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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sente... | Inversion | 1 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.14845159649848938,
0.9390432834625244,
0.4723476767539978,
0.34603288769721985,
-0.03147903457283974,
-0.2134445607662201,
0.18694278597831726,
0.47996246814727783,
-0.10076573491096497,
-0.2110176980495453,
-0.5655301809310913,
-0.36108914017677307,
-0.6151665449142456,
-0.003948248922... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Input: Chwytamy wrażliwe istoty, zabijamy je i jemy.
Output: | Raduniamo creature empatiche, le uccidiamo e ce le mangiamo. | 3 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.24670657515525818,
1.3140482902526855,
0.11428757011890411,
0.03042663261294365,
-0.2385086715221405,
-0.6310753226280212,
0.725648820400238,
0.08448436856269836,
0.17059682309627533,
0.2004360556602478,
-0.8295845985412598,
-0.02242448925971985,
-0.7883222103118896,
-0.2341200113296508... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | No | 5 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.35557061433792114,
0.5786789059638977,
0.30265936255455017,
-0.1499844193458557,
-0.3918344974517822,
-0.508646547794342,
1.2767996788024902,
0.4203457832336426,
-0.5762234330177307,
-0.5619231462478638,
-0.7251726984977722,
0.08391445875167847,
-0.9457805156707764,
0.16868069767951965,
... |
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 passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite o... | 1 | 0 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.12030114233493805,
0.13101735711097717,
-0.3797309398651123,
-0.4108707308769226,
0.7425305843353271,
-0.18347978591918945,
0.38128167390823364,
0.6007327437400818,
-0.039080895483493805,
0.4411240220069885,
-0.2714717388153076,
-0.10498625040054321,
-0.6784432530403137,
0.27245071530342... |
Given the task definition and input, reply with output. You will be given three sentences. Read them, then identify a noun phrase (person, place, or thing) or event that is shared between all three sentences. As the output, write the span of the text corresponding to that phrase in each sentence. Keep the order of the ... | 1: the offending macadamia nuts 2: her nuts 3: nuts | 5 | NIv2 | task281_points_of_correspondence | zs_opt | [
-0.5212042331695557,
0.29719269275665283,
-0.19558188319206238,
-0.7901089191436768,
0.08221529424190521,
0.5331540703773499,
-0.4833081364631653,
0.7619445323944092,
-0.15324024856090546,
-0.24586935341358185,
-0.16333885490894318,
0.26155805587768555,
-0.3043592572212219,
0.3186030983924... |
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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | Solution: red_treasure_chest | 5 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.5621447563171387,
0.286247193813324,
-0.24529939889907837,
-0.04212993383407593,
-0.36715975403785706,
-0.28500720858573914,
0.3059101700782776,
0.9935562610626221,
0.42320847511291504,
-0.29903891682624817,
0.06301045417785645,
0.2576901316642761,
-0.1564285159111023,
0.0934192538261413... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
このアイデアはとてもシンプルで
Solution: A ideia é muito, muito simples.
Why? The Japanese sentence is correctly... | É uma enguia muito tímida e solitária e sabemos muito pouco sobre ela. | 0 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.17445598542690277,
0.7708077430725098,
0.4068813621997833,
-0.6511472463607788,
-0.48220294713974,
-0.5521552562713623,
0.6950541734695435,
0.49730005860328674,
0.2771371006965637,
-0.3843759298324585,
-0.8993323445320129,
-0.08197510242462158,
-0.7137472033500671,
0.043842483311891556,... |
TASK DEFINITION: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing ... | The girl and I ordered pizzas for the game.
| 8 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.48688650131225586,
-0.20602954924106598,
-0.34988725185394287,
0.05511312931776047,
0.05451419949531555,
0.36690473556518555,
0.4099274277687073,
0.08610735833644867,
-0.07855187356472015,
-0.3830079734325409,
0.12271508574485779,
0.4684737026691437,
-0.4010511636734009,
-0.1327591240406... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: وزیر اعظم نے کہا کہ حکومت ماہی گیروں کی بہبود کے لئے متعدد اقدامات کر رہی ہے اور حکومت کی ساری توجہ 'نیلا انقلاب‘ پر مرکوز ہے۔ ایسا اسلئے ہے کہ حکو... | অসময়ের ঝড়বৃষ্টিতে দেশের বিভিন্ন প্রান্তে জীবনহানির ঘটনা ঘটায় প্রধানমন্ত্রীর শোক
| 6 | NIv2 | task1070_pib_translation_urdu_bengali | fs_opt | [
-0.8401223421096802,
-0.10404258966445923,
-0.6437255144119263,
-0.5125541687011719,
-0.4776584804058075,
-0.164493590593338,
0.9582927823066711,
1.1238491535186768,
-0.35978347063064575,
0.09744046628475189,
-0.08657026290893555,
0.4007903039455414,
-0.19724953174591064,
0.152761667966842... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
[Q]: When was clifford the big red dog made?
[A]: When was clifford the big red dog book fir... | American horror story series 7 how many episodes as of November 14, 2017?
| 5 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.6011227965354919,
1.1709344387054443,
-0.10423426330089569,
0.1914234608411789,
-0.4404270052909851,
-0.45736122131347656,
0.046784572303295135,
0.18081387877464294,
0.1729353368282318,
-0.5180873870849609,
0.7061507701873779,
-0.4081122875213623,
-0.3582998514175415,
0.5704313516616821... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['1593', '3359', 'o', '991', '7507', 'J', '277', 'i', 'm', '7311', '7575', 'Z', '4825']
A: | o, J, i, m, Z | 7 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.17690232396125793,
0.6946880221366882,
-0.5107953548431396,
0.05406311899423599,
0.13693706691265106,
-0.12857836484909058,
0.3604494035243988,
-0.4263561964035034,
-0.25616586208343506,
0.12291886657476425,
-0.26835840940475464,
-0.4212227463722229,
-0.10443972051143646,
0.129582613706... |
Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: English sentence: Source for LED SPOT LIGHT Hight power spot light manufacturers at zhongshan karnar lighting & electron factory.
