ID stringlengths 26 105 | messages listlengths 2 2 |
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flan-NIv2-task429_senteval_tense-zs_opt-2 | [
{
"content": "Definition: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as \"Present\" or \"Past\" based on your judgment. If there is no verb in the given text, answer \"Present\".\nInput: The son bore little physica... |
flan-NIv2-task589_amazonfood_summary_text_generation-zs_opt-14 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nIn this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.\n\nI will ne... |
flan-NIv2-task221_rocstories_two_choice_classification-zs_opt-7 | [
{
"content": "Detailed Instructions: 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 r... |
flan-NIv2-task597_cuad_answer_generation-zs_opt-4 | [
{
"content": "Detailed Instructions: In this task, you're given a passage that represents a legal contract or clause between multiple parties, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer a specific phras... |
flan-NIv2-task1502_hatexplain_classification-zs_opt-6 | [
{
"content": "Detailed Instructions: 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 discriminator... |
flan-NIv2-task1490_bengali_personal_hate_speech_binary_classification-zs_opt-7 | [
{
"content": "Instructions: 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: personal or... |
flan-NIv2-task1155_bard_analogical_reasoning_trash_or_treasure-zs_opt-0 | [
{
"content": "Detailed Instructions: Two analogies that relate items to whether they are trash or treasure is given in the form \"A : B. C : ?\". Items marked as \"trash\" are considered to not have value and can be disposed, whereas those marked as \"treasure\" are considered valuable items that must be retain... |
flan-NIv2-task1587_scifact_classification-zs_opt-5 | [
{
"content": "Teacher:In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label \"yes\" if title is right for article, otherwise generate \"no\".\nTeacher: Now, understand the problem? Solve this instance: Abstract: Placental oxidative stress plays a... |
flan-NIv2-task1517_limit_classfication-zs_opt-18 | [
{
"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-task1729_personachat_generate_next-fs_opt-6 | [
{
"content": "Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.\nOn... |
flan-NIv2-task906_dialogre_identify_names-zs_opt-3 | [
{
"content": "Teacher:You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.\nTeacher: Now, understand the problem? Solve this instance: Speaker 1: Julie... |
flan-NIv2-task1545_conll2002_person_name_extraction_answer_generation-zs_opt-5 | [
{
"content": "Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - ... |
flan-NIv2-task346_hybridqa_classification-zs_opt-0 | [
{
"content": "Definition: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech ... |
flan-NIv2-task1482_gene_extraction_chemprot_dataset-fs_opt-1 | [
{
"content": "TASK DEFINITION: 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.\nPROBLEM: Transgenic expression of the human Vitamin D receptor (hVDR) in the duodenum of VDR-null mic... |
flan-NIv2-task1170_xcopa_commonsense_reasoning_id-zs_opt-0 | [
{
"content": "Teacher:In this task you are given a premise and two alternatives in Indonesian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is \"premise\n(1)alternative_1(2)alternative_2\", the output should either be \"1\... |
flan-NIv2-task544_alt_translation_hi_en-zs_opt-15 | [
{
"content": "Instructions: In this task, given a sentence in the Hindi language, your task is to convert it into the English language.\nInput: न्यूजीलैंड के विदेश मंत्रालय और व्यापार प्रवक्ता हेलेन तुन्नाह ने कहा कि मंत्रालय को अपहरण की कोई सूचना नहीं मिली है।\nOutput:",
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},
{
"conten... |
flan-NIv2-task817_pawsx_japanese_german_translation-fs_opt-15 | [
{
"content": "Given a sentence in Japanese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.\n\n[Q]: この原稿の執筆は、1426年にティムリッドの王子であるBaysonghor Mirzaの命令で始まり、4年後の1430年に完成しました。\n[A]: Die Arbeit an diesem Manuskript wurde 1426 auf Ano... |
flan-NIv2-task389_torque_generate_temporal_question-zs_opt-0 | [
{
"content": "Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/u... |
flan-NIv2-task1105_ted_translation_ar_gl-zs_opt-8 | [
{
"content": "Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.\nInput: اسمه جو ماكينا.\nOutput:",
