inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Input: Así es como cultivas petróleo. Y mientras piensas sobre cultivar petróleo y cómo ha evolucionado el petróleo, comenzamos con este enfoque de fuerza bruta. ¿Y entonces qué hemos aprendido? Aprendimos que... | This is how you farm oil. And as you think of farming oil and how oil has evolved, we started with this brute force approach. And then what did we learn? Then we learned we had to go bigger. And then what'd we learn? Then we have to go even bigger. And we are getting really destructive as we're going out and farming th... | 3 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.8590649962425232,
1.1316659450531006,
0.4493042528629303,
-0.40640103816986084,
-0.860327959060669,
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0.11407659947872162,
1.5167944431304932,
0.08078095316886902,
-0.06547554582357407,
-0.11305718123912811,
-0.061757028102874756,
-0.6849157810211182,
-0.5227128863334... |
Q: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No"... | No | 7 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.6015934348106384,
0.2878912091255188,
0.4078185260295868,
-0.3625276982784271,
-0.7007370591163635,
-1.1611442565917969,
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-0.6255056858062744,
-0.14887866377830505,
-0.8413747549057007,
0.1690319180488586... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
One example: أمي - سأعود بالحال -
Solution is here: Mommy will be right back.
Explanation: This is a good example. The above sentence is correctly translated from Arabic to English.
Now, solve this: أنا أتحدّث عن جعلك الرئ... | I'm talking about making you President. | 6 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.045303747057914734,
0.2719549536705017,
0.1510123312473297,
-0.8589836359024048,
-0.8519815802574158,
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1.069105863571167,
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-0.9560933709144592,
0.7645537853240967,
-0.25024932622909546,
0.22526833415031433,
... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Problem:Question: Wh... | Lady Jersey was one of the great hostesses of English society, a leader of the ton during the Regency era and the reign of George IV, and a patroness of Almack's | 8 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.2118929922580719,
0.7739195227622986,
-0.536306619644165,
0.14813834428787231,
0.1778835505247116,
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1.0543408393859863,
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... |
Definition: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence de... | politician during speech on the second day | 2 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.421181321144104,
-0.09406065940856934,
-0.3323914408683777,
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-0.3974488079547882,
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-0.040553413331508636,
-0.870648205280304,
0.20164373517036438,
0.06960801780223846,
-0.0271712634712457... |
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.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: h, U
Explanation: Here, the alphabetical elements in the i... | N | 6 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.4088921546936035,
0.49992355704307556,
-0.446660578250885,
-0.5131039619445801,
-0.014060376212000847,
-0.3254064619541168,
0.8717751502990723,
-0.4332318603992462,
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0.036059267818927765,
-0.5470026135444641,
-0.3899855613708496,
0.406544953584671,
0.07331763952970505... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: What was the benefit of determination for the Americans?, Context: With the Japanese CAP out of position and the carriers at their most vulnerable, SBD Dauntlesses from Ent... | a second attack from the U.S. carriers a few hours later found and destroyed Hiryū, the last remaining fleet carrier available to Nagumo | 9 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.31130874156951904,
-0.2412542998790741,
-0.352486789226532,
0.03174751624464989,
0.18076884746551514,
-0.23748941719532013,
0.6415441632270813,
0.24860242009162903,
0.4922977685928345,
-0.05320171266794205,
0.08957584947347641,
-0.05223500356078148,
-0.9144862294197083,
0.616440415382385... |
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 an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: There are a lot of public libraries in Britain. These l... | How did the scientists conduct the experiment? | 0 | NIv2 | task311_race_question_generation | fs_opt | [
0.39261138439178467,
-0.16786545515060425,
-0.606561005115509,
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0.520719587802887,
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0.48253607749938965,
... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words... | In a gym, three kids watch a basketball plater shoot. | 5 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.10127530992031097,
1.1354056596755981,
0.013940807431936264,
-0.48048800230026245,
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-0.2025332599878... |
You will be given a definition of a task first, then some input of the task.
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Speaking at a news conference alongside Prime Minister Boris Johnson in ... | Merkel: Backstop alternative 'possible within 30 days' | 1 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.27833291888237,
0.4007289707660675,
-0.03719554841518402,
0.25199010968208313,
0.7544733285903931,
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0.4312132000923157,
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0.2454550564289093,
0.7838557958602905,
0.10367953777313232,
0.6957015991210938,
-0.007657928857952356,
0.7251803278923035,
-0... |
Teacher: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you... | customer: I am Brain Collins. | 2 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.22052066028118134,
0.23979225754737854,
-0.5549854040145874,
-0.6379641890525818,
0.5026969313621521,
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1.421699047088623,
0.2325924038887024,
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0.22914400696754456,
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-0.8988515138626099,
0.3490116596221924... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
באינדונזיה כיום שולטת דמוקרטיה מכובדת למדי. | تعدّ إندونييسيا اليوم ديموقراطيةً جديرةً بالإحترام جداً. | 0 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.6086838245391846,
0.20438139140605927,
0.4293884336948395,
-1.1079946756362915,
-0.9570596218109131,
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-0.7540179491043091,
-0.1915673464536667,
-0.21422487497329712,
0.047435306012630... |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the q... | Which son was born first? | 8 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.16585583984851837,
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0.22131411731243134,
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0.4506191611289978,
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0.1484944224357605,... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: ウェブはあらゆるものをつないでいますあっという間にほとんどの人間活動に介在することになるでしょう
Output: | A web úneo todo e, moi pronto, mediará en case toda a actividade humana. | 2 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.4331169128417969,
0.5330466032028198,
-0.22609034180641174,
-0.3904954195022583,
-0.3166506886482239,
-0.5836021900177002,
-0.02199958637356758,
0.23962827026844025,
-0.20289546251296997,
0.08365543186664581,
0.22538010776042938,
0.6383482217788696,
-0.10137170553207397,
0.1050371527671... |
Q: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: Apple Inc co-founder and former CEO Steve Jobs, counted among the greatest American CEOs of his generation, died on Wednesday at the age of 56, after a years-long and highl... | Which of the following statements about Steve Jobs is NOT TRUE? | 7 | NIv2 | task311_race_question_generation | zs_opt | [
0.5186160802841187,
0.601946234703064,
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0.4903668761253357,
0.3488481938838959,
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... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return th... | qhphq | 1 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.8248326778411865,
0.8199456930160522,
0.2019336074590683,
-0.07350818067789078,
-0.06020110473036766,
-0.03874870389699936,
0.8300051689147949,
-0.0637066662311554,
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-0.7449365854263306,
-0.1724090576171875,
-0.13547824323177338,
-0.1924302875... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion | 4 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-1.0505921840667725,
0.153288334608078,
0.30332204699516296,
-0.6337493062019348,
0.03344792127609253,
-0.08632655441761017,
0.9245733022689819,
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0.042192041873931885,
-0.6350484490394592,
-0.15901677310466766,
-0.46828752756118774,
-0.562923789024353,
0.671847641468048... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['9895', '2801', 'n', '9839', 'k', 'm', '9565', 'g', 'w', 'F', 'h', 'w']
9895, 2801, 9839, 9565
['a', '897', '3581', '1717', '99', 'W', '8705', '2321', '8049', 'Y... | 2033, 9691, 9047, 4827, 4547, 43, 6155, 2019, 6019, 3161, 6341, 689, 149, 3481, 9287, 4693, 3767
| 0 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
0.5728139281272888,
-0.5016112923622131,
-0.427143931388855,
-0.6393728852272034,
-0.18341296911239624,
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0.5783647298812866,
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0.5662519931793213,
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0.466870546340942... |
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | Yeah, I got a fast pass before, then I came back through with a single rider pass.
