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 a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | 3 | 3 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.5003098249435425,
0.7362189292907715,
-0.22602742910385132,
-0.5309210419654846,
0.08505915105342865,
-0.4525960683822632,
0.770278811454773,
0.7533091306686401,
-0.1154121458530426,
-0.3713113069534302,
-0.7119040489196777,
0.4201996326446533,
-0.3651345372200012,
-0.012223262339830399... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
See one example below:
Problem: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi c... | In questo viaggio, abbiamo affrontato la pericolosità dei crepacci, il freddo estremo, così freddo che il sudore diventa ghiaccio sotto i vestiti, I denti possono spaccarsi, l'acqua può congelare nei tuoi occhi. | 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.05931657925248146,
0.9234263300895691,
0.14720556139945984,
-0.10435093939304352,
-0.26355406641960144,
-0.5508657097816467,
0.07136040925979614,
0.7797561287879944,
-0.06875337660312653,
-0.10380295664072037,
-0.06203654408454895,
0.4058595895767212,
-0.8948572874069214,
0.082041904330... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX was very concerned about the environment PersonY wasn't that interested. _ planted a lot of trees on their land.
Sentence 2: PersonX was very concerned about the environment PersonY wasn't that interested. _ cut a lot of trees on their land.
****
| 4 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.21504656970500946,
0.380545437335968,
-0.039461057633161545,
-0.4226680397987366,
0.33877113461494446,
-0.5471746921539307,
0.7566524147987366,
0.766459584236145,
-0.10819006711244583,
-0.5389281511306763,
-0.6396867036819458,
-0.368450403213501,
-0.4057875871658325,
0.06786562502384186,... |
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 list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
5, 9, ['g', 'M', '4701', 'T', '5051'... | 5051, P, 8773, 9505, 7503 | 0 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.3070948123931885,
0.0744762271642685,
-0.5296379923820496,
-0.19643178582191467,
0.05765664577484131,
-0.772338330745697,
0.39420363306999207,
-0.4899143874645233,
-0.47572439908981323,
0.3960186243057251,
-1.0604223012924194,
-0.5350309610366821,
-0.4030446410179138,
0.0223747938871383... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:ഇക്കഴിഞ്ഞ ഡിസംബര് 25 ന് ലോകമെങ്ങും ക്രിസ്തുമസ് വളരെ ഉത്സാഹത്തോടെ ആഘോഷിക്കപ്പെട്ടു.
Solution: | কিছুদিন আগেই সারা পৃথিবী জুড়ে ধুমধাম করে পালিত হল ক্রিসমাসের উৎসব। | 8 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.7125006914138794,
0.7354781627655029,
0.21511699259281158,
0.25724026560783386,
-0.15674087405204773,
-0.9885629415512085,
0.4746684432029724,
0.3928338289260864,
-0.12359408289194107,
-0.19627705216407776,
-0.45479482412338257,
-0.05633656680583954,
-0.6585373878479004,
0.38361868262290... |
You will be given a definition of a task first, then some input of the task.
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 ... | True | 1 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
0.22874876856803894,
-0.07176577299833298,
0.1550436019897461,
0.1102205291390419,
0.5634238719940186,
-0.2903105318546295,
0.8967728018760681,
0.7089800238609314,
-0.42537641525268555,
0.4135195016860962,
-0.6364063024520874,
-0.09274393320083618,
-0.4418719708919525,
0.17102307081222534,... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2)... | "Se riippuu siitä, mitä te pidätte kertomisen arvoisena." | 6 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
0.087335005402565,
0.7318789958953857,
-0.17581483721733093,
-0.32405325770378113,
-0.06538606435060501,
-1.1069461107254028,
1.1509857177734375,
0.2732953429222107,
-0.23438113927841187,
-0.48889803886413574,
-0.019125841557979584,
1.518927812576294,
-1.227240800857544,
0.6685592532157898... |
Definition: Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the ... | Completion B | 2 | NIv2 | task139_detoxifying-lms_classification_topicality | zs_opt | [
-0.2939579486846924,
0.025889206677675247,
0.24302586913108826,
-0.0022437474690377712,
-0.04735717922449112,
-0.5795798897743225,
0.786862313747406,
-0.11998774111270905,
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-0.06499041616916656,
-0.7162557244300842,
0.264548659324646,
-0.28678005933761597,
0.06336560845... |
Q: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
रोहतक , हिसार , जीन्द , नाभा और पंजाब का पटियाला जिला इस न... | Hindi | 7 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.2387182116508484,
0.21144789457321167,
1.0459274053573608,
0.4514123797416687,
-0.03392861410975456,
-0.4476403594017029,
-0.3269432485103607,
0.3337135314941406,
0.1437569111585617,
-0.5669082403182983,
-0.7515072226524353,
0.0706176906824112,
-0.13607288897037506,
0.050387680530548096... |
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Example: How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of the draft today in US ?
Wh... | Solution: 13 gallon can equals how many liters ? | 5 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.37257516384124756,
0.22630912065505981,
-0.013901913538575172,
-0.11826726794242859,
-0.5194495916366577,
-0.23533013463020325,
0.4583754539489746,
-0.6928752660751343,
-0.4442698359489441,
-0.37570422887802124,
-0.24867749214172363,
0.09481082856655121,
-0.050415217876434326,
-0.0945109... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Example solution: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować pon... | Solution: Stosujemy tzw. dostosowanie ciała. | 5 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3057582974433899,
0.9398015737533569,
0.4155201017856598,
-0.08863330632448196,
-0.5480337142944336,
0.2590540945529938,
1.3864221572875977,
-0.05415422469377518,
0.189410999417305,
-0.6360347270965576,
-1.103945255279541,
1.1266433000564575,
-0.6697938442230225,
0.5238620638847351,
0... |
Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Input: I would donate for an asylum for all these weird kids missing a gene.
Output: | hate | 3 | NIv2 | task1604_ethos_text_classification | zs_opt | [
0.012399585917592049,
0.42704933881759644,
0.64704430103302,
0.19821369647979736,
-0.7335993647575378,
-0.8776355981826782,
0.0022154515609145164,
0.9715319871902466,
0.20005367696285248,
0.13868574798107147,
-0.14788801968097687,
0.09590835869312286,
-0.38085663318634033,
-0.5171186327934... |
Detailed Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a... | 20,000 Scouts a year visit _ for backpacking treks, training and other programs. | 8 | NIv2 | task301_record_question_generation | zs_opt | [
0.3894365727901459,
-0.34571555256843567,
-0.704858660697937,
-0.3443577289581299,
-0.7457265853881836,
-1.0823066234588623,
0.10162117332220078,
1.0285639762878418,
-0.13334712386131287,
-0.16557630896568298,
0.655859649181366,
-0.2656993567943573,
-1.0942339897155762,
-0.1694025695323944... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
One example is below.
