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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: The Little Red Book was required reading by whom?
A: | mao zedong | 9 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.4790028929710388,
0.6893472075462341,
0.05568648874759674,
-0.8144761919975281,
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0.9587768316268921,
-0.5753997564315796,
0.23109747469425201,
-0.7445047497749329,
-0.9323596954345703,
-0.24330714344978333,
-0.44116318225860596,
0.493743240833282... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
तब वह विकेट के पीछे खड़ा होकर हर उस गेंद को रोकने की कोशिश क... | Hindi | 0 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.36697641015052795,
0.6181942224502563,
0.3663242757320404,
0.2646239101886749,
-0.14908495545387268,
-0.2855377197265625,
0.17121188342571259,
0.4061799943447113,
0.3550903797149658,
-0.8747168779373169,
-0.9252508282661438,
-0.16990357637405396,
-0.2846331000328064,
-0.0238378457725048... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'ag... | -5808 | 1 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
0.13759377598762512,
0.7803239822387695,
-0.6820839047431946,
0.22574354708194733,
-0.3849698305130005,
0.029115350916981697,
0.6314976215362549,
0.8790830969810486,
0.04583316668868065,
-0.4548901319503784,
-0.898587167263031,
-0.3480316996574402,
-0.1821705400943756,
0.6551359295845032,
... |
Instructions: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', ... | tv | 3 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.1349310725927353,
0.20896491408348083,
-0.16469216346740723,
-0.11386634409427643,
0.4488063454627991,
-0.008655523881316185,
0.275393545627594,
0.6685041189193726,
-0.2813040018081665,
0.2147347629070282,
0.01575648784637451,
-0.38528743386268616,
-0.33404916524887085,
-0.1724296212196... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Input: Las empresas se vuelven, por naturaleza, menos innovadoras a medida que son más competentes.
Output: | 企業が成熟期を迎えると必然的に進化が衰えます | 2 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-1.2956544160842896,
0.42841795086860657,
-0.027782868593931198,
-0.7205742001533508,
-0.19288472831249237,
-0.37367749214172363,
-0.17072102427482605,
0.9129214286804199,
0.7057574987411499,
-0.3444864749908447,
-0.5976864695549011,
-0.4293690323829651,
-0.41487759351730347,
0.37388926744... |
Definition: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.... | what is the concept of global warming? | 2 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.5887790322303772,
0.4363561272621155,
-0.3187730610370636,
0.41033852100372314,
0.0816693902015686,
-1.819108486175537,
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0.26011815667152405,
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0.016806650906801224,
-0.5950232744216919,
0.29825153946876526,
-0.4092598557472229,
0.4527830481529236,... |
Instructions: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Input: Hydrocarbons compounds, which serve as fuels and are used in manufacturing, are called the driving force of western civilization.
Output: | What compounds, which serve as fuels and are used in manufacturing, are called the driving force of western civilization? | 3 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.24110053479671478,
1.1004276275634766,
0.36753836274147034,
-0.6623694896697998,
-0.5733686685562134,
-1.6224045753479004,
-0.013062268495559692,
0.7205277681350708,
-0.09585349261760712,
-0.42622625827789307,
-0.6677250862121582,
-0.42032957077026367,
-0.09876624494791031,
-0.5318753719... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Let me give yo... | 8 | NIv2 | task390_torque_text_span_selection | fs_opt | [
1.0324745178222656,
0.23310640454292297,
-0.4059597849845886,
0.3769071698188782,
0.4487871527671814,
-0.521409273147583,
0.8422272205352783,
0.7454134821891785,
-0.38198354840278625,
0.6020642518997192,
-0.5611168742179871,
-0.024026958271861076,
-0.9977006316184998,
0.007469316944479942,... | |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:אנחנו בברקלי ביוניקס קוראים לרובוטים אלה אקסוסקלטון (שלד מכני חיצוני).
Solution: | ما در "" برکلی بایونیکس "" به این روبات ها اگزو اسکلت (اسکلت بیرونی) می گوئیم. | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.7759915590286255,
0.6989023089408875,
-0.2636116147041321,
0.4497390389442444,
-1.0075925588607788,
-0.46969103813171387,
0.6092773675918579,
0.033270902931690216,
1.336379051208496,
-0.15623612701892853,
-0.9674458503723145,
1.3848638534545898,
-0.7729267477989197,
0.7303282022476196,
... |
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 generate anythi... | D | 4 | NIv2 | task309_race_answer_generation | zs_opt | [
0.4621207118034363,
0.2763507664203644,
-0.42064303159713745,
0.17619282007217407,
0.35752278566360474,
-0.3587211072444916,
0.5021902322769165,
1.061445713043213,
0.128066748380661,
-0.092081218957901,
-0.19793882966041565,
0.9539200067520142,
-0.3386104702949524,
0.18507488071918488,
-... |
Part 1. Definition
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic... | World | 7 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.46553051471710205,
0.43899601697921753,
-0.24670258164405823,
0.5024348497390747,
-0.09424430131912231,
-0.10808197408914566,
-0.39201369881629944,
0.12771040201187134,
-0.5795401334762573,
0.275204598903656,
-0.6030520796775818,
0.48078441619873047,
-0.036335498094558716,
-0.1968229562... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Q: Sentence 1: Thus, successful organizations recognize-and implement reform ef... | yes | 4 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7502625584602356,
1.0663301944732666,
0.4747886657714844,
-0.12729337811470032,
-0.06378836184740067,
-0.6002069711685181,
0.42662307620048523,
1.1305848360061646,
0.19842064380645752,
0.6031307578086853,
0.19900088012218475,
-0.9500005841255188,
-0.49766403436660767,
-0.069618523120880... |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | Spray cooking spray in between cracks. | 4 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.12341456860303879,
1.0280115604400635,
-0.6039642095565796,
0.07981269806623459,
-0.1368989646434784,
-0.7098581194877625,
0.5160894393920898,
0.3948110342025757,
-0.2634657621383667,
0.12889796495437622,
-0.08233121037483215,
0.3415690064430237,
-0.4525303244590759,
0.12371576577425003,... |
Part 1. Definition
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") s... | [163, 83, 101, 433, 367, 353, 643, 79, 743] | 7 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.24648244678974152,
0.16684600710868835,
-0.4709363877773285,
-0.5162840485572815,
0.2085169553756714,
-0.2240019142627716,
1.0333623886108398,
0.49177807569503784,
-0.03149509057402611,
0.2609146237373352,
-1.27084481716156,
-0.5670400261878967,
-0.3429563343524933,
-0.33349609375,
0.... |
Given the task definition and input, reply with output. 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 ma... | No | 5 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.8601504564285278,
0.8510395288467407,
0.5066215395927429,
0.14871260523796082,
-0.5831303596496582,
-0.7425321340560913,
0.005557727534323931,
0.6508791446685791,
-0.14834052324295044,
-0.5761359930038452,
-0.6302335858345032,
-0.1950504183769226,
-0.4703299403190613,
0.1097593754529953... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
See one example below:
Problem: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المس... | و العبء الإقتصادي الناجم عن مرض الربو .تجاوز الأعباء الإقتصادية الناتجة عن فيروس نقص المناعة البشرية والسل مجتمعة | 4 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.1527595967054367,
0.48654377460479736,
-0.16035163402557373,
-0.4232305884361267,
-0.24352648854255676,
0.12936145067214966,
1.0345609188079834,
0.19542273879051208,
0.49217846989631653,
-0.31146901845932007,
-0.9830072522163391,
0.5292602777481079,
-0.6683419942855835,
0.13020394742488... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Problem:Abbiamo preso piccoli robot che avevamo creato con avvolta della fibra ottica.
