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 text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | sadness | 8 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.5563021302223206,
0.09504924714565277,
0.4639292359352112,
-0.33673757314682007,
-0.4266021251678467,
-0.5852516889572144,
0.3659611940383911,
0.5887624621391296,
-0.013008075766265392,
0.05924800783395767,
-0.323538601398468,
-0.21027229726314545,
-0.36765557527542114,
0.05551874637603... |
You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Ex Input:
The search for Kop... | No
| 1 | NIv2 | task458_matres_negation_classification | fs_opt | [
-0.03697628155350685,
-0.18776626884937286,
-0.2342451959848404,
1.0305442810058594,
0.2503293454647064,
-0.17650006711483002,
0.5566034317016602,
0.5156329870223999,
0.3362310826778412,
0.4684080481529236,
-0.26722097396850586,
0.2172788679599762,
-0.447548508644104,
-0.07432525604963303,... |
Part 1. Definition
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... | Sentence 1: PersonX was so happy to have won the makeover, but not PersonY; _ hated the way they looked.
Sentence 2: PersonX was so happy to have won the makeover, but not PersonY; _ loved the way they looked. | 7 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5481969118118286,
0.1454462707042694,
-0.1486186683177948,
-0.06763482093811035,
0.41777923703193665,
-0.5055496096611023,
0.8655581474304199,
1.059412956237793,
0.22143961489200592,
-0.3832263946533203,
-0.6817745566368103,
-0.11771184951066971,
-0.8108024001121521,
0.2287139594554901,
... |
Given the task definition and input, reply with output. You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. ... | Quantity | 5 | NIv2 | task1289_trec_classification | zs_opt | [
-0.433596134185791,
0.1937837153673172,
-0.006241745315492153,
-0.2504689693450928,
-0.11526070535182953,
-0.21478047966957092,
0.31297215819358826,
0.27462238073349,
0.2508261203765869,
-0.14963647723197937,
-0.8768118619918823,
0.15241968631744385,
-0.27183443307876587,
-0.16419833898544... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Nie wiedziała wtedy, że to początek pracy nad większym projektem - kontaktów usługowych. | 当時の彼女には思いもよりませんでしたがこのアイデアは後にサービス・ネットワークというものに成長します | 0 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.8688647747039795,
0.6054062247276306,
-0.1656552255153656,
0.2580990195274353,
0.11066971719264984,
0.403228759765625,
1.2102081775665283,
0.0850696787238121,
0.25883451104164124,
-0.6708952784538269,
0.4522145390510559,
-0.5028076171875,
-0.42466074228286743,
0.29994362592697144,
0.2... |
Part 1. Definition
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; note tha... | ab | 7 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.4222590923309326,
0.44595301151275635,
-0.12298160791397095,
0.16357845067977905,
0.17297638952732086,
-0.1089702844619751,
0.6855337619781494,
0.9698158502578735,
0.16064000129699707,
0.7063164710998535,
-0.022595800459384918,
-0.19581444561481476,
0.06260491907596588,
-0.2365036755800... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Example: Context: Joanne McLeod is a Canadian figure skating coach. She is the skating director at... | Solution: papua | 5 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.45283442735671997,
0.7345681190490723,
-0.7113913893699646,
-0.2861133813858032,
0.34528425335884094,
0.36648476123809814,
0.5508556365966797,
0.7102128267288208,
-0.4714811146259308,
0.07397463917732239,
-0.1442798674106598,
0.5806810259819031,
-0.6747198700904846,
0.5499995946884155,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
5 تا 5 تا برابر است با ......
Output: | math_and_logic | 1 | NIv2 | task474_parsinlu_mc_classification | zs_opt | [
-0.13568998873233795,
0.2608000934123993,
0.2287490963935852,
0.23463213443756104,
-0.05594916641712189,
0.2795618176460266,
0.8727211952209473,
0.47126489877700806,
0.5963426828384399,
-0.5931456089019775,
-0.7388691902160645,
-0.041126277297735214,
-0.4508121609687805,
0.2687105536460876... |
Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. ... | Milkshake. | 3 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.7198200225830078,
1.159548044204712,
0.057538025081157684,
-0.5476652979850769,
-0.7968712449073792,
-1.1178488731384277,
0.79377281665802,
-0.01755782589316368,
0.399781733751297,
-0.5856056809425354,
-0.7096935510635376,
0.13101442158222198,
-1.2358622550964355,
0.29157108068466187,
... |
Detailed Instructions: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
See one example below:
Problem: Poster: Stopped... | Negative | 4 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.6806470155715942,
-0.01751735992729664,
0.09741554409265518,
0.3882223963737488,
0.290845662355423,
-0.26079031825065613,
0.04381668567657471,
0.5747858881950378,
0.4826579988002777,
0.5094233751296997,
-0.11169388890266418,
0.20908987522125244,
-0.2209911346435547,
0.19070686399936676,... |
Teacher: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? If you are still confused, see the following example:
3, ['a', '34... | 2365, G, A, 4095, Q, z, O, Y, 7517, t, X, 253, 4723, 5121, 4175, a, 9713, 7893 | 2 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.05674980953335762,
-0.2283192276954651,
-0.27075615525245667,
-0.7876647114753723,
0.035393793135881424,
-0.7885015606880188,
0.40796369314193726,
0.5639765858650208,
-0.719287633895874,
-0.021076999604701996,
-0.8242344856262207,
-0.15566597878932953,
0.18061134219169617,
-0.22419166564... |
Teacher:In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Teacher: Now, understand the problem? Solve this instance: We need consist... | English | 6 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.10888805985450745,
0.3836210370063782,
1.0923926830291748,
-0.3444526195526123,
0.13773460686206818,
-0.6311523914337158,
-0.29998213052749634,
1.0988459587097168,
0.021310459822416306,
-0.5603771805763245,
-0.3271733820438385,
-0.20949190855026245,
-0.3322189152240753,
-1.1244161128997... |
Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Input: Event:PersonX drives PersonY to schoo... | happy | 3 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.20918163657188416,
0.10767064988613129,
0.15286433696746826,
-0.3732670545578003,
-0.5923908948898315,
-0.5823096036911011,
0.851094126701355,
0.5300477743148804,
0.3306105136871338,
-0.622331976890564,
0.45729726552963257,
-0.09571446478366852,
-0.30537480115890503,
-0.13557890057563782... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Ex Input:
دختر جوان بتسیمیساراکا
Ex Output:
Young Betsimisaraka girl
Ex Input:
@jenanmoussa: بازگشت به آلپو و ملاقات با دوستان بسیار عالی است.
