inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: دوست دارم به یوهانس کریستیانسون اشاره کنم ، گزارشگری ایسلندی که ما او را دعوت کردیم ، به عنوان تنهاترین مرد دردنیا.
A: | Quero referir Johannes Kristjansson, o repórter islandês que convidámos a participar no projeto, como o homem mais solitário do mundo. | 9 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.3455846607685089,
0.7536850571632385,
-0.04657570272684097,
-0.13595539331436157,
-0.24842926859855652,
-0.31449535489082336,
0.15348321199417114,
-0.17177966237068176,
0.5233097076416016,
0.2908531129360199,
-0.6730725765228271,
0.9242337942123413,
-0.45363736152648926,
0.6805249452590... |
instruction:
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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 h... | No
| 9 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.14544101059436798,
0.4797852635383606,
0.6720337271690369,
-0.12911611795425415,
-0.3026543855667114,
-0.7387925386428833,
0.299014687538147,
0.6135640740394592,
-0.10387428104877472,
-0.35295769572257996,
-0.8523108959197998,
-0.5331997871398926,
-0.44752413034439087,
0.1474573016166687... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap... | 6:52 AM. | 8 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.737411379814148,
0.22400130331516266,
-0.7290766835212708,
0.05995429307222366,
-0.09099666029214859,
-0.40847399830818176,
0.041677433997392654,
0.8542003631591797,
0.911775529384613,
0.5634356737136841,
-0.781484842300415,
0.7698733806610107,
-0.41568639874458313,
-0.49627017974853516,... |
Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Example input: I hate women. All of them are useless.
Example output: hate
Example explanation: Gender discrimination is shown in this comment. Hence, it is classified as hate speech.
Q: I won’t let your Allah fu... | hate | 3 | NIv2 | task1604_ethos_text_classification | fs_opt | [
-0.48579519987106323,
1.0178004503250122,
-0.48161929845809937,
0.6096211671829224,
-0.7422745227813721,
-0.8715742230415344,
1.0332164764404297,
0.6764770746231079,
0.7858749628067017,
0.5823142528533936,
-0.17512039840221405,
0.49172794818878174,
-0.4714769124984741,
-0.3291109502315521,... |
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.
Q: taking care of some admin stuff
A: | negative | 4 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.5092859268188477,
0.30058926343917847,
1.0837321281433105,
0.37374693155288696,
0.46949341893196106,
-1.3463959693908691,
-0.5612136721611023,
0.7977797985076904,
0.49249404668807983,
0.9313513040542603,
-0.4901002049446106,
-0.5799461007118225,
-0.30265697836875916,
-0.4072210192680359... |
Detailed Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Me... | Mean of transportation | 8 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
0.1782047152519226,
0.25462478399276733,
0.20055586099624634,
-0.331778347492218,
-0.04783478379249573,
-0.2779895067214966,
-0.04008839651942253,
0.5613166689872742,
-0.2839744985103607,
-0.6806951761245728,
0.014874938875436783,
0.1306997835636139,
-0.6991682648658752,
-0.220277875661849... |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: TV GOES TO WORK
Clue: It's the literary cafe where Joe Farrell, A... | buy the book | 2 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.5753759145736694,
0.8514509201049805,
-0.3379034101963043,
-0.1866137981414795,
0.3589465022087097,
0.68992680311203,
0.7013276815414429,
-0.08839888870716095,
0.5205284357070923,
-0.24562448263168335,
-0.3633020520210266,
-0.2640954256057739,
-0.4203474223613739,
0.06699693202972412,
... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 ... | I had been giving this homeless man change everyday. | 0 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.21765589714050293,
1.0908665657043457,
-0.07416827231645584,
-0.39465948939323425,
-0.5396705865859985,
-0.13734053075313568,
1.0067572593688965,
0.5155100226402283,
-0.09447799623012543,
-0.25997912883758545,
-0.4563307762145996,
0.029484473168849945,
-0.45539844036102295,
-0.093979798... |
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 Arabic. Your job is to translate the Arabic sentence into English.
(تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Solution: (Applause) However there is a political battle in... | Chimpanzees don't have slaughterhouses and prisons and concentration camps. | 0 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.08070705085992813,
0.6653150320053101,
0.3477473855018616,
-0.6014536619186401,
-0.4098202884197235,
0.11501570791006088,
1.0550551414489746,
-0.2413238286972046,
0.3203955292701721,
-0.1725361943244934,
-0.5301170349121094,
-0.10869652032852173,
-0.722419261932373,
-0.04270575940608978... |
Given the task definition and input, reply with output. In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
pas tellement aimé . personnelleme... | NEG | 5 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.47528719902038574,
1.0661358833312988,
0.08449423313140869,
-0.04660236835479736,
0.27272748947143555,
0.41778045892715454,
0.8627264499664307,
0.03575573489069939,
0.2307419329881668,
0.6331236958503723,
-0.6429324150085449,
-0.6275159120559692,
-0.35770055651664734,
-0.253416746854782... |
instruction:
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 .
question:
Statement: <MASK>ના ગુજરાત રાજ્યના ભાવનગર જિલ્લાના પાલીતાણા તાલુકામાં આવેલું એક ગામ છે. આ... | ભારત
| 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.2984171211719513,
0.7004976272583008,
0.5785118341445923,
-0.15963506698608398,
0.03495185449719429,
-0.6366946697235107,
0.1417463719844818,
1.2012598514556885,
-0.7094122767448425,
0.04225814342498779,
-0.4652039706707001,
0.4890105724334717,
-0.41066497564315796,
-0.4818582534790039,
... |
In this task, you are given a question in Persian, and your task is to translate it into English.
آیا کلینتون توسط بنیاد کلینتون حقوق می گیرند؟ | Were the Clintons paid by the Clinton Foundation? | 0 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-1.1554924249649048,
0.6031012535095215,
-0.16341397166252136,
0.4465852975845337,
-0.472792387008667,
-0.7199833393096924,
0.6160018444061279,
0.3450866937637329,
0.5223473906517029,
0.1744213104248047,
0.8244010210037231,
-0.007233545184135437,
-0.7235839366912842,
0.9557009339332581,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A child is wearing paint on their face, and making a face. | 8 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.5114127993583679,
0.8066163063049316,
0.7452174425125122,
-0.6315865516662598,
0.002692951587960124,
-0.44165346026420593,
-0.5784950256347656,
0.8405002355575562,
0.0600888654589653,
-0.019969375804066658,
-0.1277775764465332,
0.02365323156118393,
-0.6597259044647217,
-0.13684400916099... |
Given the task definition and input, reply with output. 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.