Output: | Source para sa LED ilawan tagagawa sa Zhongshan karnar sa pag-iilaw at elektron pabrika. | 3 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
-0.2286396324634552,
0.4315625727176666,
-0.6663159728050232,
-0.6201205849647522,
0.017978638410568237,
-0.9586029052734375,
-0.5431616306304932,
0.4330528974533081,
-0.5116356611251831,
-0.1048370972275734,
0.17251916229724884,
-0.01657344400882721,
-0.6246476173400879,
0.322566509246826... |
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 | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.2353312373161316,
0.19159284234046936,
0.10854896903038025,
0.16717734932899475,
-0.1615052968263626,
-0.36448729038238525,
0.7064414024353027,
1.4694206714630127,
-0.37628060579299927,
-0.31677329540252686,
0.10525065660476685,
-0.023377519100904465,
-0.16373437643051147,
-0.21102201938... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example: Review: My cat won't touch these. My dog, however, ... | Solution: False | 5 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.511378824710846,
0.29383620619773865,
-0.3214099407196045,
-0.3028716444969177,
-0.06828553229570389,
-0.49601441621780396,
0.2875329554080963,
0.7154062390327454,
-0.6628495454788208,
0.4558541476726532,
-0.3245868980884552,
0.27524518966674805,
-0.628484845161438,
-0.08239272981882095... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: 「フィーカ」と呼ばれコーヒー休憩以上の意味があります
A: | يسمونه "" فيكا "" مما تعني اكثر من إستراحة لتناول القهوة. | 9 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.08275747299194336,
-0.1374141126871109,
-0.306384414434433,
-0.7473015189170837,
0.10747508704662323,
-0.001894158311188221,
0.5707123279571533,
0.024883393198251724,
0.39870429039001465,
-0.7522640228271484,
-0.38117069005966187,
-0.2881988286972046,
-1.0155742168426514,
0.193605631589... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | Output: C
| 2 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.34830302000045776,
0.35991495847702026,
-0.25496745109558105,
0.43129584193229675,
-0.18671785295009613,
0.30825743079185486,
0.695095419883728,
0.645501434803009,
-0.07239842414855957,
-0.24632734060287476,
-0.3530861735343933,
0.6133349537849426,
-0.47758087515830994,
-0.3380025327205... |
Detailed Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Gbalịa itinye nnu, sugar, mmanụ, na àkwá n'ọnụ gị tupu mmiri na eleghị anya ị ga puke gị ikike idi si!
A: | Try to put salt, sugar, oil, and eggs in your mouth before baking and you'll probably puke your guts out! | 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.095331571996212,
1.000690221786499,
0.15163777768611908,
-1.4007676839828491,
0.42969566583633423,
-1.1102192401885986,
-0.40178340673446655,
0.39831194281578064,
-0.48826864361763,
-0.9498659372329712,
0.36892175674438477,
-0.7480022311210632,
-0.8853462338447571,
-0.7582975029945374,
... |
Q: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
We found evidence April may not have been killed where they found her body.
A: | لقد عثرنا على دليل يشير إلى أن أبريل قد لا تكون قتلت في نفس المكان الذي وجودا فيه الجثة | 7 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.5726357102394104,
0.7160386443138123,
-0.5329543352127075,
-0.033549368381500244,
-0.3808535635471344,
-0.7385085225105286,
0.3555549383163452,
0.4214895963668823,
0.5820305347442627,
0.4745614230632782,
0.7972620725631714,
-0.10342936217784882,
-0.28108513355255127,
0.017847344279289246... |
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".
Input: Consider Input: M: Parcel Express, good morning! How can I help you? W: Good morning. I'm thinking... | Output: (C) 100
| 2 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.38659968972206116,
-0.20725184679031372,
-0.3142801523208618,
-0.3895128071308136,
0.6405407190322876,
-0.256918728351593,
0.9666287302970886,
0.4257639944553375,
0.16184669733047485,
0.13114996254444122,
-0.22703152894973755,
0.6889696717262268,
0.2822081446647644,
0.5841691493988037,
... |
Given the task definition, example input & output, solve the new input case.
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... | U zou over politiek debatteren omdat u zich sterk voelt over hoe de regering zou moeten werken. | 1 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.8147596716880798,
0.7861170172691345,
-0.006454392336308956,
0.0010254117660224438,
0.008441571146249771,
-0.3079383671283722,
0.1514957696199417,
0.6832950115203857,
0.38888445496559143,
-0.3463594913482666,
-0.48813024163246155,
0.6721599698066711,
-0.22969013452529907,
-0.03880683332... |
Given the task definition and input, reply with output. In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: According to a recent article in The Wall Street Journal, we might all be braggarts in this competitive society addicte... | Which of the following is one of the features of braggarts? | 5 | NIv2 | task311_race_question_generation | zs_opt | [
-0.5325037240982056,
0.5976978540420532,
0.29280734062194824,
-0.37805625796318054,
0.17773965001106262,
0.0015917966375127435,
0.2675778269767761,
0.3872362971305847,
0.47589951753616333,
-0.32316774129867554,
-0.30715012550354004,
0.9780910015106201,
-1.0139797925949097,
-0.0402699299156... |
Definition: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Input: W: Waiter, can we have the bill ple... | American | 2 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.24181820452213287,
0.17961856722831726,
-0.21458786725997925,
-0.5703249573707581,
0.2966578006744385,
-0.24043138325214386,
0.16958069801330566,
0.5382207036018372,
0.9119918346405029,
-0.14591893553733826,
0.4249963164329529,
-0.32333046197891235,
0.3513161838054657,
-0.13233824074268... |
Teacher:In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given senten... | embarrassed | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.3507871627807617,
0.4513183534145355,
-0.3156253695487976,
-0.8760039806365967,
0.07673469930887222,
-0.49100369215011597,
1.0358734130859375,
0.32710254192352295,
0.36479711532592773,
-0.22260232269763947,
-0.2004917860031128,
0.2701681852340698,
-0.5718448162078857,
-0.107186235487461... |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Part 2. Example
処方箋を支払う為の保険は ？
Answer: Terán seguro para pagar a receita?
Explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
Part 3. Exercise
どう... | Como? | 7 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.5105942487716675,
0.6750186681747437,
0.39046865701675415,
-0.9904306530952454,
-0.10762777924537659,
-0.5486990213394165,
1.3747156858444214,
-0.036783162504434586,
-0.0005035242065787315,
-0.8583351373672485,
-0.5612516403198242,
0.1650896519422531,
-0.9420243501663208,
0.623631656169... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
One example: [9, ... | 9 | 6 | NIv2 | task1445_closest_integers | fs_opt | [
-0.5229095220565796,
0.18029484152793884,
-0.03451288864016533,
0.03684427589178085,
-0.01081063412129879,
-0.3457562327384949,
0.9816808700561523,
0.11255455762147903,
0.3556945323944092,
-0.22381353378295898,
-0.48602449893951416,
-0.5082560777664185,
-0.7188056707382202,
-0.239568680524... |
Part 1. Definition
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 prob... | Een pot zou erop aandringen dat je een maaltijd wilt koken. | 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.4205808639526367,
0.588261604309082,
-0.01939992420375347,
0.01733674481511116,
-0.20089465379714966,
-0.640995979309082,
0.4039890766143799,
0.2557106614112854,
-0.05172259360551834,
-0.6661595702171326,
-0.7875665426254272,
0.5869126319885254,
-0.6194507479667664,
0.24221935868263245,... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.3248579204082489,
0.015510437078773975,
-0.26008617877960205,
-0.09344522655010223,
0.3181614577770233,
-0.003376298351213336,
0.5253359079360962,
0.5220233201980591,
-0.24968169629573822,
0.21326665580272675,
-0.4710019528865814,
-0.017427654936909676,
-0.8098131418228149,
0.22557462751... |
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Input: 13, ['2721', '525', 'o', 'J', '8957', 'g', '9289', '5257', '9545', '8545', 'H', '... | 2721, 525, o, J, 8957, g, 9289, 5257, 9545, 8545, H, m, m | 3 | NIv2 | task063_first_i_elements | zs_opt | [
-0.34894365072250366,
0.3095017075538635,
-0.28271788358688354,
-0.6324102878570557,
-0.2780301868915558,
-0.48239460587501526,
-0.02776913344860077,
0.2246241271495819,
-0.37128156423568726,
-0.11766332387924194,
-1.374901533126831,
-0.42922061681747437,
-0.08230551332235336,
-0.284647762... |
Detailed Instructions: In this task, you're given a review from Amazon and 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. Your task is to generate whether the rating matches the review or not. Answer with "True" if the s... | True | 9 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
0.10734280198812485,
-0.20372825860977173,
-0.9291132688522339,
-0.036022208631038666,
0.39479780197143555,
-0.19828249514102936,
0.6080136299133301,
0.6604523658752441,
-0.4176381528377533,
0.10960963368415833,
-0.02282853052020073,
0.25120168924331665,
0.23816770315170288,
0.064486086368... |
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.
