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 |
|---|---|---|---|---|---|---|
Definition: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: ભુખલી માંથળી (તા. કુંકાવાવ) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્... | ભારત | 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.15689826011657715,
0.5891250371932983,
0.38289979100227356,
-0.3461259603500366,
-0.4779966473579407,
-0.3451113700866699,
0.881295919418335,
0.5021695494651794,
-0.20340898633003235,
-0.5207068920135498,
-0.42875200510025024,
0.6376187801361084,
-0.0959637463092804,
-0.19272327423095703... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion
| 5 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
-0.4186296761035919,
0.3462978005409241,
-0.0927279144525528,
-0.25588321685791016,
-0.40012288093566895,
-0.5643486976623535,
0.7081718444824219,
-0.039776191115379333,
0.15321804583072662,
-0.24153241515159607,
-0.14175009727478027,
-0.20265454053878784,
-0.40142232179641724,
0.458593070... |
Q: The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
PersonX understands PersonX's ___ better
A: | knowledgable | 7 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.08540937304496765,
0.3922714591026306,
0.12031009793281555,
-0.5670047998428345,
-0.4783591032028198,
-0.9027994871139526,
0.9967787861824036,
0.9031311273574829,
0.2202652245759964,
-0.40669339895248413,
-0.033237725496292114,
0.13539017736911774,
-0.6101752519607544,
0.590829014778137... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Ex Input:
THEM: i would like the 2 hats and the ball. YOU: i need the 2 hats you can have the rest THEM: no deal, you can have one hat and i'll have the other, plus the ball YOU: i need both hat... | Yes
| 1 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.5628821849822998,
0.25454437732696533,
-0.31539589166641235,
0.9074472188949585,
0.3497513234615326,
-0.8732070922851562,
0.05606278404593468,
0.6166067719459534,
0.06235735863447189,
-0.6011760234832764,
-0.3992465138435364,
0.3129907250404358,
-0.5799742937088013,
-0.4436878561973572,
... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a ... | On s'ubica el claustre? | 3 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.7872536182403564,
1.2926199436187744,
-0.6809384822845459,
0.3726568818092346,
0.026864295825362206,
-0.8267247676849365,
1.020221471786499,
0.7899284958839417,
-0.4928017258644104,
0.14834004640579224,
-0.6090971231460571,
0.13834911584854126,
-0.7216472625732422,
0.30161285400390625,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: Udoskonalaliśmy się raz za razem.
A: | لقد ترقينا مرة ومرة أخرى ومرة أخرى. | 9 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.1905457079410553,
0.8620717525482178,
0.29120171070098877,
-1.1024503707885742,
-0.08857011795043945,
-0.19745968282222748,
1.5669105052947998,
-0.6597025990486145,
0.186550110578537,
0.40828776359558105,
-0.34025463461875916,
-0.20997029542922974,
-0.952204704284668,
0.5107789039611816... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
entity: calendar date
before: yesterday
after: today
attr: date
date of calendar date was yesterday before and today afterward... | board of board was rolling across the street before and slowing down afterwards
| 0 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.4240155518054962,
0.8170167207717896,
-0.5333269238471985,
-0.3970721960067749,
-0.5932843685150146,
-1.238739252090454,
-0.2823653221130371,
0.9316300749778748,
-0.00953493732959032,
-0.1519170105457306,
0.3030110001564026,
-0.07073254138231277,
-0.6756073236465454,
-0.22569270431995392... |
Detailed Instructions: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'f... | [{'first': -64, 'second': 73}, {'first': -39, 'second': 73}, {'first': 35, 'second': -78}] | 4 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.17573899030685425,
-0.06110096722841263,
-0.3859063386917114,
0.24776668846607208,
0.5752016305923462,
0.050511278212070465,
0.2653179168701172,
0.6806206703186035,
-0.009721335954964161,
-0.5233458280563354,
-0.6834497451782227,
-0.7041068077087402,
-0.7201302647590637,
-0.2400164306163... |
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
| 7 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.6283440589904785,
-0.285830557346344,
0.11549971997737885,
-0.027380432933568954,
0.018277376890182495,
-1.4606305360794067,
1.5445700883865356,
0.8849263191223145,
-1.181396722793579,
-0.2532981038093567,
-0.1956525295972824,
0.008443432860076427,
-0.851695716381073,
0.24333679676055908... |
Detailed Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Q: Given Relationship: 'be locate', Sentence: 'The Hotel is located 16 miles away from the Heart of Downtown Toronto , as well as the Theat... | located | 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
0.7250378131866455,
0.19089359045028687,
-0.07384461909532547,
-0.5636420249938965,
-0.21168269217014313,
-0.44436874985694885,
0.19146420061588287,
0.4463200867176056,
0.4597458243370056,
-0.5074754953384399,
0.483010470867157,
0.2365306168794632,
-1.4066052436828613,
0.3753291368484497,
... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question... | After scrambling eggs with a fork | 3 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.8502480983734131,
0.6679021716117859,
-0.46619564294815063,
0.38856011629104614,
-0.5084271430969238,
-0.08405591547489166,
1.0410504341125488,
1.0811222791671753,
-0.3136081397533417,
-0.4317891001701355,
-0.43677443265914917,
-0.05537908151745796,
-0.5694476962089539,
0.002756689209491... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene | 3 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.33007776737213135,
0.8155407309532166,
0.2909908890724182,
0.20440202951431274,
-0.2973830997943878,
-0.5746955275535583,
-0.03604754060506821,
0.2219093143939972,
0.1190711185336113,
0.39274483919143677,
-0.15574949979782104,
0.06938615441322327,
0.07361027598381042,
-1.068192481994629... |
Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'N... | No | 3 | NIv2 | task227_clariq_classification | zs_opt | [
-0.821464478969574,
-0.17120739817619324,
-0.06662972271442413,
-0.4240378141403198,
-0.42069461941719055,
-0.4663083553314209,
0.44380420446395874,
0.7371968030929565,
0.17388471961021423,
0.1829969733953476,
-0.14898574352264404,
0.010789789259433746,
-0.24216049909591675,
-0.08608317375... |
Instructions: 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 answe... | She passed away. | 3 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.14116588234901428,
0.923514187335968,
0.09490473568439484,
-0.0036421557888388634,
-0.009158402681350708,
-0.6258078813552856,
0.36265891790390015,
-0.12139102816581726,
0.14065657556056976,
-0.1878296136856079,
-0.4625076353549957,
-0.17068906128406525,
-0.09412162005901337,
-0.11259821... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Problem:Unha boca enriba dunha árbore e tes un idiota (risas) Doado de lembrar xa que unha árbore faladora é algo estúpido.
