inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
i feel quite reassured but the jurys verdict isnt in yet
| joy | 5 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.5938688516616821,
0.4918283522129059,
0.6360247135162354,
0.45025283098220825,
-0.31646913290023804,
-0.49482354521751404,
0.23360836505889893,
0.20775479078292847,
0.3480765223503113,
-0.15338771045207977,
0.15935808420181274,
0.04185850918292999,
-0.5998625159263611,
0.257273614406585... |
Detailed Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible rea... | How does the narrator feel about their weekend .? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
-0.2155109941959381,
-0.3257753252983093,
-0.08380334079265594,
0.2240602672100067,
-0.3334403336048126,
-0.6039284467697144,
0.030912794172763824,
0.9170793294906616,
0.15708348155021667,
0.17252901196479797,
-0.21574896574020386,
-0.07250379770994186,
-0.08087535202503204,
0.221264243125... |
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: == யாழ் சம்பத்தரிசியார் கல்லூரி, (St.Patrick’s College) குருநகர், யாழ்ப்பாணம், <MASK>யில் உள்ள... | இந்தியக்
| 1 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.7888280153274536,
0.2944214344024658,
-0.054134562611579895,
-0.23291829228401184,
0.3518441915512085,
-0.9390614032745361,
0.4120742380619049,
1.3298243284225464,
-0.38844239711761475,
-0.023947041481733322,
0.6421827077865601,
0.7869518995285034,
-0.5839516520500183,
0.0728415623307228... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one
| 6 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.7126681804656982,
-0.014553387649357319,
0.20543530583381653,
0.4485354423522949,
0.2084328532218933,
-0.439208447933197,
-0.2962431311607361,
1.3928450345993042,
-0.4157079756259918,
0.1997697949409485,
-0.34093940258026123,
0.26823118329048157,
-0.34462815523147583,
-0.202260613441467... |
You will be given a definition of a task first, then some input of the task.
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
പ്രധാനമന്ത്രി ഭാരതീയ ജനൗഷധി പദ്ധതിയുടെ ഗുണഭോക്താക്കളുമായി പ്രധാനമന്ത്രി ആ... | மக்களுக்கான மருந்துகளை வழங்குவதற்கான பிரதமர் தேசிய திட்டத்தினால் பயனடைந்தோருடனும் மற்றும் மக்களுக்கான மருந்து விற்பனையகங்களின் உரிமையாளர்களுடனும் பிரதமர் திரு. நரேந்திர மோடி இன்று காணொளிக் காட்சியின் மூலம் கலந்துரையாடினார். | 1 | NIv2 | task999_pib_translation_malayalam_tamil | zs_opt | [
-0.2048048973083496,
0.2623599171638489,
0.13644742965698242,
-0.4957358241081238,
0.15817810595035553,
-0.7390123605728149,
0.7994111180305481,
0.2137298285961151,
-0.11021262407302856,
0.4210832118988037,
-0.6772404313087463,
0.08952130377292633,
-0.3639485836029053,
0.23112110793590546,... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: DER Tristan . In dieser Aufnahme passt einfach alles: von der ersten Note an eine überw... | POS
****
| 4 | NIv2 | task481_cls_german_music_classification | fs_opt | [
0.9540795087814331,
0.2553585171699524,
-1.1596548557281494,
-0.10482892394065857,
0.6606897115707397,
-0.5153056383132935,
1.572948932647705,
0.5927292108535767,
0.26023703813552856,
0.7736945748329163,
-0.050015877932310104,
0.4810921847820282,
-0.8507928252220154,
-0.07270967960357666,
... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: ... | 9071, 8525, M, v, 4979, d, 6325, W, m, 3425, 4327, 6295, z, 4233, 5965, 4269, u, u, 9437, P, W, B, 4187, W, a, Q, 2649, l, y, 8613, M, 5963, 7525, 6619, d, R, 13, 3883, 1445, s, z, 3069, 4431, 6309, 5245, Y | 2 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.14212244749069214,
-0.35668954253196716,
-0.44267866015434265,
-1.064307451248169,
-0.4135743975639343,
-0.43693774938583374,
0.47673702239990234,
0.5544943809509277,
-0.6785244941711426,
-0.10937635600566864,
-0.3330721855163574,
-0.032281529158353806,
0.2133149653673172,
-0.32529038190... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Q: At 12 months there was still a difference in function, although it was not a significant one.
A: | La 12 luni încă exista o diferență în funcție, deși nu era una însemnată. | 9 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
-0.0901118814945221,
0.6380738615989685,
-0.06997443735599518,
-0.9561514258384705,
-0.059066299349069595,
-0.8220769166946411,
0.9383606910705566,
0.6221472024917603,
0.16360211372375488,
0.018740342929959297,
0.9103676080703735,
0.34370219707489014,
-0.5647033452987671,
-0.03215399384498... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
في السبعون من عمره قدم شيئاً مبدعاً جداً | בגיל 70, הוא רוקם משהו מאוד יצירתי. | 0 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.5392799973487854,
1.3624145984649658,
0.2855113446712494,
-0.5447479486465454,
-0.6315202713012695,
-0.08524438738822937,
0.36265426874160767,
0.3044236898422241,
1.2576513290405273,
-0.7575430870056152,
-0.3010936379432678,
0.5853584408760071,
-1.3257564306259155,
0.38029250502586365,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N res... | C | 8 | NIv2 | task190_snli_classification | zs_opt | [
-0.5263333320617676,
0.2411201000213623,
0.08905381709337234,
-0.49147406220436096,
0.028595970943570137,
-1.0275077819824219,
0.23017673194408417,
0.8151007890701294,
0.32377201318740845,
0.13334748148918152,
-0.6126830577850342,
-0.6499370336532593,
-0.5726069808006287,
-0.78129112720489... |
Definition: 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.
Input: [-62.009, 169.335, 64.422, 3.147]
Output: | [-0.355 0.968 0.368 0.018] | 2 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.06429548561573029,
0.26498642563819885,
-0.7995409965515137,
-1.214412808418274,
0.060968734323978424,
0.3593456745147705,
0.23386596143245697,
-0.3078974485397339,
-0.23527202010154724,
-0.44248729944229126,
-0.6983380913734436,
0.44475236535072327,
-0.2770524024963379,
-0.414940685033... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words o... | The DVD were returned at the redbox machine | 4 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.19610485434532166,
0.13511574268341064,
-0.0851220041513443,
0.3196091055870056,
-0.7744162678718567,
0.39758655428886414,
1.282544493675232,
1.0083680152893066,
0.19078101217746735,
0.08520878106355667,
-0.00512333819642663,
-0.5498248338699341,
-0.31085342168807983,
0.5288192629814148,... |
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corp... | ADJ | 2 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.6391910314559937,
0.1320192962884903,
-0.34750983119010925,
0.2550480365753174,
-0.28588730096817017,
-1.0084943771362305,
0.543608546257019,
0.7183489203453064,
0.008510506711900234,
0.1437189131975174,
-0.3508659601211548,
0.40140336751937866,
-0.7393019199371338,
0.3675882816314697,
... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Ex Input:
Context: We continue to get... | what will the protocol be?
| 1 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.3009149730205536,
-0.23845894634723663,
-0.13733556866645813,
1.0214941501617432,
-0.16734300553798676,
-0.2990911304950714,
0.049979910254478455,
0.7425186634063721,
-0.17588189244270325,
0.4714246988296509,
-0.3752438426017761,
-0.10083355009555817,
0.08859225362539291,
0.299405574798... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: E de todos esses números, eu começo com apenas duas ou três variáveis.