Questio... | 1 | 5 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.24207474291324615,
0.31064939498901367,
-1.0451247692108154,
0.40443354845046997,
0.8125230669975281,
-0.5603508949279785,
0.9411572217941284,
0.755601167678833,
-0.17005591094493866,
0.20824487507343292,
-0.02400575950741768,
1.0530481338500977,
-1.2285361289978027,
-0.18579089641571045... |
Given the task definition and input, reply with output. You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ಮಂದಗಾಮಿ ಸಮೂಹವಾದ ಅಖಿಲ ಭಾರತೀಯ ಗೂರ್ಖಾ ಲೀಗ್ (ಎಬಿಜಿ... | ಡಾರ್ಜಿಲಿಂಗ್ | 5 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.5583838224411011,
0.04887548089027405,
-0.3774240016937256,
-0.6156926155090332,
0.08005256950855255,
-0.6155098080635071,
0.10919252038002014,
0.14940346777439117,
-0.5924139022827148,
0.14596983790397644,
-0.3046816289424896,
0.17085000872612,
-0.3883100748062134,
0.08704699575901031,
... |
Part 1. Definition
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) an... | Audi: B-ORG | 7 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.09826698899269104,
0.2516549229621887,
0.14337167143821716,
0.11687252670526505,
-0.1885933130979538,
-0.46050551533699036,
0.8806499242782593,
0.29669490456581116,
0.7544862627983093,
-0.27960383892059326,
-0.7809298038482666,
0.32305100560188293,
0.11980462074279785,
0.218432620167732... |
Detailed Instructions: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang la... | 潘基文事務総長の国連報道担当官であるマーティン・ネシルキーによると、IED砲が4車両の護衛艦に命中した。 | 4 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
0.49886396527290344,
0.382057249546051,
-1.0268089771270752,
0.4315100908279419,
0.16503645479679108,
-1.2772786617279053,
0.6385729312896729,
0.2194838523864746,
-0.08370327949523926,
-0.37978506088256836,
-1.3253915309906006,
0.932441771030426,
-0.5774526596069336,
0.6641882061958313,
... |
Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 米国連邦捜査局の局員は、現在ニューヨークの投資銀行ゴールドマン・サックスをターゲットとする殺害予告について捜査している。
Filipino: ... | Yes | 3 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.46196532249450684,
-0.5885341167449951,
0.2180892378091812,
-0.007186808157712221,
0.3776404857635498,
-0.3350638151168823,
0.1894509196281433,
0.45710164308547974,
-0.0724894106388092,
-0.02659662812948227,
-0.750014066696167,
0.038733333349227905,
-0.4422034025192261,
0.21217954158782... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
One example is below.
Q: Un bărbat pune brânză mărunțită pe o pizza.
A: A man is spreading shreded cheese on a pizza.
Rationale: In the given translation process, the tense of both ... | A green steam engine traveling on the railroad tracks. | 9 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.37464040517807007,
0.4559665322303772,
0.42186638712882996,
-0.3198757469654083,
-0.09237584471702576,
-0.31276124715805054,
0.5064668655395508,
1.0255670547485352,
0.5549066066741943,
-0.18692807853221893,
-0.13419532775878906,
0.5467108488082886,
0.04902759566903114,
-0.17729045450687... |
TASK DEFINITION: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
PROBLEM: Somali sentence: 8 Xidhiidhka buurahu waa daaqiisa, Oo wuxuu raadiyaa wax kasta oo cagaar ah.
SOLUTION: 8 The range of the mountains is his pasture, and he searc... | 25 And thus are the secrets of his heart made manifest; and so falling down on his face he will worship God, and report that God is in you of a truth.
| 8 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.3116849660873413,
0.21231049299240112,
0.007339516654610634,
-0.5422770380973816,
-0.15459083020687103,
-0.37163838744163513,
0.8514209389686584,
1.5268352031707764,
0.18628710508346558,
-0.11292995512485504,
-0.7319769859313965,
0.5203466415405273,
-1.3213640451431274,
-0.08890254795551... |
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 as few ... | She is waiting for her parent . | 0 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.6150641441345215,
1.0885086059570312,
-0.9480018615722656,
0.2265205681324005,
-0.32940447330474854,
-0.4774605631828308,
-0.05575834587216377,
0.3414383828639984,
0.49242499470710754,
-0.16661417484283447,
0.40514907240867615,
0.32354170083999634,
-0.18250396847724915,
-0.24572083353996... |
Teacher:Translate from English to Hindi.
Teacher: Now, understand the problem? Solve this instance: What are you, a fucking geologist?
