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 |
|---|---|---|---|---|---|---|
Given the task definition, example input & output, solve the new input case.
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Example: hNarAik
Output: hNrk
The three vowels in the input '... | kGfWSQSHp | 1 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.4574415683746338,
0.8948162794113159,
-0.10235795378684998,
-0.5813698768615723,
0.3807540833950043,
-0.3460766673088074,
0.40955859422683716,
0.42992180585861206,
0.06694949418306351,
-0.5327845215797424,
-0.22161051630973816,
-0.34411776065826416,
0.3322700560092926,
-0.916521847248077... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतलेले दिसते. तर आंध... | Solution: महाराष्ट्रातील | 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.2820097804069519,
0.4228072464466095,
0.23254996538162231,
-0.446410596370697,
-0.22593408823013306,
-0.47701597213745117,
0.8781777620315552,
1.445143699645996,
-0.6663148403167725,
-0.2741543650627136,
0.3959417939186096,
0.4239371120929718,
-0.14608809351921082,
0.015893295407295227,
... |
Detailed Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia pa... | Fact1: Elijah Cummings died on October 17th, 2019. Fact2: It is not possible, or legal, for a dead person to cast a vote in a presidential election. | 9 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.23093341290950775,
0.17907685041427612,
-0.02044900506734848,
0.4475058615207672,
-0.28844887018203735,
-1.1073682308197021,
0.3675960600376129,
0.6701105833053589,
-0.33415845036506653,
0.5581814050674438,
-0.008717017248272896,
0.5135945677757263,
-0.17181366682052612,
-0.345997959375... |
Teacher:Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Teacher: Now, understand the problem? ... | 8 | 6 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.3705497682094574,
0.13612857460975647,
0.1293214112520218,
0.3898466229438782,
-0.38069140911102295,
-0.5648707151412964,
0.11612159013748169,
-0.05653832480311394,
-0.4522210359573364,
-1.0974185466766357,
-0.5673465728759766,
0.5365328788757324,
-1.2478394508361816,
-0.427022874355316... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: We frame Question Answering as a Reinforcement Learning task, an approach that we call Active Questio... | Ask the Right Questions: Active Question Reformulation with Reinforcement Learning | 6 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.26467975974082947,
0.030339233577251434,
0.41673022508621216,
-0.2129824459552765,
-0.05110486224293709,
0.15700924396514893,
0.8529094457626343,
0.8703024387359619,
-0.08138172328472137,
0.1414516270160675,
-0.6690188646316528,
-0.5223098993301392,
-0.970698356628418,
-0.18151453137397... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Input: على الرغم من تعدد المجالات, الفيزياء الفلكية على سبيل المثال أو علم الوراثة أو المناعة او علم الأحياء المجهرية أو الصحة العامة إلى علوم جسم الإنسان إلى الصحة العامة و علوم البيئة
Output: | Wśród różnych dziedzin, jak n.p. astrofizyka, genetyka molekularna, immunologia, mikrobiologia, zdrowie publiczne, czy nowa dziedzina - ludzkie ciało jako symbiont, aż po naukę o środowisku, | 2 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-1.570587158203125,
0.9121719598770142,
-0.18906168639659882,
-0.9084376692771912,
-0.7558119297027588,
-0.06895796209573746,
0.6852794885635376,
-0.6872367262840271,
0.7352592945098877,
-0.7773860096931458,
-0.8299394249916077,
0.8528972864151001,
-0.6801044344902039,
0.40231531858444214,... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Cuándo naufragó el Kursk? | 9 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.9137324094772339,
0.17199847102165222,
-0.6226000189781189,
-0.0024290340952575207,
0.42221203446388245,
0.14749400317668915,
0.930706262588501,
0.9951314330101013,
-0.03663935512304306,
0.007707849144935608,
-0.2691120505332947,
0.23944902420043945,
-0.6424622535705566,
0.33585941791534... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: BA: To ciekawe pytanie.
A: | این خیلی جالب است. | 4 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.2526375651359558,
1.0016095638275146,
0.4042018949985504,
0.5690908432006836,
-0.040626268833875656,
-0.06831332296133041,
1.8633462190628052,
-0.7383060455322266,
0.41947874426841736,
-0.1378365457057953,
-1.1502882242202759,
0.24682271480560303,
-0.6272642016410828,
0.656663715839386,... |
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 and you have to answer the question based on your knowledge. Your answers should be as short as possible.
What 1962 film script is the playwright for The Chase best known for ?
Output: | To Kill a Mockingbird | 1 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.805871844291687,
1.645747184753418,
0.23350781202316284,
0.3638187050819397,
-0.02149464562535286,
0.22570300102233887,
0.6153110265731812,
0.1524074673652649,
-0.15918657183647156,
-0.43942004442214966,
0.09608776867389679,
-0.11084504425525665,
-0.6819630861282349,
0.5540154576301575,... |
Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the even... | No | 3 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.011918723583221436,
0.2010905146598816,
0.41429603099823,
-0.3009587228298187,
-0.37966853380203247,
-1.3234403133392334,
1.2350454330444336,
0.5791378021240234,
-0.7014127969741821,
-0.4245004653930664,
-0.1152334064245224,
-0.20915508270263672,
-0.749459981918335,
0.2958827316761017,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Example: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocem... | Mas não era simples. | 1 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.08564279228448868,
1.1026588678359985,
-0.028129300102591515,
-0.15550827980041504,
0.17520347237586975,
-0.0735553726553917,
-1.015313744544983,
1.7498741149902344,
-0.40391677618026733,
-0.007249439600855112,
-0.5131586194038391,
-0.2273937165737152,
0.20606261491775513,
-0.4972184896... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
who won the all england badminton champ... | Rudy Hartono | 0 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.18782632052898407,
1.5079209804534912,
0.06725998967885971,
-0.8563410639762878,
-0.005930190905928612,
-0.7727468013763428,
1.0971362590789795,
0.0387829914689064,
0.6500327587127686,
-0.6445935964584351,
-0.5523980855941772,
1.30576491355896,
-0.8309602737426758,
0.14471732079982758,
... |
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 individual's belief does not match reality, and the third is when an individual has a ... | red_box
| 6 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.15182892978191376,
-0.9106643795967102,
-0.665820837020874,
-0.256783664226532,
-0.6564896106719971,
-0.635755717754364,
-0.30093705654144287,
0.9219720363616943,
-0.16603076457977295,
-0.3054569661617279,
-0.17244945466518402,
0.6291036605834961,
0.08773539215326309,
0.08675268292427063... |
In this task, you need to replace a letter in the sentence with another given letter.