Solution: | یک سری دستگاه های کامپیوتری کوچک که ساخته بودیم را آوردیم که به یک فیبر نوری وصل می شد. | 8 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.027908053249120712,
1.4890310764312744,
-0.22192728519439697,
0.07012678682804108,
-0.8929830193519592,
-0.20493555068969727,
0.5708131790161133,
0.6427491903305054,
0.42116373777389526,
0.624191164970398,
-1.3158633708953857,
0.31071075797080994,
-0.16471707820892334,
0.082416266202926... |
Given the task definition, example input & output, solve the new input case.
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of th... | A 12 de Setembro, a Comissão apresentará as suas propostas para um Mecanismo Único de Supervisão Bancária baseado em três princípios-chave: | 1 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.37476471066474915,
0.28697669506073,
-0.05134119838476181,
0.03743014484643936,
0.1781216859817505,
0.2573530077934265,
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0.7719162106513977,
0.1961783468723297,
0.6232142448425293,
0.15376339852809906,
0.6142212152481079,
-0.28385746479034424,
-0.05661533772945404,
... |
Translate the given Spanish text to English
[EX Q]: Systems for showing such relationships are described.
[EX A]: Se describen sistemas para mostrar tales relaciones.
[EX Q]: Theliquid is preferably introduced by means of a sealed cartridge (5), which maybe supplied separately or as an integral part of the device.
[E... | Una sonda del termometro incluye un circuito flexible que contiene componentes electronicos usados para medir la temperatura y transmitir las senales a una unidad calculadora del termometro.
| 6 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.6113836765289307,
0.23526310920715332,
-0.49391186237335205,
-0.3883955776691437,
-0.24020510911941528,
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0.3280566334724426,
0.278090238571167,
-0.3475734293460846,
0.04182588309049606,
0.3542782664299011,
0.09505584836006165,
-0.22585150599479675,
0.57621169090271,... |
Given the task definition and input, reply with output. In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be mu... | True | 5 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.6900923252105713,
0.541560173034668,
-0.23149177432060242,
0.031122811138629913,
-0.368267297744751,
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0.6529268026351929,
0.09694226086139679,
0.7818734645843506,
-0.06274645030498505,
-0.6772018671035767,
0.2215721309185028,
-0.15200276672840118,
-0.0656403675675392... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
See one example below:
Problem: Person1: Passport , please , madam .
Person2: Just a minute , p... | 0 | 4 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.4846240282058716,
0.15369227528572083,
-0.45044511556625366,
0.6159923672676086,
0.12073240429162979,
-0.12393700331449509,
0.18329466879367828,
0.245256245136261,
-0.18568672239780426,
0.2048811912536621,
-0.08116623759269714,
-0.5998988151550293,
-0.0804322361946106,
-0.049794450402259... |
You will be given a definition of a task first, then some input of the task.
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input... | {'day': '1440', 'month': '', 'year': ''}. | 1 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.3327215611934662,
1.1294751167297363,
0.11008500307798386,
0.11594896018505096,
0.5637270212173462,
-0.8294711709022522,
0.5736863017082214,
0.6202586889266968,
-0.17499510943889618,
0.008215969428420067,
-0.2709187865257263,
0.5830541849136353,
-0.3044049143791199,
-0.470366895198822,
... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Example input: Everyone had an opportunity to share... | Yoruba | 3 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
-0.664038896560669,
0.670656681060791,
0.6465837359428406,
-0.20814846456050873,
-0.17935150861740112,
-0.636264443397522,
-0.12295675277709961,
0.7314907908439636,
0.3907724916934967,
-0.657300591468811,
0.4561704397201538,
0.3976209759712219,
-0.14713236689567566,
0.11833597719669342,
... |
In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
--------
Question: در ایالات متحده، نرخ رخداد ایست قلبی خارج از بیمارستان، حدود ۵٫۲ در ۱۰٬۰۰۰ نفر در سال است. احتمال ای... | چه کشورهایی دارای حق وتو هستند؟
| 7 | NIv2 | task468_parsinlu_rc_question_generation | fs_opt | [
0.46935081481933594,
0.5015008449554443,
-0.6466659307479858,
1.1212892532348633,
-0.13613426685333252,
-0.134596586227417,
0.5449607968330383,
0.7037339210510254,
0.4329201579093933,
0.336738646030426,
-1.0481535196304321,
0.43560904264450073,
-0.4382080137729645,
0.4993743598461151,
0.... |
Construct a question that every answer in the list is correct and reasonable for it.
[Q]: having a photo taken, hear a bad joke, job interview, upset, meeting new people, nervous
[A]: name an instance when you fake a smile
[Q]: doctor, shrink, lawyer, plumber, construction, teacher, massage therapist
[A]: if she rea... | name an activity people commonly take up after retirement
| 5 | NIv2 | task821_protoqa_question_generation | fs_opt | [
-0.6975519061088562,
0.40236353874206543,
-0.3895588517189026,
-0.7416754961013794,
0.4643401801586151,
-0.7048885822296143,
-0.20000764727592468,
-0.2161439061164856,
0.4265974164009094,
-0.00495996605604887,
0.5909199714660645,
-0.09448855370283127,
-0.33789336681365967,
-0.1767105013132... |
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 statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct op... | बडोदा | 0 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
-0.00920986570417881,
0.8603506684303284,
0.10623336583375931,
-0.3421223759651184,
-0.2852051556110382,
-0.09893177449703217,
0.2003236711025238,
0.7681921720504761,
-0.7168834805488586,
-0.07865224778652191,
0.033442627638578415,
-0.10671816766262054,
-0.36956650018692017,
0.468538701534... |
Q: This task is about translating a given English language sentence to Yoruba language.