| 6 | NIv2 | task360_spolin_yesand_response_generation | fs_opt | [
0.4453337788581848,
0.8438392877578735,
0.5350898504257202,
0.07412700355052948,
0.28508079051971436,
-1.0066829919815063,
0.251456618309021,
1.0514025688171387,
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-0.6408629417419434,
0.19707240164279938,
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0.5714560747146606,
1... |
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about ... | Entity | 9 | NIv2 | task1289_trec_classification | zs_opt | [
0.2531432509422302,
-0.4982447028160095,
-0.39208880066871643,
0.10386744141578674,
-0.5402142405509949,
-1.0230656862258911,
0.8569290041923523,
-0.17685472965240479,
0.4110671877861023,
-0.26433852314949036,
0.11877360939979553,
-0.3127713203430176,
-0.18181680142879486,
0.05750177055597... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is... | undermine | 1 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.00542947743088007,
0.853583812713623,
0.023337842896580696,
0.20852723717689514,
0.13829317688941956,
-0.3255857825279236,
0.3102051317691803,
1.3578307628631592,
0.4111124277114868,
0.3785482347011566,
-0.7219907641410828,
-0.4610878527164459,
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-0.46809715032577515... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is wh... | blue_container | 8 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.5542726516723633,
-0.05824654549360275,
-0.5357917547225952,
-0.6774765253067017,
-0.4098377227783203,
-0.3195045292377472,
0.3271793723106384,
0.5435706377029419,
0.3210798501968384,
0.00482393242418766,
-0.6899895668029785,
0.3086443245410919,
0.28614717721939087,
-0.13850101828575134... |
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.
Input: 2252 + 8390 - 6410 + 7886 + 2363 + 3007 - 5450 + 369 + 240... | -10305 | 3 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.33628982305526733,
0.3212767541408539,
-1.0899144411087036,
0.43488776683807373,
-0.3127111494541168,
-0.03672649338841438,
0.5219599008560181,
0.8046048283576965,
0.22648167610168457,
-0.5144069194793701,
-0.6988914608955383,
-0.5020866990089417,
-0.43432584404945374,
0.198161453008651... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Ex Input:
In the American Old West, policing was often of very poor quality.[citati... | False
| 1 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
-0.0988156795501709,
0.43271809816360474,
-0.1346665918827057,
0.6727679967880249,
-0.2024884819984436,
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0.2232418954372406,
1.2863984107971191,
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0.6124412417411804,
-0.4566597044467926,
0.32222360372543335,
-0.887150228023529,
-0.15209180116653442,
... |
Teacher: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a stor... | I got unlimited bonuses. Then I got blocked for poor quality work. I am disappointed as my work had been rewarded. | 2 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.05106649547815323,
0.100733183324337,
0.12972117960453033,
0.1466251015663147,
0.5362966060638428,
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0.07036975771188736,
1.2120469808578491,
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0.0524769052863121,
-0.25599080324172974,
-0.30276480317115784,
0.1639508754014969,
0.03394271433353424,... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | agent: Ok, hold on for a moment. Let me check the best flight for you.
