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 |
|---|---|---|---|---|---|---|
Teacher:Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well f... | Good | 6 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.5897423028945923,
0.45288074016571045,
-0.2093261033296585,
-0.29220277070999146,
-0.8463574051856995,
-0.559045135974884,
0.6845505237579346,
0.46033090353012085,
-0.2088998258113861,
-0.10575259476900101,
-0.13233456015586853,
-0.20929217338562012,
-0.22730490565299988,
-0.42471784353... |
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? If you are still confused, see the following example:
Question: Which is an ex... | Carcinogens kind of potentially harmful compounds can barbecuing food create. | 2 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.45133256912231445,
0.8324352502822876,
-0.13971549272537231,
-0.009868928231298923,
-0.5938107967376709,
-1.1948521137237549,
1.313392162322998,
1.2191681861877441,
-0.04248616099357605,
-0.1333136409521103,
-0.0936102420091629,
0.2750159800052643,
-0.33875882625579834,
-0.23121961951255... |
Detailed Instructions: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provid... | True | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.1479494273662567,
0.5000026822090149,
-0.9432557225227356,
-0.8505586385726929,
-0.27291378378868103,
-0.4741266965866089,
0.3549463748931885,
1.0784310102462769,
0.7297117114067078,
-0.0655631273984909,
-0.5385583639144897,
-0.13594645261764526,
-0.868816614151001,
-0.17358215153217316,... |
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
Ex Input:
Event:PersonX returns to PersonY's village. Int... | gratefull
| 1 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.07578147202730179,
0.01864718645811081,
-0.04067602753639221,
-0.1615728735923767,
-0.866992712020874,
-0.7512099742889404,
1.3358080387115479,
0.47458040714263916,
-0.07238426804542542,
-0.3602558374404907,
0.09767638146877289,
0.3033113479614258,
-0.5519005656242371,
0.3840515315532684... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
מה מייחד את המוח האנושי?
Solution: 人の脳の何がそんなに特別なのでしょうか ？
Reason: The Hebrew sentence is correctly translated into Japanese.... | それを踏まえると難しい争点になりそうです | 2 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.4671841859817505,
0.11813525855541229,
0.6498187184333801,
-0.8296900391578674,
-0.616476833820343,
-0.3724808096885681,
0.7940247058868408,
-0.6084587574005127,
0.733083963394165,
-1.0726335048675537,
-0.7136428356170654,
0.07315512746572495,
-0.7255973815917969,
0.7480494379997253,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Por iso estamos a proba-lo noso modelo agora mesmo e estamos intentando descubrir se pode atraer un grupo de actores capaces e con ganas de darlle vida a INCRA.
ולכן, אנו בוחנים את המודל שלנו כרגע, ולמה אנו מנסים למצוא אם... | אני אקולוג, בעיקר אקולוג של שוניות אלמוגים.
| 0 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.9358890056610107,
0.6616293787956238,
-0.010103441774845123,
-0.06726765632629395,
-0.37538331747055054,
-1.1888527870178223,
-0.1856379210948944,
0.16654592752456665,
0.022962667047977448,
0.5283676385879517,
-0.3240901529788971,
0.31056612730026245,
-1.0109034776687622,
-0.07530087232... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Input: Consider Input: Category: ORGANIZATIONS
Clue: This service "Club" has a 4-way test of... | Output: mounds
| 2 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.4064585566520691,
0.9881950616836548,
-0.011008592322468758,
-0.12336800247430801,
0.16854077577590942,
-0.22981978952884674,
0.3349090814590454,
-0.4224824905395508,
0.560217022895813,
0.263248085975647,
-0.26376640796661377,
0.34973180294036865,
-0.4304453432559967,
-0.069190084934234... |
Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) ... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.04859647527337074,
0.12808582186698914,
-0.025488082319498062,
0.14065688848495483,
0.28731366991996765,
-0.2290915548801422,
0.26719653606414795,
0.7486729621887207,
-0.5544370412826538,
0.4602244794368744,
-0.15830907225608826,
-0.38039207458496094,
-0.5850749015808105,
-0.260105192661... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: شرکتهای تجارتی چون بازرگان شناخته میشوند، مشمول مق... | کدام شرکت مشمول مقررات ورشکستگی است؟ | 6 | NIv2 | task468_parsinlu_rc_question_generation | zs_opt | [
-0.3010867238044739,
0.5755597352981567,
-0.11575514078140259,
-0.17191451787948608,
-0.5603081583976746,
0.8759385347366333,
0.8306622505187988,
0.5851667523384094,
0.29971373081207275,
-0.3911683261394501,
-0.8385992050170898,
0.31495553255081177,
-0.09952758252620697,
0.2641033530235290... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Example Input: Pero houbo unha cámara que non descubriron e foi a dun rapaz que entrou simplemente cunha cinta foi ao departamento de cámaras de Best Buy meteu a cinta nunha das cámaras e fixo como que mercaba.
Example Ou... | Wszystko zaczęło się teraz, i zależy tylko od was.
| 3 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.6215466856956482,
1.0147922039031982,
-0.9217007160186768,
-0.3511974811553955,
0.007653682958334684,
-0.6182140111923218,
0.6006670594215393,
0.6009266376495361,
-0.7886092662811279,
0.0567341148853302,
-0.28166890144348145,
0.28991058468818665,
-0.33499038219451904,
0.1591330915689468... |
Given a sentence in Russian, generate a new Russian 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 b... | Мозг управляет телом.
| 7 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.5144912004470825,
0.49839192628860474,
0.03518180549144745,
-0.7289880514144897,
-0.3215503394603729,
-0.3645961284637451,
0.7938570976257324,
1.1201467514038086,
0.9180831909179688,
-0.9833009839057922,
-0.8210405111312866,
-0.45151039958000183,
-0.6957947611808777,
0.6183680295944214,
... |
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 passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Chronic rhinosinu... | beta1 integrins are crucial in post-MI remodelling with effects on LV function, hypertrophy and apoptosis. | 0 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.26158517599105835,
0.40098610520362854,
-0.3305402398109436,
-0.08137910068035126,
0.5972889065742493,
-0.34630686044692993,
0.29315853118896484,
0.5891206860542297,
-0.06653191149234772,
0.09739378094673157,
-0.353495717048645,
-0.18717411160469055,
-0.7894585132598877,
0.38127583265304... |
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 fill in ... | PersonX borrowed powdered sugar from PersonY to make icing because _ did not have any. | 4 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.3105835020542145,
1.0211181640625,
0.6202623844146729,
-0.10249113291501999,
0.24073970317840576,
-0.5820328593254089,
0.5195629596710205,
0.47897064685821533,
-0.37709349393844604,
-0.7270209789276123,
0.058165207505226135,
-0.27992865443229675,
-0.14182454347610474,
0.18066251277923584... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
question:
オリジナルな偉人の多くには素早く着手し仕上げに時間が掛かるという特徴があります
answer:
O que vemos en moitos dos grandes orixinais é que comezan rápido pero tardan en rematar.
