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: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question1: How do I get into my Instagram if I forgot my email and my Facebook pa... | No | 2 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.1802506446838379,
0.3027645945549011,
0.2635115683078766,
-0.40728676319122314,
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1.0338056087493896,
0.37223607301712036,
-0.08933901786804199,
-0.2431187927722931,
-0.13159772753715515,
-0.48938530683517456,
-0.9400566220283508,
-0.323156714439... |
Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: angelina jolie
Output: | Who was the second husband of actress Angelina Jolie? | 3 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
-0.8726947903633118,
0.8389642834663391,
-0.7645019888877869,
0.7244867086410522,
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-0.4294978678226471,
-0.003684371244162321,
-0.806575357913971,
0.15062040090560913,
-1.0581673383712769,
-0.30430638790130615,
-0.07759889960289... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Problem:இந்திய ரயில்நிலைய மேம்பாட்டு கழகம், பிரெஞ்ச் தேசிய ரயில்வே மற்றும் ஏ எஃடி என்கிற பிரெஞ்ச் நிறுவனங்களுக்கிடையே முத்தரப்பு ஒப்பந்த... | भारतीय रेलवे स्टेशन विकास निगम (आईआरएसडीसी) ने फ्रेंच नेशनल रेलवेज (एसएनसीएफ) और फ्रांस की एजेंसी-एएफडी के साथ त्रिपक्षीय समझौता किया | 8 | NIv2 | task994_pib_translation_tamil_hindi | zs_opt | [
0.45531344413757324,
0.7140909433364868,
0.4396342933177948,
-0.26173582673072815,
-0.003828030079603195,
-0.5538822412490845,
0.24475106596946716,
0.2569401264190674,
-0.44579458236694336,
-0.25366052985191345,
-0.7944062948226929,
-0.9038118720054626,
-0.11195694655179977,
-0.50539618730... |
Q: 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".
Gujarati: લવલી, શુધ્ધ શ્યામ સેટ રસોડામાં નવી રીમડેલ કરેલ છે.
English: Lovely , clean... | Yes | 7 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.103806972503662,
0.6050581932067871,
0.27150464057922363,
-0.2299518585205078,
-0.11296534538269043,
-1.056307315826416,
-0.0569051057100296,
0.04657142609357834,
-0.11531545221805573,
-0.521557629108429,
-0.002444659825414419,
0.5996634364128113,
-0.8775712251663208,
0.5349700450897217... |
Instructions: In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the ... | Wrong | 3 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
0.44252198934555054,
0.45145148038864136,
0.07343889772891998,
-0.03573531657457352,
-0.0961364358663559,
-0.8634462356567383,
0.5166631937026978,
-0.33510756492614746,
-0.01522788591682911,
-0.6375256776809692,
-0.905659556388855,
0.343332439661026,
-1.1033151149749756,
0.0812926068902015... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Q: Hello, I would like to learn about China
I'd be happy to help! The People's Republic of China was founded in 1949 and is governed by the Communist Party of China. 1.4 billion people live there, making ... | Bankura district
****
| 4 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.7274137735366821,
-0.06383203715085983,
-0.6708736419677734,
0.5145951509475708,
0.6526123285293579,
-0.5877799987792969,
0.33323609828948975,
0.7402313947677612,
-0.32170963287353516,
0.21585705876350403,
0.1252545416355133,
0.51375412940979,
-0.2872469425201416,
0.7885217666625977,
0... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
To największa nagrywarka, jaką w życiu widzieliście.
Solution: It's sort of the biggest TiVo box you've ever seen.
Reason: T... | Imagining a solo cello concert, one would most likely think of Johann Sebastian Bach unaccompanied cello suites. | 2 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.4577230215072632,
0.6834883689880371,
-0.11079615354537964,
0.02589631825685501,
0.46772027015686035,
-0.6246620416641235,
0.6645225882530212,
0.04292277246713638,
0.11799093335866928,
0.1354042887687683,
0.9316200613975525,
0.79752516746521,
-0.3533162772655487,
0.23591801524162292,
... |
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 gave the carton of cigarettes to PersonY because _ had just quit smoking cigarettes.