"role": "user"
},
{
"content": "Chamábase Joe McKenna.",
"role": "assistant"
}
] |
flan-NIv2-task1201_atomic_classification_xintent-zs_opt-2 | [
{
"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-task620_ohsumed_medical_subject_headings_answer_generation-zs_opt-12 | [
{
"content": "Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.\n\nAbstract: A specific radioimmunoassay for human placental alkaline phosphatase has been developed using the 125I... |
flan-NIv2-task1616_cc_alligned_translate_eng_tel-zs_opt-1 | [
{
"content": "Detailed Instructions: This task is to translate the English language Input to Telugu Language Output\nProblem:avyaktaḥ — unmanifested; akṣaraḥ — infallible; iti — thus; uktaḥ — is said; tam — that; āhuḥ — is known; paramām — the ultimate; gatim — destination; yam — which; prāpya — gaining; na — n... |
flan-NIv2-task1095_ted_translation_ja_gl-fs_opt-7 | [
{
"content": "You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.\n\nInput: Consider Input: この漫画は大当たりでした\n\nOutput: E esta tira golpea xusto no centro do furacán.\n\n\nInput: Consider Input: 最も深い場所を選び行ってみましょう水面下約11kmにあるマリアナ海溝歴史上わずか２人しか訪れていない世界へ\n\nOutput: Podemos ... |
flan-NIv2-task1277_ted_translation_pt_ar-zs_opt-17 | [
{
"content": "Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.\nQ: E tinha vindo a Washington, não a procurar uma ajuda nem um microempréstimo.\nA:",
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},
{
"content": "وقد قدمت الى واشنطن لا لكي تبحث عن تمويل ب... |
flan-P3-wiki_bio_guess_person-zs_noopt-4 | [
{
"content": "- clubs is west torquay united swindon town walsall dundalk f.c. ham united tottenham hotspur coventry city leyton orient - caps is 127 21 35 39 68 84 13 17 - position is wing half & inside forward - managerclubs is walsall dundalk - years is -1956 1960-1964 1964-1965 1965-1966 1966-19... |
flan-NIv2-task320_stereoset_classification_race-zs_opt-5 | [
{
"content": "Instructions: You are given a target race, 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 peop... |
flan-NIv2-task1545_conll2002_person_name_extraction_answer_generation-fs_opt-0 | [
{
"content": "In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, ... |
flan-NIv2-task549_alt_translation_en_vi-fs_opt-7 | [
{
"content": "Given the task definition, example input & output, solve the new input case.\nIn this task, given a sentence in the English language, your task is to convert it into the Vietnamese language.\nExample: The Ukrainian foreign ministry said a Ukrainian woman had been killed and the Romanian foreign mi... |
flan-NIv2-task1404_date_conversion-fs_opt-4 | [
{
"content": "In this task, you are given a date in a particular format and you need to convert to another format. If given format is \"dd/mm/yyyy\" then convert to \"mm/dd/yyyy\". If given format is \"mm/dd/yyyy\" then convert to \"dd/mm/yyyy\".\n\nEx Input:\n03/02/2015, input_format=dd/mm/yyyy\n\nEx Output:\n... |
flan-NIv2-task1662_cedr_ru_classification-fs_opt-7 | [
{
"content": "Given the task definition, example input & output, solve the new input case.\nYou will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure you... |
flan-NIv2-task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet-zs_opt-13 | [
{
"content": "In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.\n\n['i', '1441', '397', 'S', '8833', '9829', 'g', 'U', 'W', '9651', '9403', '70... |
flan-NIv2-task964_librispeech_asr_text_auto_completion-zs_opt-4 | [
{
"content": "You are given an unfinished English sentence, and you need to predict the rest of it.\nQ: and the conversation which had become interesting\nA: ",
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},
{
"content": "during the discussion of such serious affairs",
"role": "assistant"
}
] |
flan-NIv2-task1293_kilt_tasks_hotpotqa_question_answering-fs_opt-15 | [
{
"content": "instruction:\nIn this task, you are given a question. You have to answer the question based on your information.\nquestion:\nwhat is the population of the city russian actor Aleksei Maklakov is from?\nanswer:\n1,473,754\n\n\nquestion:\nWho was involved with more films, Grover Jones or Norman Tokar... |
flan-NIv2-task1218_ted_translation_en_ja-zs_opt-5 | [
{
"content": "You are given a sentence in English. Your job is to translate the English sentence into Japanese.\nQ: So what does it mean now that computers can see?\nA: ",