Article 2
A: | Abala kejì | 7 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.18123403191566467,
1.4114279747009277,
0.7637542486190796,
-0.12970730662345886,
0.052053503692150116,
-0.19172753393650055,
-0.0711432695388794,
0.4616920053958893,
0.4013783633708954,
-0.806656002998352,
0.6856414079666138,
0.4877038598060608,
-0.8451182246208191,
0.1578066647052765,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example: Review: My cat won't touch these. My dog, however, ... | Solution: False | 5 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5134987235069275,
0.12883418798446655,
-0.12110409885644913,
-0.29986101388931274,
-0.09305225312709808,
-0.6227980852127075,
0.30615702271461487,
0.5642207264900208,
-0.584186315536499,
0.3653532862663269,
-0.24011218547821045,
0.0598459355533123,
-0.7055565118789673,
-0.10857789218425... |
TASK DEFINITION: You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
PROBLEM: original question: Which drug has a physiologic ... | No
| 8 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.11812996119260788,
0.4292868673801422,
0.15126930177211761,
-0.6508358716964722,
-0.4217216372489929,
-0.8112050294876099,
1.100974202156067,
0.24942325055599213,
0.5299113988876343,
-0.1775006353855133,
-0.799297034740448,
0.34363919496536255,
-1.185569167137146,
0.15115928649902344,
... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Q: The problem with the editorial and your comment is that it is myopic. There is much more enterprise in the local economy than just software. Even in software, there has been activity for decades with game ... | No | 4 | NIv2 | task1722_civil_comments_threat_classification | zs_opt | [
-1.2499158382415771,
0.8239591121673584,
0.03985266387462616,
-0.23724253475666046,
-0.16814514994621277,
-0.4199999272823334,
0.2912224531173706,
0.8389357924461365,
0.6946620345115662,
-0.18715685606002808,
0.0005791373550891876,
-0.002099832287058234,
-0.24381402134895325,
-0.3034861385... |
Detailed Instructions: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
See one example below:
Problem: De ... | Cerca de 14,5% de toda a população Americana é pobre, mas 19,9% das crianças – perto de 15 milhões de indivíduos – vivem na pobreza. | 4 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.6065676808357239,
0.7578126788139343,
-0.07670200616121292,
-0.34420883655548096,
-0.35277676582336426,
0.26983556151390076,
-0.13342130184173584,
0.871778130531311,
0.4429689347743988,
-0.03939010575413704,
-0.25342079997062683,
0.8568634390830994,
-0.7240926027297974,
0.07922500371932... |
Q: In this task, given a sentence in the Malay language, and your task is to convert it into the English language.
Beliau juga menyuarakan panggilan untuk lebih banyak kerja kolar hijau dan menyatakan usaha beliau tentang Akta Kerja Hijau tahun lepas.
A: | He also called for more green-collar jobs and noted his work on last year's Green Jobs Act. | 7 | NIv2 | task539_alt_translation_ma_en | zs_opt | [
-0.6549072265625,
0.565872073173523,
-0.09750866889953613,
-0.7772222757339478,
0.5542954206466675,
-0.8481273651123047,
-0.2272053360939026,
-0.33373507857322693,
-0.20341214537620544,
0.18647469580173492,
-0.19785422086715698,
0.04931651055812836,
0.39607900381088257,
-0.0598862580955028... |
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 integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.... | [13, 95, -86, -46, 41, 80] | 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.1338050812482834,
-0.05225243419408798,
-0.3321981728076935,
-0.23908057808876038,
0.4914090633392334,
0.7088159322738647,
0.9220941662788391,
0.22345302999019623,
-0.22371535003185272,
0.4156753420829773,
-0.27089202404022217,
-0.11562738567590714,
0.07885979115962982,
-0.4189603328704... |
Q: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
It was tiring.
A: | Did you have a good workday? | 7 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.15356120467185974,
1.040332317352295,
-0.11320850253105164,
-1.0983843803405762,
0.2719742953777313,
-1.8650890588760376,
0.055310044437646866,
0.17279237508773804,
-0.12545084953308105,
0.05139889940619469,
-0.3433449864387512,
0.1383984386920929,
-1.1907826662063599,
0.064641192555427... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note... | bc | 8 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
0.10682415962219238,
0.730628490447998,
0.03387019410729408,
-0.3161861002445221,
-0.27599310874938965,
-0.29839473962783813,
0.6380333304405212,
1.0979406833648682,
-0.10086175054311752,
0.6860631108283997,
-0.6867355108261108,
0.011420822702348232,
-0.29671019315719604,
-0.24644082784652... |
Given the task definition and input, reply with output. In this task, you are given a text of news article and corresponding headline of an article. Your task is to give label "match" if headline is correct for article, otherwise give label "no".
Article: Nigeria at 100 should be celebrated for the fact of the date an... | match | 5 | NIv2 | task1354_sent_comp_classification | zs_opt | [
-0.6033463478088379,
0.7719443440437317,
0.19526126980781555,
0.5655739307403564,
-0.1412719339132309,
-0.13851402699947357,
0.17873971164226532,
0.24485081434249878,
-0.26590144634246826,
0.5351301431655884,
-0.3719410300254822,
-0.24407312273979187,
-1.0449748039245605,
0.385135412216186... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
इसे बढ़ाने के लिए हम भारत में जर्मनी ... | நாட்டின் பிரதமரும் கூட உங்களைப் போல இந்த நாட்டின் பிள்ளை தான். அவரும் இந்த நாட்டின் குடிமகன் தான். | 0 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
0.03811527043581009,
0.32634586095809937,
-0.2322906106710434,
-0.17128843069076538,
0.1178412213921547,
-0.20205648243427277,
1.0496691465377808,
0.5261817574501038,
-0.016544926911592484,
0.40060338377952576,
-0.4427717328071594,
0.18753039836883545,
-0.9908692836761475,
0.08005510270595... |
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 sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the inpu... | من المحتمل أن تجد مقعد مرحاض في الحمام. | 0 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.5933891534805298,
0.23991498351097107,
-0.5615108013153076,
-0.6836189031600952,
-0.5763328075408936,
-0.2334003448486328,
0.9309423565864563,
0.40264660120010376,
0.6971458792686462,
-0.1672564148902893,
-0.03819406032562256,
0.09587260335683823,
-0.5464164614677429,
0.4549601078033447,... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Q: concept: Merrell Boots answers: ['Rockford']
A: | where is merrell shoes headquarters? | 4 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
-0.35303983092308044,
1.2959253787994385,
0.23442313075065613,
-0.3006831407546997,
0.10345418006181717,
-1.8748784065246582,
0.00500610563904047,
0.4240615665912628,
0.7505019307136536,
-0.8817539215087891,
-0.36285650730133057,
0.5915700793266296,
-0.9089184403419495,
-0.3182200491428375... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX builds PersonX's houses. Intent: 1) to be r... | appreciated
| 0 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.21219825744628906,
0.2898332178592682,
0.1574767529964447,
-0.3438541889190674,
-0.6624138355255127,
-0.507563591003418,
1.1624327898025513,
0.015207301825284958,
-0.007417395245283842,
-0.383671373128891,
0.29971200227737427,
0.09156829863786697,
-0.7914103269577026,
0.42847901582717896... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Quindi, è una cosa buona.
