ID stringlengths 26 105 | messages listlengths 2 2 |
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flan-NIv2-task221_rocstories_two_choice_classification-fs_opt-11 | [
{
"content": "In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note ... |
flan-NIv2-task324_jigsaw_classification_disagree-fs_opt-19 | [
{
"content": "In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be ... |
flan-NIv2-task853_hippocorpus_long_text_generation-zs_opt-12 | [
{
"content": "Read the given summary of events, and write a longer story which covers everything described in the summary. The story you write should be longer than the summary you read, but should not repeat itself. The story should be made up of sentences which form a cohesive and logical sequence of events, ... |
flan-NIv2-task159_check_frequency_of_words_in_sentence_pair-zs_opt-6 | [
{
"content": "Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.\nInput: Sentence1: 'a girl wearing a hat and dress while holding a purse that looks like a clock', Sentence2: 'a beautiful blonde girl standing next to a blonder'. Is the fr... |
flan-NIv2-task087_new_operator_addsub_arithmetic-zs_opt-2 | [
{
"content": "Teacher:In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equati... |
flan-NIv2-task1017_pib_translation_hindi_malayalam-zs_opt-4 | [
{
"content": "Teacher:A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.\nTeacher: Now, understand the problem? Solve this instance: संसदीय कार्य मंत्री ने बताया कि सरकार महत्वपूर्ण विधेयक लाएगी। इन... |
flan-NIv2-task473_parsinlu_mc_classification-zs_opt-11 | [
{
"content": "Q: In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.\nرایج ترین اسم در دنیا کدام است؟ <sep> (A) مایکل (B) محمد (C) سارا (D) تام\nA:",
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{
"co... |
flan-NIv2-task636_extract_and_sort_unique_alphabets_in_a_list-fs_opt-12 | [
{
"content": "In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.\n\nEx Input:\n['b', 't', '2199', 'e', 'i',... |
flan-NIv2-task1432_head_qa_language_translation_en_to_es-fs_opt-5 | [
{
"content": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nIn this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.\n\nIt is NOT a function of the intermed... |
flan-NIv2-task625_xlwic_true_or_false_answer_generation-fs_opt-6 | [
{
"content": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nIn this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You shou... |
flan-NIv2-task1560_blimp_binary_classification-fs_opt-16 | [
{
"content": "instruction:\nIn this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreeme... |
flan-NIv2-task1018_pib_translation_malayalam_hindi-fs_opt-2 | [
{
"content": "A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.\nOne example: മാനവികത ഒരുമിച്ചു ചേരുമ്പോള് അദ്ഭുതങ്ങള് സംഭവിക്കുന്നു എന്നാണിത് കാണിക്കുന്നത്\nSolution is here: इससे पता चलता है कि... |
flan-Flan2021-super_glue/wsc.fixed:1.0.2-zs_noopt-12 | [
{
"content": "Is \"settlers\" the same as \"they\" in this sentence?\nThe politicians far away in Washington could not know the settlers so *they* must make rules to regulate them.",
"role": "user"
},
{
"content": "no",
"role": "assistant"
}
] |
flan-NIv2-task008_mctaco_wrong_answer_generation_transient_stationary-fs_opt-2 | [
{
"content": "Given the task definition, example input & output, solve the new input case.\nIn this task, we ask you to write an implausible answer to a question that involves \"transient v. stationary\" events, i.e., the understanding of whether an event will change over time or not. For example, the sentence ... |
flan-NIv2-task1585_root09_hypernym_generation-fs_opt-7 | [
{
"content": "Given a concept word, generate a hypernym for it. A hypernym is a superordinate, i.e. a word with a broad meaning constituting a category, that generalizes another word. For example, color is a hypernym of red.\n\nLet me give you an example: crystal\nThe answer to this example can be: rock\nHere i... |
flan-NIv2-task164_mcscript_question_answering_text-zs_opt-4 | [
{
"content": "Given the task definition and input, reply with output. You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the give... |
flan-CoT-cot_esnli_ii-fs_opt-14 | [
{
"content": "Just because the boy is looking through a telescope does not mean he is looking for jupiter.. So what could be the question?\nQuestion followed by answer: If \"Young boy looking through a telescope at midday.\" does that mean that \"A boy is looking for jupiter in a telescope.\"?\nOptions:\n- yes\... |
