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 |
|---|---|---|---|---|---|---|
Teacher: In this task, you are given a question. You have to answer the question based on your information.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution: Will... | documentary | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.8087456822395325,
0.10816775262355804,
0.46460044384002686,
0.36336833238601685,
-0.12765003740787506,
0.16430744528770447,
-0.15358544886112213,
-0.2291761338710785,
0.5910861492156982,
0.12267326563596725,
0.5437538623809814,
0.16130129992961884,
-0.8460721969604492,
-0.45254385471343... |
Detailed Instructions: In this task, you are given a country name and you need to return the capital city of the given country
Q: Morocco
A: | Rabat | 9 | NIv2 | task1146_country_capital | zs_opt | [
1.3585363626480103,
1.022760272026062,
0.520098865032196,
-0.8482668399810791,
-0.21885879337787628,
0.6497900485992432,
0.48905041813850403,
-0.2441517412662506,
-0.8515512943267822,
0.34512192010879517,
-0.5901024341583252,
0.3662559986114502,
-0.7754093408584595,
-0.009922274388372898,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Q: エド・ウィルソン （ 生物学者 ） が夢見たように「生物大百科」に載る海洋生物がみなリストや写真や文章で残されるだけでなく保護区域では生き残るだろうという希望が生まれます
A: | As áreas protexidas fornecen a esperanza de que as criaturas do soño de Ed Wilson dunha enciclopedia da vida ou un censo da vida mariña, non van vivir só nunha lista, unha foto, ou un parágrafo. | 4 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.9048593044281006,
0.3662216067314148,
-0.4634203612804413,
-1.4850428104400635,
-0.12065449357032776,
-1.3629251718521118,
0.04398103058338165,
0.011170541867613792,
-0.5284823179244995,
-0.706041693687439,
0.5135475397109985,
0.3983927369117737,
-0.43075913190841675,
0.0584068670868873... |
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Q: When was tahiti village in las vegas built?
A: | When was tahiti village in las vegas built and opened? | 9 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.07619525492191315,
0.9548187851905823,
-0.5604909062385559,
1.3561888933181763,
0.2457130253314972,
-1.1708221435546875,
0.40656429529190063,
0.7601329684257507,
-0.10790078341960907,
-0.2402304708957672,
-0.44316691160202026,
0.2537798285484314,
-0.7495522499084473,
-0.5668594837188721... |
Detailed Instructions: In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Problem:Sentence: A scallop is a(n) mollusk. Question: What type of creature is a scallop?
Solution: | mollusk | 8 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
-0.14392712712287903,
0.6217583417892456,
0.2799680233001709,
-0.581505537033081,
-0.4740774631500244,
0.03159534931182861,
0.2970791161060333,
-0.4414477050304413,
0.10827118903398514,
-0.6173539161682129,
0.41668784618377686,
0.05998482182621956,
-0.8562393188476562,
0.11190071702003479,... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
--------
Question: The rule of a dy... | Literature
| 7 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.4592043459415436,
0.32697999477386475,
-0.12238176167011261,
-0.4741480350494385,
0.1297246515750885,
0.08462461829185486,
0.7809931039810181,
0.8702559471130371,
0.22839680314064026,
-0.2519102096557617,
-0.5422216653823853,
0.5090509653091431,
-0.5070310831069946,
-0.4305107593536377,
... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Example Input: Beginning: ... | 1
| 3 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.5495334267616272,
0.24709779024124146,
0.15990979969501495,
-0.2239992618560791,
-0.06513793766498566,
-0.12372530996799469,
-0.09756815433502197,
0.8615964651107788,
0.05667027458548546,
0.03241045027971268,
-0.4491238296031952,
-0.3524646759033203,
-0.01845720037817955,
-0.61553162336... |
Instructions: 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 even... | No | 3 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.0637621134519577,
0.4040614366531372,
0.4123152494430542,
-0.1590341329574585,
-0.18833723664283752,
-0.5728959441184998,
0.8558839559555054,
0.10249102115631104,
-0.7544065117835999,
-0.5086389780044556,
-0.03010515682399273,
-0.45630621910095215,
-0.21244657039642334,
0.188610032200813... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Example: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Output: אתם רואים שהפינגווין הזה ני... | נדהמתי מהיופי הטבעי של הנוף, אבל יותר חשוב, לא יכולתי להאמין שמצאנו גלים כאלה מושלמים בחלק כזה מרוחק וקשה של העולם. | 1 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.1593739986419678,
0.715648353099823,
-0.16177260875701904,
0.3798217177391052,
-0.6994392275810242,
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-0.21688616275787354,
0.3693293333053589,
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-0.012983880937099457,
-0.7297186851501465,
0.36852964758872986,
-0.2948928475379944,
-0.3646144270896... |
Definition: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending ... | personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.6502185463905334,
0.18026405572891235,
0.2870679199695587,
0.3324943780899048,
-0.6271185874938965,
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0.5285631418228149,
-0.09585906565189362,
0.05872781574726105,
-0.1267400085926056,
-0.7018250226974487,
-0.09539424628019333,
-0.4446392059326172,
0.0989423841238021... |
TASK DEFINITION: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a chil... | I waved to the van.
| 8 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.16137295961380005,
0.19570092856884003,
-0.36603403091430664,
-0.16232547163963318,
-0.2111429125070572,
0.12091714143753052,
0.6024685502052307,
0.39687031507492065,
-0.3733104169368744,
0.027339288964867592,
-0.32063978910446167,
0.2594524323940277,
-0.08608394861221313,
-0.39613324403... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | embarrassed | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.25740206241607666,
0.33578139543533325,
0.008255831897258759,
-0.4156671166419983,
0.08038163185119629,
0.1426846981048584,
0.7399134635925293,
0.7961268424987793,
0.3296041488647461,
-0.024362988770008087,
-0.36113086342811584,
-0.1952355057001114,
-0.3211178183555603,
0.27184167504310... |
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.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression ... | Solution: positive | 5 | NIv2 | task195_sentiment140_classification | fs_opt | [
-0.9358601570129395,
-0.3418172001838684,
0.5022494196891785,
0.42817121744155884,
0.6273704767227173,
-1.0219628810882568,
0.012992961332201958,
0.5866849422454834,
0.4350355863571167,
0.6671210527420044,
-0.7198572754859924,
-0.4461161494255066,
-0.2869969606399536,
-0.7762394547462463,
... |
Given the task definition and input, reply with output. 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 t... | یونت برای دسته های تهاجمی آنها خیلی کمک کننده نبود. | 5 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.438816785812378,
0.7577505707740784,
-0.16797800362110138,
0.581701934337616,
0.1400289684534073,
-0.34923651814460754,
-0.1763579249382019,
-0.22550353407859802,
0.26403048634529114,
-0.31838369369506836,
-1.1260459423065186,
0.584287703037262,
-0.2430546134710312,
0.08929289877414703,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
One example is below.