A: | And from all of these numbers, I start with only two or three variables. | 9 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
-0.482732355594635,
0.4875364601612091,
0.3086484670639038,
-0.4485960006713867,
-0.6083411574363708,
-0.31291186809539795,
-0.8080255389213562,
1.5182902812957764,
0.30338776111602783,
0.002024430315941572,
-0.15472912788391113,
-0.06396400928497314,
-0.21037712693214417,
-0.4532770812511... |
Given the task definition, example input & output, solve the new input case.
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 classi... | non-political | 1 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.5851970911026001,
0.052213557064533234,
0.26499074697494507,
0.7846347093582153,
-0.4310837388038635,
0.16895924508571625,
0.1543501317501068,
0.8654522895812988,
-0.41173994541168213,
0.2586870491504669,
-0.3039214313030243,
-0.17929011583328247,
0.044780999422073364,
-0.80715358257293... |
Teacher:In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | True | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.07821568846702576,
-0.3610529601573944,
-0.825661838054657,
0.7216285467147827,
-0.22877717018127441,
-0.4474295973777771,
1.0297691822052002,
0.06841836869716644,
-0.18190032243728638,
0.21659578382968903,
-0.6166019439697266,
0.5308604836463928,
-0.47721025347709656,
-0.133422330021858... |
Detailed Instructions: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem im... | True | 4 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.09698054194450378,
0.27006202936172485,
-0.37169349193573,
0.21009714901447296,
0.13134118914604187,
-0.4483755826950073,
0.39289894700050354,
1.586694359779358,
0.07338277995586395,
0.4439508318901062,
-1.2044652700424194,
0.008985471911728382,
0.025487039238214493,
0.2297201156616211,
... |
instruction:
You are given a statement written in Panjabi. 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 .
question:
Statement: ਸੰਯੁਕਤ ਰਾਜ ਅਮਰੀਕਾ ਦਾ ਸਭਿਆਚਾਰ (ਅੰਗ੍ਰੇਜ਼ੀ: culture of the United States of America... | ਗੁਜਰਾਤ
| 9 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.392264723777771,
0.04706939309835434,
-0.457322359085083,
0.41122162342071533,
0.31224024295806885,
-0.2930467426776886,
0.26175016164779663,
0.6552239656448364,
-0.48290860652923584,
0.1365230828523636,
0.31473881006240845,
0.45851683616638184,
-0.18748918175697327,
-0.48552650213241577... |
Teacher:In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: @markboulton @robertmills Looks like I'm on tea duty all day.
Student: | negative | 6 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.4088802337646484,
0.3377092480659485,
0.8933249711990356,
0.5145230293273926,
0.15246957540512085,
-1.155472755432129,
-0.2742815911769867,
0.1865749955177307,
0.9399938583374023,
0.1313304901123047,
-0.693440854549408,
-0.9374040365219116,
0.10315919667482376,
-0.892022967338562,
0.3... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relev... | However, when he cut into it, it was still pink. | 1 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.23806889355182648,
0.9401094913482666,
0.029114287346601486,
-0.32697129249572754,
0.05085720866918564,
-0.25416624546051025,
0.0981089174747467,
0.7324615120887756,
0.214555025100708,
-0.03056657686829567,
-0.6705360412597656,
-0.3482241630554199,
-0.0889923945069313,
-0.11021807044744... |
Teacher:Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Teacher: Now, understand the problem? Solve this instance: Text: 'i'm at the lake'
Student: | English | 6 | NIv2 | task896_miam_language_classification | zs_opt | [
0.11917366087436676,
0.3938934803009033,
0.17142324149608612,
-0.7915480136871338,
-0.5295212268829346,
-0.6870917081832886,
-0.21216687560081482,
0.33128222823143005,
0.21282576024532318,
-0.19106213748455048,
0.14022397994995117,
-0.5391051769256592,
-0.8002776503562927,
-0.6355845332145... |
instruction:
A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
question:
ملک بھر میں جی ایس ٹی نافذ ہونے کی وجہ سے ٹرانسپورٹیشن اور بہتر ہوا ہے اور لاجسٹک سیکٹر اور مضبوط ہوا ہے۔
answer:
देशभरात वस्तू आणि सेवा... | स्थानिक पातळीवरील, संघीय संसद आणि पहिल्याच प्रांतीय निवडणुकांच्या यशस्वी आयोजनाबद्दल पंतप्रधान मोदी यांनी नेपाळची जनता आणि सरकार यांचे अभिनंदन केले आणि स्थैर्य आणि विकासाच्या त्यांच्या दूरदृष्टीची प्रशंसा केली.
| 9 | NIv2 | task990_pib_translation_urdu_marathi | fs_opt | [
-0.7214885950088501,
0.4103074371814728,
-0.14132161438465118,
-0.25775766372680664,
0.05811726301908493,
-0.8507426381111145,
0.6904158592224121,
0.28198862075805664,
-0.14783026278018951,
-0.08623622357845306,
-0.7997349500656128,
-0.27812659740448,
-0.29639938473701477,
0.47796940803527... |
Teacher:Given a text, write a compressed version of it in a single sentence.
