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 |
|---|---|---|---|---|---|---|
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Sentence1: Tree... | mill | 0 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.13166213035583496,
0.999936580657959,
0.08900701999664307,
-0.4897007942199707,
-0.2152010053396225,
-0.7577462196350098,
0.20893722772598267,
0.5612978339195251,
-0.27766692638397217,
-0.2786411643028259,
-0.9663489460945129,
-0.5026822090148926,
-0.7505598664283752,
0.1926177144050598... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: this... | yes | 9 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.7036269903182983,
-0.17855575680732727,
0.22166691720485687,
0.6395977139472961,
-0.1410273313522339,
0.16547885537147522,
-0.12967713177204132,
0.45295262336730957,
0.020352089777588844,
0.8789976239204407,
-0.3497735261917114,
-0.7029199004173279,
-0.3374860882759094,
0.52766036987304... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
--------
Question: این موضوع کمی کسل کننده شده.
Answer: Bene, tutto ciò è abbastanza noioso.
Question: می خواهم که شما را به یک دوست خیلی خوبِ TED معرفی کنم که از قضا در بزرگترین حلبی آباد آفریقا هم زندگی می کند.
An... | Bill Stone: E 'stato ripreso nelle Sorgenti Wakulla in Florida.
| 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.15170793235301971,
0.5576160550117493,
-0.49631232023239136,
0.17556136846542358,
-0.4296812415122986,
-0.08878040313720703,
0.8632514476776123,
0.16854068636894226,
-0.08632603287696838,
-0.2530336081981659,
-0.4104355573654175,
0.395003080368042,
-0.7224042415618896,
0.400136470794677... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Q: Sentence 1: A... | neutral | 9 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.18922504782676697,
0.797278642654419,
0.35672837495803833,
-0.18178287148475647,
-0.5903835296630859,
-0.9191210269927979,
0.7358980178833008,
1.122854471206665,
0.33409959077835083,
-0.17373496294021606,
-0.2710225284099579,
-0.25480613112449646,
-0.4732012152671814,
-0.425173819065094... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | N Punc Adj Punc
| 6 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
-0.3630792498588562,
-0.39919066429138184,
0.1923874020576477,
0.3181794583797455,
0.20939169824123383,
-0.7077028155326843,
0.2651987075805664,
0.08541873842477798,
-0.11035044491291046,
0.16921667754650116,
-0.02055644802749157,
0.6761789321899414,
-0.4788237512111664,
0.3864330649375915... |
TASK DEFINITION: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation qu... | No
| 8 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
-0.045450009405612946,
0.08460049331188202,
0.04092077910900116,
-0.3493725657463074,
0.4230881631374359,
-0.16486726701259613,
0.45107242465019226,
1.1725828647613525,
-1.0589982271194458,
-0.2145446538925171,
0.20133092999458313,
0.2847227454185486,
-0.7554144859313965,
0.390435069799423... |
Given the task definition, example input & output, solve the new input case.
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected... | Hope Speech | 1 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.7520487904548645,
0.3291093111038208,
0.3608698844909668,
0.39934927225112915,
0.20930300652980804,
-0.6541456580162048,
-0.14507991075515747,
0.6451953649520874,
-0.8218588829040527,
-0.005749419331550598,
-0.3962972164154053,
0.026263318955898285,
0.2785738706588745,
-0.05608917027711... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-202] | 4 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.7400203943252563,
0.014389201998710632,
-0.2529023289680481,
-0.51606285572052,
-0.2725217342376709,
0.04611576348543167,
0.9901555776596069,
0.24364371597766876,
-0.8833823800086975,
0.34618857502937317,
-0.8662084341049194,
0.18407827615737915,
-0.5870063304901123,
0.12729504704475403... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['The Rice Boat', 'food', 'Fast food'], ['The Rice Boat', 'priceRange', 'cheap'], ['The Rice Boat', 'customer rating', 'average'], ['The Rice Boat', 'area', 'city centre'], ['The Rice Boat', 'familyFriendly', 'no'], ['The Rice Boat', 'near', 'Express by Holiday Inn']] | 9 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.34865063428878784,
-0.0033155970741063356,
-0.794199526309967,
-0.3451990485191345,
-0.28713369369506836,
-0.18356245756149292,
0.0839909017086029,
0.7444738149642944,
0.4072421193122864,
-0.07850038260221481,
-0.19464683532714844,
-0.26796096563339233,
0.0002757108013611287,
0.67016243... |
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.
--------
Question: Sentence: 'a young man holding a tennis racquet and its case'. How many words start with the letter 'h' in the sentence.
Answer: 1
Question: Sentence: 'a woman has... | 3
| 7 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.3365786373615265,
0.4257260859012604,
-0.5228390693664551,
-0.1642170548439026,
0.17736104130744934,
-0.20327109098434448,
0.3708829879760742,
0.5430178642272949,
0.606793999671936,
-0.9149870872497559,
-0.9610868692398071,
-0.06612437963485718,
-0.04721468314528465,
-0.17503291368484497... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y me... | By measuring it, the act of measurement changes it. | 2 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.721024751663208,
0.5207467079162598,
0.40527021884918213,
-0.33845898509025574,
-0.1261359453201294,
0.024988997727632523,
-0.3201639652252197,
0.8282027840614319,
-0.08410559594631195,
-0.35579997301101685,
-0.5335003137588501,
0.03229709342122078,
-0.7698527574539185,
-0.3269896805286... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Let me give you an example: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am qui... | Installed worked fine for 2 months | 8 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.26541662216186523,
0.27620506286621094,
-0.260040819644928,
-0.21488749980926514,
0.33454644680023193,
-0.1930801123380661,
0.7170286178588867,
0.26641637086868286,
0.09635475277900696,
1.0199612379074097,
-0.04110120236873627,
0.4672161936759949,
-0.3253672122955322,
-0.269029617309570... |
Instructions: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship... | root | 3 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-1.0557211637496948,
0.598507285118103,
0.2695993185043335,
0.22023305296897888,
-0.44958364963531494,
0.05437096953392029,
-0.33825787901878357,
0.2286602109670639,
0.525952160358429,
-0.884208083152771,
-0.8044725656509399,
-0.12816360592842102,
0.04006105661392212,
0.14240501821041107,
... |
instruction:
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
question:
Question1: is it possible for a sociopath to feel sympathy but lack empathy?, Question2: Am I sociopath for not feeling empathy?
answer:
No
question:
Questio... | No
| 9 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.7198294401168823,
-0.28184106945991516,
0.7425026893615723,
0.39362239837646484,
-0.12967321276664734,
-1.2943594455718994,
0.8179243803024292,
0.13675051927566528,
0.11263947188854218,
-0.021588675677776337,
0.036834150552749634,
-0.21645191311836243,
-0.31949543952941895,
-0.506805598... |
You will be given a definition of a task first, then some input of the task.
