunny day." that "Activists go through a park."? Options: - yes - no - it is not possible to tell. Teacher: Let's think:
Activists marching through a park means they are going through a park. So the final answer is yes.
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Answer the following question: Is the following statement true? "Charles Manson existed as an American criminal and cult leader." My answer and thoughts: The answer is yes. Chain of thoughts: The sentence is true because there are records of his followers committing murder in order to obey him. He is also widely known for this. Answer the following question: Yes / no, is the following a verifiable fact? "Lionel Richie used a saxaphone when recording music before." My answer and thoughts: The answer is yes. Chain of thoughts: Lionel Richie played the saxaphone as part of his creation of music. Answer the following question: Yes / no, is the following a verifiable fact? "The Respiratory system helps muscles repair themselves when they are torn." My answer and thoughts:
The answer is no. Chain of thoughts: The respiratory system helps the body to breathe.
8
CoT
cot_creak
fs_opt
[ { "content": "Answer the following question: Is the following statement true?\n\"Charles Manson existed as an American criminal and cult leader.\"\nMy answer and thoughts: The answer is yes.\nChain of thoughts: The sentence is true because there are records of his followers committing murder in order to obey him. He is also widely known for this.\n\nAnswer the following question: Yes / no, is the following a verifiable fact?\n\"Lionel Richie used a saxaphone when recording music before.\"\nMy answer and thoughts: The answer is yes.\nChain of thoughts: Lionel Richie played the saxaphone as part of his creation of music.\n\nAnswer the following question: Yes / no, is the following a verifiable fact?\n\"The Respiratory system helps muscles repair themselves when they are torn.\"\nMy answer and thoughts:", "role": "user" }, { "content": "The answer is no.\nChain of thoughts: The respiratory system helps the body to breathe.", "role": "assistant" } ]
Answer the following question: Is the following statement true? "Charles Manson existed as an American criminal and cult leader." My answer and thoughts: The answer is yes. Chain of thoughts: The sentence is true because there are records of his followers committing murder in order to obey him. He is also widely known for this. Answer the following question: Yes / no, is the following a verifiable fact? "Lionel Richie used a saxaphone when recording music before." My answer and thoughts: The answer is yes. Chain of thoughts: Lionel Richie played the saxaphone as part of his creation of music. Answer the following question: Yes / no, is the following a verifiable fact? "The Respiratory system helps muscles repair themselves when they are torn." My answer and thoughts:
The answer is no. Chain of thoughts: The respiratory system helps the body to breathe.
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: eq { hop { nth_argmax { all_rows ; episode ; 2 } ; segment b } ; compact track loaders }, interpretation: select the row whose episode record of all rows is 2nd maximum . the segment b record of this row is compact track loaders . A:
yes
9
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nQ: Command: eq { hop { nth_argmax { all_rows ; episode ; 2 } ; segment b } ; compact track loaders }, interpretation: select the row whose episode record of all rows is 2nd maximum . the segment b record of this row is compact track loaders .\nA:", "role": "user" }, { "content": "yes", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: eq { hop { nth_argmax { all_rows ; episode ; 2 } ; segment b } ; compact track loaders }, interpretation: select the row whose episode record of all rows is 2nd maximum . the segment b record of this row is compact track loaders . A:
yes
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*Ans* yes *Question* If "A man walking down the street carrying a shopping bag." does that mean that "A man carrying a bag."? Options: - yes - it is not possible to tell - no *CoT* Carrying a bag is a restatement of carrying a shopping bag. *Ans* yes *Question* If "Young girl with red-hair and heavy eyeliner balls up her food wrapper." does that mean that "The redhead is eating fast food."? Options: - yes - it is not possible to tell - no *CoT* Fast food is the style of food that has food wrappers in this modern era. *Ans* no *Question* Can we conclude from "A small girl with brown hair walks away from a blue body of water while wearing a frilly yellow dress and an orange bonnet." that "They are sitting on a couch."? Options: - yes - no - it is not possible to tell *CoT* Someone cannot be walking away and sitting at the same time. *Ans* it is not possible to tell *Question*
Premise: "A woman in a red coat and brown hat and a man in a black leather coat walk by a street food vendor." Hypothesis: "The woman has red hair." Do we know that the hypothesis entailed by the premise? *CoT* A woman in a red coat does not necessarily have red hair.