Sentence 2: PersonX gave the carton of cigarettes to PersonY because _ had run out of cigarettes. | 6 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.3882422149181366,
0.22767217457294464,
-0.07503560930490494,
-0.4238801598548889,
0.60072922706604,
-0.5389946699142456,
0.9067298769950867,
0.7937525510787964,
-0.07523295283317566,
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-0.584118664264679,
-0.4949181079864502,
-0.5789796113967896,
0.21232707798480988,
... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Solution... | لذا فهي بشكلٍ عام جيدة من أجل بقائنا. | 2 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.4241136610507965,
0.38108259439468384,
-0.03892363980412483,
-1.1042600870132446,
-0.5240678787231445,
-0.893495500087738,
0.8607537746429443,
0.83805251121521,
0.2431330531835556,
-0.2470364272594452,
-0.4485026001930237,
0.553092360496521,
-1.0740206241607666,
0.4253576099872589,
0.... |
Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the pro... | October 31 | 6 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
0.03479861840605736,
0.10465767234563828,
-0.27274462580680847,
-0.16593806445598602,
-1.120722770690918,
-0.4620034098625183,
0.689267635345459,
0.8256691098213196,
0.2102937400341034,
-0.3947124481201172,
-0.5948548316955566,
0.3521049916744232,
-0.014579095877707005,
0.21209554374217987... |
Definition: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Input: Two people are seen sitting in front of cameras playing instruments while the camera zooms in. The man then
Output: | uses two drums while the camera zooms in on the man. | 2 | NIv2 | task453_swag_answer_generation | zs_opt | [
-0.10061012208461761,
0.780951976776123,
-1.0185179710388184,
-0.007477522827684879,
0.09617668390274048,
0.40617984533309937,
0.09912998974323273,
0.2778765559196472,
0.6983839869499207,
0.04245903342962265,
-0.32460862398147583,
-0.011547921225428581,
-0.1953844130039215,
-0.097369022667... |
TASK DEFINITION: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign ... | WRB VBD DT JJ NN IN DT NN NN VBN .
| 8 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.17600706219673157,
0.3152649402618408,
-0.1631525307893753,
0.3337215781211853,
0.19608613848686218,
-0.48255103826522827,
1.348129391670227,
0.58539879322052,
-0.7877601981163025,
-0.3228393495082855,
0.06312856078147888,
-0.003990591503679752,
-0.5910126566886902,
-0.03800949826836586,... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes
| 0 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.6913301348686218,
0.0704084038734436,
-0.03417225554585457,
0.348913311958313,
-0.0383618026971817,
0.03161001577973366,
0.22219952940940857,
0.6994216442108154,
-0.17708422243595123,
0.36223623156547546,
-0.2707946002483368,
-0.35160255432128906,
-0.8144089579582214,
-0.839434504508972... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of t... | Strange Ritual | 1 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
0.24568752944469452,
0.5142987370491028,
0.6242995262145996,
-0.2657497823238373,
0.4771635830402374,
-0.7301654815673828,
0.13799132406711578,
0.4672797620296478,
-0.11834077537059784,
0.30012059211730957,
-0.48644423484802246,
-0.342599093914032,
-0.5036906003952026,
-0.5184423923492432,... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | case F.
| 1 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.7540733814239502,
-0.0964413583278656,
-0.41568249464035034,
-0.27782681584358215,
-0.0888822078704834,
-0.434131920337677,
0.26786407828330994,
1.2349038124084473,
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-0.02338395081460476,
-0.9457679390907288,
0.16376888751983643,
-0.48066622018814087,
0.32770723104476... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: In week 11 following their bye-week, the Lions hosted the Jacksonville Jaguars. The Jaguars opened the scoring in the first qua... | blake bortles | 0 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.6859240531921387,
0.7330024838447571,
-0.17117679119110107,
0.41536056995391846,
0.1449301689863205,
-0.1720142364501953,
-0.17975032329559326,
-0.14686131477355957,
-0.06382032483816147,
-0.3614610433578491,
0.621523916721344,
0.2723557949066162,
-0.8799769878387451,
0.03396894037723541... |
Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [24, 75, -7, -79, -75, 48, -69, -69]
Output: | [-7, -79] | 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.09357940405607224,
-0.07267750799655914,
-0.5393720865249634,
-0.3426136374473572,
0.3722690939903259,
0.38168981671333313,
0.8103733062744141,
-0.08812405169010162,
-0.7312644720077515,
0.05893795192241669,
-0.714876651763916,
0.384995698928833,
0.04337576404213905,
-0.7691030502319336... |
Detailed Instructions: In this task, you are given a question. You have to answer the question based on your information.