Ex Output:
@jenanmoussa: Its great to be back in #Aleppo & meet all my fri... | The intention is to monitor and infringe teachers' freedom of speech.
| 1 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.6570949554443359,
0.15732014179229736,
0.06021745502948761,
-0.01693221926689148,
-0.5004153251647949,
-1.1243879795074463,
0.6317455172538757,
0.19921188056468964,
0.4194699227809906,
-0.08528246730566025,
-0.22829526662826538,
0.5624087452888489,
-0.26195859909057617,
0.10290687531232... |
Teacher:In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the ... | Getting rid of any suspicion using your reputation is the key to a successful subterfuge. | 6 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.328080415725708,
0.597718358039856,
0.36817288398742676,
-0.21277272701263428,
-0.030514337122440338,
-0.28646770119667053,
-0.07593615353107452,
0.39446234703063965,
0.5903680324554443,
-0.34004974365234375,
0.03429606184363365,
0.02410838007926941,
-0.9468065500259399,
-0.332111090421... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Ex Input:
Обсъжданията по време на тристранния диалог бяха дълги и трудни, а докладчикът ги направляваше с голяма отдаденост и умение и аз й благодаря за това.
Ex Output:
There ... | on behalf of the PPE-DE Group. - (NL) Madam President, Commissioner, ladies and gentlemen, good evening, I should first of all like to ask you if you could pass on our good wishes to Mrs Kroes.
| 1 | NIv2 | task271_europarl_translation | fs_opt | [
-0.18686214089393616,
-0.3253856301307678,
-0.5656059384346008,
-0.17457595467567444,
-0.14136619865894318,
-0.3733936548233032,
0.025516781955957413,
0.40807831287384033,
-0.20718929171562195,
0.6693575382232666,
-0.44886690378189087,
0.688123881816864,
-0.11237829923629761,
0.01434908434... |
Definition: In this task, an input sentence is given which can be in the English, Bengali, Filipino, Hindi, Indonesian(Bahasa variant), Japanese, Central Khmer, Lao, Malay, Burmese, Thai, Vietnamese or Chinese languages. There are a total of 13 languages. Your task is to identify the language of the input sentence. The... | Khmer | 2 | NIv2 | task562_alt_language_identification | zs_opt | [
0.10420587658882141,
-0.41347262263298035,
0.45573359727859497,
-0.07577849924564362,
-0.08089980483055115,
-0.09708340466022491,
-0.11465154588222504,
-0.006908512208610773,
0.01521078310906887,
-0.1736975759267807,
-0.4894348382949829,
-0.23963356018066406,
0.16257907450199127,
0.0434793... |
Detailed Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Problem:(A) moving my coworkers food
(B) using a Skin that looks like my Ex in ... | A | 8 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.2966400980949402,
0.06831235438585281,
-0.41084372997283936,
0.11837774515151978,
-0.8843753933906555,
-0.04723895713686943,
-0.16860389709472656,
0.5361759662628174,
0.1933293491601944,
0.3662481904029846,
0.14394831657409668,
-0.41380661725997925,
0.18385544419288635,
-0.7799293994903... |
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.
Ex Input:
Context: If we can dress like th... | yes
| 1 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5353516340255737,
0.5263705253601074,
-0.15937921404838562,
0.2181015908718109,
0.3442396819591522,
-0.6823625564575195,
0.14268675446510315,
0.6167021989822388,
-0.24383777379989624,
0.036562975496053696,
-0.49840864539146423,
0.4179314970970154,
-0.22229710221290588,
-0.00317298411391... |
Given the task definition and input, reply with output. Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
123.
| 123? | 5 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.6972953081130981,
0.8695954084396362,
0.43008798360824585,
0.1101827546954155,
0.17946374416351318,
-0.6994131207466125,
0.6069677472114563,
-0.2773251533508301,
-0.10970154404640198,
-0.3567059338092804,
-0.3258015513420105,
0.5159798264503479,
-0.4328548312187195,
0.29579979181289673,... |
Q: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: "With Byetta's demonstrated effects on blood sugar and its safety profile, phy... | Yes | 7 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-1.0997446775436401,
0.6546982526779175,
0.542572021484375,
-0.39003369212150574,
0.41485124826431274,
-0.741091251373291,
-0.4778927266597748,
0.765568733215332,
0.3647350072860718,
-0.5020340085029602,
-0.2229253053665161,
0.9219897389411926,
-0.07973770052194595,
0.23914611339569092,
... |
In this task you will be given a list of strings and you need to concatenate them.
['T', 'gentlemen,', 't', 'c', 'k', 'you', 'B', 'l', 'J', 'w'] | Tgentlemen,tckyouBlJw | 0 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.3592439889907837,
0.8467714190483093,
-0.7347747087478638,
-0.34330499172210693,
0.6763745546340942,
-0.16181901097297668,
0.8569516539573669,
-0.7757147550582886,
-0.2939046025276184,
0.3249724805355072,
-0.0793612152338028,
0.07483652234077454,
-0.0538727268576622,
-0.3324864506721496... |
Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should n... | PersonX told PersonY not to take something that doesn't belong to him, _ was so foolish compared to him. | 3 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.9813116788864136,
0.3978064954280853,
-0.1480063647031784,
-0.2464689165353775,
0.28977179527282715,
-1.2062864303588867,
1.3954927921295166,
0.6945645809173584,
-0.41297298669815063,
-0.7657850980758667,
-0.22936677932739258,
0.21885962784290314,
-0.8583263158798218,
0.21688252687454224... |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Ex Input:
Sentence: The manager meets... | Counselor
| 1 | NIv2 | task342_winomt_classification_profession_pro | fs_opt | [
-1.3934797048568726,
0.3579220771789551,
-0.5022263526916504,
-0.5534566640853882,
-0.08985915035009384,
-0.09628786891698837,
0.06694033741950989,
0.45248377323150635,
0.5652329921722412,
0.08284475654363632,
-1.1242163181304932,
0.09758034348487854,
-0.36039531230926514,
-0.0255148001015... |
Teacher: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DI... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.2667508125305176,
-0.0661267563700676,
0.15249203145503998,
-0.43789738416671753,
0.3264418840408325,
-0.5485835075378418,
0.38425004482269287,
0.9907046556472778,
-0.3239401876926422,
0.5213407278060913,
0.2813073396682739,
-0.3791060447692871,
-0.60332190990448,
-0.03434746712446213,
... |
Q: 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 "... | True | 7 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.204448401927948,
0.292086124420166,
-0.4071933627128601,
0.17861182987689972,
-0.4624555706977844,
-1.2867255210876465,
0.979209840297699,
0.3451269268989563,
0.1994289606809616,
0.27585116028785706,
-0.1014590635895729,
0.1476324498653412,
-0.14031001925468445,
0.18734027445316315,
0... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | holding that when regulations are intended to have different purposes and are not dependent on each other they are not intertwined | 9 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.12568336725234985,
0.2390592396259308,
-0.14058879017829895,
-0.21811982989311218,
0.18967196345329285,
-1.2864762544631958,
0.5725491642951965,
1.7575254440307617,
-0.02436290681362152,
-0.22742782533168793,
-0.4247664213180542,
0.1070714071393013,
-0.4387734532356262,
-0.13350358605384... |
Given the task definition and input, reply with output. This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which... | In what year was Ron Greenwood born? | 5 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.5845353007316589,
0.960045576095581,
-0.09471466392278671,
-0.15735703706741333,
0.347333699464798,
0.008462803438305855,
0.5792841911315918,
0.3789580166339874,
-0.20626260340213776,
0.01121627539396286,
-0.743645191192627,
0.3583829700946808,
-0.6230581998825073,
-0.03961625695228577,
... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Ex Input:
Ukuba oku kuthe kwenzeka kubangela isiqhubi sikhuphisane.