['4933', 'w', 'e', '5495', '4577', 'k', 'e', '9065', 'a', 's', ... | a, e, g, j, k, l, s, w | 0 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.4576098918914795,
0.6052502393722534,
0.2726154327392578,
-0.2490215301513672,
0.22890940308570862,
0.1278374046087265,
1.1494956016540527,
-0.408786416053772,
-1.0860512256622314,
0.5467041730880737,
-0.4426204562187195,
-0.11642363667488098,
-0.10182587802410126,
-0.13942782580852509,... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | False | 4 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.03645545244216919,
0.5560775995254517,
0.10656573623418808,
-0.3183179199695587,
-0.29683858156204224,
-1.1648948192596436,
0.6286584138870239,
0.27539747953414917,
0.5690755248069763,
-0.33550333976745605,
-0.4457201063632965,
0.14565041661262512,
-0.7592450976371765,
-0.07503081858158... |
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 options.
--------
Question: Context: The Springer Building at 121 Tijeras Ave. NE in Albuquerque New Mexico was built in 1929... | 5
| 7 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.0239949319511652,
0.18887606263160706,
0.024966556578874588,
0.35943475365638733,
-0.0633746087551117,
0.1246061623096466,
0.23786069452762604,
0.44772183895111084,
0.03788231685757637,
0.03764420002698898,
-0.3061150908470154,
-0.20724165439605713,
-0.2924143075942993,
-0.18750134110450... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Ex Input:
رئیس دیوان عالی کشور چگونه انتخاب میشود؟ <sep> (A) توسط وزیر دادگستری و تأیید هیئت وزیران (B) توسط رئیس قوه قضائیه و با مشورت قضا... | B
| 1 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
-0.7563146352767944,
0.4482437074184418,
-0.4923551678657532,
0.5422574281692505,
-0.8820903301239014,
0.3856424391269684,
0.8283494710922241,
0.512882649898529,
0.10243453830480576,
0.143832266330719,
-0.5212732553482056,
0.44632333517074585,
0.024047620594501495,
0.12572425603866577,
0... |
instruction:
In this task, you are given a sentence in Persian, and your task is to translate it into English.
question:
با لحنی بسیار معقول ادامه داد: دو تا بچه کوچک دارد
answer:
She has, he continued, very reasonably, two small children
question:
مارتین با آنکه تمایلی به این کار نداشت پیش بقال رفت،
answer:
Reluctan... | She was a little surprised that he could spend so many hours with Miss Crawford, and not see more of the sort of fault which he had already observed,
| 9 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
0.07342582195997238,
0.7448772192001343,
-0.1758999228477478,
-0.5389764308929443,
-0.505172848701477,
-0.18165487051010132,
1.0020893812179565,
-0.3885377049446106,
0.641151487827301,
-0.14145433902740479,
-0.37001752853393555,
0.7937442064285278,
-0.770089328289032,
0.22656144201755524,
... |
You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
Example Input: Sentence: Now Kathmandu boasts several luxury such as the H... | Snakes.
| 3 | NIv2 | task051_multirc_correct_answer_single_sentence | fs_opt | [
0.022134773433208466,
0.36605915427207947,
-0.31283634901046753,
-0.28813397884368896,
-0.5215758085250854,
-1.3325878381729126,
-0.3388749957084656,
0.216742143034935,
-0.12765008211135864,
-0.8005244731903076,
-0.16930457949638367,
0.6273417472839355,
-0.6095396280288696,
-0.251537501811... |
Definition: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Input: " ကျွန်ုပ်တို့ အသုံးပြုခဲ့ သော နည်းဗျုဟာများ ကို အမေရိကန် ညီလာခံ ၏ သင့်လျော်သော အဖွဲ့ဝင်များ ထံသို့ ပြည့်စုံစွာ ထုတ်ဖော်ပြောခဲ့သည် " ဟု လည်း ဘုရှ် က ထောက်ခံပြောကြားခဲ့သည် ။
Output: | Bush also claimed that "the techniques that we used have been fully disclosed to appropriate members of the US Congress." | 2 | NIv2 | task538_alt_translation_bu_en | zs_opt | [
0.34899812936782837,
-0.197476327419281,
0.14200937747955322,
0.16802875697612762,
0.02181139960885048,
-1.5658185482025146,
0.6862600445747375,
0.1739509105682373,
0.19659298658370972,
0.3650999069213867,
0.020169910043478012,
0.16407901048660278,
0.35639259219169617,
0.36050868034362793,... |
Given the task definition and input, reply with output. In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Def... | eq { count { filter_eq { all_rows ; premier date ; 2004 } } ; 4 } | 5 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.2389126718044281,
0.1340533196926117,
-0.30947941541671753,
0.6194590330123901,
0.18089312314987183,
-0.45009028911590576,
0.5719119310379028,
0.49043846130371094,
0.10924752056598663,
-0.34165892004966736,
-0.44629502296447754,
0.12508559226989746,
-0.19170136749744415,
0.35519886016845... |
Detailed Instructions: In this task, you will be shown an incorrect English sentence. You need to generate a corrected form of the input sentence.
Q: for example : a man whose hobbies is playing football , he must want to play the ball day until night and night until day again .