Q: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
A: The mailbox was bent and broken and looked like someone had knocked it... | Christ is the head of the Mystical Body and we are its members , its arms , legs , eyes , millions of cells , and nerves , the whole bit . | 9 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.24175485968589783,
1.1697486639022827,
0.1706422120332718,
0.07387061417102814,
0.040875740349292755,
-0.9002555012702942,
0.34190839529037476,
0.46516793966293335,
0.12353117763996124,
-0.49210652709007263,
-0.04594682157039642,
0.21726134419441223,
-1.127214789390564,
-0.00880650803446... |
You will be given a passage consisting of set of facts and a question as input. The task is to answer a question of form 'Where is <person_name>?' using one of the given facts to determine the latest location of the person. Answer should be a word/phrase describing the location from the supporting fact. Avoid answers t... | hallway | 4 | NIv2 | task083_babi_t1_single_supporting_fact_answer_generation | zs_opt | [
0.39195239543914795,
0.7498559951782227,
-1.1029837131500244,
-0.6520955562591553,
-0.7400282025337219,
-0.3693133592605591,
0.570755124092102,
0.09042467176914215,
0.5179815292358398,
0.3728759288787842,
-0.4868816137313843,
0.12117007374763489,
-0.0818721204996109,
-0.05947115272283554,
... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | The Deet's decided to buy a dog. | 9 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.10067285597324371,
0.5912450551986694,
-0.3277120590209961,
-0.45623961091041565,
-0.5156762599945068,
0.12363924086093903,
0.8477378487586975,
0.5038634538650513,
-0.3442484736442566,
-0.4745401442050934,
-0.6168181896209717,
0.33489927649497986,
0.015016205608844757,
0.007376771420240... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Q: Sentence 1: Insecticides are commonl... | neutral | 4 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.39559412002563477,
0.8152764439582825,
0.021992206573486328,
0.09078967571258545,
0.14254261553287506,
-1.5582249164581299,
-0.1486746370792389,
0.6826985478401184,
0.05448676645755768,
0.1590101420879364,
-1.3101823329925537,
-0.025727033615112305,
-0.5444169044494629,
-0.8041167855262... |
Given the task definition and input, reply with output. 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*... | Zašto ne imati brzu pamet kao Ken Jennings, pogotovo ako je možete povećati sa slijedećom generacijom Watsonova stroja? | 5 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.40446990728378296,
1.2287724018096924,
-0.1770290732383728,
0.3239436447620392,
-0.09113766252994537,
-0.5121525526046753,
0.3240429759025574,
-0.15762893855571747,
0.004719394259154797,
-0.35286182165145874,
-0.10519883036613464,
0.4829321503639221,
-0.38963451981544495,
0.014910087920... |
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".
Ex Input:
چه چیزی ویتامین بدن را تامین میکند؟ <sep> چه چیزی پوست بدن را سفت میکند؟
Ex Output:
not-paraphrase
... | paraphrase
| 1 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.9791673421859741,
0.5279706716537476,
-0.11809617280960083,
-0.3561860918998718,
-0.8859168291091919,
-0.15671153366565704,
1.5738736391067505,
0.7280764579772949,
0.499239444732666,
-0.31857144832611084,
-0.5250297784805298,
-0.14347732067108154,
-0.9187651872634888,
0.5098521709442139... |
Teacher:In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the q... | #1 return cylinders
#2 return blue ball
#3 return #1 to the left of #2
#4 return color of #3 | 6 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.7539500594139099,
-0.5006093382835388,
-0.5491486191749573,
0.4042041301727295,
-0.12378797680139542,
-0.02464226447045803,
1.007155418395996,
0.47216203808784485,
-0.39260923862457275,
0.5599535703659058,
-0.5291308164596558,
0.1603308618068695,
0.2055174708366394,
-0.027198083698749542... |
Detailed Instructions: In this task, you need to count the number of words in a sentence that contain the given letter
See one example below:
Problem: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
Solution: 3
Explanation: The words 'gray', 'standing', and '... | 0 | 4 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.2738100290298462,
0.4925375282764435,
-0.6007668972015381,
-1.132034182548523,
-0.203290194272995,
0.07201827317476273,
0.39699649810791016,
0.4398214817047119,
0.33696019649505615,
-0.33613595366477966,
-0.8284978270530701,
0.4118363559246063,
-0.3174569010734558,
0.11826201528310776,
... |
You will be given a definition of a task first, then some input of the task.
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'several people walking around horses in a wooded area', Sentence2: 'a corner of a building shows graffiti wear'. Is the... | No | 1 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.55296790599823,
0.6456993818283081,
-0.19913652539253235,
0.4340795874595642,
-0.15642671287059784,
-0.8802220821380615,
0.3979022800922394,
0.7738309502601624,
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-0.3058636486530304,
-0.6739376187324524,
-0.14073733985424042,
-0.05925441533327103,
0.060248475521802... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence 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... | English | 0 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.4945221245288849,
0.668505072593689,
0.22913868725299835,
-0.6568903923034668,
0.10369949787855148,
0.325839102268219,
0.411691814661026,
0.29924726486206055,
0.9356263875961304,
0.1033649891614914,
0.7285052537918091,
0.6891528367996216,
0.08818225562572479,
-0.20747467875480652,
0.0... |
Teacher: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) ... | Is the response to bronchodilators in adults predictive of bronchial-hyperreactivity? | 2 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.3185480237007141,
0.2797284722328186,
-0.2552453577518463,
-0.4410223960876465,
0.7341954708099365,
-0.6323695182800293,
0.4459376335144043,
0.5918779969215393,
-0.2272442728281021,
-0.0022538993507623672,
-0.33571046590805054,
0.006369188893586397,
-0.8333678245544434,
0.382128566503524... |
Detailed Instructions: 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.
Q: Alonzo told us all about the recent grim events.
A: | sadness | 9 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.266168475151062,
0.47749951481819153,
0.44809016585350037,
-0.6446071267127991,
-0.3012463450431824,
-0.5421831011772156,
0.6751427054405212,
0.4522450566291809,
-0.043901100754737854,
-0.43131622672080994,
-0.4601513147354126,
0.03626697510480881,
-0.3409115672111511,
0.358547270298004... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: و از ایشان کسانى هستند که پیامبر را آزار مىدهند و مىگویند: «او زودباور است.» بگو: «گوش خوبى براى شماست، به خدا ایمان دارد و [سخن] مؤمنان را باور مىکند، و براى کسانى از شما که ایمان آوردهاند رحمتى اس... | You will see the mountains and think they are firmly planted, but they will pass away like flying clouds: Artistry of God who perfected everything. He is indeed fully aware of what you do.
****
| 4 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.030551524832844734,
0.8013383150100708,
0.02590852417051792,
-0.1742039918899536,
-0.5608136653900146,
-0.6188606023788452,
0.8272644877433777,
0.5654056072235107,
0.3283924460411072,
-0.015615618787705898,
-0.9316810369491577,
0.5518452525138855,
-0.7204024791717529,
0.0483402311801910... |
Instructions: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment".