question:
実際、教本のおかげでひどい事態は免れます
answer:
E preveñen os desas... | As viñetas relixiosas e políticas, como xa teredes oído, son unha parella complicada, dende aquel día de 2005, cando uns cantos debuxantes de Dinamarca fixeron unhas viñetas que tiveron repercusión mundial, manifestacións, fatwa. Provocaron violencia. Houbo xente que morreu por iso.
| 9 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
0.14218026399612427,
0.4036754369735718,
-0.020698420703411102,
-0.39744478464126587,
-0.21858058869838715,
-0.6603670716285706,
0.14548572897911072,
0.11224628984928131,
-0.26939865946769714,
-0.3441556394100189,
-0.3065626621246338,
0.4718361794948578,
-0.6935470104217529,
0.434800118207... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
One example ... | [65, 57, 29, 1] | 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.3069823682308197,
0.18588168919086456,
-0.48370230197906494,
-0.7795246839523315,
0.27887988090515137,
-0.3718845844268799,
0.9704225659370422,
0.07951052486896515,
-0.6984269022941589,
0.1713147610425949,
-0.7780177593231201,
0.25525182485580444,
-0.1852342039346695,
-0.845650076866149... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". 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., second enti... | no | 4 | NIv2 | task472_haspart_classification | zs_opt | [
-0.5567963719367981,
0.6737363934516907,
0.8814888000488281,
0.2479192018508911,
-0.17164847254753113,
-0.6146302223205566,
0.12368998676538467,
0.229760080575943,
0.410983681678772,
-0.8561934232711792,
-0.13894769549369812,
-0.21246306598186493,
-0.6713109016418457,
0.34075233340263367,
... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No | 6 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.2902292013168335,
0.02214765176177025,
-0.06219496577978134,
0.28696340322494507,
-0.18301524221897125,
-0.5362366437911987,
0.6413599252700806,
0.8272671699523926,
-0.28147614002227783,
0.14528360962867737,
-0.7095574140548706,
-0.1609073430299759,
0.10561392456293106,
-0.38673454523086... |
Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Input: Sentence: 'a young man wearing a pink shirt trying on several ties'. How many words end with the letter 'k' in the sentence.
Output: | 1 | 3 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.016123680397868156,
1.2339744567871094,
-0.28347355127334595,
-1.2157602310180664,
-0.9200867414474487,
0.0060328212566673756,
0.7834340333938599,
0.11341510713100433,
0.02275688946247101,
0.06801484525203705,
-0.5661254525184631,
0.07020367681980133,
-0.19276806712150574,
0.27255102992... |
TASK DEFINITION: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
PROBLEM: Question: Comparing the city in which ... | 3
| 8 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.5721955299377441,
0.7121975421905518,
-0.991841733455658,
0.39946889877319336,
0.9097974896430969,
0.2548173666000366,
1.4108145236968994,
0.8072347640991211,
-0.10838654637336731,
0.3031684458255768,
0.13878503441810608,
0.6634930372238159,
-0.7976707816123962,
-0.001713399775326252,
... |
Q: 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 word2.
gas c... | gas Antonym liquid | 7 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.590478241443634,
1.6140772104263306,
0.4741595983505249,
-0.9081463813781738,
-0.3583042621612549,
-1.709985375404358,
0.6567481756210327,
0.47476768493652344,
0.2401932030916214,
-0.2237788736820221,
-0.6132310628890991,
-0.0753418430685997,
-0.4789413511753082,
-0.28143030405044556,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Problem:これが同じサンゴ礁ですこちらが15年前の同じサンゴ礁でこれが現在の様子です
Solution: | Este é o mesmo arrecife. Este é o mesmo arrecife de hai 15 anos. Este é o mesmo arrecife hoxe. | 8 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.13540886342525482,
0.302196741104126,
-0.6552151441574097,
-0.5337294936180115,
-0.1290683150291443,
-1.0457617044448853,
0.683515727519989,
1.0345253944396973,
-0.501826286315918,
-0.7095035314559937,
0.18775956332683563,
0.7194157838821411,
-0.5954040884971619,
0.3619062900543213,
-0... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: તમે આ રીતે અમારી કામગીરીની પ્રશંસા કરી એ બદલ હું તમારો આભારી છું. મને એ જાણીને આનંદ પણ થયો છે કે તમે હૈદરાબાદમાં અગાઉ તાલીમ માટે થોડો... | আমি একথা জানাতে পেরে খুবই আনন্দিত যে, গত তিন বছরে বৃহৎ অর্থনীতিরমাপকাঠিতে ভারতের উন্নতি ঘটেছে উল্লেখযোগ্য মাত্রায়। | 2 | NIv2 | task1068_pib_translation_gujarati_bengali | zs_opt | [
-0.7252163290977478,
0.30547380447387695,
0.10913050174713135,
0.0492355078458786,
0.4090745449066162,
-1.0245566368103027,
0.7923945784568787,
-0.34986233711242676,
0.3984937071800232,
-0.39135637879371643,
-0.948077917098999,
-0.1627996265888214,
-0.46677452325820923,
0.7099307775497437,... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Ser atropellado no es algo fácil.
A: | Being run over is never easy. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.41813260316848755,
0.7414522171020508,
0.6148052215576172,
-1.1353918313980103,
-0.38220542669296265,
-0.7866906523704529,
0.4729212522506714,
0.7448590397834778,
0.2748611867427826,
-0.32675403356552124,
0.12960657477378845,
-0.06358113884925842,
-0.35157179832458496,
0.480526447296142... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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... | Animals | 0 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.021963894367218018,
0.8113901615142822,
0.03895100578665733,
-0.3338516354560852,
-0.16362053155899048,
-0.703761100769043,
0.11969522386789322,
0.7546199560165405,
-0.31844139099121094,
-0.5039248466491699,
-1.1052587032318115,
-0.11420343816280365,
-0.2502736449241638,
0.1122870147228... |
Q: 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 numerical elements in the given list. Return 0 if no numerical element in the list.
['f', '5575', '9987', 'f', '9675', '8639', 's', 'p', '7443', '8381', '1111', '1... | 15 | 7 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.18873761594295502,
0.28209900856018066,
-0.3788312077522278,
-0.1344929039478302,
-0.019857697188854218,
-0.4834885597229004,
0.335693359375,
0.29145994782447815,
-0.6224192380905151,
0.5070927739143372,
-0.6420383453369141,
0.8409894704818726,
-0.24923335015773773,
0.09847155958414078,... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns... | select the rows whose celebrity record fuzzily matches to paweł stasiak . take the average record of this row . select the rows whose celebrity record fuzzily matches to paolo cozza . take the average record of this row . the first record is greater than the second record . | 5 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.14901861548423767,
-0.09105818718671799,
-0.008645162917673588,
0.19058433175086975,
0.14913594722747803,
-0.20783838629722595,
0.2321709841489792,
0.2745824456214905,
0.12368683516979218,
-0.3814411759376526,
-0.6189349889755249,
-0.1332758516073227,
0.2710567116737366,
0.41252544522285... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example Input: tres lumes xuntos son moitas lapas.