A: | For example , a man whose hobby is playing football must want to play the ball day until night , and night until day again . | 9 | NIv2 | task1557_jfleg_answer_generation | zs_opt | [
0.44682931900024414,
0.7126024961471558,
-0.17816756665706635,
-0.1202191561460495,
-0.10944270342588425,
-0.8486732840538025,
0.567096471786499,
-0.13807392120361328,
-0.5490003824234009,
-0.5313484072685242,
-0.5746065974235535,
0.09008507430553436,
-0.7669483423233032,
-0.42373225092887... |
You need to answer the question 'Are the given steps in order?', given a set of steps describing a process. Your answer must be either Yes or No. If the answer is No, that means the steps are out of order and do not make sense in the order they are in. If the answer is Yes, that means the steps are in order and make se... | No
| 1 | NIv2 | task1548_wiqa_binary_classification | fs_opt | [
0.8367311954498291,
0.07046923041343689,
-1.036902666091919,
0.7373902797698975,
0.1714295744895935,
-0.5777478218078613,
-0.5520709753036499,
1.0008394718170166,
-0.5484317541122437,
0.5363163948059082,
0.2809455394744873,
-0.3875240683555603,
-0.05470063537359238,
-0.3379923701286316,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Wiemy też, że większość z nas nie może tego zrobić, a nawet dla tych, którzy mogą, nie jest to proste. | ただ実際に見られない人がほとんどですし見る余裕がある人にとっても面倒なことです | 0 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.6209411025047302,
1.0560802221298218,
0.20095926523208618,
-0.2766169309616089,
0.03178161382675171,
-0.21205389499664307,
0.8290224075317383,
-0.39694249629974365,
0.6739813685417175,
-0.48106127977371216,
-0.7224341034889221,
0.15453341603279114,
-0.4744640290737152,
0.840518712997436... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: in an election between two candidates , one got 45 % of the total v... | a | 5 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.6340372562408447,
0.8410261869430542,
0.15878915786743164,
0.43906646966934204,
-0.6240637302398682,
-0.06022701784968376,
0.5947320461273193,
0.39880236983299255,
0.030995119363069534,
-0.1318550407886505,
-0.8310056924819946,
0.22159594297409058,
-0.31521618366241455,
-0.1412230432033... |
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... | the maglev train is used for moving what?
| 6 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.3176965117454529,
0.6257740259170532,
-0.24765196442604065,
0.08464726060628891,
-0.8071249127388,
-0.6163350343704224,
0.49186140298843384,
0.5514735579490662,
0.08221296966075897,
-0.6205319166183472,
-1.0550918579101562,
0.045220084488391876,
-0.1973772943019867,
0.059628214687108994,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Example input: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Example output: A fines del verano estamo... | Y comienza a trabajar cada mañana a las cuatro de la madrugada. | 3 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.7569937705993652,
0.8507652878761292,
-0.43838202953338623,
-0.033061012625694275,
-0.7924346923828125,
0.06663542240858078,
0.7592182159423828,
0.75761878490448,
0.47049134969711304,
-0.22772249579429626,
-0.16129526495933533,
0.04408450424671173,
-0.36789998412132263,
-0.3174816370010... |
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".
Japanese: ニュージーランド・ヘラルドは香港のケーブルテレビが「その回転翼機は機械の問題が起きて水上に緊急着陸を行った」と言ったのを引用した。
... | Yes | 0 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5655230283737183,
0.5324808359146118,
0.47994881868362427,
0.0564342699944973,
0.39736035466194153,
-0.3251006305217743,
0.7176389694213867,
0.05025080591440201,
-0.2538487911224365,
-0.5260627269744873,
-0.4159248471260071,
0.21587137877941132,
-0.7490715980529785,
0.6560891270637512,
... |
Teacher: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' will be 'onesev... | 280427363 | 6 | NIv2 | task1443_string_to_number | zs_opt | [
-0.6168360114097595,
0.9970316290855408,
-0.18214136362075806,
-1.3053975105285645,
-0.3656890094280243,
-0.5645737648010254,
0.6979420781135559,
0.31515637040138245,
-0.41534411907196045,
-0.593657910823822,
-0.30373257398605347,
0.789252758026123,
-1.0914266109466553,
-1.0581471920013428... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Example: A herd of sheep standing together grazing in a pasture.
Example solution: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Example explanation: The translated sentence also ta... | Solution: આંખનું સ્તર પ્રતિ-દૃશ્ય વાદળી ટાઇલ, એક પ્રવાહી વહેવાનો હરકોઈ જાતનો નળ, વાનગી સ્ક્રબર, બાઉલ્સ, એક સ્ક્વેર બોટલ અને સમાન રસોડું વસ્તુઓ બતાવે છે. | 5 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.21315743029117584,
0.3916774392127991,
0.17285555601119995,
-0.19202038645744324,
0.4626854658126831,
-0.814876139163971,
-0.539375901222229,
0.17136211693286896,
-0.24057167768478394,
-0.331102579832077,
-0.4960210621356964,
0.16778182983398438,
-0.6081465482711792,
0.04061348363757133... |
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
Example input: آب و هوای مناسب برای رشد گندم شرایط ایدهآل برای رشد گندم ، آب و هوای خنک در دوره رشد رویشی ، آب و هوای معتدل در دوران تشکیل دانه و... | قطر | 3 | NIv2 | task467_parsinlu_rc_answer_generation | fs_opt | [
-0.08954297006130219,
1.1275538206100464,
-0.620657205581665,
-0.13335299491882324,
-0.8071897029876709,
-0.6609721779823303,
0.11140653491020203,
0.5907154679298401,
0.3203616142272949,
0.6203547120094299,
-0.9948012828826904,
0.06375706195831299,
-1.0383989810943604,
0.38855457305908203,... |
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two... | 7
| 0 | NIv2 | task244_count_elements_in_set_union | fs_opt | [
0.6369619369506836,
0.45846298336982727,
-1.4299311637878418,
0.38778674602508545,
-0.2511909306049347,
-0.5504246354103088,
0.8307236433029175,
0.6796700954437256,
-0.5385910868644714,
-0.4211694598197937,
-1.1169921159744263,
0.14263778924942017,
-0.07734483480453491,
-0.0724008977413177... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Q: Nie jako antyki. Które są wciąż produkowane?
A: | לא ענתיקות. ברצוני לדעת כמה מהדברים הללו עדיין מייצרים היום. | 4 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.41833993792533875,
1.002596139907837,
0.06493394821882248,
0.8328568935394287,
-0.06150558590888977,
-0.3696403205394745,
0.42750734090805054,
-0.33945953845977783,
0.12031866610050201,
-0.14791247248649597,
-0.4386489689350128,
0.2942025661468506,
-0.5495851039886475,
0.578949689865112... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: Why doctors generally have poor handwriting?, Question2: Why do majority of doctors have bad handwriting?