7
CoT
cot_esnli_ii
fs_opt
[ { "content": "*Ans* yes\n*Question* If \"A man walking down the street carrying a shopping bag.\" does that mean that \"A man carrying a bag.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n*CoT* Carrying a bag is a restatement of carrying a shopping bag.\n\n*Ans* yes\n*Question* If \"Young girl with red-hair and heavy eyeliner balls up her food wrapper.\" does that mean that \"The redhead is eating fast food.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n*CoT* Fast food is the style of food that has food wrappers in this modern era.\n\n*Ans* no\n*Question* Can we conclude from \"A small girl with brown hair walks away from a blue body of water while wearing a frilly yellow dress and an orange bonnet.\" that \"They are sitting on a couch.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\n*CoT* Someone cannot be walking away and sitting at the same time.\n\n*Ans* it is not possible to tell\n*Question*", "role": "user" }, { "content": "Premise: \"A woman in a red coat and brown hat and a man in a black leather coat walk by a street food vendor.\"\nHypothesis: \"The woman has red hair.\"\nDo we know that the hypothesis entailed by the premise?\n*CoT* A woman in a red coat does not necessarily have red hair.", "role": "assistant" } ]
*Ans* yes *Question* If "A man walking down the street carrying a shopping bag." does that mean that "A man carrying a bag."? Options: - yes - it is not possible to tell - no *CoT* Carrying a bag is a restatement of carrying a shopping bag. *Ans* yes *Question* If "Young girl with red-hair and heavy eyeliner balls up her food wrapper." does that mean that "The redhead is eating fast food."? Options: - yes - it is not possible to tell - no *CoT* Fast food is the style of food that has food wrappers in this modern era. *Ans* no *Question* Can we conclude from "A small girl with brown hair walks away from a blue body of water while wearing a frilly yellow dress and an orange bonnet." that "They are sitting on a couch."? Options: - yes - no - it is not possible to tell *CoT* Someone cannot be walking away and sitting at the same time. *Ans* it is not possible to tell *Question*
Premise: "A woman in a red coat and brown hat and a man in a black leather coat walk by a street food vendor." Hypothesis: "The woman has red hair." Do we know that the hypothesis entailed by the premise? *CoT* A woman in a red coat does not necessarily have red hair.
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Where would you store a pillow case that is not in use? Options: - kitchen cupboard - bedding store - england - drawer - bedroom Step-by-step reasoning process below:
People usually keep clothes and bedsheets and pillow cases and other cloth materials in a drawer. The answer: drawer.
1
CoT
cot_ecqa
zs_opt
[ { "content": "Where would you store a pillow case that is not in use?\nOptions:\n- kitchen cupboard\n- bedding store\n- england\n- drawer\n- bedroom\nStep-by-step reasoning process below:\n", "role": "user" }, { "content": "People usually keep clothes and bedsheets and pillow cases and other cloth materials in a drawer. The answer: drawer.", "role": "assistant" } ]
Where would you store a pillow case that is not in use? Options: - kitchen cupboard - bedding store - england - drawer - bedroom Step-by-step reasoning process below:
People usually keep clothes and bedsheets and pillow cases and other cloth materials in a drawer. The answer: drawer.
