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 |
|---|---|---|---|---|---|---|
The provided file includes inquiries about restaurants, and we ask you to translate those to the Arabic language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloqu... | جِد جميع المطاعم " mexican " . | 0 | NIv2 | task250_spl_translation_en_ar | zs_opt | [
-0.2929633557796478,
0.49342799186706543,
0.043111652135849,
0.007156712934374809,
-0.1895945966243744,
-0.0964072197675705,
1.1394644975662231,
0.37412482500076294,
-0.2966999113559723,
-0.14788691699504852,
0.18674927949905396,
-0.09294050186872482,
-0.6333065629005432,
0.480043619871139... |
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 sentence belongs to that... | True
****
| 4 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.3800674080848694,
0.023562416434288025,
-0.6061180830001831,
0.42585107684135437,
0.06671511381864548,
-1.2072651386260986,
0.40124836564064026,
0.9357184171676636,
-0.2559146583080292,
0.589903712272644,
-0.3474499583244324,
0.3639553487300873,
-0.6045483946800232,
0.7881361842155457,
... |
Given the task definition, example input & output, solve the new input case.
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.
Example: I have bought several of t... | No coffee flavor / high calorie count | 1 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.07877859473228455,
-0.2397933006286621,
-0.22461169958114624,
0.3615227937698364,
0.4566601812839508,
0.10108451545238495,
0.7502752542495728,
1.060307264328003,
-0.6035538911819458,
-0.10734573006629944,
0.08728951960802078,
-0.24382227659225464,
-0.4779520630836487,
-0.3245396614074707... |
Given the task definition and input, reply with output. In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not c... | Offensive | 5 | NIv2 | task1539_kannada_offenseval_dravidian_classification | zs_opt | [
-0.024074360728263855,
1.0089590549468994,
0.12048587203025818,
-0.11734970659017563,
-0.29794880747795105,
-0.9301345348358154,
0.7151966094970703,
-0.13205313682556152,
0.564117968082428,
-0.860094428062439,
0.032170604914426804,
-0.2676662504673004,
-0.7897806763648987,
0.21629366278648... |
Instructions: 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.
Input: 1 (2- to 3-pound) corned beef brisket with spices, trim fat, 12 ounces dark ale beer or non-alcoholic beer*, 1 medium (1/2 cup) onion, c... | corned beef brisket, dark ale beer, onion, sauerkraut, whole wheat party buns, Swiss Cheese | 3 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
0.35601556301116943,
0.48294132947921753,
-0.20613041520118713,
0.4092693328857422,
-0.12223902344703674,
0.3912399411201477,
0.9327535033226013,
0.14726153016090393,
0.13766954839229584,
0.10228843241930008,
0.3531743884086609,
0.353969931602478,
-1.269225835800171,
0.04646844044327736,
... |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
See one example below:
Problem: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of vi... | Art group fears over Aberdeen gallery redevelopment | 4 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.4978835880756378,
0.9819117188453674,
0.15764416754245758,
-0.45729994773864746,
0.8020945191383362,
-0.41012996435165405,
0.3065180480480194,
1.0372951030731201,
-0.6411101222038269,
0.2898801267147064,
0.41824787855148315,
0.941681981086731,
-0.06613965332508087,
0.40439462661743164,
... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រ... | 「極秘」部分があるが、こういった機密情報も今や全国の公務員やビジネス界で様々な役職の権限を与えられた人物に一瞬でばらまかれている可能性がある。 | 3 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.16638091206550598,
0.4318414628505707,
-0.6550638675689697,
0.6891194581985474,
-0.42301419377326965,
-0.735404372215271,
0.5277568101882935,
0.5286069512367249,
-0.0634566992521286,
-0.8099159002304077,
-1.0319747924804688,
0.8120295405387878,
-0.8535405397415161,
0.6002561450004578,
... |
In this task, you are given a sentence in the Japanese 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).
Ex Input:
彼らはまた、処女のネズミに追加のプロラクチンを与える実験をし、妊娠中のネズミと類似の結果を発見した。
Ex Output:
... | Italian Prime Minister Silvio Berlusconi is in San Raffaele Hospital overnight in Milan following an assault during an autograph session at the end of a rally.
| 1 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
-0.5699538588523865,
-0.5261548161506653,
-0.1705319881439209,
-0.14288586378097534,
-0.3900465965270996,
0.3057737648487091,
0.6496948003768921,
0.056362345814704895,
-0.13127298653125763,
-0.19861873984336853,
-0.6509715914726257,
0.7060788869857788,
-0.2421160638332367,
0.25512647628784... |
Given the task definition and input, reply with output. In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples a... | The comic book character Auron, full name Lambien was created by Karl Kesel and Walt Simonson. | 5 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.25732362270355225,
0.603156328201294,
-0.053031593561172485,
-0.30394595861434937,
-0.3055899739265442,
0.009113599546253681,
0.4920812249183655,
-0.32642659544944763,
-0.10480175912380219,
-0.378487229347229,
-1.0890427827835083,
0.6466010808944702,
-0.10836964845657349,
-0.15545201301... |
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... | no
| 5 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
-0.029887061566114426,
-0.04383540153503418,
0.5005885362625122,
0.49138522148132324,
0.2130073606967926,
-0.7787209749221802,
0.6507554054260254,
1.4391770362854004,
-0.5445834994316101,
-0.09881096333265305,
0.16851268708705902,
-0.021010134369134903,
-0.32850775122642517,
-0.14025822281... |
TASK DEFINITION: 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.
PROBLEM: Line cookie sheet with heavy duty aluminum foil and spray with Pam., Place bread dough on sheet and roll out in... | chicken breasts, peach schnapps, ground ginger, extra virgin olive oil, garlic
| 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.8841662406921387,
0.14437046647071838,
-0.25222212076187134,
0.385860800743103,
-0.4787420630455017,
0.4640614688396454,
0.6280038952827454,
0.45029208064079285,
-0.08914709836244583,
-0.15364018082618713,
-0.04249699413776398,
0.38804060220718384,
-0.11812680959701538,
-0.35169184207916... |
Q: 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_comm... | music | 7 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.11474931240081787,
0.42827221751213074,
-0.2889009714126587,
-0.12366184592247009,
0.34173426032066345,
-0.354469358921051,
0.12926693260669708,
0.43415600061416626,
-0.20075459778308868,
-0.03105148673057556,
0.015200469642877579,
-0.2898657023906708,
-0.14389169216156006,
-0.3067793846... |
Detailed Instructions: You are given a statement written in Tamil. 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 .
