inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Q: Article: A hobby can be almost anythin... | It seems that people who _ may spend more time enjoying their hobbies. | 9 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.768912672996521,
0.14295518398284912,
-0.9847047924995422,
0.06417320668697357,
0.5287697315216064,
-0.6309574842453003,
0.6376529932022095,
0.8039762377738953,
0.10657623410224915,
-0.49308377504348755,
-0.5720337629318237,
0.9384505748748779,
-0.36149245500564575,
-0.03728015720844269,... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: و يكي ديگر هميشه در حال مشاهده ما است.
Student: | Sempre hai alguén mirando. | 6 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.0993742942810059,
0.9466415643692017,
-0.05171486362814903,
-0.7737061977386475,
-0.35771065950393677,
-0.6606061458587646,
0.2877086400985718,
1.0147061347961426,
0.28187960386276245,
0.010789230465888977,
-0.3650575876235962,
-0.04361793398857117,
-0.6878389120101929,
0.29469129443168... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Q: Review: I can't beli... | False | 4 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.7561896443367004,
-0.020001046359539032,
0.6396270394325256,
0.00662054680287838,
0.3453327715396881,
-0.7919613718986511,
1.0041300058364868,
0.32136690616607666,
0.4657708406448364,
0.2667096257209778,
-0.40464240312576294,
-0.27023008465766907,
-0.27902570366859436,
-0.60641819238662... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example input: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Baha... | No | 3 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.2788757383823395,
-0.2669464945793152,
0.2237345576286316,
0.17576910555362701,
0.07708720117807388,
-0.26722395420074463,
0.07124786078929901,
-0.2810520827770233,
-0.3422189950942993,
0.1654178351163864,
0.05726572126150131,
1.2002589702606201,
-0.2621932923793793,
0.7547324299812317,... |
Detailed Instructions: 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... | turn around right twice and jump left thrice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.0639621838927269,
1.1642327308654785,
-0.4250570237636566,
-0.2444288581609726,
-0.03465757519006729,
0.5633095502853394,
0.13646608591079712,
0.677617073059082,
-0.46209532022476196,
-0.5504922270774841,
-0.8862247467041016,
-0.04994636029005051,
-0.7168501019477844,
-0.0002695947769097... |
Definition: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick th... | a | 2 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.37966153025627136,
-0.21983927488327026,
0.5691477060317993,
0.309090793132782,
-0.23240309953689575,
0.2777182459831238,
0.4004215896129608,
0.95738285779953,
0.025412730872631073,
0.31478235125541687,
-0.705108106136322,
-0.47646597027778625,
0.4093937277793884,
-0.3893742561340332,
... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | yes | 6 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.20741963386535645,
0.27195459604263306,
0.2600935697555542,
-0.04981154203414917,
-0.015608709305524826,
-0.33226895332336426,
0.6832208633422852,
1.4371330738067627,
-0.455337256193161,
-0.22074702382087708,
0.03798835352063179,
0.09803806990385056,
-0.1430601328611374,
-0.1806599348783... |
Definition: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Input: Personality: I go to high school.
I live in the United States.
I play ice ... | What are your plans for the weekend when school is out? | 2 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.12117025256156921,
0.46684563159942627,
-0.5485564470291138,
-0.03975670784711838,
-0.13656921684741974,
-0.11455569416284561,
0.9021075367927551,
-0.2744375467300415,
0.06692399084568024,
-0.8369609713554382,
-0.09784586727619171,
-0.10193999111652374,
-0.020126823335886,
0.11842328310... |
Part 1. Definition
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.
Part 2. Examp... | [33, -27] | 7 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.2741159200668335,
0.539186954498291,
-0.17145726084709167,
-0.5498734712600708,
0.13531403243541718,
-0.4007142186164856,
0.8975951075553894,
0.37492281198501587,
0.1690417379140854,
0.30327486991882324,
-0.3722493052482605,
0.11009462922811508,
-0.01679077185690403,
-0.1342775374650955... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and... | trying to end my relationship with my parents | 0 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.2898980975151062,
-0.042156778275966644,
-0.06384006142616272,
0.10809774696826935,
0.6454588174819946,
-0.2049412578344345,
0.5367894172668457,
0.8641254901885986,
-0.5887532234191895,
0.3071696162223816,
0.09150364249944687,
0.2499898374080658,
-0.9471607208251953,
0.1447925567626953,
... |
Teacher:In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Teacher: Now, understand th... | Social Science | 6 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.36255496740341187,
0.3534359335899353,
0.3162922263145447,
-0.6380525827407837,
0.2976769804954529,
0.11977502703666687,
0.20869769155979156,
0.06238581985235214,
0.3574845790863037,
0.11511844396591187,
-0.9750576019287109,
-0.40234309434890747,
-0.5803432464599609,
-0.2700895667076111... |
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 alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Example: ['2... | Solution: 1, 5, 7, 16, 19, 20, 21, 23, 25, 26, 28, 32, 33 | 5 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.023369457572698593,
0.3788895905017853,
-0.20235005021095276,
-0.6322563886642456,
0.2864231467247009,
-0.4790576100349426,
1.0858879089355469,
0.15115593373775482,
-0.6106616258621216,
0.2467999905347824,
-0.5584805607795715,
-0.20891128480434418,
0.22091642022132874,
0.076251357793807... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
What do you have in mind? | Do you want to try something completely new? | 0 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.8986605405807495,
0.9551041126251221,
-0.15293735265731812,
0.12130549550056458,
0.5260480642318726,
-1.8363460302352905,
0.01816796511411667,
-0.2470470368862152,
-0.18015868961811066,
-0.25665560364723206,
-0.5634496212005615,
0.4319254457950592,
-1.2229595184326172,
0.496016532182693... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Input: Education is going to give us, not only commercial skills, industrial skills, it's also going to make us better people.