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਭਾਰਤਮਾਲਾ 550 ਜ਼ਿਲ੍ਹਿਆਂ ਨੂੰ (ਰਾਜ-ਮਾਰਗਾਂ) ਨਾਲ ਜੋੜੇਗੀ ਅਤੇ ਦੇਸ਼ ਵਿੱਚ ਆਰਥਿਕ ... | രാജ്യത്തിന്റെ സാമ്പത്തിക വളര്ച്ചയ്ക്ക് ഏറ്റവും വലിയ പ്രേരകശക്തിയായിരിക്കും ഭാരത്മാലയെന്ന് വ്യക്തമാക്കിയ മന്ത്രി, പ്രധാനമന്ത്രി ശ്രീ മോദിയുടെ നവ ഇന്ത്യ എന്ന ലക്ഷ്യം സാക്ഷാത്കരിക്കുന്നതിന് സഹായകരമായിരിക്കുമെന്നും അറിയിച്ചു. | 1 | NIv2 | task1006_pib_translation_punjabi_malayalam | zs_opt | [
-0.3392077684402466,
1.0200762748718262,
0.5252931118011475,
-0.20100846886634827,
-0.23451733589172363,
-0.44817519187927246,
0.729597270488739,
0.7899394035339355,
-0.597163736820221,
0.16591861844062805,
-0.6118585467338562,
-0.04439866170287132,
-0.7484669089317322,
0.0698145180940628,... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
[EX Q]: Once upon a time, he told me, all animals on Earth were one.
[EX A]: 彼が言うには昔々 ― 地球上のすべての動物はひとつでした
[EX Q]: We know the limits of the resources we have.
[EX A]: 私たちは今ある資源の限界を知っています
[EX Q]: The yeast comes alive an... | イーストは活性化して糖分を分解し始め二酸化炭素とアルコールができますげっぷや汗のようなものでパンの基本です
| 6 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
-0.0539078414440155,
0.5852036476135254,
-0.535556972026825,
-0.14676402509212494,
-0.726759672164917,
-0.8906026482582092,
0.23032665252685547,
0.41419127583503723,
-0.23406986892223358,
-0.649693489074707,
-0.3946874141693115,
-0.06040099635720253,
-0.7174944281578064,
0.463578999042511,... |
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.
@jamiesmart Huh! It's always my fault isn't it >:( #sulk | Angry | 0 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.6127581596374512,
0.05566079914569855,
1.0806456804275513,
-0.037665955722332,
-0.019998405128717422,
-0.8416745662689209,
0.05714445188641548,
0.13515718281269073,
0.4803169369697571,
0.46816378831863403,
0.1703404188156128,
-0.7244950532913208,
-0.45269614458084106,
-0.469889849424362... |
Teacher:Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use... | She is returning home. | 6 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.028248053044080734,
0.4177675247192383,
0.05629591643810272,
-0.13649852573871613,
-0.15686024725437164,
-0.6661111116409302,
0.8513745069503784,
0.6435539126396179,
-0.22132688760757446,
-0.2903435230255127,
-0.08804760128259659,
-0.07380872964859009,
-0.3835103511810303,
-0.42172741889... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
One example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution is here: पहले द... | ये जत्था दो पोतों में सूरत से जेद्दाह बंदरगाह पर १५७७ में पहुंचा और मक्का और मदीना को अग्रसर हुआ। | 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.32821235060691833,
0.21904394030570984,
0.2681608498096466,
0.06070709228515625,
0.4613880515098572,
-0.6497412919998169,
0.013035822659730911,
0.46562761068344116,
-0.03155713528394699,
-0.17077518999576569,
-0.6465712189674377,
-0.25344669818878174,
-0.5538060665130615,
0.1422240734100... |
Teacher:In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? Solve this instance: Question: Which structure of a bird is correctly paired wi... | Claws for obtaining food structure of a bird is correctly paired with its function. | 6 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
-0.1249326691031456,
1.2725636959075928,
-0.12505444884300232,
-0.6749402284622192,
-0.4874507188796997,
-0.6443589925765991,
0.2933935523033142,
0.5200453996658325,
-0.8819454908370972,
-0.28919291496276855,
-0.047181472182273865,
-0.4054085314273834,
-1.3476271629333496,
0.54586148262023... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is whe... | green_treasure_chest | 8 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.4948916733264923,
-0.11922058463096619,
-0.3691009283065796,
-0.09247642755508423,
-0.3323485255241394,
-0.3792186975479126,
-0.5672347545623779,
0.9018915295600891,
0.05478852614760399,
0.10292194038629532,
-0.07823623716831207,
0.2909930944442749,
-0.3882442116737366,
0.121832817792892... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
--------
Question: Grazie dell'ascolto.
Answer: Obrigado por me ouvirem.
Question: E se guardate questa immagine — qui siamo al 13 di settembre — vedrete pochi casi che si accendono.
Answer: E se olharem para esta ima... | A solução radical?
| 7 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
0.1443287581205368,
0.5761218070983887,
-0.26701682806015015,
-0.1934412270784378,
-0.7155328989028931,
-0.8403074741363525,
-0.0015739522641524673,
1.0834636688232422,
0.5662431716918945,
0.11940611898899078,
-0.4890993535518646,
0.4867269694805145,
-0.3122307062149048,
0.566226601600647,... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
--------
Question: English sentence: So, the sceptical me decided to try out the Ultimate Stack, a legal steroid stack by Crazy Bulk that a good friend of mine recommended.
Answer: Ya mere,... | Sylvia ọkụ herblessedseeds, on Facebook na Instagram
| 7 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.6195192933082581,
0.39515653252601624,
-0.1859596222639084,
-0.47357261180877686,
-0.19852279126644135,
-1.050032377243042,
0.26386064291000366,
0.3999951481819153,
0.092445507645607,
-0.4108554720878601,
0.1167304515838623,
0.4441257119178772,
-0.6541959047317505,
-0.37377262115478516,... |
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity... | Kongo: B-LOC | 2 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
-0.12274770438671112,
-0.18221887946128845,
-0.18994250893592834,
-0.2850891351699829,
-0.271894246339798,
0.21207354962825775,
0.6946463584899902,
0.2007991075515747,
0.547038733959198,
-0.6710983514785767,
-0.7692235708236694,
0.3922688961029053,
-0.38850951194763184,
0.309381902217865,
... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: What would happen if the electoral college voted for Hillary on Dec. 19th instead of Trump?, Question2: What do you think the odds are of an “Elector Revolt” on Dec. 19th... | Yes
| 0 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.8674761056900024,
-0.045741211622953415,
0.5202000141143799,
1.0196168422698975,
-0.3342382609844208,
-1.331492304801941,
-0.0275897067040205,
0.747625470161438,
0.09201520681381226,
0.453201562166214,
-0.04379221051931381,
-0.4496775269508362,
-0.2576390206813812,
0.2076389193534851,
... |
Given the task definition, example input & output, solve the new input case.
