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Definition: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Input: sentence_A: Two people are carrying colorful baskets and blankets and walking near a building. sentence_B: Two people are carrying gray baskets and blankets and walking near a building
Output: | B_neutral_A | 2 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
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"content": "Definition: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.\nInput: sentence_A: Two people are carrying colorful baskets and blankets and walking near a building. sentence_B: Two people are carrying gray baskets and blankets and walking near a building\nOutput:",
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] | Definition: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Input: sentence_A: Two people are carrying colorful baskets and blankets and walking near a building. sentence_B: Two people are carrying gray baskets and blankets and walking near a building
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The cafe has 16 chefs and 16 waiters. If 6 chefs and 3 waiters drop out, how many chefs and waiters are left? Give me reasons, before answering the question | There are 16 chefs - 6 chefs = 10 chefs left. There are 16 waiters - 3 waiters = 13 waiters left. In total there are 10 chefs + 13 waiters = 23 chefs and waiters left. So the final answer is 23. | 3 | CoT | cot_gsm8k | zs_opt | [
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"content": "There are 16 chefs - 6 chefs = 10 chefs left. There are 16 waiters - 3 waiters = 13 waiters left. In total there are 10 chefs + 13 waiters = 23 chefs and waiters left. So the final answer is 23.",
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[Q] Given the sentence "A man jumps high in the air above a wooden ramp with a bicycle." is it true that "There is a man sitting outdoors."?
[A] The man that jumps high cannot be the same one sitting.
The answer is no.
[Q] Premise: "A white dog is splashing through the water."
Hypothesis: "The store is closed."
Do we know that the hypothesis entailed by the premise?
[A] The dog cannot be splashing in the water if he is around the closed store.
The answer is no.
[Q] Given the sentence "A person in a white shirt with blue stripes is holding a large bucket shaped object on the head." can we conclude that "A person is trying to impress someone with their balancing skills."?
Options:
- yes
- it is not possible to tell
- no
| [A] Because a person carry something on the head doesn't mean he want to impress anyone.
The answer is it is not possible to tell. | 6 | CoT | cot_esnli | fs_opt | [
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"content": "[Q] Given the sentence \"A man jumps high in the air above a wooden ramp with a bicycle.\" is it true that \"There is a man sitting outdoors.\"?\n[A] The man that jumps high cannot be the same one sitting.\nThe answer is no.\n\n[Q] Premise: \"A white dog is splashing through the water.\"\nHypothesis: \"The store is closed.\"\nDo we know that the hypothesis entailed by the premise?\n[A] The dog cannot be splashing in the water if he is around the closed store.\nThe answer is no.\n\n[Q] Given the sentence \"A person in a white shirt with blue stripes is holding a large bucket shaped object on the head.\" can we conclude that \"A person is trying to impress someone with their balancing skills.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n",
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"content": "[A] Because a person carry something on the head doesn't mean he want to impress anyone.\nThe answer is it is not possible to tell.",
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[A] The man that jumps high cannot be the same one sitting.
The answer is no.
[Q] Premise: "A white dog is splashing through the water."
Hypothesis: "The store is closed."
Do we know that the hypothesis entailed by the premise?
[A] The dog cannot be splashing in the water if he is around the closed store.
The answer is no.
[Q] Given the sentence "A person in a white shirt with blue stripes is holding a large bucket shaped object on the head." can we conclude that "A person is trying to impress someone with their balancing skills."?
Options:
- yes
- it is not possible to tell
- no
| [A] Because a person carry something on the head doesn't mean he want to impress anyone.
The answer is it is not possible to tell. | [
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Given the task definition and input, reply with output. 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.
Have you met your new neighbors?
| Y has just told X that he/she is thinking of buying a flat in New York. | 5 | NIv2 | task567_circa_text_generation | zs_opt | [
{
"content": "Given the task definition and input, reply with output. 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.\n\nHave you met your new neighbors?\n",
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Have you met your new neighbors?
| Y has just told X that he/she is thinking of buying a flat in New York. | [
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Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
story: My microwave usually works well. I can put anything in it and it will turn out fine. However, for some reason it didn't work well at all on a Sunday night. I tried microwaving a popcorn bag and the microwave failed me. The popcorn was burnt.
selected sentence: My microwave usually works well.
| My microwave usually work well >Causes> I feel(s) satisfied with my microwave | 5 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
{
"content": "Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form \" A >Causes> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).\n\nstory: My microwave usually works well. I can put anything in it and it will turn out fine. However, for some reason it didn't work well at all on a Sunday night. I tried microwaving a popcorn bag and the microwave failed me. The popcorn was burnt.\n selected sentence: My microwave usually works well.\n",
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"content": "My microwave usually work well >Causes> I feel(s) satisfied with my microwave",
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] | Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
story: My microwave usually works well. I can put anything in it and it will turn out fine. However, for some reason it didn't work well at all on a Sunday night. I tried microwaving a popcorn bag and the microwave failed me. The popcorn was burnt.
selected sentence: My microwave usually works well.
| My microwave usually work well >Causes> I feel(s) satisfied with my microwave | [
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- no | League of Legends is a Multiplayer video game with online interaction. The final answer: no. | 2 | CoT | cot_creak | zs_opt | [
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instruction:
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
question:
Bob bounced the woman wearing the hat the shoe
answer:
Bob bounced the shoe to the woman wearing the hat
question:
Mary furnished a team the news
answer:
Mary furnished the news to a team
question:
Maria read a man the book
answer:
| Maria read the book to a man
| 9 | NIv2 | task132_dais_text_modification | fs_opt | [
{
"content": "instruction:\nLanguages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.\nquestion:\nBob bounced the woman wearing the hat the shoe\nanswer:\nBob bounced the shoe to the woman wearing the hat\n\n\nquestion:\nMary furnished a team the news\nanswer:\nMary furnished the news to a team\n\n\nquestion:\nMaria read a man the book\nanswer:\n",
"role": "user"
},
{
"content": "Maria read the book to a man\n\n\n",
"role": "assistant"
}
] | instruction:
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
question:
Bob bounced the woman wearing the hat the shoe
answer:
Bob bounced the shoe to the woman wearing the hat
question:
Mary furnished a team the news
answer:
Mary furnished the news to a team
question:
Maria read a man the book
answer:
| Maria read the book to a man
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In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
[3, 10, 2, 1, 4, 9, 7, 1] , [8, 1, 8, 1, 4, 1, 10, 3] | [1, 3, 4, 10] | 0 | NIv2 | task098_conala_list_intersection | zs_opt | [
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You will be given a definition of a task first, then some input of the task.
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Where was the london conference held ?
What percentage of europe sre christian ?
What is inside acrylic ?
What is the national animal in ireland ?
Output: | What percentage of europe sre christian ? | 1 | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nYou are given a set of queries separated by '\n', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.\n\nWhere was the london conference held ?\nWhat percentage of europe sre christian ?\nWhat is inside acrylic ?\nWhat is the national animal in ireland ?\nOutput:",
"role": "user"
},
{
"content": "What percentage of europe sre christian ?",
"role": "assistant"
}
] | You will be given a definition of a task first, then some input of the task.
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Where was the london conference held ?
What percentage of europe sre christian ?
What is inside acrylic ?
What is the national animal in ireland ?
Output: | What percentage of europe sre christian ? | [
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In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.
Solution is here: b
Explanation: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this: Title: Nautical Shirt. Sentence 1: Our 2 year old granddaughter Shia is fussy. Sentence 2: She will not wear certain outfits. Sentence 3: Today her mom put a nautical shirt on her. Sentence 4: Shia refused to wear it. Choices: a. He still sleeps with it to this day. b. She opted for a Winnie the Pooh shirt.
Solution: | a | 6 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
{
"content": "In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.\nOne example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.\nSolution is here: b\nExplanation: Marcus is buying clothes for a business event and not presenting an idea.\n\nNow, solve this: Title: Nautical Shirt. Sentence 1: Our 2 year old granddaughter Shia is fussy. Sentence 2: She will not wear certain outfits. Sentence 3: Today her mom put a nautical shirt on her. Sentence 4: Shia refused to wear it. Choices: a. He still sleeps with it to this day. b. She opted for a Winnie the Pooh shirt.\nSolution:",
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"content": "a",
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] | In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.
Solution is here: b
Explanation: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this: Title: Nautical Shirt. Sentence 1: Our 2 year old granddaughter Shia is fussy. Sentence 2: She will not wear certain outfits. Sentence 3: Today her mom put a nautical shirt on her. Sentence 4: Shia refused to wear it. Choices: a. He still sleeps with it to this day. b. She opted for a Winnie the Pooh shirt.
Solution: | a | [
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Detailed Instructions: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:បីថ្ងៃក្រោយមកលិខិតលាលែងពីតំណែងត្រូវបានយល់ព្រមដោយព្រះមហាក្សត្រ។
Solution: | 三日後、辞表は国王によって受理された。 | 8 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
{
"content": "Detailed Instructions: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.\nProblem:បីថ្ងៃក្រោយមកលិខិតលាលែងពីតំណែងត្រូវបានយល់ព្រមដោយព្រះមហាក្សត្រ។\nSolution:",
"role": "user"
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{
"content": "三日後、辞表は国王によって受理された。",
"role": "assistant"
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] | Detailed Instructions: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:បីថ្ងៃក្រោយមកលិខិតលាលែងពីតំណែងត្រូវបានយល់ព្រមដោយព្រះមហាក្សត្រ។
Solution: | 三日後、辞表は国王によって受理された。 | [
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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 sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Sentence 1:PrP has been detected in the blood of sick animals by means of PMCA technology . Sentence 2:However , repeated cycling over several days , which is necessary for PMCA of blood material , has been reported to result in decreased specificity ( false positives ) .
Output: | however | 1 | NIv2 | task563_discofuse_answer_generation | 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 sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.\n\nSentence 1:PrP has been detected in the blood of sick animals by means of PMCA technology . Sentence 2:However , repeated cycling over several days , which is necessary for PMCA of blood material , has been reported to result in decreased specificity ( false positives ) .\nOutput:",
"role": "user"
},
{
"content": "however",
"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 sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Sentence 1:PrP has been detected in the blood of sick animals by means of PMCA technology . Sentence 2:However , repeated cycling over several days , which is necessary for PMCA of blood material , has been reported to result in decreased specificity ( false positives ) .
Output: | however | [
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In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Input: Consider Input: What is the most interesting fact you have come across and want others to know?
Output: What are some of the best "did you know" facts?
Input: Consider Input: Why nowadays big hot shots like dell and hpe have sold or already are planning to sell thier software business?
Output: Why has comedy gone to a point of either sex or picking on someone? Why aren't there comedians like Charlie Chaplin and Laurel and Hardy nowadays, who used to kill people (with laughter) without going sexual or hurting anybody?
Input: Consider Input: What's the course of mechanical engineering in the 1st semester?
| Output: How we should get good marks in mechanical engineering in 1st semester?
| 2 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
{
"content": "In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.\n\nInput: Consider Input: What is the most interesting fact you have come across and want others to know?\n\nOutput: What are some of the best \"did you know\" facts?\n\n\nInput: Consider Input: Why nowadays big hot shots like dell and hpe have sold or already are planning to sell thier software business?\n\nOutput: Why has comedy gone to a point of either sex or picking on someone? Why aren't there comedians like Charlie Chaplin and Laurel and Hardy nowadays, who used to kill people (with laughter) without going sexual or hurting anybody?\n\n\nInput: Consider Input: What's the course of mechanical engineering in the 1st semester?\n\n",
"role": "user"
},
{
"content": "Output: How we should get good marks in mechanical engineering in 1st semester?\n\n\n",
"role": "assistant"
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] | In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Input: Consider Input: What is the most interesting fact you have come across and want others to know?
Output: What are some of the best "did you know" facts?
Input: Consider Input: Why nowadays big hot shots like dell and hpe have sold or already are planning to sell thier software business?
Output: Why has comedy gone to a point of either sex or picking on someone? Why aren't there comedians like Charlie Chaplin and Laurel and Hardy nowadays, who used to kill people (with laughter) without going sexual or hurting anybody?
Input: Consider Input: What's the course of mechanical engineering in the 1st semester?
| Output: How we should get good marks in mechanical engineering in 1st semester?
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Given the task definition, example input & output, solve the new input case.
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island will be a grammatically correct instance of a sentence using an adjunct island. An incorrect representation will be everything else.
Example: Who should the boss fire after seeing HR?
Output: good
The sentence forms an adjunct island.
New input case for you: Who is Amy criticizing George before aggravating?
Output: | bad | 1 | NIv2 | task1559_blimp_binary_classification | fs_opt | [
{
"content": "Given the task definition, example input & output, solve the new input case.\nIn this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island will be a grammatically correct instance of a sentence using an adjunct island. An incorrect representation will be everything else.\nExample: Who should the boss fire after seeing HR?\nOutput: good\nThe sentence forms an adjunct island.\n\nNew input case for you: Who is Amy criticizing George before aggravating?\nOutput:",
"role": "user"
},
{
"content": "bad",
"role": "assistant"
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] | Given the task definition, example input & output, solve the new input case.
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island will be a grammatically correct instance of a sentence using an adjunct island. An incorrect representation will be everything else.
Example: Who should the boss fire after seeing HR?
Output: good
The sentence forms an adjunct island.
New input case for you: Who is Amy criticizing George before aggravating?
Output: | bad | [
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Answer the following question, with explanation first. Of the following two sentences, which one is against common sense?
Options:
- Sentence A: "sleeping at night is for not being tired"
- Sentence B: "sleeping at night is for not being hungry"
| Being hungry is not related to the sleeping at night.
So, the answer is Sentence B. | 8 | CoT | cot_sensemaking | zs_opt | [
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Options:
- Sentence A: "sleeping at night is for not being tired"
- Sentence B: "sleeping at night is for not being hungry"
| Being hungry is not related to the sleeping at night.
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Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Input: Review: I love this book light! I ordered this for my son, who is 9; we read books each evening before bedtime. My daughter, who is 6, also loved it, so I ordered one for her as well (only in white). All 3 of us love the touch feature and that there are three different lighting options. The best feature ~ USB Rechargeable!!!!
Rating: 1
Output: | False | 3 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
{
"content": "Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with \"True\" if the sentence belongs to that section, otherwise answer with \"False\"\nInput: Review: I love this book light! I ordered this for my son, who is 9; we read books each evening before bedtime. My daughter, who is 6, also loved it, so I ordered one for her as well (only in white). All 3 of us love the touch feature and that there are three different lighting options. The best feature ~ USB Rechargeable!!!! \n Rating: 1\nOutput:",
"role": "user"
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{
"content": "False",
"role": "assistant"
}
] | Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Input: Review: I love this book light! I ordered this for my son, who is 9; we read books each evening before bedtime. My daughter, who is 6, also loved it, so I ordered one for her as well (only in white). All 3 of us love the touch feature and that there are three different lighting options. The best feature ~ USB Rechargeable!!!!
Rating: 1
Output: | False | [
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[Pick which sentence is not logical.
Options:
- Sentence A: "Tuning forks are used for playing."
- Sentence B: "Tuning forks are used for eating."
]
My step-by-step solution first: Tuning forks are used to make sure an instrument is in tune.... The answer is [Sentence B]
[Which of the following two sentences does not make sense?
Options:
- Sentence A: "The adventurer found its way by watching the stars in the night sky"
- Sentence B: "The adventurer found its way by watching the sun in the night sky"
]
My step-by-step solution first: The sun only appears in day not night.... The answer is [Sentence B]
[Choose the sentence that goes against common sense.
Options:
- Sentence A: "Home auto cleans itself."
- Sentence B: "You clean home everyday."
]
My step-by-step solution first: Home is thing so it cannot do anything itself.... The answer is [Sentence A]
[Choose the sentence that goes against common sense.
Options:
- Sentence A: "I go to the library to sing."
- Sentence B: "I go to the library to read books."
]
| My step-by-step solution first: The library is not the place to sing and can't make any noise.... The answer is [Sentence A] | 7 | CoT | cot_sensemaking | fs_opt | [
{
"content": "[Pick which sentence is not logical.\nOptions:\n- Sentence A: \"Tuning forks are used for playing.\"\n- Sentence B: \"Tuning forks are used for eating.\"\n]\nMy step-by-step solution first: Tuning forks are used to make sure an instrument is in tune.... The answer is [Sentence B]\n[Which of the following two sentences does not make sense?\nOptions:\n- Sentence A: \"The adventurer found its way by watching the stars in the night sky\"\n- Sentence B: \"The adventurer found its way by watching the sun in the night sky\"\n]\nMy step-by-step solution first: The sun only appears in day not night.... The answer is [Sentence B]\n[Choose the sentence that goes against common sense.\nOptions:\n- Sentence A: \"Home auto cleans itself.\"\n- Sentence B: \"You clean home everyday.\"\n]\nMy step-by-step solution first: Home is thing so it cannot do anything itself.... The answer is [Sentence A]\n[Choose the sentence that goes against common sense.\nOptions:\n- Sentence A: \"I go to the library to sing.\"\n- Sentence B: \"I go to the library to read books.\"\n]\n",
"role": "user"
},
{
"content": "My step-by-step solution first: The library is not the place to sing and can't make any noise.... The answer is [Sentence A]",
"role": "assistant"
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] | [Pick which sentence is not logical.