| 6 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.05109580606222153,
-0.04418151080608368,
-0.5756405591964722,
-0.4555026888847351,
0.7302104830741882,
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1.0460879802703857,
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-0.29421260952949524,
0.33840954303741455,
0.10064435750246048,
0.1990182101726532,
-0.5951298475265503,
0.20341165363788605,... |
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | 5167An7271D327749839759Xc9911249
| 5 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.3751343786716461,
0.4173893332481384,
-0.3162882626056671,
-0.5773495435714722,
-0.20597699284553528,
-0.06223325431346893,
0.6207479238510132,
-0.004966041073203087,
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0.13512049615383148,
-1.2151904106140137,
0.13307538628578186,
0.14517462253570557,
-0.348413139581... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Q: Passage: Static (DC Comics) -- It was recently revealed that prior to his abduction, Static teamed with Justice League... | 1
****
| 4 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.46285706758499146,
0.5759510397911072,
-1.087936282157898,
0.6192471981048584,
-0.1400512307882309,
-0.6334325075149536,
1.1445910930633545,
0.7790745496749878,
0.40370774269104004,
0.4102342128753662,
-0.47416144609451294,
0.4211435914039612,
-1.109297752380371,
-0.20847530663013458,
... |
Q: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
... | Offensive | 7 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.7322577834129333,
0.6524330377578735,
0.4120232164859772,
0.21827322244644165,
-0.08833245187997818,
-0.8153046369552612,
-0.12030504643917084,
0.5159343481063843,
0.20181021094322205,
0.5975322723388672,
-0.18934190273284912,
-0.3636639416217804,
-0.5667972564697266,
-1.087002038955688... |
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 c... | Solution: The city employee finishes up a project outside his favorite grocery store. | 5 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.3949505090713501,
0.7493158578872681,
0.6406522989273071,
-0.750463604927063,
0.2592772841453552,
-0.38554638624191284,
-0.5130854845046997,
0.9549330472946167,
0.35724711418151855,
-0.24425943195819855,
-0.614950954914093,
-0.38014939427375793,
-0.7419021129608154,
-0.5420727729797363,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Let me give you an example: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
The answer to this example can be: Penso che abbastanza presto vedrete pazienti cur... | Centinaia di chilometri di strade verdi che si incrociano con le città in ogni direzione. | 8 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.4468640685081482,
0.4222605228424072,
-0.40215179324150085,
-0.42944639921188354,
-0.5345047116279602,
-0.3511818051338196,
0.6452271938323975,
0.6432439684867859,
0.2821494936943054,
-0.14032819867134094,
-0.786497950553894,
0.24550366401672363,
-1.0644830465316772,
0.4907578229904175,... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Input: Entonces, no está para nada claro que el nuevo poder será el vencedor inevitable.
Output: | And so, it's not at all clear that new power will be the inevitable victor. | 2 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.5840106010437012,
1.3177456855773926,
-0.10129009932279587,
-0.7183105945587158,
-0.2326042652130127,
-0.7525335550308228,
0.00458733644336462,
1.3323023319244385,
0.901971161365509,
-0.24708011746406555,
-0.04595892131328583,
-0.010943951085209846,
-0.055549778044223785,
0.061614032834... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE Christmas | 8 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.15866878628730774,
0.4683685302734375,
-0.6365625262260437,
0.006119599565863609,
-0.3309515416622162,
-0.030117923393845558,
1.3416662216186523,
0.800472617149353,
0.05474434792995453,
0.11474370956420898,
-0.273698627948761,
0.16352373361587524,
-0.3293226361274719,
0.0437127240002155... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Q: A specific plant is found (A) in some areas (B) in outer space (C) nowhere (D) in all areas
A: | A | 4 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.5126544237136841,
0.6586006879806519,
-0.5537346601486206,
-0.015467245131731033,
-0.7673590183258057,
-0.6720757484436035,
-0.048081569373607635,
0.5420162081718445,
0.731866717338562,
-0.14047767221927643,
-0.8855999708175659,
-0.18996775150299072,
-0.087934210896492,
-0.3104599714279... |
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'.
[Q]: Quer... | No
| 5 | NIv2 | task227_clariq_classification | fs_opt | [
-0.6127663850784302,
-0.2057984620332718,
-0.42724373936653137,
0.3999488651752472,
-0.5678250789642334,
-0.6260182857513428,
0.831279456615448,
0.5459778308868408,
0.20716506242752075,
-0.12248016893863678,
0.4155691862106323,
-0.18324679136276245,
-0.7580534815788269,
0.05800069123506546... |
Teacher: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Teacher: Now, understand the problem? If you are still confused, see the following example:
['238', 'h', '92', 'U', '2799']
Solution: 3129
Reason: Here, the numbers in the input ... | 8798 | 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.5529866814613342,
0.2104041576385498,
-0.694725751876831,
-0.6511898040771484,
0.2046215981245041,
-0.6167673468589783,
-0.09453828632831573,
-0.26043471693992615,
-0.9201159477233887,
-0.25439560413360596,
-0.5594322681427002,
-0.0374455451965332,
0.2643212080001831,
-0.540938317775726... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) not wanting to share... | B | 1 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.3246381878852844,
0.6843464374542236,
0.2210998386144638,
-0.09479466825723648,
-0.3220134973526001,
-0.08757786452770233,
0.25152161717414856,
1.094735860824585,
0.1507485806941986,
0.39972853660583496,
-0.25266826152801514,
-0.3475140929222107,
0.24016518890857697,
-0.8214307427406311... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no... | yes | 0 | NIv2 | task846_pubmedqa_classification | fs_opt | [
0.20474936068058014,
0.25134557485580444,
-0.6381240487098694,
0.9453039169311523,
0.5126879215240479,
-0.7682568430900574,
0.529567539691925,
0.994460940361023,
-0.2723120450973511,
-0.03523071110248566,
-0.4290422797203064,
-0.5975812673568726,
-0.584139347076416,
0.18592488765716553,
... |