Q: Aquí esta la medusa ala-x de la muerte.
A: Qui c'è la medusa mortale con le ali ad X.
Rationale: The Spanish sentence is correctly translated into Italian, because the meaning is preserved.
Q: Se co... | Loro diventano dei leader all'intero delle loro comunità. | 9 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.01867252215743065,
0.7357978820800781,
-0.42625749111175537,
-0.28459563851356506,
-0.9095818996429443,
-1.0648759603500366,
0.2587021589279175,
0.9154218435287476,
0.036056630313396454,
-0.4493694305419922,
-0.2822861969470978,
0.28265851736068726,
-0.29191359877586365,
0.8436816930770... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: インスピレーションが失われたのだと
Output: | جعلتنا نتوقف عن إمكانية أن نصبح ملهَمين. | 3 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.5810803174972534,
-0.33651724457740784,
0.109354168176651,
-0.6370304822921753,
-0.14285340905189514,
-0.45071107149124146,
0.5912265777587891,
-0.338206946849823,
0.20038700103759766,
-0.420112669467926,
-0.44105252623558044,
-0.8456612825393677,
-0.45251625776290894,
0.262829244136810... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Problem:لا أنه أنه نباتي ليزا
Solution: | (mouth full) no, it's-- It's vegetarian, lisa. | 8 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.13003899157047272,
0.5087026953697205,
0.5733555555343628,
-0.37955594062805176,
-0.021570464596152306,
-0.3386250138282776,
1.099124789237976,
-0.07527706027030945,
0.17454013228416443,
-0.2427738755941391,
-0.5432378053665161,
0.24323627352714539,
-0.7840349674224854,
0.40438479185104... |
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.
Example Input: ৩.৬৬ লক্ষ কফি চাষি ৪.৫৪ লক্ষ হেক্টর জমিতে এই চাষ করেন।
Example Output: 66 کافی کاشت کاروں کے ذریعہ تقریباً4.
Example Input: প্রধানমন্ত্রী ফ... | نئی دہلی،26اپریل،نائب صدر جمہوریہ ہند جناب ایم وینکیانائیڈو نے آج ممبئی میں نیشنل میوزیم آف انڈین سینما کا دورہ کیا اور کہا کہ اس میوزیم کی نمائش یہاں آنے والوں کو اپنی پسندیدہ فلموں، اداکاروں اور موسیقی کی یادوں کی وادیوں میں لے جائے گی۔
| 3 | NIv2 | task1069_pib_translation_bengali_urdu | fs_opt | [
-0.888350784778595,
0.4225994944572449,
-0.2684743404388428,
0.1722579151391983,
-0.47427988052368164,
-0.1399720013141632,
0.4025891423225403,
0.8772664070129395,
-0.24452897906303406,
-0.14825230836868286,
-0.9221242070198059,
0.4204614460468292,
-0.27384909987449646,
-0.0444633588194847... |
instruction:
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
quest... | Sad
| 9 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.2444164752960205,
0.04475010558962822,
0.3405652642250061,
0.061411552131175995,
-0.10059816390275955,
-0.9046580195426941,
0.9567553997039795,
0.19668516516685486,
0.4462513029575348,
0.6054765582084656,
-0.17069125175476074,
-0.14813894033432007,
-0.2546647787094116,
0.429576754570007... |
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.
[EX Q]: He said building by residents between wooded areas was a "crime" that had resulted in blocking escape routes. Mr Kammenos was confronted by a... | Is Westminster culture really changing?
| 6 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.5866761207580566,
0.44725239276885986,
-0.5029328465461731,
-0.6741188168525696,
0.607278048992157,
-1.018395185470581,
0.8471126556396484,
1.074018955230713,
-0.46649307012557983,
0.6951271295547485,
0.027938254177570343,
0.6041631102561951,
-0.8439760208129883,
0.16075173020362854,
-... |
TASK DEFINITION: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
PROBLEM: Paragraph: The closer objects are to each other, the stronger the gravitational force between them.
Question: When a star is moving a... | decreases
| 8 | NIv2 | task1731_quartz_question_answering | fs_opt | [
0.5193665027618408,
0.741474449634552,
-0.45553016662597656,
-0.29573774337768555,
-0.2997380793094635,
-0.7457575798034668,
0.6597354412078857,
0.26764392852783203,
-0.09110550582408905,
-0.3377358913421631,
-0.5252907276153564,
0.2736368775367737,
-1.0781819820404053,
0.24921956658363342... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
One example: 5 + 3
Solution is here: 2
Explanation: Here, '+' represents subtra... | 6811 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.23978924751281738,
-0.04626907408237457,
-0.8616024851799011,
0.30030563473701477,
0.06496471166610718,
-0.26177501678466797,
0.7761025428771973,
1.3244247436523438,
0.43726247549057007,
-0.3444030284881592,
-0.5742287635803223,
-0.5064469575881958,
-0.4849214553833008,
0.25310599803924... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example: Person1: Are you ready to order , sir ?
Person2: Yes , I... | Solution: 0 | 5 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.07678528130054474,
-0.24605223536491394,
0.15522339940071106,
0.047255340963602066,
0.07991676032543182,
0.18493354320526123,
1.0052502155303955,
0.6663486361503601,
-0.27888673543930054,
-0.09039554744958878,
0.33178529143333435,
-0.516552209854126,
-0.5085365176200867,
0.13533577322959... |
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 "woman" and "m... | What is the accident? (A) A boy fell into the river. (B) A boy's bike is broken. (C) A boy was hit by a car. | 4 | NIv2 | task246_dream_question_generation | zs_opt | [
0.11405812948942184,
0.9083553552627563,
-0.3430922031402588,
-1.127363920211792,
0.4059032201766968,
-0.07670857012271881,
0.7574976682662964,
0.04643211141228676,
0.2913903594017029,
-0.46087923645973206,
-0.4962233304977417,
-0.08830665051937103,
0.26893559098243713,
-0.2532443404197693... |
Part 1. Definition
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.
Part 2. Example
Who were the builders of the mosque in Herat with fire temples ?