| Así que está ben. | 5 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.6363451480865479,
1.3130269050598145,
0.20953968167304993,
-0.8921749591827393,
-0.023109309375286102,
-1.2750375270843506,
-0.39826422929763794,
0.3539661765098572,
-0.6531189680099487,
0.063113734126091,
-0.2906551957130432,
0.6397197246551514,
-0.47594112157821655,
0.0988168120384216... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Context_1 : Williston State College (WSC) is a two-year public college in Williston, North Dakota, United St... | 1981
| 0 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.24359561502933502,
0.15088707208633423,
-0.5709179043769836,
-0.5195802450180054,
0.2552032172679901,
-0.2572205662727356,
0.5577807426452637,
0.9642376899719238,
0.08379369229078293,
0.3065255284309387,
0.3570890426635742,
0.33761730790138245,
-0.671299397945404,
0.35971343517303467,
... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Consider Input: Susan was making a cake for a party and she had an egg but didn't have milk. It was necessary to go to the store for the _ . (A) e... | Output: B
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.2565058767795563,
0.5752991437911987,
0.48621171712875366,
-0.24432705342769623,
0.20127487182617188,
-0.3218473494052887,
0.1610443890094757,
0.8394880294799805,
0.11151652038097382,
0.06377757340669632,
0.5149416923522949,
0.2874617278575897,
0.1188335120677948,
-0.5622575879096985,
... |
Detailed Instructions: Given a sentence in German, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Q: Aksuat Dendropark (russisch: Akshout Dendroparks) ist ein Naturdenkmal (Schutzgebiete des Gebiets Uljanowsk)
A: | Aksuat Dendropark (러시아어 : Akshout Dendroparks)는 자연 기념물 (Ulyanovsk Oblast의 보호 지역) | 9 | NIv2 | task802_pawsx_german_korean_translation | zs_opt | [
0.34580737352371216,
0.8129135966300964,
-0.7915335893630981,
-0.7318801879882812,
-0.9050248861312866,
-1.0403575897216797,
0.24098633229732513,
-0.02889711782336235,
0.3349837064743042,
-0.10748521983623505,
-0.10521718114614487,
0.29238781332969666,
-0.7347527742385864,
1.14842033386230... |
Teacher:In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Teacher: Now, understand the problem? Solve this instance: PersonX gives ___ ... | me | 6 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
0.019411176443099976,
0.3228380084037781,
0.13811488449573517,
-0.8402712941169739,
-0.2523876428604126,
-0.7109799385070801,
0.9915215373039246,
0.8767083883285522,
-0.08570784330368042,
-0.5629583597183228,
-0.2315676212310791,
-0.9478539228439331,
-0.44977498054504395,
-0.36347752809524... |
Detailed Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answe... | winter | 9 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.030285073444247246,
0.6513872146606445,
-0.5507978200912476,
0.13676384091377258,
0.01673976518213749,
-0.9302312135696411,
-0.01762983947992325,
0.8438267111778259,
-0.22161395847797394,
-0.17521128058433533,
-0.06333969533443451,
0.20594489574432373,
-0.4632481634616852,
0.24529269337... |
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
[Q]: And I never will. You can't argue with and you can't fix ignorance.
[A]: No
[Q]: The Lefties are just gaining hold of our dear city. P... | Yes
| 5 | NIv2 | task1720_civil_comments_toxicity_classification | fs_opt | [
-0.46785956621170044,
0.484886109828949,
0.43895360827445984,
0.004344032146036625,
-0.224472314119339,
-0.8798691630363464,
0.23841039836406708,
1.1903176307678223,
-0.3466629981994629,
0.27920693159103394,
-0.4558790326118469,
-0.10261107981204987,
-0.04964586719870567,
-0.40382331609725... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: یک بار، با این که میدانستم آدم توداری است،
Student: | I learnt so much from himself in an inroad I once, | 6 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.008100861683487892,
0.530328631401062,
-0.16573446989059448,
-0.7529159784317017,
-0.41248032450675964,
-0.8337652683258057,
0.5604697465896606,
0.7628993391990662,
0.22048594057559967,
0.18453916907310486,
-0.12053773552179337,
0.19237467646598816,
-0.4685347378253937,
-0.64343065023422... |
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 in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un bărbat pune brânză mărunțită pe o pizza.
Solution: A man... | Fundimental difference, please? | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.4801750183105469,
0.4792803227901459,
0.939995527267456,
-0.24231871962547302,
-0.0006689421134069562,
0.33567774295806885,
1.321615219116211,
0.5310063362121582,
0.8406893014907837,
-0.42741847038269043,
-0.09941430389881134,
0.6443304419517517,
-0.5738398432731628,
0.1774449646472931,... |
Given a sentence in Vietnamese, generate a new Vietnamese 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 o... | Nếu ngài thắng để chống lại bồi thẩm đoàn thì ngài nên trở thành một vị vua.