Given the task definition and input, reply with output. In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sente... | 25341 | 5 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.18032518029212952,
0.6892025470733643,
0.2581188678741455,
-0.31939923763275146,
-0.25783395767211914,
0.09400711953639984,
-0.27724993228912354,
0.4943040609359741,
-0.1626233607530594,
0.21990682184696198,
-0.6896799206733704,
-0.47979986667633057,
-0.40210700035095215,
0.039927434176... |
Detailed Instructions: In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially o... | No. | 8 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
0.39639830589294434,
0.2754882574081421,
-0.37125593423843384,
-0.2395450472831726,
0.3631587028503418,
-0.8760847449302673,
0.3341386616230011,
0.7903348207473755,
-0.27652689814567566,
0.445689857006073,
-0.15128526091575623,
0.024370338767766953,
-0.8161395192146301,
-0.0943154022097587... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Location | 8 | NIv2 | task1289_trec_classification | fs_opt | [
-0.13065661489963531,
0.3439302146434784,
0.007600351236760616,
-0.2968810796737671,
-0.4552786350250244,
-0.7112076878547668,
0.8690999746322632,
-0.17647697031497955,
0.017124081030488014,
-0.5407698750495911,
-1.0840562582015991,
0.3891705572605133,
-0.6493569612503052,
0.34119325876235... |
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-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | PRON | 4 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.27648863196372986,
0.1477571725845337,
-0.087823785841465,
0.28600719571113586,
-0.15887749195098877,
-0.4863142967224121,
0.6705827713012695,
0.5836684703826904,
-0.2668539881706238,
-0.12979383766651154,
-0.6767174601554871,
0.10981547832489014,
-0.7849433422088623,
0.12989693880081177... |
Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur... | False | 3 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.22753730416297913,
0.22900888323783875,
-0.8482070565223694,
0.5203812122344971,
-0.0929918885231018,
-0.8898452520370483,
0.023841867223381996,
0.7616957426071167,
-0.6628241539001465,
0.13821551203727722,
-0.5265182852745056,
-0.28361186385154724,
0.24926190078258514,
-0.4676993191242... |
In this task, you are given a Kurdish sentence and the goal is to faithfully translate the Kurdish sentence into Turkish so that they both mean the same thing
[Q]: Teklîfa ji bo rakirina parêzbendiya parlemeteran li meclisê hat qebûlkirin. Ji bo îtiraza derbarê wê teklîfê de, divê herî kêm 110 parlementer îmze bide ku... | Başbakan: Binali Yıldırım
| 5 | NIv2 | task914_bianet_translation | fs_opt | [
-0.3814966082572937,
0.8445003032684326,
-0.06353344023227692,
-0.16905398666858673,
-0.09788046777248383,
-0.2330627143383026,
1.0815393924713135,
-0.4747259020805359,
0.11384262144565582,
0.07990635931491852,
-0.24077650904655457,
0.7925690412521362,
-0.650913417339325,
0.851212620735168... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
اما این یک کلمه تفاوت بسیار بزرگی را ایجاد کرد.
| אך המילה הזאת יצרה הבדל ענק. | 5 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.8732272982597351,
0.9177197217941284,
0.19143462181091309,
0.2296081781387329,
-0.5792030692100525,
0.4410598874092102,
0.31566768884658813,
-0.08678729832172394,
1.073490858078003,
-0.5540859699249268,
-0.8981165289878845,
0.34419798851013184,
-0.5700345039367676,
0.21823330223560333,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed.... | Original | 5 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.0395876169204712,
1.229458212852478,
0.5020380020141602,
-0.3146153390407562,
-0.2244485765695572,
-0.31583982706069946,
0.09133309870958328,
0.6700132489204407,
0.3032550811767578,
-0.6904516220092773,
-0.947290301322937,
-0.38799411058425903,
-0.4994843006134033,
-0.010785316117107868... |
Given the task definition and input, reply with output. In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which ar... | cross | 5 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.6326515078544617,
0.784346342086792,
0.28443074226379395,
0.024954425171017647,
0.3851771950721741,
-0.005710883066058159,
0.3541329801082611,
1.0610548257827759,
-0.10676650702953339,
-0.02737671509385109,
-0.3713945746421814,
-0.09766754508018494,
-0.6219245195388794,
-0.1194524466991... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Pero a realidade é que non.
Student: | In realtà, la risposta é: non lo sappiamo. | 6 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.29434657096862793,
1.2460291385650635,
0.463606595993042,
-1.1278430223464966,
-1.0044989585876465,
-0.6283515691757202,
0.03472544997930527,
1.6325950622558594,
-0.2038436383008957,
-0.4673905372619629,
-0.15660491585731506,
-0.008447881788015366,
-0.5345738530158997,
-0.55544090270996... |
Instructions: In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them... | The mouse was waited for by the cat lying by the mouse hole , but it was too cautious . | 3 | NIv2 | task275_enhanced_wsc_paraphrase_generation | zs_opt | [
-0.18975259363651276,
0.7787986397743225,
-0.09362466633319855,
-0.12190859019756317,
-0.06452545523643494,
-0.595011293888092,
0.5140835046768188,
0.8389812707901001,
-0.036570899188518524,
-0.25804004073143005,
-0.7988423705101013,
-0.60365891456604,
-0.9752137660980225,
-0.2677957415580... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | entails
| 3 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
0.5786854028701782,
0.33307063579559326,
-0.33762967586517334,
0.45278477668762207,
-0.2904636263847351,
-0.7740448117256165,
0.09078704565763474,
1.0285038948059082,
-0.2755679190158844,
-0.37040451169013977,
-1.2079442739486694,
0.229464590549469,
-0.44466662406921387,
-0.040517002344131... |
Given the task definition and input, reply with output. This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answe... | waves of contraction and expansion that sweep along the body | 5 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.524011492729187,
1.0886993408203125,
-0.18116618692874908,
0.042638909071683884,
-0.23827823996543884,
-0.3481813669204712,
0.31766456365585327,
0.10997788608074188,
-0.12928426265716553,
-0.15931357443332672,
-0.03828801214694977,
0.1155262142419815,
-0.9171203970909119,
0.127959057688... |
Given the task definition and input, reply with output. 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.