A: | Yes | 4 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-1.1063942909240723,
0.3257189989089966,
0.45882493257522583,
-0.522659420967102,
0.5099610686302185,
-0.9373487234115601,
-0.2189141809940338,
0.9924582839012146,
0.585209846496582,
0.12087459862232208,
-0.33849892020225525,
-0.10381700843572617,
-0.22865712642669678,
-0.09645871818065643... |
Q: This task is about translating a given English language sentence to Spanish.
'Okay, there's the rate of surplus-value, and there's the number of labourers you employ, or variable capital you invest.
A: | Bueno, existe una tasa de plusvalía y un número de trabajadores empleados o el capital variable que se invierte. | 7 | NIv2 | task1691_qed_amara_translation | zs_opt | [
-0.9012413024902344,
1.042159914970398,
-0.5984416007995605,
-0.14891162514686584,
-0.5230157375335693,
0.017694562673568726,
0.4054903984069824,
1.1934115886688232,
0.532651960849762,
-0.543583869934082,
0.13651134073734283,
0.2896896004676819,
0.22719119489192963,
0.04088245704770088,
... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Solution: Against | 5 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.12477383017539978,
0.7047114968299866,
0.24704217910766602,
0.4239127039909363,
-0.5716395974159241,
-0.8813024759292603,
0.46618714928627014,
0.8323920965194702,
0.08822041004896164,
0.4412952661514282,
-0.3378145098686218,
-0.10438375920057297,
-0.06880869716405869,
-0.424780279397964... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer... | A | 1 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.30997204780578613,
0.07518777996301651,
-0.2471187263727188,
0.5563551783561707,
0.11123685538768768,
0.1310020387172699,
0.2952633500099182,
0.8673336505889893,
-0.1892850697040558,
-0.08220747113227844,
-0.6904760003089905,
-0.180823415517807,
1.0606088638305664,
-0.5973488092422485,
... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Q: Delirium has recently been shown as a predictor of death, increased cost, and longer duration of st... | 0 | 4 | NIv2 | task848_pubmedqa_classification | zs_opt | [
-0.019923245534300804,
-0.16066871583461761,
-0.3250715136528015,
-0.3803442716598511,
0.27604764699935913,
-0.23407767713069916,
0.5448442697525024,
0.661663830280304,
-0.41573262214660645,
0.4828599691390991,
-0.6837098598480225,
0.026718102395534515,
-0.14613831043243408,
-0.18721470236... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
| 7 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.3764377534389496,
0.4524732232093811,
-0.28324025869369507,
0.2779480218887329,
0.8041360378265381,
-0.3805485963821411,
0.6203497648239136,
0.9480479955673218,
0.09286574274301529,
0.4701656997203827,
0.009004177525639534,
0.2727097272872925,
-0.4558083415031433,
0.1117003858089447,
0... |
Part 1. Definition
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 the simpler piece of text. You are ex... | Text one | 7 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.508895754814148,
0.1791798323392868,
0.35395726561546326,
-0.4325198829174042,
-0.013354361988604069,
-0.8936929106712341,
0.818757176399231,
0.7417879700660706,
-0.27346301078796387,
0.27996325492858887,
-0.6520265340805054,
0.14096924662590027,
-0.6413654088973999,
-0.2386460602283477... |
Q: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in th... | 5b, 1c | 7 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.5385929942131042,
0.1807308942079544,
-0.11802370101213455,
0.5171489715576172,
0.4208727180957794,
-0.15093864500522614,
-0.11771330237388611,
1.0570096969604492,
0.10149233043193817,
0.6558360457420349,
0.23444566130638123,
-0.22849932312965393,
0.2580704689025879,
-0.7995789051055908... |
Q: 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 det... | Yes | 7 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.34121444821357727,
0.11150471866130829,
0.5147709250450134,
0.10387930274009705,
-0.7474666833877563,
-0.8819341659545898,
0.9163596034049988,
0.7973508834838867,
-0.46083828806877136,
-0.32119306921958923,
-0.7213274240493774,
-0.45042067766189575,
-0.22094306349754333,
0.18235713243484... |
TASK DEFINITION: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
PROBLEM: ['9417', 'z', 'v', '1383', '9099', 'C', 'n', 'z', 'S', 'm', 'q', '6715', '5139', 'A', 'd', 'q',... | l, X, K, g, V, n, h, a, Q, A
| 8 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
0.0661398395895958,
0.47083497047424316,
-0.4554658830165863,
-0.6697671413421631,
0.08597124367952347,
0.3103170096874237,
0.5606508255004883,
-0.25933122634887695,
-0.023613756522536278,
0.26239028573036194,
-0.3311607837677002,
-0.07397085428237915,
0.012109829112887383,
0.2467539608478... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
قرن گذاشته ، خصوصا سال ۱۸۷۰ ، برای بچه ها در اروپا زمان بسیار بدی بوده است ، چرا که اغلب این آمار از اروپا است. | The last century, 1870, was bad for the kids in Europe, because most of this statistics is Europe. | 0 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
0.1704646646976471,
1.2570501565933228,
-0.574602484703064,
0.2958514094352722,
-0.7242714166641235,
0.2942121624946594,
0.4667816758155823,
0.8771965503692627,
0.6927551627159119,
0.11740145087242126,
-0.4270542562007904,
1.0257320404052734,
-0.7362600564956665,
0.7395161390304565,
0.26... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must b... | [['[TABLECONTEXT]', '[TITLE]', 'Florent Piétrus'], ['2007 EuroBasket', 'GAMES_PLAYED', '7'], ['[TABLECONTEXT]', 'TOURNAMENT', '2007 EuroBasket']] | 0 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.07798159122467041,
0.2311394214630127,
-0.9414494037628174,
0.10801632702350616,
-0.26015111804008484,
0.11074267327785492,
0.6915303468704224,
0.5752929449081421,
0.48847562074661255,
-0.5284852385520935,
-0.3756725788116455,
0.21653282642364502,
-0.15528342127799988,
0.621932268142700... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Dan feel(s) grateful >Motivates> Dan is relieved
| 5 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.43278974294662476,
0.06031952053308487,
-0.16847483813762665,
0.437587171792984,
0.13798636198043823,
-1.259347677230835,
0.34425121545791626,
0.36193084716796875,
-0.5531326532363892,
0.1558028757572174,
-0.6434583067893982,
0.08151756227016449,
-0.39942309260368347,
-0.0802846252918243... |
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 | [
-0.34708014130592346,
0.25631198287010193,
0.1789206862449646,
0.18779364228248596,
-0.29780226945877075,
0.5230197906494141,
0.5338298678398132,
0.8914943933486938,
0.3617316484451294,
-0.5692610144615173,
-0.8767460584640503,
-0.4298299551010132,
-0.00312463054433465,
-0.0451618395745754... |
Q: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: what would you like today? YOU: i'd like 2 books and a hat THEM: i need the hat because i just moved to texas but am willing to share the balls and books YOU: i'll take 3 books 1 ball T... | Yes | 7 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.49432843923568726,
0.29056403040885925,
0.2604435384273529,
0.6999642252922058,
0.35095053911209106,
-0.7136615514755249,
0.04651521146297455,
-0.11090201884508133,
0.1299389898777008,
-0.25705814361572266,
0.3218860328197479,
-0.06820476800203323,
-1.098290205001831,
-0.4738111495971679... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
They seem nice enough. However, wit... | Bad review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7319416403770447,
0.504536509513855,
-0.03029133751988411,
0.09508518129587173,
0.1498388946056366,
-0.3930051326751709,
0.3075784742832184,
0.7689570784568787,
-0.22946205735206604,
0.6760170459747314,
-0.20722080767154694,
0.49997997283935547,
-0.27757424116134644,
-0.1933988183736801... |
Detailed Instructions: In this task, you will be presented with a question that has multiple possible answers. You should choose the most suitable option out of "A", "B", "C", "D", and "E", based on your commonsense knowledge.