See one example below:
Problem: Statement: எம்.சி.பி வங்கி, 2008 இல், மலேசியாவின் மலாய் வங்கி... | கிரேக்க | 4 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.5376875996589661,
0.5963166952133179,
-0.20866237580776215,
-0.18866278231143951,
0.23524709045886993,
-0.1654936969280243,
0.2862459719181061,
0.5360736846923828,
0.2804117202758789,
0.3669719994068146,
-0.007937643676996231,
0.3917710781097412,
-0.22893404960632324,
-0.5879569053649902... |
Given the task definition and input, reply with output. In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Normally I go to the laundromat.
| Do you have your own washer and dryer? | 5 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.5915347337722778,
0.8935760259628296,
-0.4696931838989258,
-0.12178850173950195,
-0.20656144618988037,
-0.2817796468734741,
-0.19717764854431152,
-0.3279838263988495,
0.45882806181907654,
-0.32316216826438904,
-0.765437126159668,
0.7965373396873474,
-0.3204328119754791,
0.80895715951919... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual ori... | Non-identity-attack | 7 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.1861659735441208,
0.2123393416404724,
0.6019049286842346,
0.4439014196395874,
0.165076345205307,
-0.4104570150375366,
0.9665023684501648,
-0.01788938045501709,
0.339574933052063,
0.3158636689186096,
0.22306916117668152,
-0.1765219271183014,
-0.7858850955963135,
-0.9363982677459717,
0.... |
Teacher: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, t... | N | 6 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.4392237663269043,
0.3115938901901245,
0.08220642060041428,
-0.612412691116333,
-0.1565144807100296,
0.28108543157577515,
0.38882267475128174,
0.5929864645004272,
0.0060835471376776695,
-0.1481088250875473,
-0.6893572211265564,
0.09606332331895828,
-0.7715647220611572,
-0.438312858343124... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Example: מה מייחד את המוח האנושי?
Example solution: 人の脳の何がそんなに特別なのでしょうか ？
Example explanation: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Problem: ואכן נראה היה שדאגותיי מ... | Solution: 前日まで自分を悩ませていたものが消えていきました | 5 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.5207877159118652,
0.2888132929801941,
0.06604848802089691,
-0.3780701458454132,
-0.9489625692367554,
-0.5342479944229126,
1.226523518562317,
-0.5071932077407837,
0.8182733654975891,
-1.1440342664718628,
-1.1167347431182861,
0.10187782347202301,
-0.9504169225692749,
0.7338830828666687,
... |
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Quant aux économies émergentes et en développement, elles de... | А формирующиеся и развивающиеся экономики должны поддерживать внутренние источники роста. | 0 | NIv2 | task1377_newscomm_translation | zs_opt | [
-0.8601762652397156,
0.6739372611045837,
0.25143420696258545,
-0.21057838201522827,
-0.3439069092273712,
0.9254794120788574,
0.4018014967441559,
0.9617530703544617,
0.5631163120269775,
-0.5682350397109985,
-0.7367590665817261,
-0.3468424677848816,
-0.5350284576416016,
-0.007772522978484631... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene | 9 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.7547107934951782,
0.3011159896850586,
0.6910736560821533,
0.04742017388343811,
0.3188171982765198,
-0.8568304777145386,
0.2482999563217163,
0.6542532444000244,
0.16806577146053314,
0.889421284198761,
0.05713373422622681,
-0.22704359889030457,
0.05539887398481369,
-1.1588366031646729,
... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | jump right and run opposite right twice | 9 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.07749736309051514,
1.1744307279586792,
-0.3349039554595947,
-0.09712774306535721,
-0.24315184354782104,
0.5107693672180176,
-0.018689796328544617,
0.6513379812240601,
-0.3647482991218567,
-0.30847522616386414,
-0.933119535446167,
-0.017343273386359215,
-0.8035939931869507,
0.087211109697... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a 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", ... | Yes | 0 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.3940659165382385,
0.13007467985153198,
0.6415436267852783,
0.30182939767837524,
0.3521313965320587,
-0.7299486398696899,
-0.0676976814866066,
0.6552547812461853,
-0.621919572353363,
-0.06982369720935822,
0.5349137783050537,
0.24700714647769928,
0.2568281292915344,
0.03250056132674217,
... |
You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words provi... | example, chemical, change? | 9 | NIv2 | task044_essential_terms_identifying_essential_words | fs_opt | [
0.750641405582428,
0.5957332849502563,
-0.31152892112731934,
-0.2540673613548279,
-0.28898751735687256,
-1.4932730197906494,
1.473863959312439,
0.6252961158752441,
-0.2528234124183655,
-0.3822822570800781,
-0.2050919532775879,
0.2424459457397461,
-0.37056654691696167,
-0.43314510583877563,... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | Solution: 15 | 5 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
1.057376742362976,
0.9932162761688232,
0.1189606785774231,
-0.7284867763519287,
-0.02677115797996521,
-0.28725558519363403,
1.3420565128326416,
-0.21637558937072754,
0.3734367787837982,
-0.9397816061973572,
0.02151130512356758,
-0.1392388492822647,
-0.8820319175720215,
-0.36793428659439087... |
instruction:
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 sentence be... | False
| 9 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.09469003975391388,
0.2139701098203659,
-0.6683835983276367,
-0.024686314165592194,
0.013747774064540863,
-0.1453307718038559,
0.7263772487640381,
0.6182989478111267,
-0.201325461268425,
0.10114385187625885,
-0.133179172873497,
0.14540529251098633,
-0.8326256275177002,
0.05294922366738319... |
Given the task definition and input, reply with output. In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Question: Dwayne... | Exercising muscles increases their size, and bigger muscles have greater strength. | 5 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
0.19978313148021698,
0.7979995012283325,
-0.27596110105514526,
-0.12286271154880524,
0.0721832811832428,
-0.10917210578918457,
0.5617676973342896,
0.6838326454162598,
0.3741455078125,
-0.3048185110092163,
-0.20712077617645264,
0.15640991926193237,
-0.7512762546539307,
-0.050068438053131104... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
वैसे , हीरो किसी क्रिकेट टीम का नेतृत्व नहीं करता , इसे छोड़ेकर कहानी ... | Okay , so the hero does not lead a cricket team , but what else is different ? | 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.4363318681716919,
0.22561591863632202,
0.33826836943626404,
-0.20171472430229187,
-0.06948994845151901,
-0.5933725833892822,
0.01184898428618908,
0.06401608884334564,
-0.37848803400993347,
-1.0119253396987915,
-0.25280338525772095,
-0.48360174894332886,
-0.5287134647369385,
0.1908412128... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Chyba lubią oglądać sztukę.