Input: Premise: Modify the arac... | Contradiction | 3 | NIv2 | task1388_cb_entailment | zs_opt | [
-0.48418205976486206,
0.3982774019241333,
-0.21745502948760986,
-0.08922870457172394,
-0.24048297107219696,
-1.3344855308532715,
0.3218211233615875,
0.4476083517074585,
0.4453102648258209,
-0.10800869762897491,
-0.6102599501609802,
-0.1290121078491211,
-0.5867899656295776,
-0.3800744116306... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Example: Sentence1: Rick grew u... | By the time I went through two wool pads it was clean. | 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.15535826981067657,
0.9988909959793091,
-0.5925564169883728,
0.05011606588959694,
-0.17410916090011597,
-0.594240665435791,
0.2585994601249695,
1.1167162656784058,
-0.14243310689926147,
0.22013311088085175,
-0.3731237053871155,
0.012727655470371246,
-0.26032811403274536,
-0.0756231173872... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | formal
| 3 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.3922540247440338,
0.32204923033714294,
0.29930734634399414,
-0.35924941301345825,
0.8456305861473083,
-0.5842769145965576,
0.9363154172897339,
0.9325661659240723,
-0.036527592688798904,
0.5897099375724792,
-0.1494464874267578,
-0.07813697308301926,
-0.6621227860450745,
-0.186805963516235... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | The prisoner decides to wait >Causes/Enables> The prisoner waits
| 5 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.0206797793507576,
0.8175090551376343,
-0.12226774543523788,
-0.3426423668861389,
0.002772255800664425,
-0.6778253316879272,
0.12208689749240875,
1.070246934890747,
-0.10233040153980255,
0.26680752635002136,
-0.42256686091423035,
0.27311742305755615,
-0.5131993293762207,
-0.07681936025619... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Problem:Tengo que contarles algo sobre mi niñez.
Solution: | سأخبركم بطفولتي.. | 8 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.3634223937988281,
0.33853811025619507,
-0.18993090093135834,
-0.5035597085952759,
-0.7082419991493225,
-0.04529727250337601,
0.64863520860672,
0.4018590450286865,
0.13629688322544098,
0.08897660672664642,
-0.3230043649673462,
-0.6060702204704285,
-1.229025959968567,
0.4349244236946106,
... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
--------
Question: This study assumes that a robot does not have any vocabularies in advance but can recognize ... | Do they explore how useful is the detection history and opinion summary?
| 7 | NIv2 | task461_qasper_question_generation | fs_opt | [
0.4101629853248596,
-0.08970867842435837,
-0.247327521443367,
0.34356242418289185,
0.3767637014389038,
-0.6868798732757568,
0.4679029583930969,
0.7822637557983398,
0.34557226300239563,
0.5481797456741333,
-0.7086849808692932,
0.12712422013282776,
-0.07078641653060913,
0.44571253657341003,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Six critical areas are being addressed in promoting sustainable forest harvesting: harvest planning; forest roads; felling; extraction; lo... | ويجري تناول ستة ميادين حاسمة في مجال تشجيع الاستغلال المستدام للغابات وهي: تخطيط استغلال الغابات؛ وطرق الغابات؛ وقطع الأشجار؛ وإنتاج الأخشاب؛ والنقل عبر مسافات طويلة؛ والتقييم بعد الاستغلال. | 1 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.14803625643253326,
0.43027791380882263,
0.584311306476593,
-0.9148141145706177,
-0.5622024536132812,
-0.047993551939725876,
0.24745024740695953,
0.19200867414474487,
-0.18044424057006836,
0.1781303584575653,
-0.3693731725215912,
-0.2084001898765564,
-0.6882498860359192,
0.184178620576858... |
Teacher:In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'onesev... | 4374237453 | 6 | NIv2 | task1443_string_to_number | zs_opt | [
-0.4019685685634613,
1.0442304611206055,
-0.07242617756128311,
-1.2512214183807373,
-0.2296687662601471,
-0.4912143051624298,
1.1230268478393555,
0.13984036445617676,
0.08998897671699524,
-0.3685505986213684,
-0.10678660124540329,
0.5822969675064087,
-0.7410678863525391,
-0.929453551769256... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3333909809589386,
-0.14867796003818512,
0.10939635336399078,
-0.10524982213973999,
0.5975196361541748,
-0.2837185859680176,
0.4555993676185608,
0.8818510174751282,
-0.012914394959807396,
0.10418815910816193,
0.11340314894914627,
-0.4473321735858917,
-0.6899644732475281,
0.016431435942649... |
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: Coordi... | True | 8 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.3792100250720978,
0.34095606207847595,
-0.6013807058334351,
1.040390133857727,
-0.10601922869682312,
-0.6866612434387207,
0.8525826930999756,
0.33890706300735474,
-0.07726539671421051,
-0.11018499732017517,
-0.633845865726471,
0.41265571117401123,
-0.10716070234775543,
-0.032877638936042... |
Definition: Given a sentence in the English language, translate it into the Nepali language.
Input: Text: Finally, the latter is important for the understanding of the large - scale structure of the cosmos.
Output: | अन्तमा, ब्रह्माण्डको ठूलो स्तरीय संरचनालाई बुझ्नको लागि पछि महत्वपूर्ण छ।
| 2 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.5517907738685608,
0.7936344146728516,
0.3388855457305908,
-0.21642190217971802,
-0.6903641223907471,
-0.4004577398300171,
1.2586705684661865,
-0.8029873967170715,
-0.020881520584225655,
-0.2722680866718292,
-0.3075827956199646,
0.20096158981323242,
-1.0174624919891357,
0.601719856262207... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | no i am trying to find a picture of the last supper
| 0 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
-0.43587997555732727,
0.3198048174381256,
-0.7740639448165894,
0.15767906606197357,
-0.06397102773189545,
0.14656299352645874,
0.7419337034225464,
0.06435657292604446,
0.3132875859737396,
-0.040074825286865234,
0.14167611300945282,
-0.4937557280063629,
-0.678946852684021,
0.330441594123840... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | agent: UA airlines with single connection and price is 200 of 1000 flight. | 0 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.8266957998275757,
0.5813839435577393,
-0.7654507160186768,
-0.6637478470802307,
0.17673209309577942,
-0.33137065172195435,
0.8534490466117859,
-0.17738065123558044,
-0.07456817477941513,
0.2555500268936157,
0.28421974182128906,
-0.47136789560317993,
-0.07050682604312897,
0.4846377968788... |
Detailed Instructions: In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
Q: سیّد احمد حُکمآبادی (زادهٔ ۸ مهر ۱۲۶۹ در تبریز – درگذشتهٔ ۲۰ اسفند ۱۳۲۴ در تهران) که بعدها نام خان... | سیّد احمد حُکمآبادی چه جنبشی را بنیان گذاری کرد؟ | 9 | NIv2 | task394_persianqa_question_generation | zs_opt | [
0.9059261083602905,
0.17737171053886414,
-0.3720395863056183,
-0.410844087600708,
-0.19013366103172302,
-0.17311280965805054,
0.7424380779266357,
0.4488704800605774,
0.4172844886779785,
0.1689002811908722,
-0.5423564910888672,
0.7428324222564697,
-0.9961491823196411,
-0.40288305282592773,
... |
Teacher:Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: On âDr. Ozâ on Monday Corey Feldman divulged the identity of another... | Corey Feldman | 6 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.2412852644920349,
0.0333416685461998,
-0.6686716675758362,
-0.4405704736709595,
0.13314078748226166,
-0.09827999770641327,
0.7778688669204712,
0.5897647738456726,
-0.014778099954128265,
0.1646924912929535,
-0.040262315422296524,
1.124738097190857,
-0.48258817195892334,
-0.048143178224563... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Q: کسانی که از آن تلمبه آب ننوشیده بودند بیمار نشدند.