Teacher: Now, understand the problem? Solve this instance: I wish I could tell you that everyone is concerned about protecting earth’s animals -- dogs, cats, farm animals and wildlife. The sad truth is animal cruelty, abuse and neglect continu... | I wish i could tell you that everyone is concerned about protecting dogs, cats & farm animals & wildlife. The truth is cruelty,abuse & neglect keeps greing accross the nation & our community. | 6 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-0.4233321249485016,
0.8874341249465942,
-0.39786481857299805,
-0.3997843861579895,
-0.8084366917610168,
-1.4308881759643555,
0.31865811347961426,
0.6272563934326172,
-0.24354231357574463,
-0.38386720418930054,
-0.4607709050178528,
0.38616424798965454,
-0.7304949760437012,
-0.3415347337722... |
TASK DEFINITION: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
PROBLEM: English: Oil has risen to a new all-time record high durin... | Yes
| 8 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.2100069671869278,
-0.23685593903064728,
-0.21175840497016907,
0.13439124822616577,
-0.11749471724033356,
-0.533128023147583,
0.2970622479915619,
0.8322175741195679,
-0.5709917545318604,
-0.04355014115571976,
-0.3308345675468445,
0.01186351291835308,
-0.6162952184677124,
0.023022867739200... |
Detailed Instructions: Given a sentence, generate a new 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 ... | Many moments are filled with humour , instruction , and interesting ideas . | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.7195055484771729,
0.6508551239967346,
0.23507332801818848,
-0.513935923576355,
-0.30381646752357483,
-1.0395348072052002,
0.3316302001476288,
0.5828077793121338,
0.11745981127023697,
-0.13438718020915985,
-0.8161590695381165,
-0.4814663529396057,
-0.2744177579879761,
0.4764385223388672,... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | b
| 0 | NIv2 | task231_iirc_link_classification | fs_opt | [
-0.22021082043647766,
0.5125120878219604,
-0.12640029191970825,
0.3258039355278015,
0.45574575662612915,
0.07059020549058914,
0.9527230262756348,
0.6450578570365906,
0.1688455045223236,
0.4303301274776459,
-0.013806860893964767,
1.0162935256958008,
-0.40825754404067993,
0.41290146112442017... |
Given the task definition and input, reply with output. In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Die Zukunft liegt in deiner Hand . W... | POS | 5 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.6200845837593079,
0.30251431465148926,
-0.24800127744674683,
-0.3903283476829529,
-0.2870267629623413,
0.49594974517822266,
1.7040460109710693,
0.8416879177093506,
0.5312824845314026,
0.39322400093078613,
0.06301605701446533,
-0.13091082870960236,
-0.5602010488510132,
-0.140617504715919... |
TASK DEFINITION: Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object ... | 0
| 8 | NIv2 | task1584_evalution_meronym_classification | fs_opt | [
0.16533955931663513,
0.6658439040184021,
-0.2952977120876312,
0.0700448751449585,
-0.035654038190841675,
-0.3440060317516327,
1.7966744899749756,
0.5753604173660278,
-0.03890813887119293,
-0.3974694311618805,
-0.6180374622344971,
0.18809640407562256,
-0.7394133806228638,
0.1715305745601654... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Vi vill säkert inte ha någon organisation av marknaden f... | Swedish | 0 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.20448178052902222,
0.7403889894485474,
0.6850221753120422,
-0.758365273475647,
-0.5003129243850708,
-0.505813717842102,
0.5896875262260437,
0.6044877767562866,
0.36430004239082336,
-0.19812148809432983,
-0.11339232325553894,
0.14798226952552795,
-0.34773555397987366,
-0.2365567088127136... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Business | 6 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.39413219690322876,
0.8159098625183105,
-0.25769829750061035,
0.4162040948867798,
0.02765144407749176,
0.033558133989572525,
-1.3480404615402222,
0.16416306793689728,
0.19534149765968323,
-0.020154796540737152,
-0.5512548089027405,
0.03255509212613106,
0.28298187255859375,
-0.18798236548... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in French, generate a new French 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 hi... | Café sans tache est appelé café blanc. | 1 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.3364582657814026,
0.810110867023468,
0.2279081642627716,
-0.20753434300422668,
0.3788280189037323,
0.3872036337852478,
0.2637547254562378,
0.5699608325958252,
0.31661224365234375,
-0.3727830648422241,
-0.7541252970695496,
-0.7447908520698547,
-0.3072863519191742,
-0.3455236852169037,
... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
A balloon is a flexible bag that can be inflated wi... | second | 0 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
0.7721503376960754,
1.144322156906128,
-0.04464226961135864,
-0.6215611100196838,
-0.11756188422441483,
-0.6096305251121521,
0.4554904103279114,
0.39246925711631775,
-0.013046080246567726,
-0.36836761236190796,
-0.5385245084762573,
-0.47458797693252563,
-0.5332269668579102,
-0.155651509761... |
In this task, you need to reverse the order of words in the given sentence.
One example is below.
Q: Sentence: luggage surrounds a vehicle in an underground parking area
A: area parking underground an in vehicle a surrounds luggage
Rationale: This is a correct answer, as it correctly reverses the order of the words.
Q:... | up push a of middle the in food some of bite a takes man a | 9 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.19404615461826324,
1.039118766784668,
-0.12174595892429352,
-0.4169662594795227,
-0.32165607810020447,
-0.27971696853637695,
0.2726883292198181,
0.5821160078048706,
0.7156980037689209,
-0.4573269486427307,
-0.8374075889587402,
-0.336710125207901,
-0.41377562284469604,
-0.1690301448106765... |
Detailed Instructions: 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.
Problem:['6281', '5189', '7821', '3179', ... | e, h, r, t, w | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.27885693311691284,
0.36460772156715393,
0.2488713562488556,
-0.14565405249595642,
0.35517898201942444,
0.32773464918136597,
0.5820287466049194,
0.030113892629742622,
-0.5704268217086792,
0.010113660246133804,
-0.4578631520271301,
-0.3363955616950989,
-0.038759779185056686,
-0.2342884093... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Let me give you an example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954... | Which actor had more skills besides acting, Pier Paolo Pasolini or David Wall? | 8 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7837376594543457,
0.3380376994609833,
-0.8237434029579163,
1.0233982801437378,
0.5193663835525513,
-0.15907111763954163,
0.6986279487609863,
0.5837059020996094,
-0.07403048872947693,
0.3463640809059143,
-0.06835490465164185,
0.5107598304748535,
-0.9527741074562073,
-0.06729194521903992,
... |
Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' cate... | No | 3 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.47462227940559387,
0.3912757933139801,
0.27573728561401367,
0.7773338556289673,
-0.13915708661079407,
-0.12707681953907013,
-0.0057015432976186275,
1.3596587181091309,
0.05644054710865021,
-0.024066602811217308,
-0.6029176712036133,
-0.7108954191207886,
-0.182064950466156,
-0.1163147538... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 21 Rabbiguna wuxuu Muuse ku yidhi, Markii aad Masar ku noqotid, cajaa'ibyadii aan gacantaada ku riday oo dhan Fircoon hortiisa ku samee, laakiinse anigu qalbigiisaan qall... | 21 And the Lord said to him as he was returning into Egypt: See that thou do all the wonders before Pharao, which I have put in thy hand: I shall harden his heart, and he will not let the people go. | 0 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
0.5853248238563538,
0.8309693336486816,
0.3681947588920593,
-0.4219093918800354,
-0.7645295262336731,
-0.5595972537994385,
0.5857751369476318,
0.3767200708389282,
0.07412565499544144,
-0.4740157127380371,
-0.43392571806907654,
1.2868499755859375,
-0.8044359683990479,
-0.00980285182595253,
... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in... | 3, 4, 7, 8, 9, 10, 12, 14, 17, 18, 21, 23, 26, 28, 30 | 9 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.22542133927345276,
0.5271444320678711,
0.29835832118988037,
-0.9670332670211792,
0.5768274664878845,
-0.8543767929077148,
0.9443520307540894,
-0.2728525996208191,
-0.5246520042419434,
0.2871789336204529,
-0.4758151173591614,
-0.1615677773952484,
0.12811055779457092,
-0.07898695766925812... |
instruction:
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 certain way, mix... | put a new patio in with stone tiles and a barbecue.