"role": "user"
},
{
"content": "コンピュータに「見る」ことができるというのはどんな意味を持つのか ？",
"role": "assistant"
}
] |
flan-NIv2-task375_classify_type_of_sentence_in_debate-zs_opt-18 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nIn this task, you will be given a debate topic, along with a sentence from the debate. You should classify the given sentence and choose the type of that sentence. Possible types are explained below.\nPolicy: This refers... |
flan-NIv2-task240_tweetqa_question_generation-zs_opt-15 | [
{
"content": "Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.\nTeacher... |
flan-NIv2-task1351_opus100_translation_gu_en-zs_opt-18 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nYou are given a sentence in Gujarati language and we ask you to translate those to the English language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please ... |
flan-NIv2-task891_gap_coreference_resolution-zs_opt-6 | [
{
"content": "Read the passage and find the corresponding person for the given pronoun. The word between ** ** is the target pronoun.\nQ: The press release was coincidental with the chair of the All-party parliamentary group on Russia being due for renewal. Shortly afterwards, Sir Malcolm Rifkind, who had serve... |
flan-NIv2-task105_story_cloze-rocstories_sentence_generation-zs_opt-13 | [
{
"content": "Given the task definition and input, reply with output. In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.\n\nSentence1: Martin, from a d... |
flan-NIv2-task433_alt_hi_en_translation-zs_opt-8 | [
{
"content": "In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).\n\nवेस्ट हैम यूनाइटेड के मिडफ़ील्डर कीरोन डायर को ब्रिस... |
flan-NIv2-task207_max_element_lists-zs_opt-11 | [
{
"content": "Given the task definition and input, reply with output. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised ... |
flan-NIv2-task793_pawsx_french_chinese_translation-zs_opt-8 | [
{
"content": "Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.\nProblem:Frère de Dinesh Gunawardena et fils aîné de Philip Gunawardena, il a fait ses études au Collège royal ... |
flan-NIv2-task588_amazonfood_rating_classification-fs_opt-6 | [
{
"content": "Given the task definition, example input & output, solve the new input case.\nIn this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, ... |
flan-NIv2-task238_iirc_answer_from_passage_answer_generation-fs_opt-2 | [
{
"content": "In this task, you're given a passage, 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\nQ: Passage: There is s... |
flan-NIv2-task1063_pib_translation_gujarati_tamil-zs_opt-16 | [
{
"content": "Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.\nProblem:આંતરરાષ્ટ્રીય સમુદાયના એક જવાબદાર સભ્ય તરીકે આપણે જલવાયુ પરિવર્તન સામે સામુહિક લડત આપવા માટે આગળ આવ... |
flan-NIv2-task586_amazonfood_polarity_classification-zs_opt-6 | [
{
"content": "You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.\n\nI have one cat who cannot tolerate THIS PARticular Fancy Feast Salmon Product. It is only the Shredded one that gets her, but get it does... |
flan-NIv2-task1341_msr_text_classification-zs_opt-9 | [
{
"content": "Instructions: Given a sentence, judge the quality of this sentence by indicating \"Good\" and \"Bad\". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with \"Good\", otherwise answer with \"Bad\... |
flan-NIv2-task1135_xcsr_en_commonsense_mc_classification-zs_opt-2 | [
{
"content": "In this task, you will be presented with a question that has multiple possible answers. You should choose the most suitable option out of \"A\", \"B\", \"C\", \"D\", and \"E\", based on your commonsense knowledge.\nQ: Question: It's rude to make loud noise and commentary while watching something w... |
flan-NIv2-task1344_glue_entailment_classification-fs_opt-18 | [
{
"content": "In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.\n\nQ: Sentence ... |
flan-NIv2-task1187_politifact_classification-zs_opt-9 | [
{
"content": "In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with \"True\"... |
flan-NIv2-task191_hotpotqa_question_generation-fs_opt-17 | [
{
"content": "In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.\n\nExample Input: Context_1 : Guy Ritchie's Gamekeeper is a comic book ... |
flan-NIv2-task420_persent_document_sentiment_classification-fs_opt-19 | [
{
"content": "Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expre... |