Example Output: ３つ集まるとたくさんの炎になります
Example Input: É activo. Non se atopan realmente diferenzas.
Example Output: 活発です本当に違いは分かりません
Example Input: No mundo do audio ocorr... | 音響の世界ではマイクが音源に近づきすぎた時に、自己破壊的なループに陥ってかなり不快な音が出る時のこと。
| 3 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.5292171835899353,
0.4635196328163147,
-0.5336161255836487,
-0.2357630431652069,
-0.41302335262298584,
-1.1593008041381836,
0.9920504093170166,
0.40394729375839233,
-0.973310112953186,
-0.4738299250602722,
-0.48812007904052734,
0.4677877128124237,
-0.8508015275001526,
0.08252274990081787... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | Yes | 5 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.2609142065048218,
0.37116575241088867,
0.3795798420906067,
0.17111557722091675,
-0.6027842164039612,
-0.32744190096855164,
1.081810712814331,
0.5436916351318359,
-0.4877512454986572,
-0.4248507022857666,
-0.4958049952983856,
-0.13324129581451416,
-0.6165206432342529,
0.44792240858078003,... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | lawn and garden | 3 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.23800456523895264,
-0.15158438682556152,
-0.7849974632263184,
0.5174738764762878,
0.5696617960929871,
-0.07214531302452087,
0.3638995885848999,
0.8716073632240295,
-0.2725709080696106,
0.41840216517448425,
0.224681556224823,
0.3057209849357605,
-0.30058708786964417,
-0.25658249855041504... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Ex Input:
1, ['5371', '6183', '8049', 'I', '8429', 'd', '4473', '4067', 'p']
Ex Output:
5371
Ex In... | F, o, 2341, G, 8033, K, I, 827, i, K
| 1 | NIv2 | task063_first_i_elements | fs_opt | [
-0.18256382644176483,
0.3559498190879822,
-0.5699036121368408,
-0.5839858055114746,
-0.3656710386276245,
0.004006071947515011,
0.7255088090896606,
0.17979136109352112,
-0.21892023086547852,
-0.2676524221897125,
-1.3569612503051758,
-0.3118915259838104,
-0.09300388395786285,
-0.316972047090... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Ex Input:
Sentence1: Ava needed a plane ticket across the country. Sentence2: She feared it'd be expensive.... | Ella had to be taken to the doctor.
| 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.32652777433395386,
0.7323912382125854,
0.16533872485160828,
-1.0922021865844727,
-0.09776440262794495,
-0.3044928312301636,
0.5369422435760498,
0.6828855276107788,
0.04882907122373581,
-0.14428134262561798,
-0.41687753796577454,
0.24392975866794586,
-0.2109558880329132,
-0.3893302679061... |
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.
প্রধানমন্ত্রী মাতৃত্ব বন্দনা যোজনা এবং প্রধানমন্ত্রী সুরক্ষিত মাতৃত্ব অভিযান নিরাপদ গর্ভাবস্থার বিষয়টিতে জনআন্দলনে পরিণত করতে পেরেছি। | പ്രധാനമന്ത്രി വന്ദന് യോജനയും പ്രധാനമന്ത്രി സുരക്ഷാ മാതൃത്വ അഭിയാനും സുരക്ഷിത ഗര്ഭം എന്ന ആശയത്തെ ജനകീയമാക്കിയിട്ടണ്ട്. | 0 | NIv2 | task1003_pib_translation_bengali_malayalam | zs_opt | [
0.21785172820091248,
0.5255881547927856,
-0.26324662566185,
-0.24931499361991882,
-0.7166556715965271,
-0.7182854413986206,
-0.05324067175388336,
0.5028791427612305,
0.2762472331523895,
0.1666950136423111,
-0.5020689964294434,
-0.039690300822257996,
-0.626974880695343,
-0.4281609058380127,... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : I live in a highly walkable area. I have a 16 month old son... | no | 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.42646679282188416,
0.16971273720264435,
0.06999611109495163,
0.556344747543335,
0.2091262936592102,
-0.3997703790664673,
0.06600887328386307,
0.25584742426872253,
0.7608298063278198,
0.13911554217338562,
0.15575383603572845,
0.38263368606567383,
-0.8015527725219727,
-0.3838525414466858,... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Po... | 彼女は24年にわたりカナダ国立バレエ団の芸術監督でした。 | 7 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.07002748548984528,
0.9264588356018066,
-0.18968838453292847,
0.2608901858329773,
0.3460785150527954,
0.009770568460226059,
0.5891650319099426,
0.38933977484703064,
0.24234606325626373,
-0.5272558927536011,
-0.626101016998291,
0.3782646059989929,
-0.49941474199295044,
0.5019105672836304,... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Ted want(s) his dog to not be cold >Motivates> Ted brings in his dog for the night | 3 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.24863532185554504,
0.42290759086608887,
-0.505226194858551,
0.5767821073532104,
-0.6436655521392822,
-1.3043831586837769,
0.7169561386108398,
0.5057038068771362,
-0.5985594987869263,
-0.2668688893318176,
-0.7847213745117188,
0.19898051023483276,
-0.20789667963981628,
-0.2685036063194275,... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
من فضلك ارفع يدك إذا سبق وأن كنت مُضيفًا أو ضيفًا في موقع إير بي إن بي "" Airbnb "" لتأجير المنازل
A: | אנא הרימו את ידכם אם הייתם אי-פעם אורחים או מארחים ב-AirBnB. | 7 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.8488608002662659,
0.25130072236061096,
0.048307210206985474,
-0.5194013118743896,
0.1804494857788086,
-0.4037034809589386,
0.9459381699562073,
0.4456172585487366,
0.1066625565290451,
0.6439690589904785,
0.07298184186220169,
0.7273203134536743,
-1.3656623363494873,
-0.36712920665740967,
... |
Instructions: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the ... | [['r', '9'], ['r', '9'], ['9', '9']] | 3 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.33005720376968384,
0.5746797323226929,
-0.2244153916835785,
0.35629183053970337,
0.21348659694194794,
0.035015929490327835,
0.3363485336303711,
0.26726508140563965,
-0.09871730208396912,
-0.07225341349840164,
-0.4923393130302429,
-0.029782623052597046,
-0.5279821753501892,
0.16064538061... |
In this task, you need to provide the correct option for a given problem from the provided options.
Q: Problem: a number is said to be prime saturated if the product of all the different positive prime factors of a is less than the square root of a . what is the greatest two digit prime saturated integer ?