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 ... | Generic | 1 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-0.8417960405349731,
0.22137488424777985,
0.8673577904701233,
0.14967560768127441,
-0.1504145860671997,
-0.3839942216873169,
0.44415315985679626,
0.33021318912506104,
-0.06533139944076538,
0.33323943614959717,
-0.06610092520713806,
0.23576895892620087,
0.16756406426429749,
-0.6392413377761... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
[EX Q]: Dlaczego trzy? Kilka powodów.
[EX A]: Perché tre? Un paio di ragioni.
[EX Q]: Byłam sparaliżowana strachem, że nie zostanę zaakceptowana.
[EX A]: Ma ero paralizzata dalla paura di non essere accettata.
[EX Q]: (Śmi... | (Risate) E dopo anni di terapia, stiamo bene.
| 6 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.4129767417907715,
0.715447723865509,
-0.3413037359714508,
-0.8693937063217163,
-0.2791709303855896,
-0.5840426683425903,
0.968745768070221,
0.38710856437683105,
-0.10000374913215637,
-0.003341542324051261,
-0.31500113010406494,
0.8922709822654724,
-0.14766870439052582,
-0.14752852916717... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Ex Input:
acaccsscassa
Ex Output:
cssc
Ex Input:
dqqqg... | wwwwwww
| 1 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.5138454437255859,
0.8564023375511169,
-0.27067166566848755,
-0.567608654499054,
-0.5056577324867249,
-0.44898971915245056,
0.8889331817626953,
-0.3255141079425812,
0.20938371121883392,
-0.12028717249631882,
-0.4517562985420227,
0.36305147409439087,
-0.43056607246398926,
0.26503795385360... |
Detailed Instructions: 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.
See one example below:
Pro... | Non-threat | 4 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
0.039310358464717865,
-0.09881878644227982,
0.45946604013442993,
-0.1279778629541397,
0.5560530424118042,
-0.9401015043258667,
0.9330369234085083,
0.9147261381149292,
-0.21882516145706177,
0.3331432342529297,
0.5843464136123657,
-0.35723936557769775,
-0.6219644546508789,
-0.426775395870208... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: The weight of the political problem is in fact so great that it could discourage us when considering an obstacle suc... | Yes
****
| 4 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.7941804528236389,
0.3037688732147217,
0.5073721408843994,
0.4504796266555786,
0.37353795766830444,
-0.7965998649597168,
0.9156391620635986,
0.8469265699386597,
-0.35334697365760803,
0.008191857486963272,
-0.4602234363555908,
0.37993788719177246,
-0.1621028184890747,
0.1679559350013733,
... |
Detailed Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible rea... | Why was the narrator using vinegar ? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.32612550258636475,
0.2503674030303955,
-0.44195321202278137,
-0.01769356057047844,
-0.2435683161020279,
-0.8645212650299072,
0.02016209065914154,
0.8044617772102356,
0.12246108800172806,
0.19786149263381958,
-0.4420023560523987,
-0.46012967824935913,
-0.579847514629364,
0.421871632337570... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Q: This is quintessential Montreal.\n\nBar is a misleading term. It's a huge outdoor terrasse -- \""beergarden\... | POSITIVE | 4 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.310583233833313,
0.30779558420181274,
-0.3602670133113861,
-0.19221049547195435,
0.38346198201179504,
-0.7605194449424744,
0.49790704250335693,
0.44166556000709534,
1.1974589824676514,
0.43369972705841064,
-0.49604666233062744,
0.37615031003952026,
-0.42349129915237427,
0.22280199825763... |
Teacher:You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to ... | PersonX loved being around the rottweiler but PersonY did not as _ found big dogs very scary. | 6 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.04815000668168068,
0.16042566299438477,
0.1335071623325348,
0.10275676101446152,
0.18271073698997498,
-0.6567041277885437,
-0.00012454437091946602,
0.9955434799194336,
0.2985205054283142,
-0.9287257194519043,
-0.2903755009174347,
0.03586353361606598,
-0.41938358545303345,
-0.202539294958... |
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 ... | jump thrice after run right
| 6 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.21578077971935272,
0.641017735004425,
-0.3268837630748749,
0.0007837119046598673,
0.01597655937075615,
0.48727354407310486,
0.04362162575125694,
0.9311656951904297,
-0.39866483211517334,
-0.11670541763305664,
-0.7809622287750244,
-0.4613657295703888,
-0.7353093028068542,
-0.1292058825492... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: ¿Cuál era la causa de este comportamiento?
Student: | Cal era a orixe dese comportamento? | 6 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-1.163090467453003,
0.8897490501403809,
0.1721070259809494,
-1.2322540283203125,
-0.653928279876709,
-0.9386263489723206,
-0.2303704172372818,
0.6985554695129395,
-0.08511760830879211,
-0.13310253620147705,
-0.05550490692257881,
-0.11765343695878983,
-1.024441123008728,
-0.3563271164894104... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Example: It 's a lovely film with lovely performances by Buy and Accorsi .
Example solution: POS
Example explanation... | Solution: POS | 5 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.8963491916656494,
0.26281651854515076,
0.5387171506881714,
0.04366748034954071,
-0.14509716629981995,
-0.8642697334289551,
0.7028923034667969,
0.0399823859333992,
-0.03332793712615967,
0.06881928443908691,
-0.6795930862426758,
-0.6298567056655884,
0.5515105724334717,
0.28168952465057373... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
One example: Pero comenzamos con la idea de un niño por vez.
Solution is here: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is pre... | איך הם עשו לי את זה? "" והורה אחר אמר: "" אני מרגיש כאילו היה לי תפקיד בהוצאה להורג. "" אבל כששהורים האמריקאים נשאלו אם הם היו מעדיפים שהרופאים יקבלו את ההחלטה, כולם אמרו: "" לא. "" הם לא יכלו לדמיין להעביר את הבחירה למישהו אחר, למרות שביצוע הבחירה הזו גרם להם לחוש לכודים, אשמים, כועסים. | 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.5433779954910278,
0.6198626756668091,
0.13111497461795807,
-0.27373605966567993,
-0.5399627685546875,
0.1226799488067627,
1.4843435287475586,
1.0688488483428955,
0.7572733759880066,
-0.3243180513381958,
-0.1348942071199417,
0.6167296171188354,
-0.9910756349563599,
0.062366459518671036,
... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Q... | Inversion
****
| 4 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.5596280694007874,
0.3660227656364441,
0.6369466185569763,
-0.20990213751792908,
0.1417367160320282,
0.1385311484336853,
0.7094090580940247,
0.6869524717330933,
0.6498976945877075,
0.030497543513774872,
-1.0031416416168213,
-0.9851773977279663,
-0.5278898477554321,
-0.3549203872680664,
... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example input: سم ، خوبي ، تو حالت خوبه .