Category: EARTH SCIENCE
Clue: The sli... | humidity | 5 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-1.471603274345398,
0.776757538318634,
-0.25263404846191406,
-0.46898600459098816,
-0.48500701785087585,
-0.5052911639213562,
0.19566276669502258,
-0.6154292821884155,
0.16843576729297638,
-0.08110266923904419,
-0.38836079835891724,
-0.13067427277565002,
-0.023908786475658417,
0.0850115716... |
Part 1. Definition
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 prob... | शायद आप शिक्षक के हाथों में एक किताब ढूँढ़ सकते हैं । | 7 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.676863968372345,
0.5810369849205017,
0.40349721908569336,
-0.22105027735233307,
-0.2707936465740204,
-0.6113445162773132,
0.4033413231372833,
0.675644040107727,
-0.16370615363121033,
-1.1574583053588867,
-0.9885127544403076,
0.043097443878650665,
-0.43648892641067505,
0.0408848077058792... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Input: あなたが知っているのはあなたには特定の信条があるということだけです
Output: | Sólo sabemos que tenemos ciertas creencias. | 2 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.5904769897460938,
-0.3688000738620758,
-0.1168123185634613,
0.05471069738268852,
-0.3514399528503418,
-1.3046729564666748,
0.7096326947212219,
0.29475530982017517,
0.2763994336128235,
-0.7231910228729248,
-0.2634027600288391,
0.004246933851391077,
-0.27196767926216125,
0.272295922040939... |
Teacher: In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always ... | eM507533472551kY60553099aCCU | 2 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.1231861412525177,
0.0885225236415863,
-0.5390684604644775,
-0.8459978103637695,
-0.18838024139404297,
-0.5571149587631226,
0.324144572019577,
0.20732071995735168,
-0.710357666015625,
0.23153746128082275,
-1.0596319437026978,
-0.08559753000736237,
-0.14936542510986328,
-0.367433428764343... |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Problem:AWvTImeFbonzN, iKdACmeFboYf
Solution: | a, b, e, f, i, m, n, o, t, v, w, z | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
0.7617089748382568,
1.1262441873550415,
0.13845887780189514,
-0.6916380524635315,
0.09130528569221497,
0.25774383544921875,
1.3158948421478271,
-0.06417055428028107,
-0.04739382863044739,
-0.08918355405330658,
-0.6359046101570129,
-0.6367205381393433,
-0.5345689058303833,
0.201733916997909... |
Detailed Instructions: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: Not sure why they decided to mess with a good thing. We've cancelled our subscriptions to both the Chick Chick and Salmon HappyBaby pouc... | Negative | 9 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.5717465877532959,
-0.4820224940776825,
0.09382878243923187,
-0.49340298771858215,
0.36232563853263855,
-0.19158919155597687,
1.0848491191864014,
-0.23841612040996552,
-0.10087399184703827,
0.32566767930984497,
-0.06784477829933167,
-0.06772810220718384,
-0.4564301073551178,
-0.650489270... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
One example: Spr Ithan sariyana valli
So... | Not in Expected Language | 6 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.2722102701663971,
-0.16478344798088074,
0.5834165811538696,
0.47050178050994873,
-0.12306632101535797,
-0.9859092831611633,
-0.1356462836265564,
0.6366009712219238,
-0.6907100677490234,
0.43593674898147583,
-0.07608626782894135,
0.27496999502182007,
-0.34365302324295044,
-0.494768798351... |
In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in total which are 'SINGLE_S_C... | SINGLE_S_COORD_ANAPHORA | 0 | NIv2 | task564_discofuse_classification | zs_opt | [
-0.32378870248794556,
0.22994041442871094,
0.08769162744283676,
-0.22753295302391052,
-0.4250098466873169,
-0.31265366077423096,
0.19415819644927979,
0.5345534086227417,
-0.36295801401138306,
-0.12607716023921967,
-0.04627787321805954,
-0.573101282119751,
-0.42562592029571533,
-0.004327249... |
Teacher: 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 reasonable probabilit... | 如果你保证去看电影 那你应该拿点钱 | 2 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.100224070250988,
0.034283027052879333,
-0.35407400131225586,
-0.336601197719574,
0.28046518564224243,
-0.5697021484375,
0.15311546623706818,
1.0054593086242676,
-0.08525426685810089,
-0.09686189889907837,
0.21629400551319122,
-0.017750117927789688,
-0.25758233666419983,
-0.45652398467063... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example input: I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Example output: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندارد با یک غریبه این نقش را بازی ک... | در این ضمن تنها عاملی که او را نگه داشت چهل دلاری بود که از مجلهی موش سفید گرفته بود، | 3 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.09939684718847275,
1.0823179483413696,
-0.45137155055999756,
0.0643274113535881,
-0.525944709777832,
-0.44639286398887634,
1.2770153284072876,
0.43181145191192627,
0.2104918360710144,
0.10065747052431107,
0.16591204702854156,
0.6580260992050171,
-0.47789812088012695,
-0.3956708610057831,... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
-0.1712777465581894,
0.4931647777557373,
0.2006046175956726,
-0.07338564097881317,
-0.31330543756484985,
-0.3581539988517761,
1.2753921747207642,
0.4005579948425293,
-0.8859760761260986,
-0.4368865191936493,
-0.6025314927101135,
-0.05782452970743179,
-0.6558842062950134,
0.2848392128944397... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Example input: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Example output: Con el crecimiento, los países y las sociedades ingres... | Pero primero, tengo que contarles una historia, mi historia, sobre la historia de este país en el que todos Uds. están hoy. | 3 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.8901975154876709,
0.3604058027267456,
0.4508775770664215,
-0.03610967844724655,
-0.421417236328125,
-0.30032700300216675,
-0.3678855299949646,
1.0793161392211914,
-0.570107638835907,
-0.40018850564956665,
-0.5639089941978455,
-0.025715379044413567,
-0.24501290917396545,
-0.1661798059940... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Example: Question: The government of ... | Solution: warmer | 5 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.43674084544181824,
0.15238706767559052,
-0.6535150408744812,
-0.1906082034111023,
-0.4171903729438782,
-0.9626741409301758,
0.22051465511322021,
1.2437450885772705,
-0.5346847176551819,
0.38812655210494995,
-0.542310357093811,
-0.5596232414245605,
-0.41130495071411133,
-0.00942004285752... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Pero comenzamos con la idea de un niño por vez.