Options:
- Sentence A: "Tuning forks are used for playing."
- Sentence B: "Tuning forks are used for eating."
]
My step-by-step solution first: Tuning forks are used to make sure an instrument is in tune.... The answer is [Sentence B]
[Which of the following two sentences does not make sense?
Options:
- Sentence A: "The adventurer found its way by watching the stars in the night sky"
- Sentence B: "The adventurer found its way by watching the sun in the night sky"
]
My step-by-step solution first: The sun only appears in day not night.... The answer is [Sentence B]
[Choose the sentence that goes against common sense.
Options:
- Sentence A: "Home auto cleans itself."
- Sentence B: "You clean home everyday."
]
My step-by-step solution first: Home is thing so it cannot do anything itself.... The answer is [Sentence A]
[Choose the sentence that goes against common sense.
Options:
- Sentence A: "I go to the library to sing."
- Sentence B: "I go to the library to read books."
]
| My step-by-step solution first: The library is not the place to sing and can't make any noise.... The answer is [Sentence A] | [
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Given the rationale, provide a reasonable question and answer. Step-by-step reasoning process: A baker has a total of 10 + 15 = 25 cheesecakes both from the display and the fridge. Therefore, there are 25 - 7 = 18 more cheesecakes to be sold.
The question and answer: | A baker has 10 cheesecakes on the display while 15 more are still in the fridge. If the baker has sold 7 cheesecakes from the display, how many more cheesecakes are left to be sold?
The answer is 18 | 5 | CoT | cot_gsm8k_ii | zs_opt | [
{
"content": "Given the rationale, provide a reasonable question and answer. Step-by-step reasoning process: A baker has a total of 10 + 15 = 25 cheesecakes both from the display and the fridge. Therefore, there are 25 - 7 = 18 more cheesecakes to be sold.\n The question and answer:",
"role": "user"
},
{
"content": "A baker has 10 cheesecakes on the display while 15 more are still in the fridge. If the baker has sold 7 cheesecakes from the display, how many more cheesecakes are left to be sold?\nThe answer is 18",
"role": "assistant"
}
] | Given the rationale, provide a reasonable question and answer. Step-by-step reasoning process: A baker has a total of 10 + 15 = 25 cheesecakes both from the display and the fridge. Therefore, there are 25 - 7 = 18 more cheesecakes to be sold.
The question and answer: | A baker has 10 cheesecakes on the display while 15 more are still in the fridge. If the baker has sold 7 cheesecakes from the display, how many more cheesecakes are left to be sold?
The answer is 18 | [
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Definition: In this task, you are to Translate German text to English
Input: Dieser Toleranzwert beträgt insbesondere± 25 % der geforderten Halbwertsbreite.
Output: | The tolerance limit is notably ± 25 % of the required half width. | 2 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
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"content": "Definition: In this task, you are to Translate German text to English\nInput: Dieser Toleranzwert beträgt insbesondere± 25 % der geforderten Halbwertsbreite.\nOutput:",
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Input: Dieser Toleranzwert beträgt insbesondere± 25 % der geforderten Halbwertsbreite.
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U.S. presidential elections take place in the U.S.
Is the following a factual statement?
"The 1912 United States presidential election took place in the United States."
Options:
- yes
- no
yes
The figures mentioned are used for Christmas celebrations. In fact, Easter has been westernized with candy and rabbits.
"Westerners commercialize Easter with the likenesses of Santa Claus and elves, in order to appeal to the masses outside of the religion."
Is the above claim true?
Options:
- yes
- no
no
Turkey is a country in Europe, not Asia.
Is the following statement true?
"The Great Turkish War took place in Asia."
no
Lewis Carroll was a writer and he has been dead for a long time.
| "Lewis Carroll still performs on stage occasionally."
Is the above claim true?
Options:
- yes
- no
no | 2 | CoT | cot_creak_ii | fs_opt | [
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"content": "U.S. presidential elections take place in the U.S.\nIs the following a factual statement?\n\"The 1912 United States presidential election took place in the United States.\"\nOptions:\n- yes\n- no\nyes\n\nThe figures mentioned are used for Christmas celebrations. In fact, Easter has been westernized with candy and rabbits.\n\"Westerners commercialize Easter with the likenesses of Santa Claus and elves, in order to appeal to the masses outside of the religion.\"\nIs the above claim true?\nOptions:\n- yes\n- no\nno\n\nTurkey is a country in Europe, not Asia.\nIs the following statement true?\n\"The Great Turkish War took place in Asia.\"\nno\n\nLewis Carroll was a writer and he has been dead for a long time.\n",
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"The 1912 United States presidential election took place in the United States."
Options:
- yes
- no
yes
The figures mentioned are used for Christmas celebrations. In fact, Easter has been westernized with candy and rabbits.
"Westerners commercialize Easter with the likenesses of Santa Claus and elves, in order to appeal to the masses outside of the religion."
Is the above claim true?
Options:
- yes
- no
no
Turkey is a country in Europe, not Asia.
Is the following statement true?
"The Great Turkish War took place in Asia."
no
Lewis Carroll was a writer and he has been dead for a long time.
| "Lewis Carroll still performs on stage occasionally."
Is the above claim true?
Options:
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- no
no | [
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Please answer and provide answer explanation. | Chatting with friends can be fun. Playing games can be fun. Fun means enjoyment. The final answer: fun. | 0 | CoT | cot_ecqa | zs_opt | [
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In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
--------
Question: Sentence 1: To honor its creators, it was to be called 'Przyrolarouish'. Sentence 2: THe name paid tribute to their children.
Answer: yes
Question: Sentence 1: hum yep the more cars the merrier the paperwork Sentence 2: Paperwork is very minimal while owning multiple cars.
Answer: yes
Question: Sentence 1: yeah so you know trying to budget is again you know at this point we're trying to budget enough so we can Sentence 2: We are trying to splurge as much as we can right now.
Answer: | yes
| 7 | NIv2 | task199_mnli_classification | fs_opt | [
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"content": "In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.\n--------\nQuestion: Sentence 1: To honor its creators, it was to be called 'Przyrolarouish'. Sentence 2: THe name paid tribute to their children.\n\nAnswer: yes\n\n\nQuestion: Sentence 1: hum yep the more cars the merrier the paperwork Sentence 2: Paperwork is very minimal while owning multiple cars.\n\nAnswer: yes\n\n\nQuestion: Sentence 1: yeah so you know trying to budget is again you know at this point we're trying to budget enough so we can Sentence 2: We are trying to splurge as much as we can right now.\n\nAnswer:",
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--------
Question: Sentence 1: To honor its creators, it was to be called 'Przyrolarouish'. Sentence 2: THe name paid tribute to their children.
Answer: yes
Question: Sentence 1: hum yep the more cars the merrier the paperwork Sentence 2: Paperwork is very minimal while owning multiple cars.
Answer: yes
Question: Sentence 1: yeah so you know trying to budget is again you know at this point we're trying to budget enough so we can Sentence 2: We are trying to splurge as much as we can right now.
Answer: | yes
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Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Q: story: Bob was watching a cooking show where they were making steak. Bob got hungry. Bob went went to the store to get steak and mushrooms. When Bob got home Bob cooked the steak and mushrooms with butter. After Bob had eaten his delicious Bob felt satiated.
selected sentence: When Bob got home Bob cooked the steak and mushrooms with butter.
A: | Bob feel(s) hungry >Motivates> Bob cooks the steak | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
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"content": "Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form \" A >Motivates> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.\nQ: story: Bob was watching a cooking show where they were making steak. Bob got hungry. Bob went went to the store to get steak and mushrooms. When Bob got home Bob cooked the steak and mushrooms with butter. After Bob had eaten his delicious Bob felt satiated.\n selected sentence: When Bob got home Bob cooked the steak and mushrooms with butter.\nA:",
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] | Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Q: story: Bob was watching a cooking show where they were making steak. Bob got hungry. Bob went went to the store to get steak and mushrooms. When Bob got home Bob cooked the steak and mushrooms with butter. After Bob had eaten his delicious Bob felt satiated.
selected sentence: When Bob got home Bob cooked the steak and mushrooms with butter.
A: | Bob feel(s) hungry >Motivates> Bob cooks the steak | [
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Explain simply why Sentence B is the correct answer to: Of the below sentences, which one does *not* make sense?
Options:
- Sentence A: "Scissors is an instrument used for cutting cloth, paper, and other material"
- Sentence B: "Scissors is an instrument used for washing cloth, paper, and other material"
. Explanation: | Nothing can be washed with scissors as it cannot clean anything. | 12 | CoT | cot_sensemaking_ii | zs_opt | [
{
"content": "Explain simply why Sentence B is the correct answer to: Of the below sentences, which one does *not* make sense?\nOptions:\n- Sentence A: \"Scissors is an instrument used for cutting cloth, paper, and other material\"\n- Sentence B: \"Scissors is an instrument used for washing cloth, paper, and other material\"\n. Explanation:",
"role": "user"
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"content": "Nothing can be washed with scissors as it cannot clean anything.",
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] | Explain simply why Sentence B is the correct answer to: Of the below sentences, which one does *not* make sense?
Options:
- Sentence A: "Scissors is an instrument used for cutting cloth, paper, and other material"
- Sentence B: "Scissors is an instrument used for washing cloth, paper, and other material"
. Explanation: | Nothing can be washed with scissors as it cannot clean anything. | [
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Detailed Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Q: I bought this because it was really fun to watch. At least until some of the ficus leaves fell off. It was no longer fun to watch a lopsided no spin. For the money that this cost, I thought it would last a little longer than a couple of months. Not very happy about this, and the return time has expired.
A: | This wind spinner is beautiful to watch, until the Ficus Leaves fall off. | 9 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
{
"content": "Detailed Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.\nQ: I bought this because it was really fun to watch. At least until some of the ficus leaves fell off. It was no longer fun to watch a lopsided no spin. For the money that this cost, I thought it would last a little longer than a couple of months. Not very happy about this, and the return time has expired.\nA:",
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{
"content": "This wind spinner is beautiful to watch, until the Ficus Leaves fall off.",
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] | Detailed Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Q: I bought this because it was really fun to watch. At least until some of the ficus leaves fell off. It was no longer fun to watch a lopsided no spin. For the money that this cost, I thought it would last a little longer than a couple of months. Not very happy about this, and the return time has expired.
A: | This wind spinner is beautiful to watch, until the Ficus Leaves fall off. | [
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In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
One example: Placa motora es la unión entre la neurona motora y el
Solution is here: Motor plate is the union between the motor neuron and the
Explanation: Language translation is correct. The given input in English is a segmentally neutral sentence, therefore the polarity of the output must be neutral. Looking at the output it’s clear that the sentence polarity is neutral.
Now, solve this: Mantiene separadas las hebras del dúplex de DNA durante la replicación
Solution: | It keeps the strands of the DNA duplex separated during replication | 6 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
{
"content": "In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.\nOne example: Placa motora es la unión entre la neurona motora y el\nSolution is here: Motor plate is the union between the motor neuron and the\nExplanation: Language translation is correct. The given input in English is a segmentally neutral sentence, therefore the polarity of the output must be neutral. Looking at the output it’s clear that the sentence polarity is neutral.\n\nNow, solve this: Mantiene separadas las hebras del dúplex de DNA durante la replicación\nSolution:",
"role": "user"
},
{
"content": "It keeps the strands of the DNA duplex separated during replication",
"role": "assistant"
}
] | In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
One example: Placa motora es la unión entre la neurona motora y el
Solution is here: Motor plate is the union between the motor neuron and the
Explanation: Language translation is correct. The given input in English is a segmentally neutral sentence, therefore the polarity of the output must be neutral. Looking at the output it’s clear that the sentence polarity is neutral.
Now, solve this: Mantiene separadas las hebras del dúplex de DNA durante la replicación
Solution: | It keeps the strands of the DNA duplex separated during replication | [
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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 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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. 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: person<sep>Tail: complaints to addressed
Solution: Yes
Why? This is a good example. The Head desires the Tail.
New input: Head: person<sep>Tail: acceptance in society
Solution: | Yes | 0 | NIv2 | task1213_atomic_classification_desires | 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 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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. 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: person<sep>Tail: complaints to addressed\nSolution: Yes\nWhy? This is a good example. The Head desires the Tail.\n\nNew input: Head: person<sep>Tail: acceptance in society\nSolution:",
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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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. 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: person<sep>Tail: complaints to addressed
Solution: Yes
Why? This is a good example. The Head desires the Tail.
New input: Head: person<sep>Tail: acceptance in society
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Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.
মহা ভারত যা কিনা আনেক বড় একটা জোড় ছিল তা ব্রিটিশরা আলাদা করে দিয়ে গেছে।
A: | non-political | 7 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
{
"content": "Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.\nমহা ভারত যা কিনা আনেক বড় একটা জোড় ছিল তা ব্রিটিশরা আলাদা করে দিয়ে গেছে।\nA:",
"role": "user"
},
{
"content": "non-political",
"role": "assistant"
}
] | Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.
মহা ভারত যা কিনা আনেক বড় একটা জোড় ছিল তা ব্রিটিশরা আলাদা করে দিয়ে গেছে।
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Teacher: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
Solution: Marcus was happy to have the right clothes for the event.
Reason: Marcus is buying clothes for a business event.
Now, solve this instance: Title: Church Day. Sentence 1: Tom went to church with his family. Sentence 2: They passed around a collection plate. Sentence 3: Tom didn't want to give any money. Sentence 4: Others around him made him feel bad about it.
Student: | Tom didn't go back to church. | 2 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
{
"content": "Teacher: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nTitle: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.\nSolution: Marcus was happy to have the right clothes for the event.\nReason: Marcus is buying clothes for a business event.\n\nNow, solve this instance: Title: Church Day. Sentence 1: Tom went to church with his family. Sentence 2: They passed around a collection plate. Sentence 3: Tom didn't want to give any money. Sentence 4: Others around him made him feel bad about it.\nStudent:",
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"content": "Tom didn't go back to church.",
"role": "assistant"
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] | Teacher: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
Solution: Marcus was happy to have the right clothes for the event.
Reason: Marcus is buying clothes for a business event.
Now, solve this instance: Title: Church Day. Sentence 1: Tom went to church with his family. Sentence 2: They passed around a collection plate. Sentence 3: Tom didn't want to give any money. Sentence 4: Others around him made him feel bad about it.
Student: | Tom didn't go back to church. | [
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Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: ولكن اعمل الأشياء التي تحبها
Student: | Ma quel che conta è fare il lavoro con amore | 6 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
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Teacher: Now, understand the problem? Solve this instance: ولكن اعمل الأشياء التي تحبها
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Choose the sentence that goes against common sense.
Options:
- Sentence A: "Tom put the battery in his cell phone."
- Sentence B: "Tom put the battery in his microwave oven."
Let's be accurate as possible. So think first. | Batteries do not go in microwave could cause a fire.
The final answer: Sentence B. | 4 | CoT | cot_sensemaking | zs_opt | [
{
"content": "Choose the sentence that goes against common sense.\nOptions:\n- Sentence A: \"Tom put the battery in his cell phone.\"\n- Sentence B: \"Tom put the battery in his microwave oven.\"\n Let's be accurate as possible. So think first.",
"role": "user"
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{
"content": "Batteries do not go in microwave could cause a fire.\nThe final answer: Sentence B.",
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] | Choose the sentence that goes against common sense.
Options:
- Sentence A: "Tom put the battery in his cell phone."
- Sentence B: "Tom put the battery in his microwave oven."
Let's be accurate as possible. So think first. | Batteries do not go in microwave could cause a fire.
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Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
See one example below:
Problem: Bob took the woman from work a cake
Solution: Bob took a cake to the woman from work
Explanation: Input and output sentences have same meaning but different grammatical construction.
