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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answ... | If blood volume in the body decreases, blood pressure decreases. | 1 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.44568735361099243,
0.7273744344711304,
-0.06410576403141022,
-0.4128192365169525,
-0.11859817057847977,
-0.4217146933078766,
1.2874290943145752,
0.9609524011611938,
0.3462042808532715,
-0.5777976512908936,
-0.2186886966228485,
-0.019892442971467972,
-0.08322327584028244,
0.2251079380512... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Let me give you an example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
The answer to this example can be: وقتی به این جام... | و برای انجام آن ، به آموزش غربی نیاز دارند. | 8 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.0367317199707031,
0.934870719909668,
-0.10376691818237305,
-0.5780537128448486,
-0.1957220733165741,
-0.5047765970230103,
0.6170238852500916,
0.6657393574714661,
-0.15899232029914856,
-0.09299398958683014,
-1.0695022344589233,
0.5364518165588379,
-0.3582766354084015,
-0.0058423802256584... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: Who is elected as vice president of india?
Output: | Who is elected as vice president of india in 2017? | 3 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.6122006177902222,
0.38866671919822693,
0.3291746973991394,
0.9567916393280029,
0.12698204815387726,
-0.19425642490386963,
0.46144169569015503,
-0.03870805352926254,
0.02322683110833168,
0.11098755896091461,
-0.3293324410915375,
-0.393596887588501,
-0.38876980543136597,
0.387092083692550... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: However, DOD policy still lacks criteria to be used to capture specific design and ... | 1 | 0 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.6169968843460083,
0.19979313015937805,
0.38562172651290894,
-0.4430951476097107,
-0.27243876457214355,
0.37338560819625854,
-0.02201044000685215,
1.0052878856658936,
-0.4396476149559021,
0.33895623683929443,
-0.43703144788742065,
-0.9503483772277832,
-0.19184082746505737,
-0.61735999584... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WRB RB VBZ DT NN WDT VBZ DT JJ NN VBN IN NNP NNP IN DT NNP NN .
| 7 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.3271319270133972,
0.6381478309631348,
-0.4973174035549164,
0.35381484031677246,
-0.31866899132728577,
-0.32034164667129517,
0.7754985690116882,
0.6861993074417114,
-0.29914525151252747,
-0.3004152774810791,
-0.6787062883377075,
0.9301460981369019,
-0.7638694047927856,
-0.090729102492332... |
Teacher: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes an... | Yes. | 2 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.2336292415857315,
0.10139414668083191,
-0.04358867183327675,
0.25777801871299744,
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0.13776402175426483,
-0.2118295580148697,
0.05760863795876503,
0.2078702449798584,
-0.298384726047515... |
In this task your given two statements in Chinese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: 我昨天在健身房锻炼。
我今天醒来时肌肉酸痛。
A: | effect | 4 | NIv2 | task1185_xcopa_commonsense_cause_effect_zh | zs_opt | [
-0.4598449170589447,
0.4156021773815155,
-0.34427815675735474,
-0.5924347639083862,
0.07587527483701706,
0.024804696440696716,
0.028265755623579025,
0.8978433609008789,
0.5568100810050964,
-0.7500619292259216,
-0.7802016139030457,
0.05806597322225571,
-0.25313612818717957,
0.22475364804267... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Japanese 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... | There is a growing interest in women's sports, especially women's national teams in general here in Australia. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.061646461486816406,
0.228617861866951,
0.2324327677488327,
-0.604300856590271,
0.48299285769462585,
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0.5232199430465698,
0.5194109082221985,
-0.014501499012112617,
-0.6196273565292358,
-0.3612201511859894,
-0.1698758453130722,
-0.5228022336959839,
-0.23844438791275024... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Ma per andare da dove mi trovavo a dove avrei voluto essere, avevo bisogno di qualcosa.
Output: | اما برای رفتن از جایی که بودم به جایی که می خواستم باشم به چیزی نیاز داشتم. | 3 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.37351474165916443,
0.9365081787109375,
-0.9790298342704773,
0.08646503835916519,
-0.08429265767335892,
-0.20218884944915771,
-0.5682978630065918,
0.5187055468559265,
-0.1256103813648224,
0.13243764638900757,
-0.949169397354126,
-0.12474530190229416,
-0.9930306673049927,
-0.11826267838478... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is... | [196, 64, 30] | 1 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.16102640330791473,
0.7785208225250244,
-0.3942646384239197,
-0.314203143119812,
0.06095360964536667,
-0.06018093600869179,
0.7248915433883667,
0.6555079221725464,
0.16540098190307617,
0.16594760119915009,
-0.4255109429359436,
-0.23607037961483002,
-0.4656824469566345,
-0.234045922756195... |
You will be given a definition of a task first, then some input of the task.
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
The site collects your user profile for an add... | Additional service/feature | 1 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.9765433073043823,
-0.1466677188873291,
-0.7739803791046143,
0.05685210973024368,
-0.1757926493883133,
-0.7281187772750854,
0.04765740782022476,
0.12073510885238647,
0.05902805179357529,
0.8739873170852661,
0.3979666233062744,
-0.26471370458602905,
-0.5748769640922546,
-0.523746609687805... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Both vehicles collided with lemon trees at an orchard n... | 2台はともに、ディニューバの424通りと120道との交差点の近くにある果樹園のレモンの木に衝突した。 | 2 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.2277756631374359,
0.1012045219540596,
0.3705630302429199,
-0.7090022563934326,
0.3433457612991333,
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0.350320041179657,
0.13678747415542603,
0.06342829763889313,
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-0.12428313493728638,
0.18426558375358582,
-0.873060941696167,
0.4314590394496918,
0... |
You will be given a definition of a task first, then some input of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @cumk... | true | 1 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.5730781555175781,
0.5175914168357849,
0.5613499879837036,
0.4114704728126526,
-0.2062232792377472,
-1.1719214916229248,
-0.37455716729164124,
0.6439104080200195,
0.28929051756858826,
0.538334846496582,
-0.27682891488075256,
-0.48491406440734863,
-0.7146751284599304,
-0.7696588039398193,... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Q: name[xname], eattype[coffee shop], cuisine[French], price[moderate], rating[1 out of 5], location[city centre], familyFriendly[yes]
A: | xname is a French family-friendly coffee shop in the city centre. It is moderately priced and has a customer rating 1 out of 5. | 4 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.4442310929298401,
0.19226163625717163,
-0.7605056166648865,
-0.40965721011161804,
0.047134898602962494,
0.4593067765235901,
0.7796152830123901,
0.3318149149417877,
0.6347929239273071,
-0.8383987545967102,
0.20238184928894043,
-0.6700910329818726,
-0.3489883840084076,
0.05837802588939667... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Let me give you an example: Category: construction
Words: excavator, crane, pelican, hoist, upraise
The answer to this example can... | buck | 8 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.41609394550323486,
0.6864272356033325,
0.13232070207595825,
0.11807739734649658,
0.017077110707759857,
0.15311020612716675,
0.45137619972229004,
0.172297865152359,
0.339511901140213,
-0.3417947292327881,
-0.9338043928146362,
0.318120539188385,
-0.6686693429946899,
0.3826431632041931,
-... |
Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wron... | OTHER | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.0599818229675293,
0.8084416389465332,
-0.5162246227264404,
0.286639928817749,
-0.10255881398916245,
-0.3911093771457672,
-0.10052560269832611,
0.2533300518989563,
0.44167235493659973,
-0.0018398503307253122,
-0.04134432226419449,
0.7192862033843994,
-0.8753719329833984,
-0.34546667337417... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Q: Tagalog sentence: 16:1 Magdidiwang ka sa buwan ng Abib, at ipangingilin ang paskua sa Panginoon mong Dios: sapagka't sa buwan ng Abib inilabas ka ng Panginoon mong Dios sa Egipto sa g... | 16:1 Observe the month of Abib, and keep the Passover to Yahweh your God; for in the month of Abib Yahweh your God brought you forth out of Egypt by night. | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.11007752269506454,
0.643375039100647,
-0.32668614387512207,
-0.061499178409576416,
-0.9307430982589722,
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0.4109736979007721,
0.3526105582714081,
0.01310729794204235,
0.2671465277671814,
-0.06298577785491943,
0.07652151584625244,
-1.095545768737793,
0.1602906286716461... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: When did women get the right to vote in canada?