Example output: sam . alright , youre alright .
Example explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Q: شده .
A: | impacted . | 3 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.106967993080616,
0.7046185731887817,
-0.22737017273902893,
-0.8092238903045654,
0.06604358553886414,
-1.0283316373825073,
0.21222877502441406,
0.6361294388771057,
0.19554433226585388,
0.3108041286468506,
-0.40099143981933594,
0.9762675166130066,
-0.47152984142303467,
-0.23352205753326416... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: محترمہ سیتا رمن نے کہا کہ ‘‘کیا کاوے کیلاسا’’ کے نفاذ کے ذریعہ حکومت پردھان منتری کوشل وکاس یوجنا (ای ایم کے وی وائی) کے تحت 10 ملین نوجوانوں ک... | 2018 ഡിസംബര് 31 ന് മുമ്പ് നൂറ് ശതമാനം ഭവന വൈദ്യുതീകരണം പൂര്ത്തിയാക്കുന്ന സംസ്ഥാനങ്ങള്ക്ക് സൗഭാഗ്യയ്ക്ക് കീഴില് അനുവദിച്ച പദ്ധതി ചെലവിന്റെ പതിനഞ്ച് ശതമാനം അധിക ഗ്രാന്റായി (പ്രത്യേക വിഭാഗ സംസ്ഥാനങ്ങള്ക്ക് അഞ്ച് ശതമാനം) ലഭിക്കും.
| 6 | NIv2 | task1060_pib_translation_urdu_malayalam | fs_opt | [
-0.172860786318779,
0.8347671031951904,
0.13996955752372742,
-0.7798721790313721,
0.16983561217784882,
-0.2929283380508423,
0.34732094407081604,
1.0965121984481812,
-0.2919909656047821,
0.38539403676986694,
-0.11892599612474442,
0.4610305428504944,
-0.2848227620124817,
0.0600135363638401,
... |
Given the task definition, example input & output, solve the new input case.
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.
Example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అర... | What it looks like is the spontaneous cellular transferral we've been trying to achieve for months. | 1 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.5131839513778687,
0.9503651857376099,
0.21930092573165894,
0.4119143486022949,
0.14341488480567932,
-0.7563687562942505,
-0.47718602418899536,
0.6516916155815125,
-0.025568276643753052,
-0.19547471404075623,
-0.35515376925468445,
-0.21190008521080017,
-0.21928885579109192,
-0.1101385280... |
Q: In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering... | Yes-no | 7 | NIv2 | task462_qasper_classification | zs_opt | [
-0.20260083675384521,
0.031046099960803986,
0.04308927059173584,
0.015721797943115234,
0.06139064580202103,
-0.6429049372673035,
0.9145501852035522,
0.6803921461105347,
0.4785972833633423,
0.010442238301038742,
-0.7990229725837708,
0.3831307590007782,
-0.7410537600517273,
0.509853720664978... |
instruction:
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Spanish... | La señora Dashwood sonrió y no dijo nada.
| 9 | NIv2 | task1651_opus_books_en-es__translation | fs_opt | [
0.8495877385139465,
0.8039050698280334,
0.0029268062207847834,
-0.6845951676368713,
-0.3228992223739624,
-1.7340201139450073,
1.11381196975708,
0.9407159686088562,
0.07613053172826767,
-0.8526818156242371,
0.15186965465545654,
0.8856854438781738,
-0.8109396696090698,
-0.0792284905910492,
... |
Given the task definition, example input & output, solve the new input case.
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Example: what kind of film is Best Seller?
Output: crime
The an... | Ellen Simon, Terrel Seltzer | 1 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.9348416328430176,
0.0230201818048954,
-0.6213383674621582,
0.8562915325164795,
0.2506844401359558,
0.58437180519104,
0.09785903245210648,
0.34616658091545105,
0.06340768933296204,
-0.01101740449666977,
-0.5646560192108154,
-0.16646495461463928,
-0.2707200348377228,
-0.20139729976654053,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent w... | Because I already prepared the job related materials and now I 'm doing even more for it . | 0 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
-0.7878494262695312,
0.8553354740142822,
-0.6513334512710571,
0.4355941414833069,
-0.0832679271697998,
0.010897831059992313,
0.7098298072814941,
0.4496713876724243,
-0.07314687967300415,
-0.6350271105766296,
-0.15197643637657166,
0.13943348824977875,
-0.6393188834190369,
0.0420485809445381... |
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 and a question, you would be asked to create the answer which is contained in the sentence provided.
Sentence: Having white fur trait would a cat most likely i... | fructose | 0 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
-0.8279082775115967,
0.8639620542526245,
-0.10476043820381165,
-0.494604229927063,
-0.6688777208328247,
0.14525282382965088,
0.11872569471597672,
1.253368854522705,
0.1766834259033203,
-0.05894093215465546,
-0.5938482284545898,
0.3390529155731201,
-0.5067951679229736,
0.3822804093360901,
... |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
[Q]: Jake bought a ... | Answerable
| 5 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.130783349275589,
0.03070303611457348,
0.26960280537605286,
-0.03423433378338814,
0.34874510765075684,
-0.14184150099754333,
0.7425888776779175,
0.6818466186523438,
-0.17908386886119843,
0.4640458822250366,
-0.21438732743263245,
0.1500113308429718,
-0.3952626585960388,
0.0446980297565460... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Así que de todos modos me lo creí, aún cuando no tenía mucho sentido.
A: | And so I believed it anyway, even though it didn't make much sense. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.3278385400772095,
0.8389028310775757,
0.32221662998199463,
-0.39832428097724915,
0.2910296618938446,
-0.8491290211677551,
-0.1575801968574524,
0.7463186383247375,
0.5911040306091309,
-0.5589516758918762,
0.13300487399101257,
0.1781580150127411,
-0.9009254574775696,
0.03612326830625534,
... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
One example is below.
Q: Igbo sentence: Olee kwere omume?
A: How is this possible
Rationale: The English translation means the same as the original sentence in the Igbo language.
Q: Igbo sen... | Because I want you to long cunnilingus to Watch I want you to S-Cute 446 Aimi # 4 teasing | 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
0.025425981730222702,
0.7090378999710083,
-0.12446216493844986,
-0.35936665534973145,
-0.10018818080425262,
-1.2614362239837646,
0.6254376173019409,
0.39866697788238525,
0.06182476133108139,
-0.8286826610565186,
0.13674964010715485,
-0.046984292566776276,
-0.7588553428649902,
-0.0198471043... |
Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: I made Ellen feel happy.