Problem: Linda carried him something
Solution: | Linda carried something to him | 4 | NIv2 | task132_dais_text_modification | fs_opt | [
{
"content": "Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.\nSee one example below:\nProblem: Bob took the woman from work a cake\nSolution: Bob took a cake to the woman from work\nExplanation: Input and output sentences have same meaning but different grammatical construction.\n\nProblem: Linda carried him something\nSolution:",
"role": "user"
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{
"content": "Linda carried something to him",
"role": "assistant"
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] | Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
See one example below:
Problem: Bob took the woman from work a cake
Solution: Bob took a cake to the woman from work
Explanation: Input and output sentences have same meaning but different grammatical construction.
Problem: Linda carried him something
Solution: | Linda carried something to him | [
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In February, Transdniestrian authorities attempted to eject Moldovan police from the building they share in Bendery with Transdniestrian militia.
Translate to French. | En février, les autorités transnistriennes ont tenté d’expulser la police moldave du bâtiment qu’elle partage avec la milice transnistrienne à Bendery. | 0 | Flan2021 | wmt14_translate/fr-en:1.0.0 | zs_opt | [
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"content": "En février, les autorités transnistriennes ont tenté d’expulser la police moldave du bâtiment qu’elle partage avec la milice transnistrienne à Bendery.",
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] | In February, Transdniestrian authorities attempted to eject Moldovan police from the building they share in Bendery with Transdniestrian militia.
Translate to French. | En février, les autorités transnistriennes ont tenté d’expulser la police moldave du bâtiment qu’elle partage avec la milice transnistrienne à Bendery. | [
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Explain simply why yes is the correct answer to: Can we conclude from "Seven people playing soccer on a field." that "The seven people are outdoors."?
Options:
- yes
- no
- it is not possible to tell. Explanation: | The seven people playing soccer on a field are outside because soccer fields are outside. | 12 | CoT | cot_esnli_ii | zs_opt | [
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Options:
- yes
- no
- it is not possible to tell. Explanation: | The seven people playing soccer on a field are outside because soccer fields are outside. | [
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Detailed Instructions: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Q: Sentence1: When they ate lunch, the girls became friends. Sentence2: When she walked into the school she went looking for her. Sentence3: When she met her, she invited her to sit with her at lunch. Sentence4: Kelly found out there was a new girl at school. Sentence5: Kelly was happy to have made a new friend.
A: | 42315 | 9 | NIv2 | task300_storycloze_order_generation | zs_opt | [
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] | Detailed Instructions: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Q: Sentence1: When they ate lunch, the girls became friends. Sentence2: When she walked into the school she went looking for her. Sentence3: When she met her, she invited her to sit with her at lunch. Sentence4: Kelly found out there was a new girl at school. Sentence5: Kelly was happy to have made a new friend.
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The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Q: stop being lazy and write some real jokes instead of just saying paging doctor faggot lol he said a slur therefore its funny
A: | Normal | 4 | NIv2 | task1502_hatexplain_classification | zs_opt | [
{
"content": "The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.\nQ: stop being lazy and write some real jokes instead of just saying paging doctor faggot lol he said a slur therefore its funny\nA: ",
"role": "user"
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{
"content": "Normal",
"role": "assistant"
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] | The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Q: stop being lazy and write some real jokes instead of just saying paging doctor faggot lol he said a slur therefore its funny
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Part 1. Definition
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 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.
Part 2. 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.
Answer: Tom had gone into the store before he was seen by Jon.
Explanation: Tom must have gone into the store to come out of it.
Part 3. Exercise
Sentence 1: Four people are sitting behind a table full of food. Sentence 2: People are eating dinner.
Answer: | There are people at a table. | 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
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"content": "Part 1. Definition\nIn 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 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.\nPart 2. 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.\nAnswer: Tom had gone into the store before he was seen by Jon.\nExplanation: Tom must have gone into the store to come out of it.\nPart 3. Exercise\nSentence 1: Four people are sitting behind a table full of food. Sentence 2: People are eating dinner.\nAnswer:",
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] | Part 1. Definition
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 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.
Part 2. 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.
Answer: Tom had gone into the store before he was seen by Jon.
Explanation: Tom must have gone into the store to come out of it.
Part 3. Exercise
Sentence 1: Four people are sitting behind a table full of food. Sentence 2: People are eating dinner.
Answer: | There are people at a table. | [
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Explanation and answer: Humans drown in water; breathing water kills them.
no
The corresponding question: Is the following statement true?
"Breathing under water is good for human health."
Delta Air Lines is based in Atlanta and is IATA member.
yes
Yes / no, is the following a verifiable fact?
"Delta Air Lines a company based out of Atlanta Georgia is an IATA member."
Explanation and answer: The watercolor painting is an expression of art.
yes
The corresponding question: Yes / no, is the following a verifiable fact?
"The appearance of broad strokes in apparent in the Watercolor painting."
Studio Ghibli is a animation studio out of Japan.
no
"Studio Ghibli engages in e-commerce from both Japan and China, and do the majority of sales online."
Is the above claim true?
Options:
- yes
- no
Explanation and answer: Fermentation is a process whereby yeast converts glucose in the wort to ethyl alcohol and carbon dioxide gas (CO2) to give beer its alcohol content and carbonation.
yes
The corresponding question: Does the following sentence make sense?
"The process of Fermentation can result in beer."
Options:
- yes
- no
Explanation and answer: Eminem's music is held to be highly influential on hip-hop in the 2000's.
yes
The corresponding question: | Claim: "Eminem's wrote revolutionary music that inspired a generation of hip-hop artists."
Is the claim above correct, and can it be verified by human common sense and without a web search?
Options:
- yes
- no | 1 | CoT | cot_creak_ii | fs_opt | [
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] | Explanation and answer: Humans drown in water; breathing water kills them.
no
The corresponding question: Is the following statement true?
"Breathing under water is good for human health."
Delta Air Lines is based in Atlanta and is IATA member.
yes
Yes / no, is the following a verifiable fact?
"Delta Air Lines a company based out of Atlanta Georgia is an IATA member."
Explanation and answer: The watercolor painting is an expression of art.
yes
The corresponding question: Yes / no, is the following a verifiable fact?
"The appearance of broad strokes in apparent in the Watercolor painting."
Studio Ghibli is a animation studio out of Japan.
no
"Studio Ghibli engages in e-commerce from both Japan and China, and do the majority of sales online."
Is the above claim true?
Options:
- yes
- no
Explanation and answer: Fermentation is a process whereby yeast converts glucose in the wort to ethyl alcohol and carbon dioxide gas (CO2) to give beer its alcohol content and carbonation.
yes
The corresponding question: Does the following sentence make sense?
"The process of Fermentation can result in beer."
Options:
- yes
- no
Explanation and answer: Eminem's music is held to be highly influential on hip-hop in the 2000's.
yes
The corresponding question: | Claim: "Eminem's wrote revolutionary music that inspired a generation of hip-hop artists."
Is the claim above correct, and can it be verified by human common sense and without a web search?
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- no | [
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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. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. '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'. Perform the operations in order, i.e., do not reverse first and then concatenate.
Input: Consider Input: 4, 4, ['675', 'e', 'A', 'H', 'O', 'E', 'g', 'j', 'j', '5167', '2367', 'u', 'E', '753', 'M']
Output: H
Input: Consider Input: 2, 11, ['6519', 'l', '6577', 'z', '4271', 'R', 'O', '7809', 'K', 'V', '4531']
Output: 1354VK9087OR1724z7756l
Input: Consider Input: 3, 5, ['4629', 'Y', '3927', 'F', '309', '8057', '5931', '4193', '9313', '1697', 'E', 'P', 'r']
| Output: 903F7293
| 2 | NIv2 | task267_concatenate_and_reverse_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. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. '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'. Perform the operations in order, i.e., do not reverse first and then concatenate.\n\nInput: Consider Input: 4, 4, ['675', 'e', 'A', 'H', 'O', 'E', 'g', 'j', 'j', '5167', '2367', 'u', 'E', '753', 'M']\n\nOutput: H\n\n\nInput: Consider Input: 2, 11, ['6519', 'l', '6577', 'z', '4271', 'R', 'O', '7809', 'K', 'V', '4531']\n\nOutput: 1354VK9087OR1724z7756l\n\n\nInput: Consider Input: 3, 5, ['4629', 'Y', '3927', 'F', '309', '8057', '5931', '4193', '9313', '1697', 'E', 'P', 'r']\n\n",
"role": "user"
},
{
"content": "Output: 903F7293\n\n\n",
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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. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. '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'. Perform the operations in order, i.e., do not reverse first and then concatenate.
Input: Consider Input: 4, 4, ['675', 'e', 'A', 'H', 'O', 'E', 'g', 'j', 'j', '5167', '2367', 'u', 'E', '753', 'M']
Output: H
Input: Consider Input: 2, 11, ['6519', 'l', '6577', 'z', '4271', 'R', 'O', '7809', 'K', 'V', '4531']
Output: 1354VK9087OR1724z7756l
Input: Consider Input: 3, 5, ['4629', 'Y', '3927', 'F', '309', '8057', '5931', '4193', '9313', '1697', 'E', 'P', 'r']
| Output: 903F7293
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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're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different from what is present in the text. If they still refer to the same entity, then it is a correct title. Indicate your answer as "Yes" if the title is correct, otherwise indicate your answer as "No". Do not generate anything else apart from "Yes" or "No"
Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association.
Title: Mansfield Building Society
Solution: Yes
Why? The title "Mansfield Building Society" is present in the text and it is the main entity that is referred in the text. Hence, it is the title of the document.
New input: Text: zapata: El sueño del héroe is the Soundtrack for the Mexican film zapata: El sueño del héroe and was released in May 2004 to accompany the release of the film. The lead single was the song Lucharé por tu amor by Alejandro Fernández and reached the top 10 of the Billboard Latin Pop Airplay chart.
Title: Zapata: El sueño del héroe (soundtrack)
Solution: | Yes | 0 | NIv2 | task630_dbpedia_14_classification | 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're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: \"HMS Mallow (K81)\", or be slightly different from what is present in the text. If they still refer to the same entity, then it is a correct title. Indicate your answer as \"Yes\" if the title is correct, otherwise indicate your answer as \"No\". Do not generate anything else apart from \"Yes\" or \"No\"\n\nText: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. \nTitle: Mansfield Building Society\nSolution: Yes\nWhy? The title \"Mansfield Building Society\" is present in the text and it is the main entity that is referred in the text. Hence, it is the title of the document.\n\nNew input: Text: zapata: El sueño del héroe is the Soundtrack for the Mexican film zapata: El sueño del héroe and was released in May 2004 to accompany the release of the film. The lead single was the song Lucharé por tu amor by Alejandro Fernández and reached the top 10 of the Billboard Latin Pop Airplay chart. \nTitle: Zapata: El sueño del héroe (soundtrack)\nSolution:",
"role": "user"
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{
"content": "Yes",
"role": "assistant"
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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're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different from what is present in the text. If they still refer to the same entity, then it is a correct title. Indicate your answer as "Yes" if the title is correct, otherwise indicate your answer as "No". Do not generate anything else apart from "Yes" or "No"
Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association.
Title: Mansfield Building Society
Solution: Yes
Why? The title "Mansfield Building Society" is present in the text and it is the main entity that is referred in the text. Hence, it is the title of the document.
New input: Text: zapata: El sueño del héroe is the Soundtrack for the Mexican film zapata: El sueño del héroe and was released in May 2004 to accompany the release of the film. The lead single was the song Lucharé por tu amor by Alejandro Fernández and reached the top 10 of the Billboard Latin Pop Airplay chart.
Title: Zapata: El sueño del héroe (soundtrack)
Solution: | Yes | [
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In this task, you are given a question. You have to answer the question based on your information.
One example: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution is here: William Egbert
Explanation: This is a good example, and output correctly answers the question.
Now, solve this: What position at the University of Georgia is currently held by the person who replaced Jack Del Rio for the Jacksonville Jaguars?
Solution: | defensive coordinator | 6 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
{
"content": "In this task, you are given a question. You have to answer the question based on your information.\nOne example: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?\nSolution is here: William Egbert\nExplanation: This is a good example, and output correctly answers the question.\n\nNow, solve this: What position at the University of Georgia is currently held by the person who replaced Jack Del Rio for the Jacksonville Jaguars?\nSolution:",
"role": "user"
},
{
"content": "defensive coordinator",
"role": "assistant"
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One example: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution is here: William Egbert
Explanation: This is a good example, and output correctly answers the question.
Now, solve this: What position at the University of Georgia is currently held by the person who replaced Jack Del Rio for the Jacksonville Jaguars?
Solution: | defensive coordinator | [
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In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 34, f, 931, 7
Rationale: Here, all the elements except the last 3 from the list are 'a', '34', 'f', '931', and '7'.
Q: 1, ['H', 'X', 'c', 'R', '4695', '5177']
A: | H, X, c, R, 4695 | 9 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
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"content": "In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.\nOne example is below.\nQ: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']\nA: a, 34, f, 931, 7\nRationale: Here, all the elements except the last 3 from the list are 'a', '34', 'f', '931', and '7'.\nQ: 1, ['H', 'X', 'c', 'R', '4695', '5177']\nA:",
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One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 34, f, 931, 7
Rationale: Here, all the elements except the last 3 from the list are 'a', '34', 'f', '931', and '7'.
Q: 1, ['H', 'X', 'c', 'R', '4695', '5177']
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In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Example input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Example output: Aromi is an English restaurant in the city centre.
Example explanation: The output sentence faithfully converts the data in the input into a natural-sounding sentence.
Q: name[Cocum], eatType[pub], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes]
A: | Cocum is a pub with moderate prices. It has a 1 out of 5 rating and is kid friendly. | 3 | NIv2 | task957_e2e_nlg_text_generation_generate | fs_opt | [
{
"content": "In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.\n\nExample input: name[Aromi], eatType[restaurant], food[English], area[city centre]\nExample output: Aromi is an English restaurant in the city centre.\nExample explanation: The output sentence faithfully converts the data in the input into a natural-sounding sentence.\nQ: name[Cocum], eatType[pub], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes]\nA:",
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"content": "Cocum is a pub with moderate prices. It has a 1 out of 5 rating and is kid friendly.",
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] | In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Example input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Example output: Aromi is an English restaurant in the city centre.
Example explanation: The output sentence faithfully converts the data in the input into a natural-sounding sentence.
Q: name[Cocum], eatType[pub], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes]
A: | Cocum is a pub with moderate prices. It has a 1 out of 5 rating and is kid friendly. | [
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Translate "As for the statutory provisions which enable other States to benefit from those early warning mechanisms and systems, the procedures have been taken that were already mentioned in article 5, which provides as follows:" to French? | Les dispositions législatives, qui permettent aux autres États de tirer parti des mécanismes et dispositifs d'alerte rapide, sont énoncées à l'article 5, lequel prévoit ce qui suit : | 7 | Flan2021 | wmt14_translate/fr-en:1.0.0 | zs_opt | [
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"content": "Les dispositions législatives, qui permettent aux autres États de tirer parti des mécanismes et dispositifs d'alerte rapide, sont énoncées à l'article 5, lequel prévoit ce qui suit :",
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Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Q: All Fletcher wants to do is lie on his bunk reading his porn magazine. McLaren tries to persuade Fletcher to come and see the prison football match, but Fletcher refuses. Next, Warren comes in and asks for a loan of the ping pong ball. After Warren leaves, Banyard the defrocked dentist asks Fletcher if _he_d be interested in joining their drama society. <sep>, Pronoun: he <sep>, A: Warren <sep>, B: Fletcher
A: | B | 9 | NIv2 | task329_gap_classification | zs_opt | [
{
"content": "Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two \"_\"s.\nQ: All Fletcher wants to do is lie on his bunk reading his porn magazine. McLaren tries to persuade Fletcher to come and see the prison football match, but Fletcher refuses. Next, Warren comes in and asks for a loan of the ping pong ball. After Warren leaves, Banyard the defrocked dentist asks Fletcher if _he_d be interested in joining their drama society. <sep>, Pronoun: he <sep>, A: Warren <sep>, B: Fletcher\nA:",
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"content": "B",
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] | Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Q: All Fletcher wants to do is lie on his bunk reading his porn magazine. McLaren tries to persuade Fletcher to come and see the prison football match, but Fletcher refuses. Next, Warren comes in and asks for a loan of the ping pong ball. After Warren leaves, Banyard the defrocked dentist asks Fletcher if _he_d be interested in joining their drama society. <sep>, Pronoun: he <sep>, A: Warren <sep>, B: Fletcher
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Student: Given the sentence "A soccer player is making a flying kick towards the goal." is it true that "The young soccer player kicks the ball at 110mph towards the goal."?.
Teacher: Let's think:
| You can not tell the ball was kicked at 110mph towards the goal just because it was a flying kick. So the final answer is it is not possible to tell. | 5 | CoT | cot_esnli | zs_opt | [
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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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. 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.