Output: | When did women get the right to vote in Manitoba, Saskatchewan, and Alberta Canada? | 3 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.3453270196914673,
0.7232401967048645,
-0.26336008310317993,
0.06119821220636368,
0.4483387768268585,
-0.7509551644325256,
0.3227284848690033,
0.8492035865783691,
0.5687682628631592,
0.3543824255466461,
-0.2549453675746918,
-0.2725899815559387,
0.03205890208482742,
-0.5659551024436951,
... |
Given the task definition and input, reply with output. In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'four bowls two containing veggies fruits and a pasta dish with a fifth container of salad dressing'. How many words en... | 2 | 5 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.6032469272613525,
0.957759439945221,
0.5846299529075623,
0.45379480719566345,
-0.5549567937850952,
0.7592456340789795,
0.20590779185295105,
0.3688185214996338,
0.010858103632926941,
-0.8937170505523682,
-0.21216973662376404,
-0.21969738602638245,
-0.368990421295166,
0.47020167112350464,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a 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 spea... | No emotion,No emotion,No emotion,No emotion | 0 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.2815691828727722,
-0.03426371514797211,
-0.4611535668373108,
-0.4788123667240143,
0.2016502022743225,
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0.9312224388122559,
0.5908764600753784,
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-0.7069079875946045,
-0.33755409717559814,
-0.5228695869445801,
0.2149231433868408... |
Instructions: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Input: 54716
Output: | No | 3 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.08747323602437973,
0.5843458771705627,
-0.031376585364341736,
-0.4876006841659546,
-0.3830929696559906,
0.07025541365146637,
0.5041335821151733,
0.7466775178909302,
0.013383042067289352,
0.1974843293428421,
-1.0300118923187256,
-0.20774711668491364,
-0.29098471999168396,
-0.464965373277... |
Definition: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: స్టార్ట్-అప్ సహకారం అంశం పై భారతదేశం మరియు రిపబ్లిక్ ఆఫ్ కొరియా కు మధ్య అవగాహన పూర్వక ఒప్పంద పత్రాని కి (ఎంఒయు) ప్రధాన మంత్రి ... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਪ੍ਰਧਾਨਗੀ ਹੇਠ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਸਟਾਰਟਅੱਪ ਸਹਿਯੋਗ ਬਾਰੇ ਭਾਰਤ ਅਤੇ ਕੋਰੀਆ ਗਣਰਾਜ ਦਰਮਿਆਨ ਸਹਿਮਤੀ ਪੱਤਰ ਨੂੰ ਆਪਣੇ ਕਾਰਜ ਉਪਰੰਤ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ । ਇਸ ਸਹਿਮਤੀ ਪੱਤਰ ‘ਤੇ ਫਰਵਰੀ 2019 ਵਿੱਚ ਦਸਤਖਤ ਕੀਤੇ ਗਏ ਸਨ । | 2 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
0.05543731525540352,
-0.38400521874427795,
0.04965469241142273,
-0.058649975806474686,
0.11683080345392227,
-0.29405832290649414,
0.05816297233104706,
0.9696180820465088,
0.15972860157489777,
0.0499892383813858,
-0.23320084810256958,
-0.6943094730377197,
0.1413218080997467,
0.6157398819923... |
Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer.
Q: Passage: Chemistry in Everyday Life CERN Particle Accelerator Located near Geneva, the CERN (“Conseil Européen pour la Recherche Nucléaire,” or European Council for Nuclear Research) Laboratory is the world’s p... | The large hadron collider is the biggest type of what invention, which boosts particles to high energies? | 9 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.0263635516166687,
0.741268515586853,
-0.19942723214626312,
0.04805950075387955,
0.8869317770004272,
-0.287605881690979,
-0.7043938636779785,
0.23202259838581085,
0.6507944464683533,
-0.3398381471633911,
-0.6109600067138672,
0.2817629277706146,
-0.6338937282562256,
0.17105868458747864,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: The debate is closed.
Example output: Jag förklarar debatte... | Det har hänt att gender har ingått i den obligatoriska introduktionskursen för nyanställda, men då bara en till två timmar per kurs. | 3 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
-0.7097324132919312,
0.6770874261856079,
0.06464395672082901,
-0.9284799098968506,
0.13696157932281494,
-0.20921048521995544,
0.6939928531646729,
0.1560402512550354,
0.8892337679862976,
0.11006093770265579,
-0.25073355436325073,
0.5036889910697937,
-0.6728388071060181,
-0.14432135224342346... |
TASK DEFINITION: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
PROBLEM: Context: Aubrey made Kendall's bed because Kendall was in a rush to go to the airport.