Output: | female | 3 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.5804550647735596,
0.749013364315033,
-0.3695593476295471,
-0.8026754856109619,
-0.29942238330841064,
-0.3044073283672333,
0.5384255647659302,
0.4829014539718628,
0.5474013686180115,
0.1004880741238594,
-0.7868614196777344,
-0.2642469108104706,
-0.8467931747436523,
-0.25338780879974365,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
אז זה איפה שהם כיום. | Así que aqui é onde estamos hoxe. | 0 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-1.3951754570007324,
0.8100394606590271,
0.22748947143554688,
-0.8849751353263855,
-0.08775854110717773,
-0.18942639231681824,
0.19937929511070251,
0.1399422138929367,
0.5575180053710938,
-0.6303662061691284,
-0.539624810218811,
0.4338526725769043,
-0.29417723417282104,
-0.0108602009713649... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Fred asks out Sally >Causes> Sally feel(s) happy | 6 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.1737869530916214,
0.8070160150527954,
-0.40569233894348145,
-0.5089919567108154,
-0.10829360783100128,
-1.197705864906311,
0.4977334439754486,
0.32102006673812866,
-0.3053275942802429,
-0.28934863209724426,
-0.4710814952850342,
0.8282232880592346,
-0.19277934730052948,
-0.124173656105995... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
[Q]: E l'idea fondamentale è che volete pianificare i vostri movimenti allo scopo di minimizzare le conseguenze negative del rumore.
[A]: הרעיון הבסיסי הוא שרוצים לתכנן את התנועות כך שההשפעה השלילית של הרעש תהיה מינימלית.
... | על ידי שיר שמסביר מה קורה לי, בזמן שזה קורה, זה נתן לקהל את האישור לחשוב על זה.
| 5 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.36565130949020386,
0.5756449699401855,
-0.16956305503845215,
0.05559409782290459,
-0.5148732662200928,
0.01290783192962408,
0.6576682329177856,
0.39690300822257996,
0.2691223621368408,
-0.4694308042526245,
-0.6031508445739746,
-0.18276020884513855,
-0.6190870404243469,
-0.02166334912180... |
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 will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of diction... | [{'first': -98, 'second': 66}, {'first': -96, 'second': -32}, {'first': -52, 'second': -51}, {'first': 93, 'second': 93}] | 0 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.14977097511291504,
-0.277749240398407,
-0.46447187662124634,
0.414792001247406,
0.7837616205215454,
-0.2548491358757019,
0.33719122409820557,
1.026361107826233,
-0.06595414131879807,
-0.2976571321487427,
-0.4623206853866577,
-0.8058944940567017,
-0.49657773971557617,
0.15347960591316223,... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
आप लोगों ने जो पुराने अनुभवी लोग हैं उनसे सुना होगा कि अगर किसी घर में आग लग जाए, उनकी सम्पत्ति पूरी जल जाए, कहते हैं वो परिवार स्वपुरुषार्थ से बहुत जल्... | നിങ്ങളുടെ കൂട്ടത്തിലുള്ള മുതിര്ന്ന, ദീര്ഘകാലത്തെ പരിചയമുള്ളവരില് നിന്നു നിങ്ങള് കേട്ടിട്ടുണ്ടാകും-... ഒരു വീടിന് തീ പിടിച്ചാല്, സമ്പത്തു മുഴുവനും കത്തി നശിച്ചാല് ആ കുടുംബം സ്വന്തം പരിശ്രമത്തിന്റെ ഫലമായി വളരെവേഗം തന്നെ വീണ്ടും സ്വന്തം കാലില് നില്ക്കാന് തുടങ്ങുന്നു. | 7 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
0.42319798469543457,
1.1387341022491455,
0.07800699025392532,
-0.3738671839237213,
0.2772725522518158,
-1.7108488082885742,
0.7005079984664917,
0.6360102891921997,
-0.614122748374939,
-0.40466630458831787,
-0.23389461636543274,
0.19606594741344452,
-1.0650297403335571,
0.31108522415161133,... |
In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Example Input: With so many distinct A... | A respirator is a kind of mask that is used to protect someone from breathing in dusts , fumes , or gases that might hurt them .
| 3 | NIv2 | task933_wiki_auto_style_transfer | fs_opt | [
-0.03847382217645645,
0.712346613407135,
-0.16707289218902588,
-0.5023908615112305,
-0.17934077978134155,
-1.2605724334716797,
0.28480982780456543,
0.8262965679168701,
-0.5608441233634949,
0.04814668372273445,
-0.252673864364624,
0.2473163604736328,
-0.5575686693191528,
-0.3880681395530700... |
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 produce the t... | Mammals are a class of animal. | 3 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
0.04460509866476059,
0.7184711694717407,
-0.8949387073516846,
0.39879709482192993,
-0.8769516944885254,
-1.259819507598877,
-0.6511547565460205,
0.8730217218399048,
-0.6495829224586487,
0.05335422605276108,
-1.2280701398849487,
0.6774026155471802,
-0.4692953824996948,
-0.2727168798446655,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using th... | 43215 | 1 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
0.1337093710899353,
0.6769115328788757,
0.1651606559753418,
-0.06470029056072235,
0.18001198768615723,
-0.02496955171227455,
0.29141491651535034,
0.4669750928878784,
0.31072139739990234,
-0.13047878444194794,
-1.0262479782104492,
-0.30606621503829956,
-1.1364338397979736,
0.076445281505584... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
כשהקרנתי אותו, ושאלתי מיד בתום ההקרנה, מה הם חושבים עליו, מה היו התמונות שזכרתם, הם שינו אותן.
وسألت مباشرة بعد انتهاء عرضها ، عن رأيهم فيها ، وعن اللقطات التي علقت بأذهانهم ، غيروها.
ויש אלף ואחת כתבות שאומרות לנו איך לאזן ... | وظهر لي الجواب ، ٢١ أكتوبر / تشرين أول.
| 0 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.5595376491546631,
0.23034635186195374,
0.06153963506221771,
-0.29193130135536194,
-0.8700812458992004,
-0.2800021767616272,
0.850257396697998,
0.1271178126335144,
0.35577911138534546,
-0.22889985144138336,
0.008404170162975788,
0.05912201851606369,
-0.5411016941070557,
0.585432648658752... |
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 ... | ADV | 8 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7143374681472778,
0.2950204610824585,
-0.022939251735806465,
0.07942110300064087,
0.14143845438957214,
-0.6661508083343506,
0.8700515031814575,
0.7768980264663696,
-0.3900216519832611,
-0.2325420081615448,
-0.1891554892063141,
0.09643163532018661,
-0.44933557510375977,
0.5993397235870361... |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expr... | Negative | 4 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.5904227495193481,
0.31837230920791626,
0.7886810302734375,
0.20722761750221252,
0.4935988783836365,
-0.7284853458404541,
0.2237481027841568,
0.8836914300918579,
0.565394401550293,
0.036526624113321304,
-0.20460811257362366,
0.14549420773983002,
-0.6196213364601135,
-0.4546334147453308,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Example input: Os "" media "" interligavam-se connosco.