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Next Question: Given the sentence "The older woman is talking to the child." is it true that "They are not speaking."? My Answer: Let's think. One who is talking cannot be said to be not speaking. The answer is no. -- Next Question: Test for natural language inference. Premise: "A small girl is brushing her teeth with a pink toothbrush." Hypothesis: "A small girl washes her face." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell My Answer: Let's think. Girl cannot be washing face and brushing teeth at same time. The answer is no. -- Next Question: Test for natural language inference. Premise: "A man jumping from one building to another closeby." Hypothesis: "A man is jumping on a pogo stick." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell My Answer:
Let's think. Jumping from one building to another does not imply using a pogo stick. The answer is it is not possible to tell. --
1
CoT
cot_esnli
fs_opt
[ { "content": "Next Question: Given the sentence \"The older woman is talking to the child.\" is it true that \"They are not speaking.\"?\nMy Answer: Let's think. One who is talking cannot be said to be not speaking. The answer is no.\n--\nNext Question: Test for natural language inference.\nPremise: \"A small girl is brushing her teeth with a pink toothbrush.\"\nHypothesis: \"A small girl washes her face.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- no\n- it is not possible to tell\nMy Answer: Let's think. Girl cannot be washing face and brushing teeth at same time. The answer is no.\n--\nNext Question: Test for natural language inference.\nPremise: \"A man jumping from one building to another closeby.\"\nHypothesis: \"A man is jumping on a pogo stick.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- no\n- it is not possible to tell\nMy Answer:", "role": "user" }, { "content": "Let's think. Jumping from one building to another does not imply using a pogo stick. The answer is it is not possible to tell.\n--", "role": "assistant" } ]
Next Question: Given the sentence "The older woman is talking to the child." is it true that "They are not speaking."? My Answer: Let's think. One who is talking cannot be said to be not speaking. The answer is no. -- Next Question: Test for natural language inference. Premise: "A small girl is brushing her teeth with a pink toothbrush." Hypothesis: "A small girl washes her face." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell My Answer: Let's think. Girl cannot be washing face and brushing teeth at same time. The answer is no. -- Next Question: Test for natural language inference. Premise: "A man jumping from one building to another closeby." Hypothesis: "A man is jumping on a pogo stick." Is the hypothesis entailed by the premise? Options: - yes - no - it is not possible to tell My Answer:
Let's think. Jumping from one building to another does not imply using a pogo stick. The answer is it is not possible to tell. --
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: all_eq { all_rows ; date ; 11 april 1981 }, interpretation: select the row whose home team score record of all rows is maximum . the home team record of this row is essendon . A:
no
9
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nQ: Command: all_eq { all_rows ; date ; 11 april 1981 }, interpretation: select the row whose home team score record of all rows is maximum . the home team record of this row is essendon .\nA:", "role": "user" }, { "content": "no", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: all_eq { all_rows ; date ; 11 april 1981 }, interpretation: select the row whose home team score record of all rows is maximum . the home team record of this row is essendon . A:
no
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: and { only { filter_eq { all_rows ; nationality ; milanese } } ; eq { hop { filter_eq { all_rows ; nationality ; milanese } ; elector } ; simone borsano } }, interpretation: select the rows whose player record fuzzily matches to lionel cann . take the runs record of this row . select the rows whose player record fuzzily matches to dean minors . take the runs record of this row . the first record is greater than the second record . A:
no
9
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nQ: Command: and { only { filter_eq { all_rows ; nationality ; milanese } } ; eq { hop { filter_eq { all_rows ; nationality ; milanese } ; elector } ; simone borsano } }, interpretation: select the rows whose player record fuzzily matches to lionel cann . take the runs record of this row . select the rows whose player record fuzzily matches to dean minors . take the runs record of this row . the first record is greater than the second record .\nA:", "role": "user" }, { "content": "no", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Q: Command: and { only { filter_eq { all_rows ; nationality ; milanese } } ; eq { hop { filter_eq { all_rows ; nationality ; milanese } ; elector } ; simone borsano } }, interpretation: select the rows whose player record fuzzily matches to lionel cann . take the runs record of this row . select the rows whose player record fuzzily matches to dean minors . take the runs record of this row . the first record is greater than the second record . A:
no
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic. A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar. Solution: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي. Why? The Spanish sentence is correctly translated into Arabic, because the meaning is preserved. New input: Yo la llamaba mi tía. Solution:
كنت أدعوها عمتي.
0
NIv2
task1228_ted_translation_es_ar
fs_opt
[ { "content": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nYou are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.\n\nA fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar.\nSolution: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.\nWhy? The Spanish sentence is correctly translated into Arabic, because the meaning is preserved.\n\nNew input: Yo la llamaba mi tía.\nSolution:", "role": "user" }, { "content": "كنت أدعوها عمتي.", "role": "assistant" } ]
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic. A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar. Solution: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي. Why? The Spanish sentence is correctly translated into Arabic, because the meaning is preserved. New input: Yo la llamaba mi tía. Solution:
كنت أدعوها عمتي.