Q: Cowie Water is south of which ruined fortress in Scotland?
A: | Cowie Castle | 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
0.07099133729934692,
1.3081517219543457,
-0.7506780624389648,
-0.9356979727745056,
0.09438863396644592,
-0.9198538064956665,
-0.19819818437099457,
0.6125791072845459,
0.6731834411621094,
-0.40930524468421936,
0.5177194476127625,
0.12736931443214417,
-0.4695318639278412,
0.07499587535858154... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Let me give you an example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
The answer to this example can be: خوب ، من چیزی ن... | خوب ، همه ما چنین قهرمانی در کودکی داشتیم او که ما می خواهیم بزرگ شویم تا شبیه او شویم ، درست است ؟ | 8 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.22202259302139282,
0.5324065685272217,
-0.503055214881897,
-0.2062574028968811,
-0.6132116317749023,
-0.2620808780193329,
0.6195473670959473,
0.4106806516647339,
-0.32781141996383667,
-0.42174965143203735,
-0.5068337917327881,
0.4199850559234619,
-0.8054838180541992,
-0.2166082859039306... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: But you notice, I've cheated, because I've only gone up to '94.
Output: | Mas reparem, eu fiz batota, porque apenas fui até 1994. | 3 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.9047585725784302,
0.7495511770248413,
-0.30358099937438965,
-0.32852157950401306,
-0.42692506313323975,
-0.797881007194519,
-1.387586236000061,
1.1181538105010986,
-0.5092011094093323,
0.038551174104213715,
-0.30885612964630127,
-0.3786240518093109,
-0.8298882246017456,
-0.0799728184938... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
[EX Q]: English sentence: Shooting Game and adventure with Zombies
[EX A]: Laro ng pagbaril at pakikipagsapalaran sa Zombies
[EX Q]: English sentence: 33 And Eleazar the son of Aaron d... | Ang oras sa pamamagitan ng kanyang mga sekundaryong edukasyon ay natapos na siya ay hindi pa rin sa direksyon na niya kinakailangan na kumuha sa buhay, ng damdamin na siya gusto mong tumagal pulitika o engineering ngunit sa dulo pinili upang simulan ang pananaliksik sa karera.
| 6 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
0.18122223019599915,
-0.2701164186000824,
-0.052506886422634125,
-0.7703651189804077,
-0.5555194616317749,
-0.6454082727432251,
0.6408832669258118,
0.6700441837310791,
-0.04616396129131317,
-0.07029284536838531,
0.41346195340156555,
0.652454137802124,
-0.7145530581474304,
0.272771745920181... |
Teacher:You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to ... | PersonX made an ice pack for PersonYs leg when _ realized what had happened yesterday. | 6 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.4523872137069702,
0.49928760528564453,
0.29547858238220215,
0.08874402940273285,
0.41665345430374146,
-0.848341166973114,
0.16410574316978455,
0.7333593368530273,
-0.029882675036787987,
-0.8215466737747192,
-0.1252143532037735,
-0.04710623249411583,
-0.5403798818588257,
-0.30778315663337... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Consider Input: Sentence1: Cisco pared spending to compensate for sluggish sales ., Sentence2: In response to sluggish sales , Cisco pared spending .
Output: Yes
Input... | Output: Yes
| 2 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.3750188946723938,
0.0174394603818655,
-0.2366381585597992,
0.5982521772384644,
0.4223793148994446,
-0.3968394696712494,
-0.250318706035614,
0.9681742787361145,
-0.08361446112394333,
0.15146486461162567,
-0.02178369089961052,
0.2511117458343506,
-1.0399318933486938,
-0.04881609231233597,... |
Definition: 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 (... | Is p300-dependent STAT3 acetylation necessary for angiotensin II-induced pro-fibrotic responses in renal tubular epithelial cells? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.6778811812400818,
0.041852422058582306,
-0.48082995414733887,
0.23187284171581268,
0.28393614292144775,
-0.7123270630836487,
0.6118802428245544,
0.8370232582092285,
0.16591356694698334,
0.9796449542045593,
-0.8795259594917297,
-0.13263149559497833,
-0.774080753326416,
0.5504685640335083,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.32902055978775024,
0.27066099643707275,
0.49653446674346924,
-0.24321776628494263,
-0.5593025088310242,
-0.44415411353111267,
1.1535545587539673,
0.4690003991127014,
-0.6385157108306885,
-0.13014626502990723,
-0.6333431601524353,
-0.3175298571586609,
-0.5844525098800659,
0.33612418174743... |
Q: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Bought these pads over two years ago.