Example output: Media łączyły się z nami.
Example explanation: The Portugese sentence is correctly translated into Polish, because the meaning is preserved.
Q: A... | Aleksander Wielki zaczął podbijać świat, a Hyperejdesowi wytoczono proces o zdradę. | 3 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
0.05176157131791115,
1.1730927228927612,
0.08432953804731369,
-0.2596346437931061,
-0.43955063819885254,
-0.6161820888519287,
0.38489463925361633,
-0.38442879915237427,
-0.11983544379472733,
-0.8688880205154419,
-0.6889225244522095,
0.18150803446769714,
-0.9436825513839722,
-0.150813952088... |
instruction:
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHE... | ¿Cómo es la cadencia de la remezcla de 2000 de All I Want for Christmas Is You?
| 9 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.6604527831077576,
0.041626159101724625,
0.06658090651035309,
0.1768110990524292,
0.6507329940795898,
-0.011256284080445766,
0.7522192001342773,
0.9827362298965454,
0.07381059229373932,
0.0460413321852684,
0.16850247979164124,
0.3811892867088318,
-0.7206582427024841,
0.35230305790901184,
... |
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 Spanish.
With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportu... | Creo realmente que el obstáculo más grande es la naturaleza a largo plazo de los beneficios de los programas de niñez temprana. | 0 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.8103576898574829,
0.45887744426727295,
0.36876994371414185,
-0.07663749158382416,
-0.1543685495853424,
0.46504878997802734,
0.46777814626693726,
1.0541293621063232,
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-0.2032857984304428,
-0.7847002148628235,
0.004649218637496233,
-0.6750813126564026,
-0.079345777630... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution is here: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពី... | អ្នកស្រុកនៅតំបន់ស៊ីស្វូ បានប្រាប់អេអែហ្វភីថា "ភ្លាមៗនោះខ្ញុំមានអារម្មណ៍ថាផ្ទះខ្ញុំរញ្ជួយ ហើយខ្ញុំគិតថាមានការរញ្ជួយដី។" | 6 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.11942864954471588,
0.7476161122322083,
-0.5858167409896851,
0.3888739347457886,
-0.08374184370040894,
-0.6579000949859619,
0.6606958508491516,
0.6043838262557983,
-0.19485166668891907,
-0.44404155015945435,
-1.1158456802368164,
0.9830087423324585,
-0.8570736646652222,
0.6388348340988159,... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Part 2. Example
Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Answe... | Mas este uso das cores não era apenas um ato artístico. | 7 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.25772345066070557,
0.6537880897521973,
0.07836775481700897,
-0.2703666388988495,
0.08649751543998718,
-0.35255318880081177,
-0.8809961080551147,
1.3234370946884155,
-0.6607837677001953,
0.24952492117881775,
-0.7818441390991211,
0.017732076346874237,
-0.08084635436534882,
-0.543114244937... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@GrahamNorton you don't come here often do you | positive | 0 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.845583438873291,
-0.1905510425567627,
1.583443522453308,
0.10226225107908249,
0.42310523986816406,
-1.6857078075408936,
-0.7232543230056763,
0.4111221134662628,
0.5243951678276062,
1.048785924911499,
-0.9786984920501709,
-0.4738606810569763,
-0.3116523027420044,
-0.9808048605918884,
-... |
Definition: Given a sentence in Korean, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Input: 볼티모어 (Baltimore)시를 기반으로 한 공연은 결코 언급되지 않았습니다.
Output: | Basierend auf der Stadt Baltimore, die nur erwähnt wurde, hat sie noch nie in der Show besucht. | 2 | NIv2 | task786_pawsx_korean_german_translation | zs_opt | [
0.4398888349533081,
0.7942224740982056,
-0.013980873860418797,
-0.20020458102226257,
-0.0012947814539074898,
-0.4230949878692627,
1.368217945098877,
-0.01769908331334591,
0.9099366664886475,
-0.6873769760131836,
0.2795843482017517,
0.49032098054885864,
-0.7768230438232422,
1.00550222396850... |
Q: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Oficialii de la pista de curse North Carolina din Rockingham nu au putut fi contactați.
A: | Officials with North Carolina Speedway at Rockingham could not be reached. | 7 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.08119013160467148,
0.111136794090271,
0.04612082988023758,
-0.7953605651855469,
-0.10629599541425705,
-1.1592415571212769,
-0.5441027879714966,
0.010607177391648293,
0.8292988538742065,
0.2566538453102112,
0.014706728979945183,
0.24944572150707245,
-0.26313456892967224,
0.33256384730339... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा... | Solution: In this region Lignite, Fullers Earth, Tungsten, Bentonite, Gypsum, Marbel etc ore materials are found in rich amount. | 5 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.06116785854101181,
0.35433143377304077,
0.6931099891662598,
0.4049065411090851,
0.16084149479866028,
-0.4980970621109009,
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0.8516615629196167,
-0.26748019456863403,
-0.25095534324645996,
-0.9794996380805969,
-0.29493969678878784,
-0.37891051173210144,
0.2271948158740... |
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 premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sen... | She saw a lot of kids in the village. | 0 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.5763269662857056,
0.47642868757247925,
-0.2478533387184143,
0.5110607147216797,
0.22531452775001526,
-1.2194344997406006,
0.38687819242477417,
0.8280595541000366,
-0.04404110461473465,
-0.4547058939933777,
-0.7896348237991333,
-0.02439301833510399,
-0.4438992738723755,
0.2674757242202759... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Part 2. Example
"" Nessun uomo è un'isola completamente a sé.
Answer: "" אף אדם אינו אי העומד בפני עצמו.