| 9 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.44942420721054077,
0.6895151138305664,
-1.0013225078582764,
-0.08327680826187134,
-0.11966027319431305,
-1.3970428705215454,
0.7015692591667175,
1.3086377382278442,
-0.5113850831985474,
0.46456360816955566,
-0.22955933213233948,
-0.01641865447163582,
-0.7405625581741333,
-0.1849698722362... |
You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it... | 1 | 6 | NIv2 | task1535_daily_dialog_uniqueness_classification | fs_opt | [
0.5845201015472412,
-0.47820359468460083,
-0.04912324994802475,
0.5842126607894897,
0.3695511221885681,
-0.9340416193008423,
0.860546350479126,
0.2112741321325302,
0.025553839281201363,
-0.23512202501296997,
-0.07007403671741486,
-0.017404882237315178,
0.14334066212177277,
0.01562672480940... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Política
Mientras gran parte del contenido de las letras de Rage Against the Machine es de te... | la constructora brasileña Odebrecht
| 0 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
-0.1896328628063202,
0.4801997244358063,
-0.5575158596038818,
-0.08090352267026901,
0.4498756527900696,
0.5654588937759399,
0.9287325143814087,
1.2202935218811035,
-0.20246484875679016,
0.5183937549591064,
-0.6093589067459106,
0.4640682637691498,
-0.3728005886077881,
-0.1598026156425476,
... |
Given a scientific question, generate a correct answer to it.
One example: Who proposed the theory of evolution by natural selection?
Solution is here: darwin
Explanation: This is a direct fact that Charles Darwin proposed the theory of evolution.
Now, solve this: The loss of oxygen to the heart muscle causes that par... | die | 6 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.16881653666496277,
0.6594408750534058,
-0.9207450151443481,
-0.4986543655395508,
-0.4381304979324341,
-0.6517384648323059,
-0.08004587143659592,
0.054779328405857086,
0.842373788356781,
-0.11255614459514618,
-0.3710152804851532,
-0.32916077971458435,
-1.45609450340271,
-0.338464140892028... |
In this task, you will be presented with a question having multiple possible answers in Russian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: Птица молода и все еще гнездится, что она, скорее всего, сделает в ближайшее время? ... | E | 4 | NIv2 | task1139_xcsr_ru_commonsense_mc_classification | zs_opt | [
-0.9700534343719482,
1.132423996925354,
-0.04492118954658508,
-0.89551842212677,
-0.5610349178314209,
0.09544692933559418,
0.3385109305381775,
0.9369035959243774,
-0.21201109886169434,
0.1899644434452057,
-0.5901972651481628,
0.1461559683084488,
-0.3770297169685364,
0.10279396921396255,
... |
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.... | 実際 100% に達するのに 2015年までかからない可能性さえ十分ありますインドや中国などの新興国では堅調な進歩が見られますしかしアフリカやラテンアメリカの国などそれほど発展していない国では進歩はかなり遅いんです実際のところ私は最近南アフリカを訪ね | 0 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.4456811547279358,
-0.053354665637016296,
-0.3320350646972656,
-0.23739980161190033,
-0.15096044540405273,
0.3868597149848938,
0.18426960706710815,
0.7819286584854126,
-0.7706000804901123,
-0.34222978353500366,
-0.21179966628551483,
-0.2869347631931305,
-0.895835280418396,
0.047922246158... |
instruction:
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupa... | director
| 9 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.36218714714050293,
0.12823979556560516,
-0.04313269630074501,
0.20933736860752106,
0.255462646484375,
0.13936975598335266,
-0.3051082491874695,
-0.0724969133734703,
-0.017111465334892273,
-0.3213268518447876,
-0.5694132447242737,
-0.027665086090564728,
-0.061912037432193756,
-0.208079218... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Example Input: أزالواا البيض و الحليب من المسحوق.
Example Output: Quitaron os ovos e o leite do po.
Example Input: كنت تحتاج إلى خيال أفضل لتلعب هذه اللعبة ديث رايدر
Example Output: Tiñas que ter unha imaxinación aínda mel... | Eu miraba á xoven Elvis comezar a mentalizarse do camiño cara a colina.
| 3 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.3619194030761719,
0.7468522191047668,
-0.40010491013526917,
-0.794387698173523,
-0.7845206260681152,
-0.31149423122406006,
1.1167339086532593,
0.45082128047943115,
-0.053025081753730774,
-0.41308486461639404,
-0.6544286012649536,
-0.09874548763036728,
-1.1306133270263672,
0.014649961143... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
[Q]: Question1: What is your review of Game of Thrones Season 3?, Question2: What is your review of Game of Thrones Season 5?
[A]: No
[Q]: Question1: What are the practical uses f... | Yes
| 5 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
0.5139700174331665,
0.011323312297463417,
0.04232076555490494,
0.20783254504203796,
0.04634673148393631,
-1.3805599212646484,
0.4399886429309845,
0.9761290550231934,
-0.23794378340244293,
0.4530274271965027,
0.033061329275369644,
0.193756103515625,
-0.5579196214675903,
-0.3734460175037384,... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of nouns/verbs in the given sentence.
Example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Output: 3
The words 'toy', 'tray', and 'man' are nouns in... | 2 | 1 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.029772842302918434,
0.4894656538963318,
-0.15308710932731628,
-0.24586619436740875,
0.3269766569137573,
0.08689345419406891,
-0.043276600539684296,
1.07008695602417,
-0.2499644160270691,
0.23400940001010895,
-0.5345618724822998,
-0.21662785112857819,
-0.09028109908103943,
0.0768197476863... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | When did Ibn al-Rumi's early biography write his works about Al-Rumi?
| 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.6982765793800354,
0.8131768703460693,
-0.09085039049386978,
-0.43998661637306213,
0.23427008092403412,
-0.26219654083251953,
1.1727735996246338,
0.36905884742736816,
0.2590388059616089,
0.4404293894767761,
-0.6986446380615234,
0.874092698097229,
-0.7564527988433838,
0.32412099838256836,
... |
Given the task definition and input, reply with output. In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Context: Coope... | Yes | 5 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.9260334372520447,
0.22749678790569305,
0.5076816082000732,
0.3023688793182373,
0.3002675771713257,
-0.2391001284122467,
-0.0019694010261446238,
0.5865764617919922,
-0.03882460296154022,
0.16598033905029297,
0.22894063591957092,
0.08209662139415741,
0.1141265481710434,
-0.516118288040161... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: Japanese: 落書きのように見えて、しばしば既に荒らされている壁にスプレーを振り掛ける、USAでのソニーのPSPの新しい広告キャンペーンが他の落書きアーティストか... | Output: No
| 2 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.7894449234008789,
0.23995572328567505,
-0.10395844280719757,
0.30814385414123535,
0.507096529006958,
-0.5453996658325195,
0.7329038381576538,
-0.16502822935581207,
-0.5970712304115295,
0.09385188668966293,
0.42674389481544495,
0.6183857321739197,
-0.4396936297416687,
0.8137561082839966,... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example Input: Sentence: 'a person walking on a street with a suit'. How many words end with the letter 't' in the sentence.