Answer: clear the bed... | What will Bailey want to do next?
| 8 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.1737845540046692,
0.6716350317001343,
-0.3090578317642212,
-0.96616530418396,
-0.3202821612358093,
0.37413913011550903,
0.7011801600456238,
0.14206618070602417,
0.17381244897842407,
0.4862224757671356,
-0.13811837136745453,
0.5490593314170837,
-0.7382481098175049,
0.03928360342979431,
... |
In this task, you are given a tuple, comprising 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... | No
| 6 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.6731188893318176,
-0.3059239387512207,
0.2503843307495117,
-0.3881857991218567,
-0.07019351422786713,
-1.0455210208892822,
0.7147031426429749,
0.8489949703216553,
-1.083735466003418,
-0.33313024044036865,
-0.18077608942985535,
-0.4898093044757843,
-0.30013561248779297,
0.0867735296487808... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
See one example below:
Problem: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi c... | TR: Sì, certo. (Applausi) BM: Invece di essere arrestato, picchiato, minacciato, dal momento in cui ho scoperto la mia voce, in cui ho potuto alzarmi per ciò in cui credevo, non ho più paura. | 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.2673530578613281,
0.9401765465736389,
0.25770702958106995,
0.05767105892300606,
-0.24704435467720032,
-0.6242952346801758,
0.4085448384284973,
0.9784190654754639,
0.1835397481918335,
0.0725037157535553,
-0.17566508054733276,
0.8060776591300964,
-0.7714040279388428,
0.022448185831308365,
... |
Q: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: Lawrence, the younger, had been a delicate youth. Cho... | 1 | 7 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.531997799873352,
0.30016255378723145,
-0.02323896810412407,
-0.5938536524772644,
-0.2544287443161011,
-1.1874792575836182,
0.30195122957229614,
0.8357264995574951,
0.0031207555439323187,
0.02961122989654541,
-0.26752376556396484,
-0.12178235501050949,
-0.8028754591941833,
-0.851908922195... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Input: Comment: Covfefe.
Out... | Non-toxic | 3 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.5262407064437866,
0.5898772478103638,
0.5925188660621643,
-0.16703230142593384,
-0.08740511536598206,
-0.44700947403907776,
0.880369246006012,
0.271272748708725,
0.49487966299057007,
0.38215702772140503,
0.05408923700451851,
-0.11341948807239532,
-0.5841265916824341,
-1.1196279525756836... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant ... | Billy feel(s) regret >Motivates> Bill feels guilty | 1 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.04294662922620773,
0.4165094792842865,
-0.2458515763282776,
0.626804769039154,
-0.16604533791542053,
-0.725051999092102,
-0.012204858474433422,
0.7686671018600464,
-0.2275189757347107,
-0.31616753339767456,
-0.5587331056594849,
-0.2807233929634094,
0.265701025724411,
-0.297021746635437,
... |
Teacher:Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Teacher: Now, understand the problem? Solve this instance: name an expensive liquid.
Student: | alcohol | 6 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
0.06649595499038696,
0.9209831953048706,
0.45044317841529846,
-0.8559146523475647,
-0.20567524433135986,
-0.8050137162208557,
0.2686220109462738,
0.9261720180511475,
0.191960871219635,
-0.2994661033153534,
0.3148440420627594,
-0.0861901342868805,
-0.7055139541625977,
-0.788989782333374,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
[Q]: Nie ma to jednak żadnego znaczenia, ponieważ wierzymy anegdotom, wierzymy w to, co widzimy, co się nam wydaje że widzimy, co sprawia, że czujemy się prawdziwi.
[A]: זה לא משנה, זה לא משנה כי אנחנו מאמינים באנקדוטות, אנחנ... | אני חושב על ערים חדשות כמו דובאי או עתיקות כמו רומא עם מוזיאון MAXXI המדהים של זאהה חדיד, או כמו כאן בניו יורק, עם קו הרקיע הגבוה כרך אשר הושפע כל כך על ידי הפיתוח הזה.
| 5 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.551134467124939,
0.05668170005083084,
0.4279654026031494,
-0.3251672089099884,
-0.6185516119003296,
-0.7504678964614868,
0.8744199275970459,
0.10595431923866272,
0.6247930526733398,
-0.6697533130645752,
-0.678372323513031,
0.8898860216140747,
-0.9023489952087402,
0.09112201631069183,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
i am ever feeling ... | anger | 0 | NIv2 | task875_emotion_classification | fs_opt | [
-0.4159618616104126,
0.211068794131279,
0.5008456707000732,
-0.3047105669975281,
0.44531702995300293,
-0.3429234027862549,
1.8157761096954346,
0.5480436086654663,
0.12470313906669617,
-0.21413131058216095,
-0.4487251341342926,
-0.04310516268014908,
-0.6796388626098633,
0.24474602937698364,... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
.
A: | We want to hear from you. | 7 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.3528236150741577,
1.2426499128341675,
-0.3132662773132324,
-0.41312551498413086,
-0.39242368936538696,
-0.7990428805351257,
-0.15104815363883972,
0.6102651357650757,
0.26610684394836426,
-0.16174912452697754,
0.6606289148330688,
0.6567972898483276,
-0.22401924431324005,
0.44793605804443... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Example input: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Example output: ten
Example explanation... | four | 3 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.5516652464866638,
0.7221109867095947,
-0.17075666785240173,
-0.14244773983955383,
0.12439854443073273,
-0.7145668268203735,
0.8011804819107056,
0.508245587348938,
-0.5334529876708984,
0.3211781978607178,
0.5242081880569458,
0.5331162214279175,
-1.238426685333252,
0.07368732243776321,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common s... | Unrelated | 1 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.0653524249792099,
0.38186508417129517,
-0.3179861903190613,
0.3883263170719147,
0.3063318729400635,
-0.45202696323394775,
0.08373024314641953,
1.3856006860733032,
0.07993131130933762,
0.15994584560394287,
-0.6762244701385498,
-0.2827374339103699,
0.12494112551212311,
-0.2919667959213257,... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
[EX Q]: I quite like it
[EX A]: Do you like the rap music genre?
[EX Q]: I'm a huge film buff.
[EX A]: Do you like to watch movies?
[EX Q]: I'd prefer not to
[EX A]: | Do you like to eat spicy food ?
| 6 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.24191877245903015,
0.3131462335586548,
0.0963151678442955,
0.3668312430381775,
-0.5435863137245178,
-0.07381794601678848,
0.342966228723526,
0.04803982004523277,
-0.2047976404428482,
-0.053309112787246704,
-0.15537887811660767,
-0.9278193712234497,
-1.1069490909576416,
-0.26060351729393... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the followin... | He made the disclosure, while speaking to State House correspondents, after he met with President Muhammadu Buhari.
| 3 | NIv2 | task1620_menyo20k-mt_yo_en_translation | fs_opt | [
-0.12498714029788971,
0.24077320098876953,
0.039778076112270355,
0.4572795629501343,
0.2599155306816101,
-0.7049293518066406,
0.49366605281829834,
0.8223205804824829,
-0.07712723314762115,
-0.2874371409416199,
-0.10499905794858932,
0.5577874183654785,
-0.5648542642593384,
0.004801140632480... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Ex Input:
Creo que así poderanse facer grandes cousas.