Solution: | Put a mouth on the top of the tree, that's "" idiot. "" (Laughter) Easy to remember, since a talking tree is pretty idiotic. | 8 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.04036093130707741,
1.390854835510254,
0.30670803785324097,
-1.1895099878311157,
-0.19105172157287598,
-1.4433276653289795,
0.531808614730835,
-0.36224067211151123,
-0.21067747473716736,
-0.4735795259475708,
-0.7834948301315308,
-0.39900821447372437,
-0.57747882604599,
0.7513284683227539... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប... | 先進地域での喫煙者の数は一定の値で固定しているか減少しているが、世界の人口の多くが住んでいて、すでに世界の喫煙者の84％を抱えている発展途上や過渡期の地域では上昇している。 | 6 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.05303973704576492,
0.6678898334503174,
-0.7424808740615845,
0.3092845678329468,
-0.472001314163208,
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0.2318735420703888,
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-0.46350207924842834,
-1.0908055305480957,
0.38301533460617065,
-0.732443630695343,
0.6518974304199219,
... |
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `... | no_flight
| 3 | NIv2 | task573_air_dialogue_classification | fs_opt | [
0.1886797994375229,
-0.035165779292583466,
-0.6556107997894287,
-0.10487890243530273,
0.47064003348350525,
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0.7330596446990967,
0.41974547505378723,
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0.6184006929397583,
0.4515344202518463,
-0.04905242472887039,
-0.3625163733959198,
-0.26104959845542... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no | 9 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.34219399094581604,
-0.01799759827554226,
0.34053024649620056,
0.4865560233592987,
-0.13036957383155823,
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0.6688135862350464,
1.0321664810180664,
0.023246992379426956,
0.5179417729377747,
0.6922422647476196,
-0.39544254541397095,
-0.19315436482429504,
-0.7508157491683... |
instruction:
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
question:
Premise: The ... | Entailment
| 9 | NIv2 | task1387_anli_r3_entailment | fs_opt | [
0.07943600416183472,
0.1659938395023346,
-0.512598991394043,
0.18773424625396729,
-0.1871163547039032,
-0.8229684829711914,
0.5726915597915649,
0.5878287553787231,
0.8035259246826172,
0.29915255308151245,
-0.6995082497596741,
0.8377704620361328,
-0.44742438197135925,
0.03164152801036835,
... |
Q: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: In 2015, a sequel to Son of Batman was released under the title of Batman vs. Robin. In 2016, a third movie was released under the title of Batman: Bad ... | Yes | 7 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.3532521724700928,
0.9217942357063293,
0.4970761835575104,
0.5803970694541931,
0.633086085319519,
0.4493284821510315,
0.9627743363380432,
0.230801522731781,
0.4873315691947937,
0.03189658001065254,
-0.11028391122817993,
0.5833424925804138,
-0.4868561625480652,
-0.17968761920928955,
-0.6... |
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 question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming yo... | b | 0 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.0020854920148849487,
0.4118090271949768,
-0.12462840974330902,
-0.09191647171974182,
0.4257224202156067,
-0.18524150550365448,
0.9960687160491943,
0.7878463268280029,
0.3329988420009613,
0.06569178402423859,
-0.47084853053092957,
0.01724235713481903,
-0.5721275806427002,
0.11654062569141... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener | 9 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.11906321346759796,
0.3181602358818054,
-0.30323296785354614,
-0.006343998946249485,
-0.20671114325523376,
-0.9413256645202637,
1.0684080123901367,
1.2087916135787964,
0.7993561029434204,
-0.3967564105987549,
-0.9250755310058594,
0.018472641706466675,
-0.7689589858055115,
0.15281942486763... |
instruction:
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
question:
Sentence-1: I hate that band.<sep>Sentence-2: I have heard of Alt J .
answer:
Yes
question:
Sentence-1: Some friends invited me out.<sep... | Yes
| 9 | NIv2 | task566_circa_classification | fs_opt | [
-0.10556907206773758,
0.4655364155769348,
-0.27847784757614136,
0.7924498915672302,
-0.20904920995235443,
-0.644813060760498,
0.6351358890533447,
0.24846579134464264,
0.060595691204071045,
0.549277126789093,
-0.23588597774505615,
-0.2608865201473236,
-0.7419098615646362,
-0.402589559555053... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Example: ولكن ماهي حقوق الإنسان ؟
Output: Mas o que são direitos humanos?
The Arabic sentence is correctly translated into Portugese, because the ... | No perfil de efeitos secundários, etc., queremos ver onde são activados esses genes. | 1 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.40371862053871155,
0.5798994302749634,
-0.4769958257675171,
-0.5059530735015869,
-0.8165825009346008,
-0.07722491025924683,
0.3568703234195709,
1.1275765895843506,
0.33942103385925293,
-0.08999284356832504,
-1.1530832052230835,
0.4546051025390625,
-0.8731909394264221,
-0.122048124670982... |
Instructions: In this task, you're given a passage that represents a legal contract or clause between multiple parties, followed by a question that needs to be answered. Based on the paragraph, you must write the index where the answer starts. If multiple answers seem to exist, write the index of the answer that is the... | 51945 | 3 | NIv2 | task598_cuad_answer_generation | zs_opt | [
0.16881906986236572,
0.2833845019340515,
-0.4020574688911438,
-0.19012698531150818,
0.49769455194473267,
-0.38919296860694885,
0.7638797760009766,
1.0273163318634033,
-0.4964713752269745,
0.5080804824829102,
-0.3622501492500305,
-0.033273518085479736,
-0.02114994451403618,
0.32207196950912... |
You will be given a definition of a task first, then some input of the task.
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression),... | Sports: Gelsenkirchen is home of the football club FC Schalke 04. | 1 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.4492691457271576,
1.1341028213500977,
-0.22331023216247559,
-0.26523417234420776,
0.4872314929962158,
0.3201701045036316,
1.3061401844024658,
-0.4849933981895447,
0.22061902284622192,
-0.23592884838581085,
-0.3116854429244995,
0.40447038412094116,
-0.8528509736061096,
-0.104768559336662... |
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".