Example: Head: person<sep>Tail: complaints to addressed
Example solution: Yes
Example explanation: This is a good example. The Head desires the Tail.
Problem: Head: PersonX arrives home<sep>Tail: to drive.
| Solution: No | 5 | NIv2 | task1213_atomic_classification_desires | 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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. 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.\nExample: Head: person<sep>Tail: complaints to addressed\nExample solution: Yes\nExample explanation: This is a good example. The Head desires the Tail.\n\nProblem: Head: PersonX arrives home<sep>Tail: to drive.\n",
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"content": "Solution: No",
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Example: Head: person<sep>Tail: complaints to addressed
Example solution: Yes
Example explanation: This is a good example. The Head desires the Tail.
Problem: Head: PersonX arrives home<sep>Tail: to drive.
| Solution: No | [
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Question: Q: Large amounts of fuel are stored in skeletal muscles, adipose tissues and what organ? A:
OPTIONS:
- skin
- spleen
- kidney
- liver
Answer: liver
input with options: Q: Metabolism produces waste energy in the form of heat, which helps what type of animal conserve and maintain heat at a relatively constant body temperature? A:
OPTIONS:
- lizard
- cold-blooded (ectotherm)
- amphibian
- warm-blooded (endotherm)
output: warm-blooded (endotherm)
Q: Q: What is the plasma membrane mainly composed of? A:
OPTIONS:
- filaments
- antibodies
- carbon
- phospholipids
A: phospholipids
input: OPTIONS:
- acids
- neutrons
- resistors
- nucleophiles Now, answer this question: Q: Electrophiles have a strong tendency to react with what? A:
A:
output: nucleophiles
Q: What makes metals shiny? A:
OPTIONS:
- light characterization
- light energy
- light expansion
- light reflection
Answer: light reflection
Q: Q: What is the rate at which energy is being transferred called? A:
OPTIONS:
- electric
- force
- pressure
- power
A: | power | 4 | P3 | sciq_Direct_Question_Closed_Book_ | fs_opt | [
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] | Question: Q: Large amounts of fuel are stored in skeletal muscles, adipose tissues and what organ? A:
OPTIONS:
- skin
- spleen
- kidney
- liver
Answer: liver
input with options: Q: Metabolism produces waste energy in the form of heat, which helps what type of animal conserve and maintain heat at a relatively constant body temperature? A:
OPTIONS:
- lizard
- cold-blooded (ectotherm)
- amphibian
- warm-blooded (endotherm)
output: warm-blooded (endotherm)
Q: Q: What is the plasma membrane mainly composed of? A:
OPTIONS:
- filaments
- antibodies
- carbon
- phospholipids
A: phospholipids
input: OPTIONS:
- acids
- neutrons
- resistors
- nucleophiles Now, answer this question: Q: Electrophiles have a strong tendency to react with what? A:
A:
output: nucleophiles
Q: What makes metals shiny? A:
OPTIONS:
- light characterization
- light energy
- light expansion
- light reflection
Answer: light reflection
Q: Q: What is the rate at which energy is being transferred called? A:
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- force
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In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
[Q]: Foreign military men in assembled a town square
[A]: (4, 5)
[Q]: A light street holds two street signs on it
[A]: (2, 3)
[Q]: A person with tennis shoes on with their feet on crossed a bed
[A]: | (10, 11)
| 5 | NIv2 | task089_swap_words_verification | fs_opt | [
{
"content": "In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.\n\n[Q]: Foreign military men in assembled a town square\n[A]: (4, 5)\n\n\n[Q]: A light street holds two street signs on it\n[A]: (2, 3)\n\n\n[Q]: A person with tennis shoes on with their feet on crossed a bed\n[A]:",
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"content": "(10, 11)\n\n\n",
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] | In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
[Q]: Foreign military men in assembled a town square
[A]: (4, 5)
[Q]: A light street holds two street signs on it
[A]: (2, 3)
[Q]: A person with tennis shoes on with their feet on crossed a bed
[A]: | (10, 11)
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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 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 acts like a man<sep>Tail: testosterone increases | No | 0 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
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Given the sentence "A little girl with big bright eyes wearing a yellow shirt holding a snail." can we conclude that "The little girl is playing in a box."?
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- yes
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- no Now, let's be accurate as possible. Some thinking first: | The subject holding a snail is unlikely to be playing in a box. So, the answer is no. | 3 | CoT | cot_esnli | zs_opt | [
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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 the Head can be hindered by what is mentioned in the Tail or not. In this task, hindering introduces hindrances that obstruct the natural path to the achievement of a goal. For example, the event PersonX adopts a cat can be obstructed if PersonX is allergic to cats. 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.
Example input: Head: PersonX touches a nerve<sep>Tail: PersonX is too nice
Example output: Yes
Example explanation: This is a good example. The Tail can hinder the Head.
Q: Head: PersonX allergic to bees<sep>Tail: scared
A: | No | 3 | NIv2 | task1204_atomic_classification_hinderedby | 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 the Head can be hindered by what is mentioned in the Tail or not. In this task, hindering introduces hindrances that obstruct the natural path to the achievement of a goal. For example, the event PersonX adopts a cat can be obstructed if PersonX is allergic to cats. 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\nExample input: Head: PersonX touches a nerve<sep>Tail: PersonX is too nice\nExample output: Yes\nExample explanation: This is a good example. The Tail can hinder the Head.\nQ: Head: PersonX allergic to bees<sep>Tail: scared\nA:",
"role": "user"
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{
"content": "No",
"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 the Head can be hindered by what is mentioned in the Tail or not. In this task, hindering introduces hindrances that obstruct the natural path to the achievement of a goal. For example, the event PersonX adopts a cat can be obstructed if PersonX is allergic to cats. 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.
Example input: Head: PersonX touches a nerve<sep>Tail: PersonX is too nice
Example output: Yes
Example explanation: This is a good example. The Tail can hinder the Head.
Q: Head: PersonX allergic to bees<sep>Tail: scared
A: | No | [
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Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: من هم با خوشحالی بزدلانهای آمده بودم تا به یک خانه مجلل نگاهی بیندازم اما آنچه میدیدم خانهای بود که سوخته، سیاه و ویران شده بود.
Output: | I looked with timorous joy towards a stately house: I saw a blackened ruin. | 3 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
{
"content": "Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.\nInput: من هم با خوشحالی بزدلانهای آمده بودم تا به یک خانه مجلل نگاهی بیندازم اما آنچه میدیدم خانهای بود که سوخته، سیاه و ویران شده بود.\nOutput:",
"role": "user"
},
{
"content": "I looked with timorous joy towards a stately house: I saw a blackened ruin.",
"role": "assistant"
}
] | Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: من هم با خوشحالی بزدلانهای آمده بودم تا به یک خانه مجلل نگاهی بیندازم اما آنچه میدیدم خانهای بود که سوخته، سیاه و ویران شده بود.
Output: | I looked with timorous joy towards a stately house: I saw a blackened ruin. | [
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Given a sentence in Spanish, generate a new Spanish 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.
[Q]: Un día rápido te haría querer montar en bicicleta.
[A]: Un día saludable te haría querer cambiar de bicicleta.
[Q]: Es probable que encuentres una cortina delante de una huella.
[A]: Es probable que encuentres una cortina delante de una alfombra.
[Q]: Si quieres perder la ronda, entonces debes dirigirte a un pase de autobús.
[A]: | Si desea transferir el operador, entonces debe enviar un pase de autobús.
| 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
{
"content": "Given a sentence in Spanish, generate a new Spanish 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.\n\n[Q]: Un día rápido te haría querer montar en bicicleta.\n[A]: Un día saludable te haría querer cambiar de bicicleta.\n\n\n[Q]: Es probable que encuentres una cortina delante de una huella.\n[A]: Es probable que encuentres una cortina delante de una alfombra.\n\n\n[Q]: Si quieres perder la ronda, entonces debes dirigirte a un pase de autobús.\n[A]:",
"role": "user"
},
{
"content": "Si desea transferir el operador, entonces debe enviar un pase de autobús.\n\n\n",
"role": "assistant"
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] | Given a sentence in Spanish, generate a new Spanish 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.
[Q]: Un día rápido te haría querer montar en bicicleta.
[A]: Un día saludable te haría querer cambiar de bicicleta.
[Q]: Es probable que encuentres una cortina delante de una huella.
[A]: Es probable que encuentres una cortina delante de una alfombra.
[Q]: Si quieres perder la ronda, entonces debes dirigirte a un pase de autobús.
[A]: | Si desea transferir el operador, entonces debe enviar un pase de autobús.
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Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
[EX Q]: Entity 1: glacier
Entity 2: cirque
[EX A]: yes
[EX Q]: Entity 1: skull
Entity 2: layer
[EX A]: yes
[EX Q]: Entity 1: water
Entity 2: dissolve carbon dioxide
[EX A]: | yes
| 6 | NIv2 | task472_haspart_classification | fs_opt | [
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"content": "Given two entities as input, classify as \"yes\" if second entity is the part of the first entity. Otherwise classify them as \"no\". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).\n\n[EX Q]: Entity 1: glacier \n Entity 2: cirque\n[EX A]: yes\n\n[EX Q]: Entity 1: skull \n Entity 2: layer\n[EX A]: yes\n\n[EX Q]: Entity 1: water \n Entity 2: dissolve carbon dioxide\n[EX A]:",
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[EX Q]: Entity 1: glacier
Entity 2: cirque
[EX A]: yes
[EX Q]: Entity 1: skull
Entity 2: layer
[EX A]: yes
[EX Q]: Entity 1: water
Entity 2: dissolve carbon dioxide
[EX A]: | yes
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You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example Input: É um efeito secundário do mais interessante que pode haver.
Example Output: זו תופעת לוואי מעניינת.
Example Input: Estima-se que foram produzidas mais de 400 bilhões de peças — ou 75 peças para cada pessoa no planeta.
Example Output: מעריכים שיוצרו יותר מ400 מיליארד לבנים — או 75 לבנים לכל אדם בעולם.
Example Input: Então esta é uma diplomacia muito interessante que está a surgir.
Example Output: | אז צפויה לנו דיפלומטיה מאד מעניינת.
| 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
{
"content": "You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.\n\nExample Input: É um efeito secundário do mais interessante que pode haver.\nExample Output: זו תופעת לוואי מעניינת.\n\nExample Input: Estima-se que foram produzidas mais de 400 bilhões de peças — ou 75 peças para cada pessoa no planeta.\nExample Output: מעריכים שיוצרו יותר מ400 מיליארד לבנים — או 75 לבנים לכל אדם בעולם.\n\nExample Input: Então esta é uma diplomacia muito interessante que está a surgir.\nExample Output:",
"role": "user"
},
{
"content": "אז צפויה לנו דיפלומטיה מאד מעניינת.\n\n",
"role": "assistant"
}
] | You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example Input: É um efeito secundário do mais interessante que pode haver.
Example Output: זו תופעת לוואי מעניינת.
Example Input: Estima-se que foram produzidas mais de 400 bilhões de peças — ou 75 peças para cada pessoa no planeta.
Example Output: מעריכים שיוצרו יותר מ400 מיליארד לבנים — או 75 לבנים לכל אדם בעולם.
Example Input: Então esta é uma diplomacia muito interessante que está a surgir.
Example Output: | אז צפויה לנו דיפלומטיה מאד מעניינת.
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[Ans] it is not possible to tell
[Question] If "Old lady crosses the street in the city." does that mean that "The lady is walking to work."?
Options:
- yes
- it is not possible to tell
- no
[CoT] A street can be crossed for any reason and not just to get to work.
[Ans] no
[Question] Premise: "A woman in black converse walks down the sidewalk on a cold day."
Hypothesis: "She is in her apartment with the ac on."
Do we know that the hypothesis entailed by the premise?
[CoT] A person cannot walk down the sidewalk if she is in an apartment.
[Ans] yes
[Question] | If "A guy in a red shirt and shorts wearing a bandanna riding a bicycle." does that mean that "A guy is wearing a red shirt."?
Options:
- yes
- it is not possible to tell
- no
[CoT] Wearing a red shirt is a way of rephrasing in a red shirt. | 3 | CoT | cot_esnli_ii | fs_opt | [
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"content": "[Ans] it is not possible to tell\n[Question] If \"Old lady crosses the street in the city.\" does that mean that \"The lady is walking to work.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n[CoT] A street can be crossed for any reason and not just to get to work.\n\n\n[Ans] no\n[Question] Premise: \"A woman in black converse walks down the sidewalk on a cold day.\"\nHypothesis: \"She is in her apartment with the ac on.\"\nDo we know that the hypothesis entailed by the premise?\n[CoT] A person cannot walk down the sidewalk if she is in an apartment.\n\n\n[Ans] yes\n[Question]",
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"content": "If \"A guy in a red shirt and shorts wearing a bandanna riding a bicycle.\" does that mean that \"A guy is wearing a red shirt.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n[CoT] Wearing a red shirt is a way of rephrasing in a red shirt.",
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[Question] If "Old lady crosses the street in the city." does that mean that "The lady is walking to work."?
Options:
- yes
- it is not possible to tell
- no
[CoT] A street can be crossed for any reason and not just to get to work.
[Ans] no
[Question] Premise: "A woman in black converse walks down the sidewalk on a cold day."
Hypothesis: "She is in her apartment with the ac on."
Do we know that the hypothesis entailed by the premise?
[CoT] A person cannot walk down the sidewalk if she is in an apartment.
[Ans] yes
[Question] | If "A guy in a red shirt and shorts wearing a bandanna riding a bicycle." does that mean that "A guy is wearing a red shirt."?
Options:
- yes
- it is not possible to tell
- no
[CoT] Wearing a red shirt is a way of rephrasing in a red shirt. | [
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The question and answer pair are described below. | Q: Is the following sentence factually correct?
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- no
A: yes | 14 | CoT | cot_creak_ii | zs_opt | [
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You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
--------
Question: 私は変わった
Answer: ♪ Porque eu mudei
Question: もしも身に付けられるものだとしたら ?
Answer: Mas e se estes fatores fossem ativos?
Question: 今回はサマーキャンプの話をしましたけど
Answer: | Ora, conto-vos esta história sobre o campo de férias.
| 7 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
{
"content": "You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.\n--------\nQuestion: 私は変わった\n\nAnswer: ♪ Porque eu mudei\n\n\nQuestion: もしも身に付けられるものだとしたら ?\n\nAnswer: Mas e se estes fatores fossem ativos?\n\n\nQuestion: 今回はサマーキャンプの話をしましたけど\n\nAnswer:",
"role": "user"
},
{
"content": "Ora, conto-vos esta história sobre o campo de férias.\n\n\n",
"role": "assistant"
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] | You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
--------
Question: 私は変わった
Answer: ♪ Porque eu mudei
Question: もしも身に付けられるものだとしたら ?
Answer: Mas e se estes fatores fossem ativos?
Question: 今回はサマーキャンプの話をしましたけど
Answer: | Ora, conto-vos esta história sobre o campo de férias.
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instruction:
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
question:
Concept: hospital, Relatum: small.
answer:
attri
question:
Concept: whale, Relatum: cetacean.
answer:
hyper
question:
Concept: lime, Relatum: juicy.
answer:
| attri
| 9 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
{
"content": "instruction:\nGiven a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.\nquestion:\nConcept: hospital, Relatum: small.\nanswer:\nattri\n\n\nquestion:\nConcept: whale, Relatum: cetacean.\nanswer:\nhyper\n\n\nquestion:\nConcept: lime, Relatum: juicy.\nanswer:\n",
"role": "user"
},
{
"content": "attri\n\n\n",
"role": "assistant"
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] | instruction:
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
question:
Concept: hospital, Relatum: small.
answer:
attri
question:
Concept: whale, Relatum: cetacean.
answer:
hyper
question:
Concept: lime, Relatum: juicy.
answer:
| attri
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Explain simply why it is not possible to tell is the correct answer to: Can we conclude from "Both women are wearing glasses and long-sleeved shirts." that "Both women are wearing glasses and long-sleeved shirts and have vision issues."?
Options:
- yes
- no
- it is not possible to tell. Explanation: | Both women have vision issues and are wearing glasses and long-sleeved shirts. | 12 | CoT | cot_esnli_ii | zs_opt | [
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"content": "Explain simply why it is not possible to tell is the correct answer to: Can we conclude from \"Both women are wearing glasses and long-sleeved shirts.\" that \"Both women are wearing glasses and long-sleeved shirts and have vision issues.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell. Explanation:",
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"content": "Both women have vision issues and are wearing glasses and long-sleeved shirts.",
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Options:
- yes
- no
- it is not possible to tell. Explanation: | Both women have vision issues and are wearing glasses and long-sleeved shirts. | [
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Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor 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.