Ex Output:
When this happens it causes the propellers to race.
Ex Input:
Baye ben... | This means it will not deal with air or air and water.
| 1 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.21573404967784882,
0.8441659212112427,
0.06857873499393463,
-0.30780208110809326,
-0.23236864805221558,
-0.6004224419593811,
0.524010181427002,
0.7761567831039429,
0.7096470594406128,
-0.06264997273683548,
-0.4223463833332062,
0.019201457500457764,
-0.36293160915374756,
-0.4324446320533... |
Instructions: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' val... | [{'first': -33, 'second': -85}, {'first': -11, 'second': -82}, {'first': 34, 'second': 87}] | 3 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.23309379816055298,
0.3075471520423889,
-0.32363730669021606,
-0.3803556263446808,
0.5021582841873169,
-0.10482597351074219,
0.5373150706291199,
0.32349538803100586,
0.08706600219011307,
-0.3839843273162842,
-0.7423474192619324,
-0.7321178913116455,
-0.5694462060928345,
-0.38395333290100... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
[EX Q]: If an old man dies , till the Lama arrives at the ho... | English
| 6 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
0.039615027606487274,
0.6190832853317261,
0.45295771956443787,
-0.05568728223443031,
-0.23096179962158203,
-0.7171472907066345,
0.1383320391178131,
0.22214704751968384,
-0.3744662404060364,
-0.3385847806930542,
-0.22739793360233307,
0.3895959258079529,
-0.6657862067222595,
0.14765393733978... |
Detailed Instructions: 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: I heated these up in the microwave, and they do not microwave evenly. some will be burnt and hard as a rock when others ... | True | 9 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
0.34496018290519714,
0.03236854821443558,
-0.2959112524986267,
-0.1035662516951561,
-0.31694912910461426,
-0.09339103102684021,
1.074705719947815,
0.1707058846950531,
-0.695175290107727,
0.08713832497596741,
-0.08962881565093994,
-0.0975455567240715,
-1.3130096197128296,
-0.092221781611442... |
Instructions: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Input: He slammed his friend, hoping to i... | B | 3 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.35534876585006714,
1.5067840814590454,
0.0016091126017272472,
-0.610148549079895,
-0.1717892587184906,
-0.44416266679763794,
0.08768211305141449,
-0.213270366191864,
0.3203103542327881,
0.3638131022453308,
-0.38410016894340515,
0.4110769033432007,
-0.3562595844268799,
-0.870019316673278... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given dvd product reviews in Japanese 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.
今の日本には必要な音楽番組... | POS | 1 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
0.2727805972099304,
-0.19422268867492676,
-0.4120731055736542,
0.17305627465248108,
0.49917832016944885,
0.19384163618087769,
1.1518263816833496,
-0.03826051950454712,
-0.11282835155725479,
0.43292510509490967,
-0.1732184886932373,
-0.5841948986053467,
-0.10076460242271423,
-0.032405387610... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.23360592126846313,
0.5803180932998657,
0.24161171913146973,
0.07246588170528412,
-0.4526410698890686,
-0.5769977569580078,
1.018250823020935,
0.36843904852867126,
-0.4096493422985077,
-0.5053513646125793,
-0.4366954565048218,
-0.7224125266075134,
-0.42814362049102783,
0.4062609076499939,... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: उन्होंने कहा कि वे भ्रष्टाचार योजनाओं की जांच का बचाव करते हैं, हालांकि उन... | They said that they defend the investigation of corruption schemes, however they said that the Lula government is the victim of a destabilization campaign. | 4 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.8122215270996094,
0.673045814037323,
0.8479955196380615,
-0.7458567023277283,
0.2731010317802429,
-0.3787083327770233,
0.20293055474758148,
1.0312004089355469,
-0.3995249271392822,
-0.2344042807817459,
-0.19157320261001587,
-0.11440961807966232,
-0.5117975473403931,
-0.25314536690711975... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Problem:一番高いところが平均の温度にあたります。
Solution: | أطول الأعمدة هي متوسط درجة الحرارة لمعظم مواسم نمو المحاصيل | 8 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.14423994719982147,
-0.2780327796936035,
-0.7720580101013184,
-0.3482504189014435,
-0.4516064524650574,
-0.6993122100830078,
0.5188226699829102,
-0.25118499994277954,
-0.3036792576313019,
-0.6086571216583252,
-0.46062248945236206,
0.2600948214530945,
-0.6762111783027649,
0.974428892135620... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Kendal... | C | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.8357192277908325,
0.759239673614502,
0.3294307589530945,
-0.4206368923187256,
-0.14210104942321777,
0.27265655994415283,
0.32992130517959595,
0.5134788751602173,
-0.422786682844162,
0.05650527402758598,
-0.29658645391464233,
-0.1976586878299713,
0.36127570271492004,
-0.02678659744560718... |
You will be given a definition of a task first, then some input of the task.