Example input: Review: For a movie that gets no respect there sure... | yes | 3 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.39905786514282227,
0.028964253142476082,
0.15017518401145935,
0.45592761039733887,
0.5442258715629578,
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0.40421128273010254,
0.9467261433601379,
-0.20669202506542206,
-0.12094182521104813,
-0.39091756939888,
-0.3436831533908844,
-0.7400699257850647,
-0.41610223054885... |
Given the task definition and input, reply with output. In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the oper... | -4451 | 5 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.21022741496562958,
0.7397651672363281,
-0.7077862620353699,
0.18349623680114746,
-0.3101799190044403,
-0.16950418055057526,
0.25868430733680725,
1.0159823894500732,
0.67859947681427,
-0.11143192648887634,
-0.6658927202224731,
-0.24219538271427155,
0.10786031186580658,
0.1587756276130676... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Korean, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
서 섹스 (Sursex)와 랜싱 (Lancing) 대학은 1860 년 11 월에 브라이튼의 공립학교에서 축구 경기를 치른 것으로 기록됩니다.
... | Sussex und Lancing Colleges, die im November 1860 ein Fußballspiel bestritten haben, gelten als erste öffentliche Schulen in Brighton. | 1 | NIv2 | task786_pawsx_korean_german_translation | zs_opt | [
-0.48885834217071533,
0.80824875831604,
-0.12029710412025452,
-0.7390216588973999,
-0.07700735330581665,
-0.09764198958873749,
0.7648072242736816,
-0.000030347728170454502,
0.06704548746347427,
-0.7219409346580505,
0.36578190326690674,
0.3311302661895752,
-0.6669937372207642,
0.63042366504... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
[EX Q]: ingredients: '1/2 c. margarine or butter', '4 Tbsp. cocoa', '3 c. quick oats or less *', '2 c. sugar', '1/4 tsp. vanilla extract', '1/2 c. peanut butter', '1/2 c. milk', 'pinch of salt',<sep> directions: ... | Bailey's Irish Cream Recipe
| 6 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.3920595347881317,
0.9369689226150513,
-0.18299159407615662,
0.1621546894311905,
0.5407662987709045,
-0.13889434933662415,
0.6583200097084045,
0.8627094626426697,
-0.8677775859832764,
-0.2361760437488556,
0.30044904351234436,
-0.149152934551239,
-0.3961312472820282,
-0.12464027106761932,
... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Input: Consider Input: Prem... | Output: Entailment
| 2 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.9125101566314697,
0.46813035011291504,
-0.11127743124961853,
0.4335293173789978,
-0.31778180599212646,
0.09692763537168503,
0.6323674321174622,
0.8880153894424438,
0.6538025140762329,
-0.4625791609287262,
-0.7901970148086548,
0.3669174015522003,
-0.36956220865249634,
0.03902406245470047... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Q: O fată aleargă și înalță un zmeu.
A: | A girl running is flying a kite. | 4 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.2744259238243103,
0.9881914854049683,
-0.07767990231513977,
-0.1926226019859314,
0.16814319789409637,
-0.5327628254890442,
-0.0758843719959259,
0.8594417572021484,
0.19332975149154663,
0.29885149002075195,
0.02057606726884842,
0.12227660417556763,
-1.240154504776001,
-0.3120008409023285,... |
instruction:
Given a sentence in Spanish, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
question:
Ryan Sweeting ganó en la final 6 - 4, 6 - 3, contra Evans.
answer:
Ryan Sweeting gewann im Finale gegen Evans mit 6: 4, 6: 3.
quest... | Ryan Sweeting gewann im Finale gegen Evans mit 6: 4, 6: 3.
| 9 | NIv2 | task798_pawsx_spanish_german_translation | fs_opt | [
-0.3044288158416748,
1.2295379638671875,
0.6548830270767212,
-0.8036622405052185,
0.06246701627969742,
-0.9018015265464783,
0.15295857191085815,
0.4506615400314331,
0.10066217184066772,
-0.4440372586250305,
0.5439835786819458,
0.7379370927810669,
-0.78879314661026,
0.14246279001235962,
-... |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | negative | 6 | NIv2 | task525_parsinlu_movie_aspect_classification | fs_opt | [
-0.6613517999649048,
-0.03951716423034668,
0.20316851139068604,
0.11042234301567078,
-0.19736067950725555,
0.47769397497177124,
1.2382681369781494,
0.5956144332885742,
0.8054013252258301,
0.08102957159280777,
-0.31571513414382935,
-0.05383841693401337,
-0.11189518123865128,
0.2186813354492... |
Detailed Instructions: Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice:... | no | 9 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.6136764287948608,
0.6092165112495422,
-0.17369592189788818,
0.3104744255542755,
0.2563555836677551,
-1.7026516199111938,
0.7208523154258728,
0.5689805746078491,
-0.009339830838143826,
0.4752008318901062,
-0.08843675255775452,
-0.3615483045578003,
-0.30783069133758545,
-0.120986223220825... |
Given the task definition and input, reply with output. Generate a correct and concise answer for the question based on the words in the context.
Context : Arturo Corvalán Galaz (born September 1, 1978) is a retired male road racing cyclist from Chile.
Question : What gender is Arturo Corvalán?
| male | 5 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.8826866149902344,
0.5975358486175537,
-0.32707709074020386,
-0.018535904586315155,
-0.3124698996543884,
0.8004183173179626,
-0.2605835199356079,
0.7422792911529541,
0.6994161605834961,
-0.578608512878418,
-0.8695911169052124,
0.646512508392334,
-0.5713690519332886,
-0.13087278604507446,... |
instruction:
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 ... | [96, -43, 82, 40, 51, 151, -61, 5, 58]
| 9 | NIv2 | task122_conala_list_index_addition | fs_opt | [
-0.05882027745246887,
-0.1929977685213089,
-0.6758788824081421,
-0.39676550030708313,
-0.06393882632255554,
-0.4676356315612793,
0.9091594219207764,
0.5416715145111084,
-0.5617212653160095,
-0.07806739956140518,
-0.8125931024551392,
0.1040855348110199,
-0.424056738615036,
-0.08487813174724... |
Teacher: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community tar... | Offensive | 2 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.47175469994544983,
0.6537898778915405,
0.21431618928909302,
-0.00481761759147048,
-0.19384178519248962,
-0.780070424079895,
0.06337139755487442,
0.46104371547698975,
0.22957688570022583,
0.2911624014377594,
-0.44238099455833435,
0.28074684739112854,
-0.4681932032108307,
-0.8882420063018... |
Definition: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Input: The site collects your website activities for analytics or research... | User online activities | 2 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.8338598012924194,
-0.3382053077220917,
-0.6987780332565308,
0.419543981552124,
-0.6992294192314148,
-0.6214299201965332,
0.12737759947776794,
-0.09741358458995819,
0.4840053617954254,
0.7247703075408936,
0.024801040068268776,
0.07119931280612946,
-0.6261259317398071,
-0.1689703166484832... |
Instructions: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Input: Question1: How do I repair windows 8?, Question2: How can I repair Windows 8 online?