Student: | तुम क्या हो, एक कमबख्त भूविज्ञानी? ! | 6 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
-0.5986182689666748,
0.36129045486450195,
-0.18500298261642456,
-1.0527805089950562,
-0.6130602359771729,
-0.4371623992919922,
-0.0139339379966259,
0.3808043599128723,
0.03157031536102295,
-0.6286607980728149,
-0.31161969900131226,
0.31107860803604126,
-0.2649795413017273,
-0.6696076393127... |
Detailed Instructions: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_... | Jim Lee | 8 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.8877885341644287,
0.694804310798645,
0.023405807092785835,
-0.040718644857406616,
0.10595636069774628,
0.25579744577407837,
0.5361469984054565,
-0.17008070647716522,
0.8797315955162048,
-0.4528926610946655,
-0.4534885883331299,
0.5596418380737305,
-0.05999249964952469,
-0.10482495278120... |
Teacher:Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a s... | RANDOM | 6 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.39034539461135864,
0.39476075768470764,
-0.07286392152309418,
-0.3243663012981415,
-0.9518027305603027,
-0.04850644990801811,
0.4578033685684204,
0.5543115735054016,
0.8519906997680664,
-1.0799548625946045,
-0.6883008480072021,
0.28564316034317017,
-0.14591506123542786,
0.18400700390338... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
1, 1, ['r', 'H'] | r, H | 0 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.40507739782333374,
0.2979227900505066,
-0.4582309424877167,
-0.5189031958580017,
-0.8025146722793579,
0.1845197230577469,
0.5765906572341919,
-0.18774265050888062,
0.1342228651046753,
-0.3835560381412506,
-0.6745152473449707,
-0.8622629642486572,
0.20060987770557404,
0.1984274983406067,
... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: from heaven for you; and the people shall go out and gather a | samada idiinka soo; oo dadku waa inay dibadda u bixi doonaa, oo isu soo ururi a | 0 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
-0.148080974817276,
1.202949047088623,
-0.20991969108581543,
-0.595740795135498,
0.18825054168701172,
-1.4613441228866577,
0.09478944540023804,
0.23235197365283966,
0.45712029933929443,
-0.21591700613498688,
-0.10138562321662903,
1.026447057723999,
-0.6529152393341064,
0.2599259316921234,
... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Ex Input:
Category: construction
Words: windlass, crane, dump truck, pelican, digger
Ex Output:
pelican
Ex Input:
Category: pol... | fortitude
| 1 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.4591551721096039,
0.38220131397247314,
-0.04577846825122833,
-0.11632166802883148,
-0.14339406788349152,
0.2636406421661377,
-0.07543574273586273,
0.27547478675842285,
0.1852683126926422,
0.006833603605628014,
-0.6887748837471008,
0.03693445771932602,
-0.363759309053421,
0.1205691546201... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | G, w, 3879, 9891 | 4 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.45699968934059143,
0.5275835990905762,
0.6234418749809265,
-1.0468082427978516,
0.36124247312545776,
-0.1784963458776474,
0.22639313340187073,
-0.16484083235263824,
-0.36705482006073,
0.405904084444046,
-0.09812100231647491,
-0.07038293778896332,
0.4657290577888489,
-0.18309369683265686... |
Detailed Instructions: In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Problem:The bacterium is aerobic and non-spore forming1,... | Bakterien är aerob och icke sporbildande1,2. En viktig egenskap hos M. tuberculosis är att den efter infektion kan finnas kvar latent i kroppen under lång tid (t.o.m. hela livet). | 8 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
0.6046696305274963,
0.795154869556427,
-0.3754863142967224,
-0.16602358222007751,
0.015289908275008202,
-0.22710081934928894,
0.5676952600479126,
0.20727837085723877,
0.36928606033325195,
0.2073782980442047,
-0.22524526715278625,
0.4496000409126282,
-0.3916971683502197,
-0.3351394236087799... |
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 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... | uvvvu | 0 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.41621604561805725,
0.8257944583892822,
-0.04023464769124985,
-0.5128598213195801,
-0.11229230463504791,
-0.07963178306818008,
1.348832368850708,
-0.16906386613845825,
-0.02747724950313568,
-0.06834582984447479,
-0.20063957571983337,
-0.22761058807373047,
-0.4510009288787842,
0.252999037... |
Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Problem:In this article, an agent-based negotiation model for negotiation teams that negotiate a deal with an opponent is presented. Agent-based ... | Reaching Unanimous Agreements within Agent-Based Negotiation Teams with Linear and Monotonic Utility Functions | 8 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
0.14962011575698853,
0.16892170906066895,
-0.6402900815010071,
0.20468327403068542,
-0.059646300971508026,
-0.3601897358894348,
1.2268986701965332,
0.4819529354572296,
0.08797702938318253,
-0.158821240067482,
-0.3355425298213959,
-0.01976061798632145,
-0.6839531660079956,
0.458896398544311... |
A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Let me give you an example: Jacob Mathew, Mr
The answer to this example can be: ਯਾਕੂਬ ਮੈਥਿ, ਸ਼੍ਰੀਮਾਨ
Here is why: Correct translation for given sentence... | ਮੰਤਰੀ ਮੰਡਲ ਦੇ ਮੇਰੇ ਸਾਥੀ, ਡਾ. | 8 | NIv2 | task1007_pib_translation_english_punjabi | fs_opt | [
-0.38095763325691223,
0.5027605295181274,
-0.19121840596199036,
-0.7706795930862427,
0.4420226812362671,
-0.7393213510513306,
0.9335469007492065,
-0.44592371582984924,
0.607261598110199,
0.08113299310207367,
-0.022376999258995056,
0.5191490650177002,
-0.9495061635971069,
0.4652145206928253... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'a pole with two street signs on it and a picture of a man walking with a cane on each one'. Count the number of consonants in the given sentence. | 40 | 0 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.2555486559867859,
0.8721575140953064,
-0.9002193212509155,
-0.5628829598426819,
-0.10182169079780579,
-0.2501046061515808,
-0.40415215492248535,
0.8601326942443848,
-0.3296833336353302,
-0.2971106469631195,
-0.49527978897094727,
0.16683122515678406,
0.053533606231212616,
-0.6316028833389... |
Definition: 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.
Inpu... | Ants | 2 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.3544888496398926,
0.42926836013793945,
0.650995135307312,
-0.16341830790042877,
-0.11816343665122986,
-0.5917963981628418,
0.20092056691646576,
-0.3824123740196228,
-0.43149882555007935,
-0.4438120722770691,
-0.7309774160385132,
-0.019660135731101036,
-1.001440405845642,
0.50903499126434... |
TASK DEFINITION: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
PROBLEM: The conversation with Lakisha was outrageous.
SOLU... | fear
| 8 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.27961504459381104,
-0.10455375909805298,
0.2938348948955536,
-0.6394116878509521,
-0.2879487872123718,
-0.041081737726926804,
1.3143961429595947,
0.16925624012947083,
0.36820441484451294,
-0.25301769375801086,
-0.6740886569023132,
-0.2886808514595032,
-0.6285933256149292,
-0.06440675258... |
This task is about translating a given English language sentence to Yoruba language.
Let me give you an example: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
The answer to this example can be: Bí ó ti jẹ́ wí pé o k... | “Ẹ máa se fún wọn ní ìsinmi rárá. | 8 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.16533756256103516,
0.5742398500442505,
0.286188006401062,
-0.5579879283905029,
-0.5713689923286438,
-0.36316561698913574,
0.30156373977661133,
0.377255916595459,
0.14194922149181366,
-1.2691991329193115,
0.0269134771078825,
0.5141693353652954,
-1.2714985609054565,
0.4123116135597229,
... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | our giggle tinkle off our lip finger curl into fist love in the air cold a we be be throw back and forth behind our back and barrier in the form of snowball irregular they dona't fly straight hit wherever whenever cupid arrows frozen packed and disguise but still as sweet a little kiss
| 3 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.3704890012741089,
1.4430817365646362,
0.08692298829555511,
-0.5341055393218994,
-0.32812508940696716,
-0.7067304849624634,
0.6699646711349487,
0.7152786254882812,
-0.13636526465415955,
-0.48785167932510376,
-0.5145413875579834,
0.3494255542755127,
-0.1455812156200409,
-0.130953252315521... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
--------
Question: Yo no quiero terminar en ese astillero.