A: | الأشخاص اللذين لم يشربوا من تلك المضخة لم يصيبهم المرض. | 4 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
0.09428725391626358,
1.5852084159851074,
-0.6986032724380493,
-0.20423245429992676,
-0.42373549938201904,
-0.525122880935669,
0.6771827936172485,
-0.03497958183288574,
0.5323209762573242,
-0.4425228536128998,
-0.260678768157959,
0.3118744492530823,
-0.7502663135528564,
0.026267386972904205... |
TASK DEFINITION: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
PROBLEM: Sentence: 'a woman sitting with two dressed up teddy bears'. Remove all words of length '4' in the given sentenc... | three people sitting large elephant a river
| 8 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.16441002488136292,
0.47648581862449646,
-0.7386210560798645,
-0.6263828277587891,
0.14614491164684296,
-0.3015168011188507,
0.490858256816864,
-0.018820639699697495,
0.33004245162010193,
-0.3428179621696472,
-0.681182324886322,
-0.24370020627975464,
-0.5819264650344849,
0.214707568287849... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Input: E in effetti tra uomini gay americani abbiamo osservato quel tipo di cambiamento negli anni '80.
Output: | و في الواقع رأينا نوع من التغيير في الثمانينيات بين صفوف الشواذ جنسياً في الولايات المتحدة | 3 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.9239582419395447,
0.1531103551387787,
-0.5694758892059326,
-0.7563246488571167,
-0.37119531631469727,
-1.0973703861236572,
-0.33072373270988464,
0.853929877281189,
0.7015264630317688,
-0.3025943338871002,
-0.34443792700767517,
0.25452756881713867,
-0.4912926256656647,
-0.477363288402557... |
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.
Example input: Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public sch... | What is the purpose of disaster prediction according to the passage? | 3 | NIv2 | task311_race_question_generation | fs_opt | [
0.6504577398300171,
-0.03380746766924858,
-0.4988858699798584,
-0.30629703402519226,
0.6512986421585083,
-1.0442225933074951,
0.6299995183944702,
0.730241060256958,
0.03259434551000595,
0.019556382670998573,
-0.2499828189611435,
0.23202002048492432,
-0.9583088159561157,
0.2809674143791199,... |
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 individual's beli... | green_bucket
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.38355743885040283,
-0.34004268050193787,
-0.4797893166542053,
-0.1325124353170395,
0.004366344306617975,
-0.36824652552604675,
0.06754584610462189,
0.6948577165603638,
-0.18322141468524933,
-0.14425522089004517,
-0.3856815993785858,
0.5469081997871399,
0.0691756159067154,
0.1514725089073... |
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.
--------
Question: అన్ని కుడి, 500 గ్రాండ్!
Answer: All right, 500 grand!
Question: వండ.
Answer: Wanda.
Question: సరే... | Okay, all right.
| 7 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.29604873061180115,
1.078029990196228,
-0.015264008194208145,
0.26106685400009155,
-0.11873353272676468,
-0.26244592666625977,
-0.07357437908649445,
0.3072158098220825,
0.24852383136749268,
-0.2373698651790619,
0.2652587890625,
-0.012077685445547104,
-0.4288538694381714,
0.00377053115516... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | True
| 6 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.1365123838186264,
-0.3324620723724365,
-0.9476178288459778,
0.5526085495948792,
-0.3980228900909424,
-1.163202166557312,
-0.20629924535751343,
0.8477991223335266,
-0.7118341326713562,
0.14313063025474548,
-0.6735142469406128,
-0.23164495825767517,
0.011410796083509922,
-0.183179572224617... |
Detailed Instructions: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Q: Verify if the sentiment of the following document towards the entity Pope Francis i... | no | 9 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.3337119221687317,
-0.22164662182331085,
0.01796812005341053,
0.3503398299217224,
-0.2911134958267212,
-1.5558050870895386,
0.5729736685752869,
0.12028629332780838,
0.3964617848396301,
0.7534447908401489,
0.06143913418054581,
0.5491637587547302,
-0.5638816952705383,
-0.29888054728507996,... |
Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for... | #1 return Novak
#2 return yards of #1
#3 return sum of #2 | 3 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.6587573885917664,
-0.08961352705955505,
-0.9425616264343262,
0.7023233771324158,
0.05878812074661255,
-0.2293063998222351,
1.2668670415878296,
0.20254801213741302,
-0.186911940574646,
0.301751047372818,
-0.7332618236541748,
-0.1433950662612915,
0.05965534970164299,
0.31769102811813354,
... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Ex Input:
A guy wants to be able to remember the evening. He can be sure that he has a visual and audio backup of the night by (A) bringing his camera (B) bringing ... | A
| 1 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.148826003074646,
0.37305939197540283,
-0.33220475912094116,
0.29269060492515564,
-1.1079940795898438,
0.22673143446445465,
0.6650276184082031,
1.064556360244751,
-0.2298264503479004,
-0.29305198788642883,
-0.19914397597312927,
-0.16962942481040955,
-0.4710324704647064,
0.154846340417861... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Q: Gujarati: પાણીના બોટલની બાજુમાં કાઉન્ટર પર મિક્સર સાથે રસોડામાં... | No | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.4113936424255371,
0.10233473777770996,
0.27395549416542053,
-0.0868847519159317,
0.2797870337963104,
-1.231318473815918,
0.20705944299697876,
-0.15240596234798431,
0.11095434427261353,
0.10157282650470734,
0.1907544732093811,
0.07775488495826721,
-0.685178279876709,
0.1906844675540924,
... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: Elephants have impressed us for centuries. They are big, clever, and sociable. But what if someone told you that they may also hold the key to fighting cancer? People have been... | Why are elephants unlikely to develop cancer? | 0 | NIv2 | task311_race_question_generation | zs_opt | [
0.336186945438385,
0.3526504933834076,
-0.34451258182525635,
0.11000160127878189,
-0.1272048056125641,
-0.9462150931358337,
0.3729015588760376,
1.0134555101394653,
-0.2675727605819702,
-0.2260674238204956,
0.02893085405230522,
0.7448076009750366,
-1.4937877655029297,
0.41312357783317566,
... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example: سم ، خوبي ، تو حالت خوبه .