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Given the stream of consciousness rationale, provide a reasonable question and answer. Rationale: A dog rolling in the grass does not necessarily imply that it is on a summer day. The question and answer:
Given the sentence "A dog rolls on his back in the grass." can we conclude that "A dog is playing in the grass on a warm summer day."? Options: - yes - it is not possible to tell - no The answer is it is not possible to tell
13
CoT
cot_esnli_ii
zs_opt
[ { "content": "Given the stream of consciousness rationale, provide a reasonable question and answer. Rationale: A dog rolling in the grass does not necessarily imply that it is on a summer day.\n The question and answer:", "role": "user" }, { "content": "Given the sentence \"A dog rolls on his back in the grass.\" can we conclude that \"A dog is playing in the grass on a warm summer day.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\nThe answer is it is not possible to tell", "role": "assistant" } ]
Given the stream of consciousness rationale, provide a reasonable question and answer. Rationale: A dog rolling in the grass does not necessarily imply that it is on a summer day. The question and answer:
Given the sentence "A dog rolls on his back in the grass." can we conclude that "A dog is playing in the grass on a warm summer day."? Options: - yes - it is not possible to tell - no The answer is it is not possible to tell
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In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'. Zijn er ooit ongelukken geweest ?
None
0
NIv2
task1545_conll2002_person_name_extraction_answer_generation
zs_opt
[ { "content": "In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.\n\nZijn er ooit ongelukken geweest ?", "role": "user" }, { "content": "None", "role": "assistant" } ]
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'. Zijn er ooit ongelukken geweest ?
None
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Question and Answer: Which of these sentences doesn't make sense? Options: - Sentence A: "the guy was playing game on the mobile phone" - Sentence B: "the dog was playing game on the mobile phone" Sentence B Some idea for the solution: Dogs lack opposable thumbs and the cognition to play mobile phone games. Question and Answer: Which of the following sentences is nonsensical? Options: - Sentence A: "Everyone eventually dies." - Sentence B: "No one ever dies." Sentence B Some idea for the solution: Millions of people around the world die every day. Question and Answer: Of the following two sentences, which one is against common sense? Options: - Sentence A: "she takes her swimsuit during rainy days" - Sentence B: "she takes her umbrella during rainy days" Sentence A Some idea for the solution: Swimsuit is a dress material which cannot be used in rainy days. Question and Answer: Which of the following sentences is nonsensical? Options: - Sentence A: "the car wheel got punctured" - Sentence B: "the car lamp got punctured" Sentence B Some idea for the solution:
Car lamps can be cracked or broken but not punctured.
7
CoT
cot_sensemaking_ii
fs_opt
[ { "content": "Question and Answer: Which of these sentences doesn't make sense?\nOptions:\n- Sentence A: \"the guy was playing game on the mobile phone\"\n- Sentence B: \"the dog was playing game on the mobile phone\"\n\nSentence B\nSome idea for the solution: Dogs lack opposable thumbs and the cognition to play mobile phone games.\n\n\nQuestion and Answer: Which of the following sentences is nonsensical?\nOptions:\n- Sentence A: \"Everyone eventually dies.\"\n- Sentence B: \"No one ever dies.\"\n\nSentence B\nSome idea for the solution: Millions of people around the world die every day.\n\n\nQuestion and Answer: Of the following two sentences, which one is against common sense?\nOptions:\n- Sentence A: \"she takes her swimsuit during rainy days\"\n- Sentence B: \"she takes her umbrella during rainy days\"\n\nSentence A\nSome idea for the solution: Swimsuit is a dress material which cannot be used in rainy days.\n\n\nQuestion and Answer: Which of the following sentences is nonsensical?\nOptions:\n- Sentence A: \"the car wheel got punctured\"\n- Sentence B: \"the car lamp got punctured\"\n\nSentence B\nSome idea for the solution:", "role": "user" }, { "content": "Car lamps can be cracked or broken but not punctured.", "role": "assistant" } ]
Question and Answer: Which of these sentences doesn't make sense? Options: - Sentence A: "the guy was playing game on the mobile phone" - Sentence B: "the dog was playing game on the mobile phone" Sentence B Some idea for the solution: Dogs lack opposable thumbs and the cognition to play mobile phone games. Question and Answer: Which of the following sentences is nonsensical? Options: - Sentence A: "Everyone eventually dies." - Sentence B: "No one ever dies." Sentence B Some idea for the solution: Millions of people around the world die every day. Question and Answer: Of the following two sentences, which one is against common sense? Options: - Sentence A: "she takes her swimsuit during rainy days" - Sentence B: "she takes her umbrella during rainy days" Sentence A Some idea for the solution: Swimsuit is a dress material which cannot be used in rainy days. Question and Answer: Which of the following sentences is nonsensical? Options: - Sentence A: "the car wheel got punctured" - Sentence B: "the car lamp got punctured" Sentence B Some idea for the solution:
Car lamps can be cracked or broken but not punctured.