Q: Sentence: 'vita mix blender with something in it already blended'. Replace the letter 'b' with 'a' in the sentence.
A: vita mix alender with something in it already alended
****
Q: Sentence: 'a large clock on the top of pole in t... | j pljne thjt is flying high jbove the power lines
****
| 4 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.005818428471684456,
0.42226123809814453,
-0.37802886962890625,
-0.23113873600959778,
0.32023704051971436,
-0.38650327920913696,
0.34557607769966125,
0.1752927005290985,
0.40934309363365173,
-0.5833820104598999,
-0.33929479122161865,
0.017175614833831787,
-0.03407305106520653,
0.207007706... |
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).
My brother told us all about the recent serious events. | male | 0 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.5089328289031982,
0.7177391648292542,
-0.7522080540657043,
-0.6291722059249878,
-0.5653668642044067,
-0.6983240842819214,
0.44277071952819824,
0.34268319606781006,
1.1470978260040283,
0.04726225137710571,
-1.1807606220245361,
-0.0456046387553215,
-0.5247483253479004,
0.2146734893321991,... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Part 2. Example
این یک خانه ی اسکیمو می شود.
Answer: Così diventa un igloo.
Explanation: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Part 3. Exercise
صبر کنید ... | Aspetti che io mi sposti e che chiuda gli occhi. | 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.005563921295106411,
0.5289849042892456,
-0.01687813177704811,
-0.3048625588417053,
-0.14314165711402893,
-0.5174375772476196,
0.6665115356445312,
-0.04329507797956467,
0.326611191034317,
-0.4951956272125244,
-0.8171302080154419,
0.7700159549713135,
-0.5673173666000366,
0.360976278781890... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
--------
Question: Text: i taught it it would be a festive thing for me to send a snapchat for movember t... | not so tifu
| 7 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.5063006281852722,
0.15633951127529144,
-0.5570113658905029,
-0.5030203461647034,
0.25799378752708435,
-0.1742340624332428,
0.8709545731544495,
0.9101581573486328,
-0.10051906108856201,
0.008090708404779434,
-0.3352338671684265,
0.19354403018951416,
-0.711378812789917,
-0.0418448373675346... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Teacher: Now, understand the problem? Solve this instance: To jest 1: 1 model prawdziwej kreatury.
Student: | This was the full size of the original creature. | 6 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.660908579826355,
0.4922412633895874,
0.3628748059272766,
-0.6040261387825012,
-0.14960286021232605,
-1.106418251991272,
0.5834678411483765,
0.06692694872617722,
0.22401508688926697,
-0.7221095561981201,
0.12537771463394165,
-0.00818649586290121,
-0.49164721369743347,
-0.4453120827674866... |
Definition: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Input: Who is a star of the 2001 film whose song is co-sung by KK ?
Output: | Sunil Shetty | 2 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.2305791974067688,
1.23146653175354,
-1.0216574668884277,
-0.475481778383255,
-0.22085942327976227,
0.27520641684532166,
0.9477222561836243,
-0.4811844527721405,
0.11772860586643219,
-0.02462112158536911,
-0.5809125304222107,
0.030880747362971306,
-0.704558253288269,
0.2997719645500183,
... |
Detailed Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the s... | entails | 9 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.06586657464504242,
0.4385572075843811,
0.11127376556396484,
-0.5183956623077393,
-0.5458333492279053,
-1.3726202249526978,
0.4260866045951843,
0.6596200466156006,
0.8589072227478027,
-0.2562235891819,
-0.6551838517189026,
0.0005618664436042309,
-0.14213141798973083,
-0.13657626509666443... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
[Q]: Is AUTHOR wrong in the post ? POST : This has been around a week from beginning to end today ... | yes
| 5 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.552291989326477,
-0.36443471908569336,
-0.5199090242385864,
0.12470630556344986,
-0.06807570159435272,
0.09104035794734955,
1.053041696548462,
1.0301357507705688,
0.0034845354966819286,
-0.27025604248046875,
0.12925438582897186,
0.4635116457939148,
-0.6826717853546143,
-0.095651060342788... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Ex Input:
Solo 11 persone sopravvissero a quel naufragio. Su 500.
Ex Output:
Solo 11 personas sobrevivieron en ese naufragio, de las 500.
Ex Input:
Conducono calore lungo la loro lunghezza e non attraverso la loro largh... | Por ejemplo, tomemos "" área "".
| 1 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5363609790802002,
0.3634614944458008,
-0.5968636274337769,
-0.3630843460559845,
-0.7600661516189575,
-1.25090491771698,
0.31775617599487305,
1.0810760259628296,
-0.3783072531223297,
-0.049309588968753815,
-0.13527211546897888,
0.1414521038532257,
-0.10524482280015945,
0.1719216406345367... |
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
Example Input: There have been over 400 recorded versions of the song, performed by many artists. It was featured on the soundtrack of the 1986 film Stand by Me, and a corresponding music video wa... | can i carry a gun in tennessee without a permit?