Options: a ... | d | 4 | NIv2 | task1421_mathqa_other | zs_opt | [
-0.41507235169410706,
0.4037919044494629,
-0.003073273692280054,
-0.5362173914909363,
-0.3523632287979126,
0.29238957166671753,
0.20406083762645721,
0.4611471891403198,
0.09227631241083145,
0.7122370004653931,
-0.4894997477531433,
0.0013953298330307007,
-0.40857836604118347,
-0.29576760530... |
Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Input: Which venue that hosted the event only once is held in a county that is named after the Ciarraige who lived in part of the present county ?
O... | Ballybunion | 3 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.7410014867782593,
1.4111552238464355,
-0.1979009211063385,
0.39937952160835266,
-0.24852271378040314,
-0.9517741203308105,
-0.14624574780464172,
0.22268351912498474,
-0.624452531337738,
-0.49490106105804443,
0.04492370784282684,
0.29416459798812866,
-1.005566120147705,
0.6025992035865784... |
Teacher:Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear ... | Negative | 6 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.48721998929977417,
0.08646703511476517,
-0.14951825141906738,
0.20468583703041077,
0.27879688143730164,
-0.3920219838619232,
0.35236257314682007,
0.8220678567886353,
-0.30086827278137207,
0.30020153522491455,
0.20970368385314941,
0.31536316871643066,
-0.25168466567993164,
-0.15908730030... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Q:... | joy
****
| 4 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.23091194033622742,
0.31142330169677734,
0.23643651604652405,
-0.4576486349105835,
-0.36456775665283203,
-0.3774554133415222,
0.6429246068000793,
1.2585279941558838,
-0.07061303406953812,
0.2167043387889862,
0.17618750035762787,
0.22558701038360596,
-0.23297418653964996,
0.13856771588325... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
[EX Q]: Igbo sentence: Hugh Farey, nchịkọta akụkọ nke British Society nke Turin Shroud Akwụkwọ Akụkọ, kwuru ọhụrụ ọmụmụ bụ na-akpali akpali ma dara mkpụmkpụ nke-njinaka zuru oke.
[EX A]: Hu... | gallese - Mari (Madang Province)
| 6 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.6117392778396606,
-0.10239510983228683,
-0.19475778937339783,
-1.0147576332092285,
0.8139100074768066,
-1.2782583236694336,
0.3071210980415344,
0.5987239480018616,
0.1375974416732788,
-0.44168734550476074,
-0.16878798604011536,
0.020810291171073914,
-0.379560649394989,
0.020485583692789... |
Detailed Instructions: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Problem:I ordered this cord to replace my cord that I had for 4 years. It stopped working after 2 months. The attachment between the power box and the plug melted after 2 weeks or so. After I replaced that ... | Negative Review | 8 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.10957300662994385,
0.6800305843353271,
-0.3022628724575043,
-0.7190209627151489,
0.11069802194833755,
-0.8054801821708679,
0.3468484878540039,
-0.08378896862268448,
-0.05723629146814346,
0.23031899333000183,
0.35750067234039307,
-0.6132051944732666,
0.06885337829589844,
0.394206643104553... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value... | t3915 | 5 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.7434720993041992,
0.6969583034515381,
-0.3874802589416504,
-0.33289873600006104,
-0.3049624264240265,
0.15443190932273865,
0.04772200807929039,
-0.39577198028564453,
-0.12958505749702454,
-0.1623232513666153,
-0.8139551877975464,
0.140138640999794,
0.128482386469841,
-0.1997060775756836... |
Teacher: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out with... | positive | 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.3590261936187744,
0.0208556167781353,
0.3388693928718567,
-0.29570698738098145,
0.20598825812339783,
-0.7951847314834595,
0.6137417554855347,
0.9552955627441406,
0.10400224477052689,
0.6367771625518799,
0.30444177985191345,
0.029017159715294838,
-0.3519074022769928,
-0.5892365574836731,... |
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.
who is the author of Tenacious D in The Pick of Destiny? | Kyle Gass, Liam Lynch, Jack Black | 0 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.6766554117202759,
1.196204423904419,
0.3496972322463989,
0.05044206231832504,
-0.4759215712547302,
0.29202836751937866,
0.9960785508155823,
-1.0137250423431396,
0.5504786372184753,
-0.21032032370567322,
-0.16756746172904968,
-0.12998589873313904,
-1.001180648803711,
-0.07804994285106659... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer... | B | 1 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
-0.24192214012145996,
0.13495975732803345,
-0.2186172902584076,
-0.08323736488819122,
0.2761191725730896,
-0.20878812670707703,
0.9710428714752197,
0.5921157598495483,
0.034757692366838455,
0.4079224467277527,
-0.5700812339782715,
-0.5468472838401794,
0.20197337865829468,
-0.01225461531430... |
Detailed Instructions: In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word... | starving | 9 | NIv2 | task277_stereoset_sentence_generation_stereotype | zs_opt | [
0.2723042666912079,
0.45658767223358154,
-0.4656989574432373,
-0.38856256008148193,
0.39567118883132935,
-0.6833022832870483,
0.953298807144165,
1.0989761352539062,
0.11093241721391678,
0.06400536000728607,
-0.10634031146764755,
0.34256982803344727,
-0.9561458826065063,
0.11194649338722229... |
Teacher:In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Teacher: Now, understand the problem? Solve this in... | People were impressed with the easy to use interface. | 6 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.3361362814903259,
0.4805654287338257,
-0.0005720092449337244,
0.005562547594308853,
-0.2556535005569458,
-0.28784364461898804,
0.08940130472183228,
0.5121155977249146,
0.10751421749591827,
0.38437312841415405,
-0.656083345413208,
-0.028808733448386192,
-0.22307465970516205,
0.4084238409... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
Problem:উপরোক্ত এই বিষয়গুলি সবই সম্ভব হয়েছে উভয় কক্ষে মাননীয় প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর নেতৃত্বে সংসদ বিষয়ক মন্ত্রকের ... | The above result could be achieved due to excellent floor coordination in both the Houses by Ministers in the Ministry of Parliamentary Affairs under the dynamic leadership of Hon'ble Prime Minister. | 8 | NIv2 | task995_pib_translation_bengali_english | zs_opt | [
-0.19435511529445648,
-0.025561146438121796,
0.1698235720396042,
-0.0008741251658648252,
-0.04558433219790459,
-0.5553007125854492,
0.2270013689994812,
-0.059394434094429016,
-0.1784837543964386,
0.07121345400810242,
-0.35546451807022095,
0.0181034654378891,
0.04705701023340225,
0.73340159... |
Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation... | పవర్ నిర్వహణా బ్యాక్ఎండ్ | 4 | NIv2 | task878_kde4_translation | zs_opt | [
-0.6453315615653992,
0.8883134126663208,
0.512102484703064,
0.23743538558483124,
0.3841305673122406,
-1.2729439735412598,
0.7062144875526428,
0.07362163066864014,
0.16854043304920197,
-0.34614595770835876,
-0.5417500138282776,
0.07178319990634918,
-0.7023338675498962,
0.457884281873703,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True... | True | 0 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.10028738528490067,
0.15293097496032715,
-0.5021204948425293,
0.29317373037338257,
0.34920382499694824,
0.03662065044045448,
0.8948255777359009,
0.7382134795188904,
-0.46709880232810974,
0.30122286081314087,
0.4935232698917389,
0.13413266837596893,
-0.338972806930542,
0.4367314279079437,... |
Given the task definition, example input & output, solve the new input case.