Part 2. Example
Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Answer: Tom had been shopping for fruit to give Jon.
Explanation: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Part 3. Exercise
Sentence 1: A loan runner participates in a race in the rain. Sentence 2: The person is sleeping.
Answer: | THe person is racing in the rain | 7 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
{
"content": "Part 1. Definition\nIn this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor 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.\nPart 2. Example\nSentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.\nAnswer: Tom had been shopping for fruit to give Jon.\nExplanation: The given sentence is a good alteration. If the changed sentence was something like: \"Tom had been sleeping in his house in that time\", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.\nPart 3. Exercise\nSentence 1: A loan runner participates in a race in the rain. Sentence 2: The person is sleeping.\nAnswer:",
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"content": "THe person is racing in the rain",
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] | Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor 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.
Part 2. Example
Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Answer: Tom had been shopping for fruit to give Jon.
Explanation: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Part 3. Exercise
Sentence 1: A loan runner participates in a race in the rain. Sentence 2: The person is sleeping.
Answer: | THe person is racing in the rain | [
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In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
--------
Question: im thinking of locking myself in my house until i manage to get it all organized but i have a feeling i may become as cranky and isolated as this dear friend a href http
Answer: anger
Question: i have the best conversations and the best time together unlike any ive had before but i feel like being totally in love with him does no good when he could care less about some stupid sophomore
Answer: joy
Question: im feeling agitated today
Answer: | fear
| 7 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
{
"content": "In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.\n--------\nQuestion: im thinking of locking myself in my house until i manage to get it all organized but i have a feeling i may become as cranky and isolated as this dear friend a href http\n\nAnswer: anger\n\n\nQuestion: i have the best conversations and the best time together unlike any ive had before but i feel like being totally in love with him does no good when he could care less about some stupid sophomore\n\nAnswer: joy\n\n\nQuestion: im feeling agitated today\n\nAnswer:",
"role": "user"
},
{
"content": "fear\n\n\n",
"role": "assistant"
}
] | In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
--------
Question: im thinking of locking myself in my house until i manage to get it all organized but i have a feeling i may become as cranky and isolated as this dear friend a href http
Answer: anger
Question: i have the best conversations and the best time together unlike any ive had before but i feel like being totally in love with him does no good when he could care less about some stupid sophomore
Answer: joy
Question: im feeling agitated today
Answer: | fear
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The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Q: PersonX confers ___ upon PersonY
A: | to reward him for his work. | 4 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
{
"content": "The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.\nQ: PersonX confers ___ upon PersonY\nA: ",
"role": "user"
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"content": "to reward him for his work.",
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] | The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Q: PersonX confers ___ upon PersonY
A: | to reward him for his work. | [
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[1] What does the sky do before a rain?
Options:
- appear beautiful
- appear blue
- shows a rainbow
- rain water
- cloud over
cloud over
[2] Before rain, the sky is full of clouds. There are clouds all over the sky before a rain.
[1] Where can you learn about a ferret with special abilities far beyond normal ferrets?
Options:
- comic book
- out of doors
- great britain
- redwall
- north carolina
comic book
[2] Comic book have animal characters with abilities beyond the reality. Ferret can be character in comic book and person can use comic book to learn about special ferret.
[1] In order to fight inflation you should be doing this?
Options:
- dissatisfaction
- saving money
- not very much
- invest
- higher interest rates
saving money
[2] Savings of money is advisable if you want to fight the inflation as the prices of the goods increases in inflation.
[1] What would happen if you are loving another and he or she loves you?
Options:
- infatuation
- heartache
- wonderful
- happiness
- peace
happiness
[2] | Happiness is derived when we get what we want. Loving and getting loved is a positive and happy feeling. | 2 | CoT | cot_ecqa_ii | fs_opt | [
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Options:
- appear beautiful
- appear blue
- shows a rainbow
- rain water
- cloud over
cloud over
[2] Before rain, the sky is full of clouds. There are clouds all over the sky before a rain.
[1] Where can you learn about a ferret with special abilities far beyond normal ferrets?
Options:
- comic book
- out of doors
- great britain
- redwall
- north carolina
comic book
[2] Comic book have animal characters with abilities beyond the reality. Ferret can be character in comic book and person can use comic book to learn about special ferret.
[1] In order to fight inflation you should be doing this?
Options:
- dissatisfaction
- saving money
- not very much
- invest
- higher interest rates
saving money
[2] Savings of money is advisable if you want to fight the inflation as the prices of the goods increases in inflation.
[1] What would happen if you are loving another and he or she loves you?
Options:
- infatuation
- heartache
- wonderful
- happiness
- peace
happiness
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Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
Q: story: Gary was excited for a snow day. The news called for over a feet of snow. He didn't bother doing his homework. The next day it didn't snow. Gary got in trouble at school.
selected sentence: He didn't bother doing his homework.
A: | Gary doesn't do his homework >Causes> Gary feel(s) regret | 9 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
{
"content": "Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form \" A >Causes> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).\nQ: story: Gary was excited for a snow day. The news called for over a feet of snow. He didn't bother doing his homework. The next day it didn't snow. Gary got in trouble at school.\n selected sentence: He didn't bother doing his homework.\nA:",
"role": "user"
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{
"content": "Gary doesn't do his homework >Causes> Gary feel(s) regret ",
"role": "assistant"
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] | Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
Q: story: Gary was excited for a snow day. The news called for over a feet of snow. He didn't bother doing his homework. The next day it didn't snow. Gary got in trouble at school.
selected sentence: He didn't bother doing his homework.
A: | Gary doesn't do his homework >Causes> Gary feel(s) regret | [
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Definition: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Input: Context: Aubrey told Carson what the plan was, they'd break into a bank and steal the money with weapons, then drive away.
Question: What does Aubrey need to do before this?
Options: (A) needed Carson to get a car to drive away with (B) follow the plan (C) needed to get weapons for the heist
Answer: C
Output: | Yes | 2 | NIv2 | task579_socialiqa_classification | zs_opt | [
{
"content": "Definition: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.\nInput: Context: Aubrey told Carson what the plan was, they'd break into a bank and steal the money with weapons, then drive away. \n Question: What does Aubrey need to do before this? \n Options: (A) needed Carson to get a car to drive away with (B) follow the plan (C) needed to get weapons for the heist \n Answer: C\nOutput:",
"role": "user"
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{
"content": "Yes",
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] | Definition: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Input: Context: Aubrey told Carson what the plan was, they'd break into a bank and steal the money with weapons, then drive away.
Question: What does Aubrey need to do before this?
Options: (A) needed Carson to get a car to drive away with (B) follow the plan (C) needed to get weapons for the heist
Answer: C
Output: | Yes | [
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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".
[Q]: What is the second event?
[A]: user
[Q]: Oh I meant can you find the walk in the park next Monday
[A]: user
[Q]: It will be clear with a temperature of about 0.00 °F on Monday the 26th around 9:00 AM.
[A]: | agent
| 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\".\n\n[Q]: What is the second event?\n[A]: user\n\n\n[Q]: Oh I meant can you find the walk in the park next Monday\n[A]: user\n\n\n[Q]: It will be clear with a temperature of about 0.00 °F on Monday the 26th around 9:00 AM.\n[A]:",
"role": "user"
},
{
"content": "agent\n\n\n",
"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".
[Q]: What is the second event?
[A]: user
[Q]: Oh I meant can you find the walk in the park next Monday
[A]: user
[Q]: It will be clear with a temperature of about 0.00 °F on Monday the 26th around 9:00 AM.
[A]: | agent
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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 Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: didn't happen today, but three weeks ago.
so, i just got back from a college orientation and sat down in the living room. i haven't seen my two dogs in a couple of days, so they were ecstatic to see me. the little one jumped on my lap, i petted him and he began to scratch his side. well, that was my conclusion.
that little ho jizzed all down my new dress that i just got that day.
let's say that he doesn't get on my lap anymore.
Output: | TIFU by Petting my Dog | 1 | NIv2 | task510_reddit_tifu_title_summarization | 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 Reddit post as a text. Your task is to generate a title for this text. The title should start with \"TIFU by\", followed by a situation that caused humor. The title should contain 7-12 words, ideally.\n\nText: didn't happen today, but three weeks ago.\n\nso, i just got back from a college orientation and sat down in the living room. i haven't seen my two dogs in a couple of days, so they were ecstatic to see me. the little one jumped on my lap, i petted him and he began to scratch his side. well, that was my conclusion.\n\nthat little ho jizzed all down my new dress that i just got that day.\nlet's say that he doesn't get on my lap anymore.\nOutput:",
"role": "user"
},
{
"content": "TIFU by Petting my Dog",
"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 Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: didn't happen today, but three weeks ago.
so, i just got back from a college orientation and sat down in the living room. i haven't seen my two dogs in a couple of days, so they were ecstatic to see me. the little one jumped on my lap, i petted him and he began to scratch his side. well, that was my conclusion.
that little ho jizzed all down my new dress that i just got that day.
let's say that he doesn't get on my lap anymore.
Output: | TIFU by Petting my Dog | [
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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.
Sentence 1: A woman in a gray sweater and hat digs a hole at a playground with the help of an adolescent female. Sentence 2: A woman and a child are walking down a strawberry patch.
A woman is not digging a hole alone.
Sentence 1: A man wears an orange hat and glasses. Sentence 2: The boy is riding his bike.
the mans face is not completely visible.
Sentence 1: Two Asian elders are playing Chinese chess on a bench. Sentence 2: Two people are playing cards.
| Two people are sitting down a bench playing a game.
| 0 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
{
"content": "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.\n\nSentence 1: A woman in a gray sweater and hat digs a hole at a playground with the help of an adolescent female. Sentence 2: A woman and a child are walking down a strawberry patch.\nA woman is not digging a hole alone.\n\nSentence 1: A man wears an orange hat and glasses. Sentence 2: The boy is riding his bike.\nthe mans face is not completely visible.\n\nSentence 1: Two Asian elders are playing Chinese chess on a bench. Sentence 2: Two people are playing cards.\n",
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{
"content": "Two people are sitting down a bench playing a game.\n\n",
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] | 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.
Sentence 1: A woman in a gray sweater and hat digs a hole at a playground with the help of an adolescent female. Sentence 2: A woman and a child are walking down a strawberry patch.
A woman is not digging a hole alone.
Sentence 1: A man wears an orange hat and glasses. Sentence 2: The boy is riding his bike.
the mans face is not completely visible.
Sentence 1: Two Asian elders are playing Chinese chess on a bench. Sentence 2: Two people are playing cards.
| Two people are sitting down a bench playing a game.
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In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[5, 49, 46, 5, 19, -47, -77, -60, 84]
[46, -60, 84]
[95, -82, -4, -28, 5, 14, 13, -53]
[-82, -4, -28, 14]
[34, 45, -99, -93, 24, -99, -4, -67, -97, -85]
| [34, 24, -4]
| 0 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
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"content": "In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list (\"[]\") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.\n\n[5, 49, 46, 5, 19, -47, -77, -60, 84]\n[46, -60, 84]\n\n[95, -82, -4, -28, 5, 14, 13, -53]\n[-82, -4, -28, 14]\n\n[34, 45, -99, -93, 24, -99, -4, -67, -97, -85]\n",
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[5, 49, 46, 5, 19, -47, -77, -60, 84]
[46, -60, 84]
[95, -82, -4, -28, 5, 14, 13, -53]
[-82, -4, -28, 14]
[34, 45, -99, -93, 24, -99, -4, -67, -97, -85]
| [34, 24, -4]
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Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., suggest, advice, recommend), verbs (e.g., can, could, should, may), or using questions (e.g., why don't you's, how about, have you thought about). (2) Indirect advice: contains hints from personal experiences with the intention for someone to do the same thing or statements that imply an action should (or should not) be taken.
--------
Question: Accept the fact that some people will find excuses to get you out of their lives instead of talking to you and try solving the problem .
Answer: yes
Question: This is where the time your brain activity is more faster than your brain if it 's not sleeping .
Answer: no
Question: oh sorry I 'm such an idiot . "
Answer: | no
| 7 | NIv2 | task115_help_advice_classification | fs_opt | [
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"content": "Read the given sentence and if it is a general advice then indicate via \"yes\". Otherwise indicate via \"no\". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., suggest, advice, recommend), verbs (e.g., can, could, should, may), or using questions (e.g., why don't you's, how about, have you thought about). (2) Indirect advice: contains hints from personal experiences with the intention for someone to do the same thing or statements that imply an action should (or should not) be taken.\n--------\nQuestion: Accept the fact that some people will find excuses to get you out of their lives instead of talking to you and try solving the problem .\n\nAnswer: yes\n\n\nQuestion: This is where the time your brain activity is more faster than your brain if it 's not sleeping .\n\nAnswer: no\n\n\nQuestion: oh sorry I 'm such an idiot . \"\n\nAnswer:",
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] | Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., suggest, advice, recommend), verbs (e.g., can, could, should, may), or using questions (e.g., why don't you's, how about, have you thought about). (2) Indirect advice: contains hints from personal experiences with the intention for someone to do the same thing or statements that imply an action should (or should not) be taken.
--------
Question: Accept the fact that some people will find excuses to get you out of their lives instead of talking to you and try solving the problem .
Answer: yes
Question: This is where the time your brain activity is more faster than your brain if it 's not sleeping .
Answer: no
Question: oh sorry I 'm such an idiot . "
Answer: | no
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Query: Find me information on sat
Clarification: do you need any specific information about sat grades | Yes | 0 | NIv2 | task227_clariq_classification | zs_opt | [
{
"content": "In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.\n\nQuery: Find me information on sat \n Clarification: do you need any specific information about sat grades",
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Query: Find me information on sat
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R & A: Using a handsaw to cut a tree branch in a wooded area does not imply making way for a new hiking path.
it is not possible to tell
Q: Can we conclude from "Man in jeans and a sweatshirt using a handsaw to cut a tree branch in a wooded area." that "A man cuts branches to make way for a new hiking path."?
Options:
- yes
- no
- it is not possible to tell
R & A: Men cannot be in board room and on sidewalk at the same time.
no
Q: Test for natural language inference.
Premise: "Two men stop on the sidewalk to chat as a third passes by."
Hypothesis: "Two men talk in the board room."
Is the hypothesis entailed by the premise?
Options:
- yes
- no
- it is not possible to tell
R & A: A boy in camouflage shorts and an orange shirt is someone is wearing striking clothing.
yes
Q: If "A boy in camouflage shorts and an orange shirt has his hat on backwards." does that mean that "A boy in striking clothing with backwards hat."?
Options:
- yes
- it is not possible to tell
- no
R & A: Not every man looking in windows is going to rob them.
it is not possible to tell
Q: | Can we conclude from "A man is looking in a row of windows outside by a trash dumpster." that "The man is looking for a place to rob."?
Options:
- yes
- no
- it is not possible to tell | 2 | CoT | cot_esnli_ii | fs_opt | [
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"content": "R & A: Using a handsaw to cut a tree branch in a wooded area does not imply making way for a new hiking path.\nit is not possible to tell\nQ: Can we conclude from \"Man in jeans and a sweatshirt using a handsaw to cut a tree branch in a wooded area.\" that \"A man cuts branches to make way for a new hiking path.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\n\nR & A: Men cannot be in board room and on sidewalk at the same time.\nno\nQ: Test for natural language inference.\nPremise: \"Two men stop on the sidewalk to chat as a third passes by.\"\nHypothesis: \"Two men talk in the board room.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- no\n- it is not possible to tell\n\nR & A: A boy in camouflage shorts and an orange shirt is someone is wearing striking clothing.\nyes\nQ: If \"A boy in camouflage shorts and an orange shirt has his hat on backwards.\" does that mean that \"A boy in striking clothing with backwards hat.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nR & A: Not every man looking in windows is going to rob them.\nit is not possible to tell\nQ:",
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"content": "Can we conclude from \"A man is looking in a row of windows outside by a trash dumpster.\" that \"The man is looking for a place to rob.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell",
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] | R & A: Using a handsaw to cut a tree branch in a wooded area does not imply making way for a new hiking path.
it is not possible to tell
Q: Can we conclude from "Man in jeans and a sweatshirt using a handsaw to cut a tree branch in a wooded area." that "A man cuts branches to make way for a new hiking path."?
Options:
- yes
- no
- it is not possible to tell
R & A: Men cannot be in board room and on sidewalk at the same time.
no
Q: Test for natural language inference.
Premise: "Two men stop on the sidewalk to chat as a third passes by."
Hypothesis: "Two men talk in the board room."
Is the hypothesis entailed by the premise?