A: | I think they kind of like to look at art. | 7 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.6606553196907043,
0.7342175245285034,
0.25408387184143066,
-0.28015613555908203,
0.30420970916748047,
-0.16551242768764496,
0.3330543041229248,
-1.123879075050354,
0.7085614204406738,
-0.5184367299079895,
0.4207264482975006,
-0.08294276893138885,
-0.057889051735401154,
0.258323252201080... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Let me give you an example: Question... | ocean water | 8 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.44863519072532654,
0.3374209403991699,
-0.4521101117134094,
-0.4016704261302948,
0.3993391692638397,
-1.3547321557998657,
-0.011654647067189217,
0.9567826986312866,
0.21998512744903564,
0.531745433807373,
-0.20597244799137115,
-1.0057909488677979,
-0.7201763391494751,
0.0408881418406963... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
See one example below:... | Answer: none | 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.022506222128868103,
0.6516777276992798,
-0.42135947942733765,
0.11789754778146744,
-0.0003983384231105447,
-0.5871337652206421,
0.6948599219322205,
0.7974913120269775,
0.7068543434143066,
0.369082510471344,
-0.6185235977172852,
-0.09437156468629837,
-1.1835498809814453,
0.11518134176731... |
Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Input: [-469, -469, 920, 218, 255, 671, -395, 48, -309, 853, -909, 373]
Output: | [-470, -470, 920, 220, 260, 670, -400, 50, -310, 850, -910, 370] | 3 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7818893194198608,
0.34523874521255493,
-0.29178139567375183,
-0.46377891302108765,
-0.543978214263916,
-0.15200981497764587,
0.7928500175476074,
-0.23693722486495972,
-0.5027848482131958,
0.0967821478843689,
-0.7866494655609131,
0.27718284726142883,
-0.7399795055389404,
0.05242086201906... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | No | 9 | NIv2 | task227_clariq_classification | zs_opt | [
-0.2719425559043884,
0.17664876580238342,
0.26620039343833923,
-0.24212591350078583,
-0.446866512298584,
-0.823027491569519,
0.37807154655456543,
0.9536014795303345,
-0.19197410345077515,
0.2714359164237976,
0.2659478485584259,
0.073561891913414,
-0.8643807172775269,
0.43639814853668213,
... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >cause... | The boy forgets his swim suit >Causes/Enables> Bella gets the boy her brother's swim suit | 9 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.2986401915550232,
0.6971263289451599,
-0.23813152313232422,
-0.33631429076194763,
-0.22940310835838318,
-0.765283465385437,
-0.1304425597190857,
0.9674205780029297,
0.4672393798828125,
-0.10692747682332993,
-0.4384301006793976,
0.5215566158294678,
-0.22721955180168152,
-0.13693700730800... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Let me give you an example: 7
The answer to this example can be: Yes
Here is why: 7 is a prime number as it has no fa... | No | 8 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.33568400144577026,
1.3125795125961304,
0.12361326813697815,
0.06347747892141342,
-0.10823219269514084,
-0.3844265043735504,
0.8358951807022095,
0.8476508855819702,
0.44399815797805786,
-0.30481237173080444,
-0.5012462735176086,
0.03176002949476242,
-0.6003730297088623,
0.096039488911628... |
TASK DEFINITION: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
PROBLEM: How do oh no actually what would income differentials be if individual contributions weren't relevant to the social product?
SOLUTION: What would income differentials b... | How much do researchers now think sea levels will rise from 1990 to 2100?
| 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.06853030622005463,
0.6474679708480835,
0.003380268346518278,
-0.679815411567688,
-0.5994333028793335,
-0.3305869400501251,
1.1474899053573608,
0.04585758596658707,
0.322575181722641,
0.10353289544582367,
-0.1482866108417511,
-0.291182279586792,
-1.1287988424301147,
-0.30812305212020874,... |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | RANDOM
| 0 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.27641761302948,
0.4055383801460266,
-0.17255151271820068,
-0.3505493998527527,
-0.7403274774551392,
-0.05901111662387848,
0.37129199504852295,
0.23228788375854492,
0.7569536566734314,
-0.627383291721344,
-1.228729248046875,
-0.034498296678066254,
-0.4611937403678894,
0.13896822929382324... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: ותראו איך המעקה מתרחב ומשתטח, כך שתוכלו להניח את את ארוחת הצהריים שלכם או המחשב הנייד שלכם.
Student: | Notate come la ringhiera si allarghi e si appiattisca, permettendo di appoggiare del cibo o un computer. | 6 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
0.2727886438369751,
0.3933662474155426,
0.17338566482067108,
-0.29398125410079956,
-0.30381685495376587,
0.27106812596321106,
0.5543769598007202,
0.8103121519088745,
0.48544907569885254,
-0.3551363945007324,
0.30650603771209717,
-0.20944282412528992,
-0.541161298751831,
-0.4023701250553131... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole number... | Yes | 0 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.11164526641368866,
1.2684295177459717,
-0.041786037385463715,
-0.1543133556842804,
-0.04892700910568237,
-0.27717000246047974,
0.9014722108840942,
0.8697351217269897,
0.4997485876083374,
-0.12952351570129395,
-0.048290103673934937,
-0.11263161897659302,
-0.24022263288497925,
0.376621365... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: پس از رفتن ماریان دربارهی این حادثه اندیشید،
A: | He mused over the incident after she had gone, | 9 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.6807100772857666,
0.4121599495410919,
-0.6030607223510742,
-0.288565456867218,
-0.34463992714881897,
0.07552099227905273,
0.4311985373497009,
0.5134949684143066,
0.9132845401763916,
0.052567124366760254,
0.07037404179573059,
0.6437391042709351,
-0.03976007550954819,
0.47145724296569824,
... |
Detailed Instructions: In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Problem:right
Solution: | wrong | 8 | NIv2 | task1509_evalution_antonyms | zs_opt | [
0.30049484968185425,
1.5235052108764648,
0.72272789478302,
-0.076282799243927,
-0.5241196155548096,
-0.5349814891815186,
-0.43187186121940613,
0.6273433566093445,
0.6232118606567383,
-0.848422646522522,
-0.8972334861755371,
-0.8283205032348633,
-1.4233261346817017,
0.022846927866339684,
... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Estão todas aqui. Está tudo na internet.
| Todo esta aquí. En la web. | 5 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.6146896481513977,
1.061248540878296,
-0.05242595449090004,
-0.5721356868743896,
-0.47736674547195435,
0.08776739984750748,
0.2629281282424927,
1.0092524290084839,
0.8395578861236572,
-0.010620102286338806,
-0.4932405948638916,
1.0280667543411255,
-0.6799652576446533,
0.09909342229366302... |
Part 1. 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.