This task is about translating a given Spanish language sentence to English.
Example: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Output: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Thi... | And the cost of production goes down, all of a sudden you're able to produce and to sell more tomatoes. | 1 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.8520515561103821,
0.6826971769332886,
0.14864003658294678,
0.07245542109012604,
0.2553790211677551,
-0.3990553617477417,
-0.13054972887039185,
1.6984692811965942,
0.6886216402053833,
-0.6718460321426392,
-0.29728859663009644,
1.0712151527404785,
0.1769936978816986,
0.08557865023612976,
... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: Consider Input: I wish Governor Walker, could line item veto you, Meyer.
Output: No
Input: Consider Input: Eloquently stated Ranger Granger. Sounds like you never made it past third grade.
No wonder ... | Output: Yes
| 2 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
-0.2355320304632187,
0.4206831455230713,
-0.1648886352777481,
0.7587042450904846,
-0.44862449169158936,
-0.47804442048072815,
0.43027225136756897,
0.6325609087944031,
0.02612900733947754,
-0.17664797604084015,
0.04057808220386505,
-0.05549764633178711,
-0.24005922675132751,
-0.431488394737... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
--------
Question: Family tends to stick.'
Answer: Present
Question: " I... | Past
| 7 | NIv2 | task429_senteval_tense | fs_opt | [
-0.7471590042114258,
0.519221842288971,
0.27441877126693726,
0.14378216862678528,
-0.011174216866493225,
-0.2955765128135681,
1.300189733505249,
1.0051913261413574,
0.12371210753917694,
-0.3532949984073639,
-0.8178869485855103,
-0.0887100026011467,
-0.9877283573150635,
-0.2903176248073578,... |
Teacher:Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Teacher: Now, understand the problem? Solve this instance: inexpedient
Student: | expedient | 6 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.03370228037238121,
1.5139739513397217,
0.9090104103088379,
-0.6188654899597168,
-0.3599116802215576,
-1.2163811922073364,
-0.14341288805007935,
0.3874257206916809,
0.45122212171554565,
-0.6549474000930786,
-0.7625329494476318,
-0.3487474322319031,
-1.5567874908447266,
-0.5003926157951355... |
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 .
Ex Input:
Statement: आयमारा ही दक्षिण अमेरिकेच्या आन्देस भागात वापरली जाणारी एक भाषा आहे. क्वेचुआ व स्पॅनिशसोबत आ... | जर्मनी
| 1 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.4970738887786865,
0.45486605167388916,
-0.4781808853149414,
0.21874380111694336,
-0.4784731864929199,
-0.4912700057029724,
0.6244882941246033,
0.8558759689331055,
0.007126763463020325,
-0.13351625204086304,
-0.7091959118843079,
0.011234768666327,
-0.3904443085193634,
-0.4857730567455292,... |
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: ભારતે છેલ્લા 4 વર્ષથી પણ ઓછા સમયમાં જે સફળતા હાંસલ કરી છે તેના કારણે 1.
Output: | சியோல் அமைதிப் பரிசு கலாச்சார அறக்கட்டளையின் பிற உறுப்பினர்களே | 3 | NIv2 | task1063_pib_translation_gujarati_tamil | zs_opt | [
0.07044581323862076,
1.841604471206665,
0.20866098999977112,
-0.06533907353878021,
-0.1401418149471283,
-0.336641788482666,
-0.283133864402771,
0.14060895144939423,
-0.3929683268070221,
0.4115656614303589,
-0.8661933541297913,
0.1946248710155487,
-0.3063163161277771,
-0.02971700206398964,
... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Sodium element is responsible for one-half of the osmotic pressure gradient that exists between the interior of cells and their surrounding environment. | What element is responsible for one-half of the osmotic pressure gradient that exists between the interior of cells and their surrounding environment? | 0 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.27934908866882324,
0.6147009134292603,
-0.8161755800247192,
-1.411194920539856,
0.2680140733718872,
-1.4666721820831299,
-0.24191850423812866,
0.5440928936004639,
-0.08803636580705643,
0.21757525205612183,
0.0002445814898237586,
0.5831628441810608,
-0.9630497694015503,
-0.881551742553710... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Q: Dis: "" Claro, hoxe non podo escribir porque vou dar unha charla en TED e teño cinco entrevistas e logo vou a unha festa e voume emborrachar.
A: | You say, "" Well, of course I can't write today, because I'm giving a TEDTalk and I have five media interviews, and then I'm going to a cocktail party and then I'll be drunk after that. | 9 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
0.1158822700381279,
1.3144900798797607,
0.7438392639160156,
-0.8903611302375793,
-0.0925455242395401,
-0.7406471967697144,
-0.7539294958114624,
0.9965436458587646,
-0.07986648380756378,
-0.08714146912097931,
0.43714895844459534,
0.19017595052719116,
-0.7752548456192017,
-0.0738978162407875... |
Instructions: In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Input: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Iran Freedom Support Act''.
SEC. 2. TABLE OF CONTENTS.
Sec. 1. Short title.
Sec. 2. Table of contents.
... | Iran Freedom Support Act - States that: (1) U.S. sanctions, controls, and regulations relating to weapons of mass destruction with respect to Iran shall remain in effect until the President certifies to the appropriate congressional committees that Iran has permanently and verifiably dismantled its weapons of mass dest... | 3 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.6779912710189819,
0.6746708154678345,
-0.2842736840248108,
-0.4507790207862854,
0.9094089269638062,
-0.3215291500091553,
1.1314432621002197,
1.1577887535095215,
-0.08781060576438904,
0.46052443981170654,
-0.5025531053543091,
0.43554598093032837,
-0.4620978832244873,
0.20700228214263916,
... |
Detailed Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
See one example below:
Problem: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he re... | A resident at a "luxury riverside care home" physically and sexually assaulted other residents and staff 24 times, according to an inspection report. | 4 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.3541136384010315,
0.5273492932319641,
-0.4552289843559265,
-0.1344875991344452,
0.18835869431495667,
-0.07726103067398071,
0.5918223857879639,
1.11912202835083,
-0.29318392276763916,
0.2388649880886078,
0.07788075506687164,
0.6993101239204407,
-0.3283604681491852,
-0.00757613917812705,
... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
[EX Q]: Sentence 1: Glue-sniffing an... | 1
| 6 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-1.3001338243484497,
0.9513776302337646,
-0.24033576250076294,
-0.7755457162857056,
-0.09716764837503433,
0.0291814636439085,
-0.2286362648010254,
0.8124244213104248,
0.6657975912094116,
-0.019702624529600143,
-0.39876264333724976,
0.5355628728866577,
-0.30261945724487305,
0.05276173353195... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[Q]: DpzRxgwECtX, ksxgwEzQh
[A]: c, d, e, g, p, r, t, w, x, z
[Q]: VEEkTiSQM, VcEkTXvT
[A]: e, i, k, m, q, s, t, v
[Q]: Cipl... | a, b, c, d, f, h, i, k, m, n, q, r, t, u, v, y, z
| 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
0.061381347477436066,
1.1220545768737793,
0.001128512667492032,
-0.7704584002494812,
-0.04059845209121704,
0.046465449035167694,
1.210050106048584,
-0.3516404926776886,
-0.2771274149417877,
0.06293028593063354,
-0.4144713282585144,
-0.572809100151062,
-0.022716835141181946,
-0.240218505263... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example input: Person1: Are you ready to order , sir ?