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Q: Premise: "A man wearing a pink shirt is enjoying a drink." Hypothesis: "A man has something in his hand." Do we know that the hypothesis entailed by the premise? A: it is not possible to tell CoT: Enjoying a drink does not imply something being in a man's hand. **** Q: Premise: "A woman is using an ink well and pen to write on paper." Based on this premise, can we conclude that the hypothesis "A man is using a cheap ballpoint pen to write on a paper plate." is true? Options: - yes - it is not possible to tell - no A: no CoT: Ballpoint pen is not best to write on paper and ink pen not suits to write on paper plate. **** Q: If "A couple is getting ready to take wedding pictures." does that mean that "The couple is having their picture taken soon."? Options: - yes - it is not possible to tell - no A: yes CoT: Having their picture taken soon is a rephrase of getting ready to take pictures. **** Q: Given the sentence "Teenage boys are playing hockey on a neighborhood field." can we conclude that "The boys watch a hockey game."? Options: - yes - it is not possible to tell - no A: no CoT:
If boys are playing hockey they cannot also be watching hockey. ****
4
CoT
cot_esnli_ii
fs_opt
[ { "content": "Q: Premise: \"A man wearing a pink shirt is enjoying a drink.\"\nHypothesis: \"A man has something in his hand.\"\nDo we know that the hypothesis entailed by the premise?\nA: it is not possible to tell\nCoT: Enjoying a drink does not imply something being in a man's hand.\n****\nQ: Premise: \"A woman is using an ink well and pen to write on paper.\"\nBased on this premise, can we conclude that the hypothesis \"A man is using a cheap ballpoint pen to write on a paper plate.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\nA: no\nCoT: Ballpoint pen is not best to write on paper and ink pen not suits to write on paper plate.\n****\nQ: If \"A couple is getting ready to take wedding pictures.\" does that mean that \"The couple is having their picture taken soon.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\nA: yes\nCoT: Having their picture taken soon is a rephrase of getting ready to take pictures.\n****\nQ: Given the sentence \"Teenage boys are playing hockey on a neighborhood field.\" can we conclude that \"The boys watch a hockey game.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\nA: no\nCoT:", "role": "user" }, { "content": "If boys are playing hockey they cannot also be watching hockey.\n****", "role": "assistant" } ]
Q: Premise: "A man wearing a pink shirt is enjoying a drink." Hypothesis: "A man has something in his hand." Do we know that the hypothesis entailed by the premise? A: it is not possible to tell CoT: Enjoying a drink does not imply something being in a man's hand. **** Q: Premise: "A woman is using an ink well and pen to write on paper." Based on this premise, can we conclude that the hypothesis "A man is using a cheap ballpoint pen to write on a paper plate." is true? Options: - yes - it is not possible to tell - no A: no CoT: Ballpoint pen is not best to write on paper and ink pen not suits to write on paper plate. **** Q: If "A couple is getting ready to take wedding pictures." does that mean that "The couple is having their picture taken soon."? Options: - yes - it is not possible to tell - no A: yes CoT: Having their picture taken soon is a rephrase of getting ready to take pictures. **** Q: Given the sentence "Teenage boys are playing hockey on a neighborhood field." can we conclude that "The boys watch a hockey game."? Options: - yes - it is not possible to tell - no A: no CoT:
If boys are playing hockey they cannot also be watching hockey. ****
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Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Problem:Command: most_eq { all_rows ; category ; utilities }, interpretation: for the category records of all rows , most of them fuzzily match to utilities . Solution:
yes
8
NIv2
task211_logic2text_classification
zs_opt
[ { "content": "Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label \"yes\" if the interpretation is appropriate for the command, otherwise generate label \"no\". \n Here are the definitions of logical operators: \n 1. count: returns the number of rows in the view. \n 2. only: returns whether there is exactly one row in the view. \n 3. hop: returns the value under the header column of the row. \n 4. and: returns the boolean operation result of two arguments. \n 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. \n 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. \n 7. argmax/argmin: returns the row with the max/min value in header column. \n 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. \n 9. eq/not_eq: returns if the two arguments are equal. \n 