Example solution: sam . alright , youre alright .
Example explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Problem: آره . حالم خو... | Solution: yeah , im fine . so where are you headed . | 5 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.06541043519973755,
0.7232410907745361,
-0.20344039797782898,
-0.9570963382720947,
-0.18942540884017944,
-1.060495376586914,
0.19515815377235413,
0.3586433529853821,
0.2589852511882782,
0.009917193092405796,
-0.6469192504882812,
1.3004851341247559,
-0.4283238351345062,
-0.1041875258088111... |
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Q: Verify if the sentiment of the following document towards the entity Christine Sylvest is Positive . WASHI... | no | 4 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.8801520466804504,
0.05406280979514122,
-0.16792547702789307,
0.08463165163993835,
-0.08511735498905182,
-1.441550612449646,
-0.10213135182857513,
0.5528609752655029,
0.6923624873161316,
0.6193432807922363,
1.0967562198638916,
-0.7883426547050476,
-0.011994102969765663,
-0.09660151600837... |
Part 1. Definition
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Part 2. Example
و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Answer: He who created pairs of everything, and fashioned for you boats ... | To you have come signs from your Lord, (and the light of understanding). So any one who sees (and understands) does so for himself, and any one who turns blind shall suffer the consequences alone. (Say:) "I am not a guardian over you (to make you understand)." | 7 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.34054118394851685,
0.5809838771820068,
-0.4132581949234009,
-0.25386756658554077,
-0.3601333200931549,
-0.05047949030995369,
1.1135106086730957,
0.08897894620895386,
-0.037297531962394714,
-0.23163390159606934,
-1.1160558462142944,
0.8481357097625732,
-0.7385672330856323,
0.364216923713... |
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... | Sports | 9 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.514649510383606,
0.8828897476196289,
-0.3574041426181793,
0.10307855904102325,
0.27474015951156616,
-0.602590799331665,
-0.3062041997909546,
0.18147823214530945,
-0.35156869888305664,
-0.2501530051231384,
-0.8171737790107727,
0.20343706011772156,
-0.17368516325950623,
-0.221487969160079... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
[EX Q]: Beginning: Janet w... | 1
| 6 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.4266858696937561,
0.12146112322807312,
-0.1958364099264145,
0.1274963915348053,
-0.8108678460121155,
-0.5425580739974976,
0.43410271406173706,
0.950049877166748,
-0.38508230447769165,
0.046855878084897995,
-0.5040355920791626,
0.03865455090999603,
-0.5186124444007874,
-0.026340086013078... |
Q: In this task, you need to Translate Czech text to English.
Vynález řeší zvýěení reziduálních účinků fixací účinných insekticidních látek pomocí makromolekulárních polymerů s vysokou substantivitou k vlasům a pokožce. Fixace účinných látek je dána jednak uvedenou substantivitou polyvinylpyrrolidonu nebo jeho ko... | The invention addresses residual increases effects of fixation of effective insecticidal agents with macromolecular polymers with high nouns to hair and skin. Fixation of active substances is given on the one hand by the substantivity of polyvinylpyrrolidone or copolymers thereof, or derivatives thereof to the m... | 7 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.38435301184654236,
-0.0072551025077700615,
0.06184934452176094,
-0.49622803926467896,
-0.11290930956602097,
-0.7327073812484741,
0.16113582253456116,
0.8248021006584167,
0.5463007092475891,
0.515618622303009,
-0.9088485240936279,
0.9082831144332886,
-1.0217690467834473,
0.20233899354934... |
In this task, you are given a text of news article and corresponding headline of an article. Your task is to give label "match" if headline is correct for article, otherwise give label "no".
Let me give you an example: Article: Serge Ibaka -- the Oklahoma City Thunder forward who was born in the Congo but played in Sp... | no | 8 | NIv2 | task1354_sent_comp_classification | fs_opt | [
-0.307569682598114,
-0.21118667721748352,
-0.19667282700538635,
0.7544959783554077,
0.21355484426021576,
0.032630160450935364,
0.26591938734054565,
0.32647567987442017,
-0.2334516942501068,
-0.30954796075820923,
-0.050182685256004333,
0.13609561324119568,
-0.5130455493927002,
-0.1870481371... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Austin remembered Tracy's name after not seeing them for years. | How would you describe Austin? | 0 | NIv2 | task596_mocha_question_generation | zs_opt | [
0.7539561986923218,
0.8628174066543579,
0.0320686511695385,
0.17924392223358154,
-0.20023468136787415,
-0.46585536003112793,
0.9663070440292358,
-0.5104624032974243,
0.20480835437774658,
0.5134834051132202,
-0.3653598427772522,
0.08041501045227051,
0.09207053482532501,
0.8280911445617676,
... |
Teacher:In this task you are given a passage in Bulgarian as the input content. You are expected to generate a suitable title for the passage which accurately summarizes the contents of the passage. The input is provided in the form of a long passage comprising of multiple sentences. The output should be restricted to ... | 15-годишен, нападнал и обрал дете | 6 | NIv2 | task1561_clickbait_new_bg_summarization | zs_opt | [
0.36377567052841187,
1.0831663608551025,
-0.13807010650634766,
-0.5385855436325073,
-0.4926859736442566,
-0.04411385953426361,
0.4189811646938324,
0.8866837620735168,
-0.025255613029003143,
0.30223366618156433,
-0.5326133966445923,
1.0312573909759521,
-0.7778944373130798,
-0.33749705553054... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | direction | 0 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.14237156510353088,
0.16807883977890015,
-0.5393645167350769,
0.1656537801027298,
0.1457054167985916,
-0.24154087901115417,