Answer: Non voglio finire in quel cantiere navale.
Question: Esta es la idea que podemos estudiar cómo se disparan estos virus en poblaciones humanas, el movimie... | Perché lei era come lui e a lui piaceva lei.
| 7 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.3397682309150696,
0.23314103484153748,
0.04844047874212265,
-0.07493607699871063,
-0.4071192741394043,
-0.20155954360961914,
0.1505841314792633,
0.9130043983459473,
-0.4854293167591095,
-0.5241681337356567,
0.1278074085712433,
0.3620203137397766,
-0.17937606573104858,
0.2251219749450683... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: "In April 1946, the University of Chicago agreed to operate Argonne National Laboratory, with an association of Midwestern universities offering to sponso... | positive | 4 | NIv2 | task284_imdb_classification | zs_opt | [
-0.00125051848590374,
0.5046454668045044,
-0.6697220206260681,
0.25746458768844604,
0.6450000405311584,
-0.6376419067382812,
0.1400313675403595,
0.8986644744873047,
0.45528271794319153,
0.3972412943840027,
-0.31583741307258606,
0.09872995316982269,
-0.4685581624507904,
-0.11968450248241425... |
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 when the individual's beli... | green_suitcase
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.4115299582481384,
-0.43049246072769165,
-0.17290392518043518,
0.00465730344876647,
0.030701743438839912,
-0.7627445459365845,
0.10163860023021698,
0.795367956161499,
0.23928982019424438,
0.039871782064437866,
-0.35783451795578003,
0.5138041377067566,
0.16548436880111694,
0.22730898857116... |
Teacher:In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: But celebrate the praises of thy Lord, and be of those who prostrate themselves in adoration.
Student: | پس [برای دفع دلتنگی] پروردگارت را همراه با سپاس و ستایش تسبیح گوی و از سجده کنان باش. | 6 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.4501649737358093,
0.9354193210601807,
0.2831358313560486,
-0.3428136110305786,
-0.35156700015068054,
-0.42014122009277344,
-0.046836741268634796,
-0.0077705178409814835,
0.3640415072441101,
-0.1559041142463684,
-0.18578289449214935,
-0.11575102806091309,
-0.6269260048866272,
-0.26487305... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | IQcsuztgd, DHcsuzhT | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.14537854492664337,
0.6353265047073364,
-0.2827168405056,
-0.5206648111343384,
-0.019208939746022224,
-0.1051504835486412,
0.8858523368835449,
-0.9398946762084961,
-0.1975736767053604,
0.6849895119667053,
-0.8353022933006287,
-0.41369327902793884,
0.06384030729532242,
0.2029595673084259,
... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Y voy a hacer un video completo, así que podemos pensar
Output: | That's a pretty nice and simple outcome. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.2682250142097473,
1.0108668804168701,
0.5551611185073853,
0.1803467869758606,
0.10192667692899704,
-0.257881224155426,
0.058427844196558,
1.3533116579055786,
0.20490653812885284,
-0.1443217694759369,
0.3256344199180603,
-0.11852161586284637,
-0.14297838509082794,
-0.1123037338256836,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Example: I have bought several of t... | Great! | 1 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.6395862698554993,
-0.04662555456161499,
-0.10605767369270325,
0.23504404723644257,
0.18471217155456543,
0.05432158336043358,
0.3316968083381653,
0.3312593400478363,
-0.48574456572532654,
-0.10653269290924072,
0.32814154028892517,
-0.15080738067626953,
-0.27217841148376465,
-0.1503309160... |
Part 1. Definition
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Part 2. Example
Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Answer: The mailbox was bent and broken and looked like someone... | Alternatively we can say that the Moon revolves around the Earth 10,724 times to cover the distance that the light travels in 24 hours . | 7 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.19780507683753967,
1.016416311264038,
-0.12206851691007614,
-0.06527498364448547,
0.006619748659431934,
-0.6112635135650635,
0.7774466276168823,
0.42788219451904297,
0.04564435034990311,
-0.5720572471618652,
-0.34482550621032715,
0.2467338740825653,
-1.1431550979614258,
-0.05412474274635... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the e... | No | 9 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.18790674209594727,
0.3430534303188324,
0.39696770906448364,
-0.40653544664382935,
-0.5267534255981445,
-1.1197187900543213,
1.2050162553787231,
0.652839720249176,
-0.5886845588684082,
-0.5080092549324036,
-0.5363902449607849,
-0.32381680607795715,
-0.7182514667510986,
0.4564300775527954,... |
Given the task definition, example input & output, solve the new input case.
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Example: Persona... | That is ok I just moved here from France! | 1 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.19519490003585815,
-0.052231788635253906,
-0.5804468989372253,
0.17468106746673584,
0.23068812489509583,
0.29256683588027954,
0.5074970722198486,
0.18510618805885315,
-0.3991491496562958,
-0.41127556562423706,
-0.2524729371070862,
0.11932173371315002,
0.16513366997241974,
-0.397897362709... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example Input: i mam nadzieję, że zastanowicie się zanim powiecie "" nie "".
Example Output: و از شما میخواهم پیش از رد کردن آن کمی درباره اش فکر کنید.
Example Input: Myślę, że implikacje są przemożne, zarówno dla nauki, ja... | چه مقدار از تغییر در بافتها مشاهده میشود.
| 3 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.5555408000946045,
0.5187653303146362,
0.14107045531272888,
-0.1730332374572754,
-0.39689508080482483,
-0.5744081735610962,
1.4089982509613037,
-0.15799745917320251,
0.15564203262329102,
0.44297802448272705,
-0.34745338559150696,
0.5845414996147156,
-0.8464449644088745,
0.232096657156944... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
[EX Q]: we were unable to find anyone with that name and location .
[EX A]: no one was found with this name and location .