Answer: Ghurids
Explanation: This is a good example. Ghurids w... | Dennis Franz | 7 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.2608851492404938,
0.7744715213775635,
0.06070913374423981,
-0.36600345373153687,
-0.5492961406707764,
-0.0946379154920578,
0.6649337410926819,
-0.12304270267486572,
0.09500133991241455,
-0.30926012992858887,
-0.7194643020629883,
0.10421357303857803,
-1.0174648761749268,
-0.4703375697135... |
Teacher: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Article: There are a lot of public libraries in Britain. These libraries have more th... | How does the author feel about his childhood? | 2 | NIv2 | task311_race_question_generation | fs_opt | [
0.10924060642719269,
0.4093196988105774,
-0.2904614508152008,
-0.46439266204833984,
0.7008463144302368,
-0.21339967846870422,
0.7862848043441772,
0.38304203748703003,
0.5164408683776855,
-0.5451195240020752,
-0.4526313543319702,
0.6567332148551941,
-1.8125145435333252,
0.14780378341674805,... |
Instructions: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The inpu... | DISSIMILAR | 3 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.18593692779541016,
0.6647299528121948,
0.07302238047122955,
-0.8558449745178223,
0.2024192214012146,
0.13395850360393524,
1.1224112510681152,
0.6087737083435059,
0.8065096139907837,
0.22835008800029755,
-0.05342256277799606,
-0.47054997086524963,
-0.838342547416687,
0.316206157207489,
... |
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, Per... | No | 1 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.14725995063781738,
0.009601171128451824,
0.7277249693870544,
-0.19423100352287292,
-0.0782313197851181,
-0.9794354438781738,
1.0603647232055664,
0.6890240907669067,
-1.0496097803115845,
-0.5566772222518921,
-0.3718567490577698,
-0.5371691584587097,
-0.4624136686325073,
0.1465381234884262... |
Teacher: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Teacher: Now, understand the problem? If you are still confused, see the following example:
you have enco... | Hope Speech | 2 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.058728642761707306,
-0.21792389452457428,
0.16718457639217377,
0.03855089470744133,
-0.4534722864627838,
-1.1352005004882812,
-0.05738740414381027,
0.8249239921569824,
0.3229268789291382,
0.2516498565673828,
0.023426823318004608,
-0.14519570767879486,
-0.24342423677444458,
-0.0670102462... |
TASK DEFINITION: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the t... | nigger
| 8 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.13036221265792847,
0.8593977093696594,
0.2671660780906677,
0.35067009925842285,
-0.3131284713745117,
-0.15249842405319214,
0.46285706758499146,
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0.3930434584617615,
-0.6610392928123474,
-0.32904866337776184,
-0.11619554460048676,
-0.573293685913085... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | uIuYdfijjmqrzyvpwGb, AIFdfijjmqrzHeBFXlfoe | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.7592499256134033,
0.4567300081253052,
-0.27313232421875,
-0.08937285095453262,
0.3954518437385559,
-0.4700150787830353,
0.5443001389503479,
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0.29129910469055176,
-0.7012777924537659,
-0.4766886532306671,
-0.3528616428375244,
0.23223668336868286,
... |
Teacher: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains informatio... | 1 | 2 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.6868896484375,
0.49838927388191223,
0.04050535708665848,
0.18836179375648499,
0.2687114477157593,
-0.19114723801612854,
-0.3522951304912567,
0.7536389827728271,
-0.038438864052295685,
-0.12607884407043457,
-0.2323053926229477,
0.40644723176956177,
-0.33495551347732544,
-0.45063465833663... |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Q: who has played edward quartermaine on general hospital?
A: | David Lewis | 9 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.11707353591918945,
1.3736985921859741,
-0.22455960512161255,
-1.740620732307434,
-0.005648519843816757,
-0.3607511520385742,
0.9568153619766235,
-0.30695897340774536,
-0.10336103290319443,
-0.39052197337150574,
0.6464344263076782,
0.11791390180587769,
-0.8383705019950867,
-0.42735317349... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Q: [6.117, 4.736, 237.315, 141.33, 160.713]
A: | 110.042 | 4 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.564685583114624,
0.7870535254478455,
-0.6659470796585083,
-1.7004132270812988,
-0.18775327503681183,
0.45117640495300293,
0.6565128564834595,
-0.18301522731781006,
-0.18749487400054932,
0.17109140753746033,
-0.6748757362365723,
1.188088297843933,
-0.7670738697052002,
0.21663260459899902... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
拘束されている被疑者の兄弟であるOmarMerhiは声明で、「私の兄弟も逮捕された他の人たちも混乱しており、宗教活動をしただけで、なぜ自分達がオーストラリアで最高レベルの警備の部署にいるのか知りたがっている」と語った。 | Si Omar Mehri, ang kapatid na lalaki ng isa sa naatraso ay nagsabi sa isang pahayag "Ang aking kapatid na lalaki at ibang mga naarestong lalaki ay lito at nais malaman kung bakit sila ay nasa pinakamataas na yunit ng seguridad ng Australia para lamang sa paggamit ng kanilang relihiyon." | 0 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.2284407913684845,
0.14196458458900452,
-0.5298004746437073,
-0.5673720836639404,
-0.4163142740726471,
-0.5418227910995483,
0.5637209415435791,
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-0.05128295719623566,
-1.0839579105377197,
0.32774949073791504,
-1.138291358947754,
0.25403112173080444... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The father had to provide for them, but his job didn't give him the time or money. The _ mattered less to him.
| 0 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.8073498010635376,
0.38011687994003296,
-0.12944702804088593,
-0.0941288098692894,
0.6210603713989258,
-0.7146729230880737,
1.0395416021347046,
1.0966557264328003,
-0.6738394498825073,
-0.09014721214771271,
-0.45575904846191406,
0.1535101979970932,
-0.5256521701812744,
0.07675975561141968... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Let me give you an example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్ట... | Well, thank you very much. | 8 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.36882317066192627,
1.159332275390625,
0.4263991713523865,
-0.07333450019359589,
0.024673879146575928,
-1.1632986068725586,
-0.3166761100292206,
-0.13434605300426483,
-0.6160333156585693,
-0.5940182209014893,
-0.3606414198875427,
-0.163686603307724,
-0.40060245990753174,
-0.3094146251678... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in English, and your task is to translate it into Persian.