Problem:Question: Boredom and hunger led to a wandering waste of time and a cart full of unhe... | A | 8 | NIv2 | task1135_xcsr_en_commonsense_mc_classification | zs_opt | [
0.4167112410068512,
0.47866207361221313,
-0.6692098379135132,
-0.7618066072463989,
-0.13255567848682404,
-0.7954347133636475,
0.4764444828033447,
-0.02504127472639084,
0.4064738154411316,
-0.21709449589252472,
0.2467108517885208,
0.1222652792930603,
-0.0795132964849472,
-0.5914424657821655... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: 携帯を充電したんですが
A: | Se asegura de que el teléfono está cargando. | 4 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.438854455947876,
0.987486720085144,
-0.09707743674516678,
-1.3946278095245361,
-0.33359718322753906,
-1.2931032180786133,
0.8300567865371704,
0.07500146329402924,
-0.1926148235797882,
-0.5355029702186584,
-0.3393659293651581,
0.2210809290409088,
-1.0679187774658203,
0.06676527112722397,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
--------
Question: E, de súpeto, temos que empezar a manter o noso segundo eu.
Answer: אז פתאום אנחנו צריכים לתחזק את הזהות השניה שלנו.
Question: Xuntamos un equipo de científicos rivais o mellor e máis brillante entre ... | יצרנו מולקולות דומות לאמיתיות שראיתם אבל עם הבדל קטן -
| 7 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.7664498090744019,
0.6149857044219971,
0.17814242839813232,
-0.09716542065143585,
-0.44969111680984497,
-0.5700904130935669,
0.24441736936569214,
0.008393742144107819,
0.1333652138710022,
-0.24513891339302063,
-0.6512863039970398,
0.29657408595085144,
-1.2971153259277344,
0.1845296025276... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: Ne ho portato per i suoi genitori.
A: Tamén para os seus pais.
****
Q: Questo particolare evento è stato ispirato da un momento in cui mi sono imbattuto.
A: Así que este acontecemento concreto inspirouse nun momento ... | E ben sei que non é doado.
****
| 4 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.12679795920848846,
0.8591394424438477,
-0.11434406042098999,
-0.23082931339740753,
-0.8380189538002014,
-1.7306523323059082,
0.15149250626564026,
1.5641539096832275,
-0.020595982670783997,
0.06343061476945877,
-0.15488307178020477,
0.8573547005653381,
-1.1361501216888428,
0.097907610237... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Gateway Arch National Park -- The Gateway Arch National Park, formerly known as the Jefferson National Expansion Memorial ... | is the st louis arch a national monument | 0 | NIv2 | task1660_super_glue_question_generation | zs_opt | [
-0.175399512052536,
-0.2861790060997009,
-0.3033778667449951,
-0.041511211544275284,
-0.5530263185501099,
-0.5112429261207581,
-0.025662453845143318,
0.05661645159125328,
0.126150444149971,
0.20256797969341278,
-0.21059884130954742,
-0.5568927526473999,
-0.5432741641998291,
-0.049079079180... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | a | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
-0.20477941632270813,
0.3076270520687103,
-0.669996440410614,
-0.20316395163536072,
-0.24596494436264038,
-0.20478327572345734,
0.2426275610923767,
1.1349565982818604,
0.120701864361763,
0.03363639488816261,
-0.6242309212684631,
0.9707502722740173,
-0.48176658153533936,
0.10559810698032379... |
In this task, you need to reverse the order of words in the given sentence.
Input: Consider Input: Sentence: train cars passing under a bridge at a train station
Output: station train a at bridge a under passing cars train
Input: Consider Input: Sentence: a lot of food on a wooden table with a plant
Output: plant ... | Output: up push a of middle the in food some of bite a takes man a
| 2 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.7429742813110352,
0.8247460722923279,
-0.4789851903915405,
-0.8429439663887024,
-0.08092860877513885,
-0.8383448123931885,
-0.008769185282289982,
0.46589773893356323,
0.3368724286556244,
-0.9024147391319275,
-0.9291138648986816,
-0.30390360951423645,
-0.385172963142395,
0.213865131139755... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener
| 7 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.030207056552171707,
0.744814395904541,
-0.07480968534946442,
0.556573748588562,
-0.17455533146858215,
-0.7434787750244141,
0.6779172420501709,
0.8943620324134827,
0.5896601676940918,
-0.308854877948761,
-0.9530654549598694,
-0.0063647017814219,
-0.7084625363349915,
-0.1625107228755951,
... |
Detailed Instructions: This task is to translate the Telugu Language Input to English Language Output
Problem:సాకర్ సమరంలో అగ్రశ్రేణి జట్టు అర్జెంటీనా నాకౌట్ దశలోనే ఇంటిముఖం
Solution: | Somany Ceramics to set up greenfield tiles plant in Andhra Pradesh | 8 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
0.2367199808359146,
0.41310641169548035,
-0.4036118984222412,
-0.037017472088336945,
0.43460968136787415,
0.7091261744499207,
0.27602192759513855,
0.5775110721588135,
0.0035059968940913677,
0.11026819050312042,
0.16774378716945648,
-0.1578921526670456,
-0.7987279891967773,
-0.2943922877311... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [-89, 67, 85, -35, 41, 68, -109, 28] | 0 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.23670001327991486,
-0.06289246678352356,
-0.5748184323310852,
-0.45732223987579346,
0.056782498955726624,
0.24255168437957764,
0.8022656440734863,
0.5420030355453491,
-0.3142654597759247,
0.07787953317165375,
-0.8554570078849792,
0.21103914082050323,
-0.2522006630897522,
-0.3008447885513... |