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. \n 11. greater/less: returns if the first argument is greater/less than the second argument. \n 12. diff: returns the difference between two arguments. \n 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. \n 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. \n 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. \n 16. filter_all: returns the view itself for the case of describing the whole table \n 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. \n 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. \n 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. \n 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. \n 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. \n 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.\nProblem:Command: most_eq { all_rows ; category ; utilities }, interpretation: for the category records of all rows , most of them fuzzily match to utilities .\nSolution:", "role": "user" }, { "content": "yes", "role": "assistant" } ]
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Problem:Command: most_eq { all_rows ; category ; utilities }, interpretation: for the category records of all rows , most of them fuzzily match to utilities . Solution:
yes
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In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. One example: Head: PersonX goes ___ with some friends<sep>Tail: spends too much money Solution is here: Yes Explanation: This is a good example. As a result of the Head, PersonX will spend too much money. Now, solve this: Head: PersonX draws a picture<sep>Tail: none Solution:
Yes
6
NIv2
task1200_atomic_classification_xeffect
fs_opt
[ { "content": "In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\nOne example: Head: PersonX goes ___ with some friends<sep>Tail: spends too much money\nSolution is here: Yes\nExplanation: This is a good example. As a result of the Head, PersonX will spend too much money.\n\nNow, solve this: Head: PersonX draws a picture<sep>Tail: none\nSolution:", "role": "user" }, { "content": "Yes", "role": "assistant" } ]
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. One example: Head: PersonX goes ___ with some friends<sep>Tail: spends too much money Solution is here: Yes Explanation: This is a good example. As a result of the Head, PersonX will spend too much money. Now, solve this: Head: PersonX draws a picture<sep>Tail: none Solution:
Yes
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In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'. One example is below. Q: De belle van het bal is Hillary A: Hillary: B-PER, Clinton: I-PER Rationale: In the given sentence, Hillary is identified as the person name, which is correct. Q: De Tobin-heffing kon op heel wat minder sympathie rekenen bij de Belgische Vereniging van Banken . A:
None
9
NIv2
task1545_conll2002_person_name_extraction_answer_generation
fs_opt
[ { "content": "In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.\nOne example is below.\nQ: De belle van het bal is Hillary\nA: Hillary: B-PER, Clinton: I-PER\nRationale: In the given sentence, Hillary is identified as the person name, which is correct.\nQ: De Tobin-heffing kon op heel wat minder sympathie rekenen bij de Belgische Vereniging van Banken .\nA:", "role": "user" }, { "content": "None", "role": "assistant" } ]
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'. One example is below. Q: De belle van het bal is Hillary A: Hillary: B-PER, Clinton: I-PER Rationale: In the given sentence, Hillary is identified as the person name, which is correct. Q: De Tobin-heffing kon op heel wat minder sympathie rekenen bij de Belgische Vereniging van Banken . A:
None
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In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense. [Q]: take that bottle and write down your number (A) bottles are not design to write with them (B)he has a lot of bottles over his writing table (C)he writes a poem while drinking a wine bottle [A]: A [Q]: The french fries contain too much vitamin (A) French fries is lack of vitamin (B)French fries is not necessarily invented by Frenchman (C)French fries is made of potatoes [A]: A [Q]: I like to eat pillows (A) Pillows are not eatable (B)Pillows are soft and vegetables are green (C)Vegetables can't eat pillows [A]:
A
5
NIv2
task295_semeval_2020_task4_commonsense_reasoning
fs_opt