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 th... | yes | 1 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.043551210314035416,
0.5993165969848633,
0.40223926305770874,
0.06441915780305862,
0.10910829901695251,
-0.26891833543777466,
0.5141744613647461,
1.1561168432235718,
-0.8467503786087036,
-0.2205168604850769,
0.13357794284820557,
0.3017312288284302,
-0.3834798336029053,
-0.317314684391021... |
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
| 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.015972787514328957,
0.23652511835098267,
0.027476714923977852,
-0.36564019322395325,
-0.6078377366065979,
-0.6893738508224487,
1.3403942584991455,
0.3550146222114563,
-0.3957499861717224,
-0.5423651933670044,
-0.3641480803489685,
-0.22552724182605743,
-0.6812976598739624,
-0.034722454845... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
The truth, of course, is that a great many Member States, and no doubt other nations too, have taken measures ... | ¿Hipotecará la directiva las negociaciones en el marco de la adhesión?
| 0 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
0.1749155968427658,
0.4604993462562561,
-0.11791451275348663,
-0.5893846750259399,
0.04377733916044235,
-1.02921462059021,
0.6283248662948608,
0.3643200397491455,
-0.826318085193634,
-0.004799282178282738,
-0.5760327577590942,
-0.046094056218862534,
-0.6849414110183716,
-0.1821271628141403... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Beginning: I just arriv... | 2 | 0 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.1282767504453659,
0.4425908625125885,
0.2434174120426178,
-0.06342589855194092,
-0.754181981086731,
0.08830519020557404,
0.1867152452468872,
0.7173396944999695,
-0.11586949229240417,
-0.0278011504560709,
-0.5756731033325195,
-0.3400841951370239,
-0.36303576827049255,
-0.542561948299408,... |
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... | Solution: weakener | 5 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.33782193064689636,
0.5677772164344788,
0.015631821006536484,
0.15193158388137817,
0.03760947287082672,
-1.159859538078308,
0.7646524906158447,
1.2364016771316528,
0.28511160612106323,
-0.5320481657981873,
-1.4087834358215332,
0.08347916603088379,
-0.6042861938476562,
-0.1290965527296066... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Input: Consider Input: entity: fabric
before: dirty
after: clean
attr: cleanness
Output: cleanness of fabric was dirty before... | Output: state of fire was burning before and extinguished afterwards
| 2 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
-0.2251770943403244,
0.6096557378768921,
-0.5108766555786133,
0.33929723501205444,
-0.6376048922538757,
-1.676931619644165,
-0.5978716611862183,
0.6844361424446106,
-0.10031579434871674,
-0.15158024430274963,
0.10384376347064972,
-0.23502779006958008,
-0.9663385152816772,
-0.64023113250732... |
instruction:
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question ... | the friend's daughter
| 9 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.32296016812324524,
-0.07017047703266144,
-0.5712831020355225,
-0.3841845989227295,
-0.050789088010787964,
-0.2724136412143707,
0.6698161363601685,
1.2947587966918945,
0.0838814526796341,
0.046554483473300934,
-0.25126519799232483,
-0.37490513920783997,
0.08931644260883331,
0.066239334642... |
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, 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. ... | first female olympic athlete on wheaties box? | 0 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.29072433710098267,
0.8548642992973328,
0.40953120589256287,
-0.543706476688385,
0.04239577800035477,
-0.18584366142749786,
1.3193042278289795,
0.49447518587112427,
-0.011240722611546516,
-0.26715266704559326,
-1.141247272491455,
-0.1746443808078766,
-0.3893108367919922,
0.440161466598510... |
Detailed Instructions: In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neut... | no sentiment expressed | 8 | NIv2 | task525_parsinlu_movie_aspect_classification | zs_opt | [
-0.9105206727981567,
0.43522775173187256,
-0.06738723814487457,
-0.0638909637928009,
0.0835910215973854,
0.06438130885362625,
1.0097838640213013,
0.2757132351398468,
0.5642563104629517,
-0.05875876545906067,
0.01422145590186119,
-0.1519341617822647,
-0.6948552131652832,
0.40904200077056885... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Ma vi devo dire che quando la mia nipote più giovane ha compiuto 7 anni l'anno scorso, ha detto a sua madre, mia figlia: "" Che cosa c'è di strano se nonna Maddie fa il Segretario di Stato?
A: | But I have to tell you, I have my youngest granddaughter, when she turned seven last year, said to her mother, my daughter, "" So what's the big deal about Grandma Maddie being Secretary of State? | 7 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.1715427041053772,
0.704619288444519,
-0.36311519145965576,
-0.10191203653812408,
-0.08683237433433533,
-0.2889697253704071,
-0.47533899545669556,
0.5383682250976562,
1.2010687589645386,
-0.19397208094596863,
0.588918924331665,
-0.5263305902481079,
-1.117380142211914,
0.3765181005001068,... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी व... | A spokesperson for the Red Cross said approximately two hundred houses had been sunk or wrecked. | 3 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.06629206240177155,
1.22103750705719,
-0.21976517140865326,
0.19092689454555511,
0.014547917991876602,
-0.5062353014945984,
-0.4393855035305023,
0.6772637367248535,
0.014813119545578957,
-0.3041019141674042,
-0.5748993158340454,
0.811540961265564,
-0.0013495995663106441,
0.41553539037704... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | The baby sits on the slide waiting for his mom. | 6 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.13209769129753113,
0.5126970410346985,
0.5323621034622192,
-0.5889896154403687,
0.375073105096817,
-0.36590051651000977,
-0.36290276050567627,
1.024951696395874,
0.5236490964889526,
-0.31872954964637756,
-0.8587651252746582,
-0.4224148988723755,
-1.0513817071914673,
-0.4857361912727356,... |
Given the task definition and input, reply with output. 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 languages at a time.... | English | 5 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.6587684750556946,
0.609332799911499,
0.23268157243728638,
0.11756908148527145,
0.1187397688627243,
-0.3943553566932678,
-0.09872052818536758,
-0.3943989872932434,
0.15588951110839844,
-0.696905255317688,
-0.1149110347032547,
0.5746895670890808,
-0.5539569854736328,
-0.2119676023721695,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -93, 'second': -35}, {'first': -70, 'second': 46}] | 1 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.029593193903565407,
-0.07547728717327118,
-0.2631814777851105,
-0.03127876669168472,
0.617646336555481,
0.3348809480667114,
0.28725796937942505,
0.4056946635246277,
0.21637213230133057,
-0.07491903752088547,
-0.5590022802352905,
-0.7842971086502075,
-0.5059710741043091,
-0.2133562862873... |
TASK DEFINITION: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim... | Thousands of Black Angus bulls snort steam gently into the frigid early morning air at Tasmania’s largest cattle feedlot as they jostle for space at a long grain trough.