| 3 | NIv2 | task381_boolq_question_generation | fs_opt | [
0.22815805673599243,
0.19039490818977356,
-0.40096619725227356,
0.1580873280763626,
0.5890195965766907,
-0.17507268488407135,
0.4217031002044678,
1.0589015483856201,
-0.06075507402420044,
0.38892191648483276,
-0.42080241441726685,
0.2914545238018036,
-0.33654066920280457,
-0.56792783737182... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Example input: PersonX keeps ___ in mind
Example output: to remem... | to not be alone | 3 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.4350529909133911,
0.4036349952220917,
0.19495627284049988,
-0.4239058196544647,
-0.2592669427394867,
-0.7530103921890259,
1.0196735858917236,
0.6955510973930359,
-0.20741382241249084,
-0.35279279947280884,
-0.18769600987434387,
-0.15926720201969147,
-0.8809374570846558,
0.46176630258560... |
Given the task definition and input, reply with output. Given a sentence in English, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Taieri is a former parliamentary electorate in the Otago region of New Zealand , from 1866 to 1911 ... | Taieri est un ancien électorat parlementaire de la région néo-zélandaise d'Otago, de 1866 à 1911. | 5 | NIv2 | task778_pawsx_english_french_translation | zs_opt | [
0.9342957139015198,
0.7327120900154114,
0.14386293292045593,
0.19222602248191833,
-0.04186972603201866,
-0.853386640548706,
0.5684834718704224,
-0.3662625551223755,
0.4164968430995941,
0.5989701151847839,
0.027480270713567734,
0.001962607726454735,
-0.6150599718093872,
0.00513322651386261,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Więc tu leży wyzwanie dla tych, którzy jak ja dużo współpracują z rządem. | אז הרי אחד האתגרים, לדעתי, לאנשים כמוני, אשר עושים הרבה עבודה עם הממשלה. | 0 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-1.2970694303512573,
0.36267828941345215,
-0.293722540140152,
-0.5079286098480225,
-0.10149746388196945,
0.1490904688835144,
1.3969895839691162,
-0.1909215748310089,
0.6174801588058472,
-0.5328031182289124,
-0.6685632467269897,
-0.2198399156332016,
-0.7729426622390747,
0.5264612436294556,
... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Problem:English sentence: Thanks for the reply.
Solution: | Salamat sa reply. | 8 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.059099532663822174,
0.25331342220306396,
0.21453577280044556,
-0.6612606048583984,
0.4721473455429077,
-2.2007455825805664,
0.9702328443527222,
0.13805320858955383,
0.40015771985054016,
-0.25485339760780334,
0.22105509042739868,
0.1384311020374298,
-1.054577350616455,
0.10206210613250732... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: از تشکیل این جلسات مشابه، که ممکن بود توجه پلیس را جلب کند، اجتناب شود.
Student: | very late meetings, which might attract the notice of the police, should be avoided. | 6 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.12980246543884277,
0.3300185799598694,
-0.16414517164230347,
-0.196039080619812,
-0.36104288697242737,
-0.1814718395471573,
0.6121813058853149,
0.4152734577655792,
0.47115153074264526,
0.07780291885137558,
-0.1357392966747284,
0.5460249781608582,
-0.5692434310913086,
-0.0883048921823501... |
Detailed Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning.... | Completion C | 8 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
0.02518729865550995,
0.9089447259902954,
-0.4497267007827759,
-0.6503968238830566,
-0.28087538480758667,
-0.48025503754615784,
0.9723240733146667,
0.24547074735164642,
0.4506811499595642,
-0.29261478781700134,
-0.8967047929763794,
0.10309650003910065,
0.06026284396648407,
0.145218417048454... |
Teacher: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambig... | joy | 2 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.15568575263023376,
-0.21190866827964783,
0.08137382566928864,
-0.19840854406356812,
-0.0823468491435051,
-0.1744777262210846,
0.4943024218082428,
0.9079787731170654,
0.3592841625213623,
0.1902572512626648,
-0.2619783878326416,
0.3887367248535156,
0.3893190920352936,
0.5145167112350464,
... |
Given the task definition and input, reply with output. In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
['w', '... | b, c, d, g, i, k, n, p, t, u, w, z | 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.6367352604866028,
0.4277555048465729,
0.17031273245811462,
-0.23832392692565918,
0.5466020107269287,
0.16638678312301636,
0.9728696346282959,
-0.01226883102208376,
-0.5753872990608215,
0.28583744168281555,
-0.4591916799545288,
-0.4191285967826843,
0.13624320924282074,
-0.332510292530059... |
Detailed Instructions: 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.
Q: [-16, ... | [-16, -56, 60] | 9 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.22675403952598572,
0.3817180395126343,
-0.04800869897007942,
-0.8032424449920654,
-0.13679732382297516,
-0.7853055596351624,
1.3654148578643799,
-0.001446563983336091,
0.09284807741641998,
0.07772468775510788,
-0.24665427207946777,
0.49011996388435364,
-0.07379961758852005,
0.0383446067... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Example: i don't work i could take your shift i am a student
Example solution: other
Example explanation: In this dialogue someone is informing another pers... | Solution: angry | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.9058797359466553,
0.38633212447166443,
0.4836808443069458,
-0.78801429271698,
-0.14414489269256592,
-0.38190746307373047,
0.6116971969604492,
0.5363126993179321,
0.7543926239013672,
0.0445983000099659,
-0.09668686985969543,
-0.5336247682571411,
-0.4554544687271118,
-0.09534773230552673,... |
Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Input: jelly, bread, crackers, bananas, celery
Output: | name something you eat with peanut butter: | 3 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.190955251455307,
1.0857897996902466,
-0.1437588632106781,
0.2738780975341797,
0.08223538100719452,
-0.3903319835662842,
-0.2524467706680298,
-0.01579642854630947,
-0.36056843400001526,
-0.7052915096282959,
-0.1526433229446411,
-0.1539921760559082,
-0.3481484055519104,
-0.7919644713401794... |
You will be given a definition of a task first, then some input of the task.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: ... | ¿Por cuánto se cree que comprarán JP MORGAN? | 1 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.4186246693134308,
0.3283374607563019,
-0.24891118705272675,
0.44229453802108765,
0.4130728244781494,
0.6352754831314087,
-0.10151822119951248,
0.5913422107696533,
0.35301247239112854,
-0.0844646766781807,
0.03820943459868431,
-0.219258651137352,
-0.24658122658729553,
-0.09994345903396606... |
Definition: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Input: ،وظيفتك هي فرض القانون ومع ذلك لقد تجاهلتي ذلك مراراً وتكراراً
Output: | Your job is to enforce the law, yet you have repeatedly ignored it. | 2 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.2953883409500122,
0.5610535144805908,
-0.025910750031471252,
-0.8067941069602966,
-0.30162346363067627,
0.18040584027767181,
0.891547441482544,
0.256335973739624,
0.48938679695129395,
-0.2704158127307892,
-0.8829255104064941,
-0.7017378807067871,
-0.34989070892333984,
0.70098876953125,
... |
TASK DEFINITION: In this task, you need to count the occurrences of the given word in the given sentence.