[ { "content": "In this task, you are given an impractical statement. You are also given three reasons (associated with \"A\", \"B\", \"C\") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.\n\n[Q]: take that bottle and write down your number\n(A) bottles are not design to write with them\n(B)he has a lot of bottles over his writing table\n(C)he writes a poem while drinking a wine bottle\n[A]: A\n\n\n[Q]: The french fries contain too much vitamin\n(A) French fries is lack of vitamin\n(B)French fries is not necessarily invented by Frenchman\n(C)French fries is made of potatoes\n[A]: A\n\n\n[Q]: I like to eat pillows\n(A) Pillows are not eatable\n(B)Pillows are soft and vegetables are green\n(C)Vegetables can't eat pillows\n[A]:", "role": "user" }, { "content": "A\n\n\n", "role": "assistant" } ]
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense. [Q]: take that bottle and write down your number (A) bottles are not design to write with them (B)he has a lot of bottles over his writing table (C)he writes a poem while drinking a wine bottle [A]: A [Q]: The french fries contain too much vitamin (A) French fries is lack of vitamin (B)French fries is not necessarily invented by Frenchman (C)French fries is made of potatoes [A]: A [Q]: I like to eat pillows (A) Pillows are not eatable (B)Pillows are soft and vegetables are green (C)Vegetables can't eat pillows [A]:
A
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In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively. F: Where were you yesterday Mike? ,M: I was at home asleep. ,F: Asleep? I thought that you had to take an exam. ,M: I was sick. I had a fever. I couldn't get out of bed. ,F: You still look a little sick. You couldn't go back to bed. ,M: I'm going now. I just came here to speak to my professor. ,F: Oh, what did he tell you? ,M: He said that I'd be able to take a make up. (A) F: Sure, you have permission from the professor to take the exam at home. Now you can just go home. (B) F: Mike, you missed the exam because of your meeting, but the professor allowes you to have it later. (C) F: It's good to have the professor's permission. When will you take the make up? (D) F: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that?
C
0
NIv2
task611_mutual_multi_turn_dialogue
zs_opt
[ { "content": "In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.\n\nF: Where were you yesterday Mike? ,M: I was at home asleep. ,F: Asleep? I thought that you had to take an exam. ,M: I was sick. I had a fever. I couldn't get out of bed. ,F: You still look a little sick. You couldn't go back to bed. ,M: I'm going now. I just came here to speak to my professor. ,F: Oh, what did he tell you? ,M: He said that I'd be able to take a make up.\n(A) F: Sure, you have permission from the professor to take the exam at home. Now you can just go home. (B) F: Mike, you missed the exam because of your meeting, but the professor allowes you to have it later. (C) F: It's good to have the professor's permission. When will you take the make up? (D) F: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that?", "role": "user" }, { "content": "C", "role": "assistant" } ]
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively. F: Where were you yesterday Mike? ,M: I was at home asleep. ,F: Asleep? I thought that you had to take an exam. ,M: I was sick. I had a fever. I couldn't get out of bed. ,F: You still look a little sick. You couldn't go back to bed. ,M: I'm going now. I just came here to speak to my professor. ,F: Oh, what did he tell you? ,M: He said that I'd be able to take a make up. (A) F: Sure, you have permission from the professor to take the exam at home. Now you can just go home. (B) F: Mike, you missed the exam because of your meeting, but the professor allowes you to have it later. (C) F: It's good to have the professor's permission. When will you take the make up? (D) F: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that?
C
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Given the sentence "Some cows cluster together." can we conclude that "The cows are trying to stay away from the young man."? Options: - yes - it is not possible to tell - no Now, let's be accurate as possible. Some thinking first:
Not all cows are trying to stay away from the young man. So, the answer is it is not possible to tell.
3
CoT
cot_esnli
zs_opt
[ { "content": "Given the sentence \"Some cows cluster together.\" can we conclude that \"The cows are trying to stay away from the young man.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no Now, let's be accurate as possible. Some thinking first:", "role": "user" }, { "content": "Not all cows are trying to stay away from the young man. So, the answer is it is not possible to tell.", "role": "assistant" } ]
Given the sentence "Some cows cluster together." can we conclude that "The cows are trying to stay away from the young man."? Options: - yes - it is not possible to tell - no Now, let's be accurate as possible. Some thinking first:
Not all cows are trying to stay away from the young man. So, the answer is it is not possible to tell.
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