| 8 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.13068203628063202,
0.12116029113531113,
-0.4011421799659729,
-0.11642026901245117,
0.5726968050003052,
-0.3296888470649719,
0.8819786310195923,
0.956680178642273,
0.046128008514642715,
0.4598351716995239,
0.26734232902526855,
0.6744471788406372,
0.280223548412323,
-0.10764265805482864,
... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
One example: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see M... | no | 6 | NIv2 | task273_europarl_classification | fs_opt | [
-0.6496430039405823,
-0.12392587959766388,
0.32246044278144836,
0.2550122141838074,
0.0939483791589737,
-0.9888119697570801,
0.8968273401260376,
0.8120442628860474,
0.3605663776397705,
0.5558136701583862,
-0.6079467535018921,
0.48669299483299255,
-0.24039725959300995,
0.28667500615119934,
... |
Part 1. Definition
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the inpu... | The managers mentioned the scientists . | 7 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.3921508193016052,
0.38322094082832336,
-0.007968886755406857,
-0.1489177942276001,
0.13129225373268127,
-0.2253350168466568,
0.6913716793060303,
-0.03860754519701004,
0.7506738901138306,
-0.719403862953186,
-1.3052399158477783,
-0.2079474776983261,
-0.0862642377614975,
-0.03006066754460... |
Part 1. Definition
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Part 2. Example
My stomach will be upset if i eat that.
Answer: Do you like pineapple on your pizza?
Explanation: The answer given was regarding something that the person ate and it caused his s... | Have you liked living in your house ? | 7 | NIv2 | task568_circa_question_generation | fs_opt | [
0.3715175986289978,
0.3848673105239868,
0.0350850448012352,
0.3266777992248535,
0.37314373254776,
-0.3985026478767395,
0.5231012105941772,
0.6043137311935425,
0.16613700985908508,
-0.17771466076374054,
-0.5117002725601196,
0.20027947425842285,
-1.0969610214233398,
-0.29204416275024414,
0... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
--------
Question: Which US actor is the voice of Mr Fox in the 2009 animated film 'Fantastic Mr Fox'?
Answer: george clooney
Question: Who played the title role the... | reggae
| 7 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.5313568711280823,
0.7236014604568481,
0.0962018221616745,
-0.2677821218967438,
-0.2993065416812897,
-0.6973108053207397,
0.8763109445571899,
-0.1635354906320572,
-0.31002113223075867,
-0.7705701589584351,
-0.033181168138980865,
-0.32372695207595825,
-1.8846558332443237,
-0.34694516658782... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
بعد از این وقایع، کلام خداوند دررویا، به ابرام رسیده، گفت: «ای ابرام مترس، من سپر تو هستم، و اجر بسیار عظیم تو.»
Output: | After these things the word of the LORD came unto Abram in a vision, saying, Fear not, Abram: I am thy shield, and thy exceeding great reward. | 1 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
0.3104628622531891,
1.211447834968567,
0.3666827082633972,
-0.6591751575469971,
-0.9353343844413757,
0.24336393177509308,
0.640960156917572,
0.18615785241127014,
0.5138733983039856,
-0.37646040320396423,
-0.5064539909362793,
1.1734899282455444,
-0.31144022941589355,
-0.0029378090985119343,... |
Teacher:Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given ... | Irene Mak. | 6 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.27263343334198,
0.4341982901096344,
0.2124640941619873,
-0.06777731329202652,
0.10130207240581512,
-0.3344230055809021,
0.33431926369667053,
0.8280047178268433,
-0.07658597081899643,
0.25849854946136475,
0.1705431044101715,
0.41891083121299744,
-1.0633246898651123,
0.2376435101032257,
... |
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 be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['Clowns', 'eatType', 'pub'], ['Clowns', 'priceRange', 'less than £20'], ['Clowns', 'customer rating', 'average'], ['Clowns', 'area', 'city centre']] | 6 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.5253570675849915,
0.23144949972629547,
-0.5110071897506714,
-0.22616097331047058,
-0.49522650241851807,
-0.053133878856897354,
0.3938466012477875,
0.13275645673274994,
0.19844716787338257,
-0.04787010699510574,
-0.4771406352519989,
0.33493471145629883,
-0.6484742164611816,
0.80922472476... |
Given the task definition, example input & output, solve the new input case.
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Example: Preheat oven to 375 degrees., Boil syrup, sugar and... | butter, sugar, cream cheese, egg, milk, vanilla, chocolate, flour, baking powder, nuts, nuts | 1 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.13873177766799927,
0.4223152995109558,
0.12324106693267822,
0.5615396499633789,
-0.1445462703704834,
0.6059418320655823,
0.11905350536108017,
0.9468703269958496,
-0.3598610460758209,
0.031789299100637436,
0.26562440395355225,
-0.4998668432235718,
0.12166652083396912,
-0.4914151430130005,... |
instruction:
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not ge... | B
| 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.4356629252433777,
0.5383861064910889,
-0.5958918333053589,
-0.38226544857025146,
0.32940661907196045,
-0.6703028678894043,
0.5096848011016846,
0.7562150955200195,
-0.30061882734298706,
0.4607948660850525,
0.00659979647025466,
0.035366855561733246,
-0.32717663049697876,
0.1297785043716430... |
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 deter... | Yes
| 1 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.13237310945987701,
-0.23803991079330444,
0.13032735884189606,
0.3622262477874756,
-0.497820109128952,
-1.0294733047485352,
1.2839752435684204,
1.0568758249282837,
-0.37703055143356323,
-0.3441883325576782,
-0.6861535906791687,
0.18469887971878052,
-1.1750869750976562,
0.3474530279636383,... |
You will be given a definition of a task first, then some input of the task.