PROBLEM: Sentence: 'a man is surfing in a river while another person watches'. Count the occurrences of the word 'a' in the given sentence.
SOLUTION: 2
PROBLEM: Sentence: 'a little girl holds a tooth brush while ... | 1
| 8 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.5093870162963867,
0.7364873886108398,
-1.1465909481048584,
-1.0852482318878174,
-0.223631352186203,
0.2304450273513794,
0.3301451802253723,
0.48796695470809937,
0.3576773405075073,
-0.2128806710243225,
-0.5823178887367249,
-0.011940384283661842,
-0.26402515172958374,
0.1472715586423874,
... |
You will be given a definition of a task first, then some input of the task.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent ... | Yes | 1 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
0.17882364988327026,
0.10864084959030151,
-0.26643311977386475,
0.043735165148973465,
-0.12470395863056183,
-0.5447214841842651,
0.6611553430557251,
0.6104239225387573,
0.24543535709381104,
0.1926499605178833,
-0.10874496400356293,
-0.12952595949172974,
-0.6946739554405212,
-0.307225376367... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: Y al igual que en el resto de países, el trabajo es la primera preocupación.
[EX A]: כמו בכל מדינה אחרת שבה זה נעשה, תעסוקה היא הנושא המרכזי.
[EX Q]: Cuenten su historia de cómo la anticoncepción ha cambiado su vid... | זוהי הרשת שלנו
| 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.6301586031913757,
0.38684290647506714,
-0.0933055654168129,
-0.21577517688274384,
-0.4907929301261902,
0.1857682466506958,
0.5584482550621033,
0.29149091243743896,
0.4294041097164154,
0.09070590138435364,
-0.880463719367981,
-0.4431796669960022,
-0.08528953045606613,
0.04961749166250229... |
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 primary key... | SELECT T1.region_name , count(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id | 3 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.6161956191062927,
0.5840643644332886,
-1.0571821928024292,
0.8913670182228088,
-0.5082871913909912,
-0.2501751482486725,
0.6828192472457886,
1.242018461227417,
-0.505512535572052,
0.4603411555290222,
0.006368510890752077,
0.5345889329910278,
0.053579118102788925,
0.42562246322631836,
0... |
Teacher: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 t... | Yes | 6 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.16325926780700684,
0.314777135848999,
0.3110535740852356,
-0.6432062983512878,
-0.49017834663391113,
-0.8676986694335938,
1.500759243965149,
-0.12862591445446014,
-0.471926748752594,
-0.882334291934967,
-0.29025790095329285,
-0.402203768491745,
-0.7396878004074097,
0.18941345810890198,
... |
You will be given a definition of a task first, then some input of the task.
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name something you might drink on christmas eve by ... | egg nog | 1 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
0.49910059571266174,
1.3971333503723145,
0.46468693017959595,
-0.1310930699110031,
-0.23794379830360413,
-0.9465937614440918,
0.49973705410957336,
0.3769174814224243,
0.29256829619407654,
-0.0146788340061903,
0.2925207316875458,
-0.5043610334396362,
-0.8194795846939087,
-0.235975980758667,... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
[EX Q]: John received a book.
[EX A]: 1
[EX Q]: John seemed to be a great linguist.
[EX A]: 1
[EX Q]: The horse kicked Penny'... | 1
| 6 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.03663543611764908,
0.6283940076828003,
-0.08893005549907684,
-0.5903974771499634,
0.2207779437303543,
-1.6796965599060059,
0.2120203673839569,
0.40596675872802734,
0.08894921839237213,
-0.4417194724082947,
-0.7423164248466492,
-0.16946101188659668,
-0.8258248567581177,
-0.84096843004226... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Een hulpmiddel kan worden verborgen als het is te klein voor de taak. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.6150212287902832,
1.3048065900802612,
-0.07123758643865585,
-0.3032817244529724,
-0.19969750940799713,
-1.6104117631912231,
0.3018205761909485,
0.16959047317504883,
0.0911443755030632,
-0.28088468313217163,
-1.0738539695739746,
0.7476543188095093,
-0.5891265273094177,
-0.104764714837074... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | Output: What device is used to give ratings on the Richter scale?
| 2 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.2493239939212799,
1.1495305299758911,
-0.013307619839906693,
-0.08926092088222504,
-0.6045202612876892,
-0.8263530731201172,
0.5248473882675171,
0.33107122778892517,
0.4552668333053589,
-0.5521024465560913,
-0.8407718539237976,
0.4458794891834259,
-0.19753660261631012,
0.2125223577022552... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
See one example below:
Problem: Amends the Water Resources Development Act of 1999 ... | To authorize the President to award a gold medal on behalf of the Congress to Jesse L. Jackson, Sr. in recognition of his outstanding and enduring contributions to the Nation. | 4 | NIv2 | task1659_title_generation | fs_opt | [
0.10751999914646149,
0.3071162700653076,
-0.5271542072296143,
-0.16020120680332184,
0.3155519962310791,
-0.8882676959037781,
0.4442158639431,
0.9414523243904114,
-0.7128063440322876,
0.12540797889232635,
0.20642489194869995,
0.3281016945838928,
-0.3882267475128174,
-0.39186879992485046,
... |
Detailed Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Q: Sentence1: 'a beautiful well lit bedroom with a bed in the middle', Sentence2: 'a train that is passing by in the day time'. Is the frequency of the word 'a' in two sentences equal?