Output: | חינוך הולך לתת לנו, לא רק מיומנויות מסחריות, מיומנויות תעשיתיות, אלא הוא גם הולך להפוך אותנו לאנשים טובים יותר. | 2 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.9233821630477905,
-0.263394832611084,
0.24044816195964813,
-0.3021201491355896,
-0.06362125277519226,
-0.7135608196258545,
-0.33584314584732056,
0.35932376980781555,
0.6108543872833252,
0.06993900239467621,
-0.6183727979660034,
-0.20427438616752625,
-1.014453411102295,
-0.15708595514297... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Output: On her next trip, Amanda was happy to report that the product worked.
| 2 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.04835887998342514,
0.6312224864959717,
-0.39555615186691284,
-0.5979189872741699,
-0.5942196846008301,
-0.21646827459335327,
0.8890610933303833,
0.8861433267593384,
-0.5162551403045654,
0.2506279945373535,
-0.4038839340209961,
0.10820695012807846,
0.1537165641784668,
-0.3906931281089782... |
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Example input: Operation Greens was announced in the Budget speech of 2018-19 with an outlay of Rs 500 crores to stabilize the supply of Tomato, Onion a... | মাদকাশক্ত ব্যক্তিদের চিকিৎসার জন্য উপযুক্ত পরিচর্জা প্রদান ব্যবস্হাকে শক্তিশালী করতে দক্ষতা বাড়ানো এবং মানব সম্পদের ব্যবস্হা করা। | 3 | NIv2 | task996_pib_translation_english_bengali | fs_opt | [
0.0649556815624237,
0.32844436168670654,
-0.5268406867980957,
0.5162323713302612,
-0.07498413324356079,
-0.8482023477554321,
-0.0055566392838954926,
1.2185158729553223,
0.024901390075683594,
0.41348081827163696,
-1.092489242553711,
0.29762929677963257,
-0.8401377201080322,
-0.3496125042438... |
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 the proper one. Carefully read the given text, pay specia... | REFERENCE barber
| 6 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.007286045700311661,
0.6175692677497864,
-0.39751148223876953,
0.23781931400299072,
-0.06254319101572037,
-0.6418471336364746,
1.2628697156906128,
1.0936589241027832,
-0.20963510870933533,
0.27026239037513733,
-0.050730377435684204,
0.2834157347679138,
-0.5840277671813965,
-0.17130212485... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
See one example below:
Problem: Qui c'è la medusa mortale con le ali ad X.
Solution: Aquí esta la medusa ala-x de la muerte.
Explanation: The Italian sentence is correctly translated into Spanish, bec... | Y luego hablando acerca de la energía renovable, desesperadamente importante. | 4 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.21998155117034912,
0.7799032926559448,
-0.7363467216491699,
-0.22346368432044983,
-0.9948782920837402,
-1.0580097436904907,
0.8470135927200317,
1.008927583694458,
0.09957371652126312,
-0.27524927258491516,
-0.2984568774700165,
0.21984241902828217,
-0.29328417778015137,
0.517464041709899... |
Generate a topic word for the given sentence. A topic word is usually the name of a person, place, animal, concept or object the sentence is focusing on.
[EX Q]: hiromasa yamamoto (山本浩正, yamamoto hiromasa, born 5 june 1979) is a japanese professional athlete.
[EX A]: hiromasa yamamoto
[EX Q]: las anod is a city in no... | habib thiam
| 6 | NIv2 | task645_summarization | fs_opt | [
0.5413839221000671,
-0.2775333523750305,
-0.33451083302497864,
0.0678676888346672,
0.23084145784378052,
-0.18300428986549377,
0.05224373936653137,
-0.33129310607910156,
-0.256045937538147,
-0.20852312445640564,
-0.8372159004211426,
0.7261123657226562,
-0.9573054313659668,
0.583118796348571... |
instruction:
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "... | Sentence 1: PersonX created more works of art than PersonY did because _ was a more artistic person.
Sentence 2: PersonX created more works of art than PersonY did because _ was a less artistic person.
| 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.44769734144210815,
0.5029230117797852,
0.07307079434394836,
-0.042956285178661346,
0.358033686876297,
-0.5396190881729126,
0.6631247401237488,
0.9303102493286133,
0.14510029554367065,
-0.37292322516441345,
-0.4273526668548584,
-0.421889066696167,
-0.6738031506538391,
-0.10950130224227905... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
[Q]: The first picture of this was very deceiving. The tree I was delivered was nothing like the first picture which greatly disappointing me but... | False
| 5 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.28723812103271484,
-0.03707769513130188,
-0.4246067404747009,
-0.516732931137085,
-0.2492470145225525,
-1.1274362802505493,
0.4315502345561981,
0.9437715411186218,
-0.5001540780067444,
0.4839325547218323,
-0.155707448720932,
0.16405154764652252,
-0.8984455466270447,
0.2127881646156311,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Procurorii au discutat în mai și au cerut ca rapoartele de autopsie să fie desigilate după ce părți din raportul de autopsie... | Prosecutors did an about-face in May and asked that the autopsy reports be unsealed after portions of Conner Peterson's autopsy report favorable to the defense were leaked to the media. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.14740589261054993,
0.6136561632156372,
0.15849487483501434,
-0.2542038857936859,
-0.002633847063407302,
-0.18158933520317078,
0.03170449659228325,
0.5124191641807556,
0.3544849455356598,
0.2918086051940918,
0.09313991665840149,
0.33945122361183167,
-0.5518959164619446,
0.082502409815788... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
I dlatego dysonans poznawczy jest nieodłączną częścią naszego podejścia do ropy i jest bardzo ważny w radzeniu sobie z tym wyciekiem. | E quindi, la dissonanza cognitiva fa parte del nostro modo di trattare il petrolio, ed è davvero importante per affrontare questa marea nera. | 0 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
0.020354796200990677,
0.4610252380371094,
-0.11639249324798584,
-0.5001317858695984,
-0.6692453622817993,
-1.5386431217193604,
0.3904721140861511,
0.2781650424003601,
0.4098510146141052,
0.0429372638463974,
-0.508167564868927,
-0.04531632736325264,
-0.7894023060798645,
0.10275763273239136,... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
و فقط چند صدتاییشون باقی می مونن.
A: | Restarão apenas algumas dezenas. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.9315704107284546,
1.6055917739868164,
-0.04236341267824173,
-0.5656916499137878,
-0.7481846809387207,
0.00901077501475811,
0.3557438850402832,
1.2788934707641602,
0.7184457778930664,
-0.051299065351486206,
-0.7124495506286621,
0.40752673149108887,
0.16548733413219452,
0.8983603715896606... |
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.