Solution: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Reason: The Spani... | אבל, היא אמרה, "הם לא נגעו בשדיי." | 2 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7360371351242065,
0.3489306569099426,
0.04998346418142319,
-0.3605581521987915,
-0.5502833127975464,
0.07818255573511124,
0.9814649224281311,
0.6621395945549011,
0.2168213129043579,
-0.49672022461891174,
0.19246986508369446,
0.31129735708236694,
-1.171048641204834,
-0.41779768466949463,... |
Q: 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 det... | Yes | 7 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.25169917941093445,
0.36393916606903076,
0.07961972057819366,
-0.3156822919845581,
-0.6406418085098267,
-1.0478456020355225,
1.3282095193862915,
0.6344560384750366,
-0.689073920249939,
-0.22396939992904663,
-0.2794216573238373,
-0.23388154804706573,
-0.7515137791633606,
0.2479437887668609... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Q: Context: Coming off their home win over the Lions, the 49ers flew to the Louisiana Superdome for a Week 4 duel with the New Orleans Sa... | lance moore | 4 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.8008744716644287,
0.5989152193069458,
-1.1969010829925537,
0.6305064558982849,
0.22385916113853455,
0.10009964555501938,
-0.004931916017085314,
0.4006428122520447,
-0.1800777167081833,
0.5440638065338135,
0.44674360752105713,
0.00366509472951293,
-0.7396251559257507,
0.20074313879013062,... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: アフガニスタンでのカナダの兵士による10歳の少年の銃撃死は、反撃と報復の恐怖を引き起こした。
A: | ຄົນທີ່ຖືກຍິງຕາຍ ອາຍຸ 10 ປີ ໂດຍທະຫານການາດາ ທີ່ ອັຟການິສຖານ ໄດ້ເພີ່ມທະວີຄວາມຢ້ານກົວຂອງ ຜົນກະທົບທີ່ຮ້າຍແຮງ ແລະ ການຕອບໂຕ້. | 9 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.5298256874084473,
0.012893092818558216,
-0.5512872934341431,
-1.5443792343139648,
-0.38063520193099976,
-0.7477495670318604,
0.5065532922744751,
0.37000957131385803,
-0.5741233825683594,
-0.12939585745334625,
-0.4901064932346344,
0.1781013011932373,
-1.6985418796539307,
0.518022358417511... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Original
| 1 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.4816717505455017,
0.9311407804489136,
0.3739522099494934,
0.08629021048545837,
-0.12721441686153412,
-0.7295477390289307,
0.4237309396266937,
0.7916175723075867,
0.11426522582769394,
-0.2705828845500946,
-0.645171046257019,
-0.19801968336105347,
-0.826056182384491,
0.02492080256342888,
... |
TASK DEFINITION: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respecti... | RcfnsMou, qnHfnsPy
| 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.32884296774864197,
0.8279718160629272,
-0.2969788908958435,
0.06662197411060333,
0.16196539998054504,
0.3147907853126526,
0.573355495929718,
-0.2766491174697876,
0.0731876865029335,
-0.013426855206489563,
-0.8245696425437927,
-0.49811694025993347,
-0.16158205270767212,
0.1593751311302185... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) ... | 300 North LaSalle is located in Chicago, Illinois, where Rahm Emanuel is a leader. | 0 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-1.1359950304031372,
0.6199648380279541,
-0.5508094429969788,
-0.6922883987426758,
-0.6685025691986084,
0.18975341320037842,
0.9982326626777649,
0.24341675639152527,
0.05712682753801346,
0.10177316516637802,
-0.7280713319778442,
0.6482818126678467,
-0.24503564834594727,
0.0869576558470726,... |
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 an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['q', '31', 'a', 'd', '53... | 0, 1, 2, 3, 4, 9 | 0 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.046243175864219666,
-0.1817907691001892,
-0.578517735004425,
-0.8291820287704468,
0.3410157561302185,
0.5004713535308838,
0.8935250043869019,
0.16196680068969727,
-0.3374469578266144,
0.4934985041618347,
-0.2150564193725586,
-0.3780619502067566,
-0.3417398929595947,
-0.215614452958107,
... |
Teacher: 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 non-personal depending on ... | non-personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.7555389404296875,
0.018873173743486404,
0.4072313606739044,
-0.004224402830004692,
-0.26850539445877075,
-0.6737409234046936,
0.6767101287841797,
0.4909142553806305,
-0.12487276643514633,
0.09109261631965637,
-0.43257299065589905,
-0.22579683363437653,
-0.12805062532424927,
-0.337993144... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Tworzyłam te bardzo bogate, bardzo złożone okładki płyt, nie jako postmodernistka czy historycystka — nawet nie wiedziałam, co to.
Output: | فحصلت على أغلفة اسطوانات غنية ومحكمة التصميم ليس لأنني كنت عصرية أو غير عصرية لأنني لم أكن أعلم حقيقة هذه الأشياء | 1 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.9314525127410889,
0.2813411355018616,
-0.247819721698761,
-0.4408404231071472,
-0.3386577367782593,
0.5169451236724854,
0.5371271371841431,
0.020005349069833755,
0.41278767585754395,
0.051187802106142044,
0.011970579624176025,
-0.13218195736408234,
-0.41497665643692017,
0.06759594380855... |
Given the task definition and input, reply with output. In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: Bob was doing the dishes. Sente... | a | 5 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.21159155666828156,
0.3653033971786499,
0.17543846368789673,
0.12157125771045685,
-0.19318711757659912,
-0.10904167592525482,
0.2841235101222992,
0.8574370741844177,
-0.018898656591773033,
-0.015159586444497108,
-0.524139940738678,
-0.052394092082977295,
-0.0988272875547409,
-0.155503556... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Agregou que había por diante desafíos máis grandes, o desafío da pobreza, do cambio climático e dos retos globais que necesitan solucións glob... | より大きな挑戦が待ち受けていると言います貧困への挑戦気候変動への挑戦グローバル規模の解決策が必要な挑戦ですそれには真のグローバル社会が必要です | 1 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.8811240792274475,
0.32692259550094604,
-0.005892142187803984,
-0.43036752939224243,
-0.18992860615253448,
-0.30081790685653687,
0.9583658576011658,
0.1429167240858078,
-0.5490920543670654,
-0.6250016093254089,
-0.4480971693992615,
-0.4134102463722229,
-0.6117047071456909,
0.657802104949... |
Teacher: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember t... | She prefers staying in her room over staying in the garden, because it's colder in the _ . | 2 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7231929302215576,
-0.011734044179320335,
0.0539686381816864,
-0.3902781009674072,
0.7194715142250061,
-0.9530887007713318,
0.7610132694244385,
1.1646268367767334,
-0.6003379225730896,
-0.23778453469276428,
-0.334048867225647,
0.2082127332687378,
-0.3752296566963196,
-0.08940981328487396,... |
Given the task definition and input, reply with output. 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'... | agent | 5 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.7003825306892395,
0.2144583761692047,
-0.4876697063446045,
0.2243165820837021,
-0.6862093210220337,
-0.4696844816207886,
0.44893109798431396,
-0.5694029331207275,
0.0008939404506236315,
-0.20506156980991364,
-0.47960159182548523,
-0.05658634006977081,
-0.12264186143875122,
0.35098186135... |
Teacher:In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence descri... | the travelers wait for their luggage at the airport | 6 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.23371125757694244,
-0.07028146833181381,
-0.7060683965682983,
-0.5539803504943848,
-0.1648634970188141,
-0.5952431559562683,
0.11021328717470169,
0.7928225994110107,
-0.007678409107029438,
-0.14307861030101776,
-0.32651740312576294,
0.31199175119400024,
-0.47703951597213745,
-0.42333167... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Ex Input:
Wiele rzeczy, z którymi kobieta spotyka w swoim codziennym życiu - powietrze którym oddycha, jedzenie i picie, które spożywa, substancje chemiczne na które jest narażona, nawet emocje które przeżywa - są dzielone w... | [pero] si es pensado razonablemente, puede ser tremendamente entretenido.