Person2: ... | 0 | 3 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.44712311029434204,
-0.3507276475429535,
0.33157169818878174,
-0.19114384055137634,
0.2998448610305786,
0.12407561391592026,
0.30889180302619934,
0.1806626319885254,
-0.04764974117279053,
-0.015750031918287277,
0.14677225053310394,
-0.7353777885437012,
-0.2808225154876709,
0.059905342757... |
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 determ... | Yes
| 3 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.10787910968065262,
0.2638937532901764,
0.2533242702484131,
-0.07784219086170197,
-0.6118160486221313,
-0.6017207503318787,
0.9652706384658813,
0.6582134962081909,
-0.5650254487991333,
-0.5170995593070984,
-0.6274272799491882,
-0.15204593539237976,
-0.549333930015564,
0.16252976655960083,... |
Part 1. Definition
In this task you are given a disfluent question, a proper question and a context. A disfluent question is a question that has some interruptions in it while framing and a proper question is the correct form of the question without any disfluency. Classify whether the question is answerable or not bas... | No | 7 | NIv2 | task1624_disfl_qa_question_yesno_classification | fs_opt | [
1.2167903184890747,
-0.07301540672779083,
-0.49942076206207275,
1.0406455993652344,
0.7217766046524048,
-0.4537423253059387,
1.1816813945770264,
0.8748295903205872,
-0.4960733652114868,
0.040029093623161316,
-0.8386141657829285,
0.4556327164173126,
-0.5696982741355896,
-0.10600879788398743... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: コロラド大学の広報担当者は、抜粋は脅迫内容と「一致している」と述べたが、実際の抜粋かどうか確認することは拒否した。
A: | Seorang juru bicara Universitas Colorado mengatakan bahwa kutipan-kutipan tersebut "konsisten" dengan ancaman-ancaman namun menolak untuk mengkonfirmasi jika itu adalah kutipan-kutipan yang sesungguhnya. | 9 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.23924797773361206,
0.4799167811870575,
-0.0785847008228302,
-1.1615946292877197,
-0.32927533984184265,
-1.258760929107666,
-0.02818065881729126,
-0.4078170955181122,
-0.5719462037086487,
-0.019434720277786255,
-0.18951764702796936,
-0.04577382653951645,
-1.1957120895385742,
0.2766037583... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using... | The woman in white sorts nuts for the customer. | 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.6818315386772156,
0.5287244319915771,
-0.010236730799078941,
-0.48420608043670654,
0.25772395730018616,
0.06396261602640152,
-0.6162136793136597,
0.7229511737823486,
0.7082774639129639,
0.18411041796207428,
-0.6232954263687134,
-0.6858775019645691,
-0.08511519432067871,
-0.1704552918672... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Solution: Zatim ozračuju našu hranu, kako bi dulje izdržala, kako bi mogla putovati tisućama milja od mjesta gdje je uzgojena do supermarketa, Stoga se pitam, kako se mogu promijeniti? | 5 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.41684776544570923,
0.5020802021026611,
-0.22429949045181274,
0.7029704451560974,
-0.05865178257226944,
-0.9440255165100098,
0.71317458152771,
0.1261734962463379,
-0.4707077145576477,
-0.2274017632007599,
-0.18278168141841888,
0.39515766501426697,
-0.4516142010688782,
0.1928565353155136,... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Ho sempre pensato, “Cambi il tuo modo di pensare, e di conseguenza cambi il tuo comportamento ” ma spesso è vero il contrario.
Output: | من همیشه فکر می کردم که شما اول فکرتان را باید عوض کنید تا رفتارتان هم عوض بشود ولی فهمیدم که خیلی وقتها این برعکس است. | 3 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.23695945739746094,
0.557226836681366,
-0.2790259122848511,
0.1596125066280365,
-0.3806053102016449,
-0.9001326560974121,
0.5134261250495911,
0.7865179181098938,
0.2756742835044861,
0.21385252475738525,
-0.5486173033714294,
-0.1862756907939911,
-1.0780858993530273,
0.2162826955318451,
... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be inst... | John: B-PER, Vandaele: I-PER | 5 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.6045860648155212,
0.6314364671707153,
0.04146556183695793,
0.034815821796655655,
-0.4972341060638428,
-0.1436305195093155,
1.5045605897903442,
0.04260697960853577,
0.09885157644748688,
-0.6730456948280334,
-0.5017125606536865,
0.4860308766365051,
-0.18325912952423096,
-0.063372269272804... |
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 that the selected choi... | ac | 3 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.08915361762046814,
0.13139154016971588,
-0.5638052225112915,
0.43779611587524414,
0.045650843530893326,
0.0229959599673748,
0.4856204092502594,
0.950471043586731,
-0.18304511904716492,
0.6976597905158997,
-0.6743718385696411,
-0.0031580720096826553,
-0.13927432894706726,
-0.179117858409... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The alarm had went off during Tucker’s sleep but he did not wake up because the _ was deep.
| 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.649350106716156,
0.1891084611415863,
0.08956024050712585,
-0.006780124269425869,
0.5337162613868713,
-0.44823551177978516,
0.7812674641609192,
1.1951878070831299,
-0.5738431215286255,
-0.19677849113941193,
-0.4158150851726532,
0.07673489302396774,
-0.6032759547233582,
-0.0069517018273472... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example solution: The mailbox was bent and broken and looked like someone had knocked it ... | Solution: Bill Clinton defeats George H. W. Bush in national elections and becomes president-elect of the United States . | 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.10379837453365326,
0.934111475944519,
0.07374095916748047,
-0.05720367282629013,
0.3059069514274597,
-0.9494307637214661,
0.29456567764282227,
0.7575525045394897,
-0.039127763360738754,
-0.40683165192604065,
-0.2918812036514282,
-0.046525225043296814,
-1.1039178371429443,
-0.12133505940... |
TASK DEFINITION: You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
PROBLEM: Sara had 4 quarters and 8 dimes in her bank . Her sister borrowed... | 452
| 8 | NIv2 | task865_mawps_addsub_question_answering | fs_opt | [
0.3542710542678833,
0.6713931560516357,
-0.37980917096138,
-0.21771855652332306,
-0.4098440110683441,
-0.024373283609747887,
0.767102062702179,
0.3043268024921417,
0.09325370192527771,
-0.04580383747816086,
0.2679036259651184,
0.7408323287963867,
-0.12783829867839813,
-0.16075018048286438,... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Input: Consider Input: Question: Does expression of the pair-rule gene hom... | Output: yes
| 2 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.49387800693511963,
0.3292972445487976,
-0.2189374566078186,
0.2871240973472595,
-0.11779575049877167,
-0.4105031490325928,
0.7885075807571411,
0.6381075382232666,
0.6782193779945374,
-0.32854533195495605,
-0.5636746883392334,
0.42922013998031616,
-0.7649099826812744,
0.21595601737499237... |
Part 1. Definition
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.