[EX Q]: Warum hab ich mir das nur angetan? . Nachdem ich mich nun tagelang durch das 500se... | POS
| 6 | NIv2 | task479_cls_german_books_classification | fs_opt | [
-0.4176397919654846,
0.26669037342071533,
0.03167033940553665,
-0.7343589663505554,
0.3517063856124878,
0.23132653534412384,
1.489116907119751,
0.3325451910495758,
-0.05924423784017563,
0.15130847692489624,
-0.2246633768081665,
-0.09648404270410538,
-0.6430810689926147,
-0.1609530746936798... |
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: We mourn the loss of Mayci Brea... | yes | 7 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.103920117020607,
0.13826042413711548,
0.7055096626281738,
0.376735121011734,
0.8058016896247864,
-0.3562380075454712,
0.1329878568649292,
0.17142876982688904,
-0.23251520097255707,
0.8468647003173828,
-0.046667907387018204,
-0.4150509536266327,
-0.21162787079811096,
0.18434908986091614,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Q: Ricordate? Ci si sente così bene, non è vero?
A: | 覚えていますか ？ とても壮快ですよね | 9 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
0.2015700787305832,
0.8267050385475159,
-0.2697703242301941,
0.15705816447734833,
0.1282188594341278,
-1.9221408367156982,
0.812824010848999,
0.6206401586532593,
0.240104541182518,
-0.6405928134918213,
-0.039714377373456955,
-0.1947636902332306,
-0.8333343863487244,
0.8893163204193115,
0... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Let me give you an example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) ... | a | 8 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.7214699983596802,
-0.054794859141111374,
-0.3052736520767212,
0.3473055362701416,
-0.18639922142028809,
-0.03861306607723236,
0.19311779737472534,
0.6227114200592041,
0.06483200192451477,
-0.21608759462833405,
-0.6353984475135803,
0.19902528822422028,
0.14441238343715668,
-0.086004257202... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 3, 4.
| 5 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.40507104992866516,
0.2992682456970215,
-0.05279106646776199,
-0.4509480595588684,
0.49660101532936096,
-0.6325324773788452,
0.36266547441482544,
1.343092679977417,
-0.1239180713891983,
0.7588934302330017,
-0.26028668880462646,
0.4894227981567383,
-0.11754144728183746,
-0.1501314193010330... |
Definition: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Most people buy gems at a Jeweller but some buy them in a pawnshop. This is because the _ is more cheap. (A) pawnshop (B) jeweller
Outp... | A | 2 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.14960496127605438,
0.5110543966293335,
-0.7876442670822144,
-0.42190879583358765,
-0.09624312818050385,
-0.25946274399757385,
0.2781398892402649,
0.8925049304962158,
0.5626410245895386,
0.1636105179786682,
-0.11751715838909149,
0.7799463272094727,
-0.04232247173786163,
-0.089533090591430... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 2 | 3 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.005551779642701149,
0.3157269060611725,
0.09736868739128113,
-0.010692683979868889,
0.35993218421936035,
-0.7087743282318115,
-0.28227943181991577,
0.8549883961677551,
0.28693193197250366,
0.044996920973062515,
0.05627128481864929,
-0.3220222592353821,
0.1560996174812317,
-0.613458633422... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two... | Gujarati | 1 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.8613443970680237,
0.04631376266479492,
0.5695719718933105,
-0.13499346375465393,
0.3740960359573364,
-0.4906477928161621,
-0.20981167256832123,
0.24190758168697357,
0.11899420619010925,
0.1798923909664154,
-0.31845715641975403,
-0.03996286913752556,
0.2868146300315857,
-0.41784092783927... |
Definition: In this task you need to indicate the required knowledge type to solve the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a question about the knowledge needed to solve the coreference relation between a noun phrase and the target pronoun. The resolu... | Spatial | 2 | NIv2 | task136_winowhy_knowledge_categorization | zs_opt | [
0.4220336377620697,
-0.08867152035236359,
0.17061544954776764,
0.09432534873485565,
0.36667537689208984,
-0.5816208720207214,
0.2194763422012329,
0.8368920087814331,
0.1981087625026703,
-0.7462730407714844,
-0.4046749174594879,
-0.03338325768709183,
-0.7333959341049194,
0.11137756705284119... |
Q: 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), and/or splitting a long complex sentence into several simpler ones. The f... | Axel Springer press company built its German headquarters at Kochstraße again, right next to the Berlin Wall in remembrance of the old tradition. | 7 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.5362555384635925,
0.7039586305618286,
0.46621373295783997,
-0.15064910054206848,
-0.1616446077823639,
0.444027304649353,
1.281402826309204,
0.1869487762451172,
0.6094681024551392,
0.06659594923257828,
-0.04145285114645958,
0.6658700704574585,
-0.9278419017791748,
0.8228967189788818,
-... |
instruction:
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pic... | a
| 9 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.2856677174568176,
0.311270147562027,
-0.6899568438529968,
-0.3787761926651001,
0.014165774919092655,
-0.18591086566448212,
1.0331653356552124,
0.8082869052886963,
-0.4252687096595764,
0.582302451133728,
-0.4416272044181824,
-0.0036190017126500607,
-0.24868789315223694,
-0.092378370463848... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated ques... | When was "Bohemian Rhapsody" released as a single in the United Kingdom? | 0 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.3493748903274536,
0.4647942781448364,
0.13168217241764069,
-0.736213207244873,
-0.041166435927152634,
0.1559496372938156,
0.7196295261383057,
0.21762138605117798,
-0.18295693397521973,
-0.6523767709732056,
-0.41355520486831665,
0.38600853085517883,
-0.6391186118125916,
0.306030452251434... |
Teacher: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about req... | OFFER | 2 | NIv2 | task880_schema_guided_dstc8_classification | fs_opt | [
-0.48944291472435,
0.34118854999542236,
0.39560580253601074,
0.45566388964653015,
-0.019971853122115135,
0.14849618077278137,
-0.05620383843779564,
0.7072924375534058,
0.46431058645248413,
-0.12363510578870773,
-0.20816510915756226,
-0.6119956970214844,
-0.49166953563690186,
0.203617230057... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
question:
['t', '6483', '6893', 'a', '2363', 'F', '571', '8607',... | 15
| 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.39275896549224854,
0.022980907931923866,
-0.5143275260925293,
-0.02909712865948677,
-0.02472912147641182,
-0.7391820549964905,
0.7418335676193237,
0.32627469301223755,
-0.6481035351753235,
0.4775424003601074,
-0.5063369274139404,
0.32939770817756653,
-0.344992458820343,
0.121085450053215... |
Detailed Instructions: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
See one example below:
Problem: Question:... | 3 | 4 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.10934825986623764,
0.3432133197784424,
-0.5647686123847961,
0.0656575933098793,
0.5269238352775574,
-0.20434634387493134,
0.8186444640159607,
1.2973389625549316,
0.09573674201965332,
0.25354135036468506,
-0.17343299090862274,
0.2342367023229599,
-0.3076333999633789,
0.04419684410095215,
... |
Detailed Instructions: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
See one example below:
Problem: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Solution: What did Tracy ... | What will happen to Taylor? | 4 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.1460387110710144,