flan-NIv2-task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph-zs_opt-5 | [
{
"content": "Definition: Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).\nInput: If something is cold and it likes the cat then the cat eats the bear. If something likes the cat... |
flan-NIv2-task1534_daily_dialog_question_classification-zs_opt-7 | [
{
"content": "Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.\nInput: Person1: Hello , I need to register for a class . \n Person2: What class ... |
flan-Flan2021-ai2_arc/ARC-Challenge:1.0.0-zs_opt-16 | [
{
"content": "Question: Which of these do scientists offer as the most recent explanation as to why many plants and animals died out at the end of the Mesozoic era?\nChoices:\n -- worldwide disease\n -- global mountain building\n -- rise of mammals that preyed upon plants and animals\n -- impact of an asteroid ... |
flan-Flan2021-gem/web_nlg_en:1.1.0-zs_opt-8 | [
{
"content": "This is some data: 10 Hygiea, epoch, 2015-06-27; 10 Hygiea, surfaceArea, 837080.744 (squareKilometres); 10 Hygiea, escapeVelocity, 0.21 (kilometrePerSeconds); 10 Hygiea, apoapsis, 523951582.33968 (kilometres).\n\nGenerate a detailed description of this data.\nSentence:",
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},
... |
flan-P3-wiki_hop_original_explain_relation-zs_opt-1 | [
{
"content": "Answer the following question: Information: - The United States dropped nuclear weapons on the Japanese cities of Hiroshima and Nagasaki on August 6 and 9, 1945, respectively, during the final stage of World War II. The United States had dropped the bombs with the consent of the United Kingdom as... |
flan-NIv2-task1339_peixian_equity_evaluation_corpus_text_completion-zs_opt-0 | [
{
"content": "Detailed Instructions: The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].\nQ: SENTENCE: This girl found herself in a <blank>... |
flan-NIv2-task1485_organ_extraction_anem_dataset-zs_opt-6 | [
{
"content": "Q: In this task, you will be given sentences in which your task is to recognize the name of the organ of the body. An organ is a collection of tissues that structurally form a functional unit specialized to perform a particular function. Although there might be several correct answers, you need to... |
flan-P3-dream_generate_first_utterance-zs_noopt-4 | [
{
"content": "F: No, not at all. It takes nearly 2 minutes to get there on foot. What was said before this conversation?\n",
"role": "user"
},
{
"content": "M: Excuse me, is it far from here to hospital?",
"role": "assistant"
}
] |
flan-NIv2-task1100_ted_translation_es_gl-zs_opt-6 | [
{
"content": "You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.\nQ: Pero Jennifer Lee empieza a preguntarse si eso tiene sentido.\nA: ",
"role": "user"
},
{
"content": "Pero Jennifer Lee comeza a cuestionarse se iso ten sentido.",
"role": "assistan... |
flan-NIv2-task464_parsinlu_entailment_sentence_generation-zs_opt-10 | [
{
"content": "In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence.... |
flan-NIv2-task1657_gooaq_question_generation-zs_opt-10 | [
{
"content": "Detailed Instructions: You are given an answer. Create a question for the answer.\nQ: For the third digit there are only 2 choices and for the last digit, one choice. Thus if you are not allowed to repeat a digit the number of possible 4 digit numbers you can construct from 1,2,3,4 is 4 3 2 1 = 24... |
flan-NIv2-task892_gap_reverse_coreference_resolution-zs_opt-13 | [
{
"content": "Given the task definition and input, reply with output. Read the passage and find the corresponding pronoun for the given name. The word between ** ** is the target name. The pronoun should be one of 'her', 'him', 'he', 'she' and 'his' with proper casing based on the position in the passage.\n\nTh... |
flan-NIv2-task1614_sick_text_modify-zs_opt-8 | [
{
"content": "Detailed Instructions: In this task, you must modify the text given in the input to generate a paraphrased sentence. Your output sentence must retain the same meaning, but does not necessarily have to include all the details as the input text.\nProblem:sentence_B_original: a man wearing a straw ha... |
flan-NIv2-task912_bianet_classification-zs_opt-4 | [
{
"content": "In this task, we are given a sentence in either 'English' or 'Kurdish' languages and we have to determine what the language of the sentence is as output\n\nThose responsible for killing of Cemil Kırbayır have still not been brought before justice. (AS/TK)",