A... | No | 9 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.3530147969722748,
0.31501850485801697,
-0.3841480016708374,
-0.18590816855430603,
-0.33783426880836487,
-0.7222620248794556,
0.3882095217704773,
0.6843222379684448,
-0.4139466881752014,
-0.018890533596277237,
-0.8937410116195679,
-0.6366448402404785,
0.18430021405220032,
-0.068455204367... |
Detailed Instructions: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' ... | 9667444 | 4 | NIv2 | task1443_string_to_number | fs_opt | [
-0.4767194390296936,
1.1234251260757446,
-0.5914841294288635,
-1.058713436126709,
-0.5825381278991699,
-0.5274877548217773,
1.0776176452636719,
0.08940232545137405,
-0.032197266817092896,
-0.21039287745952606,
-0.671289324760437,
0.4853079617023468,
-1.1863048076629639,
-0.2430886328220367... |
Given the task definition and input, reply with output. In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced ... | Active Instagram | 5 | NIv2 | task339_record_answer_generation | zs_opt | [
0.08562223613262177,
0.42903363704681396,
-0.4191528856754303,
0.8077030181884766,
0.09132377058267593,
-0.6574008464813232,
-0.08299829065799713,
1.1247093677520752,
0.09197492897510529,
-0.12592919170856476,
-0.2924904227256775,
1.0390650033950806,
-0.41425400972366333,
-0.33336204290390... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | Solution: How many days after Louis XI returned to Paris in Augst was the truce signed? | 5 | NIv2 | task026_drop_question_generation | fs_opt | [
1.1051452159881592,
0.848540723323822,
-0.23120567202568054,
-0.14664238691329956,
0.5385713577270508,
-0.877069354057312,
1.0737473964691162,
0.6004381775856018,
0.4288475215435028,
0.0019904151558876038,
-0.5204063057899475,
0.5538881421089172,
-0.7676019668579102,
0.2128228396177292,
... |
Teacher:In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions a... | SELECT Count ( * ) FROM station | 6 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.6770138740539551,
0.3189917802810669,
-1.0031647682189941,
0.4276016354560852,
-0.25143346190452576,
-0.28965064883232117,
0.6660227179527283,
0.9731788635253906,
-0.3475053012371063,
0.46429261565208435,
0.2766053378582001,
0.40593522787094116,
0.1071181446313858,
0.2012786567211151,
... |
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 set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and suppor... | Neil Patrick Harris | 0 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.8112054467201233,
0.36226996779441833,
-0.9296011924743652,
0.8656895756721497,
0.6198819279670715,
-0.06735999882221222,
0.6895878911018372,
0.41769012808799744,
-0.12448035180568695,
0.45062488317489624,
-0.04550261050462723,
0.5000894665718079,
-0.9084991216659546,
0.01758293434977531... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Input: Consider Input: As an American
Output: Not Hope Speech
Input: Consider Input: Support and remember
Out... | Output: Not Hope Speech
| 2 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.15796732902526855,
0.2753412127494812,
0.2639710605144501,
0.2664017677307129,
-0.25933459401130676,
-1.1133928298950195,
0.2214469313621521,
0.8876909613609314,
0.4144495725631714,
0.316467821598053,
-0.12069989740848541,
-0.23184290528297424,
-0.5008924007415771,
-0.1757611632347107,
... |
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 event. You ... | No | 3 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.09595886617898941,
0.3637746274471283,
0.2307261824607849,
0.030482254922389984,
-0.5003389120101929,
-0.6735550165176392,
1.1382886171340942,
0.516588568687439,
-0.5179581642150879,
-0.42289358377456665,
-0.5874329805374146,
-0.4619874060153961,
-0.5813516974449158,
0.17357754707336426,... |
Instructions: In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when crea... | They're mess caused them to have to call the water department. | 3 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.04486434534192085,
1.0791114568710327,
-0.2166420817375183,
-0.8278142213821411,
-0.2955329716205597,
0.007513812743127346,
0.6573683023452759,
0.5980480909347534,
-0.14304831624031067,
0.10157190263271332,
-0.7109724283218384,
0.31101417541503906,
-0.24350625276565552,
-0.2180827558040... |
Teacher: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 ... | I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_RIGHT I_RUN | 6 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.047291096299886703,
0.8746567964553833,
-0.28490686416625977,
-0.09673627465963364,
-0.05454453080892563,
0.2131609320640564,
0.15445789694786072,
0.23416922986507416,
-0.19256305694580078,
-0.4140085279941559,
-0.7787928581237793,
-0.2794460356235504,
-0.6495165824890137,
-0.30562612414... |
Detailed Instructions: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answ... | My friend didn't like the bras as much as she liked the shirts because the _ were uglier. | 9 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.7612720727920532,
0.7470052242279053,
0.08734877407550812,
0.2117932140827179,
0.5170739889144897,
-1.0046355724334717,
0.6450725793838501,
1.2047960758209229,
-0.3702008128166199,
-0.32269173860549927,
-0.5778815150260925,
0.21466173231601715,
-0.27935802936553955,
0.06004103273153305,
... |
Teacher:In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a... | -37.113 | 6 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.25427478551864624,
0.05267195403575897,
0.0038329476956278086,
0.25374674797058105,
0.10210234671831131,
-0.3811122477054596,
1.1832115650177002,
1.1853132247924805,
0.007934827357530594,
-0.0028697550296783447,
-0.4941222071647644,
-0.09932458400726318,
-0.17356552183628082,
-0.13629423... |
Q: Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of i... | Вы, вероятно, помните владельца в торговом центре. | 7 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.10358205437660217,
0.549854040145874,
-0.34681811928749084,
-0.25157666206359863,
-0.626950740814209,
-0.3383218050003052,
0.805785059928894,
0.9844064712524414,
0.7709636092185974,
-0.3148330748081207,
-0.5799468755722046,
-0.1377633959054947,
-0.42508578300476074,
0.5759823322296143,
... |
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 | [
-0.3085987865924835,
0.39464840292930603,
0.4056539833545685,
0.386447012424469,
0.029202478006482124,
-0.7164052724838257,
0.8707770705223083,
0.4697455167770386,
-0.08377209305763245,
0.5121594071388245,
0.007398572284728289,
-0.5633491277694702,
-0.2531472146511078,
-0.7432005405426025,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Input: Consider Input: La maggior parte di voi ha detto U. Giusto.
Output: Most of you said U, which is right.
Input: Consider Input: Una simmetria completamente nuova.
Output: A whole new symmetry.
Input: Consider I... | Output: But unfortunately, the government was in denial, denial, denial.
| 2 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.082049161195755,
0.9913561344146729,
-0.03392718732357025,
-0.258966863155365,
0.1689791977405548,
-0.92330402135849,
-0.753789484500885,
1.3132938146591187,
0.372825562953949,
-0.0056316847912967205,
0.10150333493947983,
0.26577091217041016,
0.01810692623257637,
0.16162845492362976,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
One example: Comment: i am just sorry that... | Toxic | 6 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.8465941548347473,
0.7018901109695435,
0.756328821182251,
-0.18412211537361145,
0.035368479788303375,
-0.8603397607803345,
1.0316330194473267,
0.500277578830719,
0.4157652258872986,
0.7352427244186401,
0.0011343708029016852,
-0.11628367751836777,
-1.0271862745285034,
-0.8950921893119812,... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
One example is below.