0.6893572807312012,
-0.19618703424930573,
0.14125701785087585,
-0.05355050042271614,
-0.16104137897491455,
0.6884117126464844,
0.23978611826896667,
0.15435701608657837,
1.0375430583953857,
-0.18727675080299377,
-0.317216157913208,
-0.880162239074707,
0.03685088455677032... |
Q: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No"... | No | 7 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.13677296042442322,
0.1882389634847641,
0.6035902500152588,
-0.050180584192276,
-0.5185843706130981,
-0.45538491010665894,
0.06590999662876129,
0.7642210125923157,
0.13743236660957336,
0.07246065139770508,
-0.5750763416290283,
0.007019807584583759,
-0.2713780701160431,
0.1817900538444519... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | Solution: location | 5 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.17826926708221436,
0.4567610025405884,
0.04055796563625336,
-0.28826799988746643,
0.49379992485046387,
0.0955413207411766,
0.02134423702955246,
0.29962873458862305,
0.2905523478984833,
-0.11430683732032776,
-0.2565309405326843,
-0.08076906949281693,
-0.5755391120910645,
-0.18491861224174... |
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
| 1 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.0907687321305275,
0.010585753247141838,
0.11097721755504608,
0.25347423553466797,
-0.37240901589393616,
-0.638104259967804,
0.8666744232177734,
0.7177042365074158,
-0.5073134899139404,
-0.30637481808662415,
-0.6398444771766663,
-0.37503206729888916,
-0.8706769347190857,
0.114083230495452... |
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 same as Hypothesis. Your... | entails | 4 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.15272590517997742,
1.0572435855865479,
-0.15429098904132843,
-0.6971172094345093,
-0.4132653474807739,
-0.623824417591095,
0.8157820701599121,
0.45952966809272766,
0.2900969386100769,
-0.14024096727371216,
-0.5799951553344727,
0.3247654438018799,
-0.7601988911628723,
-0.3494893908500671... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Robin couldn't see from the back of the class. So... | What does Robin need to do before this? | 1 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.12783974409103394,
0.8406487703323364,
0.5685004591941833,
-0.7703606486320496,
-0.20116835832595825,
0.2889445722103119,
0.1900353878736496,
0.5674742460250854,
0.6071125268936157,
-0.044995661824941635,
-0.2869666516780853,
0.3679765462875366,
-0.5148360133171082,
0.0877935141324997,
... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
[Q]: Article: While it is impossible to live completely free of stress, it is possible to prevent stress as well as reduce its effect when it can't be avoided. The US Department of Heal... | Which of the following statement is TRUE?
| 5 | NIv2 | task311_race_question_generation | fs_opt | [
1.2311146259307861,
0.3576289117336273,
-0.529536247253418,
-0.8483209609985352,
0.8315787315368652,
-0.16852813959121704,
1.182417631149292,
0.8457998633384705,
0.3459838926792145,
-0.6460112929344177,
0.41158100962638855,
0.6938221454620361,
-0.7331758737564087,
0.16184812784194946,
-0... |
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 | 9 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.3668757677078247,
-0.042151615023612976,
0.13301613926887512,
0.16986362636089325,
-0.5801498889923096,
-1.4123153686523438,
0.8908644914627075,
0.7260611653327942,
-0.6393182873725891,
0.07242250442504883,
-0.4406876564025879,
-0.6087528467178345,
-0.7194870114326477,
0.0376559011638164... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example input: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Example output: B
Exampl... | B | 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.11267203837633133,
0.45833301544189453,
0.09428228437900543,
-0.6042137742042542,
-0.162026047706604,
-0.5474637746810913,
0.8737217783927917,
0.5088367462158203,
-0.013194017112255096,
0.3135632276535034,
0.612509548664093,
0.36470532417297363,
-0.004834480118006468,
-0.047906264662742... |
Instructions: Given a sentence in Spanish, generate a new Spanish 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 proba... | Una búsqueda puede cobrar un período de t. | 3 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.17816004157066345,
0.673084557056427,
-0.24916070699691772,
-0.36315590143203735,
-0.13980671763420105,
-0.1148674488067627,
0.3781813979148865,
1.649383544921875,
0.35762733221054077,
-0.9327219724655151,
-0.5398342609405518,
0.5475839972496033,
-0.3634776771068573,
-0.2260336875915527... |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
[Q]: The boy murmured his reply to his mother, so he gave her a h... | not plausible
| 5 | NIv2 | task391_causal_relationship | fs_opt | [
-0.6107019186019897,
1.0367286205291748,
0.6845638751983643,
-0.9860835075378418,
-0.4990372657775879,
-0.35361555218696594,
-0.0158681757748127,
0.6152491569519043,
0.4912356734275818,
0.10469950735569,
-0.1584387570619583,
0.44128358364105225,
-0.34444761276245117,
-0.8858792185783386,
... |
Teacher: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this... | NNP | 2 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.6138394474983215,
0.4665285348892212,
-0.6335574984550476,
0.7854452133178711,
-0.02432672679424286,
-0.8129094243049622,
0.9172917604446411,
0.5245258212089539,
-0.4010884463787079,
-0.2729014754295349,
-0.28906792402267456,
0.6318946480751038,
-0.3406851589679718,
0.1813802272081375,
... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Ex Input:
I love it!!! I used the whole time in the Bahamas not once did I get burned! I'm alway... | 3
| 1 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.0986594557762146,
0.2823379635810852,
-1.0141085386276245,
-0.10393157601356506,
-0.3337424099445343,
-0.40883710980415344,
0.9175167083740234,
1.0465596914291382,
-0.3887881934642792,
0.7163562774658203,
-0.40227457880973816,
0.6020331978797913,
-0.8241255283355713,
-0.2534048557281494,... |
instruction:
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the defin... | no
| 9 | NIv2 | task211_logic2text_classification | fs_opt | [
0.28134921193122864,
-0.38578784465789795,
-0.5856199264526367,
0.3457540273666382,
0.5121606588363647,
-0.49040675163269043,
0.33810585737228394,
0.6087648272514343,
0.06249172240495682,
-0.19702735543251038,
-0.2507888674736023,
0.4284585118293762,
0.11129721254110336,
0.3351069390773773... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Let me g... | After the paint has dried, use the edge of your nail to scrape off unwanted sections | 8 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.02478477731347084,
0.8787404894828796,
-0.5870672464370728,
0.036857813596725464,
-0.23000043630599976,
-0.11343136429786682,
-0.1405169516801834,
0.44943928718566895,
0.13047859072685242,
0.28834232687950134,
-0.2094433456659317,
0.46627551317214966,
-0.4854295551776886,
0.0742778927087... |
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 alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Q: ['4971', ... | 2, 4, 5, 6, 8, 11, 12, 14, 15, 16, 17, 20, 21, 22, 23, 24, 25, 26, 27, 29 | 4 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.18925611674785614,
0.51260906457901,
-0.15649265050888062,
-0.6243674159049988,
0.2633122205734253,
-0.04456155002117157,
0.9151214361190796,
0.33768942952156067,
-0.44674426317214966,
0.25432372093200684,
-0.5966228246688843,
0.12674401700496674,
-0.1433456391096115,
-0.0354861319065094... |
You will be given a definition of a task first, then some input of the task.