flan-NIv2-task337_hateeval_classification_individual_en-zs_opt-14 | [
{
"content": "Given the task definition and input, reply with output. In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text... |
flan-P3-race_high_Select_the_best_answer_generate_span_-zs_opt-16 | [
{
"content": "Please answer the following question: Read the following article and select the best answer. Article: Keesh lived at the North Pole a long time ago. He lived near the edge of the polar sea. He was a bright thirteen-year-old boy with a strong, healthy body. His father was a brave man who had died d... |
flan-NIv2-task069_abductivenli_classification-zs_opt-17 | [
{
"content": "Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing \"1\" or \"2\" in the output. If both sentences are plausible, pick the one that makes... |
flan-NIv2-task298_storycloze_correct_end_classification-zs_opt-14 | [
{
"content": "Instructions: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.\nInput: Sentence1: Sammy's coffee grind... |
flan-P3-ropes_background_situation_middle-zs_noopt-3 | [
{
"content": "Answer the following question: You are given a new situation: A team of geologists studied two islands. Large island had a lot of seismic activity, and Small island that presented almost no seismic activity. and a hint : Geologists study earthquake waves to “see” Earth's interior. Waves of energy... |
flan-NIv2-task1530_scitail1.1_sentence_generation-zs_opt-9 | [
{
"content": "Detailed Instructions: You are given a sentence and your task is to generate another sentence that supports the given input.\nProblem:During the early Paleozoic, the amount of carbon dioxide in the atmosphere was much greater than it is today.\nSolution:",
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{
"content"... |
flan-NIv2-task683_online_privacy_policy_text_purpose_answer_generation-zs_opt-12 | [
{
"content": "Detailed Instructions: 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\nQ: An unnamed third party does receive your contact information for mergers or... |
flan-NIv2-task374_synthetic_pos_or_neg_calculation-fs_opt-11 | [
{
"content": "instruction:\nIn this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the... |
flan-NIv2-task1203_atomic_classification_xreact-zs_opt-18 | [
{
"content": "Detailed Instructions: 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 alway... |
flan-NIv2-task412_mickey_zh_sentence_perturbation_generation-zs_opt-0 | [
{
"content": "Q: Given a sentence in Chinese, generate a new Chinese 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 reaso... |
flan-NIv2-task163_count_words_ending_with_letter-zs_opt-8 | [
{
"content": "Teacher:In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.\nTeacher: Now, understand the problem? Solve this instance: Sentence: 'a person on a skate board riding the down the street'. How many words end with the let... |
flan-NIv2-task1623_disfl_qa_disfluent_question_classification-fs_opt-17 | [
{
"content": "Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.\nOne example: Who influenced the fundamentalist sorry no no... |
flan-NIv2-task554_alt_translation_en_la-zs_opt-19 | [
{
"content": "Definition: In this task, given a sentence in the English language, your task is to convert it into the Lao (Laotian) language.\nInput: Cook, aged 59, was flown to a hospital in Inverness by a rescue service helicopter half an hour after collapsing.\nOutput:",
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{
"cont... |
flan-NIv2-task1248_ted_translation_it_ja-fs_opt-7 | [
{
"content": "You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.\n\nQ: Non solo investire nella propria casa, ma aiutare ad allevare i bambini di tutta la comunità.\n\nA: 自分の家庭に投資するだけでなく地域社会に出て子供がそこで育っていくのを支援すること\n****\nQ: Ma, alcune altre, no davvero!\n\nA: でもまだ出来... |
flan-NIv2-task412_mickey_zh_sentence_perturbation_generation-zs_opt-2 | [
{
"content": "Q: Given a sentence in Chinese, generate a new Chinese 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 reaso... |
flan-NIv2-task1035_pib_translation_tamil_urdu-zs_opt-16 | [
{
"content": "Instructions: A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.\nInput: பெரும் தாக்கம்:\nOutput:",
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},
{
"content": "نمایاں اثرات :",
"role": "assistant"
}
... |
flan-P3-quail_context_question_answer_description_id-zs_noopt-11 | [