Options:
- yes
- no
- it is not possible to tell
R & A: A boy in camouflage shorts and an orange shirt is someone is wearing striking clothing.
yes
Q: If "A boy in camouflage shorts and an orange shirt has his hat on backwards." does that mean that "A boy in striking clothing with backwards hat."?
Options:
- yes
- it is not possible to tell
- no
R & A: Not every man looking in windows is going to rob them.
it is not possible to tell
Q: | Can we conclude from "A man is looking in a row of windows outside by a trash dumpster." that "The man is looking for a place to rob."?
Options:
- yes
- no
- it is not possible to tell | [
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Ques: Is the following sentence factually correct?
"Giacomo Meyerbeer only liked to drink his milk from a bowl."
Options:
- yes
- no
Ans: I'm thinking hard. So here's my take: I think my sentence is false because there is no indication or proof/evidence of it being true. There is no reason to think it is true, so long as there is no evidence in favor of it. The answer is no.
---
Ques: Is the following statement true?
"American consuners are able to purchase Black pepper."
Ans: I'm thinking hard. So here's my take: Grocery stores in the United Stares sell black pepper. The answer is yes.
---
Ques: "It is very common for astronauts in the space station to eat fresh Atlantic salmon delivered to them every day by grub hub."
Is the above claim true?
Options:
- yes
- no
Ans: | I'm thinking hard. So here's my take: Grub hub does not deliver Atlantic salmon to the space station. The answer is no.
--- | 1 | CoT | cot_creak | fs_opt | [
{
"content": "Ques: Is the following sentence factually correct?\n\"Giacomo Meyerbeer only liked to drink his milk from a bowl.\"\nOptions:\n- yes\n- no\nAns: I'm thinking hard. So here's my take: I think my sentence is false because there is no indication or proof/evidence of it being true. There is no reason to think it is true, so long as there is no evidence in favor of it. The answer is no.\n---\nQues: Is the following statement true?\n\"American consuners are able to purchase Black pepper.\"\nAns: I'm thinking hard. So here's my take: Grocery stores in the United Stares sell black pepper. The answer is yes.\n---\nQues: \"It is very common for astronauts in the space station to eat fresh Atlantic salmon delivered to them every day by grub hub.\"\nIs the above claim true?\nOptions:\n- yes\n- no\nAns:",
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{
"content": "I'm thinking hard. So here's my take: Grub hub does not deliver Atlantic salmon to the space station. The answer is no.\n---",
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] | Ques: Is the following sentence factually correct?
"Giacomo Meyerbeer only liked to drink his milk from a bowl."
Options:
- yes
- no
Ans: I'm thinking hard. So here's my take: I think my sentence is false because there is no indication or proof/evidence of it being true. There is no reason to think it is true, so long as there is no evidence in favor of it. The answer is no.
---
Ques: Is the following statement true?
"American consuners are able to purchase Black pepper."
Ans: I'm thinking hard. So here's my take: Grocery stores in the United Stares sell black pepper. The answer is yes.
---
Ques: "It is very common for astronauts in the space station to eat fresh Atlantic salmon delivered to them every day by grub hub."
Is the above claim true?
Options:
- yes
- no
Ans: | I'm thinking hard. So here's my take: Grub hub does not deliver Atlantic salmon to the space station. The answer is no.
--- | [
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jgbXnQnrRF, GGjbXnQnUGu | bXnQn | 0 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
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Think slowly and carefully, before giving your answer. | Dosa are thin rice pancakes from South India. One dosa is approximately 110 calories. The average lumberjack would eat 8000 calories per day.
So, the answer is no. | 0 | CoT | cot_strategyqa | zs_opt | [
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Think slowly and carefully, before giving your answer. | Dosa are thin rice pancakes from South India. One dosa is approximately 110 calories. The average lumberjack would eat 8000 calories per day.
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Nevěřte, že Monty obsadí Cannes v den D.
Could you please translate this to English? | You can't depend on Monty taking Cannes by D-day. | 2 | Flan2021 | wmt16_translate/cs-en:1.0.0 | zs_opt | [
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"content": "Nevěřte, že Monty obsadí Cannes v den D.\n\nCould you please translate this to English?",
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Detailed Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Q: Statement1: Žena je izgubila svoje mjesto u redu.
Statement2: Izašla je iz reda.
A: | cause | 9 | NIv2 | task1629_copa_hr_classification | zs_opt | [
{
"content": "Detailed Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'\nQ: Statement1: Žena je izgubila svoje mjesto u redu.\nStatement2: Izašla je iz reda.\nA:",
"role": "user"
},
{
"content": "cause",
"role": "assistant"
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] | Detailed Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Q: Statement1: Žena je izgubila svoje mjesto u redu.
Statement2: Izašla je iz reda.
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Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Rio Ave też jest fajne ;) , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | 9 | NIv2 | task839_cdt_classification | zs_opt | [
{
"content": "Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.\nQ: Tweet: @anonymized_account Rio Ave też jest fajne ;) , Question: Does the tweet contain cyberbullying (harmful) content?\nA:",
"role": "user"
},
{
"content": "No",
"role": "assistant"
}
] | Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Rio Ave też jest fajne ;) , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | [
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Given the task definition, example input & output, solve the new input case.
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.
Example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Output: Tom had gone inside the store and now has fruit.
Tom must have been inside the store to come out, and have fruit, so the altered sentence aggrees with sentence 1.
New input case for you: Sentence 1: A man and a woman standing on the street, the woman is hugging the man while the man is yawning. Sentence 2: The man and the woman are sitting on the sidewalk.
Output: | The man and woman are outdoors. | 1 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
{
"content": "Given the task definition, example input & output, solve the new input case.\nIn 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.\nExample: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.\nOutput: Tom had gone inside the store and now has fruit.\nTom must have been inside the store to come out, and have fruit, so the altered sentence aggrees with sentence 1.\n\nNew input case for you: Sentence 1: A man and a woman standing on the street, the woman is hugging the man while the man is yawning. Sentence 2: The man and the woman are sitting on the sidewalk.\nOutput:",
"role": "user"
},
{
"content": "The man and woman are outdoors.",
"role": "assistant"
}
] | Given the task definition, example input & output, solve the new input case.
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.
Example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Output: Tom had gone inside the store and now has fruit.
Tom must have been inside the store to come out, and have fruit, so the altered sentence aggrees with sentence 1.
New input case for you: Sentence 1: A man and a woman standing on the street, the woman is hugging the man while the man is yawning. Sentence 2: The man and the woman are sitting on the sidewalk.
Output: | The man and woman are outdoors. | [
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Q: Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
The site collects something that uniquely identifies you for an additional (non-basic) service or feature. Collection happens when you explicitly provide information in an unspecified way for a user type outside of our label scheme, and your data is identifiable.
A: | Additional service/feature | 7 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
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"content": "Additional service/feature",
"role": "assistant"
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] | Q: Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
The site collects something that uniquely identifies you for an additional (non-basic) service or feature. Collection happens when you explicitly provide information in an unspecified way for a user type outside of our label scheme, and your data is identifiable.
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You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: What about if we use a big hammer and we swing it and we hit the nail like this, in the place of putting the hammer on the nail and pushing and try to put it in? That won't work.
A: | چی میشه اگر از یک چکش بزرگ استفاده کنیم که تابش بدیم و اینجوری به میخ بکوبیم تا به بخشی که میخ از چکش ضربه میخورد ، ضربه وارد شود و اون رو هل بده تا داخل بره ؟ ولی نه این روش جواب نمیده. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
{
"content": "You are given a sentence in English. Your job is to translate the English sentence into Persian.\nQ: What about if we use a big hammer and we swing it and we hit the nail like this, in the place of putting the hammer on the nail and pushing and try to put it in? That won't work.\nA: ",
"role": "user"
},
{
"content": "چی میشه اگر از یک چکش بزرگ استفاده کنیم که تابش بدیم و اینجوری به میخ بکوبیم تا به بخشی که میخ از چکش ضربه میخورد ، ضربه وارد شود و اون رو هل بده تا داخل بره ؟ ولی نه این روش جواب نمیده.",
"role": "assistant"
}
] | You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: What about if we use a big hammer and we swing it and we hit the nail like this, in the place of putting the hammer on the nail and pushing and try to put it in? That won't work.
A: | چی میشه اگر از یک چکش بزرگ استفاده کنیم که تابش بدیم و اینجوری به میخ بکوبیم تا به بخشی که میخ از چکش ضربه میخورد ، ضربه وارد شود و اون رو هل بده تا داخل بره ؟ ولی نه این روش جواب نمیده. | [
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Logic ==> Robots are non-living beings without emotions. Humans are living beings with emotions. Some people may act emotionless. However, people are humans.
human
Question ==> Sometimes people seem like robots, but really we're all just what?
Options:
- stupid
- inhumane
- human
- dangerous
- strange
Logic ==> Great outdoors is all of the wilderness. Most of the country has wilderness.
great outdoors
Question ==> Most of the country can be described as something. What can it be described as?
Options:
- continent
- region
- america
- great outdoors
- forests
Logic ==> Chatting with friends can be fun. Playing games can be fun. Fun means enjoyment.
fun
Question ==> | Chatting with friends and playing games is great what?
Options:
- floating
- laughter
- fun
- inspiration
- discomfort | 8 | CoT | cot_ecqa_ii | fs_opt | [
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"content": "Logic ==> Robots are non-living beings without emotions. Humans are living beings with emotions. Some people may act emotionless. However, people are humans.\nhuman\nQuestion ==> Sometimes people seem like robots, but really we're all just what?\nOptions:\n- stupid\n- inhumane\n- human\n- dangerous\n- strange\n\nLogic ==> Great outdoors is all of the wilderness. Most of the country has wilderness.\ngreat outdoors\nQuestion ==> Most of the country can be described as something. What can it be described as?\nOptions:\n- continent\n- region\n- america\n- great outdoors\n- forests\n\nLogic ==> Chatting with friends can be fun. Playing games can be fun. Fun means enjoyment.\nfun\nQuestion ==>",
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] | Logic ==> Robots are non-living beings without emotions. Humans are living beings with emotions. Some people may act emotionless. However, people are humans.
human
Question ==> Sometimes people seem like robots, but really we're all just what?
Options:
- stupid
- inhumane
- human
- dangerous
- strange
Logic ==> Great outdoors is all of the wilderness. Most of the country has wilderness.
great outdoors
Question ==> Most of the country can be described as something. What can it be described as?
Options:
- continent
- region
- america
- great outdoors
- forests
Logic ==> Chatting with friends can be fun. Playing games can be fun. Fun means enjoyment.
fun
Question ==> | Chatting with friends and playing games is great what?
Options:
- floating
- laughter
- fun
- inspiration
- discomfort | [
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- yes
- it is not possible to tell
- no Now, let's be accurate as possible. Some thinking first: | The màn stacking chairs does not imply he is cleaning after concert. So, the answer is it is not possible to tell. | 3 | CoT | cot_esnli | zs_opt | [
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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 an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['4317', 'B', 't', 'Y', 'W', '8443', '7341', 'f', '8703', '8579', 'b', '1737', 'Q', 'e', '957', '7867', 'o', 'h', 'C', '1251', 'X', '2433', 'Y', '3033', '2269', 'E', 't', '1197', '1957']
Output: | B, t, Y, W, f, b, Q, e, o, h, C, X, Y, E, t | 1 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | 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 an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.\n\n['4317', 'B', 't', 'Y', 'W', '8443', '7341', 'f', '8703', '8579', 'b', '1737', 'Q', 'e', '957', '7867', 'o', 'h', 'C', '1251', 'X', '2433', 'Y', '3033', '2269', 'E', 't', '1197', '1957']\nOutput:",
"role": "user"
},
{
"content": "B, t, Y, W, f, b, Q, e, o, h, C, X, Y, E, t",
"role": "assistant"
}
] | You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['4317', 'B', 't', 'Y', 'W', '8443', '7341', 'f', '8703', '8579', 'b', '1737', 'Q', 'e', '957', '7867', 'o', 'h', 'C', '1251', 'X', '2433', 'Y', '3033', '2269', 'E', 't', '1197', '1957']
Output: | B, t, Y, W, f, b, Q, e, o, h, C, X, Y, E, t | [
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Can we conclude from "Small puppy stands on top of plastic bag." that "A puppy makes a mess with a bag after getting in the trash."?
Options:
- yes
- no
- it is not possible to tell
it is not possible to tell
Explanation: He can't be seen in the trash or to have made a mess..
If "Two men in a room with yellow empty beds." does that mean that "Two men are preparing to sleep for the night."?
Options:
- yes
- it is not possible to tell
- no
it is not possible to tell
Explanation: Just because in room with empty beds does not mean they are preparing to sleep..
Test for natural language inference.
Premise: "Children and young adults in a room watching one girl play a game."
Hypothesis: "People are inside watching a girl."
Is the hypothesis entailed by the premise?
Options:
- yes
- no
- it is not possible to tell
yes
Explanation: Children and young adults in a room implies that they are inside..
Premise: "Two pedestrians passing a restaurant look at the dog that is looking at them."
Based on this premise, can we conclude that the hypothesis "People are thinking about taking a dog home." is true?
Options:
- yes
- it is not possible to tell
- no
| it is not possible to tell
Explanation: Just because pedestrians are looking at a dog looking at them that doesn't always mean they are thinking about taking a dog home.. | 9 | CoT | cot_esnli | fs_opt | [
{
"content": "Can we conclude from \"Small puppy stands on top of plastic bag.\" that \"A puppy makes a mess with a bag after getting in the trash.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\n\nit is not possible to tell\nExplanation: He can't be seen in the trash or to have made a mess..\n\nIf \"Two men in a room with yellow empty beds.\" does that mean that \"Two men are preparing to sleep for the night.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\nit is not possible to tell\nExplanation: Just because in room with empty beds does not mean they are preparing to sleep..\n\nTest for natural language inference.\nPremise: \"Children and young adults in a room watching one girl play a game.\"\nHypothesis: \"People are inside watching a girl.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- no\n- it is not possible to tell\n\nyes\nExplanation: Children and young adults in a room implies that they are inside..\n\nPremise: \"Two pedestrians passing a restaurant look at the dog that is looking at them.\"\nBased on this premise, can we conclude that the hypothesis \"People are thinking about taking a dog home.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\n\n",
"role": "user"
},
{
"content": "it is not possible to tell\nExplanation: Just because pedestrians are looking at a dog looking at them that doesn't always mean they are thinking about taking a dog home..",
"role": "assistant"
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] | Can we conclude from "Small puppy stands on top of plastic bag." that "A puppy makes a mess with a bag after getting in the trash."?
Options:
- yes
- no
- it is not possible to tell
it is not possible to tell
Explanation: He can't be seen in the trash or to have made a mess..
If "Two men in a room with yellow empty beds." does that mean that "Two men are preparing to sleep for the night."?
Options:
- yes
- it is not possible to tell
- no
it is not possible to tell
Explanation: Just because in room with empty beds does not mean they are preparing to sleep..
Test for natural language inference.
Premise: "Children and young adults in a room watching one girl play a game."
Hypothesis: "People are inside watching a girl."
Is the hypothesis entailed by the premise?
Options:
- yes
- no
- it is not possible to tell
yes
Explanation: Children and young adults in a room implies that they are inside..
Premise: "Two pedestrians passing a restaurant look at the dog that is looking at them."
Based on this premise, can we conclude that the hypothesis "People are thinking about taking a dog home." is true?
Options:
- yes
- it is not possible to tell
- no
| it is not possible to tell
Explanation: Just because pedestrians are looking at a dog looking at them that doesn't always mean they are thinking about taking a dog home.. | [
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Next Question: Premise: "A child is looking through a telescope."
Based on this premise, can we conclude that the hypothesis "A child is hamming hits." is true?
Options:
- yes
- it is not possible to tell
- no
My Answer: Let's think. One can not be hamming HITs and looking through a telescope simultaneously. The answer is no.
Next Question: Can we conclude from "A young girl is sucking on a lollipop as she walks between two cars." that "Girl sucking strawberry lollipop."?
Options:
- yes
- no
- it is not possible to tell
My Answer: Let's think. Sucking a lollipop does not imply that the lollipop is strawberry flavored. The answer is it is not possible to tell.
Next Question: If "A guy in a tan." does that mean that "Long-sleeve tee poses for a picture."?
Options:
- yes
- it is not possible to tell
- no
My Answer: Let's think. A guy is posing for a picture so he can be a fashion model. The answer is it is not possible to tell.
Next Question: Can we conclude from "A man and a woman are smelling the contents of opaque white jars." that "A man and women are smelling what is in a jar."?