Example Output: 2
Example Input: Sentence: 'a kitchen with m... | 2
| 3 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.07070291042327881,
0.43369561433792114,
-0.5840883255004883,
-0.5230482816696167,
0.07763294875621796,
-0.0030708767008036375,
0.17442822456359863,
0.594241738319397,
-0.19944478571414948,
-0.14332689344882965,
-0.5429731011390686,
-0.3238387703895569,
-0.2047775387763977,
-0.12620083987... |
Detailed Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not con... | Unrelated | 8 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.22487744688987732,
0.5580408573150635,
-0.2555943727493286,
-0.2930462956428528,
-0.2702969014644623,
-0.1473582535982132,
0.23796236515045166,
0.4726415276527405,
0.3106626570224762,
-0.21699979901313782,
-0.6942141056060791,
0.048793066293001175,
-0.5293707251548767,
-0.14261642098426... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:אנחנו כבר מעלים זכרונות על הטכנולוגיות החדישות ביותר ועל האייפוד, ואני על העבייה, השמלה המסורתית שאני לובשת היום.
Solution: | ما آخرین فن آوریهای گذشته و آی پاد را بخاطر می آوریم ، ما آخرین فن آوریهای گذشته و آی پاد را بخاطر می آوریم ، و در مورد من ، عبا است ، لباس سنتی که من امروز بر تن دارم. | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.25281262397766113,
0.22945870459079742,
-0.5405700206756592,
0.12526634335517883,
-0.5105528831481934,
-0.27191558480262756,
0.9513223767280579,
0.24784091114997864,
0.06921940296888351,
-0.02387099899351597,
-1.6215651035308838,
0.7185978293418884,
-0.20921821892261505,
0.2680690586566... |
TASK DEFINITION: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used... | WRB
| 8 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.4763118624687195,
0.20013728737831116,
-0.4102860987186432,
0.2915423512458801,
0.2719276547431946,
-0.5191313028335571,
0.9902348518371582,
0.38400721549987793,
-0.46785768866539,
-0.3690962791442871,
-0.33614933490753174,
0.5417135953903198,
-0.6530329585075378,
0.04542427882552147,
... |
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 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.
Preheat oven to... | ground deer meat, onion soup, egg, Worcestershire sauce, rolled oats, parsley flakes, milk, catsup, beef broth, Worcestershire sauce, cornstarch, water | 0 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.30038195848464966,
0.6856160163879395,
-0.24898098409175873,
0.14729198813438416,
-0.2776852548122406,
0.5936180949211121,
0.38104796409606934,
0.8116481900215149,
-0.3404218554496765,
-0.2720600366592407,
0.34717845916748047,
-0.4156745374202728,
-0.23248612880706787,
-0.007758351042866... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : Okay..so I will write the extended version and include a TL... | no | 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.30574819445610046,
0.0846383273601532,
0.7086009979248047,
-0.18740728497505188,
0.07391960918903351,
-0.4750785827636719,
0.45853501558303833,
0.6246351599693298,
0.4233793020248413,
-0.17109400033950806,
0.2677876949310303,
0.28891751170158386,
-0.771507978439331,
-0.15779566764831543... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2:... | Half of his classmates missed school over the next week. | 6 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.055658310651779175,
0.6825296878814697,
-0.13291297852993011,
-0.357121080160141,
-0.21376022696495056,
0.18297015130519867,
0.9196158647537231,
0.4308987259864807,
0.3648102879524231,
-0.12060622870922089,
-0.8942994475364685,
0.23532387614250183,
-0.3166866600513458,
0.774513840675354... |
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'.
Ex Input:
Sentence 1: Robin is an actor. Sentence 2: He has been acting for years. Sentence 3: One ... | a
| 1 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.479844331741333,
0.03935329243540764,
-0.1968776285648346,
-0.18926334381103516,
-0.15490621328353882,
-0.24911972880363464,
0.038178447633981705,
1.0135505199432373,
0.16898125410079956,
-0.18735536932945251,
-0.8229358196258545,
0.4345408082008362,
-0.0481603741645813,
-0.2625061273574... |
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.
[Q]: భారతదేశాని కి మరియు యూక్రేన్ కు మధ్య వ్యవసాయం మరియు ఆహార పరిశ్రమ రంగాల లో సహకారం కోసం ఒప్పందం పై సంతకాల కు ఆమోదం తెలిపిన మంత్రివర్గం
[A]... | पंच निर्णायकों के पंचाट को स्वीकार एवं कार्यान्वित करना
| 5 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.5656771659851074,
0.5158373117446899,
0.15622498095035553,
-0.22229120135307312,
0.34693068265914917,
-0.27874308824539185,
0.8323929309844971,
0.4964532256126404,
-0.46237653493881226,
0.009060220792889595,
-0.6034923791885376,
0.08870409429073334,
-0.25129151344299316,
0.4627003073692... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ഇന്ന് ഒരു വിദൂരസ്ഥ ഗ്രാമത്തിലെ പാവപ്പെട്ട പൗരന് തന്റെ അവകാശങ്ങള് നേടുന്നതിനായി ദീര്ഘദൂരം യാത്ര ... | میں دہشت گرد تنظیموں کو اور ان کے سرپرستوں کو کہنا چاہتا ہوں کہ وہ بہت بڑی غلطی کرچکے ہیں، بہت بڑی قیمت چکانی پڑے گی۔ | 4 | NIv2 | task1059_pib_translation_malayalam_urdu | fs_opt | [
0.18255724012851715,
0.4670935273170471,
-0.46734553575515747,
-0.6154053211212158,
-0.2796335518360138,
-0.5953247547149658,
0.6491482257843018,
0.4560944437980652,
-0.7121087312698364,
-0.09721432626247406,
-0.8420237302780151,
0.00874555204063654,
-0.3904118537902832,
-0.414794802665710... |
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 will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numb... | [-10290, -836, 0, 9576, -3038, 187308, -11550, -156] | 0 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.5994038581848145,
0.015129896812140942,
-0.9003604650497437,
-0.004660533741116524,
0.5051790475845337,
-0.3952534794807434,
0.9635332226753235,
0.9996374249458313,
-0.45910030603408813,
0.10928650200366974,
-0.7696717381477356,
-0.40332138538360596,
-0.40284526348114014,
-0.048175357282... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Q: Em vez de ser só programadora, ela viu algo que o Babbage não viu.