Explanation: The Italian sentence is correctly translated into Hebrew, because the meaning is preser... | קודם תיארתי את הבעיות בבייג 'ינג: זיהום, צפיפות, פסולת וכן הלאה. | 7 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.000028251786716282368,
0.7589779496192932,
-0.3248996138572693,
-0.46936291456222534,
-0.10057637840509415,
-0.17152029275894165,
1.7364310026168823,
0.2910465896129608,
0.08512592315673828,
-0.3267192840576172,
-0.9682204723358154,
0.30566757917404175,
-1.2389824390411377,
0.3837214112... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the... | geopolitical
| 3 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.7521039247512817,
0.2388467788696289,
0.4645630121231079,
0.34690016508102417,
-0.34212636947631836,
-0.19991286098957062,
0.1791161596775055,
0.18045219779014587,
0.04945467785000801,
-0.11697074770927429,
-0.6481803059577942,
-0.2335706502199173,
-0.22063082456588745,
-0.4170278906822... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | False | 3 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.10101865231990814,
0.8081667423248291,
-0.04908832907676697,
0.4236740469932556,
0.1096259355545044,
-1.2311831712722778,
0.47074389457702637,
0.7960823774337769,
0.26690351963043213,
0.058121178299188614,
-0.3069353997707367,
0.15093247592449188,
-0.37603121995925903,
0.0976285561919212... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Problem:(CNN) -- The... | Vine | 8 | NIv2 | task339_record_answer_generation | zs_opt | [
0.13263137638568878,
-0.2235763818025589,
-0.6650422811508179,
0.35596412420272827,
0.00490510743111372,
0.04452572017908096,
0.06733360141515732,
1.560964822769165,
-0.17501552402973175,
0.5695281028747559,
0.2670641243457794,
-0.3892343044281006,
-0.8190842866897583,
0.2563546597957611,
... |
TASK DEFINITION: In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the pa... | Com representa el pintor l'escena del diluvi?
| 8 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.72981858253479,
0.16883344948291779,
-0.15301863849163055,
0.24166250228881836,
0.33007991313934326,
-0.1584356129169464,
1.169034481048584,
0.8929458856582642,
0.00002002227120101452,
-0.2658958435058594,
-0.0059097385965287685,
-0.022557098418474197,
-0.3071499466896057,
0.477883100509... |
Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Input: Fact1: bad weather decreases visibility while driving, Fact2: Secondary accidents are a major problem under driving conditions of reduced... | A | 3 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.2177196890115738,
-0.09905215352773666,
0.3832567632198334,
0.2329546958208084,
-0.9772934913635254,
-0.09805342555046082,
-0.07438027113676071,
1.3384785652160645,
-0.10122092068195343,
0.12701943516731262,
-1.3182170391082764,
-0.5061181783676147,
0.3454374670982361,
-0.14148411154747... |
Part 1. Definition
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask yo... | probability | 7 | NIv2 | task834_mathdataset_classification | fs_opt | [
-0.10612770169973373,
0.3398855924606323,
-0.24152839183807373,
-0.37867456674575806,
0.20844292640686035,
0.2730170488357544,
0.7228149175643921,
0.5798811912536621,
0.17605060338974,
-0.35556668043136597,
-0.63548344373703,
-0.20113027095794678,
-0.244697704911232,
0.06380415707826614,
... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | Output: 2, She put her face down to avoid the harsh wind coming towards her face.
| 2 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.4358992576599121,
0.7819629311561584,
-0.15022684633731842,
-0.4447472393512726,
0.6097603440284729,
0.11459929496049881,
-0.010777365416288376,
0.5260884165763855,
-0.15175092220306396,
0.03583819791674614,
-0.3645559549331665,
-0.06214720010757446,
0.12799999117851257,
-0.114435672760... |
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answe... | Step1: What type of music is usually played at funerals?, Step2: What are the characteristics of Happy Hardcore music?, Step3: Do any of #1 have the characteristics of #2?, Wikipedia page for step 1: wiki: Funeral, Wikipedia page for step 2: wiki: Happy Hardcore, Wikipedia page for step 3: , not_definitive_answer: Fals... | 7 | NIv2 | task168_strategyqa_question_decomposition | fs_opt | [
0.9795281291007996,
-0.16346988081932068,
-0.6200613975524902,
0.8267310857772827,
0.3061830401420593,
-1.3901431560516357,
1.148540735244751,
0.884652853012085,
0.22568252682685852,
0.37814751267433167,
-0.25214624404907227,
0.577863872051239,
-0.6134611368179321,
0.2698548436164856,
-0... |
Given the task definition and input, reply with output. Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
All Lives do matter and we can do a much better job of di... | Not Hope Speech | 5 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.44290846586227417,
-0.010764067992568016,
0.579461395740509,
0.3331884741783142,
-0.732120156288147,
-0.4611532688140869,
0.472334623336792,
0.6606955528259277,
-0.2763201594352722,
-0.11041662096977234,
-0.39911314845085144,
0.09061833471059799,
-0.1833660751581192,
0.0829017162322998,... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Example Input: As someone heads off, someone follows. They
Example Output: enter the producer's office.
Example Input: There are people standing and seated in the bleachers watching... | gives the money to someone.
| 3 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.38398510217666626,
0.7364691495895386,
-0.8989691734313965,
0.6208131313323975,
-0.1648949384689331,
-0.66452556848526,
-0.4792717695236206,
0.22715815901756287,
0.41274964809417725,
0.12665170431137085,
-0.29173654317855835,
-0.6557763814926147,
-0.03968597203493118,
-0.5991119742393494... |
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.
PersonX beats PersonY's brains out | to cause harm | 0 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.18387356400489807,
0.9112967252731323,
0.14563636481761932,
-0.5061080455780029,
-0.576860785484314,
-0.27657485008239746,
0.8802558183670044,
0.11991289258003235,
0.4805963635444641,
-0.6445282697677612,
-0.35007578134536743,
-0.27048420906066895,
-0.7633501291275024,
0.557644426822662... |
Teacher: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 t... | Amy's father was furious he had to bring her gas. | 6 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.04307591915130615,
0.3758264183998108,
0.3698826730251312,
-1.0479280948638916,
-0.6703286170959473,
-0.7577817440032959,
0.6927082538604736,
0.8445383310317993,
0.24863511323928833,
-0.2591366469860077,
-0.48347407579421997,
0.3214842677116394,
0.11055957525968552,
-0.23108112812042236... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Y... | No
| 8 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.4195394814014435,
0.2295273095369339,
0.19193512201309204,
-0.23674631118774414,
-0.4478153586387634,
-0.6080645322799683,
1.3985615968704224,
0.4808600842952728,
-0.4663742780685425,
-0.6112525463104248,
-0.34616363048553467,
-0.7262054085731506,
-0.5793920755386353,
0.16573825478553772... |
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 Farsi.