Part 2. Example
Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
Answer: A giraffe can eat ... | i 'm gon na need something more . | 7 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.3521764278411865,
0.619964063167572,
0.4547857642173767,
-0.08581726253032684,
-0.28256359696388245,
-0.6366754770278931,
0.6812433004379272,
0.4565449059009552,
-0.4621007442474365,
-0.5974161624908447,
-0.6617864370346069,
-0.20052149891853333,
-0.6979725956916809,
0.8142294883728027,... |
instruction:
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
question:
Dialogue 1: 'only love you are you sure yes'. Dialogue 2: 'i miss you 'i'll ... | yes
| 9 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.47950631380081177,
0.17697206139564514,
0.6594138145446777,
-0.3780885934829712,
-0.21609587967395782,
0.34946367144584656,
1.4574427604675293,
-0.17972272634506226,
-0.3799360990524292,
-0.20001906156539917,
0.3248952031135559,
-0.598182737827301,
-0.30122077465057373,
0.56543695926666... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Problem:Sentence 1: I had a lot of pictures from my wedding on a CD. Sentence... | b | 8 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.22965043783187866,
-0.28563976287841797,
-0.3174677789211273,
0.2492159605026245,
0.3614998459815979,
-0.02738160453736782,
0.07928653806447983,
0.7930436134338379,
0.037500955164432526,
0.29491156339645386,
-0.5422139167785645,
-0.1640804409980774,
-0.6180166006088257,
0.09398263692855... |
Teacher:This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoi... | Public figure's impressions of the novel were formed into a book called what? | 6 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.27541860938072205,
0.6616456508636475,
-0.18124476075172424,
-0.5278459787368774,
0.16914796829223633,
-0.15157943964004517,
0.9137269258499146,
0.23857595026493073,
0.6699191927909851,
0.04961372911930084,
-0.6341623067855835,
-0.5162215232849121,
-1.2492592334747314,
-0.450758934020996... |
instruction:
In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit ment... | How long did it take for him to be born?
| 9 | NIv2 | task003_mctaco_question_generation_event_duration | fs_opt | [
-0.1183941513299942,
0.7100526690483093,
-0.12058138847351074,
-0.7003813982009888,
-0.5666394233703613,
-1.184311866760254,
0.4879322648048401,
0.8984843492507935,
0.3801064193248749,
-0.2110350877046585,
-0.8267334699630737,
0.3864741623401642,
-1.1354645490646362,
0.44993168115615845,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: 16. ଦ ସେଣ୍ଟ୍ରାଲ ଗୁଡ୍ସ ଆଣ୍ଡ ସର୍ଭିସେସ୍ ଟ୍ୟାକ୍ସ (ସଂଶୋଧନ) ବିଲ୍, 2018
A: | પરંતુ પોતાના છાપાને ક્યારેય જરા સરખો અણસાર પણ ન આવવા દીધો કે ચંદ્રશેખરજી રાજીનામું આપવાના છે. | 4 | NIv2 | task1078_pib_translation_oriya_gujarati | zs_opt | [
-0.2863885760307312,
0.9714373350143433,
-0.23843443393707275,
-0.44693535566329956,
0.18542686104774475,
-1.5444163084030151,
0.23197457194328308,
0.10978152602910995,
-0.503821611404419,
-0.24170556664466858,
0.29169678688049316,
-0.8645352721214294,
-0.1470392346382141,
0.04214141890406... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Galician.
The poet Auden said, "" Thousands have lived without love; none without water. "" Ninety-seven percent of Earth's water is ocean.
A: | O poeta Auden dixo, "" Miles de persoas viviron sen amor. Ningunha sen auga. "" O noventa e sete por cento da auga da Terra é océano. | 7 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.8494371175765991,
1.2675994634628296,
-0.5100368857383728,
-1.6925370693206787,
-0.4981977045536041,
-1.3282420635223389,
-0.666370153427124,
-0.2082960307598114,
-0.08018253743648529,
-0.022659702226519585,
0.30953848361968994,
0.020703937858343124,
-1.1631217002868652,
0.1337618529796... |
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.
['3283', 'v', '9307', 'w', '4763', '8379', '5379', '2151', 'q',... | h, k, n, q, s, v, w, x | 0 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.503143310546875,
0.30608561635017395,
0.29960930347442627,
-0.020321637392044067,
0.2535325288772583,
0.3810524344444275,
1.0434765815734863,
-0.276989221572876,
-0.6496187448501587,
0.1783287674188614,
-0.3120501935482025,
-0.32712405920028687,
0.06461238861083984,
-0.15836277604103088... |
Definition: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Input: वह कर रहा है, श्री टॉरंस.
Output: | He is, Mr. Torrance. | 2 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.06412379443645477,
1.0583827495574951,
0.5629748106002808,
1.2946856021881104,
0.4297652840614319,
-0.4702519178390503,
0.27889323234558105,
-0.11158265918493271,
0.02946833334863186,
-0.28394490480422974,
-0.8059499859809875,
0.3953905701637268,
-0.5793179869651794,
0.3653010129928589,... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Problem:Un día, crucei a ponte sobre o río Oxus.
Solution: | Pewnego dnia przeszłam mostem przez rzekę Amu-daria. | 8 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.5915021896362305,
1.0260543823242188,
-0.6239720582962036,
-0.11137832701206207,
-0.2724515497684479,
-0.43182313442230225,
0.4938361346721649,
-0.17199337482452393,
-0.6384146213531494,
-0.1066526249051094,
-0.42254143953323364,
-0.5779001712799072,
-0.054683294147253036,
0.35454779863... |
The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
--------
Question: En quin any Joseph Priestley va reconèixer l’oxigen?