[EX Q]: 'trouble is... | a senior man signed into the book and paid for the week ahead .
| 6 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.242410346865654,
0.79603111743927,
-0.1930154263973236,
-1.084364652633667,
-0.2656151056289673,
-0.7180665731430054,
1.560448408126831,
-0.07830706238746643,
0.23823991417884827,
-0.34735238552093506,
0.34195369482040405,
-0.02256040647625923,
-0.5605413317680359,
0.4091348648071289,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Pozwólcie zatem, że zaproponuję dwa uzupełniające się podejścia prowadzące do zmiany istniejących realiów. | And so now let me suggest two complimentary approaches to changing the reality of the situations. | 0 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-1.2144899368286133,
0.5531798601150513,
0.5349690318107605,
-0.26030299067497253,
-0.17630767822265625,
-0.47478583455085754,
1.022567868232727,
-0.13637597858905792,
0.7175641059875488,
-0.7562002539634705,
-0.20099787414073944,
0.026454277336597443,
-0.8108465671539307,
0.18340599536895... |
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 Hebrew. Your job is to translate the Hebrew sentence into English.
מונטריי היא אחת מהם.
Solution: Monterey is one of those.
Why? The Hebrew sentence is correctly translat... | And his answer was very interesting. | 0 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.15474779903888702,
0.4452543258666992,
0.6000688076019287,
-0.4219285547733307,
-0.24100768566131592,
-0.2920069098472595,
0.5143030881881714,
-0.026987537741661072,
1.1036382913589478,
-0.6833895444869995,
-0.258192777633667,
-0.0642772912979126,
-0.5187499523162842,
0.362318217754364,... |
Detailed Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Q: Jag vill avslutningsvis gärna k... | Swedish | 9 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.0063118962571024895,
0.374582976102829,
0.7698752880096436,
-0.048579175025224686,
0.3710049092769623,
-0.6283335089683533,
0.6638575792312622,
0.7398749589920044,
0.6370024085044861,
0.12005584686994553,
0.08952134847640991,
0.2642592787742615,
0.09323973953723907,
-0.3684768080711365,... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | Solution: I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN | 5 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.1637745052576065,
0.6384672522544861,
-0.3490002155303955,
-0.0940852239727974,
0.05860097333788872,
-0.04565306380391121,
0.40884095430374146,
-0.04743039608001709,
-0.17135995626449585,
-0.4403841197490692,
-0.8538501262664795,
-0.3982255756855011,
-0.7618491649627686,
-0.1997603476047... |
Definition: In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: 那人在大厅里寻路，该找谁呢？
Options: A 商业计划 B 太阳 C 办公楼 D 接待员 E 大楼
Output: | D | 2 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
-0.3119073212146759,
0.24265703558921814,
-0.654869019985199,
-0.4829898178577423,
-0.2663210332393646,
0.11418047547340393,
0.3139670193195343,
0.16265654563903809,
0.46908697485923767,
-0.1715591847896576,
-0.3737580180168152,
0.17199161648750305,
0.7981319427490234,
-0.19171421229839325... |
You will be given a definition of a task first, then some input of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individua... | blue_box | 1 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.2636926472187042,
-0.07530536502599716,
-0.3535364270210266,
-0.3483918309211731,
-0.214657723903656,
0.04136247932910919,
0.7216050624847412,
0.4391046464443207,
0.3216736316680908,
-0.397471159696579,
-0.6129124164581299,
0.1673881709575653,
-0.2188068926334381,
-0.10704401135444641,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example Input: Reviews: These are nice brushes but not hard... | False
| 3 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.2315686047077179,
0.30019810795783997,
-0.18411462008953094,
-0.2710092067718506,
0.006051986012607813,
-0.4170365333557129,
1.0363502502441406,
0.9536168575286865,
0.0735529214143753,
0.2416839301586151,
-0.59800124168396,
-0.25702154636383057,
-0.49005600810050964,
-0.4143357276916504... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX casts ___ into the water
pebbles
PersonX sends ___ to the principal
his son... | restaurant
| 0 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
0.27349817752838135,
1.3255305290222168,
-0.3562362790107727,
-0.7890651822090149,
-0.09543117880821228,
-0.5592954158782959,
0.8769935369491577,
0.057926781475543976,
-0.1541038304567337,
-0.9242318868637085,
-0.09511702507734299,
-0.3669709861278534,
-0.6307531595230103,
0.09072516858577... |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If ... | [338624, -2331, 0] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.0617126040160656,
0.4642521142959595,
-0.34517860412597656,
-0.30186349153518677,
0.3605707883834839,
-0.3156442642211914,
0.8080276846885681,
0.5037100911140442,
-0.2104097604751587,
0.047126300632953644,
-0.32405325770378113,
-0.3969138264656067,
-0.5227246880531311,
-0.827023863792419... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | ways to add color to the wall | 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.6363372802734375,
0.37998726963996887,
-0.6393052339553833,
-0.03995579108595848,
-0.15806081891059875,
-0.5277520418167114,
0.12320257723331451,
0.6298340559005737,
0.21108223497867584,
-0.39189040660858154,
-0.17715424299240112,
0.5598875880241394,
-0.28133291006088257,
0.168647795915... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | Solution: [-129, 87, 80, 86, -146, 43, -152, -14, -78] | 5 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.40759360790252686,
-0.08162727952003479,
-0.5725328326225281,
-0.29232001304626465,
0.10799168050289154,
0.1260969340801239,
0.663585901260376,
0.6916173100471497,
-0.40723416209220886,
-0.12545894086360931,
-0.6464043259620667,
-0.0472099632024765,
-0.2830238342285156,
-0.32685011625289... |
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 short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the giv... | Yes | 0 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.23829685151576996,
0.1910811960697174,
-0.1724645346403122,
0.24392332136631012,
0.5459568500518799,
-0.3711024224758148,
0.20449692010879517,
1.5305811166763306,
0.3391631841659546,
-0.04609943926334381,
-0.2497180998325348,
-0.3432948589324951,
-0.5314654111862183,
0.00208195857703685... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b... | attri
| 6 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.10683605074882507,
0.01756744273006916,
0.13184860348701477,
0.04346752166748047,
-0.7068150639533997,
-0.09824901074171066,
0.22884851694107056,
0.5604974031448364,
0.07910441607236862,
-0.7017361521720886,
-0.6092418432235718,
0.1351337730884552,
-0.7054438591003418,
0.4176055788993835... |
Teacher:In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Teacher: Now, understand the problem? Solve this instance: نبرد من کتابی، ... | True | 6 | NIv2 | task396_persianqa_classification | zs_opt | [
0.20212067663669586,
0.07071264833211899,
-0.16493511199951172,
0.014965592883527279,
0.0434817336499691,
-0.04641062766313553,
1.2489650249481201,
1.179107666015625,
0.394755482673645,
-0.566059947013855,
-1.0613033771514893,
0.6926586627960205,
-1.3214941024780273,
-0.1913735568523407,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: A flashy automobile is what PersonX drives but not PersonY because _ makes more money.