It reminded him of his first fight, when he was six years old,
Output: | این حالت او را به یاد نخستین دعوایش انداخت زمانی که شش ساله بود، | 1 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
0.17276449501514435,
1.280189871788025,
-0.12085235863924026,
-0.7763420343399048,
-0.4649937152862549,
-0.020171839743852615,
1.3613911867141724,
0.8533998727798462,
0.7331461906433105,
0.1393689066171646,
-0.534338653087616,
0.30029988288879395,
-1.5493371486663818,
-0.18706950545310974,... |
Definition: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sent... | بنا به یافته های اخیر، افزایش دما تاثیری در سلامت کارگران ندارد | 2 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-0.9667627811431885,
0.30516695976257324,
0.2834702432155609,
0.1778549700975418,
-0.17641077935695648,
-0.6304210424423218,
0.6851295828819275,
0.26569628715515137,
0.29059717059135437,
-0.4203624427318573,
-0.8759806752204895,
0.32679179310798645,
-0.5684064626693726,
-0.0252401307225227... |
Teacher: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? If you are still confused, see... | fear | 2 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.36948469281196594,
0.2942865192890167,
0.6435482501983643,
-1.1123723983764648,
-0.16633707284927368,
-0.44565874338150024,
0.9221517443656921,
0.6507189869880676,
-0.0557820163667202,
-0.1646401584148407,
-0.5607275366783142,
-0.5917990207672119,
-0.6729468107223511,
-0.556659340858459... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | vehicle. | 3 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.3424573540687561,
0.7886931300163269,
-0.1494632065296173,
0.39972448348999023,
-0.3741488754749298,
-1.1539549827575684,
0.26839494705200195,
0.3826541602611542,
-0.3175680935382843,
-0.2483615130186081,
-1.3596512079238892,
0.6444166302680969,
-0.24938291311264038,
-0.15593266487121582... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 8 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.6199573874473572,
0.6988985538482666,
0.1820376068353653,
0.18046033382415771,
-0.4029525816440582,
-0.7905732989311218,
0.860267162322998,
0.3714088201522827,
-0.3239777088165283,
-0.3155331313610077,
-0.22878722846508026,
-0.806147575378418,
-0.1737874448299408,
0.27356022596359253,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example Input: E, frequentemente, a violência é uma forma de lidar com a situação.
Example Output: ולעיתים קרובות הם מתמודדים דרך אלימות.
Example Input: Em África, uma cobra que podia fazer o solo fumegar.
Example Ou... | במקום זה גיליתי צעירות פקחיות וכיפיות, ואמיצות ונדיבות.
| 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.3995908200740814,
0.41042158007621765,
0.1940646916627884,
-0.4844219386577606,
-0.56964111328125,
-0.30884283781051636,
0.6775208711624146,
0.44963592290878296,
0.6989848017692566,
-0.1982429027557373,
-1.004254698753357,
0.19830748438835144,
-0.8982337713241577,
-0.17876507341861725,
... |
Definition: Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Input: Достаточно вспомнить то... | Russian | 2 | NIv2 | task1370_newscomm_classification | zs_opt | [
-0.26956695318222046,
0.09396043419837952,
0.7177613377571106,
0.45236605405807495,
0.4604511260986328,
-0.0011222269386053085,
0.23128581047058105,
0.48530763387680054,
0.3147193193435669,
0.39183059334754944,
0.12773215770721436,
0.15158754587173462,
-0.5792558789253235,
0.24066287279129... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: It is al... | Det är också viktigt att komma ihåg att det finns ett brett urval av åtgärder som kan vidtas vid tillämpning av försiktighetsprincipen. | 6 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.1497986763715744,
0.6603806614875793,
0.47219032049179077,
-0.9700100421905518,
0.19933170080184937,
-0.5998204946517944,
0.964959979057312,
0.7844390869140625,
0.1423671692609787,
0.030946899205446243,
-0.39765626192092896,
0.4290080666542053,
-0.7415101528167725,
-0.6282260417938232,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Input: Consider Input: Reviews: It was too metallic and shi... | Output: False
| 2 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.3273254632949829,
0.43309658765792847,
-0.6221878528594971,
-0.5298235416412354,
-0.20268994569778442,
-0.2737663984298706,
0.5880253314971924,
1.1433846950531006,
-0.40229037404060364,
0.6859369277954102,
-0.2699488699436188,
-0.20792865753173828,
-0.20365378260612488,
-0.0829180553555... |
Given the task definition and input, reply with output. Given a sentence in German, generate a new German 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 plausi... | Du würdest eine String-Nummer lernen, weil du jemanden anrufen willst. | 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.4971175789833069,
0.8618650436401367,
0.5446491241455078,
-0.4803009629249573,
-0.07904358208179474,
0.022851040586829185,
0.7907873392105103,
0.5141570568084717,
0.23035436868667603,
-0.034206993877887726,
-1.022931694984436,
0.20204028487205505,
-0.8368549942970276,
0.0093928053975105... |
Teacher:In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Teacher: Now, understand the problem? Solve this instance: 271 - 676 + ... | 5774 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.7169338464736938,
-0.1368207186460495,
-1.0283970832824707,
-0.013640467077493668,
-0.41907209157943726,
0.28903305530548096,
1.0286691188812256,
0.811622142791748,
0.14750680327415466,
-0.6493769884109497,
-0.3737279176712036,
-0.23840606212615967,
-0.47241634130477905,
0.0938599780201... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | no | 0 | NIv2 | task211_logic2text_classification | zs_opt | [
0.019514355808496475,
-0.2215607762336731,
-0.2949988543987274,
0.34229427576065063,
0.42094022035598755,
-0.43851256370544434,
0.3218690752983093,
0.6126354336738586,
0.1783549040555954,
-0.10916753858327866,
-0.5121984481811523,
0.1358242630958557,
0.16158795356750488,
0.3546572625637054... |
Given the task definition, example input & output, solve the new input case.
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.
Example: [-83, 53, -48, 8]
Output: [-80, 50, -50, 10]
The output ... | [800, -80, 920, 630, -240, 0, -20, 500, -990, -350, -840, 530, -220, 640, -810] | 1 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.571560263633728,
0.3847358822822571,
-0.4391651451587677,
0.1381503939628601,
0.04347455874085426,
-0.29239970445632935,
0.46972256898880005,
0.5334429740905762,
-0.2169981151819229,
0.23592057824134827,
-0.4047091007232666,
-0.23900946974754333,
-0.22297964990139008,
0.1303237676620483... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Vietnamese, generate a new Vietnamese 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... | Mọi người thích thuê nhà hàng nhưng nó đắt lắm. | 1 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.06750717014074326,
0.2571876645088196,
-0.07513893395662308,
-0.030795935541391373,
-0.22505047917366028,
-0.19002050161361694,
0.737671971321106,
0.9251164197921753,
0.10169465839862823,
-0.021778181195259094,
-0.49142348766326904,
-0.6078585386276245,
-0.4653831124305725,
0.38196507096... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | a | 3 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.6170028448104858,
-0.08999159932136536,
-0.9439176321029663,
0.05243393033742905,
0.5577658414840698,
-0.7265598177909851,
1.1948728561401367,
1.0678174495697021,
0.005534471943974495,
0.06172153353691101,
-0.3291586935520172,
0.029256708920001984,
-0.47632351517677307,
0.091856360435485... |
Detailed Instructions: 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.