| 1 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.7027968764305115,
0.35050418972969055,
-0.5995067954063416,
-0.001228280714713037,
-0.6046037673950195,
-0.35272204875946045,
0.5191837549209595,
0.358263224363327,
0.12693357467651367,
-0.27817845344543457,
-0.3722788095474243,
0.467365026473999,
-0.7647327780723572,
0.3084703683853149... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
[Q]: Title: Boxing. Sen... | 25143
| 5 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.1367151290178299,
-0.20907354354858398,
-0.2749056816101074,
-0.09937639534473419,
0.31322407722473145,
-0.3400101065635681,
-0.042296431958675385,
0.897201418876648,
0.020337138324975967,
-0.2805880904197693,
-0.877812385559082,
-0.3341362774372101,
-0.516775369644165,
-0.14801706373691... |
The task is to generate the correct answer for a given math problem.
Q: Problem: 892.7 – 573.07 – 95.007 = ?
A: | 224.623 | 4 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
-0.9361786842346191,
1.1406806707382202,
-0.24564121663570404,
-0.39151957631111145,
-0.6862994432449341,
0.2392726093530655,
-0.9625833034515381,
0.08807741850614548,
0.810165524482727,
-0.1521664410829544,
-0.007240240462124348,
0.06731711328029633,
-0.5010747909545898,
0.787770390510559... |
Part 1. Definition
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or pa... | Yes | 7 | NIv2 | task456_matres_intention_classification | fs_opt | [
-0.12465844303369522,
0.6948618292808533,
-0.21784982085227966,
0.18217778205871582,
-0.04706430807709694,
-0.20955890417099,
0.9691507816314697,
0.5218701362609863,
0.32618749141693115,
0.06904034316539764,
-0.1446734070777893,
0.4094915986061096,
-0.7053649425506592,
0.22143146395683289,... |
Detailed Instructions: 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".
Problem:[header] How to find student accommodation in a foreign country [tit... | D | 8 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.9096558094024658,
0.5207901000976562,
-0.42550933361053467,
-0.7551855444908142,
-0.3056168556213379,
0.27323463559150696,
0.6895886659622192,
0.5108100175857544,
-0.15720079839229584,
0.6296501755714417,
0.40516039729118347,
-0.3311407268047333,
-0.06486813724040985,
-0.0699125826358795... |
Detailed Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Q: నథింగ్ '.
A: | Nothin'. | 9 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.19122470915317535,
0.6769980788230896,
0.9731588959693909,
0.8133313655853271,
0.5144224166870117,
-1.2670941352844238,
0.3447132110595703,
-0.013271014206111431,
-0.2878102660179138,
-0.2352980226278305,
-0.0866432636976242,
-0.18653133511543274,
-0.9654006958007812,
0.3002667129039764... |
Teacher: Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Fact: deep sea animals live deep i... | Seeds that stick in the fur of an animal? | 2 | NIv2 | task1398_obqa_question_generation | fs_opt | [
-0.467886745929718,
-0.3026576042175293,
-0.581771969795227,
-0.20000183582305908,
-0.47013628482818604,
-0.6645680665969849,
0.06147279217839241,
0.24572916328907013,
-0.4165172874927521,
-0.04938241466879845,
-0.24519795179367065,
0.5406104326248169,
-1.345110297203064,
0.070071145892143... |
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.