Fui a esconderme en mi habitación, debajo de la manta, y esperé a que mi padre llegara a casa de trabajar, y podría decir, que con mucho temor.
| رفتم به اتاقم و زیر لحاف قایم شدم ، و آنقدر آنجا ماندم تا پدرم از کار برگشت با دلهره فراوان. | 5 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.611513078212738,
1.1756582260131836,
-0.24040448665618896,
0.23389224708080292,
-0.41139209270477295,
0.6516541242599487,
0.5966712236404419,
0.5401075482368469,
0.2729645371437073,
0.10662726312875748,
-0.7411668300628662,
0.6111775636672974,
-1.1197103261947632,
-0.1819089651107788,
... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Example input: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a ... | Yes | 3 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.42145344614982605,
0.33251893520355225,
-0.006981228943914175,
0.5857040882110596,
0.42878398299217224,
-0.7375750541687012,
0.5113762617111206,
0.32775840163230896,
0.10403531789779663,
-0.4063328802585602,
0.03988754376769066,
0.11294489353895187,
-1.0326919555664062,
-0.05193614959716... |
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 Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation... | Yes | 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.2647297978401184,
0.5831184983253479,
0.08130572736263275,
0.40018779039382935,
-0.12379149347543716,
0.27106040716171265,
-0.20821517705917358,
0.4143930971622467,
-0.2535169720649719,
-0.173803448677063,
-0.4454864263534546,
0.3676556348800659,
-0.32746827602386475,
0.0968752428889274... |
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 input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | « وطعام » طعام « مذاب » مطبوخ « في المطبوخ » المطبوخ والمأكول في الجنة. | 6 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.8686738014221191,
0.278923898935318,
-0.3801635503768921,
-0.4931778907775879,
-0.43256527185440063,
-0.3167347013950348,
1.2742393016815186,
0.9767231941223145,
0.3621109127998352,
-0.6526094675064087,
-0.3486582636833191,
-0.25152724981307983,
-0.9362898468971252,
0.2795630991458893,
... |
Definition: You are given a statement written in Gujarati. 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 .
Input: Statement: દંતકરોડી (તા. ચાણસ્મા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ઉત્તર ભાગમા... | ભારત | 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.29289060831069946,
0.9500543475151062,
0.08139351010322571,
-0.04165896400809288,
-0.9170916080474854,
-0.40141168236732483,
0.39820924401283264,
0.4979286193847656,
-0.14292192459106445,
0.19862774014472961,
-0.3653838634490967,
-0.03362630307674408,
-0.23287343978881836,
-0.06788931787... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: De feito, un membro da sociedade só esta realmente morto cando a gran familia se pon de acordo e pon en marcha os recursos necesarios para levar a cabo o funeral que se considere apropiado en termos de... | في الواقع ، العضو في المجتمع يكون ميتا حقا فقط عندما تتفق الأسرة الممتدة على ذلك وتحشد الموارد اللازمة لإقامة مراسم التشييع التي تعتبر مناسبة من حيث الموارد لمكانة المتوفى. | 3 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.1020067036151886,
1.017268180847168,
-0.05376499146223068,
-0.9890832901000977,
-0.033245865255594254,
-0.4635007381439209,
1.5122779607772827,
0.37705159187316895,
-0.2623438835144043,
0.17719900608062744,
-0.27446481585502625,
-0.05864844471216202,
-0.7071202397346497,
0.7448326945304... |
Detailed Instructions: Given the Question and Answer pair, detect whether the answer is acceptable or not. Denote acceptable answer as "yes", otherwise denote as "no". An acceptable answer is consistent with the context in question, detailed, long, and uses general knowledge of English. Answers that are not definite an... | no | 8 | NIv2 | task226_english_language_answer_relevance_classification | zs_opt | [
0.6645675301551819,
0.7211951017379761,
0.2690356373786926,
0.5693926811218262,
0.013773367740213871,
-1.4641972780227661,
0.2705157995223999,
1.3226892948150635,
0.13250327110290527,
0.1484375149011612,
-0.5499321222305298,
-0.2025935798883438,
-0.4961124360561371,
0.09517040848731995,
... |
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.
One example: De Britse premier David Cameron noemt de TTIP... | A questão do "outro" cultural não se colocava. | 6 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.2930987477302551,
0.7498540878295898,
0.037881530821323395,
-0.08103035390377045,
-0.0724123865365982,
0.3215109705924988,
-0.8296815156936646,
0.8541126251220703,
0.15220263600349426,
0.27508512139320374,
-0.2964407801628113,
0.5065674781799316,
-0.9830985069274902,
-0.1891429424285888... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | business trip
| 5 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.5830602645874023,
0.17903225123882294,
-1.1641879081726074,
0.16539594531059265,
0.03617813065648079,
-0.4267258048057556,
0.5707917809486389,
0.9024509787559509,
-0.039496079087257385,
0.21418999135494232,
-0.02559409663081169,
-0.06106376275420189,
-0.38935962319374084,
0.0511221662163... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Input: I am standing here today and declaring that we can end child marriage in a generation.
Output: | אני עומדת כאן היום ומכריזה שאנו יכולים לסיים את נישואי הילדים בתוך דור אחד. | 2 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
0.018021389842033386,
0.5536343455314636,
-0.14910991489887238,
-0.15078049898147583,
-0.5195003747940063,
-0.2564229965209961,
0.49691852927207947,
0.6813741326332092,
1.4015167951583862,
0.308566689491272,
-0.027245786041021347,
0.6815568208694458,
-0.768867015838623,
0.07152539491653442... |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transporte é o centro deste un... | (Risos) E ela disse-me, quando eu perguntei o óbvio: "A radiação não me assusta. A fome, sim." | 2 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.5489240288734436,
0.7177425026893616,
0.39180392026901245,
0.05099421739578247,
-0.9601626396179199,
-0.6764237880706787,
0.3761941194534302,
0.29559069871902466,
-0.09043151140213013,
-0.09217070788145065,
-0.7576758861541748,
0.45088210701942444,
-0.558394193649292,
0.2650482356548309... |
TASK DEFINITION: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should b... | No.
| 8 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.6940628290176392,
0.4328174293041229,
-0.4669250249862671,
0.2842699885368347,
0.6187740564346313,
-0.43947339057922363,
0.605568528175354,
0.5683853626251221,
-0.5192857980728149,
0.34770071506500244,
-0.5431938171386719,
0.4009036719799042,
-0.3859080374240875,
0.16584643721580505,
-... |
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 context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A"... | C | 0 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.7007913589477539,
0.17875957489013672,
-0.4746842384338379,
-0.16638167202472687,
0.028901061043143272,
-0.4939666986465454,
1.0637702941894531,
1.148252010345459,
0.21245098114013672,
0.2788452208042145,
-0.29521992802619934,
-0.2866257429122925,
0.0742477998137474,
0.24529629945755005,... |
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: rBkTelxrkVm, MwPelxrvwtO
A: | elxr | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.8813809156417847,
1.8483291864395142,
0.5839754343032837,
-0.44050055742263794,
-0.30606335401535034,
0.21714110672473907,
0.36997339129447937,
-0.6801483035087585,
0.02206464298069477,
-0.7663698792457581,
-0.22460386157035828,
-0.44943010807037354,
-0.3091786503791809,
0.31615382432937... |
Part 1. Definition
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of t... | ADP | 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.5332164764404297,
0.4267776608467102,
0.104763925075531,
-0.08456496894359589,
0.13083171844482422,
-0.7209911942481995,
0.8907631635665894,
0.9609398245811462,
-0.6327189207077026,
-0.3444463312625885,
-0.13260537385940552,
0.1107700914144516,
-0.5802409648895264,
0.3375580608844757,
... |
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