Problem:Handlung: ok - Wortwahl: unterhalb der Gürtellinie . Beim erst... | NEG | 8 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.3751518726348877,
0.5170122385025024,
-0.04128172621130943,
0.041375622153282166,
-0.6078963875770569,
0.3364855647087097,
1.305632472038269,
0.7242738008499146,
0.21108105778694153,
0.4520883560180664,
0.024261169135570526,
-0.16440314054489136,
-0.6557508707046509,
-0.4971064329147339... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not... | A | 1 | NIv2 | task297_storycloze_incorrect_end_classification | zs_opt | [
-0.12946593761444092,
1.2882146835327148,
-0.12355146557092667,
-0.5267232656478882,
-0.05460542067885399,
-0.29212236404418945,
1.0794122219085693,
0.26898783445358276,
0.12691667675971985,
-0.17268113791942596,
-0.6495491862297058,
-0.34568843245506287,
0.03407267853617668,
-0.4027997851... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Example: Qui c'è la medusa mortale con le ali ad X.
Output: Aquí esta la medusa ala-x de la muerte.
The Italian sentence is correctly translated i... | Orgullosamente, les anuncio, que hace seis meses, fue elegida Vicealcaldesa de Narok. | 1 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.3416464924812317,
0.5261543989181519,
-0.29113614559173584,
0.15937688946723938,
-0.41511741280555725,
-0.03683967888355255,
0.44566574692726135,
1.0685378313064575,
0.07215555757284164,
-0.2650029957294464,
-0.20694796741008759,
0.09737642109394073,
0.011463053524494171,
0.336014628410... |
Given the task definition and input, reply with output. Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equali... | Not Hope Speech | 5 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.6337027549743652,
0.20196221768856049,
0.4164033830165863,
0.042784422636032104,
-0.16578716039657593,
-0.37096428871154785,
-0.541093111038208,
0.5432591438293457,
-0.461841344833374,
0.052389249205589294,
-0.5153483748435974,
0.08150956779718399,
-0.44230157136917114,
-0.2953020930290... |
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 numbers with the same length as the number of the lists in the input list.
[EX Q]: [[31, -42, -11, -50, -10], [47, -14, 48, ... | [264960, -3022110, 194580, -946, 14076, 1155200, 120, 126, -18]
| 6 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.21466724574565887,
0.05195946246385574,
-1.1216866970062256,
-0.29191067814826965,
-0.29210180044174194,
-0.44718438386917114,
1.2720767259597778,
0.6656821370124817,
-0.7736533880233765,
-0.4235439896583557,
-1.1067285537719727,
0.503670334815979,
-0.7900761365890503,
-0.38079667091369... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
[Q]: xPLSxeVWYADih, hMQyuLSxeVWhmrvZO
[A]: e, h, l, m, o, q, r, s, u, v, w, x, y, z
[Q]: GqxXgzDgigmEtTvqdqHQnm, NNmNqzURTmEtT... | a, b, e, h, i, l, m, p, r, t, u, v, w, x, y
| 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.3445199728012085,
0.8904744386672974,
0.20642811059951782,
-0.5182063579559326,
0.28098249435424805,
0.19475558400154114,
0.7526553869247437,
-0.016050128266215324,
-0.13023138046264648,
-0.23183679580688477,
-0.8822351694107056,
-0.05497528240084648,
0.05554594099521637,
-0.21516345441... |
Part 1. Definition
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then rev... | wD3494T | 7 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.06579142808914185,
0.2026396095752716,
-0.46811002492904663,
-0.6160574555397034,
-0.031109604984521866,
0.011207837611436844,
0.5028365850448608,
0.15802569687366486,
-0.36048829555511475,
0.2108658254146576,
-1.1312110424041748,
-0.20703992247581482,
0.08075975626707077,
-0.3696389794... |
This task is about translating a given French language sentence to English.
Example Input: Maman, merci pour le repas.
Example Output: Thank you for the meal, mom.
Example Input: Je vais vous payer une visite de temps en temps.
Example Output: I'll pay you a visit now and then.
Example Input: Vraiment ?
Example Outp... | Really?
| 3 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.1702936887741089,
0.5423117876052856,
0.29695773124694824,
-0.2723446488380432,
-0.09352616220712662,
-0.6372494697570801,
0.19722405076026917,
0.06706687808036804,
0.7586225271224976,
0.031197337433695793,
0.1881101131439209,
0.20950140058994293,
-0.20509037375450134,
-0.27636337280273... |
Instructions: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili... | Mensen die niet veel overslaan hebben inactieve gamers. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.9855666160583496,
0.997802197933197,
-0.4543629288673401,
-0.7036412954330444,
-0.23978815972805023,
0.19277498126029968,
0.4617847800254822,
0.4380205273628235,
0.2573253810405731,
-0.8616644740104675,
-0.7714221477508545,
0.5880447030067444,
-0.931551992893219,
-0.22255615890026093,
... |
In this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specified by the category. If the category is specified as entailment, then the output sentence must clearl... | Solution: Someone is not reading the email | 5 | NIv2 | task1613_sick_given_category_generate_sentence | fs_opt | [
-0.6914927959442139,
0.5432112216949463,
0.04901699721813202,
-0.6608836650848389,
-0.29430902004241943,
-0.22853058576583862,
0.02466031350195408,
0.31704601645469666,
0.1749771535396576,
-0.49023985862731934,
-0.5860083103179932,
-0.26694297790527344,
-0.015872657299041748,
-0.0211639348... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Se si sentiva il segnale e componevi un numero, due volte su tre ottenevi il numero sbagliato.
| 仮に発信音があってダイアルを回したとしても ３回に２回は間違った相手につながってしまい | 5 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.7844844460487366,
0.2645137310028076,
0.1163577139377594,
-0.08436253666877747,
0.21677365899085999,
-0.22566932439804077,
0.5640062093734741,
0.35607296228408813,
-0.45525410771369934,
-0.272405207157135,
-0.4332602024078369,
0.35654014348983765,
-0.1860235631465912,
-0.157870367169380... |
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... | Ты следующий, кто найдет кроликов в ульях. | 6 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.49698111414909363,
0.4489583671092987,
0.10773758590221405,
-0.6456840634346008,
-0.6021537780761719,
-0.1232047900557518,
0.5741944313049316,
1.8130083084106445,
0.27905935049057007,
-0.617724597454071,
-0.7792155742645264,
-0.3727607727050781,
-0.4374961853027344,
0.22586680948734283,... |
Definition: 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 c... | Offensive | 2 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.5251589417457581,
0.13528846204280853,
0.07906439900398254,
0.638452410697937,
-0.19485655426979065,
-0.6443928480148315,
-0.5138739943504333,
0.5521018505096436,
0.017619390040636063,
0.3289835751056671,
-0.2886577248573303,
-0.7555333375930786,
-0.4174692928791046,
-1.2533496618270874... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What can cause bodies of water to increase the amount of water they contain?