A: | En lugar de ser simplemente una programadora, vio algo que Babbage no vio. | 4 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.5904066562652588,
0.9870424270629883,
-0.28447747230529785,
-0.37387973070144653,
-0.4753068685531616,
-0.15558181703090668,
0.6502265334129333,
0.9879500865936279,
0.40536853671073914,
0.008153358474373817,
0.03794283792376518,
-0.25578466057777405,
0.21008682250976562,
0.1240894570946... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(cont... | Output: 2
| 2 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.14249296486377716,
0.4954550564289093,
0.05331335961818695,
-0.16222938895225525,
-0.151283860206604,
-0.9096352458000183,
0.3731519281864166,
0.7024203538894653,
0.5191555619239807,
0.03866475075483322,
-0.6412746906280518,
-0.5243252515792847,
-0.2716829776763916,
-0.3557775020599365,... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: でも「フェリスはある朝突然に」ではありませんでしたマシュー・ブロデリックにも謝ります他の映画にも出演しているのに彼を見るとフェリスだと思ってしまうのです
Output: | او فریس بیولر نبود. و متیو برودریک ، ببخشید ، من می دانم تو فیلم های خیلی زیادی به غیر از فریس بیولر بازی کرده ای ، اما من تو را این طوری به یاد می آورم ؛ تو فریس هستی. | 3 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.1459394097328186,
0.6633226871490479,
-0.20286738872528076,
0.07301965355873108,
-0.768962562084198,
-0.12052621692419052,
0.859128475189209,
-0.5452066659927368,
0.14358627796173096,
-0.3514060974121094,
-0.5971195697784424,
-0.8340403437614441,
0.16549871861934662,
-0.16237716376781464... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return th... | kfkfk | 1 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.5531735420227051,
0.7770583629608154,
-0.3914617896080017,
-0.36764368414878845,
-0.4446159303188324,
-0.05039878189563751,
1.1703802347183228,
-0.010370926931500435,
0.24350608885288239,
0.1892872154712677,
-0.6398245096206665,
-0.026760149747133255,
-0.426011323928833,
0.2247834801673... |
Given the task definition and input, reply with output. 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 e... | We would become friends. | 5 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.3476037383079529,
0.34434235095977783,
0.11719517409801483,
-0.09549662470817566,
-0.16696879267692566,
-0.2849200963973999,
0.5673816204071045,
0.12501370906829834,
0.5264153480529785,
0.3197677731513977,
-0.5254107713699341,
-0.2015630304813385,
-0.13805826008319855,
-0.31487411260604... |
Detailed Instructions: Given a text, write a compressed version of it in a single sentence.
Q: Since this linguistic-statistical study of an obsession might well prove to be an important contribution to psycholinguistics, I decided to make a larger sample of watery words, choosing the straightforward journals of Colone... | Since this study of an obsession might be an important contribution to psycholinguistics, I decided to make a larger sample of watery words. I chose the journals of Colonel Warburton, who led an expedition across the interior of Australia. | 9 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-0.4807644188404083,
-0.36154836416244507,
-0.490884006023407,
-0.8413527607917786,
0.28828656673431396,
-1.0450791120529175,
0.5198176503181458,
-0.09507425874471664,
-0.07887205481529236,
-0.569089412689209,
-0.4128201901912689,
-0.07580454647541046,
-0.7256494760513306,
-0.3041931986808... |
Given the task definition and input, reply with output. The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally writt... | Vi har egna gravar i vår familj. | 5 | NIv2 | task1648_opus_books_en-sv_translation | zs_opt | [
-0.7177460193634033,
1.157353401184082,
0.17525552213191986,
-0.33249950408935547,
0.17230555415153503,
-0.9742196798324585,
1.1873228549957275,
-0.4405156373977661,
0.2771283686161041,
-0.43828263878822327,
0.4242194890975952,
1.1403279304504395,
-0.923730731010437,
0.06264910101890564,
... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Example Input: PersonX folds PersonY's arms across Perso... | positively.
| 3 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
0.011368852108716965,
0.6951812505722046,
0.08653593063354492,
-0.6776537895202637,
-0.20035649836063385,
-0.6505717635154724,
1.545650601387024,
0.7189174294471741,
0.46798932552337646,
-0.608843207359314,
-0.03758201375603676,
0.16955271363258362,
-0.7978782653808594,
0.3557540774345398,... |
Definition: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "w... | What is the woman's advice to the man? (A) To find a better science journal in the library. (B) Not to subscribe to the journal. (C) To buy the latest issue of the magazine. | 2 | NIv2 | task246_dream_question_generation | zs_opt | [
0.13367345929145813,
0.4032098054885864,
-0.037973836064338684,
-0.8163591623306274,
-0.07112190872430801,
0.11770567297935486,
0.9991405010223389,
-0.39856386184692383,
0.6307268142700195,
-0.4143233895301819,
-0.6289452910423279,
0.22012744843959808,
0.30878233909606934,
-0.0003582639619... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given 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 s... | 1a, 5c | 0 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.2807995080947876,
-0.1184532567858696,
-0.30938833951950073,
0.846399188041687,
0.21769225597381592,
0.001933705061674118,
0.35874730348587036,
0.8759384155273438,
-0.3880578279495239,
0.6741041541099548,
-0.46674174070358276,
-0.05706033110618591,
0.22453805804252625,
-0.321125209331512... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Ex Input:
উত্তর-পূর্বাঞ্চলীয় উন্নয়ন মন্ত্রকের স্বাধীন দায়িত্বপ্রাপ্ত ও প্রধানমন্ত্রীর দপ্তর, কর্মী, জন-অভিযোগ এবং পেনশন, আনবিক শক্তি ও মহাকশ দপ্তরের দায... | نیشنل نالج نیٹ ورک (این کے این) اور بھوٹان کے ڈرک ریسرچ اینڈ ایجوکیشن نیٹ ورک (ڈرک رین ) کے درمیان مساویانہ بندوبست کے لئے مفاہمت نامہ ۔
| 1 | NIv2 | task1069_pib_translation_bengali_urdu | fs_opt | [
-0.8125927448272705,
0.7737535238265991,
-0.6879162788391113,
-0.5390462875366211,
-0.9167342782020569,
-0.14636167883872986,
0.20827509462833405,
0.4560997486114502,
-0.05099997669458389,
-0.4184125065803528,
-0.06983552873134613,
0.5681935548782349,
-0.3107723593711853,
1.099349856376648... |
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ... | Àwọn ibi tí Boca na ìyẹ́ dé bèrè lórí ìfìyàjẹ tàbí ìjìyà àwọn tí wọ́n wà ní àárín ojú pópó títí kan àwọn ìròyìn rere mìíràn.
| 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
0.35204821825027466,
0.3535717725753784,
-0.3182751536369324,
0.5018337368965149,
0.4599669873714447,
-0.49741414189338684,
0.5008476376533508,
0.9857274293899536,
-0.03680352121591568,
-0.48303455114364624,
-0.4898030459880829,
0.6480870246887207,
-0.6509500741958618,
0.1062949076294899,
... |
You will be given a definition of a task first, then some input of the task.
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.