Q: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
A: 52% of computer users are Internet literate.
Rationale: This is a good example. The above sentence is correctly translated from Persian to Engli... | At least it's not death: | 9 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.8705213665962219,
1.0044403076171875,
0.024014336988329887,
-0.6897178292274475,
-0.8573862314224243,
-0.6615824699401855,
0.998045802116394,
0.3956122100353241,
0.923359751701355,
0.2960566580295563,
0.17166295647621155,
0.7309412360191345,
-0.6616725921630859,
-0.09266631305217743,
... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
One example is below.
Q: when are hops a... | Frazier | 9 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.1309199184179306,
0.37721332907676697,
0.12717074155807495,
0.30944788455963135,
-0.8509020805358887,
-1.006493091583252,
1.2618130445480347,
0.3837543725967407,
0.02352617308497429,
-0.2539947032928467,
-0.9331430196762085,
0.014768961817026138,
-0.26409393548965454,
0.0550216883420944... |
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 j.
Let me give you... | d, 5699, Y | 8 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.12352471798658371,
0.130112886428833,
-0.2042398452758789,
-0.5901216268539429,
0.11763595044612885,
-0.4244385063648224,
0.5578325986862183,
-0.2643786370754242,
-0.43064385652542114,
0.4603552222251892,
-1.0524674654006958,
0.17095798254013062,
0.41332411766052246,
-0.1343442797660827... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | -3
| 3 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.21214962005615234,
0.08705666661262512,
-0.09140932559967041,
-0.24580812454223633,
0.15591871738433838,
-0.3167758584022522,
1.1427799463272095,
0.6109755039215088,
0.2082957625389099,
-0.5767127275466919,
-0.8740382194519043,
0.2700483202934265,
-0.20864689350128174,
-0.59318935871124... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 5 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.8538867235183716,
-0.29978811740875244,
-0.22379757463932037,
0.06863998621702194,
-0.23071980476379395,
-1.038224458694458,
1.5288175344467163,
0.42701083421707153,
-1.0310955047607422,
-0.286285400390625,
-0.22084678709506989,
-0.3279021978378296,
-0.4593483507633209,
-0.12575905025005... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:גודל הבועה הוא כמות התושבים.
Solution: | اندازه حباب جمعیت کشور را نشان میدهد. | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.08934054523706436,
0.448959082365036,
-0.26705995202064514,
-0.01780194416642189,
-0.6018936634063721,
-0.16287177801132202,
0.7052614688873291,
-0.004087317269295454,
0.4957948327064514,
-0.34270864725112915,
-1.2215681076049805,
0.5505847930908203,
-0.2848225235939026,
-0.294141888618... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Q: Context_1 : Mulata de tal (English: "A Kind of Mulatto" ) is a novel by Nobel Prize-winni... | When was the band that performed The Rock The Nation World Tour founded?
****
| 4 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.5165930986404419,
0.2010621428489685,
0.2889459729194641,
-0.33966580033302307,
0.7928237318992615,
-0.6938483715057373,
0.5052794218063354,
0.65092933177948,
-0.17378193140029907,
0.06476700305938721,
-0.8218480348587036,
0.4254513084888458,
-1.0886188745498657,
0.3634756803512573,
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.
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in opti... | 4 | 0 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.18545562028884888,
0.17289866507053375,
0.11633448302745819,
-0.0342671275138855,
0.5676990747451782,
-0.4736330509185791,
0.025427136570215225,
0.5308486223220825,
-0.5415157079696655,
0.20943857729434967,
-0.10956007987260818,
-0.29662424325942993,
-0.07495808601379395,
0.171959668397... |
Definition: 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: 1982年のノンフィクション書籍『TheHolyBloodandtheHolyGrail』をもうひとりの著者とともに共著したマイケル・ベイジェント氏と... | No | 2 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.8857769966125488,
-0.5388360023498535,
-0.027328141033649445,
-0.028393179178237915,
0.2614569067955017,
-0.6471567153930664,
0.3308255672454834,
0.14775964617729187,
-0.1451406180858612,
-0.25508859753608704,
-0.3806639313697815,
-0.4365410804748535,
-0.37802383303642273,
0.17324870824... |
Detailed Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the to... | Valid | 8 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
-0.09970522671937943,
-0.16240811347961426,
0.05756642669439316,
-0.16857770085334778,
-0.011721929535269737,
-1.2418115139007568,
0.16495943069458008,
1.0670268535614014,
0.1751680076122284,
0.5761858224868774,
-0.22244662046432495,
-0.31429457664489746,
0.19310113787651062,
0.16616550087... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Example In... | goat raping acid throwing in bred retarded followers of the pedophile false prophet of satan
| 3 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.29281169176101685,
0.5012692213058472,
0.3081287443637848,
0.8030786514282227,
-0.4644179940223694,
-0.8730448484420776,
-0.49454858899116516,
0.9069015979766846,
0.5222233533859253,
0.7237317562103271,
-1.0189465284347534,
0.07882528752088547,
-0.5461622476577759,
-0.9249798655509949,
... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', ... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.21737857162952423,
0.6385979056358337,
-0.05310589447617531,
0.46054887771606445,
0.4576267898082733,
-0.7039310932159424,
-0.3023698329925537,
0.6766823530197144,
0.3237958550453186,
0.27538391947746277,
0.15830732882022858,
-0.05441852658987045,
-0.453016996383667,
0.035213783383369446... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | The dog is playing with the red ball.