"role": "user"
},
{
"content... |
flan-NIv2-task614_glucose_cause_event_detection-zs_opt-3 | [
{
"content": "Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form \" ... |
flan-P3-cos_e_v1.11_explain_why_human-zs_opt-16 | [
{
"content": "Question: The sloth was very muscular, but he couldn't compete in the contest because it had a humans only rule. What contest was the sloth trying to enter? Options: - universe - dictionary - global - commercial - countryside Explain why a human would choose \"universe\" to answer the question a... |
flan-NIv2-task085_unnatural_addsub_arithmetic-fs_opt-16 | [
{
"content": "Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.\nSee one example below:\nProblem: ... |
flan-NIv2-task978_pib_translation_urdu_oriya-zs_opt-18 | [
{
"content": "A text is given in Oriya. Translate it from the Oriya language to the Urdu language. The translation must not omit or add information to the original sentence.\nQ: صدر جمہوریہ کا سکریٹریٹ\nA: ",
"role": "user"
},
{
"content": "ଅର୍ଥ ମନ୍ତ୍ରଣାଳୟ",
"role": "assistant"
}
] |
flan-NIv2-task746_yelp_restaurant_review_classification-zs_opt-3 | [
{
"content": "Q: You are provided with a user review of a restaurant. Your task is to classify the given review into two categories: 1) positive, and 2) negative based on its content.\nAfter my car died requiring me to leave it stranded in a parking lot over night, I managed to get it started and brought it her... |
flan-NIv2-task1559_blimp_binary_classification-fs_opt-6 | [
{
"content": "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 ... |
flan-NIv2-task466_parsinlu_qqp_text_modification-zs_opt-10 | [
{
"content": "Definition: In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.\nInput: رشته کوه ها چگونه تشکیل می شوند و برخی از رشته های اصلی کوه در اوکلاهما کدام هستند؟\nOutput:",
"role": "user"
},
{
"co... |
flan-NIv2-task867_mawps_multiop_question_answering-zs_opt-19 | [
{
"content": "Detailed Instructions: 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.\nQ: Th... |
flan-P3-cos_e_v1.11_i_think-zs_opt-14 | [
{
"content": "Please answer the following question: Here's a question: Cats always tickle me with their? Here are possible answers to this question: - purring - four paws - four legs - two eyes - whiskers I believe the correct choice is \"whiskers\", here's why:\nA:",
"role": "user"
},
{
"content"... |
flan-NIv2-task347_hybridqa_incorrect_answer_generation-zs_opt-17 | [
{
"content": "Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of... |
flan-NIv2-task1389_hellaswag_completion-zs_opt-7 | [
{
"content": "Given the task definition and input, reply with output. In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with \"A\", \"B\", \"C\", and \"D\". \n\nThe same g... |
flan-CoT-cot_creak-zs_opt-19 | [
{
"content": "\"There are industry uses for Tennessine, such as gas byproducts.\"\nIs the above claim true?\nOptions:\n- yes\n- no\nYour chain-of-thought:",
"role": "user"
},
{
"content": "Tennessine only has had a few atoms produced. There isn't a way to use it for industry. The answer is no.",
... |
flan-NIv2-task060_ropes_question_generation-zs_opt-12 | [
{
"content": "Teacher:You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You need to come up with a questio... |
flan-NIv2-task539_alt_translation_ma_en-zs_opt-6 | [
{
"content": "Q: In this task, given a sentence in the Malay language, and your task is to convert it into the English language.\n\"Sebab itu dia mampu memberi pengenalpastian yang sangat positif.\"\nA:",
"role": "user"
},
{
"content": "\"Because of that he was able to give a very positive identific... |
flan-NIv2-task021_mctaco_grammatical_logical-zs_opt-0 | [
{
"content": "Given the task definition and input, reply with output. A question that is free of any grammatical or logcal errors, should be labeled 'yes', otherwise it should be indicated as 'no'. A question is grammatically correct if all its entities i.e. nouns, verbs, adjectives, prepositions, pronouns, adv... |
flan-NIv2-task277_stereoset_sentence_generation_stereotype-zs_opt-19 | [
{
"content": "Q: In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one wo... |
flan-NIv2-task979_pib_translation_malayalam_oriya-zs_opt-17 | [
{