Output: | No | 3 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.3873891830444336,
0.24632450938224792,
-0.02517029456794262,
0.3058241605758667,
-0.1976170688867569,
-0.09378807991743088,
0.5158668756484985,
1.1465675830841064,
0.11949914693832397,
0.3608602285385132,
0.06439705193042755,
-0.01548286434262991,
-0.050114378333091736,
-0.1220397800207... |
Detailed Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable ... | यदि आप गायन सुनना चाहते हैं तो आप एक रेडियो पर बारी चाहिए. | 8 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
0.2245486080646515,
0.8766002058982849,
0.10186511278152466,
0.135118305683136,
-0.010311830788850784,
-0.11752786487340927,
0.3849998712539673,
0.9658972024917603,
-0.282511830329895,
-0.021909642964601517,
-0.23381289839744568,
-0.0463094599545002,
-0.2688819468021393,
0.0147504024207592... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjuncti... | VBN | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
-0.12946107983589172,
0.19812345504760742,
-0.40007394552230835,
0.33597832918167114,
-0.12345238029956818,
-0.23324155807495117,
0.7575585246086121,
0.5577797889709473,
-0.36224567890167236,
-0.08767787367105484,
-0.46184486150741577,
0.38088828325271606,
-0.1835908442735672,
0.0363922789... |
Q: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
As Liberals and Greens, we clearly have different opinions on how the world should look, but we are well on ... | Es evidente que como liberales y verdes tenemos diferentes concepciones del mundo, sin embargo, en nuestros objetivos estamos en gran medida de acuerdo y trataremos de hallar una solución razonable a nuestros problemas. | 7 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.5729711055755615,
0.6797877550125122,
0.18637630343437195,
-0.4654313623905182,
-0.2179308831691742,
-1.115461826324463,
0.6037831902503967,
0.05189095437526703,
0.3457059860229492,
-0.047971293330192566,
-0.07775745540857315,
-0.031038358807563782,
-0.2907639741897583,
0.22712317109107... |
Detailed Instructions: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a pr... | SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" | 8 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.768261194229126,
0.25243642926216125,
-1.029325246810913,
0.9895011186599731,
-0.35520756244659424,
-0.16408461332321167,
0.8313061594963074,
1.1537020206451416,
-0.4467558264732361,
0.6631996631622314,
-0.04001776874065399,
0.3105663061141968,
0.12827828526496887,
0.5398874282836914,
... |
instruction:
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnece... | He saw that the two were identical.so Devon found a real encyclopedia.
| 9 | NIv2 | task332_tellmewhy_answer_generation | fs_opt | [
0.12950707972049713,
-0.06099953502416611,
0.24137774109840393,
-0.6814751625061035,
-0.4918116629123688,
-0.3492637872695923,
0.14855694770812988,
0.14813512563705444,
0.22726085782051086,
0.22613000869750977,
-0.1648176610469818,
0.2643831968307495,
-0.3291533589363098,
-0.19529911875724... |
In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
the man craved a cigarette because it was... | not plausible | 0 | NIv2 | task392_inverse_causal_relationship | zs_opt | [
-0.5221197605133057,
1.0715900659561157,
0.9689040184020996,
-1.0599935054779053,
-0.44864559173583984,
-0.2179744392633438,
0.3348446488380432,
0.5638288259506226,
0.1836692988872528,
-0.09621609002351761,
-0.8835106492042542,
-0.17974641919136047,
-0.5441906452178955,
-0.4146679639816284... |
Q: Given a sentence in German, generate a new German 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 ... | Sie können Kaffeekanne ziehen, um Kaffee zu brauen. | 7 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
0.06410786509513855,
0.9623056054115295,
0.1238483339548111,
-0.3103380501270294,
0.05416407436132431,
-0.11241067945957184,
0.8748624324798584,
0.8839644193649292,
0.27588382363319397,
-0.47526681423187256,
-0.4463525414466858,
-0.1499299854040146,
-0.8396357893943787,
0.15469473600387573... |
Teacher: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical dependi... | non-geopolitical | 2 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.8235242366790771,
-0.2132686823606491,
0.8719959855079651,
-0.12539544701576233,
-0.6913908123970032,
-0.5479109287261963,
0.24995622038841248,
0.13354431092739105,
0.13049092888832092,
0.08733029663562775,
-0.5151923894882202,
-0.25237178802490234,
-0.2921472489833832,
-0.3736731112003... |
Definition: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: The color was way off on this product. It was more of a bluish purple instead of white (as compared against white on my monitor). The brightness was also too low, and the 'flash' on the iPhone shines brighter tha... | Negative Review | 2 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.5527750253677368,
-0.19188472628593445,
0.25225314497947693,
-0.8557544350624084,
0.054303042590618134,
-0.37426918745040894,
-0.035077910870313644,
0.7134023308753967,
0.333768755197525,
0.8268940448760986,
-0.16350552439689636,
-0.04756367579102516,
-0.2687819302082062,
-0.02347300201... |
TASK DEFINITION: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this c... | DT
| 8 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
-0.05833139643073082,
0.35118189454078674,
-0.0770789235830307,
0.22414535284042358,
0.12557199597358704,
-0.44679611921310425,
0.8516802787780762,
0.8506771326065063,
-0.18630079925060272,
-0.38392916321754456,
-0.47580355405807495,
0.5880846977233887,
-0.4534338712692261,
0.0796424373984... |
Detailed Instructions: 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 .