| 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.6226685643196106,
0.5497008562088013,
0.09726596623659134,
0.4230039119720459,
-0.045043058693408966,
-0.8674420118331909,
0.2994121015071869,
0.9297491908073425,
-0.24072468280792236,
-0.23834213614463806,
-0.7534014582633972,
-0.18225912749767303,
-0.6274927854537964,
-0.21690841019153... |
Definition: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Input: Passage: Kennedy's assassination led indirectly to another com... | Pei. | 2 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.47150275111198425,
0.429571270942688,
-0.27379947900772095,
-0.10176260024309158,
0.7914606332778931,
0.02847703918814659,
0.8280701637268066,
0.47867876291275024,
0.2747897505760193,
0.536776602268219,
-0.5181536078453064,
0.6604470014572144,
-0.9396302700042725,
0.2054266482591629,
-... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a cat is laying on a keyboard in front of double monitors'. How many words start with the letter 'm' in the sentence.
1
Sentence: 'an orange and white scooter carrying two ... | 4
| 0 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
-0.5042722225189209,
0.14451974630355835,
-0.8351949453353882,
-0.6379200220108032,
-0.004181323107331991,
-0.13688890635967255,
-0.5179901123046875,
0.8002046346664429,
0.6530203819274902,
-0.5612959861755371,
-0.5704284310340881,
-0.37788087129592896,
0.06695439666509628,
-0.262856364250... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: 2-LETTER WORDS
Clue: It's used to attract attention to something sighted on a ship,... | lionel hampton
| 0 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.9406909942626953,
0.6256352663040161,
-0.6065025925636292,
-0.30976539850234985,
0.2557830214500427,
-0.2865375578403473,
0.8111844062805176,
-0.15457215905189514,
-0.1837776154279709,
-0.42280834913253784,
-0.048838090151548386,
0.06387109309434891,
-0.44458848237991333,
0.526072680950... |
Detailed Instructions: 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 relevant to the story.
Problem:Title: Having a Baby. Senten... | Finally he found the answer: he got her noise-cancelling headphones. | 8 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.22273358702659607,
0.8202563524246216,
0.029265940189361572,
-0.20632246136665344,
-0.5510684251785278,
0.3477441668510437,
-0.18813486397266388,
0.6672364473342896,
0.696915328502655,
-0.3171692490577698,
-0.3593747913837433,
0.13301944732666016,
-0.276448518037796,
0.42647749185562134... |
instruction:
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
question:
Question1: How is india unique from other countries?, Question2: What makes India different from all other countries in the world?
answer:
Yes
question:
Ques... | No
| 9 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.36731070280075073,
0.2698667049407959,
-0.33348986506462097,
0.38738006353378296,
-0.4683031439781189,
-0.9156686067581177,
0.9247148036956787,
0.23826491832733154,
-0.3435073494911194,
0.33700039982795715,
-0.3584885001182556,
-0.33424168825149536,
-0.167833149433136,
-0.04838600754737... |
Part 1. Definition
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 expresse... | Neutral | 7 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.5886850953102112,
0.12409023940563202,
0.6561892032623291,
0.2982978820800781,
0.07986046373844147,
-1.0946367979049683,
1.0478699207305908,
0.16920775175094604,
0.7770605683326721,
0.1270148754119873,
-0.7086222171783447,
0.25077348947525024,
-0.3349643051624298,
-0.3412259519100189,
... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: We need ... | Vi behöver ha material från kommissionen som vi kan använda som hjälp vid granskningen av utgifterna. | 6 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.5445822477340698,
0.7734382748603821,
0.3599025011062622,
-0.8923505544662476,
0.5444920063018799,
-0.3319404423236847,
1.067859411239624,
0.8061659336090088,
0.28752902150154114,
0.22492629289627075,
0.222817525267601,
0.3884517550468445,
-0.2915196716785431,
-0.2992563247680664,
-0.... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Q: Powinniśmy ograniczyć nasze działania do ochrony ludności cywilnej w Bengazi.
A: | היינו צריכים להגביל את עצמנו בקפדנות רבה מאד להגנה על האוכלוסיה האזרחית בבנגאזי. | 4 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.8725091218948364,
0.9804129600524902,
0.4215216338634491,
-0.34707212448120117,
-0.27721166610717773,
-1.0990655422210693,
1.2947065830230713,
-0.44317758083343506,
0.5478392839431763,
-0.17620179057121277,
-0.8012940883636475,
0.02820144221186638,
-0.690513551235199,
-0.037316653877496... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Podemos facer con este coiro, o que se fai con el hoxe en día,... mais coa imaxinación pode que moito máis.
A: | Este tipo de couro pode fazer o que o couro atual faz, mas com imaginação, provavelmente muito mais. | 7 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.31438302993774414,
1.4407453536987305,
0.40523791313171387,
-0.2707939147949219,
-0.3112964332103729,
-1.6295485496520996,
0.06226228550076485,
1.0302083492279053,
-0.13223005831241608,
-0.0058095199055969715,
-0.036580368876457214,
0.35376688838005066,
-0.6624277234077454,
0.5849996209... |
Detailed Instructions: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Problem:Fake Pastors: Bunmi àti Rukayat ni agbódegbà àwọn afurasi pasitọ náà
Solution: | Entertainment | 8 | NIv2 | task612_yorubabbc_classification | zs_opt | [
-0.23287466168403625,
0.1957710087299347,
-0.5020719766616821,
0.5065529346466064,
-0.679192841053009,
-0.3339141011238098,
0.19368448853492737,
-0.14805608987808228,
0.07779114693403244,
-0.07583825290203094,
-0.5644684433937073,
0.23684704303741455,
-0.8194200992584229,
0.238484933972358... |
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... | Output: Who served as King's Council the year before Blackburne was nominated for the position?