Ex Output:
それにより、素晴らしい結果が表れてくることを信じています。
Ex Input:
No Mar dos Sargazos, un bosque flotante de 3 millóns de millas cadradas está sendo apañado para alimentar vaca... | この天地創造のお話も同じように面白い話です
| 1 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.48936423659324646,
0.24125275015830994,
-0.07324805855751038,
-0.10712197422981262,
-0.3016934394836426,
-0.9358830451965332,
-0.0401044636964798,
0.3320160210132599,
-0.7101189494132996,
-0.4285017251968384,
-0.1916847974061966,
0.5107805728912354,
-0.5521137118339539,
0.41675272583961... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example input: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subj... | ratify | 3 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.3187580704689026,
0.3752075433731079,
0.16693677008152008,
-0.3722638785839081,
-0.26671531796455383,
-0.8239744305610657,
0.1262500286102295,
0.8712271451950073,
0.15294133126735687,
-0.38765931129455566,
-0.243011936545372,
-0.2746536433696747,
-0.09899581968784332,
0.2441278100013733... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Una cosa assolutamente normale o logica non sarà divertente. | Algo completamente normal o lógico no será divertido. | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.88553386926651,
1.0912349224090576,
-0.002370756585150957,
-0.7672589421272278,
-0.40121233463287354,
-0.3396660089492798,
-0.06880113482475281,
0.501828134059906,
0.5868511199951172,
-1.0684722661972046,
-0.6332851052284241,
-0.13037440180778503,
-0.15071028470993042,
0.002490042243152... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
One example: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Solution is here: Pero comenzamos con la idea de un niño por vez.
Explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is pres... | Como siempre, yo regresaba a Bangalore, y a las animadas charlas en casas de amigos, donde discutíamos sobre distintos temas mientras ellos se quejaban sobre los horarios de los pubs, donde un trago cuesta más de lo que ellos pagaban a su mucama de 14 años. | 6 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.49536430835723877,
0.282064288854599,
-0.2913392186164856,
-0.0987844243645668,
-0.8595352172851562,
-0.20032134652137756,
0.9419476389884949,
0.2913009822368622,
0.4640215337276459,
-0.8004810214042664,
-0.019066689535975456,
0.16725876927375793,
-1.2118048667907715,
0.3990738987922668... |
Teacher:Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produ... | Rain is also known as precipitation. | 6 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.18742521107196808,
1.0372872352600098,
-0.48246586322784424,
-0.5159874558448792,
-0.30835872888565063,
-1.1322696208953857,
0.03650445118546486,
1.2099605798721313,
-0.3208809494972229,
0.03359795734286308,
-1.1101504564285278,
0.6796875,
-0.5410299301147461,
-0.0761377364397049,
0.4... |
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) 'going out' with my ... | B | 1 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.4374845027923584,
0.5969310998916626,
0.17383022606372833,
-0.18589188158512115,
-0.587664783000946,
-0.14094653725624084,
0.374185174703598,
0.8011319637298584,
0.12087053060531616,
0.40894946455955505,
-0.17108353972434998,
-0.1494607925415039,
0.3494151830673218,
-0.6839127540588379,... |
Definition: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Crear una idea es para una iniciativa. | 2 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.03775245323777199,
0.6788123846054077,
-0.07256557792425156,
-0.5316360592842102,
-0.1628936380147934,
-0.7787303328514099,
0.6140384674072266,
1.257676362991333,
0.6683080792427063,
-0.8309286236763,
-1.0456607341766357,
0.06156330555677414,
-0.5133658051490784,
0.1462860405445099,
-... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
One example: Says the Annies List politica... | corporations | 6 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.10400499403476715,
0.20141328871250153,
0.1920044869184494,
-0.2648833990097046,
-0.3957363963127136,
-1.1631609201431274,
0.5819334387779236,
0.1033523827791214,
-0.1598949134349823,
0.481323778629303,
-0.6563135981559753,
0.025606103241443634,
-0.8113417625427246,
0.06481444835662842,... |
Q: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympatheti... | Sentence 1: PersonX didn't have a very attractive face like PersonY. _ had a difficult time getting a date.
Sentence 2: PersonX didn't have a very attractive face like PersonY. _ had an easy time getting a date. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.1651112139225006,
0.47448834776878357,
0.18805226683616638,
-0.4766087830066681,
0.11482593417167664,
-0.2127148061990738,
0.6878467798233032,
0.7298520803451538,
0.09380193054676056,
-0.5195260047912598,
-0.2512243390083313,
-0.22621804475784302,
-0.5729495286941528,
-0.1439477205276489... |
Detailed Instructions: In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Problem:Post: Homeland... | Generic | 8 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.2376654148101807,
0.575401782989502,
0.6594725847244263,
-0.34070080518722534,
-0.24728664755821228,
-0.9032446146011353,
0.9431146383285522,
0.22684407234191895,
0.15124055743217468,
0.4009828269481659,
-0.17600390315055847,
0.15737943351268768,
-0.6054203510284424,
-0.5375466346740723... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: Who is the ballet dancers?, Answer: <No Answer>
| 1 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.6122329235076904,
-0.10935072600841522,
-0.9050077199935913,
0.12274161726236343,
-0.0404837541282177,
-0.40215200185775757,
0.5718146562576294,
0.5993594527244568,
-0.12452606856822968,
-0.2501600384712219,
-0.23714429140090942,
-0.27657920122146606,
-0.5921164751052856,
0.2756249904632... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Problem:And if you don't have a grandmother, write to Mr. Domingos, he will like it.