Problem:Statement: કાનેડીયા (તા. સતલાસણા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના... | ભારત | 8 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.3151726722717285,
1.118550419807434,
0.42934757471084595,
0.06511332839727402,
-0.5147323608398438,
-0.6080641746520996,
0.06834955513477325,
0.9803951382637024,
-0.44605448842048645,
-0.2406935840845108,
-0.5225972533226013,
-0.16602298617362976,
-0.22479474544525146,
-0.337173938751220... |
Given the task definition and input, reply with output. In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.... | A | 5 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.5950319766998291,
1.116273045539856,
-0.5491008162498474,
-0.09467387199401855,
0.23967894911766052,
-0.8255846500396729,
-0.5122944116592407,
0.7629450559616089,
0.06261426955461502,
0.44717010855674744,
-0.7347353100776672,
0.5532592535018921,
0.05131172016263008,
-0.6160112023353577,... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Problem:Computer analysis of the intrinsic membrane protein, myelin proteolipid, shows strong seque... | Analogous amino acid sequences in myelin protcolipid and viral proteins | 8 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.40211957693099976,
0.021927766501903534,
-0.48688870668411255,
-0.4961256682872772,
-0.22558069229125977,
-0.0012894070241600275,
0.18380051851272583,
0.2563653588294983,
0.8294646739959717,
-0.6455960273742676,
-1.1032236814498901,
0.20859679579734802,
-0.7352300882339478,
-0.262141466... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Problem:I made Roger feel terrified.
Solution: | male | 8 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.5407438278198242,
0.7254852652549744,
-0.46241140365600586,
-0.8223043084144592,
-0.20699338614940643,
-0.46203064918518066,
0.9023467302322388,
0.3827160596847534,
0.5418472290039062,
-0.3712880611419678,
-0.963397741317749,
-0.42493242025375366,
-0.7953904271125793,
-0.455652028322219... |
instruction:
Read the given story and classify it as 'imagined', 'recalled', or 'retold'. If a story is imagined, the person who wrote the story is making it up, pretending they experienced it. If a story is recalled, the person who wrote the story really experienced it and is recalling it from memory. If a story is re... | imagined
| 9 | NIv2 | task854_hippocorpus_classification | fs_opt | [
0.8761909008026123,
0.3109004497528076,
-0.4677566587924957,
-0.237634539604187,
0.45248788595199585,
-0.6708986163139343,
1.1967514753341675,
0.7016621828079224,
-0.1216629222035408,
0.4653659462928772,
0.5329916477203369,
0.12622837722301483,
-0.6242716908454895,
-0.016356930136680603,
... |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose t... | OTHER | 5 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.3253205418586731,
0.6954973936080933,
-0.1328151673078537,
0.3032052516937256,
-0.5010177493095398,
-0.14576882123947144,
1.1686618328094482,
0.5524120330810547,
0.19473722577095032,
-0.02183120884001255,
-0.5423282384872437,
0.576637864112854,
-0.3321039378643036,
-0.13542568683624268,... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the l... | 1, 2, 4, 8, 9, 12, 15, 19 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
0.06081215292215347,
0.18043005466461182,
-0.030489075928926468,
-0.8434798121452332,
0.16193608939647675,
-0.06770537048578262,
1.1652052402496338,
0.023897118866443634,
-0.38335445523262024,
0.43286585807800293,
-0.5883128643035889,
-0.1710377037525177,
0.16393734514713287,
-0.1785027533... |
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.
Q: The conversation with Andrew was dreadful.
A: | fear | 4 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.6521086692810059,
0.19469289481639862,
0.751205563545227,
-1.0371595621109009,
-0.5806983709335327,
-0.18949154019355774,
0.8904514908790588,
0.3827059864997864,
0.20857331156730652,
-0.2366822361946106,
-0.8898662328720093,
-0.8640943765640259,
-0.5163184404373169,
-0.09206297248601913... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Example Input: [-24.95, -48, -8... | [-26, 25]
| 3 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.21513232588768005,
0.3984130620956421,
-0.3669411540031433,
-0.34940457344055176,
-0.08195456117391586,
-0.42447495460510254,
1.1412827968597412,
0.40040454268455505,
-0.24906671047210693,
-0.2423955798149109,
-0.6983609199523926,
0.385511577129364,
-0.05388989672064781,
-0.582715868949... |
Given the task definition and input, reply with output. 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 b... | bee flying on a flower | 5 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.40172213315963745,
0.6842537522315979,
-0.33880937099456787,
0.28197890520095825,
-0.06519394367933273,
-0.8248533010482788,
0.06053799390792847,
1.0373432636260986,
-0.14014145731925964,
-0.11516185104846954,
-0.6479819416999817,
0.0849008709192276,
-0.1994650959968567,
0.3555845320224... |
Q: In this task, you are given books product reviews in German 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.
Viele Details . Dieser Reiseführer beschreibt das in letzter Zeit sehr angepriesene Reis... | POS | 7 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.7170959711074829,
-0.11550012230873108,
0.15188494324684143,
-0.3770351707935333,
0.28643202781677246,
0.337177574634552,
1.494649887084961,
-0.07843410223722458,
0.5260167121887207,
0.7251701951026917,
-0.3749261498451233,
0.14931562542915344,
-0.07191096246242523,
-0.24114079773426056... |
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 Spanish. Your job is to translate the Spanish sentence into Arabic.
A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a des... | هل هناك أية بيانات لإظهار أن مقاعد الأطفال هي في الواقع أقل فعالية ، أو هي فعالة كما هو حزام الأمان بالنسبة للاصابات الخطيرة ؟ لأن هذا يعزز من نظريتك نعم, هذا سؤال رائع, في بياناتي وفي بيانات أخرى غيرها لقد ألقيت نظرة على حوادث ولاية نيوجيرسي أجد اختلافات صغيرة جدا في الاصابة. | 0 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
0.0666329562664032,
0.20300742983818054,
-0.3279165029525757,
0.09942443668842316,
-0.549900472164154,
0.10084448009729385,
1.0644261837005615,
0.9135568141937256,
0.22178241610527039,
-0.10959380865097046,
-0.027167508378624916,
0.41916921734809875,
-0.7365491986274719,
0.2941417694091797... |
Definition: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: What conjecture holds that there is an infinite amount of consecutive primes, or wait, twin positives?
Output: | What conjecture holds that there is an infinite amount of twin positives? | 2 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.8912898898124695,
0.3785809874534607,
-0.020867841318249702,
-0.10802535712718964,
-0.3448340594768524,
0.04834340512752533,
-0.05447293445467949,
0.8975440859794617,
0.4656083583831787,
0.21679535508155823,
-1.4807438850402832,
-0.8564833998680115,
-0.7559586763381958,
0.29641920328140... |
In this task, you need to provide the correct option for a given problem from the provided options.
Q: Problem: share rs . 4320 among john , jose & binoy in the ration 2 : 4 : 6 . find the amount received by john ?