****
| 4 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.15660306811332703,
0.5067592859268188,
0.5002108216285706,
-0.31811487674713135,
-0.02141507714986801,
-0.7791922092437744,
0.020571531727910042,
0.7051538228988647,
0.050698500126600266,
-0.5426781177520752,
-1.0145342350006104,
-0.24470704793930054,
-0.3857828676700592,
0.074429228901... |
TASK DEFINITION: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it ... | Good
| 8 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.1509966254234314,
0.5388491153717041,
0.20170119404792786,
-0.4187588393688202,
-0.07422956824302673,
-0.24740323424339294,
1.014875888824463,
0.16525910794734955,
0.36670753359794617,
0.2203768640756607,
-0.7829306125640869,
-0.028879310935735703,
-1.0339853763580322,
-0.09745803475379... |
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: yes
| 2 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.17873595654964447,
0.33364251255989075,
0.4431571364402771,
0.02163877710700035,
0.05498610436916351,
-0.11791708320379257,
1.0942473411560059,
0.6188048124313354,
0.18923771381378174,
0.7311522364616394,
-0.0011095274239778519,
-0.3371870815753937,
-0.5136408805847168,
-0.6749504804611... |
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 | [
-0.4844455420970917,
0.6190491318702698,
0.15474465489387512,
-0.32005512714385986,
-0.6503970623016357,
-0.2015840709209442,
0.5032423138618469,
0.6659899950027466,
0.797525942325592,
-0.8794417381286621,
-1.0222041606903076,
0.08038264513015747,
-0.582121729850769,
0.29470860958099365,
... |
Q: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning... | Approximately how many of the 1110 AH-1s delivered from 1967 to 1973 were lost per year on average? | 7 | NIv2 | task026_drop_question_generation | zs_opt | [
0.8012763261795044,
0.2731558680534363,
-0.4345060884952545,
0.0785539299249649,
0.6543964147567749,
-0.8084166049957275,
0.8224087357521057,
0.5587565898895264,
-0.03812003135681152,
0.2816873788833618,
-1.1352431774139404,
0.06855067610740662,
-0.49941450357437134,
0.24986276030540466,
... |
TASK DEFINITION: This task is about translating a given Spanish language sentence to English.
PROBLEM: Pero si es verdadero para 2, entonces debe ser verdadero para 3, porque probamos que si es verdadero para k, es verdadero para k+1.
SOLUTION: When it's true for 2, then it must be true for 3, because we have proved i... | "Who knows how many letters I've written so far, Fatmagul."
| 8 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.3815189301967621,
0.8467065095901489,
0.6185647249221802,
-0.9481171369552612,
-0.8584813475608826,
-0.660616397857666,
1.1818363666534424,
1.038834810256958,
-0.009737362153828144,
-0.14922252297401428,
-0.3354942202568054,
0.679030179977417,
-0.7064124345779419,
-0.16745473444461823,
... |
Q: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Context: I thought this day would never ... | no | 7 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.528439462184906,
0.04931621253490448,
0.42823755741119385,
0.8385728001594543,
0.023490604013204575,
0.28006455302238464,
0.05872902274131775,
-0.2500966787338257,
-0.040313560515642166,
0.43140241503715515,
0.25616055727005005,
-0.004738929215818644,
-0.22133761644363403,
-0.3309943079... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answe... | Each other. | 3 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.3180622160434723,
0.9501828551292419,
0.08221795409917831,
-0.061817627400159836,
-0.2729678750038147,
-0.6282446980476379,
0.8051995038986206,
0.27252864837646484,
-0.01540597714483738,
0.26920831203460693,
0.06477738916873932,
-0.18001744151115417,
-0.8637946844100952,
-0.0592584274709... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Part 2. Example
(Śmiech) Opublikował wiele filmów o przyrodzie.
Answer: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Explanation: The Polish sentence is correctly translated into Italia... | Di solito dentro quest'affare mettevano un canarino per assicurarsi che i tedeschi non usassero gas. | 7 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.1887511014938354,
0.7784525156021118,
-0.1829172968864441,
-0.2496156245470047,
-0.3158942759037018,
0.08872281014919281,
0.4257752597332001,
0.23333103954792023,
-0.3778057098388672,
-0.6199374198913574,
-0.7172878980636597,
0.23057785630226135,
-1.1298024654388428,
0.42367780208587646... |
Given the task definition and input, reply with output. 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: He told the audience tha... | Yes | 5 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.41738829016685486,
0.5070242881774902,
0.8368319272994995,
0.30628395080566406,
0.21051430702209473,
-0.9318451881408691,
0.0963209718465805,
0.06171692535281181,
-0.1074225977063179,
0.0020450842566788197,
0.274466335773468,
0.4835115671157837,
-0.5226672291755676,
0.332616925239563,
... |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Example Input: ['9579', 'B', 'q', '181', '2955', 'q', 'I', 'L', 'g', '1357', '5797', '7917', 'd', '5... | 19, 24, 25, 8695, 4891
| 3 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.22931689023971558,
0.01881609484553337,
0.3263202905654907,
-0.5406419038772583,
-0.22123055160045624,
-0.7969214916229248,
0.326116681098938,
0.6470252275466919,
-0.3130626678466797,
-0.08143223822116852,
-0.04601460322737694,
0.011110115796327591,
-0.1845361590385437,
-0.36470717191696... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
南アフリカにも我々のイノベーターを連れて行って南アフリカの仲間たちとどうしたら革新が重労働からの解放に役立つのか話し合いました
A: | وفي جنوب افريقيا أخذنا المخترعين معنا لكي يتشاركوا افكارهم مع زملائهم في جنوب افريقيا عن كيف يمكن للابتكار أن يصبح وسيلة للتحرر من العمل الروتيني الشاق الذي يقوم به الناس. | 7 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.28536587953567505,
0.4147763252258301,
0.0024206843227148056,
-0.8026435375213623,
-0.38155946135520935,
-1.1728541851043701,
0.2783545255661011,
-0.3159913718700409,
0.7349739670753479,
0.10680069029331207,
-0.2994386553764343,
-0.368324875831604,
-0.9484345316886902,
0.206272482872009... |
Q: In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Nchi haikutaka kujiunga na umoja. Walihisi kuwa kufanya hivyo kungewapunguzia hadhi ... | B | 7 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | zs_opt | [
-0.046384297311306,
0.992734432220459,
0.15292853116989136,
-0.45123231410980225,
-0.12326036393642426,
-0.8457785844802856,
0.847630500793457,
0.5220837593078613,
0.44631844758987427,
-0.10269811004400253,
-0.25883352756500244,
0.3290650546550751,