Answer: In wha... | What happened when cyanobacteria was assimilated?
| 7 | NIv2 | task1676_xquad-ca_translation | fs_opt | [
-0.31858503818511963,
0.7798749804496765,
-0.24101775884628296,
-0.6085782051086426,
-0.12128175050020218,
-1.3413078784942627,
0.5930907726287842,
0.07098054885864258,
0.7556667327880859,
0.0203216802328825,
-0.4499814510345459,
-0.0320299006998539,
-0.3383861184120178,
-0.416418671607971... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | run around left after run thrice | 0 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.16216063499450684,
0.7643439173698425,
-0.486328125,
0.1642916202545166,
-0.317607045173645,
0.33453190326690674,
0.006692113354802132,
0.7309774160385132,
-0.3301500082015991,
-0.13510540127754211,
-0.8014261722564697,
-0.5420606136322021,
-0.6711921691894531,
-0.08148037642240524,
0.... |
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
One example: Term: ... | Fact1: Disneyland Paris contains two parks, several hotels, and a shopping district. Fact2: By comparison, Walt Disney World in Florida contains four parks, two waterparks, a shopping district, and many hotels. Fact3: Disney World is bigger than Disneyland Paris Resort and Disneyland California Resort combined. | 6 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.09059947729110718,
0.2723270654678345,
-0.25965654850006104,
0.030220288783311844,
-0.5188232660293579,
-0.701295018196106,
0.7058683633804321,
0.8768683671951294,
-0.14528906345367432,
0.4886710047721863,
0.26157376170158386,
0.3082931935787201,
-0.45861726999282837,
-0.4601371288299560... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Let me give you an example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
The answer to this example can be: ma... | graduate | 8 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.3400094211101532,
1.4399378299713135,
0.053830571472644806,
-0.25829023122787476,
-0.380359947681427,
-0.45679545402526855,
-0.0034445631317794323,
0.9304943084716797,
0.032162800431251526,
0.23640744388103485,
-0.4541436433792114,
0.6585155129432678,
-0.5411877632141113,
0.242473736405... |
You are given a statement written in Tamil. 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 .
Ex Input:
Statement: அன்பழகன் <MASK> மாவட்டத்திலுள்ள காட்டூர் கிராமத்தில், எம். கல்யாணசுந்தரனார், சுவர்ணம்பாள் தம்ப... | திபெத்தில்
| 1 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.3920552134513855,
0.8659684062004089,
-0.02857280895113945,
-0.19933190941810608,
0.4221525192260742,
-0.6253048181533813,
-0.3014216125011444,
0.7001581192016602,
0.14297817647457123,
0.1962980180978775,
-0.6746631860733032,
0.6683439612388611,
-0.933230996131897,
-0.34911155700683594,
... |
Given the task definition and input, reply with output. You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning o... | process, glacial, ice, heated, 5°, Celsius? | 5 | NIv2 | task044_essential_terms_identifying_essential_words | zs_opt | [
0.2477734386920929,
0.4461299777030945,
-0.13656267523765564,
0.19132500886917114,
-0.2043645828962326,
-0.779379665851593,
0.2975972294807434,
0.21708479523658752,
-0.15452498197555542,
-0.7225192189216614,
-0.6246638298034668,
-0.5704536437988281,
-0.4677458703517914,
0.07332610338926315... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Neutral
| 7 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.20173661410808563,
0.32206544280052185,
-0.8153024911880493,
0.6981245279312134,
0.26064741611480713,
-0.6899396181106567,
0.713951587677002,
0.46126821637153625,
0.028164753690361977,
-0.3006408214569092,
-0.079716756939888,
0.10119010508060455,
0.10330568253993988,
-0.3368298411369324... |
Teacher: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Teacher: Now, understand the problem? If you are still confused, see the foll... | Generic personal information | 2 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.28584355115890503,
-0.3958646059036255,
-0.580475389957428,
0.051497019827365875,
-0.4769068658351898,
-1.062026858329773,
0.3426957130432129,
0.43494704365730286,
-0.22018124163150787,
0.9263161420822144,
0.7632253170013428,
-0.2796747088432312,
-0.12387137115001678,
-0.317036151885986... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Une merveille des studio Kyoto Animation. La poesie du conte en style aquarelle est très emouvante. Le parallele avec les deux heroine Nozomi et Mizore est touchant.... | 1
| 0 | NIv2 | task1591_allocine_classification | fs_opt | [
-0.4662225842475891,
-0.2465638816356659,
-0.5265070796012878,
-0.2390955686569214,
0.4084569811820984,
-0.4054165482521057,
0.9455043077468872,
0.034624092280864716,
-0.20946025848388672,
-0.022043097764253616,
0.23292383551597595,
-0.3913959860801697,
-0.10332483798265457,
0.288788676261... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
--------
Question: Así que pasé horas y horas tratando de encontrar el sentido de este extraño “Día de la Marmota ”.
Answer: Así que pasei horas e horas tratando de encontrar o sentido deste extraño “Día da Marmota ”.
Q... | Vostedes poden tomar o que sexa que crean e convertilo nunha causa e cambialo.
| 7 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.36875584721565247,
0.8513489365577698,
0.0656084194779396,
-0.23617178201675415,
-0.5941969156265259,
-1.857598900794983,
0.03385748714208603,
0.9865193367004395,
-0.7293386459350586,
-0.42981135845184326,
0.21601136028766632,
0.20676594972610474,
-0.5554234981536865,
0.0995019897818565... |
Given the task definition and input, reply with output. You are given a statement written in Telugu. 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: ఒక సంచార వైద్య శాలలో డాక్టర్లు లేరు. ముగ్గురు ప... | ఆసుపత్రి | 5 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.5083557963371277,
0.5333738327026367,
-0.056458547711372375,
0.13276144862174988,
0.40885570645332336,
-0.42140334844589233,
0.0006128083914518356,
0.6810697913169861,
0.726965606212616,
-0.07242284715175629,
-0.3747559189796448,
0.2076929807662964,
0.10866282880306244,
-0.50177019834518... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Example: Alonzo feels angry.
Example solution: male
Example explanation: The gender of the person is correct and detected mainly based on the n... | Solution: female | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4532511234283447,
0.5550577044487,
-0.41659456491470337,
-0.5531856417655945,
-0.3652065694332123,
-0.34187251329421997,
0.9202198386192322,
-0.03505049645900726,
0.5721094608306885,
-0.0307469442486763,
-0.8279691338539124,
-0.1892666220664978,
-1.083939790725708,
0.1412586122751236,
... |
Teacher: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive cate... | Neither | 2 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5855823755264282,
0.08272883296012878,
0.6275781393051147,
0.19434289634227753,
0.023526398465037346,
-0.8944911360740662,
-0.19829003512859344,
0.7591021060943604,
0.3715221881866455,
0.4564310610294342,
-0.1209423765540123,
-0.4076230227947235,
-0.8495110273361206,
-1.2144190073013306... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Ex Input:
זה תפריט טיפוסי -
Ex Output:
Ecco un tipico menu —
Ex Input:
אבל אני יכולה להגיד לכם, שהדבר שהם הכי אוהבים הוא הרובוט
Ex Output:
Ma posso dirvi che la cosa che amano di più è il robot.