Options:
- yes
- no
- it is not possible to tell
My Answer: | Let's think. Smelling the contents would be directly implying smelling what is in the jars. The answer is yes. | 5 | CoT | cot_esnli | fs_opt | [
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"content": "Next Question: Premise: \"A child is looking through a telescope.\"\nBased on this premise, can we conclude that the hypothesis \"A child is hamming hits.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\nMy Answer: Let's think. One can not be hamming HITs and looking through a telescope simultaneously. The answer is no.\n\nNext Question: Can we conclude from \"A young girl is sucking on a lollipop as she walks between two cars.\" that \"Girl sucking strawberry lollipop.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\nMy Answer: Let's think. Sucking a lollipop does not imply that the lollipop is strawberry flavored. The answer is it is not possible to tell.\n\nNext Question: If \"A guy in a tan.\" does that mean that \"Long-sleeve tee poses for a picture.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\nMy Answer: Let's think. A guy is posing for a picture so he can be a fashion model. The answer is it is not possible to tell.\n\nNext Question: Can we conclude from \"A man and a woman are smelling the contents of opaque white jars.\" that \"A man and women are smelling what is in a jar.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\nMy Answer:",
"role": "user"
},
{
"content": "Let's think. Smelling the contents would be directly implying smelling what is in the jars. The answer is yes.",
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] | Next Question: Premise: "A child is looking through a telescope."
Based on this premise, can we conclude that the hypothesis "A child is hamming hits." is true?
Options:
- yes
- it is not possible to tell
- no
My Answer: Let's think. One can not be hamming HITs and looking through a telescope simultaneously. The answer is no.
Next Question: Can we conclude from "A young girl is sucking on a lollipop as she walks between two cars." that "Girl sucking strawberry lollipop."?
Options:
- yes
- no
- it is not possible to tell
My Answer: Let's think. Sucking a lollipop does not imply that the lollipop is strawberry flavored. The answer is it is not possible to tell.
Next Question: If "A guy in a tan." does that mean that "Long-sleeve tee poses for a picture."?
Options:
- yes
- it is not possible to tell
- no
My Answer: Let's think. A guy is posing for a picture so he can be a fashion model. The answer is it is not possible to tell.
Next Question: Can we conclude from "A man and a woman are smelling the contents of opaque white jars." that "A man and women are smelling what is in a jar."?
Options:
- yes
- no
- it is not possible to tell
My Answer: | Let's think. Smelling the contents would be directly implying smelling what is in the jars. The answer is yes. | [
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Stream of consciousness rationale: The Hulk is a Marvel comics character. The Hulk is said to be around 8 feet tall and weigh around 1400 pounds. An African elephant can carry up to 9,000 kg, or 19,841 pounds.
The question and answer pair are described below. | Q: Hypothetically, will an African elephant be crushed by Hulk on its back?
A: no | 14 | CoT | cot_strategyqa_ii | zs_opt | [
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"content": "Stream of consciousness rationale: The Hulk is a Marvel comics character. The Hulk is said to be around 8 feet tall and weigh around 1400 pounds. An African elephant can carry up to 9,000 kg, or 19,841 pounds.\nThe question and answer pair are described below.",
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"content": "Q: Hypothetically, will an African elephant be crushed by Hulk on its back?\nA: no",
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] | Stream of consciousness rationale: The Hulk is a Marvel comics character. The Hulk is said to be around 8 feet tall and weigh around 1400 pounds. An African elephant can carry up to 9,000 kg, or 19,841 pounds.
The question and answer pair are described below. | Q: Hypothetically, will an African elephant be crushed by Hulk on its back?
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You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
[Q]: Ma, guardiamo come risolvono il problema della lingua inglese i bambini.
[A]: Jak dzieci pokonują barierę językową?
[Q]: Penso che Galileo abbia definito, elegantemente, il potere della matematica per comprendere il mondo scientifico attorno a noi.
[A]: Galileusz dobrze podsumował jak matematyka może pomóc zrozumieć świat nauki.
[Q]: Non che sia poi così particolarmente bella quando la guardi con l'occhio umano, la forma delle foglie. Si stanno arrotolando l'una sull'altra.
[A]: | To szczególnie urzekające. Patrząc nieuzbrojonym okiem, widać strukturę liści. Zawijają się.
| 5 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
{
"content": "You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.\n\n[Q]: Ma, guardiamo come risolvono il problema della lingua inglese i bambini.\n[A]: Jak dzieci pokonują barierę językową?\n\n\n[Q]: Penso che Galileo abbia definito, elegantemente, il potere della matematica per comprendere il mondo scientifico attorno a noi.\n[A]: Galileusz dobrze podsumował jak matematyka może pomóc zrozumieć świat nauki.\n\n\n[Q]: Non che sia poi così particolarmente bella quando la guardi con l'occhio umano, la forma delle foglie. Si stanno arrotolando l'una sull'altra.\n[A]:",
"role": "user"
},
{
"content": "To szczególnie urzekające. Patrząc nieuzbrojonym okiem, widać strukturę liści. Zawijają się.\n\n\n",
"role": "assistant"
}
] | You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
[Q]: Ma, guardiamo come risolvono il problema della lingua inglese i bambini.
[A]: Jak dzieci pokonują barierę językową?
[Q]: Penso che Galileo abbia definito, elegantemente, il potere della matematica per comprendere il mondo scientifico attorno a noi.
[A]: Galileusz dobrze podsumował jak matematyka może pomóc zrozumieć świat nauki.
[Q]: Non che sia poi così particolarmente bella quando la guardi con l'occhio umano, la forma delle foglie. Si stanno arrotolando l'una sull'altra.
[A]: | To szczególnie urzekające. Patrząc nieuzbrojonym okiem, widać strukturę liści. Zawijają się.
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Explain simply why yes is the correct answer to: If "A baseball player in a white uniform is walking to base while a crowd of people watch from the bleachers." does that mean that "The player is wearing white."?
Options:
- yes
- it is not possible to tell
- no. Explanation: | To be in a white uniform is the same as wearing white. | 12 | CoT | cot_esnli_ii | zs_opt | [
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"content": "Explain simply why yes is the correct answer to: If \"A baseball player in a white uniform is walking to base while a crowd of people watch from the bleachers.\" does that mean that \"The player is wearing white.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no. Explanation:",
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] | Explain simply why yes is the correct answer to: If "A baseball player in a white uniform is walking to base while a crowd of people watch from the bleachers." does that mean that "The player is wearing white."?
Options:
- yes
- it is not possible to tell
- no. Explanation: | To be in a white uniform is the same as wearing white. | [
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Teacher: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Teacher: Now, understand the problem? If you are still confused, see the following example:
आप एक जूरी नहीं करना चाहते हैं तो आप एक वकील बनना चाहिए.
Solution: आप एक जूरी जीतने के लिए जीते हैं तो आप एक राजा बनना चाहिए.
Reason: This is the good example. The created sentence is semantically similar to the input as both are talking about what to become if one doesn’t want to become the jury and the changes in the sentence follows the commonsense knowledge.
Now, solve this instance: आप अपने पैर की छत की रक्षा करने के लिए एक बुआ का उपयोग कर सकते हैं.
Student: | आप एक रोलर का उपयोग कर सकते हैं अपने पैर की छत की रक्षा करने के लिए. | 2 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
{
"content": "Teacher: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nआप एक जूरी नहीं करना चाहते हैं तो आप एक वकील बनना चाहिए.\nSolution: आप एक जूरी जीतने के लिए जीते हैं तो आप एक राजा बनना चाहिए.\nReason: This is the good example. The created sentence is semantically similar to the input as both are talking about what to become if one doesn’t want to become the jury and the changes in the sentence follows the commonsense knowledge.\n\nNow, solve this instance: आप अपने पैर की छत की रक्षा करने के लिए एक बुआ का उपयोग कर सकते हैं.\nStudent:",
"role": "user"
},
{
"content": "आप एक रोलर का उपयोग कर सकते हैं अपने पैर की छत की रक्षा करने के लिए.",
"role": "assistant"
}
] | Teacher: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Teacher: Now, understand the problem? If you are still confused, see the following example:
आप एक जूरी नहीं करना चाहते हैं तो आप एक वकील बनना चाहिए.
Solution: आप एक जूरी जीतने के लिए जीते हैं तो आप एक राजा बनना चाहिए.
Reason: This is the good example. The created sentence is semantically similar to the input as both are talking about what to become if one doesn’t want to become the jury and the changes in the sentence follows the commonsense knowledge.
Now, solve this instance: आप अपने पैर की छत की रक्षा करने के लिए एक बुआ का उपयोग कर सकते हैं.
Student: | आप एक रोलर का उपयोग कर सकते हैं अपने पैर की छत की रक्षा करने के लिए. | [
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Part 1. Definition
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Part 2. Example
Beginning: Helen lived in the state of Washington. Ending: Helen stayed home instead and planned to go another day.
Answer: Helen planned to drive to Canada but it started snowing heavily.
Explanation: Generally, people prefer not to drive in bad weather.
Part 3. Exercise
Beginning: Yesterday Tim got a new haircut. Ending: But then he remembered his opinion was the only one that mattered.
Answer: | No one complimented Tim's haircut. | 7 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
{
"content": "Part 1. Definition\nIn this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.\nPart 2. Example\nBeginning: Helen lived in the state of Washington. Ending: Helen stayed home instead and planned to go another day.\nAnswer: Helen planned to drive to Canada but it started snowing heavily.\nExplanation: Generally, people prefer not to drive in bad weather.\nPart 3. Exercise\nBeginning: Yesterday Tim got a new haircut. Ending: But then he remembered his opinion was the only one that mattered.\nAnswer:",
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"content": "No one complimented Tim's haircut.",
"role": "assistant"
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] | Part 1. Definition
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Part 2. Example
Beginning: Helen lived in the state of Washington. Ending: Helen stayed home instead and planned to go another day.
Answer: Helen planned to drive to Canada but it started snowing heavily.
Explanation: Generally, people prefer not to drive in bad weather.
Part 3. Exercise
Beginning: Yesterday Tim got a new haircut. Ending: But then he remembered his opinion was the only one that mattered.
Answer: | No one complimented Tim's haircut. | [
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Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Problem:Executive Pay by the Numbers
Here are the 200 most highly-paid chief executives at U.S. public companies in 2013. The list, compiled by Equilar, an executive compensation data firm, includes only those companies with revenue over $1 billion that had reported through May 31 of this year. Compensation comprises salary, cash bonuses, perks and other forms of cash, and stock and stock options. ||||| Photo by Danny Moloshok/Reuters
It’s not exactly news that CEOs of big companies get paid a lot of money. And everyone knows that the pay gap between the big executives and the average Joe has been growing. The surprise revealed in a great new database of executive compensation—compiled by Equilar on behalf of the New York Times and covering U.S. firms with more than $1 billion in revenue—is the striking lack of method to the madness: America’s CEOs are paid a lot largely because other American CEOs are also paid a lot.
Philippe Dauman of Viacom, for example, is a very rich man—which is what you’d assume about the CEO of a major media firm, with the 100th highest amount of revenue of any publicly traded American company. Dauman brought in $33.4 million in salary, bonuses, perks, stock, and options in 2012. Nice work if you can get it. But then again, there’s Leslie Moonves of CBS. He’s also a very rich man. Given Dauman’s wealth, that’s exactly what you’d expect of the CEO of another large American media company. What you might not expect is that, even though Moonves’ firm is just two spots ahead of Dauman’s on the revenue rank order, Moonves made nearly twice what Dauman did last year: $60.3 million.
Lurking between Moonves and Dauman on the executive pay list is Disney’s Robert Iger, who brought in $37.1 million in 2012. Disney, which is more than twice as big as CBS or Viacom, had $42.3 billion in 2012 revenue, and its stock did better than the other companies in 2012, too.
Advertisement
So is Iger underpaid? Or perhaps Moonves is overpaid? Nobody knows.
It would be wrong to say that compensation for America’s chief executives is handed out randomly, but there’s certainly no clear link to corporate performance, and even the link to corporate size is surprisingly vague. But there are patterns. Despite the seemingly scattershot nature of the pay packages for Dauman, Moonves, and Iger, the one thing they have in common is that they’re all very well-paid—not just compared to the average American, but compared to the average CEO. And that’s the case throughout the media industry, where executive pay is high compared to what you see in other sectors.
This reflects the fact that nobody really knows how to judge a CEO’s worth. Since the executive is hired by a board of directors that’s theoretically accountable to a company’s shareholders, it seems like CEO pay should have something to do with stock price. But nobody wants a CEO to focus exclusively on short-term stock issues and ignore the firm’s long-term strategic position. And even if you do focus on share prices, what’s the relevant issue? Absolute return? Returns relative to the market as a whole? Returns relative to the sector? Tim Cook’s compensation at Apple was recently restructured to emphasize Apple’s share price relative to the S&P 500, which in some ways hitches him less to how well Apple fares against its competition than to how investors view the technology sector as a whole. There’s enough ambiguity that you could argue a given case in many different ways.
In practice, norms tend to dominate. Media CEOs are very highly paid because so are other media CEOs. Nationality matters, too. On the one hand, it might seem strange that John Watson of oil giant Chevron was paid “only” $22.3 million in 2012—less than the CEOs of CBS or Viacom, even though his company is much bigger than either. On the other hand, compare Watson to the CEO of the similarly sized French oil giant Total S.A.: poor Christophe de Margerie earned a mere $3 million in 2011 (the most recent year for which numbers are available). That same year, Watson brought home $18.1 million. The reason for this is both mysterious and epically clear—American chief executives are systematically better paid than CEOs from continental Europe or Japan. CEOs of U.K., Canadian, and other Anglophone firms tend to earn at close to American levels.
Advertisement
These kind of local differences matter so much because, as Ray Fisman has explained for Slate, executive compensation decisions are typically made by peer group comparisons. Media CEOs are compared to other media CEOs and oil executives to other oilmen.
American executives argue—conveniently enough—that their compensation should be compared to what other American executives are paid. This argument has tended to be persuasive to American boards, which—conveniently enough—are made up primarily of American corporate executives. And big American investment management firms—also led by American corporate executives—likewise think this makes sense. Which is all quite nice, but if you tried convincing one of these very same executives that he shouldn’t replace an American factory worker with a cheaper Chinese one, he would laugh you out of the room.