18, ['1305', '925', 'V', '1751', '4643', 'b', 'H', 't', 'f', '5979', 'V', 'v', 'I', 'j', ... | 1305, 7959, 641 | 1 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.24517588317394257,
0.08127833902835846,
-0.5912808179855347,
-0.8741381168365479,
-0.2356366366147995,
-0.42339110374450684,
0.21222533285617828,
0.025765985250473022,
0.20708179473876953,
-0.36847832798957825,
-0.9831444621086121,
-0.6682053804397583,
0.0761101096868515,
0.0082382280379... |
Definition: Generate a correct and concise answer for the question based on the words in the context.
Input: Context : The Champ Clark Bridge is a five-span truss bridge over the Mississippi River connecting Louisiana, Missouri with the state of Illinois.
Question : Over what river does Champ Clark Bridge cross?
Outpu... | Mississippi River | 2 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-1.0335297584533691,
0.49340182542800903,
-0.37490102648735046,
0.29503756761550903,
0.29686489701271057,
-0.20892375707626343,
-0.6970436573028564,
0.40561699867248535,
0.4893476068973541,
-0.03362806513905525,
-0.07032197713851929,
-0.8307037353515625,
-0.08921544253826141,
0.20589581131... |
Q: 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'.
(A) not hanging out with my friend on her actual birthday
(B) hanging up on my mom after not talkin... | B | 7 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
0.36022597551345825,
0.22333183884620667,
0.4331017732620239,
-0.4280069172382355,
-0.9590616226196289,
-1.1650018692016602,
-0.25485777854919434,
0.44731372594833374,
0.11425348371267319,
0.7717393040657043,
0.14562949538230896,
-0.30688631534576416,
0.15787169337272644,
-0.63750851154327... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Example Input: الغوغاء تقدم مختلف أعطال الإحصاء لعالم المشاعر في الساعات القليلة الفائتة.
Example Output: Mobsはここ数時間内の世界の感情に対して先ほどとは異なる統計分析結果を提供します
Example Input: يتمثل الشئ الآخر الذي تقوم به الحيتان في أنها ،...... عند غ... | 私達はまたメイン展示ホールから － 自然科学館まで変化の連続性を出そうとしたので － ひと塊の連続した変化となり － しかしその塊の中は異なった空間と形状になっています
| 3 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.3646153211593628,
-0.5606106519699097,
-0.6585636734962463,
-0.001532522845081985,
-0.4386119246482849,
-0.3133174180984497,
0.25690966844558716,
-0.2547566294670105,
0.14535897970199585,
-0.1625358909368515,
-0.872051477432251,
-0.0348394438624382,
-0.30380699038505554,
0.0406648889183... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: hi, so ... | TIFU by spending almost €4K on our holiday. | 1 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.2829410433769226,
0.7891937494277954,
-0.0618838407099247,
-0.4657672941684723,
0.29524892568588257,
0.03030982054769993,
0.5881842374801636,
-0.0008293770952150226,
0.21068505942821503,
-0.09872069954872131,
0.2397998869419098,
0.4950386881828308,
-0.6607027649879456,
0.210331201553344... |
In this task, you are to Translate German text to English
An Stelle des festen Keiles (1) kann auch ein luft - und flüssigkeitsdichter Sack mit Luft oder Flüssigkeit aufgepumpt werden, so dass die Polsterung (3) jeweils dem Kopf (4) anliegt. | Instead of the solid wedge (1), an air-tight and liquid-tight bag can also be pumped with air or liquid so that the padding (3) lies on the head (4). | 0 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.540908932685852,
1.4742794036865234,
-0.09828846156597137,
-0.7143234014511108,
0.041281286627054214,
-0.46487995982170105,
1.0156636238098145,
0.9171923398971558,
-0.611684262752533,
-0.12967440485954285,
0.48583024740219116,
-0.20963573455810547,
-0.8895770907402039,
-0.09029981493949... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
One example: Who were the builders of the mosque in Herat with fire temples ?
Solution is here: Ghurids
Explanation: This is a good example. Ghurids were the buil... | Burmese | 6 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.7701774835586548,
0.9529003500938416,
0.027866678312420845,
-0.7852939367294312,
-0.5029795169830322,
-0.7101038694381714,
0.8041570782661438,
-0.11212466657161713,
0.044404324144124985,
-0.29181963205337524,
-0.19586417078971863,
0.34624534845352173,
-0.8512949347496033,
0.005751143209... |
You will be given a definition of a task first, then some input of the task.
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... | 21 | 1 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6460147500038147,
0.11865900456905365,
0.15360406041145325,
-0.10111641138792038,
0.4735274314880371,
0.40293407440185547,
0.4084322452545166,
0.25064387917518616,
-0.0984390377998352,
-0.33213940262794495,
-0.4526282250881195,
-0.7135111093521118,
-1.0268831253051758,
0.151203587651252... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | Yes | 1 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.14485327899456024,
0.4119361340999603,
0.34818071126937866,
-0.1546403467655182,
-0.2588231861591339,
-0.5617972016334534,
1.2456008195877075,
0.5304838418960571,
-0.7860339879989624,
-0.40024447441101074,
-0.4222555160522461,
-0.8283857703208923,
-0.47504937648773193,
0.0730391219258308... |
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 category.
Mo... | Neither | 0 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.476834237575531,
0.35934576392173767,
0.5188251733779907,
0.6475379467010498,
-0.23695364594459534,
-0.9367316365242004,
-0.5239838361740112,
0.939995288848877,
0.4632553458213806,
0.20458267629146576,
-0.20481614768505096,
-0.7249733209609985,
-0.4418930411338806,
-0.8812026381492615,
... |
TASK DEFINITION: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the ... | green_drawer
| 8 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.21786785125732422,
-0.3034842908382416,
-0.40351152420043945,
-0.10697610676288605,
-0.02977507933974266,
0.026962336152791977,
0.374700665473938,
0.6740602850914001,
0.1221524178981781,
-0.12063848972320557,
-0.08218611776828766,
0.3845250904560089,
-0.011744849383831024,
0.397210657596... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
See one example below:
Problem: أمي - سأعود بالحال -
Solution: Mommy will be right back.
Explanation: This is a good example. The above sentence is correctly translated from Arabic to English.