| 5 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.08034411072731018,
0.6125854253768921,
-0.061798520386219025,
-0.17329594492912292,
-0.06496874243021011,
-0.7635541558265686,
0.6717478036880493,
1.312709093093872,
0.12593398988246918,
0.06319277733564377,
-0.6575337052345276,
-0.2850293517112732,
-0.4439651370048523,
0.115915238857269... |
Part 1. Definition
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Part 2. Example
এক্ষেত্রে প্রদেয় সুদের হারকে সুলভ ও স্থায়ী করে তুলতে হবে।
Answer: ഈ സാഹചര്യത്തിൽ, പണമടച്ചുള്ള പലിശ നിരക്ക് വിലകുറഞ... | നവ ഇന്ത്യ സൃഷ്ടിക്കുന്നതിന് ഗവണ്മെന്റ് എങ്ങനെ സമഗ്രമായി പ്രവര്ത്തിക്കുന്നുവെന്നതിന്റെ ഒരു ഉദാഹരണം നിങ്ങളുമായി പങ്കുവയ്ക്കാന് ഞാന് ആഗ്രഹിക്കുകയാണ്. | 7 | NIv2 | task1003_pib_translation_bengali_malayalam | fs_opt | [
-0.8021752834320068,
0.6889573335647583,
0.030724477022886276,
-0.5859600901603699,
-0.3763076066970825,
-0.09551331400871277,
1.1506800651550293,
0.6298468112945557,
0.14872518181800842,
-0.09443247318267822,
-1.2520824670791626,
-0.18263816833496094,
-0.6979910731315613,
0.25918406248092... |
Detailed Instructions: 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 undermining.
Problem:claim: Compensation should be pa... | undermine | 8 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.6120070815086365,
0.9134833812713623,
0.273409903049469,
-0.09417931735515594,
-0.19647935032844543,
-0.16316361725330353,
0.8568877577781677,
0.4236670136451721,
0.4191632866859436,
-0.700880765914917,
0.3501816987991333,
-0.6406865119934082,
-0.3854091763496399,
0.7576152086257935,
... |
Definition: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Input: Tom ordered bacon, and Dick lettuce, and Harry tomatoes.
Output: | 1 | 2 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.4890645444393158,
0.2536362409591675,
0.00855887308716774,
0.29487431049346924,
0.37433239817619324,
-1.0520339012145996,
0.1149686798453331,
-0.2101413756608963,
0.2775862514972687,
-0.0015614933799952269,
-0.7119889855384827,
-0.1720130443572998,
-0.636472225189209,
-0.4623488485813141... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
... | 4 | 1 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.3488715589046478,
0.44879060983657837,
-0.05636642128229141,
-0.1030346006155014,
0.3393423557281494,
-0.3333326578140259,
0.4668017029762268,
-0.13079074025154114,
-0.5689053535461426,
0.7373939156532288,
-0.40274935960769653,
0.338845819234848,
0.07385830581188202,
-0.4485745429992676... |
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 ... | run left after turn opposite left twice
| 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.2609310746192932,
0.7394907474517822,
-0.6380990743637085,
0.30240678787231445,
-0.17423373460769653,
0.24006329476833344,
0.025350481271743774,
0.4928876757621765,
-0.23143282532691956,
-0.16785472631454468,
-0.7587662935256958,
-0.2832670211791992,
-0.6150018572807312,
-0.1199320852756... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Fractured rib. | 0 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.5961885452270508,
1.227161169052124,
-0.5713233947753906,
0.9080474376678467,
-0.29905951023101807,
-0.47660866379737854,
0.6390048265457153,
0.8530222177505493,
-0.19709420204162598,
-0.7212997674942017,
-0.6703141927719116,
0.20560193061828613,
-0.6990227699279785,
0.25176939368247986,... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: - Rapport Hökmark, English: - Hökmark report | yes | 0 | NIv2 | task273_europarl_classification | zs_opt | [
-0.3311728239059448,
0.624087393283844,
0.5107424259185791,
0.19269531965255737,
0.3255440592765808,
-0.6159723997116089,
0.6336269974708557,
-0.2109539657831192,
0.7965679168701172,
-0.5825142860412598,
-0.5347423553466797,
0.7677680253982544,
-0.5493340492248535,
0.5624711513519287,
1.... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Example: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
Example solution: 3
Example explanation: The... | Solution: 5 | 5 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.16439472138881683,
0.3565843999385834,
-0.015318100340664387,
-0.40979212522506714,
-0.32989633083343506,
0.052795618772506714,
0.15151481330394745,
0.302631139755249,
0.45550796389579773,
-1.1026935577392578,
-0.2705281376838684,
-0.1063009575009346,
-0.012308836914598942,
-0.2249746620... |
Given a sentence in French, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Le réseau utilisait auparavant un traducteur à Waterbury, W12BH (canal 12), qui répétait directement WEDY. | Das Netzwerk betrieb zuvor einen Übersetzer in Waterbury, W12BH (Channel 12), der WEDY direkt wiederholte. | 0 | NIv2 | task792_pawsx_french_german_translation | zs_opt | [
-0.4615376889705658,
0.832724392414093,
0.13773763179779053,
-0.7609408497810364,
0.05879581719636917,
0.18236565589904785,
0.9497336149215698,
0.4006635248661041,
0.16389304399490356,
-0.5950430631637573,
-0.28976404666900635,
0.08079497516155243,
-0.6443615555763245,
0.6110190749168396,
... |
Instructions: 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 ... | unacceptable | 3 | NIv2 | task616_cola_classification | zs_opt | [
-0.6012924909591675,
0.499267041683197,
0.8078316450119019,
-0.23861801624298096,
0.10779014229774475,
-1.1370915174484253,
0.5895066261291504,
0.37757939100265503,
0.36912667751312256,
0.26225465536117554,
-0.4622407555580139,
-0.6922304630279541,
-0.2842743992805481,
-0.1149761825799942,... |
You will be given a definition of a task first, then some input of the task.