A: | Good Review | 7 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.6063027381896973,
0.20777685940265656,
-0.3745335340499878,
-0.28419721126556396,
0.1760515570640564,
-1.2495250701904297,
0.2279389202594757,
0.797694742679596,
0.04420534148812294,
0.9037734270095825,
-0.22385099530220032,
0.5653754472732544,
-0.5344942808151245,
-0.15988962352275848,... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Q: Context: The EU h... | no | 9 | NIv2 | task242_tweetqa_classification | zs_opt | [
-1.3107987642288208,
0.006938396953046322,
0.239902526140213,
0.433097779750824,
-0.4745522737503052,
0.23461347818374634,
0.3847033679485321,
0.7936540842056274,
0.30401611328125,
0.7447565793991089,
0.47083958983421326,
-0.45972543954849243,
0.06697262078523636,
0.08238367736339569,
-0... |
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 Polish.
Example: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Output: (Śmiech) Opublikował wiele filmów o przyrodzie.
The Italian sent... | Więc tu widzicie "" wyszukiwania pokrewne "". Nie widać tego wyraźnie ale umieściliśmy ten element przy naszych reklamach AdSense. Więc mówimy na przykład "" Czy miałeś na myśli 'szukane słowo' "". W tym wypadku był to "" Saddam Hussein "" bo jest to blog z Iraku. Pomyśleliśmy, że byłoby świetnie, gdyby obok reklam jes... | 1 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.0508978366851807,
0.8612573742866516,
-0.05328097566962242,
-0.12821918725967407,
-0.7294692993164062,
0.5052746534347534,
0.8401537537574768,
0.5480239391326904,
-0.18526411056518555,
-0.4528610110282898,
-0.43117544054985046,
0.23109355568885803,
-0.28152361512184143,
0.39638859033584... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
One example is below.
Q: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite h... | I like it | 9 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.11595941334962845,
-0.18254269659519196,
-0.5113804340362549,
-0.26717090606689453,
0.07328148931264877,
-0.1385110318660736,
0.9262572526931763,
0.9433104991912842,
0.19900766015052795,
0.6807201504707336,
0.250996857881546,
0.35356277227401733,
-0.3538801372051239,
-0.2430179417133331... |
Generate a correct and concise answer for the question based on the words in the context.
Let me give you an example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Question : What was Isaac Nicola's city of birth... | International Organization for Standardization | 8 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.019551090896129608,
0.28900057077407837,
-0.4344967007637024,
-0.43436551094055176,
-0.014932786114513874,
0.2934778332710266,
0.49361175298690796,
0.7104682922363281,
-0.006573132239282131,
0.4237273335456848,
0.12757012248039246,
0.5026068687438965,
-1.241829752922058,
0.47570461034774... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | ordinal | 6 | NIv2 | task212_logic2text_classification | fs_opt | [
0.23449450731277466,
-0.25369012355804443,
-0.4185042083263397,
0.27111688256263733,
0.36285191774368286,
-0.5224075317382812,
0.7904289960861206,
0.6790119409561157,
0.36021435260772705,
-0.028132658451795578,
-0.04147840291261673,
0.16306018829345703,
-0.06130727753043175,
0.418953776359... |
Q: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : ... | What year is AMX-30 associated with? | 7 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.16639988124370575,
-0.38559600710868835,
-0.46990934014320374,
0.5416468381881714,
0.010214247740805149,
-0.7352930307388306,
0.9545156955718994,
0.3426491618156433,
0.026219714432954788,
0.34304100275039673,
-0.6639155149459839,
-0.3850516676902771,
-0.970788836479187,
-0.3017618358135... |
instruction:
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. St... | ['researchers', 'initially', 'thought', 'that', 'all', 'of', 'learning', 'could', 'be', 'narrowed', 'down', 'to', 'these', 'two', 'basic', 'processes', 'of', '', 'conditioning', 'classical', 'conditioning', 'and', 'operant', 'conditioning.', 'So', 'they', 'thought', 'that', 'all', 'learning', 'was', 'based', 'on', 'the... | 9 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
1.0541504621505737,
0.20132581889629364,
-0.1601576805114746,
0.15680918097496033,
0.5436183214187622,
-0.4970039129257202,
0.08272885531187057,
1.0549819469451904,
-0.8080580234527588,
0.20549429953098297,
-0.02511773072183132,
-0.4833662211894989,
-0.2405928671360016,
-0.1332040429115295... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
وقادنا ذلك للعثور على عدة مواقع محتملة للهبوط.