{
"content": "One time I was walking my puppy (profile pic) who was then around 5 months, with my mum and grandma. By the time we were about to reach our house, we spot two dogs, a German Shepherd and a Husky, both male, on the other side of the street sniffing around with no owner in sight. I was ready to high... |
flan-NIv2-task625_xlwic_true_or_false_answer_generation-zs_opt-12 | [
{
"content": "In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.\nQ: scale \n Sentence... |
flan-NIv2-task937_defeasible_nli_social_classification-fs_opt-2 | [
{
"content": "Part 1. Definition\nIn this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts a... |
flan-NIv2-task1194_kth_largest_element-zs_opt-9 | [
{
"content": "Detailed Instructions: In this task, you are given a list of integers and an integer k. You need to find the kth largest element in the input list.\nQ: [231, 186, 259, 217, 158, 138, 145, 76, 131, 220, 129, 187, 47, 12, 293, 144, 155, 200, 279, 108], k=13\nA:",
"role": "user"
},
{
"con... |
flan-NIv2-task966_ruletaker_fact_checking_based_on_given_context-zs_opt-6 | [
{
"content": "Teacher:Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is pre... |
flan-CoT-stream_aqua_ii-fs_opt-5 | [
{
"content": "(Ans). (B)\n(Question). A 70 cm long wire is to be cut into two pieces so that one piece will be 2/5th of the other, how many centimeters will the shorter piece be?\nOptions:\n(A) 20\n(B) 99\n(C) 88\n(D) 77\n(E) 66\n(CoT). 1: 2/5 = 5: 2\n2/7 * 70 = 20\n\n\n(Ans). (C)\n(Question). What is the Mode ... |
flan-NIv2-task562_alt_language_identification-fs_opt-10 | [
{
"content": "Part 1. Definition\nIn this task, an input sentence is given which can be in the English, Bengali, Filipino, Hindi, Indonesian(Bahasa variant), Japanese, Central Khmer, Lao, Malay, Burmese, Thai, Vietnamese or Chinese languages. There are a total of 13 languages. Your task is to identify the langu... |
flan-NIv2-task142_odd-man-out_classification_no_category-zs_opt-10 | [
{
"content": "Teacher:Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.\nTeacher: Now, understand the problem? Solve this instance: plain, plane, flat, hill, cabin\nStudent:",
"role": "user"
},
... |
flan-NIv2-task020_mctaco_span_based_question-fs_opt-5 | [
{
"content": "The answer will be 'yes' if the provided sentence contains an explicit mention that answers the given question. Otherwise, the answer should be 'no'. Instances where the answer is implied from the sentence using \"instinct\" or \"common sense\" (as opposed to being written explicitly in the senten... |
flan-NIv2-task1651_opus_books_en-es__translation-fs_opt-9 | [
{
"content": "The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in th... |
flan-NIv2-task029_winogrande_full_object-fs_opt-1 | [
{
"content": "In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example \"trophy\" and \"suitcase\". Additionally... |
flan-NIv2-task771_pawsx_korean_text_modification-zs_opt-7 | [
{
"content": "Given the task definition and input, reply with output. Given a sentence in Korean, provide an equivalent paraphrased version from the original that retains the same meaning.\n\n프란시스 오켈로 (Frankis Okello) 소장이 2009 년 7 월 7 일 AMISOM의 사령관으로 Nathan Mugisha 소장을 대신했습니다.\n",
"role": "user"
},
{
... |
flan-NIv2-task1026_pib_translation_punjabi_bengali-zs_opt-12 | [
{
"content": "A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.\n\nਤੁਹਾਡਾ ਸਵਾਲ ਮੈਂ ਸਮਝ ਗਿਆ, ਆਪ ਜੋ ਕਹਿਣਾ ਚਾਹੁੰਦੇ ਹੋ.",
"role": "user"
},
{
"content": "আসুন, মধুমিতা সেনগুপ্তর প্রশ্ন আম... |
flan-P3-qasc_qa_with_separated_facts_1-zs_noopt-1 | [
{
"content": "Q:Mollusks are a major food source for other organisms, including humans, and mollusks are soft-bodied invertebrates. Given these facts, what are a major food source for other organisms, including humans among the following options: - Earthworms - Soft-bodied invertebrates - Fully cooking the oy... |
flan-NIv2-task1140_xcsr_pl_commonsense_mc_classification-zs_opt-13 | [
{
"content": "Teacher:In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of \"A\", \"B\", \"C\", \"D\", and \"E\" based on your commonsense knowledge.\nTeacher: Now, understand the problem? Solve this instance... |
flan-P3-kilt_tasks_hotpotqa_final_exam-zs_noopt-19 | [
{
"content": "FINAL EXAM Question 1. What year was the American actor who starred on Boogles Diner born?\nAnswer:",
"role": "user"
},
{
"content": "1955",
"role": "assistant"
}
] |