Solution: | ואם אין לכם סבתא, כתבו למר דומינגוס, זה ימצא חן בעיניו. | 8 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.02278674766421318,
0.5308610200881958,
0.220175102353096,
-0.24245138466358185,
-0.5217384696006775,
-0.6319623589515686,
0.5062527060508728,
-0.21595150232315063,
0.3031174838542938,
-0.01221644040197134,
0.2833283245563507,
-0.004968220833688974,
-1.2414753437042236,
-0.18905559182167... |
Definition: 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 " A >causes/enables> ... | The funeral begins >Causes/Enables> The funeral ends | 2 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.0270587969571352,
0.6183998584747314,
0.18532678484916687,
-0.12441553175449371,
-0.14721646904945374,
-0.28658604621887207,
-0.08335648477077484,
1.2928390502929688,
0.029584232717752457,
0.0907755196094513,
-0.1425243318080902,
0.2795295715332031,
-0.012224127538502216,
0.1681020855903... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Ex Input:
['s', '... | 2, 3, 4
| 1 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.06772182881832123,
0.05036351457238197,
-0.5766504406929016,
-0.4180942475795746,
0.1737709790468216,
-0.437017023563385,
0.6309685707092285,
0.7605166435241699,
-0.6001977324485779,
0.5200139880180359,
-0.8163115978240967,
-0.01701260730624199,
-0.11931666731834412,
-0.2974463701248169,... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: కిర్గిజ్ రిపబ్లిక్ ను నేను సందర్శించనుండటం కిర్గిజ్ రిపబ్లిక్ తో పాటు ఎస్సిఒ సభ్యత్వ దేశాల తో మన సహకారాన్ని మరిం... | എന്റെകിര്ഗിസ് സന്ദര്ശനം ഷാങ്ഹായി സഹകരണ സംഘടനയിലെ അംഗരാഷ്ട്രങ്ങളുമായും കിര്ഗിസ് റിപ്പബ്ലിക്കുമായുള്ള നമ്മുടെ സഹകരണത്തെ കൂടുതല് ശക്തിപ്പെടുത്തുകയും ഉറപ്പിക്കുകയും ചെയ്യുമെന്ന് ഞാന് വിശ്വസിക്കുന്നു''. | 9 | NIv2 | task1050_pib_translation_telugu_malayalam | zs_opt | [
0.035178788006305695,
1.0431450605392456,
-0.3436887562274933,
0.33540087938308716,
0.15924106538295746,
-1.4769225120544434,
0.7416225671768188,
-0.1263110190629959,
-0.6926635503768921,
0.27221935987472534,
-0.06526443362236023,
-0.20923149585723877,
-0.9815632104873657,
1.09948790073394... |
Given the task definition and input, reply with output. In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Given the variety of the visual world there is not one true s... | Unsupervised optimization during inference gives top-down feedback to iteratively adjust feedforward prediction of scale variation for more equivariant recognition. | 5 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.4713226556777954,
-0.1434115767478943,
-0.0641510933637619,
0.3900662958621979,
0.22165927290916443,
-0.07389897108078003,
-0.15278956294059753,
1.1545675992965698,
0.46556997299194336,
0.5784173011779785,
-0.5705428123474121,
-0.032830871641635895,
-0.0719183087348938,
0.28085827827453... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | They go to the circus >Causes/Enables> They see dancing dogs | 4 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.683857798576355,
1.0308172702789307,
0.11256925761699677,
-0.3419795632362366,
-0.12210230529308319,
-0.6369436979293823,
0.24609461426734924,
1.037912368774414,
0.21337802708148956,
-0.5400182008743286,
-0.3732095956802368,
0.34113451838493347,
-0.31016361713409424,
-0.0881614834070205... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Teacher: Now, understand the problem? Solve this instance: Comment: '...his gun went of... | Non-insult | 6 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.8450366258621216,
0.6546249389648438,
0.9164568781852722,
0.5148625373840332,
0.3650027811527252,
-0.31746017932891846,
0.4758296012878418,
0.8137826919555664,
0.3092118799686432,
0.5273255109786987,
0.2322400063276291,
0.08766493201255798,
-0.826205313205719,
-0.6409257054328918,
0.1... |
Detailed Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first w... | Poland <B-LOC> 's labour ministry said this week it would send a team to Libya <B-LOC> to investigate , but Awdankiewicz <B-PER> said the probe was prompted by some nurses complaining about their work conditions such as non-payment of their salaries . | 8 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.8369008302688599,
0.4429064393043518,
-0.255815327167511,
-0.35552552342414856,
-0.34446197748184204,
0.49887120723724365,
0.884274959564209,
0.047895826399326324,
-0.16474825143814087,
-0.28937312960624695,
-0.6962895393371582,
0.46874845027923584,
-0.3170696496963501,
0.26835668087005... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A man is outside a plane.
| 5 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.2127804458141327,
0.6916317939758301,
0.10311482846736908,
-1.2284634113311768,
0.1902565360069275,
0.07697325199842453,
0.2738572359085083,
0.8325064778327942,
0.47385144233703613,
0.0065473709255456924,
-1.314501404762268,
-0.3611953854560852,
-0.40554726123809814,
-0.3393255770206451... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | weakener | 0 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.5613604784011841,
0.5917463302612305,
0.15333864092826843,
0.06801170855760574,
-0.27073022723197937,
-0.8278480768203735,
0.8613377213478088,
0.978034257888794,
0.2590283155441284,
-0.39370518922805786,
-1.3807902336120605,
-0.5641780495643616,
-1.0717869997024536,
-0.13598847389221191... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: பிரான்சும், இந்தியாவும் வெளிப்படையான, நம்பத்தகுந்த, பாதுகாப்பான, நிலைத்த, அமைதியான இணையவெளிக்கான உறுதிப்பாட்டை கொண்டுள்ளன.
A: | തുറസ്സായതും, ആശ്രയിക്കാവുന്നതും, സുരക്ഷിതവും, സുസ്ഥിരവും, സമാധാനപൂര്ണ്ണവുമായ ഒരു സൈബര് ഇടത്തിന് വേണ്ടിയുള്ള തങ്ങളുടെ പ്രതിബദ്ധത ഫ്രാന്സും ഇന്ത്യയും ഉറപ്പിച്ച് പറയുന്നു. | 4 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
-0.3267875909805298,
0.8204140663146973,
0.03390227258205414,
-0.8832758665084839,
-0.1693315953016281,
-0.4807451367378235,
0.2428438663482666,
-0.17172804474830627,
-0.33398887515068054,
0.5391265153884888,
-0.505852997303009,
-0.15248605608940125,
-0.2757476568222046,
-0.663249850273132... |
Definition: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Input: PersonX gets PersonX's shine box
Output: | mean | 2 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.28728780150413513,
0.5092196464538574,
0.07326418906450272,
-0.22472834587097168,
-0.2048773467540741,
-0.41519081592559814,
0.6227849125862122,
0.7762272357940674,
0.1125558540225029,
-0.22391368448734283,
-0.3081236481666565,
-0.006182505749166012,
-0.6496039628982544,
0.6681743860244... |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: महात्मा गांधीजींचे बालपण ते शिक्षण, दक्षिण आफ्रिका दौरा, विविध चळवळींमध्ये दक्षिण आफ्र... | শ্রী প্রকাশ জাভড়েকর রাষ্ট্রপতিকে মহাত্মা গান্ধীর সার্ধ জন্মশতবার্ষিকী উপলক্ষে তথ্য ও সম্প্রচার মন্ত্রকের বিভিন্ন উদ্যোগের কথা জানান। মন্ত্রক এক্ষেত্রে মানুষের কাছে পৌঁছনোর লক্ষ্যে সরকারের অন্যান্য মন্ত্রকের প্রয়াসের কথা শ্রী কোবিন্দকে জানান। | 6 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
0.159556046128273,
-0.31598204374313354,
-0.49186187982559204,
-0.7317267656326294,
-0.8323520421981812,
-1.1240047216415405,
0.48924916982650757,
0.07650071382522583,
0.05595613643527031,
-0.1645975112915039,
-0.6202667355537415,
-0.17232675850391388,
-0.3507101833820343,
-0.3572858572006... |
Teacher: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not genera... | B | 2 | NIv2 | task309_race_answer_generation | fs_opt | [
0.47867247462272644,
-0.1320347785949707,
-0.23642118275165558,
-0.49555784463882446,
0.2070508897304535,
-0.4590859115123749,
1.0270025730133057,
0.896836519241333,
-0.2728562355041504,
-0.09525027871131897,
-0.01433306559920311,
0.31687843799591064,
-0.48438388109207153,
0.08056457340717... |
Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Problem:Expansion quickly peaked however, and the European powers who had carved up the ... | Yes | 8 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.6905300617218018,
0.3230327069759369,
-0.18820464611053467,
-0.06767454743385315,
0.2606554329395294,
-0.7434711456298828,
0.1452002376317978,
0.9295336008071899,
0.40635359287261963,
0.39448869228363037,
-0.3190951347351074,
0.5507257580757141,
-0.9659061431884766,
-0.016338396817445755... |
Given the task definition, example input & output, solve the new input case.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that... | music. | 1 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.4329490661621094,
0.9507459402084351,
-0.33258888125419617,
0.6619464159011841,
0.32155609130859375,
-0.9216004610061646,
0.34808099269866943,
0.5856230854988098,
0.1013297289609909,
-0.05271527171134949,
-0.708516538143158,
0.22482819855213165,
0.0005975861568003893,
-0.2446893900632858... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | IN | 4 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.4314234256744385,
0.07308356463909149,
-0.2597239017486572,
0.12715306878089905,
0.4554207921028137,
-0.23006847500801086,
1.3984990119934082,
0.6288923025131226,
-0.5913379192352295,
-0.08802502602338791,
0.14041897654533386,
0.3565075397491455,
-0.7326560020446777,
0.2207283079624176,
... |
You will be given a definition of a task first, then some input of the task.