| 2 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.7547805309295654,
0.4381512403488159,
-0.9031818509101868,
-0.15838678181171417,
0.6638672351837158,
-0.6031911373138428,
0.5167223215103149,
0.5407940149307251,
-0.1410503387451172,
0.2684001326560974,
-0.40846341848373413,
0.061054032295942307,
-0.37310758233070374,
0.2197233885526657,... |
TASK DEFINITION: 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 convey a ... | Anti-stereotype
| 8 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.020045068114995956,
-0.0452706441283226,
-0.46161413192749023,
0.2768053710460663,
-0.3270410895347595,
0.5673806667327881,
0.7687457799911499,
0.8684467077255249,
0.4204541742801666,
0.17049548029899597,
-0.709900975227356,
-0.07737415283918381,
-0.30918583273887634,
-0.1285592019557953... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
See one example below:
Problem: Question: Foi um presente popular e com... | D | 4 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | fs_opt | [
0.297130823135376,
0.37964141368865967,
-0.8543984293937683,
0.09856653213500977,
-0.3377572298049927,
-0.4378266930580139,
-0.30232536792755127,
1.3462655544281006,
-0.0792807787656784,
0.3516618013381958,
0.12113445997238159,
0.38158559799194336,
-0.08137838542461395,
-0.4491974711418152... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief abou... | red_cupboard | 2 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
-0.12300019711256027,
-0.39049142599105835,
-0.4048486649990082,
-0.4417608976364136,
-0.4717225730419159,
-0.18892276287078857,
0.3660470247268677,
0.7910603880882263,
0.3262174427509308,
-0.21644210815429688,
-0.4583227038383484,
0.5497482419013977,
0.2120722234249115,
0.0706321224570274... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| 7 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.4840660095214844,
0.4443557560443878,
0.12338270246982574,
0.18680410087108612,
-0.4213378131389618,
-0.4012884497642517,
0.5510885119438171,
0.43968313932418823,
-0.13224107027053833,
0.20963624119758606,
-1.0002362728118896,
-0.4828575849533081,
-0.3387340307235718,
-0.487328231334686... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Slično, u arapskom svijetu, postojalo je ono što veliki arapski povjesničar Albert Hourani definira kao Liberalno doba.
****
| 4 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.2566048502922058,
0.4747065305709839,
-0.26917415857315063,
0.31184789538383484,
0.12113858759403229,
-0.8545836210250854,
1.0703544616699219,
0.7965245246887207,
0.2599351108074188,
-0.38589686155319214,
-0.19109924137592316,
0.5005037188529968,
-1.0506937503814697,
0.28232598304748535... |
Given the task definition and input, reply with output. Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 19 Oo waxaan samada sare ka muujin doonaa yaabab, Dhulka hoosena waxaan ka muujin doonaa calaamooyin, Kuwaas oo ah... | 19 And I will shew wonders in heaven above, and signs in the earth beneath; blood, and fire, and vapour of smoke: | 5 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.823122501373291,
1.2611435651779175,
0.32622864842414856,
-0.7149802446365356,
-0.5224146842956543,
-0.41715914011001587,
0.22404643893241882,
0.5651315450668335,
0.37510862946510315,
-0.255016028881073,
-0.13247495889663696,
1.1001496315002441,
-1.292738437652588,
0.05240820348262787,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Example: このアイデアはとてもシンプルで
Example solution: A ideia é muito, muito simples.
Example explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: 用心深くて慎重だったのです
| Solution: São mais prudentes. Estão mais alerta. | 5 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.19729726016521454,
0.7058902978897095,
0.22521263360977173,
-0.7073761224746704,
-0.339134156703949,
-1.1922392845153809,
0.5313891768455505,
0.3924255967140198,
0.31981247663497925,
-0.6009566187858582,
-1.0510443449020386,
0.36997634172439575,
-0.9332597255706787,
0.4170759320259094,
... |
Q: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: a glacier causes mechanical weathering, Fact2: Largest of the glacier-formed lakes is Karakul., Question: What can be formed by mechanical weatherin... | G | 7 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.09287795424461365,
0.10327353328466415,
0.1334843933582306,
-0.320561945438385,
-0.1843724250793457,
-0.5077139139175415,
-0.21625939011573792,
0.5896410942077637,
-0.49537938833236694,
-0.5327552556991577,
-0.26407569646835327,
-0.2075660228729248,
-0.14052951335906982,
0.0598226562142... |
Construct a question that every answer in the list is correct and reasonable for it.
check, photo, contract, shirt, book, ball, petition | name something that a person might ask to have signed | 0 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.4924229383468628,
0.6017413139343262,
-0.822939395904541,
-0.1847446709871292,
0.4482979476451874,
-0.6656787395477295,
0.41756826639175415,
-0.9991238117218018,
0.12143395841121674,
-0.5291973352432251,
0.10584177076816559,
0.010028126649558544,
-1.2903825044631958,
0.4284874200820923,... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Ex Input:
Problem: in township k each property is taxed at 10 percent of its assessed value . if the assessed value of a property in township k is increased from $ 20,000 to ... | b
| 1 | NIv2 | task1420_mathqa_general | fs_opt | [
0.22711479663848877,
0.4071749448776245,
-0.2585268020629883,
0.5551018714904785,
0.10164131224155426,
-0.0887312963604927,
1.4665453433990479,
1.3918962478637695,
-0.37571969628334045,
-0.02371339499950409,
-0.43999969959259033,
0.7301192283630371,
-0.5140366554260254,
-0.5012805461883545... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What was Kanakadasa's scholarly work? | 0 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.4266235828399658,
0.3510972261428833,
-0.656039297580719,
-0.03837446868419647,
0.5230541229248047,
-0.573410153388977,
0.869451642036438,
1.206852912902832,
0.03354453667998314,
-0.4654242992401123,
-0.8508114218711853,
0.7740228772163391,
-0.9955090284347534,
-0.21661531925201416,
0.... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Example Input: از کجا می توانم مخزن گاز خالص نیتروژن را خریداری کنم؟ <sep> تأثیرات سفید کننده در مخازن بنزین ... | not-paraphrase
| 3 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.9576090574264526,
0.9213882684707642,
0.5042977333068848,
-0.5737869143486023,
-0.7194209694862366,
0.13041435182094574,
1.475113034248352,
1.387163758277893,
0.3130045533180237,
0.09241332113742828,
-0.7630346417427063,
-0.23233184218406677,
-0.671055793762207,
-0.020015135407447815,
... |
Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Input: (CNN) -- "Real Housewi... | Teresa | 3 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.40942177176475525,
0.7367132902145386,
-0.8245152831077576,
1.0722157955169678,
0.6009107232093811,
0.39013540744781494,
0.18211279809474945,
1.0034891366958618,
-1.089120864868164,
0.25043171644210815,
0.12479905784130096,
0.33268922567367554,
-0.5976073741912842,
-0.45649921894073486,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Mi ricordo alcuni di loro parlarmene con gli occhi che brillavano di gioia, come una grandiosa conferma della loro fede e della bontà di Dio.