Output: | این منجر به مجموعه ای برای محل فرود شد. | 1 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.7235985994338989,
0.7517523169517517,
-0.18070831894874573,
-0.5580135583877563,
-0.2570669949054718,
0.9182431697845459,
1.033238410949707,
0.34990638494491577,
0.6621952056884766,
0.37296390533447266,
-1.195160150527954,
-0.31550294160842896,
-0.04200742393732071,
0.451303094625473,
... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: resource-rich western australia will be opened up to uranium mining by its new conservative-led government , the incoming... | yes | 0 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.03586675971746445,
0.2800590991973877,
0.06657741963863373,
0.004245726391673088,
-0.8523492813110352,
-0.15244586765766144,
0.4266098439693451,
0.7379215955734253,
-0.5547875165939331,
-0.28923848271369934,
0.08899471163749695,
-0.09772873669862747,
-0.06258387863636017,
-0.22120562195... |
Definition: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Who was president of the USA during the American Civil War?
Output: | american civil war | 2 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.5575827360153198,
-0.020314600318670273,
-0.27959296107292175,
0.29260891675949097,
-0.6088981628417969,
-0.7316274642944336,
0.5675248503684998,
0.4579877257347107,
0.6101149320602417,
-0.03259320557117462,
-0.7305057048797607,
0.37596404552459717,
-0.3415966331958771,
-0.18519470095634... |
Part 1. Definition
In each example you will read a short sentence (or two). Then, a pronoun in the text is mentioned. Your task is to choose a referent which the mentioned pronoun refers to. You will be given two options in each case and one choice should seem much more likely to you than the other.
Part 2. Example
sen... | tom and andrew | 7 | NIv2 | task249_enhanced_wsc_pronoun_disambiguation | fs_opt | [
0.0013391263782978058,
0.5775167346000671,
0.37980222702026367,
-0.055767469108104706,
0.06939031183719635,
0.12569406628608704,
0.974326491355896,
0.5063620805740356,
0.1333865523338318,
-0.3895263671875,
-0.28173065185546875,
0.18982888758182526,
-0.6301229000091553,
0.16630057990550995,... |
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... | False | 4 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
0.2390059232711792,
0.22559602558612823,
-0.5844045281410217,
0.7565091252326965,
-0.20235973596572876,
-0.41475510597229004,
-0.09507618844509125,
0.7376779913902283,
-0.6551280617713928,
-0.0029824941884726286,
-0.48952069878578186,
-0.48145627975463867,
-0.014521467499434948,
-0.4605000... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: ਜੀ.ਵੀ ਪਲੈਖ਼ਾਨੋਵ ਦੀ 30 ਮਈ-1918 ਨੂੰ <MASK> ਵਿੱਚ ਮੌਤ ਹੋਈ। ਉਹ ਤੇ ਉਸਦੀ ਪਤਨੀ ਰੋਜ਼ਾਲੀਆ ਬੋਗਰਾਡ ਦੋਨੋਂ ਕਈ ਵਾਰ ... | ਫ਼ਿਨਲੈਂਡ | 4 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.45801180601119995,
0.5136507153511047,
-0.4648529291152954,
-0.032392460852861404,
0.38124388456344604,
-0.0474860742688179,
0.8926642537117004,
0.2506747245788574,
0.07966788113117218,
-0.017713535577058792,
-0.8599994778633118,
0.28354036808013916,
-0.30401915311813354,
0.2496708035469... |
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.