Sentence 2: A flashy automobile is what PersonX drives but not PersonY because _ makes less money.
| 1 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.11623866856098175,
0.40998589992523193,
-0.054336193948984146,
-0.0648876205086708,
0.2975945472717285,
-0.5924178957939148,
0.7753016948699951,
0.9572800993919373,
-0.15891066193580627,
-0.5816985368728638,
-0.7446779608726501,
-0.07417401671409607,
-0.7893972992897034,
0.16628018021583... |
In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence.
Example input: Sentence: The album is named after the discr... | guys ### them | 3 | NIv2 | task1520_qa_srl_answer_generation | fs_opt | [
-0.40016990900039673,
0.9788026809692383,
0.14284706115722656,
-0.2841896414756775,
-0.3885764479637146,
-0.5626085996627808,
0.2568313777446747,
0.18441930413246155,
0.24291308224201202,
-0.7120237946510315,
-1.563476800918579,
0.1867300271987915,
-0.7185754776000977,
-0.3785906732082367,... |
Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence ... | helicopter flying over a city | 3 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.9236058592796326,
0.46806663274765015,
-0.1788484752178192,
-0.563040554523468,
-0.07099699974060059,
-0.7531250715255737,
0.6283924579620361,
0.6801605224609375,
-0.13923288881778717,
-0.3622778356075287,
-1.024770736694336,
0.21025118231773376,
-0.44325152039527893,
-0.144210457801818... |
Definition: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: The retailer said it came to the decision after hearing the opinions of customers and associates ., Sentence2: The decision came after " listening t... | Yes | 2 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.2615581750869751,
0.19569122791290283,
0.19785651564598083,
0.29515179991722107,
0.2068455070257187,
-0.8785922527313232,
0.6341233253479004,
0.15378513932228088,
0.39299681782722473,
0.2622855305671692,
-0.11361562460660934,
0.023406468331813812,
-0.32752591371536255,
-0.19986082613468... |
Definition: In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in the same ord... | methotrexate, placebo | 2 | NIv2 | task180_intervention_extraction | zs_opt | [
0.3575264811515808,
0.3016442656517029,
-0.48477399349212646,
-0.795754611492157,
0.2224423587322235,
-0.19671043753623962,
0.9030205011367798,
0.5259308218955994,
0.852465033531189,
0.36123913526535034,
-1.1081137657165527,
-0.11973381787538528,
-0.21019354462623596,
0.062133271247148514,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Cotone: l'Uzbekistan è il secondo esportatore di cotone al mondo. | Bawełna: Uzbekistan jest drugim największym eksporterem bawełny na Ziemi. | 0 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
0.09443023055791855,
1.1577513217926025,
-0.03379194810986519,
0.41381561756134033,
-0.384477436542511,
-0.1677212417125702,
-0.574140191078186,
0.15977239608764648,
-0.6158819198608398,
0.0018237009644508362,
-0.4567279815673828,
1.212673544883728,
-0.14716185629367828,
0.5755658149719238... |
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... | No | 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.6686704754829407,
0.15994420647621155,
0.816156268119812,
0.1860107034444809,
0.5154492855072021,
-0.41561368107795715,
0.19202762842178345,
0.10993939638137817,
-0.4349585175514221,
-0.34371417760849,
-0.6054139137268066,
0.2588527202606201,
-0.9004137516021729,
0.5141438245773315,
0... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Example: Paragraph: The severe acute respiratory syndro... | Solution: True | 5 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.5235980749130249,
0.3640207052230835,
-0.39224374294281006,
0.31205517053604126,
0.5581597685813904,
0.22284261882305145,
0.5139299035072327,
1.0255792140960693,
-0.5043284296989441,
0.9506490230560303,
-0.521100640296936,
1.0891048908233643,
-0.2202831506729126,
0.2017134577035904,
0.... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about translating a given French language sentence to English.
Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Solution: You did such a great thing... | So depending on whether you want to use the back one which is the brightest, most trebbley sort of sound or the one nearest the neck, surprisingly called the neck pick up, this one's kind of got the bassiest and fatest sound. | 0 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.6683782339096069,
0.8367235660552979,
0.12410750985145569,
-0.09903682768344879,
0.5272473692893982,
-0.15530961751937866,
0.44615620374679565,
0.15778188407421112,
0.21396754682064056,
0.20638108253479004,
-0.3201640844345093,
0.3303835391998291,
-0.3760893940925598,
0.365974485874176,... |
Part 1. Definition
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Part 2. Example
A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the po... | The common swift makes its cousin's six months in continuous flight look like nothing more than a hop, skip, and a jump. The tiny bird easily steals the record for longest continuous flight by spending 10 months in the air without landing once, reports NPR, by way of a study in Current Biology. In 2013, researchers at ... | 7 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6392346024513245,
0.11020901799201965,
0.09322665631771088,
-0.031095195561647415,
1.0157651901245117,
-0.2299347221851349,
1.0883920192718506,
0.9584980010986328,
-0.45683252811431885,
0.7813372015953064,
0.06528200954198837,
0.27017742395401,
-0.10442877560853958,
0.6778194904327393,
... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggeste... | You want to find a coffee shop in the city centre. You don't care about the price range. You want to know the address and type of food of the venue. | 4 | NIv2 | task1499_dstc3_summarization | zs_opt | [
-0.12950310111045837,
0.6038307547569275,
-0.4158463478088379,
-0.18488259613513947,
0.021189868450164795,
-0.7918195724487305,
0.23830504715442657,
0.5119235515594482,
-0.1572936773300171,
0.10438700020313263,
0.5845006704330444,
-0.2861904501914978,
-0.12615610659122467,
-0.0362772531807... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example Input: Enviado para a prisão, insistiu de forma inflexível na sua inocência, coisa que fez consistentemente durante 21 anos.
Example Output: Rinchiuso in carcere, insistendo ostinatamente sulla propria innoce... | In malgascio significa "" grande malattia "", per quanto ci siamo ammalati cercando di raccogliere questa specie.
| 3 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.017423901706933975,
0.8091185092926025,
0.3586765229701996,
-0.0676787793636322,
-0.779094398021698,
-0.8919225931167603,
0.39025142788887024,
1.1039154529571533,
-0.5861694812774658,
-0.1514734923839569,
-0.9434558153152466,
0.23808903992176056,
-0.6928558349609375,
0.2704123258590698,... |
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".