flan-NIv2-task367_synthetic_remove_floats-zs_opt-1 | [
{
"content": "Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list (\"[]\") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brac... |
flan-NIv2-task1645_medical_question_pair_dataset_text_classification-zs_opt-13 | [
{
"content": "Given the task definition and input, reply with output. In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a dif... |
flan-NIv2-task1168_brown_coarse_pos_tagging-zs_opt-14 | [
{
"content": "Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-sp... |
flan-NIv2-task045_miscellaneous_sentence_paraphrasing-zs_opt-6 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nYou are given a question, its answer, and a sentence that supports the question, i.e., the answer to the question is inferable from the sentence. In this task, you need to paraphrase the given sentence so that the paraph... |
flan-NIv2-task1482_gene_extraction_chemprot_dataset-zs_opt-6 | [
{
"content": "Given the task definition and input, reply with output. In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.\n\nOncogenic K-ras expression is associated with derangement of... |
flan-Flan2021-sentiment140:1.0.0-zs_noopt-4 | [
{
"content": "Write a tweet that is negative.",
"role": "user"
},
{
"content": "hates the fact that twitter wont upload my pics? i clikc save & nothing happens! grrrrr ",
"role": "assistant"
}
] |
flan-NIv2-task453_swag_answer_generation-zs_opt-12 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nGiven a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.\n\nSomeone walks away hat in hand as the taxi drives off in the other direction. At... |
flan-NIv2-task1209_atomic_classification_objectuse-zs_opt-13 | [
{
"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 eve... |
flan-NIv2-task197_mnli_domain_answer_generation-zs_opt-12 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nIn this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, sl... |
flan-NIv2-task1157_bard_analogical_reasoning_rooms_for_containers-fs_opt-8 | [
{
"content": "Part 1. Definition\nTwo analogies that relate objects to the associated rooms is given in the form \"A : B. C : ?\". \"A : B\" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the \"A : B\" relation.\nPart 2. Exam... |
flan-NIv2-task130_scan_structured_text_generation_command_action_long-zs_opt-4 | [
{
"content": "Q: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the build... |
flan-NIv2-task903_deceptive_opinion_spam_classification-fs_opt-19 | [
{
"content": "Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.\n\nExample input: Review: I stayed at the Hilton Chicago for my cousins wedding. The service was impeccable. Not only was... |
flan-NIv2-task1613_sick_given_category_generate_sentence-zs_opt-12 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nIn this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specifi... |
flan-NIv2-task471_haspart_answer_generation-zs_opt-6 | [
{
"content": "Given an entity as input, output another entity which is part of the input entity. 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., output entity) is in a part-of rela... |
flan-NIv2-task609_sbic_potentially_offense_binary_classification-zs_opt-12 | [
{
"content": "Q: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts ... |
flan-NIv2-task810_pawsx_chinese_spanish_translation-fs_opt-13 | [
{
"content": "Given a sentence in Chinese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.\n--------\nQuestion: 这些航空公司连接印度80多个城市，并在印度航空自由化后运营海外航线。\n\nAnswer: Estas aerolíneas conectan más de 80 ciudades en toda la India y ta... |
flan-NIv2-task319_stereoset_classification_profession-zs_opt-12 | [
{
"content": "Q: You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. A... |
flan-P3-dream_generate_first_utterance-zs_opt-19 | [
{
"content": "Mathew: Well, the first thing is driving on the wrong side of the road..., that would be the- that was very strange because you have this automatic reflex when you go out into the street to look one way and a couple of times I did that and I almost got hit by cars and bikes and all, you know. It's... |
flan-NIv2-task1108_ted_translation_ar_fa-zs_opt-9 | [
{
"content": "Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.\nInput: يعطي الجنود اسما لهذه المقاطع.\nOutput:",
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},
{
"content": "سربازان این ویدئوها را با نام ِ",
"role": "assistant"
}
] |