Part 2. Example
آب و هوای مناسب برای رشد گندم شرایط ایدهآل برای رشد گندم ، آب و هوای خنک در دوره رش... | چرا آب هویج سفت میشود؟ | 7 | NIv2 | task468_parsinlu_rc_question_generation | fs_opt | [
0.37284865975379944,
1.0523415803909302,
-0.6794496774673462,
-0.14235782623291016,
-0.4482531249523163,
-0.6398161053657532,
0.15804073214530945,
1.315042495727539,
-0.20539863407611847,
-0.08315279334783554,
-0.9530894160270691,
-0.007220179308205843,
-0.8909268379211426,
0.1901869028806... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: ভারতের গ্যাস কর্তৃপক্ষের উদ্যোগে রাঁচি শহর গ্যাস বিতরন প্রকল্প
A: | గేల్ కు చెందిన రాంచీ సిటీ గ్యాస్ పంపిణీ పథకం; | 4 | NIv2 | task1031_pib_translation_bengali_telugu | zs_opt | [
-0.44343435764312744,
1.3694655895233154,
0.9686086177825928,
0.10449159890413284,
-0.47157835960388184,
-0.5955487489700317,
1.0909504890441895,
0.602607786655426,
-0.11115016043186188,
0.060287054628133774,
-0.9521456956863403,
0.0682120993733406,
-0.2644311189651489,
0.3640217185020447,... |
Detailed Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection o... | and { only { filter_eq { all_rows ; wins ; 10 } } ; eq { hop { filter_eq { all_rows ; wins ; 10 } ; club } ; deportivo alavés } } | 8 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.3135021924972534,
-0.1109294593334198,
-0.7267674207687378,
0.4980933964252472,
0.13059157133102417,
-0.621174693107605,
0.6456795930862427,
0.4650917947292328,
0.20958906412124634,
-0.2790772318840027,
-0.21946315467357635,
-0.07065995037555695,
-0.22885599732398987,
0.6146835088729858,... |
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".
Example Input: He chose to fill out the form with a pencil rather than a pen because the _ was dry. (A) pen (B) pencil
Example Output: A
Example Input: ... | A
| 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.5687938928604126,
0.9595191478729248,
0.3069184422492981,
-0.4669112265110016,
-0.10212394595146179,
-1.1249146461486816,
0.833437442779541,
0.7707377076148987,
-0.11826513707637787,
0.07163345068693161,
0.33987462520599365,
0.29570886492729187,
0.08950761705636978,
-0.2560320496559143,... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਦੀ ਪ੍ਰਧਾਨਗੀ ਹੇਠ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਸੈਰ-ਸਪਾਟਾ ਦੇ ਖੇਤਰ ਵਿੱਚ ਸਹਿਯੋਗ ਵਧਾਉਣ ਲਈ ਭਾਰਤ ਅਤੇ ਬੁਲਗਾਰੀਆ ਦਰਮਿਆਨ ਸਹਿਮਤੀ ਪੱਤਰ 'ਤੇ ਹਸਥਾਖ਼ਰਾਂ ਨੂੰ ਮਨਜ਼ੂ... | ভারতে ব্যবসা করার একটি লাভ হল আমাদের দেশে কোন কিছুর উৎপাদন মূল্য অনেক কম।
****
| 4 | NIv2 | task1026_pib_translation_punjabi_bengali | fs_opt | [
-0.3481738567352295,
0.39999914169311523,
-0.2925521433353424,
0.07312797009944916,
0.22199708223342896,
0.411504864692688,
0.23362356424331665,
0.49405109882354736,
-0.2836979031562805,
0.15438544750213623,
-0.3565232753753662,
-0.16005420684814453,
0.6999043226242065,
0.26494288444519043... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: Bo od tego jest rodzina.
A: | هذا ما تفعله الأسرة. | 4 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.7192670106887817,
1.0605080127716064,
0.2549389898777008,
-0.7887516021728516,
0.056513167917728424,
0.07466010749340057,
1.3873541355133057,
-0.035734593868255615,
0.6766624450683594,
-0.5566015839576721,
-0.41447317600250244,
0.31136244535446167,
-0.8047213554382324,
0.299701333045959... |
Detailed Instructions: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Problem:Emirates Airline president Sir Tim Clark . REUTERS/Satish Kumar
Emirates Airline president Sir Tim Clark beli... | Tim Clark | 8 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.7938106060028076,
0.35909613966941833,
-0.41551682353019714,
-0.5614333152770996,
0.208634153008461,
0.38795042037963867,
0.20203326642513275,
0.6212693452835083,
-0.22233697772026062,
0.7351781725883484,
-0.3594774305820465,
0.6718227863311768,
-0.8474140763282776,
-0.15861225128173828... |
You will be given a definition of a task first, then some input of the task.
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Topic: Animal testing
Argument: Tested animals are treated humanely.
Outpu... | in favor | 1 | NIv2 | task209_stancedetection_classification | zs_opt | [
-0.3205190896987915,
-0.24461528658866882,
0.15629246830940247,
0.261640727519989,
0.11639969050884247,
-0.44427087903022766,
0.16222433745861053,
0.2728223204612732,
0.23405906558036804,
0.3783935308456421,
-0.4049072861671448,
-0.21304872632026672,
-0.016759075224399567,
0.07159131020307... |
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".