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
A Huey helicopter flies over the Alaskan wilderness, its pilots looking for someone below. That someone, Major Mit... | Who has got the wind of the operation and is already hot on Gant's tail? | 1 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.08939601480960846,
-0.029985658824443817,
-0.6337578296661377,
-0.5808985829353333,
0.614563524723053,
0.15610381960868835,
0.8297778367996216,
0.7476162910461426,
0.13943436741828918,
0.24527841806411743,
-0.4754984378814697,
0.13419535756111145,
-0.6366143226623535,
0.05862456560134888... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Así que, hemos tenido éxito en hacer algo mucho más grande que el origami de ADN al combinar el origami de ADN con mosaicos.
| Quindi quello che abbiamo fatto è riuscire a costruire qualcosa molto più grande di un origami di DNA combinando origami di DNA e tasselli. | 5 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.07694205641746521,
0.7038607597351074,
0.37816959619522095,
-0.08733087033033371,
-0.4107707142829895,
-0.4876253604888916,
-0.2550148367881775,
0.6756527423858643,
-0.2112019956111908,
-0.00531103415414691,
-0.033600229769945145,
0.6301934123039246,
-0.3630836308002472,
0.2512639462947... |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
--------
Question: Question: what ... | what football team does rooney play for?
| 7 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.3482910394668579,
0.7718441486358643,
-0.36656874418258667,
-0.03784452751278877,
-0.5819835066795349,
-0.7854079008102417,
1.8899238109588623,
0.6932874917984009,
0.20076362788677216,
0.26824429631233215,
-0.47305306792259216,
-0.05219815671443939,
-0.7717212438583374,
0.161923497915267... |
Given the task definition and input, reply with output. You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose ... | Text two | 5 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.862143874168396,
0.08849353343248367,
0.18165519833564758,
-0.5848077535629272,
-0.09308220446109772,
-0.0801704078912735,
1.015358567237854,
0.4357698857784271,
0.08999808132648468,
-0.0372031107544899,
-0.5730308294296265,
0.19960491359233856,
-0.722395658493042,
-0.10208341479301453,... |
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: Incredible!! @Blaney puts the No.... | yes | 0 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.6758569478988647,
-0.12603363394737244,
0.7924319505691528,
0.35055553913116455,
-0.09778007864952087,
-0.13085882365703583,
0.73512864112854,
-0.15920506417751312,
0.09366696327924728,
0.17957903444766998,
-0.769477128982544,
-0.01566987670958042,
-0.5251915454864502,
-0.03426557034254... |
You will be given a definition of a task first, then some input of the task.
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.
In this paper, we describe our autonomous bidding agent, RoxyBot, who emerged victorious i... | RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel | 1 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.8887670040130615,
0.5638526678085327,
-0.20603474974632263,
0.6221421360969543,
0.07171773910522461,
0.14031356573104858,
0.21532222628593445,
0.45435476303100586,
-0.08275818079710007,
0.3988106846809387,
-1.1278399229049683,
-0.0392264649271965,
-0.12089894711971283,
0.106195166707038... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
ما به دولت های ثروت مند نیاز داریم که برای تامین کمک برای این چیز ها خیلی سخاوت مند باشند
Necesitamos países ricos que ayuden generosamente.
"" ماتریکس 001 "", در "" دارک مارکت DarkMarket "" یک مدیر بود.
Matrix001, ... | Es increíble. Es un momento maravilloso.
| 0 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.9740961790084839,
0.6540802121162415,
-0.11078636348247528,
-0.4429421126842499,
-0.8239234685897827,
0.0020833092276006937,
0.7021424174308777,
0.5667932629585266,
0.18717814981937408,
-0.0978432297706604,
-1.1360080242156982,
0.0633193850517273,
-0.5622460842132568,
-0.003081217873841... |
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 ... | Yes | 3 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.2681070864200592,
0.35610032081604004,
0.4647885262966156,
-0.7706541419029236,
-0.3599521219730377,
-0.6842262148857117,
1.169959306716919,
-0.30732908844947815,
-0.30365628004074097,
-0.7556679248809814,
-0.3465275168418884,
-0.5492645502090454,
-0.4483790397644043,
0.3631960153579712,... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
--------
Question: M: I don't think the shoes are fit for me. Can you show me a cheaper pair? F: Of course... | (B) The colors connected with words.
| 7 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.5713415741920471,
0.39446553587913513,
-0.2949610948562622,
-0.053802818059921265,
0.6634069681167603,
-0.5848550200462341,
0.9201053380966187,
0.7510005235671997,
0.10829614102840424,
-0.14806543290615082,
-0.9366618394851685,
0.2618308663368225,
-0.12439931929111481,
0.1996763497591018... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
E recorremos a três tipos de divisões diferentes.