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'... | games | 1 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.14006289839744568,
-0.0038207441102713346,
-0.3536592721939087,
-0.4556610584259033,
0.5917925834655762,
-0.2820548117160797,
0.1718527376651764,
0.4073820114135742,
0.044478170573711395,
-0.15245892107486725,
0.1712416410446167,
-0.5457280874252319,
-0.22667783498764038,
-0.524113893508... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Y
| 6 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.8761685490608215,
0.5788795351982117,
0.15714943408966064,
-0.6365197896957397,
0.022173020988702774,
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0.33858272433280945,
0.8088768720626831,
0.264706015586853,
-0.014552298933267593,
-0.45534205436706543,
0.12008318305015564,
-0.7526096701622009,
-0.00723347440361... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so... | I chose to use a paint roller rather than a brush, because the _ left a smooth finish. | 1 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7641341090202332,
0.08753208070993423,
0.30869606137275696,
-0.19193384051322937,
0.7793397903442383,
-0.8694363832473755,
0.7207951545715332,
1.0542163848876953,
-0.6083393096923828,
-0.2879349887371063,
-0.33574819564819336,
0.3638462424278259,
-0.26346713304519653,
-0.0413251146674156... |
Q: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: I believe this is the most powerful film HBO Pictures ha... | yes | 7 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.44363242387771606,
0.10099482536315918,
0.14848002791404724,
0.13607682287693024,
0.18829336762428284,
-0.1555682271718979,
0.4897979497909546,
0.44642868638038635,
0.43958383798599243,
0.20975619554519653,
-0.2987399995326996,
-0.12815135717391968,
0.14048436284065247,
-0.3754948675632... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Example Input: falsification, fib, invent, fudge, cupcake
Example Output: cupcake
Example Input: spring, run, fall, equinox, autumn
Example Output: run
Exam... | timely
| 3 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.3094399869441986,
0.7368289828300476,
0.21356430649757385,
0.3213888108730316,
0.09362012892961502,
-0.26924073696136475,
-0.45592424273490906,
0.4246683120727539,
-0.4170263111591339,
-0.0360771045088768,
-1.0163441896438599,
-0.4196804165840149,
-0.6453107595443726,
-0.0703917592763900... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
See one example bel... | state-budget | 4 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.20980887115001678,
-0.2972525358200073,
0.0532568134367466,
0.4545423984527588,
-0.36607813835144043,
-0.9047850966453552,
0.25473538041114807,
0.3894968628883362,
0.03115723840892315,
0.39047420024871826,
-0.7649145722389221,
-0.015857577323913574,
-0.45893704891204834,
-0.0549627467989... |
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 English. Your job is to translate the English sentence into Galician.
Now, it's next door, or in my house.
Solution: Agora, está ao lado, ou na miña casa.
Why? The Englis... | Os osceanógrafos estaban moi sorprendidos. | 0 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.5381900072097778,
0.7589032649993896,
-0.21523556113243103,
-0.6172321438789368,
0.031523946672677994,
-0.6210169792175293,
0.49867066740989685,
0.36764317750930786,
0.18060845136642456,
-0.24720890820026398,
-0.0669650286436081,
0.26436999440193176,
-0.841396689414978,
0.01507991831749... |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certai... | attach metal hinges to a wooden backboard that is attached to a metal table base via metal bars that are screwed into the boards. | 4 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.4320705235004425,
0.9666879177093506,
-0.9082261323928833,
0.3653261363506317,
-0.13916370272636414,
-0.4416961669921875,
0.09151584655046463,
0.8293858766555786,
-0.14709943532943726,
0.3617967963218689,
0.32709696888923645,
0.49022507667541504,
-0.0465596467256546,
-0.1415218710899353,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Example Input: SARbotのソナーを使って ４時間で漁港を再開できました
Example Output: We were able to reopen that fishing port, using her sonar, in four hours.
Example Input: 血流や血管拡張に関して変化は見られません
Example Output: There is no change in blood flow... | The problem is there is no such thing as a viable democracy made up of experts, zealots, politicians and spectators.
| 3 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.29732751846313477,
-0.04930379241704941,
-0.05317895486950874,
-0.07988761365413666,
-0.11083630472421646,
-0.7070847749710083,
0.4733840227127075,
0.48284077644348145,
0.1175370067358017,
-0.06870011240243912,
0.483357310295105,
0.13501064479351044,
0.374950110912323,
-0.335818946361541... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: प्रधानमंत्री ने RAI यूथकॉन-2019 को संबोधित किया
Student: | క్రెడాయ్ యూత్ కాన్- 2019 ని ఉద్దేశించి ప్రసంగించిన ప్రధాన మంత్రి | 6 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
0.32982137799263,
0.36249178647994995,
0.5771836042404175,
-0.27584949135780334,
0.07466956228017807,
-0.4989783763885498,
0.39119118452072144,
0.6019032001495361,
-0.04596756771206856,
0.01729458197951317,
-0.2756316065788269,
0.013064458966255188,
-0.35117238759994507,
0.0806766301393508... |
Teacher: This task is to translate the Telugu Language Input to English Language Output
Teacher: Now, understand the problem? If you are still confused, see the following example:
నేను వీడియో చేస్తున్నాను
Solution: I am making a video.
Reason: Both the sentences says the same meaning in different languages, so it is a ... | Have a Query? Call: 022-28680353 / 08433708047 | 2 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.015555666759610176,
0.13790352642536163,
0.4837076961994171,
0.14688360691070557,
0.3095766007900238,
-0.36862245202064514,
-0.8314216136932373,
0.8770244121551514,
-0.9415767788887024,
0.0015907902270555496,
0.5585798025131226,
-0.4017984867095947,
-0.31140249967575073,
-0.752175450325... |
Definition: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Input: 2, ['l', 'K', 'i', '8045', '5723', 'O']
Output: | l, i, 5723 | 2 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
-0.05103614553809166,
0.653760552406311,
-0.6006592512130737,
-0.16986262798309326,
-0.4092947840690613,
0.1573866307735443,
0.33744239807128906,
-0.6687819361686707,
0.10643094778060913,
-0.5478101372718811,
-0.5144123435020447,
-0.7971778512001038,
-0.2465459704399109,
0.6135914921760559... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (7, 8)
| 0 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.2690419554710388,
0.8339327573776245,
-0.5189682245254517,
-0.8138121962547302,
0.19342848658561707,
-0.4586494565010071,
0.1302383989095688,
0.757939338684082,
-0.019038837403059006,
0.10464508831501007,
-0.26000216603279114,
-0.2944962978363037,
-0.17562782764434814,
0.226020216941833... |
Given the task definition and input, reply with output. 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.