The task is to generate text based 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 emotional reaction to the event, i.e. how that person feels afte... | contented | 1 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.15960590541362762,
0.3064354360103607,
-0.11180450022220612,
-0.209468811750412,
-0.06041274964809418,
-0.5667398571968079,
0.9303455352783203,
0.6859372854232788,
0.3118884265422821,
-0.18805575370788574,
-0.1616007387638092,
-0.3072587549686432,
-0.5310287475585938,
0.3037086725234985... |
instruction:
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation wo... | boy Antonym female
| 9 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
-0.07813715189695358,
0.820923388004303,
0.13448740541934967,
-0.7055221796035767,
-0.5617672801017761,
-0.45234495401382446,
0.2411317527294159,
0.05275991931557655,
0.05011740326881409,
-0.3634360730648041,
-0.7555566430091858,
0.2209480255842209,
-0.6315321922302246,
-0.1404464691877365... |
Detailed Instructions: In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only... | Punjabi | 8 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.5869466066360474,
0.9955284595489502,
0.4314413070678711,
-0.4546961784362793,
0.0640208050608635,
-0.5045995712280273,
0.03210136294364929,
0.3319467306137085,
-0.09517696499824524,
0.09118164330720901,
-0.5402549505233765,
-0.46777114272117615,
-0.017747260630130768,
0.077290982007980... |
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... | Solution: agent: Ok, let me know your planned dates. | 5 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
-0.006147671956568956,
0.14382465183734894,
-0.3747897744178772,
-0.7819693088531494,
0.38679879903793335,
-0.27875638008117676,
1.7948381900787354,
-0.10184040665626526,
-0.45335280895233154,
0.08579765260219574,
-0.022862277925014496,
-0.5170333385467529,
-0.7424211502075195,
0.628969430... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
[EX Q]: People need to understand that if they commit fr... | English
| 6 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
0.12848344445228577,
0.41390931606292725,
0.6367206573486328,
-0.08021843433380127,
0.44205242395401,
-0.2535586357116699,
0.4303508996963501,
0.5491045713424683,
-0.056708648800849915,
-0.20862704515457153,
-0.767798125743866,
-0.04204852879047394,
-0.4626893699169159,
-0.6317877769470215... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified q... | E. | 1 | NIv2 | task043_essential_terms_answering_incomplete_questions | zs_opt | [
1.137668490409851,
0.24715527892112732,
0.12328360974788666,
-0.3398239016532898,
-0.06486539542675018,
-0.4289804697036743,
0.6686584949493408,
0.014799140393733978,
-0.37909966707229614,
-0.18572473526000977,
0.055467672646045685,
-0.6006065607070923,
-0.3549993336200714,
0.0408573783934... |
Q: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'a desk with a laptop computer mounted to it'. Count the number of consonants in the given sentence.
A: | 21 | 7 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.5785467624664307,
0.7481000423431396,
-1.1178778409957886,
-0.5663773417472839,
0.09389220178127289,
0.21591773629188538,
-0.30840998888015747,
0.6985568404197693,
0.5522512197494507,
-0.3865211009979248,
0.003990745171904564,
0.0516216978430748,
-0.04849129170179367,
-0.3162156343460083... |
Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Вот здесь и нужны правила, ограничивающие... | English
| 0 | NIv2 | task1370_newscomm_classification | fs_opt | [
-0.36364302039146423,
0.5648286938667297,
0.7870752215385437,
0.1300722062587738,
0.450986385345459,
-0.02934899553656578,
0.22188961505889893,
0.9528893828392029,
0.3130379319190979,
0.07394207268953323,
0.07668066024780273,
0.03757035732269287,
-0.6360548734664917,
-0.2502005100250244,
... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
वे कहते हैं कि "पक्षपात" ने लाइन के आसपास "व्यापक नकारात्मक प्रचार" को बढ़ा ... | The Council of Australian Governments (COAG) will meet in Canberra today for its first meeting of 2006.
| 0 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.6849101185798645,
0.047619763761758804,
0.3907291293144226,
-0.23725786805152893,
0.142220601439476,
-0.06962579488754272,
0.21117347478866577,
0.17393025755882263,
-0.5463324785232544,
-0.2788957953453064,
-0.9824730157852173,
0.3131370544433594,
-0.24153482913970947,
0.058680035173892... |
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 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>, ... | EU <B-ORG> rejects German <B-MISC> call to boycott British <B-MISC> lamb . | 0 | NIv2 | task610_conllpp_ner | fs_opt | [
0.22689953446388245,
-0.3132144808769226,
0.09711974114179611,
0.8311164379119873,
0.234134703874588,
-0.18799564242362976,
-0.05312511324882507,
0.9053890109062195,
-0.7193872928619385,
0.3627707064151764,
-0.22008875012397766,
0.18662762641906738,
-0.2127971053123474,
0.6861246228218079,... |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are sepera... | Paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.6406203508377075,
0.5003945827484131,
0.16152364015579224,
-0.1737755984067917,
-0.30845242738723755,
-0.1756153106689453,
1.3365819454193115,
-0.5530865788459778,
-0.08907259255647659,
0.17314226925373077,
-0.2771022915840149,
0.5382295250892639,
-0.7212995886802673,
0.3743516802787781... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the e... | No | 4 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.39307901263237,
-0.03743986785411835,
0.22516275942325592,
-0.048360250890254974,
-0.16432404518127441,
-0.8565919995307922,
1.0999784469604492,
0.9243696928024292,
-0.7737889885902405,
-0.20418649911880493,
-0.3771211504936218,
0.010715425945818424,
-0.935634195804596,
-0.02537317201495... |
In this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specified by the category. If the category is specified as entailment, then the output sentence must clearl... | A woman is cracking an egg into a bowl
| 5 | NIv2 | task1613_sick_given_category_generate_sentence | fs_opt | [
-0.23339566588401794,
0.6536376476287842,
-0.0160731952637434,
-0.4143010973930359,
-0.3165552020072937,
-0.4976402521133423,
-0.1024133712053299,
0.665339469909668,
-0.06669993698596954,
-0.5819535255432129,
-0.5564670562744141,
-0.09655635058879852,
-0.3025878071784973,
0.336772233247756... |
Detailed Instructions: In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neut... | negative | 8 | NIv2 | task525_parsinlu_movie_aspect_classification | zs_opt | [
-0.9111414551734924,
0.06154172867536545,
0.03439858928322792,
-0.03146345168352127,
-0.024447515606880188,
0.3403562009334564,
1.2680383920669556,
0.35313528776168823,
0.6765883564949036,
-0.27172911167144775,
0.036370549350976944,
-0.24149146676063538,
-0.8056361079216003,
0.773920357227... |
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.
One example is below.