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and wil... | 98115055bo2841QS6989C | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.07491808384656906,
0.5989066958427429,
-0.6531909108161926,
-0.5813682079315186,
0.01876356638967991,
-0.17608331143856049,
0.25653159618377686,
-0.2915521264076233,
-0.13538610935211182,
0.18222001194953918,
-0.9336270093917847,
-0.028895501047372818,
0.2234058529138565,
-0.33446663618... |
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 answers that are incorrect or provides incomplete justificati... | Angola | 9 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.6997207403182983,
0.39042115211486816,
-0.07679705321788788,
0.011707802303135395,
-0.009709353558719158,
-0.6581653356552124,
0.7444112300872803,
0.4118737578392029,
0.7596946954727173,
0.27130138874053955,
0.20722031593322754,
-0.0952506735920906,
-0.7541248798370361,
-0.30587452650070... |
You will be given a definition of a task first, then some input of the task.
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i want the ball and all the books. YOU: you're welcome to have the ball. i'd like the hat, and three books. THEM... | Yes | 1 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.33359140157699585,
0.54314124584198,
-0.11530514806509018,
0.782639741897583,
0.30762362480163574,
-0.28933244943618774,
0.6687535047531128,
-0.10024849325418472,
0.49698731303215027,
-0.3219197988510132,
-0.023576967418193817,
0.16029387712478638,
-0.44778338074684143,
-0.17565636336803... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | His mother was proud that she chose the best one. | 4 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.08720722794532776,
1.1130635738372803,
0.14776363968849182,
-0.7788981199264526,
-0.5795107483863831,
-0.6383872032165527,
0.5102835893630981,
0.5153722763061523,
0.23886698484420776,
0.18402856588363647,
-0.42252033948898315,
0.6894453763961792,
-0.22140207886695862,
0.2243080139160156... |
Detailed Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 取引はTPLFの人道的な一派であるティグレ救済協会のメンバーによって監視されていた。... | Yes | 9 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5809546113014221,
-0.15179957449436188,
-0.017004380002617836,
0.4061691164970398,
0.20677122473716736,
-0.43186154961586,
0.4986693561077118,
-0.2713300883769989,
0.13957874476909637,
0.03554018586874008,
-0.8215997815132141,
0.03378424793481827,
-1.1410276889801025,
0.8102968335151672... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Example input: English sentence: Lionel Messi is the greatest football player of all time
Example output: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example explanation: T... | Waxa uu ahaa nin aad u xun oo si fiican u yaqaan nacayb Nabiga (Salla Allahu alihi wa Sallam) oo ay ku guulaysteen in ay dhiira uu qabiilka inay hubka qaadaan isaga ka gees ah. | 3 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.22134141623973846,
0.9274478554725647,
-0.13108259439468384,
-0.17101435363292694,
-0.005070342682301998,
-1.7871038913726807,
-0.2593454420566559,
0.08187255263328552,
0.31988024711608887,
-0.017647594213485718,
-0.17710092663764954,
1.4448399543762207,
-1.0159473419189453,
-0.35150051... |
TASK DEFINITION: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
PROBLEM: [[-28, 29, -2], [-21, -3... | [-14950, 1702, 16687]
| 8 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.2374730110168457,
-0.06696288287639618,
-0.9125701189041138,
-0.1545667201280594,
0.1404389888048172,
-0.25855499505996704,
1.2830278873443604,
0.7093201875686646,
-0.5236964225769043,
-0.2861376404762268,
-0.9060853123664856,
-0.043073102831840515,
-0.72265625,
0.040243927389383316,
-... |
TASK DEFINITION: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
PROBLEM: Groundhogs usually have ____ separate dens.
SOLUTION: two
PROBLEM: Cricket usually lays about five eggs, one every other da... | three
| 8 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.23197242617607117,
0.21818748116493225,
-0.23445744812488556,
0.049867428839206696,
-0.07984928786754608,
-1.0483425855636597,
0.6930848360061646,
0.3238709270954132,
-0.8554401397705078,
-0.39704829454421997,
-0.20712155103683472,
0.21828091144561768,
-0.7460671663284302,
-0.2582598626... |
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... | When was the artist who sang "Our Time Is Here" born? | 8 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.10533313453197479,
0.9347220659255981,
-0.7444136142730713,
0.4825342893600464,
-0.5445526838302612,
-0.7313731908798218,
0.3870496153831482,
0.4868800640106201,
0.4457373321056366,
-0.19641263782978058,
-0.712546706199646,
0.4521031379699707,
-1.2507786750793457,
0.38093888759613037,
... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
--------
Question: I love how fast my cups arrived. I will always get my k cups here! I can't wait to try something new.