Output: | Analizamos tres tipos diferentes de habitacións. | 1 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.8713107109069824,
0.804455578327179,
0.21262788772583008,
-0.4833548665046692,
-0.07787684351205826,
0.1083640530705452,
0.23639507591724396,
0.4532291889190674,
0.028392277657985687,
-0.032220955938100815,
-0.7659122943878174,
0.05975255370140076,
-0.37093448638916016,
0.28335574269294... |
Teacher:In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
Teacher: Now, understand the problem? Solve this instance: 吉林省双辽市人民检察院指控：2015年4月2日，被告人朱某在双辽市辽北街居民王某经营的恒通租车行租一辆灰色本田牌凌派轿车，陆续交租金共计8500元后逃匿，该车也下落不明。该车经价格认定机构认定价格为107000元。到案后，朱某对自己的... | 朱某 | 6 | NIv2 | task1666_cail2018_answer_generation | zs_opt | [
-0.8200958967208862,
-0.35757869482040405,
-0.09890316426753998,
-0.8297799825668335,
-0.0883685052394867,
0.6217184662818909,
0.5980561971664429,
1.1127548217773438,
-0.5922541618347168,
0.000059088109992444515,
-0.08300182223320007,
0.9199708700180054,
-0.5296370983123779,
-0.25036299228... |
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.
wXrEmGiAjbCvcXrrqBkdYXR, XpjMjbCvcXrrqBkxebVceH | a, b, c, d, e, g, i, j, k, m, q, r, v, w, x, y | 0 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.3866639733314514,
1.2295176982879639,
0.1827746331691742,
-0.37685394287109375,
-0.33034956455230713,
0.1342780888080597,
1.168415904045105,
0.02652677521109581,
0.056824296712875366,
-0.3805754482746124,
-0.573002815246582,
-0.2599765360355377,
0.07743211090564728,
-0.33211463689804077... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Ex Input:
W rezultacie, kiedy partie te zostają wybrane a następnie, co nieuniknione, zanikają albo, co nieuniknione, popełniają polityczne błędy, to demokrację obwinia się o ich polityczne pomyłki.
Ex Output:
و آنچه به عنوان... | تنها چیزی که ممکن است بدست آورده باشم — خواهرم یکبار از من پرسید تا در مورد موضوعی چه کند که در نیوینگتون ، کنتی کت اتفاق افتاده بود.
| 1 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.875532865524292,
0.1006011813879013,
0.2527000904083252,
0.2233966737985611,
-0.4946884512901306,
0.03500417619943619,
0.5748395919799805,
0.16921062767505646,
-0.14462070167064667,
0.0033314786851406097,
-0.33130770921707153,
0.7471622228622437,
-0.21396209299564362,
0.4170857667922973... |
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... | strengthener | 4 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.2596983313560486,
0.3956555724143982,
-0.14622275531291962,
-0.2769838273525238,
-0.33759066462516785,
-0.8845095634460449,
1.369413137435913,
1.1931297779083252,
0.47346988320350647,
-0.6941545009613037,
-1.1953125,
-0.2081133872270584,
-0.9542951583862305,
-0.04948442429304123,
0.560... |
Definition: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: ['5831', '3517', 'P', 'C', '609', '1849', '2837', '8291', '2107', 'B', '6717', 'P', '8377', '4735', 'U', '1501', 'j', 'w', 's', 'J']
Output: | 5831, 3517, 609, 1849, 2837, 8291, 2107, 6717, 8377, 4735, 1501 | 2 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.2013670951128006,
0.4341580867767334,
-1.0913206338882446,
-0.29581770300865173,
-0.22541016340255737,
-0.028743017464876175,
0.24001306295394897,
-0.19108247756958008,
0.11619625985622406,
0.5034919381141663,
-0.8719040751457214,
-0.08968383818864822,
0.4778769016265869,
0.0411760024726... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
--------
Question: Chámase robot ou non, e podedes probalo por vós mesmos.
Answer: 「ボットかヒトか」です誰でも使えて自分で遊べます
Question: 180 milímetros de chuvia nun período de tempo moi curto.
Answer: ごく短時間に180ミリの雨が降ったんです
Question: ... | 僕らはみな悪いことをしないという選択が最終的にはあると思う
| 7 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.8845626711845398,
0.437313437461853,
-0.1933240443468094,
-0.47356390953063965,
-0.2711527347564697,
-1.6124060153961182,
0.8240528106689453,
-0.36536693572998047,
-0.4907127618789673,
-0.45429861545562744,
-0.6516405344009399,
0.20623727142810822,
-0.20037347078323364,
0.24682816863059... |
Part 1. Definition
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Part 2. Example
Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take over an area in no ti... | H | 7 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.5939302444458008,
0.33316582441329956,
-0.84943687915802,
0.2534738779067993,
-0.23044636845588684,
-0.6194973587989807,
-0.35187917947769165,
0.5214092135429382,
-0.30971860885620117,
-0.02098606899380684,
-0.46999818086624146,
0.007789337541908026,
-0.29948458075523376,
-0.153286039829... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Questions: ['what is the amount... | 2004-02-15 | 0 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | fs_opt | [
-0.04956613853573799,
0.19467554986476898,
-0.13240750133991241,
0.5113442540168762,
-0.585466206073761,
-0.531775951385498,
1.4568202495574951,
-0.3086313307285309,
0.0768614113330841,
0.13984902203083038,
0.012462194077670574,
-0.35141634941101074,
-0.13349732756614685,
0.445434987545013... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
See one example below:
Problem: מונטריי היא אחת מהם.
Solution: Monterey is one of those.
Explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מו... | Why does this happen? We're not entirely sure, but it probably has to do with the ease of remembering versus the difficulty of imagining. | 4 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.3963797986507416,
0.4788825213909149,
0.2675268352031708,
-0.6151490211486816,
-0.4244859218597412,
-0.9229686260223389,
0.2575465440750122,
0.1132529079914093,
1.2842397689819336,
-0.4431825280189514,
-0.37983888387680054,
0.5502068996429443,
-0.9908971786499023,
0.2115810662508011,
... |
instruction:
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.
question:
Given Relationship: 'be analyse use', Sentence: 'Data were analysed using SPSS 12.0.1 .'