-0.3537541925907135,
0.30848658084869385,
0.1556674838066101,
-0.10090416669845581,
-0.41000688076019287,
0.05913934111595154,
-0.38953620195388794,
-0.3805601894855... |
Teacher:The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced lett... | griaffe | 6 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.7651442885398865,
0.5335336923599243,
0.5552574396133423,
-0.12032555788755417,
0.3648108243942261,
-1.549811601638794,
1.302258014678955,
0.08318457752466202,
-0.17423921823501587,
0.06055150926113129,
0.13637922704219818,
-0.856347918510437,
-1.0061070919036865,
-0.12597967684268951,
... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
--------
Question: bimodal
Answer: unimodal
Question: diadromous
Answer: anadromous
Question: fast
Answer: | slow
| 7 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.20078229904174805,
1.285356879234314,
0.31004706025123596,
-0.5083764791488647,
-0.7869418859481812,
-0.647873044013977,
-0.17595531046390533,
0.8021021485328674,
0.4498233199119568,
-0.655483603477478,
-1.1170969009399414,
-0.2784082889556885,
-0.8149466514587402,
0.2699388563632965,
... |
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: ये लघु फिल्में रेलवे स्टेशनों के प्रवेश द्वारों और यात्रियों के बैठने के स्थानों पर लगाए गए डिजिटल एलईडी स्क्रिन पर दिखाई जाएंगी।
A: | இந்தக் குறும்படங்களில் பாரம்பரிய கட்டிடங்கள், பழங்கால ரெயில் எஞ்சின்கள் போன்றவற்றை காட்சிப்படுத்தி இந்திய ரயில்வேயின் வளமான பாரம்பரியம் குறித்து மக்களிடையே விழிப்புணர்வு ஏற்படுத்தப்படும். | 4 | NIv2 | task993_pib_translation_hindi_tamil | zs_opt | [
-0.391957551240921,
0.2108941376209259,
0.369937926530838,
-0.2313111126422882,
-0.2770637571811676,
0.25901105999946594,
0.5371258854866028,
0.6096651554107666,
-0.6394004821777344,
-0.14748477935791016,
0.3768059313297272,
-0.12859581410884857,
0.06859476119279861,
0.4207177758216858,
... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 病原菌はO1BFS67に似たウイルスとすでに確認されたが、それは１９６７年の発生のときに分離され、研究とワクチン生産のために研究室で使われていたものである。
A: | ສາຍພັນຂອງພະຍາດ ແມ່ນໄດ້ຮັບການລະບຸວ່າເປັນເຊື້ອພະຍາດຄືກັບໄວຣັດ O1 BFS67 ເຊິ່ງໄດ້ຖືກແຍກອອກໃນການລະບາດປີ 1967 ແລະ ຖືກນໍາໃຊ້ ໃນຫ້ອງທົດລອງ ສໍາລັບການຄົ້ນຄ້ວາ ແລະ ຜະລິດວັກຊີນ. | 4 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.1904374212026596,
0.6698559522628784,
-0.987989604473114,
-0.3584124445915222,
0.30380725860595703,
-1.0156028270721436,
0.2999204099178314,
0.7836341857910156,
0.08871772885322571,
-0.23290713131427765,
-0.7006007432937622,
0.9081458449363708,
-0.3370527923107147,
0.472099632024765,
0... |
Teacher:In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Teacher: Now, understand the problem? Solve this instance: ['C', 'R', '4967', 'E', '2103', 'o', 'T', '631', 'Z']
Student: | 7701 | 6 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.2488226294517517,
0.8760112524032593,
-0.585991621017456,
-0.4992518424987793,
0.08007694780826569,
-0.5497008562088013,
0.427944540977478,
-0.05504285544157028,
-0.8838578462600708,
-0.17925818264484406,
-0.42765361070632935,
-0.268428236246109,
0.2393740862607956,
-0.8404436111450195,
... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Ex... | Identifiable
| 3 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-1.138099193572998,
0.37581121921539307,
0.6109387874603271,
-0.5048928260803223,
0.30041077733039856,
-0.0941242128610611,
-0.2818957269191742,
0.89894700050354,
0.3507148325443268,
0.07025943696498871,
-1.2294098138809204,
-0.2763833999633789,
0.29403460025787354,
-0.5233576893806458,
... |
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.
--------
Question: In a large skillet add in butter and melted over a medium heat add in the flour and using a wire whisk blending to for... | sugar, salt, dry mustard, poppy seed, onion juice, cider vinegar, oil, cottage cheese, fresh spinach, bacon, eggs, fresh mushrooms
| 7 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
-0.1196555495262146,
0.5371794700622559,
0.014937816187739372,
-0.4525936245918274,
-0.16809001564979553,
0.5787707567214966,
0.98798668384552,
0.40293654799461365,
-0.27790430188179016,
-0.31103402376174927,
0.4956684112548828,
-0.43577849864959717,
-0.7548049688339233,
0.1085487827658653... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: (خنده تماشاگران) اما اون موقع از ساختمان برای نمایشگاه ، رستورانهای کوچک استفاده می کردیم ، ومتوجه شدیم که اون ساختمان در منطقه مان در دورچسترDorchester — ما الان اون منطقه را پروژه دورچستر می نامیم — یه جور... | (צחוק) אבל היינו משתמשים בבניין, אז, כדי להציג תערוכות, ארוחות קטנות, וגילינו שהבניין בבלוק שלי, דורצ 'סטר — אנחנו עכשיו מתייחסים לבלוק כפרוייקטי דורצ' סטר — שבצורה מסויימת הבניין ההוא הפך לסוג של אתר התכנסות להרבה סוגים של פעילויות. | 2 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.422735333442688,
0.6858413219451904,
-0.14084357023239136,
0.2907536029815674,
-0.31852370500564575,
0.2258320450782776,
0.1432420164346695,
-0.31200218200683594,
1.214746356010437,
-0.17099469900131226,
-0.7006598114967346,
0.3363502621650696,
-0.3234766125679016,
0.2506357729434967,
... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Q: كنت محظوظا أن أترعرع في زمن لم يكن من الصعب فيه على ابن مزارع مستأجر أن يشق طريقه نحو جامعة الولاية.
A: | من به قدر کافی خوش شناس بودم که در زمانی بزرگ شوم ، که برای فرزند یک کشاورز مستاجر مشکل نبود که راه خودش را به دانشگاه باز کنه. من به قدر کافی خوش شناس بودم که در زمانی بزرگ شوم ، که برای فرزند یک کشاورز مستاجر مشکل نبود که راه خودش را به دانشگاه باز کنه. من به قدر کافی خوش شناس بودم که در زمانی بزرگ شوم ، که برای فرزن... | 9 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.6059032082557678,
0.3246673345565796,
-0.32020482420921326,
-0.7752964496612549,
-0.707430362701416,
0.5471471548080444,
0.4999735653400421,
0.3299131691455841,
0.3541961908340454,
0.010298207402229309,
-0.6769665479660034,
-0.11754945665597916,
-0.3773314654827118,
0.42118945717811584,... |
This task is about translating a given Yoruba language sentence to English.