Q: Hunter rejected the application from Jeffrey due to lack of experience, but _ asked him to try next year. (A) Hunter (B) Jeffrey
A: | A | 4 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.3562800884246826,
0.4308289587497711,
0.09563508629798889,
-0.4664522409439087,
0.0691642165184021,
-0.7347159385681152,
0.9124879240989685,
0.18713417649269104,
0.5443416833877563,
-0.21323463320732117,
0.09881118685007095,
0.30526596307754517,
-0.11314317584037781,
-0.3649560213088989... |
Teacher:In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Teacher: Now, understand the problem? Solve this instance: 3753 + 2530 ... | -8141 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.0022010861430317163,
-0.0785602480173111,
-0.9014087915420532,
0.1537172496318817,
-0.5025683641433716,
0.15120747685432434,
1.093492031097412,
1.0678167343139648,
-0.27453017234802246,
-0.7796491384506226,
-0.6736383438110352,
-0.31846076250076294,
-0.5734074115753174,
-0.3011187314987... |
Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: How did the weapons became safer?, Context: Rocket-propelled grenades can be—and often are—used against hovering helicopters (e.g., by Somali militiamen during the Battle of Mog... | deflect pressure away from the shooter | 3 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.2378135472536087,
0.903640866279602,
-0.1924801766872406,
-0.5291348695755005,
0.01737273670732975,
-0.6429198384284973,
1.1077616214752197,
0.6378787159919739,
0.9466195106506348,
0.16945984959602356,
-0.9342440366744995,
0.24381598830223083,
-0.7816338539123535,
-0.46371787786483765,
... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | C
| 7 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.6782118082046509,
0.08653189241886139,
-0.20767903327941895,
-0.3056575059890747,
0.4158035218715668,
-0.5871159434318542,
0.2648284137248993,
0.16199716925621033,
-0.024766668677330017,
0.022967539727687836,
-0.005866724997758865,
-0.29155775904655457,
0.27561599016189575,
0.12246704101... |
Definition: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Input: System Reference: where would you like it to be near to?
Origin... | 0 | 2 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.31088942289352417,
0.7271221876144409,
-0.46980708837509155,
0.12419455498456955,
-0.24745815992355347,
-0.6910805702209473,
0.8250161409378052,
0.26950323581695557,
0.22371819615364075,
0.01951425150036812,
-0.8713322877883911,
0.13051731884479523,
-0.6629471182823181,
-0.3118606209754... |
Q: 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 ... | customer: No problem, thank you. | 7 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.5080236196517944,
0.386764794588089,
-0.40975335240364075,
-1.0189179182052612,
0.207164466381073,
-0.11838634312152863,
1.380503535270691,
-0.4368925094604492,
0.06968986988067627,
-0.46635901927948,
0.3808002471923828,
-0.7827959060668945,
-0.9320200681686401,
0.4870084524154663,
-0... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: فرموں کے احاطے کے اندر: سی ای ایف ایم او ڈبلیو نے 5 ہزار سواری ڈبوں کے لیے ٹینڈر طلب کئے ہیں ... | फर्म के परिसरों में : कोफमों ने 5,000 सवारी डिब्बों के लिए निविदाएं आमंत्रित की हैं, निविदा जुलाई 2017 में खोली जाएंगी, कार्य की संभावित शुरुआत नवम्बर 2017 | 6 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.47329583764076233,
0.3792010545730591,
-0.6365355253219604,
0.3264669179916382,
-0.48676589131355286,
-0.39172935485839844,
-0.26817601919174194,
0.23835021257400513,
-0.1660604476928711,
-0.8335339426994324,
0.23142291605472565,
-0.16511455178260803,
0.5236088633537292,
0.1809595525264... |
instruction:
Given a scientific question, generate a correct answer to it.
question:
Tissues are organized by what?
answer:
cells
question:
During the embryonic stage of vertebrates, the notochord develops into what?
answer:
backbone
question:
A d. melanogaster population has an average heterozygosity of what?
ans... | 14%
| 9 | NIv2 | task591_sciq_answer_generation | fs_opt | [
1.1889063119888306,
0.2252226173877716,
-0.5830137729644775,
0.05701121687889099,
-0.5047646760940552,
-0.2087266445159912,
0.6362801790237427,
-0.3991363048553467,
0.08280665427446365,
-0.0697534903883934,
-0.5296158790588379,
-0.22627389430999756,
-0.9315734505653381,
0.14570891857147217... |
Teacher:In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: ... | yes | 6 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.7061420679092407,
0.28097301721572876,
0.1536252200603485,
0.4478399455547333,
0.3305223882198334,
-0.951378345489502,
0.27261894941329956,
0.3598174750804901,
-0.4238737225532532,
0.3889418840408325,
0.0071716709062457085,
-0.39525672793388367,
-0.18534217774868011,
-0.5632045269012451... |
Teacher: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Teacher: Now, understand the problem? If you are still confused, s... | Past | 2 | NIv2 | task429_senteval_tense | fs_opt | [
-0.4430353045463562,
0.5691576600074768,
0.10144999623298645,
-0.08046761155128479,
-0.023794006556272507,
-0.015957718715071678,
0.568061113357544,
0.6969364881515503,
0.16549012064933777,
0.07435482740402222,
-0.3864867687225342,
-0.23896147310733795,
-0.4159180521965027,
-0.568267822265... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and contex... | Así, los restantes disidentes –China, Egipto, la India, Indonesia, el Irán, Israel, Corea del Norte y el Pakistán– se verán obligados a considerar la posibilidad de hacer también ellos lo propio, con lo que nos acercaríamos más a una prohibición mundial de los ensayos nucleares en cualquier medio: en la atmósfera, bajo... | 1 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.49225783348083496,
0.5753169059753418,
-0.3247321546077728,
0.03923199325799942,
0.24926868081092834,
-0.2362302541732788,
0.10653205215930939,
0.43035998940467834,
-0.04976813867688179,
0.0190877802670002,
-0.18174788355827332,
-0.25389522314071655,
-0.20624320209026337,
-0.16852314770... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.8923200368881226,
0.9014421105384827,
0.44628316164016724,
-0.16954517364501953,
-0.12522433698177338,
-0.6040740013122559,
0.13648183643817902,
1.0592362880706787,
0.3441784083843231,
-0.20109473168849945,
-0.8524587750434875,
-0.15608061850070953,
-1.0390846729278564,
-0.0212018284946... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Input: Consider Input: Sentence 1: The church had a reputation for having great music. Sentence 2: ... | Output: b
| 2 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.43019548058509827,
0.5758833289146423,
-0.4258434474468231,
0.27846500277519226,
0.18011394143104553,
-0.784027099609375,
0.0015157628804445267,
1.1992013454437256,
0.3479462265968323,
-0.00630505895242095,
-0.3290841579437256,
-0.21326647698879242,
-0.26591622829437256,
-0.3368830680847... |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Part 2. Example
父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Answer: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explanation: The Japanese se... | Ma se vi siete diplomati, posso dare quasi per certo che avete già ricevuto queste informazioni. | 7 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.04035954549908638,
0.3784458041191101,
-0.45039302110671997,
-0.6981565356254578,
0.024983027949929237,
-0.7284682989120483,
0.777517557144165,
0.8979327082633972,
0.5248610973358154,
-0.3846876621246338,
-0.7608890533447266,
0.49013715982437134,
-0.7125377655029297,
0.05626518279314041,... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
20852 | No | 0 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.3819011449813843,
0.567847490310669,
0.17676691710948944,
-0.16263704001903534,
-0.40933758020401,
-0.29229825735092163,
0.5976513624191284,
0.8432197570800781,
-0.1556212455034256,
0.07450873404741287,
-1.2149049043655396,
-0.2558659017086029,
-0.44481778144836426,
-0.45295578241348267... |
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