Q: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వి... | Oh no. | 9 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.13013270497322083,
1.2200053930282593,
0.6210743188858032,
0.21814987063407898,
0.029756050556898117,
-1.2982168197631836,
-0.13257192075252533,
0.11049487441778183,
-0.7471771836280823,
-0.3846617341041565,
-0.39958369731903076,
-0.18445813655853271,
-0.6935112476348877,
-0.22432594001... |
instruction:
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.
question:
On 3 August, the ex-king made the shock announcement that he was leaving Spain amid a corruption investigation. The 82-year-old... | State pension age rise brought forward
| 9 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.4660359025001526,
0.13333547115325928,
-0.5833684206008911,
-0.7191793322563171,
0.8492546081542969,
0.1604222059249878,
0.3303319811820984,
1.3859699964523315,
-0.6533033847808838,
0.3395214378833771,
0.5546189546585083,
0.9360689520835876,
-0.8216942548751831,
0.43982356786727905,
-0... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: I would prefer the go... | Non-threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.1526041179895401,
0.8065731525421143,
0.33017805218696594,
-0.4303874373435974,
0.06644804775714874,
-0.4871620237827301,
1.2543277740478516,
0.8537671566009521,
0.3321484923362732,
0.172090083360672,
-0.17500650882720947,
0.31323161721229553,
-0.5708392262458801,
-0.6010797023773193,
... |
instruction:
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.
quest... | 1, 2, 4, 6, 8, 10, 13, 14, 15, 16, 17, 18, 21, 23, 27, 28, 34, 35
| 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.2881534695625305,
-0.2108491063117981,
-0.5351349115371704,
-0.7953776717185974,
-0.2538151144981384,
-0.5075110197067261,
0.6107099056243896,
0.6467835903167725,
-0.574332594871521,
0.3170650899410248,
-0.4062713384628296,
0.09344787895679474,
-0.07411053031682968,
-0.06132270768284798... |
Teacher:A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: I just came back from a visit to Bahrain.
Student: | ഒരു ബഹറിന് സന്ദര്ശനം കഴിഞ്ഞ് ഞാന് ഇപ്പോള് തിരിച്ചുവന്നിട്ടേയുള്ളു. | 6 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
0.3421913683414459,
0.4343414306640625,
0.0785522535443306,
-0.7656257152557373,
-0.30380910634994507,
-0.5073589086532593,
0.8213041424751282,
0.25325334072113037,
-0.4348231852054596,
0.03256179764866829,
-0.26857754588127136,
0.4348785877227783,
-0.9509647488594055,
-0.3644693195819855,... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | आप अपने बालों को कम करने के लिए एक बाल सूखार इस्तेमाल कर सकते हैं.
| 3 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.05135899782180786,
0.23459956049919128,
0.03938236087560654,
-0.049879416823387146,
0.25637227296829224,
-0.9668200016021729,
0.38825973868370056,
0.8813583850860596,
-0.23541656136512756,
-0.028647538274526596,
-1.0491719245910645,
-0.36791372299194336,
0.08200216293334961,
-0.01392893... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 8231589 | 8 | NIv2 | task1443_string_to_number | fs_opt | [
-0.5432155728340149,
0.708103597164154,
-0.5936533212661743,
-0.9119260311126709,
-0.3793075680732727,
-0.5846947431564331,
0.8492112159729004,
0.08086549490690231,
-0.18932268023490906,
-0.1323758214712143,
-0.8971208333969116,
0.22505734860897064,
-1.2726659774780273,
-0.1741341799497604... |
Detailed Instructions: 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... | agent: Sure, I am here to help you with that. | 9 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.6748703718185425,
0.3974274694919586,
0.07751692831516266,
-0.8576187491416931,
0.354584276676178,
-0.32953891158103943,
1.146620512008667,
-0.5042374730110168,
-0.10732526332139969,
-0.06464122235774994,
0.2268148809671402,
-0.5154160261154175,
-0.7646300792694092,
0.37596142292022705,... |
Instructions: 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 even... | Yes | 3 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.04079122841358185,
0.4982297420501709,
0.09816261380910873,
-0.13683095574378967,
-0.6832568645477295,
-0.7791340947151184,
1.631824016571045,
-0.07740047574043274,
-0.6751877665519714,
-0.5447879433631897,
-0.09419375658035278,
-0.4068218469619751,
-0.7023321986198425,
0.168439835309982... |
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 statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct op... | ਯੂ.ਐਸ.ਏ. | 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.7241740226745605,
0.444041907787323,
0.3363417685031891,
-0.737826943397522,
0.16816559433937073,
-0.47737690806388855,
-0.427090585231781,
0.24199512600898743,
0.4825090169906616,
0.28479984402656555,
0.18439000844955444,
0.3929218649864197,
-0.9639525413513184,
-0.6332733631134033,
0... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Let me give you an example: ... | user | 8 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.048257868736982346,
0.670532763004303,
-0.3619968891143799,
-0.6925100088119507,
-0.4255526065826416,
-0.11152738332748413,
1.4950246810913086,
-0.6486716270446777,
1.022051453590393,
-0.4366569221019745,
-0.09809458255767822,
0.01132996380329132,
-0.23429568111896515,
0.348918646574020... |
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 deter... | Yes | 4 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.20824551582336426,
0.3771764039993286,
0.5750231742858887,
-0.5265272259712219,
-0.37032485008239746,
-1.1526463031768799,
1.3217990398406982,
0.5869040489196777,
-0.4550504684448242,
-0.6070572137832642,
-0.44691312313079834,
-0.05034741759300232,
-0.7593903541564941,
0.5621689558029175... |
A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
गेल्या चार वर्षांत सूक्ष्म, लघु आणि मध्यम उद्योगांना म्हणजेच एमएसएमईला, प्रोत्साहन देण्यासाठी, त्यांना मजबूत करण्यासाठी अनेक पावले उचलण्यात आली आहेत. | எதிர்காலத்தில் புதிய மருத்துவமனைகள், மருத்துவக் கல்லூரிகள், துணை மருத்துவ மனிதவள மேம்பாட்டு நிலையங்கள் தொடங்கப்படும். இதன் மூலம் துணை மருத்துவக் கட்டமைப்பு டயர்-2, டயர்-3 நகரங்களில் வலுப்படுத்தப்படும். | 0 | NIv2 | task1083_pib_translation_marathi_tamil | zs_opt | [
-0.08699485659599304,
1.324634313583374,
-0.01727975532412529,
-0.1651267409324646,
-0.09802639484405518,
-0.6037113070487976,
0.10877752304077148,
0.8409850597381592,
-0.7657387256622314,
0.5640509724617004,
-0.36759698390960693,
-0.2869879901409149,
0.19790294766426086,
-0.30217474699020... |
Given the task definition and input, reply with output. You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: पहिले बाल्कन युद्ध इ.स. १९१२ ते १९१३ दरम्यान <... | सर्बिया | 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.23973220586776733,
1.0207223892211914,
-0.6394800543785095,
-0.2818220853805542,
0.07111459970474243,
-0.24084928631782532,
1.1325650215148926,
0.2921798527240753,
0.9839573502540588,
0.11985168606042862,
-0.40228214859962463,
0.5427057147026062,
-0.23474043607711792,
-0.517207145690918,... |
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two... | Output: 11
| 2 | NIv2 | task244_count_elements_in_set_union | fs_opt | [
0.44124776124954224,
0.38589906692504883,
-1.2838959693908691,
0.31180912256240845,
-0.05275481939315796,
-0.5251516103744507,
0.7593836784362793,
0.8397760391235352,
-0.5059462189674377,
-0.20056882500648499,
-1.020772933959961,
0.1111762747168541,
0.05420846492052078,
-0.2781043648719787... |
Definition: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Input: Temp dropped ...sky dark n our birds went crazy in #pdx we enjoyed #SolarEclipse2017 #amazing
Output: | Happy | 2 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.2194114923477173,
0.09942854195833206,
-0.19401168823242188,
-0.09107539057731628,
-0.2806156575679779,
-0.6640220880508423,
0.5049605369567871,
0.14159010350704193,
0.13281524181365967,
0.2199314534664154,
-0.6362268924713135,
-0.5036686658859253,
-0.22513766586780548,
-0.1256476938724... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
`` i 've tried meditating , but so far i have n't been able to get anything more .