Polar... | False
| 7 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
0.00044817617163062096,
-0.3326469361782074,
-0.0851292610168457,
-0.03305784985423088,
-0.12479913234710693,
-0.4005606174468994,
0.8847988843917847,
0.07027433812618256,
-0.31395673751831055,
-0.20483142137527466,
0.26358097791671753,
-0.07065121829509735,
-0.834070086479187,
0.171080023... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | None
| 6 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.5528448820114136,
-0.06648163497447968,
-0.22207070887088776,
0.1872715801000595,
-0.25194334983825684,
-0.028021734207868576,
0.8146347403526306,
0.5786805152893066,
0.06790813058614731,
0.10425736755132675,
-0.4846590757369995,
0.1192992776632309,
0.45529705286026,
-0.3086589574813843... |
Q: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Sentence 1: John's son wanted an rc car. Sentence 2: So he saved... | RC Car | 7 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.4204285740852356,
0.9449244141578674,
0.2676733732223511,
-0.2109154313802719,
-0.13529574871063232,
-0.44898802042007446,
0.15608951449394226,
0.6432349681854248,
0.22469741106033325,
0.018904339522123337,
-0.5854067802429199,
0.08615893125534058,
-0.9629727005958557,
0.124186791479587... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Problem:Mais iso non nos di que necesariamente tiñan linguaxe.
Solution: | 言語能力は別問題なんです | 8 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.21728326380252838,
0.302396297454834,
-0.012971606105566025,
-0.29682421684265137,
0.09628617018461227,
-1.027575969696045,
0.2619571089744568,
0.22933202981948853,
-0.4904308617115021,
-1.07867431640625,
-0.3466467261314392,
-0.4234219789505005,
-0.7110757827758789,
0.5191081762313843,... |
In this task, you are given a sentence in the Swedish 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).
Example: Jag förklarar debatten avslutad.
Example solution: The debate is c... | Solution: The functionalist approach has brought us to this point. | 5 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.21133488416671753,
0.6929905414581299,
0.7400537133216858,
-0.603966474533081,
-0.004618114326149225,
-0.7706060409545898,
0.8432999849319458,
0.1369088888168335,
0.4838300347328186,
-0.34947454929351807,
0.04934924468398094,
0.8161163330078125,
-0.6897532939910889,
0.11273287236690521,... |
In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. ... | SELECT Venue FROM debate ORDER BY Num_of_Audience ASC | 4 | NIv2 | task076_splash_correcting_sql_mistake | zs_opt | [
0.6681634187698364,
0.47457313537597656,
-0.9728356003761292,
1.088762640953064,
-0.2420881986618042,
-0.37341436743736267,
0.569087028503418,
0.552600622177124,
-0.3289005756378174,
0.667517900466919,
0.22039909660816193,
0.26685142517089844,
-0.284992516040802,
0.6315045356750488,
-0.0... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | for the score records of all rows , most of them are equal to 68 . | 0 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.0379323810338974,
-0.10210275650024414,
-0.2958029806613922,
0.02152247726917267,
-0.0023470157757401466,
-0.2658405005931854,
0.5816866755485535,
0.39817655086517334,
0.18426111340522766,
-0.23094338178634644,
-0.7488341927528381,
-0.24444404244422913,
0.011413591913878918,
0.6354531049... |
Detailed Instructions: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Problem:[-9.922, 131.617, 224.732, -71.793, 118.193, 8.945, 167.937, 129.757, -28.156, -98.7... | [-0.017 0.23 0.392 -0.125 0.206 0.016 0.293 0.227 -0.049 -0.172] | 8 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.48711681365966797,
0.12266119569540024,
-0.749087929725647,
-1.158566951751709,
-0.05622611939907074,
-0.15556927025318146,
0.4000779986381531,
-0.04857537895441055,
-0.6411394476890564,
-0.014779286459088326,
-0.7481417059898376,
0.42987796664237976,
-0.7282160520553589,
-0.22685538232... |
Q: Given a sentence in English, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
He has two sons : older Maharana Mahendra Singh and younger Arvind Singh .
A: | 그는 두 아들을두고 있습니다 : Maharana Mahendra Singh 장로와 젊은 Arvind Singh. | 7 | NIv2 | task777_pawsx_english_korean_translation | zs_opt | [
0.3258230686187744,
0.5820491313934326,
-0.48379218578338623,
-0.6299134492874146,
-0.021430499851703644,
-0.34930017590522766,
0.7782666683197021,
-0.2923576831817627,
0.45713722705841064,
-0.8288222551345825,
0.020650574937462807,
0.10333427786827087,
-0.6333611011505127,
0.3040128052234... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 1 | 4 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.10904929786920547,
0.13905060291290283,
-0.46295860409736633,
0.4610549807548523,
-0.01386028528213501,
0.10985246300697327,
-0.19742286205291748,
1.0726282596588135,
0.6383440494537354,
0.0028827672358602285,
-0.21311675012111664,
-0.6293201446533203,
-0.295731782913208,
-0.29871457815... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer w... | [70, 52, -94] | 1 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7429594993591309,
0.7766273021697998,
-0.056339748203754425,
-0.6043021082878113,
0.3317040205001831,
-0.23489747941493988,
1.0639348030090332,
0.10892864316701889,
0.5743119120597839,
0.42126962542533875,
-0.41253605484962463,
-0.25042158365249634,
-0.014964690431952477,
-0.18243078887... |
Definition: Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Input: Mark, wants to ask about how well the military can be brought into line. Again, there is no need to go any further than to any of the most recent leaders in history who di... | No | 2 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | zs_opt | [
-0.11224409937858582,
0.19858509302139282,
-0.6315696835517883,
0.48877400159835815,
-0.6467379331588745,
-0.5063009858131409,
0.9339620471000671,
0.4442024827003479,
0.47378426790237427,
0.34671077132225037,
-0.5671308636665344,
-0.10976698994636536,
-0.3149309754371643,
-0.65267521142959... |
Part 1. Definition
In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Part 2. Example
Question: Era un regalo popular y común este año, así que se d... | D | 7 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | fs_opt | [
0.0360204353928566,
0.6550496816635132,
0.07351740449666977,
-0.06053416430950165,
0.04950601980090141,
-0.19655725359916687,
0.7885001301765442,
0.8903441429138184,
-0.03906136751174927,
-0.4746868312358856,
-0.2804953455924988,
0.13363783061504364,
-0.1257704496383667,
0.0870456546545028... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
ஆக்கபூர்வமான ஒத்துழைப்புக்கான செம்மையான தளத்தை உருவாக்கும் அக்கறையுடன் தேச வளர்ச்சி அணுகுமுறைகள் மற்றும் பலநிலை ஒருங்கிணைப்புத் திட்டங்களில், பெரிய அளவிலா... | ਹਿੰਦ ਮਹਾਂਸਾਗਰ ਤੋਂ ਸਿਰਫ 90 ਨਾਟੀਕਲ ਮੀਲ ਦੂਰ ਹੋਣ ਦੇ ਬਾਵਜੂਦ ਭਾਰਤ ਅਤੇ ਇੰਡੋਨੇਸ਼ੀਆ ਦੇ ਦੋ ਸਦੀਆਂ ਪੁਰਾਣੇ ਸੱਭਿਅਤਾ ਵਾਲੇ ਸਬੰਧ ਹਨ।
| 0 | NIv2 | task1016_pib_translation_tamil_punjabi | fs_opt | [
0.2872197926044464,
0.34751489758491516,
-0.4046024680137634,
0.5032181143760681,
-0.17453108727931976,
0.09129776060581207,
0.8536997437477112,
0.8536692261695862,
-0.45284152030944824,
0.7093901038169861,
-0.9110283255577087,
0.14024470746517181,
-0.655484676361084,
0.17278815805912018,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: Sue tried to put the the beets in the jar on the shelf but the _ was too tight.