answer:
analysed
question:
Given Relationship: '... | cities
| 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.06946208328008652,
0.4216766953468323,
-0.8003836870193481,
0.052834343165159225,
0.38760295510292053,
-1.425034999847412,
0.6177054643630981,
0.1411062777042389,
-0.20162485539913177,
0.23268869519233704,
-0.4717719256877899,
0.4793744385242462,
0.5074408054351807,
0.061000216752290726... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Q: Question: What wa... | Other acquaintances from his time as a student were Ludwig Bamberger (1823–1899), who would later become a banker, the author Berthold Auerbach (1812–1882) of Heidelberg and the poet Bettina von Arnim (1785–1859) of Berlin | 9 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
-0.08794011175632477,
0.48904067277908325,
0.01994198188185692,
-0.3187713921070099,
-0.6854515075683594,
-0.5529539585113525,
1.439274787902832,
0.5529083609580994,
-0.01530232559889555,
0.5196666121482849,
-0.026972658932209015,
0.06173801049590111,
-1.238234281539917,
0.4341933727264404... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
See one example below:
Problem: Egypt (similar results in Jordan)
Solution: مصر (با نتایجی مشابه در اردن)
Explanation: This is a good example. The above sentence is correctly translated from English ... | قصد او از مشاجره با پلیس حق بود. | 4 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.5807989835739136,
0.41872453689575195,
-0.14833562076091766,
-0.7948086261749268,
-0.4145602583885193,
-0.4030134677886963,
1.1264238357543945,
0.21517974138259888,
0.6036713123321533,
0.3106115460395813,
-0.594225287437439,
0.87256920337677,
-0.8571442365646362,
0.05128231644630432,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Mas mesmo quando tento controlá-la a ilusão é tão poderosa devido à maneira como os nossos cérebros estão programados para reconhecer certos tipos padrões. | But even when I take it away, the illusion is so powerful because of how are brains are wired to find those certain kinds of patterns. | 0 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
-1.06935453414917,
1.4353554248809814,
0.4380139708518982,
-0.6199344396591187,
-0.6136929392814636,
-0.7269253730773926,
0.01790112629532814,
0.5269338488578796,
0.7198004126548767,
-0.34223318099975586,
-0.8961964845657349,
-0.18049395084381104,
-0.6920507550239563,
0.5336915254592896,
... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Gujarati: શૌચાલય અને સિંક સાથે બાથરૂમ
English: A tin bei... | No | 8 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.39046618342399597,
0.8854165077209473,
0.2226068079471588,
0.35157671570777893,
0.24293509125709534,
-1.5372992753982544,
-0.08540072292089462,
0.006114257499575615,
-0.30437877774238586,
-0.27560675144195557,
-0.19403189420700073,
0.534931480884552,
-0.7406760454177856,
0.1739379167556... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
One example... | Not Funny | 6 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.06277304887771606,
0.2833762764930725,
0.4353165626525879,
-0.11957541108131409,
-0.23546528816223145,
-0.2670001983642578,
0.39364302158355713,
0.8479682803153992,
-0.10572175681591034,
0.28476786613464355,
-0.7030683755874634,
-0.3735911250114441,
-0.9774225950241089,
0.11771918833255... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
ואני לא צריכה להשתמש בשרותי הגברים בגלל שאני לא גבר.
Output: | E non dovrei usare lo spogliatoio degli uomini, perché non lo sono. | 1 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.44653183221817017,
0.703912615776062,
-0.3712291717529297,
0.028146972879767418,
-0.353743314743042,
0.15767669677734375,
0.48182499408721924,
0.7021276354789734,
0.883238673210144,
-0.5248534083366394,
-0.3766241669654846,
0.22643449902534485,
-0.3472493290901184,
-0.05024489015340805,... |
In this task, you are given a sentence and a verb from the sentence. Your task is to generate a set of wh-questions starting with who, what, when, where, why, how, how much. The generated questions must contain the verb and the answers to these questions are phrases in the input sentence. The answer to the questions is... | Solution: what collapsed? | 5 | NIv2 | task1519_qa_srl_question_generation | fs_opt | [
0.16013237833976746,
0.86357182264328,
0.11612480878829956,
-0.1786538064479828,
0.07329073548316956,
-0.5922150611877441,
0.812096357345581,
0.6956677436828613,
0.028218640014529228,
-0.39080917835235596,
-0.8865344524383545,
0.31184396147727966,
-0.37381553649902344,
-0.17821626365184784... |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'A... | DET | 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6008744835853577,
0.20565786957740784,
0.1824466437101364,
0.15230998396873474,
0.026851806789636612,
-0.7147231101989746,
0.672791600227356,
0.9240964651107788,
-0.48238760232925415,
-0.16908365488052368,
-0.3814094066619873,
0.17926837503910065,
-0.43538594245910645,
0.4757326543331146... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | They are honest .
| 7 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.16645574569702148,
0.8822997212409973,
-0.310119092464447,
-0.3220348358154297,
-0.01597709022462368,
-1.0472171306610107,
-0.1153031438589096,
0.42514467239379883,
-0.049195144325494766,
-0.2807767987251282,
-0.17836393415927887,
0.7353214025497437,
-0.5677218437194824,
0.43526995182037... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | . | 8 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6592659950256348,
0.31982189416885376,
-0.41605836153030396,
0.12390586733818054,
0.03627670183777809,
-0.7079412937164307,
0.8727903366088867,
0.7393497824668884,
-0.5386869311332703,
0.0287264846265316,
-0.38276952505111694,
0.3993609547615051,
-0.696575939655304,
0.5342392921447754,
... |
Classify given movie review into two categories: positive, or negative based on its content.
--------
Question: devoid of any of the qualities that made the first film so special .
Answer: negative
Question: these people wouldn't know subtle characterization if it put on a giant furry monster costume and then gave t... | negative
| 7 | NIv2 | task888_reviews_classification | fs_opt | [
-0.8837603330612183,
-0.1675899624824524,
-0.005428487900644541,
0.07553502917289734,
-0.14592334628105164,
0.15968549251556396,
0.2576541602611542,
0.5923700332641602,
-0.06367632001638412,
0.309603214263916,
-0.0974743664264679,
-0.3804686665534973,
-0.46374768018722534,
-0.3889969885349... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underh... | No | 4 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-0.7702113389968872,
0.24998672306537628,
0.453749418258667,
0.6038083434104919,
0.36848893761634827,
-0.6276571750640869,
0.11305317282676697,
0.5245224237442017,
0.23602694272994995,
0.36944353580474854,
0.04575185477733612,
-0.2655264437198639,
-0.5216741561889648,
-0.2865815758705139,
... |
TASK DEFINITION: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
PROBLEM: Sentence: xname is a restaurant with a low customer rating.... | familyFriendly[yes], price[less than £20], cuisine[Chinese]
| 8 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.6351358890533447,
0.3784148097038269,
-0.38616743683815,
-0.24646690487861633,
-0.05815717205405235,
0.7700806856155396,
0.41459137201309204,
0.8271786570549011,
0.3770769238471985,
0.10122954845428467,
0.8955714106559753,
-0.13804370164871216,
-0.2796780467033386,
-0.3726445734500885,
... |
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 question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previo... | X wants to know what sorts of books Y likes to read. | 0 | NIv2 | task567_circa_text_generation | fs_opt | [
0.031119339168071747,
0.45912492275238037,
-0.19080795347690582,
0.2192564308643341,
0.14177975058555603,
0.2645213007926941,
0.6369797587394714,
0.17881515622138977,
0.41867929697036743,
-0.31766796112060547,
-0.5448476672172546,
-0.5242336988449097,
-0.4677915573120117,
0.655179560184478... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Ex Input:
Stały ramię w ramię w geście pojednania, to było wspaniałe.