Definition: In this task your given two statements in Thai. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: ผู้หญิงเอานิ้วจุ่มในนำเย็น
เขาโดนที่ปิ้งขนมปังลวกม... | cause | 2 | NIv2 | task1179_xcopa_commonsense_cause_effect_th | zs_opt | [
-0.8069595098495483,
-0.38931798934936523,
-0.35964325070381165,
-0.16851264238357544,
-0.11048728227615356,
-0.0496847927570343,
0.7088108062744141,
0.5453715920448303,
-0.03948712348937988,
-0.29385626316070557,
-0.4293162524700165,
0.14164572954177856,
-0.18726050853729248,
0.3690830171... |
Given the task definition and input, reply with output. In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
3 lb. ground meat (very lean), 1 bell pepper, chopped, 2 onions, chopped, 1 large (28 oz.) can crush... | ground meat, bell pepper, onions, tomatoes, water, Ro-Tel, beans, beans, hot pepper, clove garlic | 5 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.28366929292678833,
0.5599381923675537,
0.025258325040340424,
0.7070451974868774,
-0.23398146033287048,
-0.30253273248672485,
0.8549450635910034,
0.609717845916748,
-0.40786680579185486,
-0.42150282859802246,
-0.03081173449754715,
0.15723952651023865,
-0.8350424766540527,
-0.076009720563... |
Detailed Instructions: 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 sta... | No | 8 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-0.544281542301178,
-0.059720728546381,
0.6127640604972839,
0.3710365295410156,
0.4074678421020508,
-0.050113700330257416,
-0.028780672699213028,
0.6582896709442139,
0.6024646759033203,
0.5770583152770996,
0.23295384645462036,
-0.20677481591701508,
-0.4515272378921509,
-0.07924249768257141... |
Teacher: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Teacher: Now, unders... | user | 2 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.037977445870637894,
0.5650737881660461,
-0.47285836935043335,
-0.877859354019165,
-0.21379882097244263,
-0.31768593192100525,
1.1987602710723877,
-0.37671634554862976,
1.0577754974365234,
-0.24318525195121765,
0.18481431901454926,
0.055837083607912064,
-0.37357091903686523,
0.1153587698... |
Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too comple... | a b c it's all bout m3 i'm sweet mean and funny | 3 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.7556488513946533,
1.6160929203033447,
-0.0824132114648819,
-1.1897356510162354,
-0.2567088007926941,
-0.416576623916626,
0.4783112406730652,
0.41719794273376465,
0.057192571461200714,
-0.7442716360092163,
-0.9482465386390686,
0.5257002115249634,
-0.43788301944732666,
-0.3159543573856354... |
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 previous situation that led X to ask this question.
Example: Do you want to see that movie?
Example solution: Y has just travel... | Solution: Y has just moved into a neighbourhood and meets his/her new neighbour X. | 5 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.5291881561279297,
0.5858875513076782,
-0.47961074113845825,
0.44205597043037415,
0.12568458914756775,
-0.34412840008735657,
0.13337644934654236,
0.33738386631011963,
0.07684928178787231,
-0.24312454462051392,
-0.753280520439148,
0.14441737532615662,
-0.7819777727127075,
0.19415906071662... |
Given the task definition and input, reply with output. You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given questio... | Option C | 5 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.3430611491203308,
0.6901066303253174,
-0.5402952432632446,
0.4445733428001404,
0.06438378244638443,
-0.10826501250267029,
0.4298087954521179,
0.7485610246658325,
-0.09204354137182236,
-0.6058306694030762,
-0.6655024290084839,
-0.08214373886585236,
0.2716619074344635,
-0.27958694100379944... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
Example input: original question: Which class of computer peripheral supp... | Yes | 3 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.8504894971847534,
0.30554473400115967,
0.2726769745349884,
0.10863062739372253,
-0.3737562298774719,
-0.40496599674224854,
0.5874212980270386,
0.3716226816177368,
0.5057942867279053,
-0.1529504358768463,
-0.3703925311565399,
0.4152641296386719,
-0.33171138167381287,
0.47094660997390747,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
سالی در کنار ساحل ماند.
Output: | Solly quedou na ribeira. | 1 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.27440494298934937,
0.9906937479972839,
-0.5448489785194397,
-0.9448429346084595,
-0.4385116696357727,
-0.4441016912460327,
0.4922811686992645,
0.8012675046920776,
0.17634820938110352,
0.2069246768951416,
0.05485071241855621,
0.1629098653793335,
-0.3549688458442688,
0.4108405113220215,
... |
Part 1. Definition
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Part 2. Example
I have bought several of the Vitality canned dog food products and have found... | Not Working for me | 7 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.14355190098285675,
-0.2316361665725708,
-0.22018547356128693,
-0.08578693866729736,
0.23285652697086334,
-0.07194193452596664,
0.3519403636455536,
0.7806198596954346,
-0.39488711953163147,
0.22992068529129028,
-0.10605606436729431,
-0.07957848906517029,
-0.4742079973220825,
-0.466812252... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Ex Input:
It may be integral with the overall or life jacket or may be worn over these.
Ex Output:
Uyofuneka kwi everdlo okanye ibhotyi yekudoda okanye... | Ilungu elilibhinqa linakoukwenza isicelo sentsuku ezingama-84 zekhefu lokuya kubeleka ubuncinane ukubeleka kabini.