| `` i tried to meditate , but i have n't figured anything out yet . | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.7414218783378601,
0.9225430488586426,
0.401921808719635,
-0.23933899402618408,
-0.5274713039398193,
-0.39620959758758545,
0.7944281101226807,
0.43920770287513733,
-0.18384864926338196,
-0.49668532609939575,
-0.2617679834365845,
-0.023857098072767258,
-0.7220954895019531,
0.2397349774837... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Input: لأننا نضعها في مكان هي لا تحب أن تكون موجودة فيه, ولا تحب أن تخضع لكل ما نريده منها.
Output: | ما اونها را در محيطى قرار می داديم كه نميخواستن اونجا باشند ، و نمی خواستن چيزى رو كه ما ميخواستيم رو انجام بدن. | 3 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
0.3242987096309662,
0.7090321779251099,
-0.08225297182798386,
-0.4811449944972992,
-0.3512752056121826,
0.3366028070449829,
0.39533451199531555,
-0.22944335639476776,
1.4498474597930908,
0.6990224123001099,
-1.1028797626495361,
0.597158670425415,
-0.4378531575202942,
-0.22231155633926392,
... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPO... | no | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.29728469252586365,
-0.11037413030862808,
0.4913216829299927,
0.12313669919967651,
0.5847705006599426,
-0.6875641345977783,
0.2317550629377365,
1.0775176286697388,
-0.33253204822540283,
0.04001595452427864,
-0.2524743378162384,
0.03963547945022583,
-0.07813913375139236,
-0.21154177188873... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Problem:ولكن هذه مغالطة.
Solution: | But this is a fallacy. | 8 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.7192555069923401,
1.1293809413909912,
0.7630504369735718,
-1.1441595554351807,
0.14189636707305908,
0.19502124190330505,
0.7317994236946106,
-0.12377134710550308,
0.29385313391685486,
-0.7452580332756042,
-0.8684255480766296,
-0.31394851207733154,
0.03674005717039108,
0.3359628915786743... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Ma a che cosa ha fatto appello?
Output: | Pero, ¿que nos estaba a pedir realmente? | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.723264217376709,
1.7327226400375366,
-0.7197883725166321,
-0.01381115522235632,
-0.010102048516273499,
-1.1231718063354492,
-0.20460644364356995,
0.8861570358276367,
-0.9132934808731079,
0.13364949822425842,
-0.7310710549354553,
0.09354338049888611,
-0.9644621014595032,
-0.0729188024997... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
One example is below.
Q: 処方箋を支払う為の保険は ？
A: Terán seguro para pagar a receita?
Rationale: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
Q: 体重を減らすことは物理的に可能ですし、
A: | Fisicamente é posíbel perder peso. | 9 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.3338938057422638,
0.9923585057258606,
0.4706137776374817,
-1.0177184343338013,
-0.1793615221977234,
-1.3042399883270264,
1.1582369804382324,
0.2966133654117584,
0.29393625259399414,
-0.6496513485908508,
-0.4332609176635742,
0.2887967824935913,
-1.0358365774154663,
0.7509551644325256,
... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Y este es el modelo de como va a trabajar. Entonces es el mismo sistema; el vehículo es diferente. Y ese es el modelo.
| وهذا هو النموذج ، كيف سيعمل. ولذلك انه نفس النظام; المركبة مختلفة. وذلك هو النموذج. | 5 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.7691720128059387,
0.4207526445388794,
0.4358154237270355,
-0.06271761655807495,
-0.17261989414691925,
0.2942764461040497,
0.6062044501304626,
1.037704348564148,
0.5782816410064697,
-0.2564510107040405,
-0.6990464925765991,
0.27463454008102417,
0.16095104813575745,
0.10604166984558105,
... |
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 sentence in English. Your job is to translate the English sentence into Arabic.
(Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سي... | في الواقع هذا أكثر خطورة من تدوين كلمة المرور الخاصة بك لأنه يجعلك أكثر عرضة للمهاجمين | 0 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.2342747002840042,
0.51057368516922,
0.42070645093917847,
-0.6360673904418945,
0.007544820662587881,
0.14137393236160278,
1.1826975345611572,
-0.0018863729201257229,
0.4774833917617798,
-0.052501752972602844,
-0.417488157749176,
-0.1249440461397171,
-0.6128320097923279,
-0.103620186448097... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Y si bien yo deseaba crear una identidad que no usara la arquitectura fracasé en el intento.
Solution: | E sebbene desiderassi creare una identity che non facesse uso dell'architettura, non ci sono riuscito. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.07115427404642105,
1.5185173749923706,
0.006724455859512091,
0.15461818873882294,
-0.2850745618343353,
-0.6132410764694214,
0.09644193202257156,
0.9957327842712402,
-0.31401902437210083,
-0.4200643002986908,
-0.1607988178730011,
-0.11117276549339294,
-0.5436174869537354,
0.00680477451533... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset ... | CCONJ | 9 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7728945016860962,
0.6058870553970337,
-0.0945521742105484,
-0.0288044773042202,
-0.059166233986616135,
-0.4405720829963684,
0.9659556150436401,
0.8129152059555054,
-0.46924200654029846,
-0.030879760161042213,
-0.5929334163665771,
0.28938135504722595,
-0.6015692949295044,
0.71472412347793... |
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