0.14930333197116852,
-0.6422494649887085,... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and contex... | Si bien este sistema ofrece incentivos para determinados tipos de investigación porque hace rentable la innovación, también permite a las compañías de medicamentos aumentar los precios, y los incentivos no corresponden necesariamente a los beneficios sociales. | 1 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.775963544845581,
0.20299766957759857,
0.005889999680221081,
-0.22739019989967346,
0.011052252724766731,
0.08895748108625412,
0.3233247995376587,
1.1900155544281006,
0.6451379060745239,
-0.0528450682759285,
-0.24912147223949432,
0.2216552197933197,
-0.33420366048812866,
-0.40463626384735... |
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) occupation, 14) ori... | date of death | 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.6073588132858276,
-0.14031502604484558,
-0.4469737708568573,
-1.2436989545822144,
-0.13188526034355164,
-0.4213569164276123,
-0.07239960134029388,
-0.09915802627801895,
-0.14600560069084167,
-0.25022733211517334,
-0.5854807496070862,
0.21433928608894348,
-0.6012778878211975,
-0.403927862... |
Detailed Instructions: 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 t... | worried | 8 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.2821488380432129,
-0.15715721249580383,
-0.21204954385757446,
-0.677471935749054,
0.07493572682142258,
-0.1881086826324463,
0.9297513961791992,
1.0155246257781982,
0.2592793405056,
0.19591638445854187,
0.18530213832855225,
-0.29106712341308594,
-0.8037546277046204,
0.05074537545442581,
... |
Definition: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Input: Verify if the sentiment of the following document towards the entity Quincy Jones is Negat... | no | 2 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.4090094566345215,
0.5106088519096375,
-0.23169714212417603,
0.4612339437007904,
0.10153582692146301,
-0.6117038130760193,
0.4047580063343048,
0.40777117013931274,
0.004430331755429506,
0.13102614879608154,
0.23639661073684692,
0.19794094562530518,
-0.3298916518688202,
0.08155915886163712... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Example input: Poradzi sobie, ale trzeba na nią uważać.
Example output: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Example explanation: The Polish sentence is correctly translated into Arabic, because the meaning is prese... | إذن لنتمهل قليلاً | 3 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
0.27813488245010376,
1.0008944272994995,
0.007417408749461174,
-1.085672378540039,
-0.1242433488368988,
-0.652044415473938,
1.498566746711731,
-0.9008175134658813,
0.35445594787597656,
0.21020156145095825,
-0.730250358581543,
0.3185688257217407,
-1.1898070573806763,
0.34791988134384155,
... |
Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Input: Article: kenyan prosecutors have failed to prove that a british aristocrat shot and killed a trespasser on his... | yes | 3 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.9724109768867493,
0.8438498973846436,
0.0275888629257679,
0.05049314349889755,
-0.0427999347448349,
-1.0757951736450195,
0.5816234946250916,
0.12889209389686584,
-0.4823538064956665,
0.17409294843673706,
-0.19935652613639832,
0.27703213691711426,
-1.2898104190826416,
0.8725259900093079,... |
Q: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel... | N | 7 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.2882204055786133,
0.7083239555358887,
0.08693577349185944,
-0.5160034894943237,
0.20231597125530243,
0.3831377625465393,
0.4257126748561859,
0.26526039838790894,
0.2179005742073059,
-0.18927767872810364,
-0.4564695358276367,
0.09540434181690216,
-0.8356709480285645,
-0.183783158659935,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk around left and jump around right twice
| 7 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.3980376720428467,
0.8623343706130981,
-0.5151634216308594,
0.1923580765724182,
-0.058170415461063385,
0.200381338596344,
0.17185604572296143,
0.6619858741760254,
-0.2173926830291748,
-0.24722817540168762,
-0.878250777721405,
-0.13349907100200653,
-0.6048809289932251,
-0.04836930334568024... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Tweet: Finally done now to wait for iMovie to export it... 17 min... | no
****
| 4 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.4439115524291992,
0.3756351172924042,
0.42158395051956177,
0.3706483542919159,
-0.1561627984046936,
-0.5984095931053162,
-0.05969354882836342,
0.26561275124549866,
0.1141844317317009,
0.5118647813796997,
-0.276086688041687,
-0.08437637239694595,
-0.10205782949924469,
-0.3064484000205993... |
TASK DEFINITION: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
PROBLEM: Michael flicked her a look
SOLUTION: Michael flicked a look to he... | Maria assigned a desk to the woman
| 8 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.23294249176979065,
0.5005605220794678,
0.18174509704113007,
-0.5684396624565125,
0.19601187109947205,
0.34340211749076843,
0.6436619758605957,
-0.1161988154053688,
0.5008888244628906,
-0.5634733438491821,
-0.6899404525756836,
-0.36870768666267395,
-0.017419343814253807,
0.13710838556289... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 9 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.371124804019928,
0.04066620022058487,
0.16607984900474548,
0.4122350811958313,
-0.45392537117004395,
-1.3250682353973389,
0.7716180682182312,
0.5674728155136108,
-0.4146435856819153,
0.07882095873355865,
-0.4632181227207184,
-0.5905696749687195,
-0.868800163269043,
-0.37393760681152344,
... |
Detailed Instructions: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]... | [239, 677] | 4 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.40616631507873535,
0.2942284941673279,
-0.3542509078979492,
-0.3989875018596649,
-0.09845280647277832,
-0.3634965419769287,
0.661139726638794,
0.7358831763267517,
-0.12969589233398438,
0.29443609714508057,
-1.1054750680923462,
-0.7119646072387695,
-0.38147079944610596,
-0.22328929603099... |
Instructions: 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".
Input: Premise: Betwee... | Neutral | 3 | NIv2 | task1387_anli_r3_entailment | zs_opt | [
-1.0204927921295166,
0.3957662284374237,
-0.2960873246192932,
0.0013023486826568842,
-0.4941248893737793,
-1.2648695707321167,
0.10232047736644745,
0.9217883944511414,
-0.047843314707279205,
0.2974499464035034,
-0.18557021021842957,
-0.14807912707328796,
0.10846155136823654,
-0.22876945137... |
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