flan-NIv2-task1721_civil_comments_obscenity_classification-zs_opt-0 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nCategorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.\n\nRaiding the Permanent Fund is a fools errand. It is giving up on adjusting outrageously generous oil and gas... |
flan-NIv2-task683_online_privacy_policy_text_purpose_answer_generation-zs_opt-13 | [
{
"content": "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\nThe site collects your demographic information for analytics or research. Collection happens when ... |
flan-NIv2-task1310_amazonreview_rating_classification-zs_opt-11 | [
{
"content": "Detailed Instructions: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.\nProblem:You advertise hepa bags in both your wordin... |
flan-NIv2-task201_mnli_neutral_classification-fs_opt-15 | [
{
"content": "In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer ... |
flan-P3-quail_context_description_question_text-zs_noopt-1 | [
{
"content": "Answer the following question: U.S. Attorney General Loretta Lynch visited Orlando, Florida, on Tuesday, nine days after what she called a \"shattering attack\" at a gay nightclub. Lynch told the city's devastated gay community, \"We stand with you in the light.\" She also announced a $1 million e... |
flan-NIv2-task1048_pib_translation_telugu_english-zs_opt-15 | [
{
"content": "A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.\n\nతోటల కార్మికుల చట్టం-1951;",
"role": "user"
},
{
"content": "The Plantations Labour Act, 1951",
"role": "assistan... |
flan-NIv2-task1453_person_entity_extraction_btc_corpus-fs_opt-6 | [
{
"content": "Teacher: In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.\nTeacher: Now, understand the problem? If y... |
flan-NIv2-task214_rocstories_incorrect_ending_classification-zs_opt-4 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nIn 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 t... |
flan-NIv2-task1256_ted_translation_pl_en-zs_opt-11 | [
{
"content": "Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.\nAle 60 lat po wydaniu \"\" Mistyki kobiecości \"\" wiele kobiet ma faktycznie więcej możliwości wyboru niż mężczyźni.\nA:",
"role": "user"
},
{
"content": "But 60 years after \"\" The Fem... |
flan-NIv2-task1163_coda19_section_classification-zs_opt-6 | [
{
"content": "Teacher:In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the h... |
flan-NIv2-task867_mawps_multiop_question_answering-fs_opt-7 | [
{
"content": "You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\n\nExample Input: Lana was un... |
flan-NIv2-task682_online_privacy_policy_text_classification-zs_opt-10 | [
{
"content": "Definition: Given a part of privacy policy text, classify it into one of these categories: \n (1) First Party Collection/Use (how and why a service provider collects user information), \n (2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties), \n... |
flan-NIv2-task237_iirc_answer_from_subtext_answer_generation-zs_opt-4 | [
{
"content": "In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.\n\nContext: the Belgian... |
flan-NIv2-task1371_newscomm_translation-zs_opt-15 | [
{
"content": "Instructions: This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.\nInput: The British gover... |
flan-NIv2-task605_find_the_longest_common_subsequence_in_two_lists-zs_opt-2 | [
{
"content": "Definition: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.\nInput: ['b', 'L', 'v', 7993, 2017, 929, '4549', '3397', 'O', 'M', 'F', '6233', '6011', 'Z', '8625', 'm', '1699', '7663', '2439', 'p', 'a', 'C', '9955', 'O', '1085', '2845', '2029', '39... |
flan-P3-amazon_polarity_would_you_buy-zs_noopt-12 | [
{
"content": "You are considering whether to buy a product. You look at the reviews. Would the following review decrease or increase the chances of you buying the product? Review title: Only for the REALLY YOUNG!! Product review: I bought this for a family get together anticipating the kids would have a fun aft... |
flan-NIv2-task1421_mathqa_other-zs_opt-18 | [
{
"content": "Instructions: In this task, you need to provide the correct option for a given problem from the provided options.\nInput: Problem: if log 102 = 0.3010 , what is the value of log 101600 ? \nOptions: a ) 3.208 , b ) 3.202 , c ) 3.209 , d ) 3.204 , e ) 3.2112\nOutput:",
"role": "user"
},
{
... |
flan-NIv2-task307_jeopardy_answer_generation_final-zs_opt-4 | [
{