Options: a ) 900 , b ) 980 , c ) 1200 , d ) 1240 , e ) 1440
A: | e | 4 | NIv2 | task1421_mathqa_other | zs_opt | [
-0.3706572651863098,
0.9842692017555237,
-0.4813254773616791,
-0.07839224487543106,
-0.4505864977836609,
0.18204106390476227,
0.4363969564437866,
0.6780426502227783,
0.07949865609407425,
-0.34878844022750854,
0.16558563709259033,
0.39985913038253784,
-0.3318824768066406,
-0.177313372492790... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: انفصام الشخصية هو مرض في الدماغ.
Student: | La esquizofrenia es un trastorno cerebral. | 6 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.282340943813324,
0.10421070456504822,
0.12863922119140625,
-1.6376227140426636,
-0.3405575752258301,
-0.09765592217445374,
0.733697772026062,
0.6599408984184265,
0.7119916677474976,
-0.7118855118751526,
0.17499426007270813,
0.10332638025283813,
-0.8434845805168152,
-0.259263813495636,
... |
Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Input: The item shipped in an unsealed plastic bag within a brown cardboard shipping sleeve. Arrived with product ... | True | 3 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.8267401456832886,
-0.4816458225250244,
0.36064279079437256,
-0.5802649855613708,
-0.14802223443984985,
-0.4935007691383362,
0.3928835391998291,
0.5295597910881042,
-0.16924555599689484,
0.32901865243911743,
0.0022186054848134518,
0.18668417632579803,
-0.39294326305389404,
-0.41115701198... |
Detailed Instructions: 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 ... | Charlie's mom want(s) the yard clean >Motivates> Charlie's mom rakes the leaves | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.3542030453681946,
0.19723379611968994,
-0.09444790333509445,
-0.23109105229377747,
-0.3251189887523651,
-0.4607051610946655,
0.36858826875686646,
1.090125322341919,
-0.22460179030895233,
0.13207530975341797,
-0.7515466213226318,
-0.09970051795244217,
-0.44836944341659546,
0.062746495008... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | DISSIMILAR | 4 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.3258357644081116,
0.10653172433376312,
0.5012614727020264,
-0.6426191329956055,
-0.13507580757141113,
0.3306732177734375,
1.3193910121917725,
0.6613621115684509,
0.20947043597698212,
-0.27038735151290894,
-0.8247644305229187,
-0.3475482165813446,
-0.9736676812171936,
0.5367950797080994,... |
Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Solution: واستشهدت ببعض الرؤى في الختام. | 5 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.495211124420166,
0.3073238432407379,
-0.650779664516449,
-0.4641530513763428,
-0.6038047075271606,
-0.13345900177955627,
1.0871703624725342,
0.8345794677734375,
0.554751992225647,
-0.7057269811630249,
-0.6480047702789307,
0.4019721746444702,
-0.7270909547805786,
0.21439898014068604,
0.... |
Given the task definition and input, reply with output. In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
before the advent of the pocket calculator , it was the most commonly used calculation too... | before the pocket calculator it was the most used calculation tool in science and engineering. | 5 | NIv2 | task934_turk_simplification | zs_opt | [
-1.079225778579712,
1.3358705043792725,
-0.3560566306114197,
-0.49885737895965576,
-0.05903688818216324,
0.04674796387553215,
0.26932188868522644,
0.007746761664748192,
0.500397801399231,
-0.48510754108428955,
-0.8313174247741699,
0.6496281027793884,
-0.03999648243188858,
0.099527835845947... |
Part 1. Definition
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) ... | point in time | 7 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.532993733882904,
0.054574064910411835,
-0.3176804780960083,
0.049515508115291595,
0.29360121488571167,
-0.19526757299900055,
0.3991518020629883,
-0.002384600229561329,
0.064414843916893,
0.01843714341521263,
-0.04883357509970665,
0.09729889035224915,
-0.7734981775283813,
-0.1182518377900... |
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... | No | 8 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.13934367895126343,
0.07109472155570984,
0.24347862601280212,
0.07639269530773163,
0.0067463526502251625,
-0.7116690278053284,
0.551849901676178,
0.6738616228103638,
-0.5072435140609741,
0.20740742981433868,
-0.2996065020561218,
-0.5980727672576904,
-0.5029725432395935,
-0.312623143196105... |
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: religious or non-political religious on the top... | non-religious | 9 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.4378775358200073,
-0.13315153121948242,
0.06450571119785309,
0.5019127130508423,
-0.33885276317596436,
-0.8075057864189148,
-0.05704028159379959,
0.5854711532592773,
-0.06750118732452393,
0.22107577323913574,
-0.4259398579597473,
-0.15750306844711304,
-0.513556957244873,
-0.531201839447... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
--------
Question: Hey Jeremy L. I didn't know how to email this to you but......\n\nFormer owner of Buono's Pi... | NEGATIVE
| 7 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.43920502066612244,
-0.2288874387741089,
-0.31340983510017395,
0.17085689306259155,
0.17836441099643707,
-0.567834734916687,
0.8100826740264893,
0.8107184171676636,
0.13980905711650848,
-0.14560097455978394,
0.7208447456359863,
0.8828321695327759,
-0.12918943166732788,
0.2260408401489257... |
Teacher:In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Teacher: Now, understand the problem? Solve this instance: ... | Returning an Item at the Store. | 6 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.10846944153308868,
0.45892518758773804,
-0.06838122010231018,
-0.23084469139575958,
0.10885820537805557,
-0.11700788140296936,
0.05610014498233795,
0.519729733467102,
-0.17252299189567566,
-0.09053817391395569,
-0.381151020526886,
0.03679529204964638,
-0.7348897457122803,
-0.25050345063... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Q: Someone's fearful gaze looks up. He
A: | trembles as a breeze brushes over the island's trees. | 4 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.39233916997909546,
1.3234846591949463,
0.37401193380355835,
-0.6070664525032043,
-0.3472522795200348,
-0.4072002172470093,
0.3140413761138916,
0.49539631605148315,
0.20891693234443665,
-0.011069241911172867,
-0.8605673313140869,
-0.16155868768692017,
-0.9011416435241699,
-0.6473940014839... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Example Input: 我々は磁界の中で暮らしているのです
Example Output: אנחנו חיים בשדה מגנטי.