Ex Input:
כך המשכתי להר... | Quindi stavo pensando, che quando si guarda al passato, il modo di capire il passato è solo tramite le tracce disponibili perché non possiamo tornare indietro al passato.
| 1 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-1.3349932432174683,
0.12374255061149597,
-0.47850218415260315,
0.9445710778236389,
-0.9696332216262817,
-0.24271434545516968,
0.10837450623512268,
0.5706058740615845,
0.5281578302383423,
-0.598296046257019,
-0.95279860496521,
0.39725929498672485,
0.05049803853034973,
0.2602362632751465,
... |
Teacher: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, us... | They were job hunting and are talking to someone about how it 's going. | 2 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.3170825242996216,
0.6648373603820801,
-0.3596130609512329,
0.2339576780796051,
-0.044217370450496674,
0.08162795007228851,
-0.12627673149108887,
0.7576045393943787,
-0.31464263796806335,
-0.47612258791923523,
0.3017911911010742,
-0.016972774639725685,
0.13077092170715332,
-0.326363086700... |
Q: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research question... | finding | 7 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.33846142888069153,
0.6847655773162842,
-0.07231837511062622,
-0.03728168085217476,
0.020575011149048805,
0.030167121440172195,
0.5416064262390137,
0.2646578550338745,
0.567131757736206,
-0.08870112895965576,
-0.528594970703125,
0.26422300934791565,
0.16376139223575592,
0.086809381842613... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have ... | Yes | 2 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.6444814205169678,
0.42397263646125793,
0.007913440465927124,
-0.27324286103248596,
-0.2632113993167877,
-1.2040090560913086,
0.9520590901374817,
0.9630042314529419,
-0.9256210923194885,
-0.12144908308982849,
-0.6162933111190796,
-0.5390098094940186,
-0.06526064872741699,
0.04941704869270... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
אקטביזם ההשמנה מסרב לעודד את הפחד הזה.
Output: | Nasi aktywiści walczą, byśmy mu nie ulegali. | 1 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
0.48972010612487793,
0.7752149105072021,
-0.06297161430120468,
-0.4299432039260864,
-0.5257737040519714,
0.1669580638408661,
1.3767048120498657,
-0.35451629757881165,
0.38816407322883606,
-0.24020549654960632,
-0.6980596780776978,
-0.024751214310526848,
-1.1221165657043457,
0.2090346068143... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.... | 貧困については | 0 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.5002648234367371,
0.3769198954105377,
-0.1591803878545761,
-0.4383118450641632,
-0.45876047015190125,
0.7646167278289795,
1.0010080337524414,
0.37154263257980347,
-0.05474487319588661,
-0.810935378074646,
-0.6063385009765625,
-0.3685818910598755,
-0.8553600907325745,
0.1666644662618637,... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: अगर किसी अपराध की वजह से आपको चोट लगी है या आपकी सम्पत्ति को हान... | He was appointed by the ruling UPA (United Party Alliance) government, who had got support from the Indian National Congress.
| 6 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.10288424789905548,
0.4092523455619812,
0.23052576184272766,
0.3293924331665039,
0.11768100410699844,
-0.21749494969844818,
0.33775758743286133,
0.9966053366661072,
-0.23937246203422546,
-0.464603066444397,
-0.5158964395523071,
-0.19994215667247772,
-0.5244243144989014,
0.382952392101287... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Q: System Reference: what area would you like the restaurant to be in?
Original Re... | 1 | 4 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.6470764875411987,
1.2628260850906372,
-0.2963321805000305,
0.10150017589330673,
-0.6318639516830444,
-0.05215040221810341,
0.5562368631362915,
0.6572399139404297,
0.1266857534646988,
-0.4507617652416229,
-0.3220592141151428,
0.1343064308166504,
-0.894652247428894,
-0.059116996824741364,... |
TASK DEFINITION: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges... | 8311
| 8 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.15778867900371552,
0.17122584581375122,
-0.6795383095741272,
-0.8066058158874512,
-0.14389097690582275,
0.03213285654783249,
0.4448866844177246,
0.20991960167884827,
-0.23247653245925903,
0.11181995272636414,
-0.9801682829856873,
0.19621652364730835,
-0.03284217417240143,
-0.17440339922... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
[EX Q]: Acho que tenho de dizer adeus agora.
[EX A]: Temo di dovervi salutare.
[EX Q]: Não há descanso para os que estão na moda.
[EX A]: Posso assicurarvelo, il mondo della moda non si ferma mai.
[EX Q]: O furacão... | Sandy ci ha ricordato di quanto una tale illusione possa essere distruttiva.
| 6 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.7856603860855103,
1.205991506576538,
-0.4081847071647644,
-0.4023466110229492,
-1.0422875881195068,
-0.5270638465881348,
-0.4087766408920288,
0.7475294470787048,
-0.04168812558054924,
-0.41861677169799805,
-0.4737533628940582,
0.3235614597797394,
-0.29588860273361206,
0.5762989521026611... |
Definition: The task is to generate the correct answer for a given math problem.
Input: Problem: if shares of two persons in profits are rs . 1600 and rs . 1200 then ratio of their capitals is
Output: | 4 : 3 | 2 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.0667814314365387,
0.9334233999252319,
-0.43765702843666077,
0.07994987070560455,
-1.0792711973190308,
1.1827518939971924,
0.9755649566650391,
0.1955156773328781,
0.4190712869167328,
-0.27145975828170776,
-0.6965230703353882,
0.7207732200622559,
-0.3572083115577698,
-0.1766156107187271,
... |
Q: 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 words removed.... | He fell asleep after putting out his cigarette. | 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.5023214817047119,
0.3115074038505554,
0.25927668809890747,
-0.4746820330619812,
-0.15413853526115417,
-0.451535165309906,
0.13422437012195587,
0.8398659229278564,
-0.4977191984653473,
-0.08740206807851791,
-0.31654882431030273,
0.45979806780815125,
-0.5391683578491211,
-0.530310034751892... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is... | undermine | 1 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.4896107614040375,
0.7726605534553528,
-0.04683554917573929,
0.422078013420105,
0.00866786204278469,
0.2084866613149643,
0.5265520215034485,
0.4697917699813843,
0.2683076858520508,
0.27263200283050537,
0.00024929054779931903,
-0.253030002117157,
0.06889347732067108,
-0.13626863062381744,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
[Q]: החזון של גלובליזציה הוא חלום שצריך להתחיל בהכרה של התועלות החיוביות של גלובליזציה.