['W', '9711', '845', '2495', '3581', '7033', 'G', 'u', 'B', 'S',... | W, G, u, B, S, h, D, N, R, b, W, w, c, H | 5 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.12339936196804047,
0.9294338822364807,
0.14241604506969452,
-0.2869381904602051,
-0.33603721857070923,
-0.3072357773780823,
0.5387619137763977,
-0.29368412494659424,
-0.14705494046211243,
0.3564634919166565,
-0.35692936182022095,
-0.05575915798544884,
0.5156704187393188,
-0.013012288138... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Two kids are inside of a box. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.4433051347732544,
0.9280543327331543,
0.4228892922401428,
-0.7073948979377747,
-0.01326432079076767,
-0.19328704476356506,
-0.14240626990795135,
0.6989976167678833,
0.449613094329834,
-0.6161915063858032,
-0.6414729952812195,
-0.294494092464447,
-0.6912869215011597,
-0.03886570036411285... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Seven monoclonal antibodies (MAbs) with neut... | Characterization of monoclonal antibodies against feline infectious peritonitis virus type II and antigenic relationship between feline, porcine, and canine coronaviruses | 1 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.36312052607536316,
-0.4792318046092987,
-0.05687952786684036,
0.7247858643531799,
-0.025645406916737556,
-0.312549352645874,
0.3061997890472412,
1.244895100593567,
0.01212830375880003,
-0.2508278489112854,
-0.8148050904273987,
0.30001911520957947,
-0.45633643865585327,
0.1753480136394500... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | qnQubbghiilpszmgwZ, jvrKYbbghiilpszzNWOLWaP
| 3 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.15959133207798004,
0.5473151803016663,
0.17094682157039642,
-0.2209399938583374,
0.3523467779159546,
0.049649350345134735,
0.5387466549873352,
0.45492687821388245,
-0.1091572716832161,
-0.2515139877796173,
-1.1314215660095215,
-0.8071915507316589,
-0.2574780583381653,
-0.0778955221176147... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
[EX Q]: Passage: Frasier -- The cast had an unusual amount of freedom to suggest changes to the script. Grammer used an a... | 1
| 6 | NIv2 | task1661_super_glue_classification | fs_opt | [
-0.5891020894050598,
-0.4804992079734802,
-0.4306079149246216,
0.30158472061157227,
0.06888124346733093,
-0.17809619009494781,
0.38090962171554565,
0.5608277320861816,
-0.17683610320091248,
0.09308430552482605,
-0.38034719228744507,
0.10653175413608551,
-0.11988968402147293,
0.441212773323... |
Q: Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ຮ້ານຄ້າທຸລະກິດຈໍານວນໜິ່ງໃນທ້ອງຖິ່ນແມ່ນໄດ້ເປີດບໍລິການໃນເວລາທີ່ເກີດເຫດການນີ້ ແຕ່ວ່າວານນີ້ແມ່ນເປັນວັນພັກລາຊະການຂອງ ໄນຈີເລຍ.
A: | 事件のおきた際、いくつかの店は開いていたが、昨日はナイジェリアの公休日だった。 | 7 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.4775890111923218,
0.3703400194644928,
-0.4173245131969452,
-0.061151571571826935,
-0.4829138219356537,
-0.21246230602264404,
0.8298623561859131,
0.8999258875846863,
-0.39715975522994995,
-0.4905667006969452,
-0.17228816449642181,
0.36697548627853394,
-1.217002272605896,
0.69707047939300... |
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: personal or non-personal depending on the topic... | non-personal | 6 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-1.2926751375198364,
0.016946271061897278,
-0.18565790355205536,
-0.1632716953754425,
-0.5494997501373291,
-0.2436365783214569,
1.1440610885620117,
0.4948069155216217,
0.1265145093202591,
0.19278410077095032,
-1.4534518718719482,
0.15498675405979156,
0.12996551394462585,
-0.093307375907897... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Teacher: Now, un... | 53241 | 6 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.26087892055511475,
0.3479662537574768,
0.13681592047214508,
-0.589453935623169,
-0.1533096432685852,
-0.09047602862119675,
0.6596989631652832,
0.7078286409378052,
-0.1787199079990387,
-0.3593323528766632,
-0.4910522699356079,
-0.5048558115959167,
-0.7350598573684692,
-0.0169015862047672... |
Q: Given a scientific passage and an answer, generate a question for the given answer.
Passage: Introduction Virtually every task performed by living organisms requires energy. Energy is needed to perform heavy labor and exercise, but humans also use energy while thinking, and even during sleep. In fact, the living cel... | Virtually every task performed by living organisms requires this? | 7 | NIv2 | task594_sciq_question_generation | zs_opt | [
1.0084583759307861,
1.327686071395874,
-0.6151765584945679,
-0.17536087334156036,
-0.41296476125717163,
-1.266042947769165,
0.4590517282485962,
0.6776992082595825,
-0.0759502723813057,
-0.6155366897583008,
-0.2818376421928406,
0.15345747768878937,
-1.0437341928482056,
0.1780082881450653,
... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Q: Sono 10 trilioni di dollari.
A: | y vale 10 billones de dólares. | 9 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.07391516864299774,
0.5383924245834351,
-0.9450588226318359,
0.5124005079269409,
-0.7559972405433655,
-0.3123188018798828,
-0.32099366188049316,
0.41271716356277466,
0.2910444736480713,
-0.8040614128112793,
-0.12997862696647644,
0.37993282079696655,
-0.2812155783176422,
-0.38487732410430... |
In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
One example: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the june quarter due to soaring commodity prices , figures released monday showed .
So... | kyrgiakos says intends to join liverpool | 6 | NIv2 | task288_gigaword_summarization | fs_opt | [
0.34274929761886597,
0.6526042222976685,
-0.550603985786438,
-0.10705460608005524,
-0.4200194478034973,
-0.41576099395751953,
-0.024156350642442703,
0.06329449266195297,
0.40109625458717346,
-0.4573177695274353,
0.3883702754974365,
0.6000463366508484,
-1.1548817157745361,
0.066419087350368... |
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: صدر جمہوریہ ہند نے سیاچن وار میموریل پر بھی خراج عقیدت پیش کیا، جو ان گیارہ ہزار سپاہیوں اور افسروں کی قربانی کی علامت ہے، جو13 اپریل 1984 کو سیاچن گلیشئر می... | சியாச்சின் சிகர உச்சியில் 11 ஆயிரம் வீரர்களும் அதிகாரிகளும் “மேகதூத் நடவடிக்கை” (Operation Meghdoot) என்ற பெயரில் 1984ம் ஆண்டு ஏப்ரல் 13ம் தேதி நடந்த இராணுவ நடவடிக்கையின்போது உயிர்த் தியாகம் செய்ததை நினைவூட்டும் போர் நினைவுச் சின்னத்தில் குடியரசுத் தலைவர் மரியாதை செலுத்தினார். | 4 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
-0.2745607793331146,
0.2734900414943695,
-0.331656813621521,
-0.1788673996925354,
0.07651892304420471,
-0.7571408748626709,
0.44500333070755005,
-0.019420161843299866,
-0.18757405877113342,
-0.1706235557794571,
-0.3636360764503479,
-0.12026779353618622,
0.3635735511779785,
0.38796669244766... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Q: A timidez é o medo do julgamento social.