Example Input: つまり私たちの国はより豊かになり企業もより効率的になっていますがより多くの仕事を生み出すことはなく全体として賃金も増えていません
Example Output: זה אומר שהמדינות שלנו הולכות ומתעשרות, החברות שלנו ה... | אני רוצה לדבר על הדרך שבה חושבים על מגמות ההתפתחות בטכנולוגיות אני קורא לזה תורת חיזוי העתיד הטכנולוגי הכללית בכל אופן תורת חיזוי בקטן
| 3 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.43759411573410034,
0.4850831925868988,
-0.4175224304199219,
-0.08759376406669617,
-0.028811175376176834,
-0.8155838251113892,
-0.09515140950679779,
-0.10544312000274658,
0.19338014721870422,
-0.12116766721010208,
-0.7828772068023682,
0.33589982986450195,
-0.5030055046081543,
0.109671071... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
PROBLEM: Sentence 1: oh that's quite reasonable Sentence 2: Th... | yes
| 8 | NIv2 | task199_mnli_classification | fs_opt | [
-0.9325062036514282,
0.4942147433757782,
0.6205148696899414,
-0.163041353225708,
-0.015019508078694344,
-0.4272071123123169,
0.5629162788391113,
1.1275241374969482,
0.6028797626495361,
0.11126440763473511,
-0.6607646942138672,
-0.30435457825660706,
-0.4462101459503174,
0.25129997730255127,... |
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 such that it seamlessly connects with the rest of the story.
Title: Mattress Problems. Sentence 1: Miles was moving across town to a new house. Sentence 2: He tied his mattres... | He was able to get it to his new house without it falling again. | 0 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
0.07237488776445389,
1.2624640464782715,
-0.07502105832099915,
-0.3644234538078308,
-0.4745830297470093,
0.14023752510547638,
0.5412935018539429,
0.5693250894546509,
-0.15886177122592926,
-0.28987669944763184,
-0.8236203193664551,
0.005018317140638828,
-0.17880353331565857,
0.2656727433204... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Darius and the GP have undertaken the rituals they believe in. | Plural | 0 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.3763360977172852,
0.8519765734672546,
-0.05391392856836319,
-0.3224312961101532,
-0.7544430494308472,
-0.5778828859329224,
1.0383245944976807,
-0.27462440729141235,
0.10899519920349121,
-0.14403901994228363,
-0.4935809075832367,
0.5320016741752625,
-0.5095077753067017,
0.048216138035058... |
Q: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. F... | annoyed | 7 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.0800764262676239,
0.20560279488563538,
0.280250608921051,
-0.619164228439331,
0.006187308579683304,
-0.36285600066185,
0.46924299001693726,
0.703742504119873,
0.5360985994338989,
-0.25421226024627686,
-0.1805507242679596,
0.05450712889432907,
-0.49616286158561707,
-0.021264314651489258,
... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | Output: no
| 2 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.12730646133422852,
0.35872840881347656,
0.4854854643344879,
0.17149558663368225,
-0.0456603467464447,
-0.6978093385696411,
1.0072780847549438,
0.459915429353714,
-0.019824476912617683,
0.6008248329162598,
0.25512218475341797,
-0.5353327989578247,
-0.6636114716529846,
-0.7963186502456665... |
Q: 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.
First-order factoid question answering assumes that the question can be answered by a single fact in a knowledge base (KB). While this does not seem like a challengi... | Simple and Effective Question Answering with Recurrent Neural Networks | 7 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.15191693603992462,
0.12511277198791504,
-0.05439102277159691,
-0.37862515449523926,
-0.452950656414032,
0.0192898940294981,
0.8677331209182739,
0.47233349084854126,
-0.02377014234662056,
-0.04816877841949463,
-0.9810784459114075,
-0.5455259084701538,
-0.9200780391693115,
0.6020827293395... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Q: Sweet MIA Malkova Lesbian Facesits on Red
A: | తీపి MIA Malkova లెస్బియన్ Annabel ఎర్ర | 9 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.13045790791511536,
0.11959115415811539,
0.32422083616256714,
-0.3409847021102905,
-0.13589094579219818,
-0.271159291267395,
-0.6401945948600769,
-0.25902441143989563,
0.14972245693206787,
-0.11964330077171326,
-0.021344773471355438,
0.030483435839414597,
0.6086267232894897,
-0.562909960... |
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".
--------
Question: Reviews: This screen protector is horribl... | False
| 7 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.31940948963165283,
0.41110214591026306,
-0.40295445919036865,
-0.537773072719574,
-0.41807490587234497,
-0.259325236082077,
0.19202947616577148,
1.4371979236602783,
-0.1552724540233612,
-0.024105746299028397,
-0.3632486164569855,
0.3829925060272217,
-0.37018346786499023,
0.3765001296997... |
In this task, you are given a positive review and your task is to convert it to a negative review by making minimal changes. Avoid changing the context of the review.
One example is below.
Q: all around great place to grab a drink or two .
A: all around bad place to grab a drink or two .
Rationale: The output converts ... | dr hall was not kind nor gentle | 9 | NIv2 | task928_yelp_positive_to_negative_style_transfer | fs_opt | [
-0.6711553335189819,
1.496681809425354,
0.17598310112953186,
-0.23531971871852875,
0.04372427240014076,
-0.6665208339691162,
0.3001804053783417,
0.12600281834602356,
0.5996106863021851,
0.05760469660162926,
-0.3489522635936737,
0.04688064008951187,
-0.5275643467903137,
0.18646246194839478,... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: Home Secretary Theresa May is due to make a statement on the incident to the Hou... | No | 0 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.6041631698608398,
0.10318630188703537,
0.2383657693862915,
0.4743707776069641,
-0.014819277450442314,
-0.8290992975234985,
-0.4316038489341736,
0.6730344295501709,
-0.3583563566207886,
0.4077807366847992,
-0.035567477345466614,
0.5270372629165649,
-0.05524156242609024,
0.073842495679855... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Example Input: Poles parts of the planet does solar energy have difficulty reaching.
Example Output: What parts of the planet does solar energy have difficulty reaching?
Example Input: Ice masses, acquife... | Which of these is an example of liquid water?
| 3 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.545927107334137,
1.1988283395767212,
-0.4019157588481903,
-0.6723048686981201,
-0.6302382946014404,
-1.8611676692962646,
-0.1083054393529892,
0.17156982421875,
-0.1841985583305359,
-0.16763858497142792,
0.19893112778663635,
0.24056580662727356,
-0.907924473285675,
-0.528935432434082,
-... |
Construct a question that every answer in the list is correct and reasonable for it.
Example Input: money, clothes, appearance, homes, cars, food, friends
Example Output: name something specific snobs are snobbish about.