[A]: این چشم انداز جهانی شدن همانی ست که باید با شناخت مواهب جهانی شدن آغاز شود.
[Q]: ואז הלכתי לאתר הזה שממומן על ידי הממשלה ... | حالا ممکنه شما سوال کنید ، آیا این می تواند در مقیاس بزرگ انجام شود ؟
| 5 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-0.6184637546539307,
0.4453763961791992,
0.31498628854751587,
-0.2817903161048889,
-0.4635792374610901,
0.3006073832511902,
1.067624568939209,
0.1422576904296875,
0.09183968603610992,
-0.5786474943161011,
-0.813177227973938,
0.2818528413772583,
-0.6691551804542542,
0.2225082665681839,
0.... |
Given the task definition and input, reply with output. In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to prod... | Just as they are about to take a group of underprivileged children on a riverboat ride and picnic, Deborah Bishop Jeanne Crain, Rita Phipps Ann Sothern, and Lora Mae Hollingsway Linda Darnell receive a message from Addie Ross informing them that she has run off with one of their husbands. She, however, leaves them in s... | 5 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.5914323925971985,
0.8340783715248108,
-0.13509956002235413,
0.16709458827972412,
-0.2813866138458252,
-0.5702357292175293,
-0.014805701561272144,
0.49095630645751953,
0.32583171129226685,
-0.4334297180175781,
-1.051985263824463,
-0.19243285059928894,
-0.46027928590774536,
0.6021634936332... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
question:
Ma parliamo anche di energie rinnovabili, che sono essenziali.
answer:
Y luego hablando acerca de la energía renovable, desesperadamente importante.
question:
Lo so, avrei dovuto mettere l'immagine ... | Encontramos que todos estos tipos de cáncer compartían el mismo ADN.
| 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.36447739601135254,
1.1301683187484741,
-0.14738038182258606,
-0.23630653321743011,
-1.2550299167633057,
-1.4226692914962769,
0.6389661431312561,
1.0982710123062134,
-0.34141820669174194,
-0.7094534635543823,
-0.1638631373643875,
0.2953982949256897,
-0.42651858925819397,
0.38591372966766... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Example: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Example solution: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Example explanation: ... | Solution: עכשיו ריאה זה דבר מאוד מוזר. | 5 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.2279388904571533,
1.0210187435150146,
-0.09379298985004425,
0.17145481705665588,
-0.8068320751190186,
-0.3490758538246155,
0.38493022322654724,
0.09034208953380585,
0.5111397504806519,
-0.10274989902973175,
-1.1586934328079224,
0.5457301139831543,
-0.6718461513519287,
0.1641618907451629... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given books product reviews in French 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 sentime... | POS | 0 | NIv2 | task482_cls_french_books_classification | fs_opt | [
-0.10665784776210785,
0.23292970657348633,
-0.7025054693222046,
-0.29909422993659973,
-0.05984610319137573,
0.3026764988899231,
1.0350124835968018,
0.07469747960567474,
0.34907788038253784,
0.15041287243366241,
-1.183429479598999,
0.2400786578655243,
-0.3359665870666504,
0.0106255151331424... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Input: So we can see where it's emerging here, like President Ford, Iraq, Bush. And we can actually isolate just the words — I call them secrets — and we can cause them to form an alphabetical list. And we see ... | ここに浮かび上がっているもの、例えば、フォード大統領イラク、ブッシュなどそして単語だけを分離させこれをsecretsと呼んでいますが、これを使いアルファベット順のリストを生成できますアンナニコールスミスが重要な役を演じた事がわかります | 2 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.5033749341964722,
-0.055148497223854065,
0.09962724149227142,
-0.23759156465530396,
-0.029743444174528122,
-0.19331173598766327,
0.3867701292037964,
0.25531166791915894,
0.7793676257133484,
0.07281134277582169,
0.017135053873062134,
-0.536623477935791,
-0.670825719833374,
-0.21683248877... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no
| 7 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.11541485786437988,
0.08071151375770569,
0.21968422830104828,
0.05782502144575119,
0.0650353729724884,
-0.6694720983505249,
0.8481601476669312,
0.5416855812072754,
-0.24348801374435425,
0.7179219722747803,
0.1095614954829216,
-0.5405069589614868,
-0.5413784384727478,
-0.8196948170661926,... |
TASK DEFINITION: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
PROBLEM: who plays the ... | Herodotus
| 8 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.12324932962656021,
1.2106261253356934,
-0.27788829803466797,
-0.49275100231170654,
-0.6054776906967163,
0.20699210464954376,
0.8846718668937683,
0.6499855518341064,
0.3338617980480194,
-0.32832247018814087,
-0.3076750934123993,
0.698654055595398,
-0.7622879147529602,
0.00066045881249010... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 6 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.6009626984596252,
-0.06272736936807632,
0.0927470400929451,
-0.05593404173851013,
-0.7429636716842651,
-0.987960696220398,
1.234633445739746,
0.791047215461731,
-1.2063339948654175,
-0.40551137924194336,
-0.6549548506736755,
-0.2905474305152893,
-0.9659522175788879,
-0.21871499717235565,... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if... | Expensive
| 1 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.6503521800041199,
0.14159570634365082,
-0.3984028697013855,
-0.41505545377731323,
0.6287908554077148,
-0.27035337686538696,
0.5914905071258545,
0.6709480285644531,
-0.5678094625473022,
0.03747502341866493,
0.4858165383338928,
0.08545584231615067,
-0.33640533685684204,
0.03899119421839714... |
instruction:
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
question:
[245.776, 147.756, 46.081, 137.159, 69.132, -81.718, 135.053, 200.574]
answer:
[ 0.273 0.16... | [-0.014 0.296 0.308 0.121 0.316 0.013 0.039 -0.08 ]
| 9 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5548665523529053,
0.47946277260780334,
-0.9202265739440918,
-0.7850887775421143,
0.022302599623799324,
0.059326283633708954,
0.5097872614860535,
0.014811006374657154,
-0.5407356023788452,
0.005090340971946716,
-0.934704065322876,
0.5284338593482971,
-0.3963719606399536,
-0.3380224704742... |
Definition: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a conclu... | changes in the environment are detected by sensory nerve cells. | 2 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.05022791773080826,
0.3485516905784607,
-0.565005898475647,
0.08626408874988556,
-0.6180850267410278,
-0.8383301496505737,
-0.19158326089382172,
0.708585798740387,
-0.13855603337287903,
-0.531090497970581,
-1.2526086568832397,
0.5000542402267456,
-0.6148452758789062,
0.2476733922958374,
... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
E... | Inversion | 3 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.4866703450679779,
0.606083869934082,
0.6168996691703796,
0.003839466953650117,
-0.10393829643726349,
-0.4798824191093445,
0.9973758459091187,
-0.005066949408501387,
0.23581142723560333,
-0.5936542749404907,
-0.837374746799469,
-0.3402182459831238,
-0.8873140811920166,
-0.139861121773719... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Lo sport dell'acquisto di una birra sta avendo meno merito. | 0 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
0.014086462557315826,
0.6270473003387451,
-0.2330910861492157,
0.16878412663936615,
-0.7921621799468994,
-0.771786093711853,
0.653831958770752,
1.4703316688537598,
0.1954442858695984,
-0.689271092414856,
-0.9273473024368286,
0.20112600922584534,
-0.9181262254714966,
0.44668349623680115,
... |
You will be given a definition of a task first, then some input of the task.