All of the information was not able to fit in my mind, because the _ was lacking. (A) information (B) mind | B | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.3608476519584656,
0.41136687994003296,
0.347184419631958,
-0.4168153405189514,
-0.39821553230285645,
-0.7713232040405273,
0.6270058155059814,
0.37582606077194214,
0.6261420845985413,
-0.17907774448394775,
-0.23669880628585815,
-0.4426875114440918,
-0.04655669257044792,
-0.119528442621231... |
You will be given a definition of a task first, then some input of the task.
This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in... | Antwerp International Airport | 1 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.2415410280227661,
1.0560038089752197,
0.16693748533725739,
-0.6222346425056458,
-0.054065972566604614,
0.22808796167373657,
0.6887562274932861,
-0.0038070050068199635,
0.4826356768608093,
-0.27159494161605835,
-0.6555044651031494,
0.15847831964492798,
-0.985670268535614,
0.3169975280761... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top... | non-political
| 7 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
0.02233973890542984,
-0.393206387758255,
0.39928704500198364,
0.3236732482910156,
-0.5287824273109436,
-0.47350695729255676,
0.21418099105358124,
0.04705405235290527,
-0.5699047446250916,
0.3176966607570648,
-0.034446969628334045,
0.15444378554821014,
-0.07648041844367981,
-0.4647052884101... |
Given the task definition, example input & output, solve the new input case.
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 ou... | ['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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3281756639480591,
-0.2152056097984314,
-0.10814182460308075,
0.29559528827667236,
0.5520943403244019,
-0.2533736824989319,
0.3937038481235504,
1.0149075984954834,
-0.8200831413269043,
0.0691865012049675,
0.2611870765686035,
-0.193048357963562,
-0.32674509286880493,
0.11944957822561264,
... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: 英国王立植物園からはしきりにゴムの木に近づかないように警告を受けました
Output: | کیو گاردنس اصرار داشت که من اجازه ندارم از شیره درخت کاووچو اش استفاده کنم | 2 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.3209657371044159,
0.36860114336013794,
-0.3161594271659851,
-1.3286525011062622,
-0.43432995676994324,
-2.005930185317993,
0.10538852214813232,
-0.08883798122406006,
-0.1320725679397583,
0.024233736097812653,
-0.8389715552330017,
0.5950210094451904,
-0.6437357664108276,
-0.02553716674447... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
One example: 1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar, 2 sticks unsalt... | eggs, milk, salt, pepper, bread, butter, strawberry jam, deli, ham, swiss cheese, powdered sugar | 6 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.34522879123687744,
0.47388625144958496,
-0.1405259370803833,
0.3934081792831421,
0.09755630791187286,
-0.3535865843296051,
0.4114973545074463,
0.4093368649482727,
-0.6873824596405029,
-0.10989658534526825,
-0.075589619576931,
-0.028870321810245514,
-0.8082407712936401,
-0.216921508312225... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
****
| 4 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.33720168471336365,
-0.0994940996170044,
0.18376794457435608,
0.20711109042167664,
-0.42971229553222656,
-1.3121628761291504,
1.5783061981201172,
0.49036094546318054,
-0.6698266267776489,
-0.7198339104652405,
-0.3267052173614502,
0.031751133501529694,
-0.8148109316825867,
0.61205238103866... |
Part 1. Definition
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Part 2. Example
How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of ... | What did ladainian tomlinson ? | 7 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.20869791507720947,
0.2708370089530945,
-0.2544468641281128,
0.0017101236153393984,
-0.4913746118545532,
0.1357133686542511,
0.7045978307723999,
-0.5516504645347595,
-0.14747217297554016,
-0.30470019578933716,
-0.5574766397476196,
-0.10227972269058228,
-0.24367035925388336,
-0.09158182144... |
Given a text, write a compressed version of it in a single sentence.
One example is below.
Q: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
A: "Except for this small vocal minority, we have no... | The advantages of membership begin now! By joining the IHS today as a $50 member you'll be rewarded $10 to spend on Society merchandise. | 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.211528480052948,
0.4943253993988037,
0.3543766736984253,
0.593563437461853,
0.1413651555776596,
-1.8581175804138184,
0.6257071495056152,
0.4123837649822235,
-0.07279384881258011,
0.2079501748085022,
-0.15093475580215454,
-0.24435636401176453,
-0.656936526298523,
-0.22303339838981628,
... |
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.
[34, 118, 5... | [51] | 0 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.43333369493484497,
0.5277950763702393,
-0.030815329402685165,
-0.6785531640052795,
0.3760519027709961,
-0.0781567245721817,
1.2455086708068848,
0.27275311946868896,
-0.40298664569854736,
0.4744790196418762,
-1.0123711824417114,
0.06489662081003189,
-0.3066956400871277,
-0.40541929006576... |
Definition: Translate the given Spanish text to English
Input: The processed difference signal is combined with a sum signal, generated from the left and right input signals, and the original left and right input signals to create enhanced left and right output signals.