"content": "Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.\nInput: Category: AMERICAN HISTORY \nClue: This legislative b... |
flan-NIv2-task023_cosmosqa_question_generation-zs_opt-19 | [
{
"content": "Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the ... |
flan-P3-duorc_ParaphraseRC_question_answering-zs_noopt-7 | [
{
"content": "Question: What do they decide to change? If there is no answer, please output \"Insufficient information to provide an answer.\". Movie title: The Third Generation Context: P.J. Lurz, an industrialist with an office in a Berlin high-rise, informs his American headquarters that the company has diff... |
flan-NIv2-task1033_pib_translation_gujarati_hindi-zs_opt-5 | [
{
"content": "A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.\nQ: આપણા દેશમાં ઉદ્યોગનાં વિકાસ માટે કલ્સ્ટર આધારિત અભિગમ અપનાવવા અંગે આપણે પરિચિત છીએ.\nA: ",
"role": "user"
},
{
"con... |
flan-NIv2-task1276_ted_translation_pt_es-fs_opt-1 | [
{
"content": "Part 1. Definition\nYou are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.\nPart 2. Example\nPodem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.\nAnswer: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.... |
flan-NIv2-task512_twitter_emotion_classification-fs_opt-18 | [
{
"content": "Part 1. Definition\nIn 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.\nPart 2. Example\nim feeling quite sad and sorry for myself but ill snap out of it soon\nAnswer: sadness\nExplanation:... |
flan-NIv2-task449_opus_paracrawl_ig_en_translation-zs_opt-6 | [
{
"content": "Given the task definition and input, reply with output. Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact\n\nIgbo sentence: Olee otú anyị chebe gị ọmụma?\n",
"role": "user"
},
{
"content": "How do we protec... |
flan-NIv2-task599_cuad_question_generation-fs_opt-2 | [
{
"content": "In this task, you're given a passage that represents a legal contract or clause between multiple parties. Your job is to write questions that ask the basic details corresponding to the legal contracts or clauses. Avoid questions that can be answered correctly without actually understanding the par... |
flan-NIv2-task1517_limit_classfication-zs_opt-19 | [
{
"content": "Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence be... |
flan-NIv2-task1158_bard_analogical_reasoning_manipulating_items-fs_opt-16 | [
{
"content": "instruction:\nTwo analogies on manipulating items in a kitchen is given in the form \"A : B. C : ?\". The phrase \"A : B\" relates item A to its appropriate manipulation B. Your task is to replace the question mark (?) with the appropriate manipulation of item C, following the \"A : B\" relation. ... |
flan-NIv2-task1019_pib_translation_oriya_telugu-zs_opt-15 | [
{
"content": "A text is given in Oriya. Translate it from the Oriya language to the Telugu language. The translation must not omit or add information to the original sentence.\n\nଯୋଧପୁରଠାରେ ଏକ୍ସ-ଆଭିଆଇନ୍ଦ୍ର 2018ର ସମୀକ୍ଷା କଲେ ବାୟୁସେନା ମୁଖ୍ୟ",
"role": "user"
},
{
"content": "మైనారిటీ వ్యవహారాల మంత్రిత్... |
flan-NIv2-task479_cls_german_books_classification-zs_opt-9 | [
{
"content": "Q: In this task, you are given books product reviews in German language. The goal is to classify the review as \"POS\" if the overall sentiment of the review is positive or as \"NEG\" if the overall sentiment of the review is negative.\nTelenovela in Buchform . Ich habe selten ein Buch gelesen, da... |
flan-NIv2-task1343_amazon_us_reviews_rating-zs_opt-9 | [
{
"content": "Given the task definition and input, reply with output. Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.\n\nThis item looks a lot nicer in the picture than it does in real life. It looks like it is made of cheap plastic. I returned it soon after receiving ... |
flan-NIv2-task923_event2mind_classifier-fs_opt-5 | [
{
"content": "instruction:\nYou are provided with an \"Event\" and it's \"Intent\" related to PersonX. Determine the sentiment value of the given input as either \"Positive\", \"Negative\", and \"Unknown\". \nquestion:\nEvent:PersonX disappears around the corner. Intent: 1) to help\nanswer:\nPositive\n\n\nquest... |
flan-NIv2-task803_pawsx_german_french_translation-zs_opt-18 | [
{
"content": "Given a sentence in German, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.\nQ: Sie waren mit einer weißen Lederschürze, langen Stulp-Handschuhen und einer Axt mit einem auf Messing befestigten Griff ausgestatte... |
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