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: I need a information of hospital in town, please. Sentence2: No, that will be all. Good bye. Sentence... | Answer: (A) User | 1 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.5576098561286926,
1.4584436416625977,
-0.46922770142555237,
-0.9591832756996155,
0.10824570804834366,
-1.2056694030761719,
-0.004518483765423298,
0.176287442445755,
0.5728489756584167,
-0.2431212067604065,
-0.3111594617366791,
0.2013130784034729,
0.20660746097564697,
-0.20133721828460693... |
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.
One example is below.
Q: All of us here are pleased that the courts have acquitted... | English | 9 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.04685719311237335,
0.7373444437980652,
0.9547385573387146,
-0.5861566066741943,
0.181174173951149,
-0.8116612434387207,
-0.15930485725402832,
1.2158339023590088,
0.3269938826560974,
-0.21589070558547974,
-0.11719769984483719,
0.12015624344348907,
-0.09561444818973541,
-0.689496040344238... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
---... | Unidentifiable
| 7 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.7780486345291138,
0.5348345041275024,
-0.21881137788295746,
0.009099510498344898,
0.18660672008991241,
0.4557408094406128,
-0.597031831741333,
1.050868272781372,
0.23396214842796326,
0.3500875234603882,
-1.0481224060058594,
0.16678185760974884,
-0.15521463751792908,
-0.4575960040092468,... |
Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the posi... | 5, I made a little bit of money. | 3 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.24183890223503113,
0.9681379795074463,
-0.39641353487968445,
-0.3326689898967743,
0.3590002655982971,
0.1396421492099762,
0.708282470703125,
0.08223967254161835,
0.2963855266571045,
-0.2054068148136139,
-0.6595467925071716,
-0.7337228059768677,
-0.35536596179008484,
-0.03295328840613365... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Problem:E 'una scuola in cui si paga l'iscrizione. E' una buona scuola.
Solution: | Esta es una escuela gratuita. Esta es una buena escuela. | 8 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.1485806107521057,
0.12456539273262024,
-0.2800102233886719,
-0.48891976475715637,
-0.07976663112640381,
-0.7999486327171326,
-0.33161085844039917,
1.8016259670257568,
0.21157783269882202,
-0.4679049849510193,
0.33660340309143066,
-0.2021419107913971,
-0.2942609190940857,
0.2073561847209... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: RT @meaghanyockey: "@savanaharanda: Is you a girl or a guy is you my mom or i... | false
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.074022650718689,
0.051054250448942184,
0.6483274698257446,
0.38275963068008423,
-0.37865471839904785,
-1.0004202127456665,
-0.05932193621993065,
0.963732123374939,
0.8793412446975708,
0.19645807147026062,
-0.07680144906044006,
0.06859245896339417,
-0.6384977698326111,
-0.780188202857971... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: Istnieją dziedziczne wady, które mogą spowodować większą ilość szumu.
A: وهناك العديد من العيوب الموروثة التي يمكن أن تجعل الآلة المعالجة مشوشة.
****
Q: A metaforyczna prawda zakłóca naszą zdolnosć do uznania go jako dosł... | وقلت ، أكبر مفاجأة في حياتي هي قصر الحياة
****
| 4 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.8638681173324585,
0.9203131794929504,
0.10241787135601044,
-0.9354112148284912,
-0.32207515835762024,
-0.29967257380485535,
1.0060315132141113,
0.2319619357585907,
0.5224575996398926,
-0.02679077535867691,
-0.8756726980209351,
0.4147586226463318,
-0.5425387024879456,
0.20543062686920166... |
Instructions: This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input... | 20 Fenchurch Street | 3 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.5463629961013794,
0.924752950668335,
-0.29755333065986633,
-0.7688429355621338,
-0.23965802788734436,
-0.951842188835144,
0.3195480406284332,
-0.07482951134443283,
0.7225207686424255,
-0.1440146267414093,
-0.8257717490196228,
0.9218717813491821,
-1.1229565143585205,
-0.45494651794433594... |
You will be given a definition of a task first, then some input of the task.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent ... | No | 1 | NIv2 | task353_casino_classification_negotiation_elicit_pref | zs_opt | [
-0.4221786856651306,
0.12687163054943085,
-0.3496862053871155,
-0.1901111900806427,
-0.40719854831695557,
-0.7428685426712036,
0.5411238670349121,
0.546928882598877,
-0.22707706689834595,
0.03714299574494362,
0.1998581886291504,
-0.2985954284667969,
-1.1170943975448608,
0.01181647181510925... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
--------
Question: Así que o único xeito para realmente parar o crecemento poboacional mundial é continuar mellorando a porcentaxe de nenos que sobreviven atá o 90 porcento
Answer: אז הדרך היחידה כדי באמת לעצור את גידול ה... | זה ממשיך עוד ארבע תחנות.
| 7 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-1.1701080799102783,
0.6959709525108337,
0.16587691009044647,
-0.3588910400867462,
-0.9598960876464844,
-0.43633848428726196,
0.702251672744751,
0.1992996335029602,
-0.05281854420900345,
0.00888700783252716,
-1.2796415090560913,
0.5106709599494934,
-1.1368112564086914,
0.5884400010108948,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.