Output: | La señal de diferencia procesada se combina con una señal de suma, generada desde las señales de entrada, izquierda y derecha, y las señales de entrada originales, izquierda y derecha, para crear señales de salida intensificadas, izquierda y derecha. | 2 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.5069830417633057,
-0.20207330584526062,
-0.816785454750061,
-0.1693527102470398,
-0.12321248650550842,
0.38796520233154297,
0.11623453348875046,
0.6966198682785034,
0.5368975400924683,
-0.12084463238716125,
-0.5356143116950989,
0.20748576521873474,
-0.2706591486930847,
0.123719379305839... |
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
Q: وَبا، مرگامرگی یا کالِرا (به انگلیسی: Cholera) یک عفونت در روده باریک است که از طریق آب توسط باکتری ویبریو کلرا ایجاد میشود. این باکتری با نوش... | قاره آمریکای شمالی
****
| 4 | NIv2 | task467_parsinlu_rc_answer_generation | fs_opt | [
0.34383624792099,
0.7347002625465393,
-0.9876508712768555,
0.26225876808166504,
-0.22592177987098694,
-0.3870042562484741,
0.34856003522872925,
0.6211754679679871,
0.008174935355782509,
0.36223849654197693,
-0.5229024887084961,
0.8577866554260254,
0.16948799788951874,
0.41839462518692017,
... |
Part 1. Definition
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 list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than ... | b, 8541, 9913, 8089, e, 3817, G, n, N, 1823 | 7 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.03591924533247948,
0.2444862425327301,
-0.13416408002376556,
-0.5292232036590576,
0.37289655208587646,
-0.2400793433189392,
0.8748358488082886,
-0.21431168913841248,
-0.1469956487417221,
0.2925923764705658,
-1.1065919399261475,
-0.19344039261341095,
0.22432371973991394,
-0.1644837707281... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here ... | False | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.022139420732855797,
0.0024750176817178726,
-0.4285985827445984,
0.21154911816120148,
-0.28323864936828613,
-0.27654626965522766,
0.7631688117980957,
0.4606621265411377,
-0.3074783682823181,
0.06294053047895432,
-0.5303186178207397,
0.5732941627502441,
-0.20880427956581116,
0.20960497856... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
If you've purchased many types of m... | Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.9881256222724915,
0.5038424730300903,
0.18387164175510406,
-0.07460222393274307,
0.21371105313301086,
-0.9402534365653992,
0.3783814311027527,
0.44526171684265137,
0.33582836389541626,
0.4856576919555664,
-0.6717471480369568,
0.37067821621894836,
-0.2949119210243225,
-0.3579567372798919... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 11, ['2447', '3911', '9945', '1589', '8065', 'J', 'X', '1433', 'A', '869', 'Q', '9805', '5515', 'z', '9141', '301... | 9805, 5515, z, 9141, 3013, 2067, U, 2149, 3423, 7777, 1031 | 4 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.17816027998924255,
0.47371867299079895,
-0.4510359764099121,
-0.4404810070991516,
-0.896308422088623,
-0.3301105201244354,
0.6601877212524414,
-0.36880967020988464,
-0.8061352968215942,
-0.5402650237083435,
-0.8717948198318481,
-0.06510783731937408,
0.006981225684285164,
-0.0917404890060... |
Part 1. Definition
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.
Part 2. Example
ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
Answer: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy ർജ്ജ ഉപഭോഗത്തിൽ മാറ്... | ഇതില് 22. | 7 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.43426376581192017,
0.5179524421691895,
0.010110151022672653,
-0.9227570295333862,
-0.3885101079940796,
-1.1925334930419922,
0.5679605007171631,
0.2778070569038391,
0.05004424974322319,
-0.40004366636276245,
-0.8334330320358276,
-0.2011774331331253,
-0.8954086303710938,
-0.324166804552078... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Handsworth
| 1 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.4941748380661011,
0.5025713443756104,
-0.6050763130187988,
-0.38297200202941895,
0.44361233711242676,
0.16617487370967865,
0.5654397010803223,
0.6822623610496521,
0.37431564927101135,
-0.3405649662017822,
0.02631409466266632,
1.4111614227294922,
-0.48652416467666626,
0.03084268420934677,... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
What do u mean by gram flour in kannada? | What is another name for Gram Flour? | 0 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.3969307839870453,
0.12980666756629944,
-0.2186264991760254,
-1.3752319812774658,
-0.32532569766044617,
-0.9610633254051208,
-0.0046705929562449455,
0.5824263691902161,
-1.0062925815582275,
-0.4489530920982361,
-0.5767788887023926,
0.11957384645938873,
-0.790830135345459,
0.5794935226440... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Example: 人の脳の何がそんなに特別なのでしょうか ？
Output: מה מייחד את המוח האנושי?
The Japanese sentence is correctly translated into Hebrew, because they both refe... | עכשיו, בוידאו הזה שאני עומד להראות לכם ישנה ילדה שנולדה חרשת. | 1 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.44826754927635193,
0.13070622086524963,
0.1222846508026123,
-0.08983573317527771,
0.001268603140488267,
0.13997286558151245,
0.11789686232805252,
0.08641332387924194,
0.7460823059082031,
-0.404803991317749,
-0.3944835662841797,
-0.21165713667869568,
-0.5018273591995239,
0.02399480342864... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: Ho quindi detto: "" Immaginatevi in un film intitolato Fuga da Malibu, perché tutti i VIP si sono trasferiti nel Nord-Dakota, dove non c'è inquinamento.
A: | E dixen: "" Entón, imaxinen que están nunha película chamada 'Fuxindo de Malibú "", porque todas as persoas bonitas mudáronse a Dakota do Norte, onde está limpo e seguro. | 4 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.5033763647079468,
0.14547784626483917,
-0.7980865240097046,
-0.4525272846221924,
-0.8139294385910034,
-0.7377052307128906,
-0.6376593112945557,
1.1467267274856567,
0.19110581278800964,
-0.18703272938728333,
0.514938473701477,
-0.6736777424812317,
-0.5866986513137817,
-0.4051333069801330... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Q: Context: Casey didn't like Aubrey anymor... | True | 4 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
0.2701948583126068,
0.45008158683776855,
0.05575820431113243,
-0.3179657459259033,
-0.3674367666244507,
-0.28676098585128784,
1.107042908668518,
0.38371115922927856,
0.4266171157360077,
0.12881308794021606,
-0.5108252763748169,
-0.46184730529785156,
-0.3724357485771179,
0.1771271526813507,... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 4 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.3918512165546417,
0.03218214586377144,
0.14922316372394562,
-0.08901409804821014,
-0.5072197318077087,
-0.8501306176185608,
1.387711524963379,
0.37442588806152344,
-0.7192448377609253,
-0.3785618543624878,
-0.12969323992729187,
-0.308071494102478,
-0.8807559013366699,
0.3352336585521698,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: There are a lot of public libraries in Britain. These l... | Why did Connie write to Carol? | 0 | NIv2 | task311_race_question_generation | fs_opt | [
0.7477824091911316,
0.44610273838043213,
-0.09922915697097778,
-0.3453153967857361,
0.9232801198959351,
-0.3373393714427948,
1.2875704765319824,
0.5812493562698364,
0.19355137646198273,
-0.3777073621749878,
-0.26543402671813965,
0.5008147358894348,
-1.2336621284484863,
0.4994203448295593,
... |
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 integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output ... | [182, -5.5, -274, 8.0, 2.0, 20.0, 134, -202, -338, 270] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.1015712097287178,
0.6341233253479004,
-0.18153254687786102,
-0.12465082108974457,
0.3086296617984772,
-0.10179122537374496,
1.0635074377059937,
0.35617879033088684,
0.06249465420842171,
0.20034059882164001,
-0.5429512858390808,
-0.7134209871292114,
-0.4100959599018097,
0.067821577191352... |
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