One example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
Solution is here: Today CC licenses are prevalent across the web and are used by creators arou... | Watching is enough for a spectacle. | 6 | NIv2 | task1686_menyo20k_translation | fs_opt | [
0.09497120976448059,
0.9117410182952881,
-0.3293338716030121,
-0.07384598255157471,
0.015473822131752968,
-0.34433120489120483,
-0.0661955326795578,
0.32114678621292114,
0.1548534482717514,
-0.9819409251213074,
-0.18478423357009888,
-0.2242700457572937,
-1.0004103183746338,
0.2669440209865... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
See one example below:
Problem: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Exp... | Entonces, ¿y si analizamos estos dos grupos por separado, los famosos y los no famosos? | 4 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.3588148355484009,
0.8761103749275208,
0.3690897524356842,
-0.14809650182724,
-0.2741508483886719,
-0.3598080277442932,
0.40914949774742126,
0.6997195482254028,
0.5269591808319092,
-0.6022821664810181,
-0.7756253480911255,
0.09839778393507004,
-0.5834200382232666,
-0.23068620264530182,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Q: Linijka z noweli "" Lolita "" Nabokow również był synestykiem
A: | こちらは小説 ｢ ロリータ ｣ の書き出し部分ですナボコフ自身も共感覚者でした | 9 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
0.06787702441215515,
-0.12026599049568176,
0.5506783723831177,
-0.39894798398017883,
0.16642355918884277,
-0.8456540107727051,
0.4714970588684082,
0.12838441133499146,
0.14584006369113922,
-1.033968448638916,
-0.27203547954559326,
0.19536128640174866,
-0.5213245749473572,
0.160806223750114... |
instruction:
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviati... | Entity
| 9 | NIv2 | task1289_trec_classification | fs_opt | [
-0.4812242388725281,
-0.18934085965156555,
0.5668802261352539,
-0.024966832250356674,
0.21146193146705627,
-1.2327110767364502,
0.5089704990386963,
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-0.2652956247329712,
-0.5906974077224731,
0.3447856307029724,
-0.7367565035820007,
-0.134233802556... |
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,... | Solution: What caused many intellectual Catholics to leave europe in the 1930s? | 5 | NIv2 | task739_lhoestq_question_generation | fs_opt | [
0.5034269094467163,
0.5540189743041992,
-0.1616683006286621,
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0.42717939615249634,
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0.21286633610725403,
... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
ରିକ(RIC – ରୁଷ, ଭାରତ, ଚୀନ) ଫର୍ମାଟରେ ସହଯୋଗର ଗୁରୁତ୍ୱକୁ ତିନି ନେତା ଉପଲବ୍ଧ କରିଥିଲେ ଏବଂ ବହୁପକ୍ଷୀୟ ଅବସରରେ ଏପରି ତ୍ରିପାକ୍ଷିକ ବୈଠକ ଆୟୋଜନ କରିବା ଲାଗି ରାଜି ହୋଇଥିଲେ । | तीनों नेताओं ने ब्रिक्स, एससीओ और ईएएस तंत्रों के माध्यम से अंतरराष्ट्रीय और क्षेत्रीय शांति और स्थिरता तथा सहयोग को मजबूत करने के लिए सभी स्तरों पर नियमित विचार-विमर्श करने के बारे में सहमति व्यक्त की, ताकि आतंकवाद, जलवायु परिवर्तन जैसी वैश्विक चुनौतियों से निपटा जा सके और सभी मतभेदों का शांतिपूर्ण तरीके से समाधान करन... | 0 | NIv2 | task986_pib_translation_oriya_hindi | zs_opt | [
-0.21235908567905426,
0.8512015342712402,
-0.4536081552505493,
0.23006358742713928,
-0.48461198806762695,
0.12123134732246399,
1.1334717273712158,
0.10622245073318481,
-0.11498232185840607,
-0.3603907823562622,
-0.7920311093330383,
-0.09939443320035934,
0.38360878825187683,
0.4706658720970... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: Det gläder oss ändå att detta program har blivit så... | No | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.7676519155502319,
1.000430703163147,
0.3282327353954315,
-0.23361513018608093,
0.17445993423461914,
-1.1922041177749634,
0.6564563512802124,
0.5046344995498657,
0.2827678918838501,
0.10072672367095947,
-0.027750544250011444,
0.8456659317016602,
-0.6664800047874451,
0.03223602846264839,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
細菌を研究することで人間の身体の多細胞性についても洞察を得ることができるでしょう
Output: | Pensamos que, estudando as bacterias, coñeceremos máis sobre a pluricelularidade no corpo humano. | 1 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.1472172737121582,
0.2071036845445633,
-0.34195518493652344,
-0.5926336050033569,
-0.0103386752307415,
-0.9581948518753052,
-0.1152767464518547,
-0.012079566717147827,
-0.4217553734779358,
-0.12495062500238419,
-0.4742788076400757,
0.04360286146402359,
-0.8865803480148315,
0.3822685182094... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Context_1 : Last Man Stand... | Tank Man was the name of the unidentified man standing in front of the Chinese military in what city? | 6 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.6880860328674316,
0.4532792568206787,
-0.6211230754852295,
-0.12177599221467972,
0.30604714155197144,
-0.26755332946777344,
0.46640610694885254,
0.8799129724502563,
-0.11420316994190216,
0.08529848605394363,
-0.25287333130836487,
0.6765413284301758,
-0.3698943853378296,
0.193373084068298... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | A man gliding in the wind. | 9 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.26019513607025146,
0.6337379813194275,
0.664912223815918,
-0.706852912902832,
0.23833173513412476,
-0.7271009683609009,
-0.08741554617881775,
0.8546220660209656,
0.21547943353652954,
-0.548843264579773,
-1.0931239128112793,
-0.8779809474945068,
-1.1055846214294434,
-0.5013711452484131,
... |
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]: Jan bleib bei deinen Leisten . Der Schuh, den sich Jan Delay hier angezogen hat, pass... | NEG
| 5 | NIv2 | task481_cls_german_music_classification | fs_opt | [
0.15828821063041687,
-0.29334086179733276,
-0.6483157873153687,
0.3979845643043518,
0.08129428327083588,
0.08597327023744583,
0.9662567973136902,
1.1077346801757812,
-0.39963865280151367,
0.30417710542678833,
-0.1960892379283905,
0.1599808931350708,
-0.29072105884552,
0.20771676301956177,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Let me give you an example: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
The answer to this example can be: Bueno, yo digo nada, pero en realidad hay una ... | El peso de un clip es aproximadamente igual a 900 zeta-illones — 10 a la 21 — moléculas de isopreno. | 8 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.39790043234825134,
0.5252828598022461,
-0.3413964509963989,
-0.3531339168548584,
-0.5729737281799316,
-0.5035454034805298,
0.6027499437332153,
0.40485572814941406,
-0.3915063142776489,
-0.5340433716773987,
-0.5342727899551392,
0.503657341003418,
-0.5556395649909973,
0.27690407633781433,... |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: When I heard their first album, leitmotif, I was blown away (something that only ocassionally happens). A fascinating album, combining various instrumentals with well placed vocals. ... | Negative
| 8 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.2195049524307251,
-0.27812114357948303,
-0.19125576317310333,
-0.6356604099273682,
0.13496428728103638,
-0.6505323648452759,
1.36582612991333,
0.48277971148490906,
0.09455420076847076,
0.5070486068725586,
-0.4142339527606964,
-0.6676768660545349,
-0.6698710918426514,
-0.3827274143695831... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: シカゴ生まれの32歳は、メキシコのエリック・モラレス... | Yes | 1 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.2478541135787964,
-0.09395186603069305,
0.2112334668636322,
-0.25644534826278687,
-0.18037962913513184,
-0.2822594940662384,
0.608424961566925,
0.5915004014968872,
-0.22539788484573364,
-0.8381233215332031,
-0.6654136180877686,
0.42494097352027893,
-0.8246161937713623,
0.065040521323680... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example input: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Example output: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Example explanation: The English sentence is correctly tran... | 彼はドイツの民衆にジャガイモを大いに推奨していました小麦とジャガイモの ２つの炭水化物源があればパンの価格変動が減少すると気づいたからです | 3 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.531916618347168,
0.4270656406879425,
-0.27838921546936035,
-0.35960298776626587,
-0.6665124893188477,
-0.7619829177856445,
1.0493472814559937,
-0.25814712047576904,
0.32862579822540283,
-0.4981920123100281,
-0.8293518424034119,
-0.11001729965209961,
-0.7532558441162109,
0.289045751094818... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Example input: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Example output: A fines del verano estamo... | Es esta idea del destino o la verdadera vocación, la idea de que cada uno de nosotros tiene algo a lo que dedicarse durante su tiempo en esta tierra, y uno tiene que averiguar qué es esa cosa y dedicar su vida a ello. | 3 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.557738184928894,
0.8004083037376404,
-0.5198719501495361,
-0.36674290895462036,
-0.7849162817001343,
-0.42375648021698,
0.9472059607505798,
0.9638753533363342,
0.2971588373184204,
-0.1326887309551239,
-0.17378678917884827,
0.38349243998527527,
-0.6184074878692627,
-0.02545434609055519,
... |
Teacher:Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Teacher: Now, understand the problem? Solve this instance: Who was elected President of Cuba in February 2008?