Answer1: jar.
Sentence 2: Sue tried to put the the beets in the jar on the shelf but the _ was too crowded.
Answer2: shelf. | 0 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.5782886743545532,
0.40724074840545654,
-0.04839508235454559,
-0.18222075700759888,
0.6920855045318604,
-0.6835772395133972,
0.4913209080696106,
1.0891839265823364,
-0.704688549041748,
-0.3559094965457916,
-0.42978620529174805,
-0.040339965373277664,
-0.6100040674209595,
-0.12634871900081... |
instruction:
In this task, you need to reverse the order of words in the given sentence.
question:
Sentence: a lot of food on a wooden table with a plant
answer:
plant a with table wooden a on food of lot a
question:
Sentence: the contents of an oversized handbag lie on a tabletop
answer:
tabletop a on lie handbag ov... | city a in track the along riding is train a
| 9 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.7352979183197021,
0.9393832683563232,
-0.4467427730560303,
-0.4808296263217926,
-0.27585864067077637,
-0.6952335834503174,
0.26438236236572266,
0.5992387533187866,
-0.41548559069633484,
-0.6639896631240845,
-0.7565064430236816,
0.08438828587532043,
-0.7037742137908936,
0.4046454429626465... |
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.
Input: Consider Input: Context_1 : The Cape Cod Rail Trail (CCRT) is a 22 mi paved rail trai... | Output: Karron Graves is best known for playing Mary Warren in what 1996 histroica drama written by Arthur Miller?
| 2 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.9820359945297241,
0.46464967727661133,
-0.7135991454124451,
-0.26914137601852417,
0.6344792246818542,
-1.016136884689331,
0.6570038199424744,
0.49325674772262573,
-0.6787534356117249,
0.025476709008216858,
-0.034925807267427444,
0.2449522316455841,
-0.08186282962560654,
-0.23809286952018... |
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 news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news hea... | Funny | 0 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.10861974954605103,
0.41007858514785767,
0.5332709550857544,
-0.11086735874414444,
-0.020412778481841087,
-0.34654420614242554,
0.34140080213546753,
0.6648006439208984,
-0.15411242842674255,
0.16995194554328918,
-0.44109705090522766,
-0.29118216037750244,
-0.43400317430496216,
0.118288867... |
Q: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write ... | acceptable | 7 | NIv2 | task616_cola_classification | zs_opt | [
-0.9442111253738403,
0.5920405387878418,
0.6690644025802612,
-0.10498999804258347,
-0.019263481721282005,
-1.2881063222885132,
0.08385086804628372,
0.5982140302658081,
0.3100907504558563,
0.24838316440582275,
-0.6135013699531555,
-0.3743009567260742,
-0.2108517289161682,
-0.343230664730072... |
Definition: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the defini... | no | 2 | NIv2 | task211_logic2text_classification | zs_opt | [
0.10805588960647583,
-0.36167240142822266,
-0.36103251576423645,
0.22539940476417542,
0.36457476019859314,
-0.6798853874206543,
0.03786805272102356,
0.4244760572910309,
0.19578152894973755,
-0.11453268676996231,
-0.2561298608779907,
0.055896271020174026,
0.2500007748603821,
0.2504545450210... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Q: @mattstottwrites For me not so much outrage as ‘oh, using female body to sell something, AGAIN’
A: | Angry | 9 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-0.952629566192627,
0.03377637639641762,
0.3352535367012024,
0.33170491456985474,
0.31144994497299194,
-1.0057501792907715,
-0.15771439671516418,
0.33974456787109375,
0.43017399311065674,
0.5350626111030579,
0.057979732751846313,
-0.05638071149587631,
-0.40091562271118164,
-0.2723142504692... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Output: Why? Because t... | But in our land, in this land, in USA-land, there are certainly some sweet Lesters out there, many of them in this room here today, but the vast majority of Lesters act for the Lesters, because the shifting coalitions that are comprising the .05 percent are not comprising it for the public interest. | 1 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.4779583811759949,
0.6848981976509094,
0.1876174956560135,
0.19873465597629547,
0.03547421097755432,
-0.3209393620491028,
-0.32096192240715027,
1.0991078615188599,
0.35224056243896484,
0.23233820497989655,
-0.4751051068305969,
0.6642422080039978,
-0.5036371946334839,
-0.18289105594158173... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Вероятно ще откриете завеса в хотелска стая.
| 1 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
-0.3919614553451538,
0.40729305148124695,
-0.16622859239578247,
-0.0048810020089149475,
-0.19577163457870483,
-0.3980787992477417,
0.5434983968734741,
1.5059232711791992,
0.16281576454639435,
-0.034641727805137634,
-0.9058476686477661,
1.310344934463501,
-0.5451231002807617,
0.260844022035... |
Part 1. Definition
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking th... | Place the L-profile on the board and using a drill press, drill a 1/8 inch hole through the L and through 1 inch of the board. Then screw the screw in the hole with a screwdriver. | 7 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.2124565988779068,
0.8222935199737549,
-0.5030906200408936,
0.02865610644221306,
-0.2371562421321869,
0.46145468950271606,
0.4680553674697876,
0.01995909959077835,
0.13881617784500122,
-0.22979004681110382,
-0.23936890065670013,
0.15058518946170807,
-0.10290509462356567,
0.44971203804016... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
See one example below:
Problem: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Solution: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Explanation: This is a good exam... | Oh, oh, our home is the sky now | 4 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7955276370048523,
0.644066333770752,
0.16975037753582,
-1.0670809745788574,
-0.4551731050014496,
-0.8973091840744019,
0.6601784229278564,
0.8481255769729614,
0.6775178909301758,
-0.8184100389480591,
-0.3189103603363037,
1.1903316974639893,
-0.14918507635593414,
0.41190099716186523,
0.... |
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