"content": "Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.\nInput: ഭരണഘടനയുടെ 370ാം വകുപ്പ് റദ്ദു ചെയ്യുന്നതിനും ജമ്മു കാശ്മീരിന്റെ പുനരേകീകരണത്തിനുമുള്ള കേന്ദ്ര ഗവണ്മെന്റിന... |
flan-NIv2-task025_cosmosqa_incorrect_answer_generation-zs_opt-16 | [
{
"content": "Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the... |
flan-NIv2-task1497_bengali_book_reviews_sentiment_classification-zs_opt-15 | [
{
"content": "In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.\n\nইতিহাস কে এত সুন্দর ভাবে উপস্থাপন করা যায় তার উজ্জ্বল উদাহরন এই বইটি",
"role": "user"
},
{
"content": "positive",... |
flan-NIv2-task815_pawsx_japanese_french_translation-zs_opt-16 | [
{
"content": "Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.\nQ: JieţはルーマニアのSlivei川の支流です。\nA: ",
"role": "user"
},
{
"content": "La Jieţ est un affluent de la rivière Slivei en Rouma... |
flan-NIv2-task511_reddit_tifu_long_text_summarization-zs_opt-9 | [
{
"content": "In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.\nQ: Text: (full disclosure, this happened more than a year ago, but i've only recen... |
flan-NIv2-task1609_xquad_en_question_generation-zs_opt-13 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nGiven a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.\n\nSome forms... |
flan-NIv2-task1659_title_generation-fs_opt-9 | [
{
"content": "In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.\n\nExample Input: Authorizes the Secretary of the military department concerned to p... |
flan-NIv2-task821_protoqa_question_generation-fs_opt-15 | [
{
"content": "Teacher: Construct a question that every answer in the list is correct and reasonable for it.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\numbrella, sunscreen, sun hat, sunglasses, cover up, shade\nSolution: at the beach, name something that might p... |
flan-NIv2-task940_copa_gu_commonsense_reasoning-fs_opt-3 | [
{
"content": "Given a premise and two alternatives in Gujarati, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'નિવેદન' field and the alternatives are the 'વિકલ્પA' and 'વિકલ્પB' fields.The output should either be \"વિકલ્પ A\" or \... |
flan-NIv2-task098_conala_list_intersection-zs_opt-2 | [
{
"content": "Definition: 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 ... |
flan-NIv2-task1211_atomic_classification_hassubevent-zs_opt-17 | [
{
"content": "Definition: 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 subjec... |
flan-NIv2-task1615_sick_tclassify_b_relation_a-fs_opt-15 | [
{
"content": "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_contr... |
flan-NIv2-task975_prachathai67k_same_genre_classification-zs_opt-16 | [
{
"content": "Q: In this task, you're given two articles in the Thai language and the possible genre they belong to in the English language. Determine if the two articles share a positive sentiment on the given genre. Indicate your answer with Y for yes if they do and N for no if they don't. Genres available in... |
flan-NIv2-task1399_obqa_answer_generation-fs_opt-19 | [
{
"content": "TASK DEFINITION: In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.\nPROBLEM: Fact: carbon steel is always magnetic. Question: Swords are drawn... |
flan-NIv2-task1035_pib_translation_tamil_urdu-zs_opt-2 | [
{
"content": "Q: 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.\nஇந்திய ரயில்வேயில் பணியாற்றும் பெண் ஊழியர்களை அதிகாரப்படுத்துதல் என்ற முன்முயற்சியின் கீழ் எடுக்கப்பட்ட நடவடிக்கை மாதுங்கா ரயில் நிலைய... |
flan-NIv2-task999_pib_translation_malayalam_tamil-zs_opt-2 | [
{
"content": "Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.\nQ: സൈബര് ഭീഷണികളെ നേരിടുന്നതിന് കഴിവും നല്ല ശേഷിയുമുള്ള പ്രൊഫഷണലുകളെ പരിശീലിപ്പിക്കുകയെന്നതാണ് ശ്രദ്ധചെല... |
flan-NIv2-task1108_ted_translation_ar_fa-zs_opt-12 | [
{
"content": "Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.\nInput: هل يمكن أن نُلهم بما حدث ، ونأخذ موقفاً لأجل عالم كل حياة بشرية فيه تعتبر مهمة ؟\nOutput:",
"role": "user"
},
{
"content": "آیا می توانیم از اتفاقی که افتاده است الهام ب... |
flan-NIv2-task754_svamp_common-division_question_answering-fs_opt-0 | [
{
"content": "You are given a math word problem and you are supposed to apply division mathematical operator on the numbers embedded in the text to answer the following question and then only report the final numerical answer.\n\nExample Input: Context: An industrial machine can make 3 shirts a minute. It made ... |
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