Ex Input:
i feel ecstatic despite being tired
Ex Output:
joy
Ex Input:
im not sure if all my stuff with andy as in me feeling annoyed at him was just my mes... | love
| 1 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-0.8783717155456543,
-0.3483108878135681,
0.5185074806213379,
0.6939128637313843,
0.08645536005496979,
-0.842293381690979,
0.1627763956785202,
0.4453822374343872,
0.4882606267929077,
0.0562438890337944,
-0.05111350864171982,
-0.0039056148380041122,
-0.4920850992202759,
-0.160936176776886,
... |
Teacher: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-speech tags i.e tagset of this corpus i... | . | 6 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.5427735447883606,
0.3139703869819641,
-0.20263825356960297,
0.2938351035118103,
-0.10884334146976471,
-0.9271054267883301,
0.4755329489707947,
0.7667089700698853,
-0.3418748378753662,
0.07626036554574966,
-0.36558234691619873,
0.39495551586151123,
-0.6782213449478149,
0.26445358991622925... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk right twice and jump left twice | 0 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.26836463809013367,
0.733099102973938,
-0.3749448359012604,
0.24239113926887512,
-0.08812449872493744,
0.39426738023757935,
0.03365037590265274,
0.8405946493148804,
-0.4431186318397522,
-0.06934341788291931,
-0.6393178105354309,
-0.6100270748138428,
-0.6288983821868896,
-0.175424188375473... |
Teacher: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-speech tags i.e. tagset of this corpus ... | PART | 6 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.9401538372039795,
0.18663667142391205,
-0.0859241783618927,
0.13558968901634216,
0.04937709867954254,
-0.8160202503204346,
0.8857070207595825,
0.7408493757247925,
-0.4537031650543213,
-0.2500908672809601,
-0.259949654340744,
0.3194992244243622,
-0.6948974132537842,
0.33786556124687195,
... |
Teacher:In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
Teacher: Now, understand the probl... | False | 6 | NIv2 | task520_aquamuse_answer_given_in_passage | zs_opt | [
0.38435953855514526,
-0.5352622270584106,
-0.08219379186630249,
-0.5904833078384399,
-0.08906134963035583,
-0.5454447269439697,
0.7925338745117188,
1.0119131803512573,
-0.9525554180145264,
0.2150631546974182,
0.13207542896270752,
-0.21482515335083008,
-0.6955959796905518,
0.452444761991500... |
Detailed Instructions: 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 are also given a question about the s... | organism B. | 9 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.7997432947158813,
-0.05813882499933243,
-0.20268355309963226,
-0.2558640241622925,
-0.3674324154853821,
-0.8095135688781738,
-0.38690710067749023,
0.749817967414856,
-0.2785941958427429,
0.21692776679992676,
-0.9313783645629883,
-0.3713679909706116,
-0.3409382700920105,
0.356161832809448... |
Q: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Sentence1: Chuck loves this bar by his house. Sentence2: He goe... | A | 7 | NIv2 | task296_storycloze_correct_end_classification | zs_opt | [
-0.14065000414848328,
0.9455392360687256,
-0.11867787688970566,
-0.9887464046478271,
-0.11604522913694382,
-0.3489227294921875,
0.45720475912094116,
0.24222417175769806,
0.43928396701812744,
0.32157978415489197,
-0.6337182521820068,
-0.1898455023765564,
0.14687131345272064,
-0.228176310658... |
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'.
One example: Person1: Passport , please , madam .
Person2: Just a minute , please . It's in my bag . Here it is .
Pe... | 0 | 6 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.2009495198726654,
0.5918587446212769,
-0.6872503757476807,
0.08978961408138275,
0.16614782810211182,
-0.313285231590271,
0.98675537109375,
-0.12386853992938995,
0.4749441146850586,
-0.08891956508159637,
-0.17223215103149414,
-0.437709242105484,
-0.5074931383132935,
-0.15704584121704102,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Washington
| 6 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.2483922839164734,
0.51408451795578,
0.05088053643703461,
-0.5475696325302124,
0.3390137553215027,
-0.054574910551309586,
0.3981100618839264,
0.6307151317596436,
-0.544074296951294,
0.2783738970756531,
-0.5072913765907288,
0.42011958360671997,
-0.8491294384002686,
0.38837382197380066,
-... |
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using p... | the fair is nice | 7 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.30802133679389954,
0.16796772181987762,
0.7292054891586304,
-0.5360888838768005,
0.42536818981170654,
-0.5016642808914185,
-0.4365125894546509,
0.4816800355911255,
0.1926199495792389,
-0.15666502714157104,
-0.8415342569351196,
-0.5382477641105652,
-0.861079216003418,
-0.3075598478317261... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Q: گوجه فرنگی یا بادنجان رومی یکی از سبزیجات و با میوهای سرخرنگ و خوشبو و آبدار... | True | 4 | NIv2 | task396_persianqa_classification | zs_opt | [
0.3619394898414612,
0.5032452940940857,
-0.19713914394378662,
-0.1672607958316803,
-0.2438124269247055,
-0.7354696989059448,
0.6687429547309875,
1.2979145050048828,
-0.4878053665161133,
0.13094446063041687,
-1.0215237140655518,
0.9533868432044983,
-0.27478325366973877,
0.24233075976371765,... |
instruction:
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
question:
1, ['8843', '3683', 'd', '59']
answer:
8843, 3683, d, 59
question:
5, ['1775', 'A', 'Z', 'I', '443', '1005', '1243', '5579', '6213', '9745', '... | 9767, 2753, 3439
| 9 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.7971830368041992,
-0.3002709746360779,
-0.44540274143218994,
-0.7071370482444763,
-0.5189259052276611,
-0.30355727672576904,
0.9809482097625732,
0.3183539807796478,
-0.5959667563438416,
0.3566480576992035,
-0.4632250666618347,
-0.16228920221328735,
-0.39331549406051636,
0.519023895263671... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if th... | yes | 1 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.195063591003418,
-0.19862820208072662,
0.3959534466266632,
-0.020227305591106415,
0.2628788352012634,
-0.43369293212890625,
0.4989858865737915,
0.02495557628571987,
0.08486906439065933,
0.21950337290763855,
-0.16098903119564056,
-0.3919394612312317,
-0.015161051414906979,
-0.71451926231... |
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: अनगिनत सफलताओं के बावजूद इंसान ने हर युग में अपनी जि... | In spite of innumerable failings ; , man , throughout the ages , has sacrificed his life and all he Held dear for an ideal , for truth , for faith , for country and honour . | 3 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
0.29673266410827637,
0.8376155495643616,
0.6038366556167603,
-0.2932475507259369,
0.24432584643363953,
-0.19889026880264282,
0.24740362167358398,
0.10756959021091461,
-0.8454923629760742,
-0.2691795229911804,
-0.8742645382881165,
-0.20044350624084473,
-0.46128571033477783,
0.17701724171638... |
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