A: | La timidezza è la paura del giudizio sociale. | 4 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.265902042388916,
0.939539909362793,
0.5970865488052368,
-0.8772013187408447,
0.0033789987210184336,
-0.12722671031951904,
0.6258112192153931,
0.8127913475036621,
0.3707970678806305,
-0.06800896674394608,
-0.7310611605644226,
-0.03200133144855499,
-0.36293765902519226,
0.0495629869401454... |
TASK DEFINITION: In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
PROBLEM: و درباره لاوی گفت: «تمیم و اوریم تو نزدمرد مقدس توست. که او را در مسا امتحان نمودی. و با او نزد آب مریبا منازعت کردی.
SOLUTION: And he said, The LORD came from Sinai, and rose up f... | And the LORD was with Joseph, and he was a prosperous man; and he was in the house of his master the Egyptian.
| 8 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
0.2576826214790344,
0.9633923768997192,
-0.221771240234375,
-0.44137319922447205,
-0.6644390821456909,
0.08206550776958466,
1.126439094543457,
0.6347728967666626,
0.6464629173278809,
0.019664179533720016,
-0.35858702659606934,
0.7725504040718079,
-0.7241549491882324,
0.1034378707408905,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example input: Afinal de contas elas é que decidem, e decidiram mesmo.
Example output: אחרי הכל, הם החליטו, והם עשו,
Example explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning... | אבל הם שאלו שאלה אחת שהיא: "" האם זה בר-שיחזור? "" היתה זו שאלה הוגנת מכיוון שהסיפור שלי היה על כיצד מצאתי פיתרונות שהועילו לי. | 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.27417775988578796,
0.772293210029602,
0.24954110383987427,
0.13566744327545166,
-0.3090060353279114,
-0.5412110686302185,
0.555918276309967,
0.6765149831771851,
0.6349179744720459,
0.11270327866077423,
-0.47437721490859985,
0.0563870444893837,
-0.31628772616386414,
-0.30398324131965637,
... |
Q: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The corre... | (C) | 7 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.37241798639297485,
-0.09343487024307251,
-0.08004391938447952,
-0.44535762071609497,
0.5510892868041992,
-0.925410807132721,
1.0435537099838257,
1.0452392101287842,
-0.47970205545425415,
-0.21604199707508087,
-0.572864294052124,
0.3899581730365753,
-0.6579559445381165,
0.2621062397956848... |
TASK DEFINITION: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are ... | She
| 8 | NIv2 | task1518_limit_answer_generation | fs_opt | [
-0.025492409244179726,
0.23640170693397522,
-0.3661286532878876,
0.3656924366950989,
-0.28104835748672485,
0.2680369019508362,
0.4179697036743164,
0.4216544032096863,
0.1769280880689621,
0.28240057826042175,
-0.4928412437438965,
-0.5480394959449768,
-0.3528095483779907,
-0.3299377858638763... |
Teacher:Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has part?.'
Teacher: ... | 1 | 6 | NIv2 | task1583_bless_meronym_classification | zs_opt | [
-0.2069765031337738,
0.12637075781822205,
-0.08884251117706299,
0.17525799572467804,
-0.3129688799381256,
-0.2826615571975708,
1.6137957572937012,
0.8140137195587158,
-0.04197343438863754,
-0.5255106687545776,
-0.18008196353912354,
0.24868977069854736,
-0.3142833411693573,
0.66317737102508... |
TASK DEFINITION: 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.
PROBLEM: غذای سوشی از کدام کشور آمده؟ <sep> (A) تایلند (B) ژاپن (C) چین (D)
SOLUTION: B
PROBLEM: بزرگترین امپراتور جهان ب... | B
| 8 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
-0.19537051022052765,
0.7487621307373047,
0.6174389123916626,
-0.13680799305438995,
-0.6424551010131836,
0.2621693015098572,
0.38077864050865173,
0.16790640354156494,
0.019638333469629288,
-0.2609782814979553,
-0.21354952454566956,
0.5244760513305664,
0.17427676916122437,
0.049840282648801... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
手は、我々の自律性を越えた力から贈られたのだ思います
אנו מבינים שהיד ניתנה לנו ע "" י כוחות שהם מעבר לתחום הבנתנו.
ランダムな奇数の場合調べるのはずっと難しい
לעומת זאת, מספר ראשוני אקראי הרבה יותר קשה לבחון.
これらを放射線専門医が対応する姿を想像してみてください
| דמיינו את הימים שהיו לנו רדיולוגים שעושים את זה.
| 0 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.5029557943344116,
0.5455127954483032,
0.17192929983139038,
-0.628050684928894,
-0.46469736099243164,
-0.5563615560531616,
1.1461009979248047,
-0.1442696750164032,
1.021616816520691,
0.01914835534989834,
-1.3323416709899902,
0.2672683298587799,
-1.696984887123108,
0.48297733068466187,
... |
Teacher: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... | government | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.3670542240142822,
0.10711292922496796,
-0.19569623470306396,
-0.613984227180481,
0.25510984659194946,
-0.2492367923259735,
0.4059811234474182,
0.1403523087501526,
-0.32285451889038086,
-0.16462138295173645,
-0.3659656047821045,
0.04255073517560959,
-0.34517741203308105,
-0.15834951400756... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order... | 52 | 4 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.5567039847373962,
0.47177064418792725,
0.3466637432575226,
-0.3863944113254547,
0.2601366639137268,
-0.408687025308609,
0.3335760235786438,
0.4459572732448578,
0.06469854712486267,
0.029316933825612068,
-0.7852911353111267,
-0.021634571254253387,
-1.103806972503662,
-0.22373107075691223... |
Definition: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Input: the eu and brazil jointly pursued work on the
Output: | the eu and brazil continued | 2 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
0.41465336084365845,
0.8278159499168396,
-0.3279038667678833,
0.33866769075393677,
-0.36524835228919983,
0.5496771931648254,
0.6147497296333313,
0.7546056509017944,
0.4817736744880676,
-0.08029332756996155,
-1.024132490158081,
0.2688795328140259,
-0.06402388215065002,
0.46621400117874146,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example Input: Não temos água.
Example Output: بدون اي ماء ؟
Example Input: O meu pai, está hoje na sala.
Example Output: والدي هنا اليوم في هذه الغرفة
Example Input: (música) (aplausos) (música) (aplausos) (música)... | (موسيقى) (تصفيق) (موسيقى) (تصفيق) (موسيقى) (تصفيق) (موسيقى) (تصفيق)
| 3 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.23177552223205566,
1.0295060873031616,
-0.3032766580581665,
-0.5164729356765747,
-0.48438429832458496,
-0.052765242755413055,
0.5120526552200317,
0.68979811668396,
0.6147080659866333,
0.3412471115589142,
-0.8675521612167358,
-0.26568883657455444,
-1.411644697189331,
-0.04058404639363289,... |
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