| 1 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.052604205906391144,
0.2509583532810211,
0.06437535583972931,
0.19671115279197693,
-0.12912872433662415,
-0.4453566074371338,
0.5452060103416443,
0.833121657371521,
0.6700050830841064,
-0.0743713527917862,
-0.9485350251197815,
0.2796770930290222,
-0.6082410216331482,
-0.2597110867500305,... |
Q: You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ലൂയിസെ അല്ലൻറെയും (നേരത്തേ, പാർലാൻഡ്) ഗിൽമാൻ സ്കൂളിലെ ഇംഗ്ലീഷ് അദ്ധ്യാപകനായിരുന്ന അലക്സാണ്ടർ ആംസ്ട... | മേരിലാൻഡിലെ | 7 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
0.14985652267932892,
0.7424099445343018,
-0.11954110860824585,
-0.07994559407234192,
-0.20732954144477844,
-0.4184224009513855,
-0.6227703094482422,
0.6059994697570801,
0.5136539340019226,
0.2884899079799652,
0.43197664618492126,
0.42601293325424194,
-0.4952196478843689,
-0.067341208457946... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: وكل ما أنجز.. يمكن إنجازه بـشكل أفضل
Student: | 作られたどんなものでも、もっと上手くできたかもしれません | 6 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
0.10722708702087402,
0.6894342303276062,
0.1684509515762329,
-0.6893828511238098,
-0.5814366340637207,
0.19676116108894348,
0.9418408274650574,
0.8512857556343079,
0.5388728976249695,
-0.575632631778717,
-0.31029680371284485,
-0.1843249350786209,
-0.6406235098838806,
0.2929707467556,
0.5... |
Q: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: <MASK> ૧ - પ્રભુ ઉપવન બંગલો, ભક્તિ સેતુ હવેલીની બાજુમાં, સરવાડા રોડ, ગુંજન, વાર - દર શુક્રવાર, સમય ... | વાપી | 7 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.18659576773643494,
0.7988250851631165,
0.0302197877317667,
0.10851340740919113,
-0.9611987471580505,
-1.2105408906936646,
0.48630452156066895,
-0.2947124242782593,
0.2899438738822937,
-0.6720372438430786,
-0.3745132088661194,
0.23666642606258392,
-0.009017417207360268,
0.017983954399824... |
Teacher: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'breakfast and a glass of m... | baseball player batting up at home plate | 2 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.39226794242858887,
0.17372526228427887,
-0.2723526358604431,
-0.4687606990337372,
0.3243047297000885,
-0.715368390083313,
0.1903115212917328,
0.31646573543548584,
-0.007416145410388708,
-0.31501317024230957,
-0.8024954795837402,
-0.30417898297309875,
-0.6632969379425049,
-0.5433104634284... |
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 your given two statements in Swahili. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgmen... | effect | 0 | NIv2 | task1175_xcopa_commonsense_cause_effect_sw | fs_opt | [
-0.6082380414009094,
0.23049508035182953,
0.03973217308521271,
-0.5988077521324158,
-0.37841373682022095,
-0.46194493770599365,
0.8219625353813171,
0.6385265588760376,
0.7019455432891846,
-0.21507346630096436,
-0.08050895482301712,
-0.08433030545711517,
-0.49925118684768677,
0.224187627434... |
You are given a statement written in Hindi. 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: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, <MASK>, ग्लासगो, मेल... | Solution: रेल | 5 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.001032392494380474,
0.3254210352897644,
0.01493454072624445,
-0.14359940588474274,
0.29782822728157043,
-0.25057661533355713,
-0.20351022481918335,
0.7656029462814331,
-0.6505382061004639,
0.015440072864294052,
0.020991727709770203,
0.09011366963386536,
-0.2623375356197357,
-0.3006993234... |
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 topic of gun control. An ... | Valid
| 6 | NIv2 | task150_afs_argument_quality_gun_control | fs_opt | [
0.06359706819057465,
0.6531366109848022,
0.6634311676025391,
-0.5850372910499573,
-0.23773114383220673,
-1.833237648010254,
0.4952400326728821,
0.49305784702301025,
0.5825587511062622,
0.16015684604644775,
-0.685853123664856,
-0.5634151101112366,
-0.5643486976623535,
-0.13923755288124084,
... |
Definition: In this task, given a sentence in the Central Khmer language, your task is to convert it into the English language.
Input: ការស្ថាបនាអាវុធអាតូមិកនៅអាល់ដឺម៉ាសតុនត្រូវបានរាយការណ៍ថា នឹងត្រូវអភិវឌ្ឍជាអាវុធនុយក្លេអ៊ែរតាតទិច ដែលតូចជាង និងប្រវែងខ្លីជាងមីស៊ីលក្បាលបីដែលសមស្របសំរាប់ការបាញ់ ដោយប្រើប្រាស់ឧបករណ៍ចុះចតប្រ... | The atomic weapons establishment at Aldermaston is reported to be developing tactical nuclear weapons, smaller and of shorter range than Trident suitable for firing using the same type of launcher as Tomahawks. | 2 | NIv2 | task541_alt_translation_kh_en | zs_opt | [
0.18781906366348267,
0.5015247464179993,
0.15513822436332703,
-0.5045511722564697,
0.20208996534347534,
-0.9369664788246155,
-0.14507970213890076,
0.9610803723335266,
0.029467692598700523,
0.29751962423324585,
-0.03540526330471039,
0.026026330888271332,
-0.4364345669746399,
-0.076075941324... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
--------
Question: And as my first act as mayor,
Answer: وكأول تصرف لي كعمدة،
Question: - Alpha team - moving northwest.
Answer: - فريق ألفا - المنطقة الشمالية الغربية المؤثّرة.
Question: When is it ever just q... | -ومتىّ كان الأمر يقتصر على خفيّ فحسب؟
| 7 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.2797331213951111,
0.6675000190734863,
-0.15183988213539124,
-0.1916148066520691,
-0.4704582691192627,
-0.28983408212661743,
0.3418680429458618,
0.6871254444122314,
0.6525697708129883,
-0.5424582958221436,
-0.20966747403144836,
0.19843406975269318,
-1.382118582725525,
-0.2154707312583923... |
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. Generate either Comple... | Completion D | 4 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
0.10499173402786255,
0.9707417488098145,
0.2501508891582489,
-1.0757194757461548,
-0.535728931427002,
-0.2328459918498993,
0.9532610177993774,
0.007076575420796871,
0.40885668992996216,
-0.3027181029319763,
-0.6535347700119019,
0.18323999643325806,
0.31166818737983704,
-0.08785822242498398... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Example: Sentence1: My dog was bored. Sentence2: I was working all day so I couldn't spend time with him. Sentence3: When I finished work I decided to play with my dog... | Solution: I (myself), Sally | 5 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.23343878984451294,
-0.2151281237602234,
-0.05502722039818764,
-0.10485920310020447,
0.19761085510253906,
-0.8367658257484436,
0.469277560710907,
0.4956808090209961,
0.040279194712638855,
-0.776631236076355,
-0.5946681499481201,
-0.39096570014953613,
-0.16518878936767578,
0.13705345988273... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Example input: name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]
Example output: Located near xnear, xname serves... | The xnear sits near an averagely rated Indian pub known as xname. | 3 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.5694661140441895,
0.9569694995880127,
-0.7463111281394958,
-0.3922883868217468,
-0.905524492263794,
-0.09939044713973999,
0.552780032157898,
0.5949949026107788,
-0.02297363057732582,
-0.7490169405937195,
0.3531937301158905,
-0.2791955769062042,
-0.6352838277816772,
0.07014897465705872,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
ミーム学のポイントは「いや違う」ということです地球上には２つの自己複製子があります | Sednem memetyki jest stwierdzenie "" O, nieprawda "". Na tej planecie występują dwa replikatory. | 0 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.4348546266555786,
0.3301815092563629,
0.18351642787456512,
-0.07629315555095673,
-0.5022212266921997,
-0.1837860494852066,
0.17823973298072815,
-0.2551625072956085,
-0.03700584918260574,
-0.2932114005088806,
-0.8702274560928345,
-0.014315612614154816,
-0.7490997314453125,
0.479204386472... |
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
| 5 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.47192198038101196,
0.06188201159238815,
0.17964354157447815,
-0.03598830848932266,
0.23363327980041504,
-0.9856239557266235,
0.70820552110672,
1.0939717292785645,
0.0600690096616745,
-0.2935042381286621,
-0.18026457726955414,
-0.7120814323425293,
0.16294459998607635,
-0.47673797607421875... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.