Proble... | - Where you off to? | 4 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
-0.3035375475883484,
0.00431735347956419,
-0.33809521794319153,
-0.671831488609314,
-0.42532163858413696,
-0.24472664296627045,
0.8458630442619324,
0.7280186414718628,
0.26229843497276306,
0.09611707925796509,
-0.7000323534011841,
0.8364272117614746,
-0.4318947196006775,
0.0193495843559503... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Teacher: N... | 1, 2, 5, 6, 7, 8, 9, 10, 12, 15, 16, 19, 21, 22, 24, 27, 28, 30, 31, 35 | 6 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
0.0010689736809581518,
-0.5422582030296326,
-0.3014131784439087,
-0.776058554649353,
0.03790495917201042,
-0.7725739479064941,
0.3358449935913086,
0.2805057764053345,
-0.8537719249725342,
0.14232593774795532,
0.11573393642902374,
-0.40533381700515747,
0.033513862639665604,
0.03024006634950... |
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence i... | mixed | 6 | NIv2 | task526_parsinlu_movie_overal_classification | fs_opt | [
-0.5327286720275879,
-0.1349988579750061,
-0.19138842821121216,
0.14286565780639648,
-0.17251728475093842,
0.27825260162353516,
0.8898158669471741,
0.30919528007507324,
0.6501575708389282,
0.07260274887084961,
-0.458992063999176,
0.11647561192512512,
-0.2509898841381073,
0.3287897109985351... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 9 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.643476665019989,
0.29192012548446655,
0.5244293212890625,
0.0069928341545164585,
-0.3281491994857788,
-1.1872965097427368,
0.8139228224754333,
0.7256959080696106,
-0.3374022841453552,
-0.38551008701324463,
-0.8246484994888306,
-0.5568228960037231,
-0.8016286492347717,
-0.0937555804848671... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: 展覧会の最中に非常にはっきりと感じたのは人はイメージに頼って物事を理解するということです
A: | واحدة من الاشياء التي حدثت بشكل واضح جداً في سياق هذا المعرض أني واجهت فكرة كيف يمكن أن تكون الصور قوية و فهم الناس لأنفسهم و لبعضهم بعضاً. | 4 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.6564998626708984,
-0.5822770595550537,
-0.040047600865364075,
-0.8349608182907104,
-0.22471553087234497,
-0.7848271727561951,
0.4289082884788513,
-0.20405131578445435,
0.5554159879684448,
0.13849730789661407,
0.20849794149398804,
0.5679616332054138,
-0.17423102259635925,
1.12503576278686... |
Definition: 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'.
Input: Dialogue 1: 'but the weather is also weird how its too windy where are you from y... | yes | 2 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.897331714630127,
0.2623125910758972,
0.25368422269821167,
-0.7362223863601685,
0.062016427516937256,
0.10645865648984909,
0.9729809165000916,
-0.20285186171531677,
-0.027326535433530807,
-0.5056530237197876,
-0.09774011373519897,
-0.7935042381286621,
-0.05593682825565338,
0.203563153743... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Output: Ты осторожен с отсутствием газет на вокзале.
| 2 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.17101681232452393,
0.4188247621059418,
0.30792325735092163,
0.05196842923760414,
0.07174165546894073,
-0.230861097574234,
0.13717614114284515,
1.4489037990570068,
-0.20832842588424683,
0.21282958984375,
-1.0366835594177246,
-0.37674766778945923,
-0.403919517993927,
0.47026678919792175,
... |
Q: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: ... | Identifiable | 7 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.1075146198272705,
0.6044344305992126,
-0.1515350043773651,
-0.047113556414842606,
0.4006897807121277,
-0.2562256455421448,
-0.5550270080566406,
0.8814291954040527,
0.3618955612182617,
0.31956154108047485,
-1.0590758323669434,
-0.12993863224983215,
-0.34198275208473206,
-0.63422012329101... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Q: No puedes pescar ahí por un radio de 200 millas.
A: | 半径約320キロは釣りが禁止です | 9 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.5674980282783508,
0.3075207471847534,
-0.6347308158874512,
-0.5872951745986938,
-0.3168265223503113,
-0.2940821051597595,
-0.29174935817718506,
0.38351404666900635,
-0.5044335126876831,
-0.467838317155838,
0.21665677428245544,
0.6006827354431152,
-0.5559128522872925,
-0.1981552243232727... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option D
| 0 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.47998350858688354,
0.9259101748466492,
-0.5893242359161377,
-0.35389548540115356,
-0.18312908709049225,
0.844093382358551,
-0.18605926632881165,
0.4580693244934082,
0.05502580106258392,
-0.3767819404602051,
-0.7141634225845337,
0.383964866399765,
0.02259337715804577,
-0.31118565797805786... |
Instructions: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: English: He also claims that Young "urged" staff members to par... | No | 3 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.5759072303771973,
0.16221719980239868,
0.49837005138397217,
0.15574611723423004,
-0.06801880151033401,
-0.6500232219696045,
0.652092695236206,
0.03103766404092312,
-0.018566764891147614,
-0.45376819372177124,
1.0356204509735107,
0.06787294894456863,
-0.5088111162185669,
0.11009694635868... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ਹੁਣ ਤੱਕ ਪਾਕਿਸਤਾਨ ਦੀ ਤਕਨੀਕੀ ਟੀਮ ਨਾਲ 3 ਤਕਨੀਕੀ ਪੱਧਰ ਦੀਆਂ ਵਾਰਤਾਵਾਂ ਹੋਈਆਂ ਹਨ ਜਿਨ੍ਹਾਂ ਵਿੱਚ ਇਸ ਪ੍ਰੋਜੈਕਟ ਨਾਲ ਸਬੰਧਤ ਮੁੱਦਿਆਂ ਜਿਵੇਂ ਕਿ ਜ਼ੀਰੋ ਪੁਆਇੰਟ ਤਾਲਮੇਲ, ਤਿਆਰ ਸੜਕ... | اب تک اس پروجیکٹ سے متعلق معاملات مثلاً زیرو پوائنٹ کوآرڈی نیٹس، فنشڈ روڈ لیبل زیرو پوائنٹ پر پل کی چوڑائی وغیرہ پر بات چیت کے لیے پاکستانی ٹیم کے ساتھ تکنیکی سطح کے تین مذاکرات کا انعقاد کیا جاچکا ہے۔پاکستانی حکام کو بتایا گیا ہے کہ ہندوستان بین الاقوامی سرحد پر ہندوستان کی جانب راوی خلیج پر ایک پل تعمیر کر رہا ہے اور... | 4 | NIv2 | task1051_pib_translation_punjabi_urdu | zs_opt | [
-0.30631059408187866,
1.1001131534576416,
0.5728234648704529,
-0.0927419513463974,
-0.0820973813533783,
0.3972887098789215,
1.1363401412963867,
-0.10265717655420303,
-0.6610671877861023,
-0.08388606458902359,
-0.45935338735580444,
0.2540612518787384,
0.27804237604141235,
0.3930367529392242... |
instruction:
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
question:
Context: Regard... | who is the super fan?
| 9 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
0.18979467451572418,
-0.17595456540584564,
-1.118477463722229,
0.11003107577562332,
0.49643680453300476,
-0.5804446935653687,
0.3073680102825165,
-0.16987988352775574,
0.11865875124931335,
-0.07152071595191956,
-0.343258798122406,
-0.40783193707466125,
-0.694119930267334,
-0.15048301219940... |
Q: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the p... | b | 7 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.47186392545700073,
0.7212470173835754,
-0.7911810874938965,
0.07645116001367569,
0.38939663767814636,
0.6893900632858276,
0.8358149528503418,
0.7422150373458862,
0.3049522638320923,
0.3711835741996765,
-0.668947696685791,
0.4943755269050598,
-0.9321256875991821,
0.43673497438430786,
0.... |
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