Outp... | أتذكر أن واحدة قالت لي هذا, وعيناها تشعان بالحماس نتيجة هذا التأكيد الرائع لإيمانها ولطيبة الرب | 1 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.4311169385910034,
0.6260271072387695,
-0.08662131428718567,
-0.5757787227630615,
-0.3986830711364746,
-0.0028883800841867924,
0.9089013338088989,
0.4646495282649994,
0.18099108338356018,
-0.11168208718299866,
-0.724544882774353,
-0.48720863461494446,
-0.5204874277114868,
0.5509036779403... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
(מחיאות כפיים) ברונו גיוסיאני: ג 'וסלין, זה מדהים, ואני בטוח שממש עכשיו, יש מספר אנשים בקהל, כנראה אפילו הרוב, שחושבים, "" אני מכיר מישהו שיכול להשתמש בזה. "" אני מכיר, בכל מקרה.
(Aplausos) Bruno Giussani: Jocelyne, isto é ... | Tremoísta: Sorte
| 0 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.46331727504730225,
1.2568321228027344,
-0.12491833418607712,
0.17848141491413116,
0.0722537636756897,
-0.6927261352539062,
0.6343565583229065,
-0.39799726009368896,
0.3187289834022522,
-0.21057692170143127,
-0.8209483623504639,
0.43172162771224976,
-0.8005909323692322,
-0.18380507826805... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Ex Inpu... | noise IsA cry
| 1 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.419839084148407,
0.8106227517127991,
0.25258171558380127,
-0.1658736616373062,
-0.366763710975647,
-0.6742148399353027,
0.7778019905090332,
0.38298889994621277,
0.1772426813840866,
-0.48758208751678467,
-0.5265635848045349,
-0.30976781249046326,
-1.0642720460891724,
-0.1462176889181137,
... |
Teacher:In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Teacher: Now, understand the problem? Solve this instance: President Donald Trump is apparently not a One Direction fan.
Liam Payne, a member of the wildly popular British boy group,... | A member of One Direction claims President Trump once kicked the British boy band out of Trump Tower in New York after they refused to meet with one of his daughters, CBS News reports. "He phoned up our manager, and we were asleep," Liam Payne tells a UK magazine. "He said, ‘Well, wake them up,’ and I was like, ‘No.'" ... | 6 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.31363096833229065,
0.3558831512928009,
-0.22542732954025269,
-0.10405723750591278,
0.4761568307876587,
-0.4104312062263489,
0.3731954097747803,
0.6364845633506775,
-0.21597564220428467,
0.45440444350242615,
0.29582831263542175,
0.39723140001296997,
-0.4889533519744873,
-0.379957556724548... |
Teacher: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in... | Macau | 2 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.9020999073982239,
-0.2728020250797272,
-0.44157731533050537,
-0.9538068175315857,
0.4219762682914734,
-0.5375301837921143,
0.38862770795822144,
0.622077226638794,
-0.8766347169876099,
0.3605598509311676,
0.45365816354751587,
0.2811415195465088,
-0.42000865936279297,
0.3360210061073303,
... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
でも、いくら素晴らしい作品であってもどこかで、これは作者が作り上げたものと同じ効果をもっていないと感じていました
| و به همون اندازه که این کتاب ها بزرگ بودن ، همیشه می تونستین بگین که که دارین به اثر کامل نزدیک میشین. | 5 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.12725920975208282,
0.5268514752388,
0.46602633595466614,
-0.32647430896759033,
0.22971884906291962,
-0.18637406826019287,
0.24798449873924255,
0.25413161516189575,
0.014006303623318672,
0.09144574403762817,
-0.7125710248947144,
0.34458011388778687,
-0.6190149784088135,
0.084334298968315... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 6 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
1.0492504835128784,
-0.31723254919052124,
-0.09142738580703735,
-0.15045154094696045,
-0.050398554652929306,
-1.075042963027954,
1.3779287338256836,
0.781111478805542,
-0.9743815660476685,
-0.27013447880744934,
-0.5415823459625244,
-0.14776620268821716,
-0.4221739172935486,
0.3221694827079... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Turkish 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 *... | " mai lee " restoranını arar mısın. | 8 | NIv2 | task252_spl_translation_en_tr | zs_opt | [
-0.46842730045318604,
0.2191128134727478,
-0.13220353424549103,
-0.052299901843070984,
0.26559048891067505,
-0.1996665894985199,
0.8379039764404297,
0.17653021216392517,
-0.4078982472419739,
0.28470855951309204,
0.17718125879764557,
-0.1826542615890503,
-0.49478328227996826,
0.719854831695... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਸ਼੍ਰੀ ਸੰਤੋਸ਼ ਕੁਮਾਰ ਗੰਗਵਾਰ,ਕਿਰਤ ਤੇ ਰੋਜ਼ਗਾਰ ਰਾਜ ਮੰਤਰੀ (ਸੁਤੰਤਰ ਚਾਰਜ)
| રોજગાર અને કૌશલ્ય વિકાસ પર મંત્રીમંડળીય સમિતિ | 5 | NIv2 | task1044_pib_translation_punjabi_gujarati | zs_opt | [
-0.5927550792694092,
1.0793466567993164,
-0.0023804684169590473,
-0.69594407081604,
0.197221040725708,
-0.4456961750984192,
0.48994892835617065,
-0.40298837423324585,
0.039012860506772995,
0.22263523936271667,
-0.4187498092651367,
-0.11024026572704315,
-0.46420997381210327,
0.2783667147159... |
Detailed Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is ac... | acceptable | 4 | NIv2 | task616_cola_classification | fs_opt | [
-0.3253604471683502,
0.6714962720870972,
0.43989041447639465,
-0.7013790607452393,
-0.12052419036626816,
-1.3068976402282715,
0.6118857860565186,
0.5305118560791016,
0.637650728225708,
0.3031066656112671,
-0.7686614394187927,
-0.6150164008140564,
-0.5067214965820312,
-0.0025891850236803293... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
و لباسهای شیکی که میخرید نهفته بود و اینهمه او را شتابان،
Output: | the presentable garments it would buy him, all of which would bring him nearer, | 1 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.35875409841537476,
0.8468670845031738,
-0.35412341356277466,
0.26235538721084595,
-0.24362343549728394,
0.636475682258606,
0.48835769295692444,
0.19263431429862976,
0.7324904203414917,
0.23909743130207062,
-0.594042181968689,
-0.09765361249446869,
-0.47100064158439636,
0.163837060332298... |
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