Apologists for this arrangement, such as the University of Chicago’s Steven Kaplan, argue that pay for U.S. CEOs has merely risen in line with pay for other kinds of very highly compensated individuals. Others dispute this math, but one might also dispute its relevance. It is true to some extent that America’s unusually well-paid CEOs are matched by an unusually large and aggressive financial sector and an unusually lucrative legal profession. Compared to the United States, continental Europe and Japan rely much less on lawsuits and much more on preventative regulation. They’re also much less gung-ho about the nonbank financial institutions—hedge funds and private equity shops—that provide for a very large share of the non-CEO element of the superrich. |||||
Solution: | It's not exactly breaking news that CEOs make a ton of money. But as Matthew Yglesias at Slate looked through a new database of CEO pay, he also noticed that CEOs' paydays are incredibly arbitrary; there's "certainly no clear link to corporate performance." But there are some constants, like this fascinating one: American CEOs get paid wildly more than their counterparts overseas. Chevron CEO John Watson, for instance, makes $22.3 million, while the head of a similarly sized French oil giant makes only $3 million. American CEOs argue that their pay should be compared to other American CEOs, which is fine by most American boards, "which—conveniently enough—are made up primarily of American corporate executives. … Which is all quite nice, but if you tried convincing one of these very same executives that he shouldn't replace an American factory worker with a cheaper Chinese one, he would laugh you out of the room." CEO pay is a sea of "nonsensical gaps," with compensation chugging ever higher. This should worry us, writes Yglesias. Click for his full column, which specially zeroes in on media CEOs. | 8 | NIv2 | task1291_multi_news_summarization | zs_opt | [
{
"content": "Detailed Instructions: In this task, you are given a text of many news articles seperated by special token \"|||||\". Your task is to summarize them.\nProblem:Executive Pay by the Numbers \n \n Here are the 200 most highly-paid chief executives at U.S. public companies in 2013. The list, compiled by Equilar, an executive compensation data firm, includes only those companies with revenue over $1 billion that had reported through May 31 of this year. Compensation comprises salary, cash bonuses, perks and other forms of cash, and stock and stock options. ||||| Photo by Danny Moloshok/Reuters \n \n It’s not exactly news that CEOs of big companies get paid a lot of money. And everyone knows that the pay gap between the big executives and the average Joe has been growing. The surprise revealed in a great new database of executive compensation—compiled by Equilar on behalf of the New York Times and covering U.S. firms with more than $1 billion in revenue—is the striking lack of method to the madness: America’s CEOs are paid a lot largely because other American CEOs are also paid a lot. \n \n Philippe Dauman of Viacom, for example, is a very rich man—which is what you’d assume about the CEO of a major media firm, with the 100th highest amount of revenue of any publicly traded American company. Dauman brought in $33.4 million in salary, bonuses, perks, stock, and options in 2012. Nice work if you can get it. But then again, there’s Leslie Moonves of CBS. He’s also a very rich man. Given Dauman’s wealth, that’s exactly what you’d expect of the CEO of another large American media company. What you might not expect is that, even though Moonves’ firm is just two spots ahead of Dauman’s on the revenue rank order, Moonves made nearly twice what Dauman did last year: $60.3 million. \n \n Lurking between Moonves and Dauman on the executive pay list is Disney’s Robert Iger, who brought in $37.1 million in 2012. Disney, which is more than twice as big as CBS or Viacom, had $42.3 billion in 2012 revenue, and its stock did better than the other companies in 2012, too. \n \n Advertisement \n \n \n \n So is Iger underpaid? Or perhaps Moonves is overpaid? Nobody knows. \n \n It would be wrong to say that compensation for America’s chief executives is handed out randomly, but there’s certainly no clear link to corporate performance, and even the link to corporate size is surprisingly vague. But there are patterns. Despite the seemingly scattershot nature of the pay packages for Dauman, Moonves, and Iger, the one thing they have in common is that they’re all very well-paid—not just compared to the average American, but compared to the average CEO. And that’s the case throughout the media industry, where executive pay is high compared to what you see in other sectors. \n \n This reflects the fact that nobody really knows how to judge a CEO’s worth. Since the executive is hired by a board of directors that’s theoretically accountable to a company’s shareholders, it seems like CEO pay should have something to do with stock price. But nobody wants a CEO to focus exclusively on short-term stock issues and ignore the firm’s long-term strategic position. And even if you do focus on share prices, what’s the relevant issue? Absolute return? Returns relative to the market as a whole? Returns relative to the sector? Tim Cook’s compensation at Apple was recently restructured to emphasize Apple’s share price relative to the S&P 500, which in some ways hitches him less to how well Apple fares against its competition than to how investors view the technology sector as a whole. There’s enough ambiguity that you could argue a given case in many different ways. \n \n In practice, norms tend to dominate. Media CEOs are very highly paid because so are other media CEOs. Nationality matters, too. On the one hand, it might seem strange that John Watson of oil giant Chevron was paid “only” $22.3 million in 2012—less than the CEOs of CBS or Viacom, even though his company is much bigger than either. On the other hand, compare Watson to the CEO of the similarly sized French oil giant Total S.A.: poor Christophe de Margerie earned a mere $3 million in 2011 (the most recent year for which numbers are available). That same year, Watson brought home $18.1 million. The reason for this is both mysterious and epically clear—American chief executives are systematically better paid than CEOs from continental Europe or Japan. CEOs of U.K., Canadian, and other Anglophone firms tend to earn at close to American levels. \n \n Advertisement \n \n \n \n These kind of local differences matter so much because, as Ray Fisman has explained for Slate, executive compensation decisions are typically made by peer group comparisons. Media CEOs are compared to other media CEOs and oil executives to other oilmen. \n \n American executives argue—conveniently enough—that their compensation should be compared to what other American executives are paid. This argument has tended to be persuasive to American boards, which—conveniently enough—are made up primarily of American corporate executives. And big American investment management firms—also led by American corporate executives—likewise think this makes sense. Which is all quite nice, but if you tried convincing one of these very same executives that he shouldn’t replace an American factory worker with a cheaper Chinese one, he would laugh you out of the room. \n \n Apologists for this arrangement, such as the University of Chicago’s Steven Kaplan, argue that pay for U.S. CEOs has merely risen in line with pay for other kinds of very highly compensated individuals. Others dispute this math, but one might also dispute its relevance. It is true to some extent that America’s unusually well-paid CEOs are matched by an unusually large and aggressive financial sector and an unusually lucrative legal profession. Compared to the United States, continental Europe and Japan rely much less on lawsuits and much more on preventative regulation. They’re also much less gung-ho about the nonbank financial institutions—hedge funds and private equity shops—that provide for a very large share of the non-CEO element of the superrich. |||||\nSolution:",
"role": "user"
},
{
"content": "It's not exactly breaking news that CEOs make a ton of money. But as Matthew Yglesias at Slate looked through a new database of CEO pay, he also noticed that CEOs' paydays are incredibly arbitrary; there's \"certainly no clear link to corporate performance.\" But there are some constants, like this fascinating one: American CEOs get paid wildly more than their counterparts overseas. Chevron CEO John Watson, for instance, makes $22.3 million, while the head of a similarly sized French oil giant makes only $3 million. American CEOs argue that their pay should be compared to other American CEOs, which is fine by most American boards, \"which—conveniently enough—are made up primarily of American corporate executives. … Which is all quite nice, but if you tried convincing one of these very same executives that he shouldn't replace an American factory worker with a cheaper Chinese one, he would laugh you out of the room.\" CEO pay is a sea of \"nonsensical gaps,\" with compensation chugging ever higher. This should worry us, writes Yglesias. Click for his full column, which specially zeroes in on media CEOs.",
"role": "assistant"
}
] | Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Problem:Executive Pay by the Numbers
Here are the 200 most highly-paid chief executives at U.S. public companies in 2013. The list, compiled by Equilar, an executive compensation data firm, includes only those companies with revenue over $1 billion that had reported through May 31 of this year. Compensation comprises salary, cash bonuses, perks and other forms of cash, and stock and stock options. ||||| Photo by Danny Moloshok/Reuters
It’s not exactly news that CEOs of big companies get paid a lot of money. And everyone knows that the pay gap between the big executives and the average Joe has been growing. The surprise revealed in a great new database of executive compensation—compiled by Equilar on behalf of the New York Times and covering U.S. firms with more than $1 billion in revenue—is the striking lack of method to the madness: America’s CEOs are paid a lot largely because other American CEOs are also paid a lot.
Philippe Dauman of Viacom, for example, is a very rich man—which is what you’d assume about the CEO of a major media firm, with the 100th highest amount of revenue of any publicly traded American company. Dauman brought in $33.4 million in salary, bonuses, perks, stock, and options in 2012. Nice work if you can get it. But then again, there’s Leslie Moonves of CBS. He’s also a very rich man. Given Dauman’s wealth, that’s exactly what you’d expect of the CEO of another large American media company. What you might not expect is that, even though Moonves’ firm is just two spots ahead of Dauman’s on the revenue rank order, Moonves made nearly twice what Dauman did last year: $60.3 million.
Lurking between Moonves and Dauman on the executive pay list is Disney’s Robert Iger, who brought in $37.1 million in 2012. Disney, which is more than twice as big as CBS or Viacom, had $42.3 billion in 2012 revenue, and its stock did better than the other companies in 2012, too.
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So is Iger underpaid? Or perhaps Moonves is overpaid? Nobody knows.
It would be wrong to say that compensation for America’s chief executives is handed out randomly, but there’s certainly no clear link to corporate performance, and even the link to corporate size is surprisingly vague. But there are patterns. Despite the seemingly scattershot nature of the pay packages for Dauman, Moonves, and Iger, the one thing they have in common is that they’re all very well-paid—not just compared to the average American, but compared to the average CEO. And that’s the case throughout the media industry, where executive pay is high compared to what you see in other sectors.
This reflects the fact that nobody really knows how to judge a CEO’s worth. Since the executive is hired by a board of directors that’s theoretically accountable to a company’s shareholders, it seems like CEO pay should have something to do with stock price. But nobody wants a CEO to focus exclusively on short-term stock issues and ignore the firm’s long-term strategic position. And even if you do focus on share prices, what’s the relevant issue? Absolute return? Returns relative to the market as a whole? Returns relative to the sector? Tim Cook’s compensation at Apple was recently restructured to emphasize Apple’s share price relative to the S&P 500, which in some ways hitches him less to how well Apple fares against its competition than to how investors view the technology sector as a whole. There’s enough ambiguity that you could argue a given case in many different ways.
In practice, norms tend to dominate. Media CEOs are very highly paid because so are other media CEOs. Nationality matters, too. On the one hand, it might seem strange that John Watson of oil giant Chevron was paid “only” $22.3 million in 2012—less than the CEOs of CBS or Viacom, even though his company is much bigger than either. On the other hand, compare Watson to the CEO of the similarly sized French oil giant Total S.A.: poor Christophe de Margerie earned a mere $3 million in 2011 (the most recent year for which numbers are available). That same year, Watson brought home $18.1 million. The reason for this is both mysterious and epically clear—American chief executives are systematically better paid than CEOs from continental Europe or Japan. CEOs of U.K., Canadian, and other Anglophone firms tend to earn at close to American levels.
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These kind of local differences matter so much because, as Ray Fisman has explained for Slate, executive compensation decisions are typically made by peer group comparisons. Media CEOs are compared to other media CEOs and oil executives to other oilmen.
American executives argue—conveniently enough—that their compensation should be compared to what other American executives are paid. This argument has tended to be persuasive to American boards, which—conveniently enough—are made up primarily of American corporate executives. And big American investment management firms—also led by American corporate executives—likewise think this makes sense. Which is all quite nice, but if you tried convincing one of these very same executives that he shouldn’t replace an American factory worker with a cheaper Chinese one, he would laugh you out of the room.
Apologists for this arrangement, such as the University of Chicago’s Steven Kaplan, argue that pay for U.S. CEOs has merely risen in line with pay for other kinds of very highly compensated individuals. Others dispute this math, but one might also dispute its relevance. It is true to some extent that America’s unusually well-paid CEOs are matched by an unusually large and aggressive financial sector and an unusually lucrative legal profession. Compared to the United States, continental Europe and Japan rely much less on lawsuits and much more on preventative regulation. They’re also much less gung-ho about the nonbank financial institutions—hedge funds and private equity shops—that provide for a very large share of the non-CEO element of the superrich. |||||
Solution: | It's not exactly breaking news that CEOs make a ton of money. But as Matthew Yglesias at Slate looked through a new database of CEO pay, he also noticed that CEOs' paydays are incredibly arbitrary; there's "certainly no clear link to corporate performance." But there are some constants, like this fascinating one: American CEOs get paid wildly more than their counterparts overseas. Chevron CEO John Watson, for instance, makes $22.3 million, while the head of a similarly sized French oil giant makes only $3 million. American CEOs argue that their pay should be compared to other American CEOs, which is fine by most American boards, "which—conveniently enough—are made up primarily of American corporate executives. … Which is all quite nice, but if you tried convincing one of these very same executives that he shouldn't replace an American factory worker with a cheaper Chinese one, he would laugh you out of the room." CEO pay is a sea of "nonsensical gaps," with compensation chugging ever higher. This should worry us, writes Yglesias. Click for his full column, which specially zeroes in on media CEOs. | [
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Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
See one example below:
Problem: You could have over a hundred million followers and still not a genuine person who understands you or wants to #cantshakethis #sadness
Solution: Sad
Explanation: The tweet author is sad because they think no one understands them.
Problem: Depression sucks #getHelp
Solution: | Sad | 4 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
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] | Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
See one example below:
Problem: You could have over a hundred million followers and still not a genuine person who understands you or wants to #cantshakethis #sadness
Solution: Sad
Explanation: The tweet author is sad because they think no one understands them.
Problem: Depression sucks #getHelp
Solution: | Sad | [
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Q: Does the following sentence make sense?
"Snipers provide the country's security by patrolling the country's waters in submarines."
Options:
- yes
- no
Chain-of-thought: | This is false because snipers are mostly located on land and not in sea. The answer: no. | 3 | CoT | cot_creak | zs_opt | [
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"Snipers provide the country's security by patrolling the country's waters in submarines."
Options:
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Chain-of-thought: | This is false because snipers are mostly located on land and not in sea. The answer: no. | [
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You are given a statement in Croatian, a question word and four choices in Croation. If the question word is "cause", you should choose the option that is most likely to be the cause of the statement. If the question word is "effect", you should pick the choice that is most likely to be a consequence of the statement. Write the exact text of the choice, not the number.
[Q]: Statement: U gradu je napadalo mnogo snijega.
Question: effect
Choice 1: Sok je ishlapio.
Choice 2: Pacifisti su organizirali prosvjed.
Choice 3: Škole su se zatvorile.
Choice 4: Ljudi su se skrili pod zemlju.
[A]: Škole su se zatvorile.
[Q]: Statement: Ptica nije mogla letjeti.
Question: cause
Choice 1: Ozlijedila si je krilo.
Choice 2: Bilo je maglovito.
Choice 3: Nazvao sam policiju.
Choice 4: Migrirala je preko zime.
[A]: Ozlijedila si je krilo.
[Q]: Statement: Vandali su bacili kamen u prozor.
Question: effect
Choice 1: Sestra ga je cinkala.
Choice 2: Prozor se zamaglio.
Choice 3: Prozor je napukao.
Choice 4: Djevojka se našminkala.
[A]: | Prozor je napukao.
| 5 | NIv2 | task1628_copa_hr_question_answering | fs_opt | [
{
"content": "You are given a statement in Croatian, a question word and four choices in Croation. If the question word is \"cause\", you should choose the option that is most likely to be the cause of the statement. If the question word is \"effect\", you should pick the choice that is most likely to be a consequence of the statement. Write the exact text of the choice, not the number.\n\n[Q]: Statement: U gradu je napadalo mnogo snijega.\nQuestion: effect\nChoice 1: Sok je ishlapio.\nChoice 2: Pacifisti su organizirali prosvjed.\nChoice 3: Škole su se zatvorile.\nChoice 4: Ljudi su se skrili pod zemlju.\n[A]: Škole su se zatvorile.\n\n\n[Q]: Statement: Ptica nije mogla letjeti.\nQuestion: cause\nChoice 1: Ozlijedila si je krilo.\nChoice 2: Bilo je maglovito.\nChoice 3: Nazvao sam policiju.\nChoice 4: Migrirala je preko zime.\n[A]: Ozlijedila si je krilo.\n\n\n[Q]: Statement: Vandali su bacili kamen u prozor.\nQuestion: effect\nChoice 1: Sestra ga je cinkala.\nChoice 2: Prozor se zamaglio.\nChoice 3: Prozor je napukao.\nChoice 4: Djevojka se našminkala.\n[A]:",
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},
{
"content": "Prozor je napukao.\n\n\n",
"role": "assistant"
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[Q]: Statement: U gradu je napadalo mnogo snijega.
Question: effect
Choice 1: Sok je ishlapio.
Choice 2: Pacifisti su organizirali prosvjed.
Choice 3: Škole su se zatvorile.
Choice 4: Ljudi su se skrili pod zemlju.
[A]: Škole su se zatvorile.
[Q]: Statement: Ptica nije mogla letjeti.
Question: cause
Choice 1: Ozlijedila si je krilo.
Choice 2: Bilo je maglovito.
Choice 3: Nazvao sam policiju.
Choice 4: Migrirala je preko zime.
[A]: Ozlijedila si je krilo.
[Q]: Statement: Vandali su bacili kamen u prozor.
Question: effect
Choice 1: Sestra ga je cinkala.
Choice 2: Prozor se zamaglio.
Choice 3: Prozor je napukao.
Choice 4: Djevojka se našminkala.
[A]: | Prozor je napukao.
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Options:
- yes
- no
- it is not possible to tell Let's be accurate as possible and think first. | The kids wouldn't be jumping on the beach if they were in a hurricane. Final answer: no. | 6 | CoT | cot_esnli | zs_opt | [
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- yes
- no
- it is not possible to tell Let's be accurate as possible and think first. | The kids wouldn't be jumping on the beach if they were in a hurricane. Final answer: no. | [
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Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Input: Context Word: intimidated.
Output: | Sentence 1: People at the meeting felt more intimidated by PersonX than by PersonY, because _ was more powerful.
Sentence 2: People at the meeting felt more intimidated by PersonX than by PersonY, because _ was more meek. | 3 | NIv2 | task030_winogrande_full_person | zs_opt | [
{
"content": "Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., \"sympathetic\" and \"stern\") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.\nInput: Context Word: intimidated.\nOutput:",
"role": "user"
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{
"content": "Sentence 1: People at the meeting felt more intimidated by PersonX than by PersonY, because _ was more powerful. \nSentence 2: People at the meeting felt more intimidated by PersonX than by PersonY, because _ was more meek.",
"role": "assistant"
}
] | Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Input: Context Word: intimidated.
Output: | Sentence 1: People at the meeting felt more intimidated by PersonX than by PersonY, because _ was more powerful.
Sentence 2: People at the meeting felt more intimidated by PersonX than by PersonY, because _ was more meek. | [
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Subsets and Splits