Example Input: water, knife
Example Output: name something a cyclist would bring with him other t... | which first lady stated, "i don't think there are any men who are faithful to their wives"?
| 3 | NIv2 | task821_protoqa_question_generation | fs_opt | [
-0.47941553592681885,
0.7442138195037842,
-0.5041812658309937,
0.45166200399398804,
-0.008974552154541016,
-0.03913605213165283,
0.5633310079574585,
-0.07109346985816956,
0.2514312267303467,
0.036300599575042725,
-0.24556809663772583,
0.49073052406311035,
-0.6652255058288574,
-0.5735692977... |
TASK DEFINITION: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are ... | he
| 8 | NIv2 | task1518_limit_answer_generation | fs_opt | [
-0.020855039358139038,
0.5220668911933899,
-0.23495450615882874,
0.06907735764980316,
-0.33638131618499756,
-0.18933869898319244,
0.6602210998535156,
-0.12251278012990952,
0.11860479414463043,
0.043329957872629166,
-0.5086962580680847,
-0.2207922339439392,
-0.27528542280197144,
-0.17265307... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: exbWqxXWTYBdXLcRD, aPXxXWTYBdXLcykj
Student: | b, c, d, e, l, q, r, t, w, x, y | 6 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.43594658374786377,
0.2378074675798416,
-0.023689474910497665,
-0.3273008465766907,
-0.18526577949523926,
-0.014476388692855835,
0.7572230100631714,
0.09259800612926483,
-0.20726977288722992,
-0.30551084876060486,
-0.25299501419067383,
-0.3408317565917969,
0.1636343002319336,
-0.78848761... |
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]: 3, ['1563', '389', 'S', '871', 'h', 'o']
[A]: 871, h, o
[Q]: 6, ['8321', '1279', 'O', '395', 'z', 'E', 'l', ... | 8647, 6027, t, c, x, x, 3569, 1933, w, 2585, K, 1703
| 5 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.05235309153795242,
-0.15554025769233704,
-0.2580341398715973,
-0.24174785614013672,
-0.11929766833782196,
-0.6586309671401978,
0.658808708190918,
0.5918682813644409,
-0.5370724201202393,
0.1540762335062027,
-0.7788723707199097,
0.20457957684993744,
0.17889967560768127,
0.1890540719032287... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Pero puedo seguir contándoles cómo evolucionamos historias y cómo las historias, en efecto, son lo que somos nosotros y cómo esto se traduce en la... | Mógłbym wam jeszcze tak długo opowiadać o tym, jak rozbudowujemy opowieści i o tym, że opowieści są faktycznie tym, czym jesteśmy my i o tym, jak zostają one "" przetłumaczone "" na tą konkretną dziedzinę sztuki, w której działam, czyli film. | 1 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-1.324657678604126,
0.8206078410148621,
0.060360461473464966,
0.3703322410583496,
-0.21344104409217834,
0.0923527181148529,
0.13399800658226013,
0.1237388402223587,
0.15414944291114807,
0.3090117573738098,
0.35324037075042725,
-0.009291142225265503,
-0.8197221755981445,
0.27840059995651245... |
You will be given a definition of a task first, then some input of the task.
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A... | parlor | 1 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | zs_opt | [
0.4739916920661926,
0.8322528600692749,
-1.0454542636871338,
0.6532347202301025,
-0.22980669140815735,
0.3468821942806244,
1.052119493484497,
0.3097318112850189,
0.3739646375179291,
-0.17898985743522644,
0.2741454839706421,
0.16606858372688293,
-0.08392493426799774,
0.2306429147720337,
0... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | Output: 21
| 2 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.8608964681625366,
1.2196159362792969,
-0.04411802068352699,
-0.7160186767578125,
-0.03960587829351425,
-0.5984336137771606,
1.351737141609192,
0.07482625544071198,
0.24080559611320496,
-0.6328108310699463,
0.09406444430351257,
0.05684176832437515,
-0.9301509857177734,
-0.5993849635124207... |
Teacher: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Teacher: Now, understand the problem? If you are ... | feef | 2 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.30300599336624146,
0.9766808748245239,
0.1999904066324234,
-0.5826575756072998,
0.006959027610719204,
-0.4243282675743103,
1.0665414333343506,
-0.014342316426336765,
-0.3082317113876343,
-0.13009241223335266,
-0.6886126399040222,
-0.12385905534029007,
-0.833373486995697,
-0.111676231026... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Primo: spettegolare,
Student: | Primeiro, rexoubar. | 6 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.5226736068725586,
0.3886730670928955,
0.07292482256889343,
-1.3424707651138306,
-0.3827131390571594,
-1.0420513153076172,
-0.3596512973308563,
0.22617846727371216,
0.2968480885028839,
-0.2181486189365387,
-0.04875408858060837,
-0.025347018614411354,
-1.1988894939422607,
-1.2157714366912... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: - czyli przez swego rodzaju sieci sytuacji niezerowych i tam, gdzie można się spodziewać magicznego funkcjonowania złotej reguły i współczucia.
A: | So, kind of webs of non-zero-sumness are where you would expect compassion and the golden rule to kind of work their magic. | 4 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-1.0885848999023438,
0.43958914279937744,
-0.23194071650505066,
-0.6484376192092896,
-0.1856706589460373,
0.19946503639221191,
0.9195550680160522,
-0.4125955104827881,
-0.05870367959141731,
-0.28359729051589966,
-0.2733441889286041,
0.43080922961235046,
-0.38861533999443054,
-0.22109599411... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Q: فاصله دو جایگاه فروش بنزین در کنار یک جاده ۵۷ کیلومتر است. اتومبیلی از یک جایگاه با سرعت متوسط ۵۷ کیلومتر در ساعت حرکت میکند پس از ۲۰ دقی... | C | 4 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.36880674958229065,
0.15674033761024475,
0.12916436791419983,
-0.12221011519432068,
-1.089637279510498,
-0.23885096609592438,
0.9176222085952759,
0.725549042224884,
0.4119829535484314,
-0.06770859658718109,
-0.6328692436218262,
-0.19628022611141205,
-0.25205719470977783,
0.15564168989658... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D".... | D | 8 | NIv2 | task309_race_answer_generation | zs_opt | [
0.8240234851837158,
0.23068338632583618,
-0.491168737411499,
0.20760639011859894,
0.2570887804031372,
-0.8074076771736145,
0.7162865996360779,
0.7615070343017578,
-0.30958718061447144,
0.21611379086971283,
-0.18280161917209625,
0.14435599744319916,
-0.45944052934646606,
0.09499208629131317... |
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