Student: | president of cuba | 6 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
-0.10415737330913544,
0.31679850816726685,
-0.699736475944519,
-0.41152873635292053,
-1.1758453845977783,
-0.5024495124816895,
0.1360081136226654,
0.6827073097229004,
-0.04663107916712761,
0.24006757140159607,
-0.10812951624393463,
0.47828346490859985,
-0.3736119270324707,
-0.0798248201608... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Example ... | Identity-attack
| 3 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.1104087382555008,
0.31439149379730225,
0.15704181790351868,
0.5045177936553955,
-0.49396443367004395,
-0.1407989263534546,
0.6078033447265625,
1.1055877208709717,
0.34799858927726746,
0.632144570350647,
-0.14160670340061188,
-0.07860514521598816,
-0.5783759355545044,
-0.851364016532898,... |
Definition: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviatio... | Person | 2 | NIv2 | task1289_trec_classification | zs_opt | [
-0.2777967154979706,
-0.3569057583808899,
-0.07800466567277908,
0.027603879570961,
-0.1824096441268921,
-0.6423784494400024,
0.254968523979187,
-0.11991067230701447,
-0.026357756927609444,
-0.40114283561706543,
-0.8150356411933899,
0.03302363306283951,
-0.6293513774871826,
0.11744908988475... |
Q: You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct option for the given question. Write down the answer index: 'A' or 'B'.
Sentence: Mike's glass sheet is very brittle, while his phone book is pretty flexible. Question: Which item is more likely to break in tw... | B | 7 | NIv2 | task1380_quarel_correct_option_generation | zs_opt | [
-0.7805501222610474,
0.21401262283325195,
-0.13336721062660217,
-0.3336101770401001,
0.36543700098991394,
-0.33368268609046936,
0.24542422592639923,
0.5916603803634644,
1.019827127456665,
0.24872377514839172,
-0.48025310039520264,
0.06709129363298416,
-0.040990199893713,
0.2723609209060669... |
Definition: 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.
Input: Article: Part-time jobs for 15 and 16 years olds Waiter / Waitress A job as a waiter or waitress is a good choice for 16-year-olds. Not only can one earn $9-$12 an hou... | What does the writer think of the job as a waiter/waitress? | 2 | NIv2 | task311_race_question_generation | zs_opt | [
-0.044976308941841125,
0.29838138818740845,
-0.4535808265209198,
0.057367175817489624,
0.22756417095661163,
0.4835643768310547,
0.4156239330768585,
0.8715923428535461,
0.45637786388397217,
-0.11113885045051575,
1.0585249662399292,
-0.019608251750469208,
-0.555330753326416,
-0.3265661895275... |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.5552669763565063,
0.40022069215774536,
0.355755478143692,
0.41500163078308105,
-0.11732323467731476,
-0.4877294898033142,
0.9056593179702759,
1.1243343353271484,
0.4507133960723877,
0.2620672881603241,
-0.017608193680644035,
0.9139936566352844,
-0.3325231075286865,
-0.6848725080490112,
... |
Part 1. Definition
This task is about translating a given English language sentence to French.
Part 2. Example
How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Answer: Comment devrions nous inscrire l'intention sur tous les objets que nous créon... | Juste une gorgée. | 7 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.6450698971748352,
0.9828445911407471,
0.6761064529418945,
-0.3466038703918457,
0.09041156619787216,
-0.5018402934074402,
0.7376832365989685,
-0.29507508873939514,
0.2848411202430725,
-0.2383626401424408,
0.16686993837356567,
0.12430022656917572,
-0.49274742603302,
0.10043615847826004,
... |
Definition: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a ... | How many seasons are there of america's got talent are there, as of the end of 2017?
12 | 2 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.24879518151283264,
-0.006433721631765366,
0.10577315092086792,
-0.15910227596759796,
0.24037444591522217,
-0.24840837717056274,
-0.1660347878932953,
0.1235688105225563,
-0.32543742656707764,
-0.31494322419166565,
-0.8998000621795654,
0.05796045809984207,
-0.33197808265686035,
0.19211649... |
In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Trop ancienne pour être utile? . A t elle été rééditée depuis 1985? (Pas de date d'édition... | NEG | 0 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.6043906211853027,
0.1472441852092743,
-0.0744657963514328,
-0.2400541752576828,
0.7361038327217102,
-0.27907058596611023,
0.6869900226593018,
0.2521915137767792,
0.0908006802201271,
0.5004901885986328,
-1.0636430978775024,
-0.40528005361557007,
0.3306993246078491,
0.016488514840602875,
... |
This task is about translating a given Yoruba language sentence to English.
Let me give you an example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
The answer to this example can be: Today CC licenses are prevalent across the ... | He urged them to follow traffic rules and shun the act of driving against traffic otherwise known as ‘one way’ as this would result to traffic gridlock on the portion of roads where road users were meant to manage while the reconstruction last. | 8 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.3896900415420532,
0.4453586935997009,
-0.4977560043334961,
0.13214179873466492,
0.1803686022758484,
-0.5323242545127869,
-0.22355210781097412,
0.7660270929336548,
0.3108236789703369,
-0.925834059715271,
-0.08408248424530029,
0.05348391830921173,
-0.7291170358657837,
-0.2614774703979492,... |
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
[EX Q]: I am married to a middle aged man who does nude photography as a "hobby". You've guessed it, it is most... | RIGHT
| 6 | NIv2 | task224_scruples_anecdotes_ethical_judgment | fs_opt | [
0.28013941645622253,
0.27034792304039,
-0.03200304135680199,
-0.3158497214317322,
0.5163133144378662,
-0.10548622906208038,
0.5809372663497925,
0.8257286548614502,
0.10868080705404282,
-0.08003295958042145,
-0.366332471370697,
0.6185421943664551,
-0.9567419290542603,
0.16330555081367493,
... |
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