Ex Output:
Elas foram apenas unidas, nesta espécie de reconciliação, e eu acho isto notável.
Ex Input:
Na pewno wielu z was wie o nich sporo.
Ex Out... | Pode ser usado para monitorizar o coração de doentes em zonas remotas e rurais.
| 1 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.698384165763855,
0.5501161813735962,
-0.31957823038101196,
-0.5378115177154541,
-0.49637266993522644,
-0.47402921319007874,
0.8412774205207825,
0.185125932097435,
0.361593097448349,
-0.2025400847196579,
-0.4445760250091553,
0.9852930307388306,
0.22425708174705505,
-0.008798331022262573,... |
Detailed 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... | Yes | 9 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.38622426986694336,
0.74709153175354,
0.16190503537654877,
-0.36719757318496704,
-0.3795627951622009,
-1.2711024284362793,
1.0817687511444092,
0.42440181970596313,
-0.7565923929214478,
-0.44792047142982483,
-0.16653242707252502,
-0.11736027151346207,
-0.851239025592804,
-0.192086964845657... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 1, 2, ['67', 's', 'j', '5677', 'q', '4105', '9373', 'c', '3441... | 67, j, q, 9373, 3441, 1747, 4253, 3451, 9817, 7909, D | 4 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
-0.07131902128458023,
0.6866018772125244,
-0.9264233112335205,
-0.828286349773407,
-0.6853480339050293,
-0.11295472830533981,
0.7013862133026123,
-0.06163225695490837,
-0.11098157614469528,
0.2384357452392578,
-0.4561217427253723,
-0.19174879789352417,
-0.008258923888206482,
0.315666377544... |
Teacher:Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive categ... | Neither | 6 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.694388747215271,
-0.10857070982456207,
-0.07808162271976471,
0.5119404196739197,
-0.04843778535723686,
-0.744533896446228,
0.4238615930080414,
0.7297923564910889,
0.37356024980545044,
0.12338981032371521,
-0.4381493926048279,
-0.5257675647735596,
-0.31409919261932373,
-0.692608356475830... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Let me give you an example: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
The answer to this example can be: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Here is why: The Japanese ... | I had a student named Jihae, who came to me and said, "I have my most creative ideas when I'm procrastinating." | 8 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.45460644364356995,
0.4384402334690094,
0.374925822019577,
-0.39207923412323,
-0.26728755235671997,
-1.608217716217041,
0.553382158279419,
-0.11324477195739746,
-0.11894837021827698,
-0.1750802993774414,
-0.22361424565315247,
0.2112327516078949,
-0.8855071067810059,
0.10234509408473969,
... |
Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on... | non-political | 6 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
-1.3293571472167969,
-0.07340937107801437,
0.4460420608520508,
0.3177526593208313,
-0.9112111330032349,
-1.5011955499649048,
0.0157829187810421,
0.2832774519920349,
-0.21429577469825745,
-0.27775633335113525,
-0.36780300736427307,
0.2593759298324585,
0.15163682401180267,
-0.342691481113433... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
نامیاتی زراعت کو فروغ دینے کے لئے، مرکزی حکومت نے روایتی زراعت کی ترقی کا منصوبہ شروع کیا ہے۔
| ફૂટબોલનો સોફ્ટ પાવર મિઝોરમની વૈશ્વિક ઓળખ બની શકે છે. | 5 | NIv2 | task1002_pib_translation_urdu_gujarati | zs_opt | [
-0.5688983201980591,
1.2485867738723755,
-0.002480837982147932,
-0.6463814377784729,
-0.7613207101821899,
0.014528755098581314,
0.5003766417503357,
0.2072874903678894,
-0.06876327842473984,
-0.6444617509841919,
-1.4544768333435059,
-0.10998357087373734,
-1.0145716667175293,
0.4254440665245... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: La segunda explicación es que en muchas épocas y lugares hay un sentimiento generalizado de que la vida vale poco.
Student: | A segunda explicação é que, em muitas épocas e lugares, há um sentimento generalizado de que a vida não vale nada. | 6 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.6105822324752808,
0.6730029582977295,
0.23549431562423706,
-0.7050083875656128,
-0.2861010730266571,
-0.8571368455886841,
-0.6599321961402893,
1.6288330554962158,
-0.24340730905532837,
-0.0024356371723115444,
-0.23729471862316132,
-0.4819430708885193,
-1.042183518409729,
-0.110243499279... |
Detailed Instructions: 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 ... | ¿Hasta dónde llegó la jurisdicción de Guillermo I? | 9 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.3840314447879791,
1.1307954788208008,
0.17094789445400238,
-0.9276622533798218,
0.24093127250671387,
-0.9924633502960205,
-0.8372191190719604,
0.905821681022644,
0.35809391736984253,
-0.14223024249076843,
-0.05703651160001755,
0.7678273916244507,
-1.137099027633667,
-0.9737817645072937,
... |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is... | Yes | 4 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
0.1405712068080902,
-0.12036082148551941,
0.7889238595962524,
0.39704716205596924,
0.24780219793319702,
-0.4150579571723938,
-0.6191562414169312,
0.9800189137458801,
-0.5134770274162292,
-0.26038068532943726,
-0.39868292212486267,
-0.025133302435278893,
-0.46315693855285645,
-0.25074431300... |
Teacher: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? If you are still confused, see the following example:
In a lett... | Even In a âBig Tentâ Party VA | 2 | NIv2 | task418_persent_title_generation | fs_opt | [
0.07366982102394104,
-0.17994938790798187,
-0.34560614824295044,
0.4325106143951416,
0.34879493713378906,
-0.4637054204940796,
0.40329688787460327,
0.5064042806625366,
-0.30396851897239685,
0.9474474787712097,
0.5344675779342651,
0.8039865493774414,
-0.6412644386291504,
-0.3076643943786621... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.