Eppure, abbiamo scoperto che erano questi gli strumenti per migliorare l'operato degli esperti.
| しかし我々が発見したのはそれが専門家の能力を更に引き出すツールだということです | 5 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.8592252731323242,
0.3075006306171417,
0.22574545443058014,
0.10329887270927429,
0.2372051477432251,
-0.46069204807281494,
0.25133562088012695,
0.21612726151943207,
0.5846527814865112,
-0.5100890398025513,
-0.6837838888168335,
0.21494227647781372,
-0.2807501554489136,
0.18187043070793152... |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Example: Question: what places in ... | Solution: what capital city of the african nation of cameroon? | 5 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.28821736574172974,
1.2634682655334473,
0.7165246605873108,
-0.8897520899772644,
-0.24672213196754456,
-0.3666880428791046,
1.5602259635925293,
0.2391507923603058,
-0.48688238859176636,
-0.36151382327079773,
-1.5241880416870117,
0.3453894257545471,
-1.0809160470962524,
0.5797315239906311,... |
Q: You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
This fcking jew wants money? I’ll... | religious hate | 7 | NIv2 | task1607_ethos_text_classification | zs_opt | [
-1.069615125656128,
0.13395939767360687,
0.284759521484375,
0.3543042242527008,
-0.9074295163154602,
-0.702464759349823,
0.9670214056968689,
0.1306469589471817,
0.6905361413955688,
0.0034227250143885612,
0.1548127830028534,
-0.10309495776891708,
-0.66732257604599,
-0.9917206764221191,
0.... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for exam... | Obscene | 1 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.4650280475616455,
0.4292943477630615,
0.8286871314048767,
0.19798800349235535,
0.38162630796432495,
-0.2685580551624298,
0.31239160895347595,
0.4253312647342682,
0.42278939485549927,
0.6786733865737915,
-0.051454655826091766,
-0.1455388367176056,
-0.1767353117465973,
-0.5210331678390503... |
Part 1. Definition
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Part 2. Example
Sentence 1: Marcus needed clothing for a business casual event. S... | a | 7 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.1854497492313385,
0.08629299700260162,
-0.3299633860588074,
-0.06490758806467056,
0.12437870353460312,
0.09899300336837769,
0.4643612205982208,
1.140882134437561,
0.31577661633491516,
0.14639128744602203,
-0.9554423689842224,
0.14888876676559448,
-0.38347285985946655,
-0.1474941521883011... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: そしてもし、窒素酸化物と酸素が見つかれば我々は完璧なE.T.を手に入れたわけです
A: | Y si observamos dióxido de nitrógeno y oxígeno, creo que tenemos al E.T. perfecto. | 4 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.6771963834762573,
0.27559894323349,
0.2909681797027588,
-0.05138827860355377,
-0.07102560997009277,
-1.1663429737091064,
0.8769917488098145,
0.5883101224899292,
0.27736610174179077,
-0.44215482473373413,
0.12715807557106018,
-0.11835837364196777,
-0.6614431142807007,
0.27234023809432983... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | No
| 3 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-1.1210628747940063,
0.11521117389202118,
0.3087664544582367,
0.6748760938644409,
-0.00748130539432168,
-0.36284011602401733,
0.5265865325927734,
0.6312963962554932,
0.09213200211524963,
0.04531550034880638,
-0.05078935623168945,
-0.14867891371250153,
-0.22929134964942932,
-0.7117377519607... |
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 from the Bible in Persian, and your task is to translate it into English.
در ابتدا، خدا آسمانها و زمین را آفرید.
Solution: In the beginning God created the hea... | Of their flesh shall ye not eat, and their carcase shall ye not touch; they are unclean to you. | 0 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.282583624124527,
1.3251760005950928,
0.018097352236509323,
0.028698105365037918,
-0.1759481430053711,
-0.09740938246250153,
0.8363807201385498,
0.43675559759140015,
0.3246985077857971,
0.24708601832389832,
-0.6876949071884155,
0.13925990462303162,
-0.37740644812583923,
0.37630495429039,... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Example: The trophy ... | Solution: deforestation | 5 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.20511874556541443,
0.7652921080589294,
-0.0372748039662838,
-0.6579653024673462,
-0.48278528451919556,
-0.8200153112411499,
0.5359468460083008,
0.5704512596130371,
-0.01699572056531906,
-0.3317062556743622,
-0.042447224259376526,
-0.08850335329771042,
-0.05030718073248863,
-0.02907394990... |
Detailed Instructions: In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Problem:Post: Sadiq Kh... | Generic | 8 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.105147123336792,
0.47564002871513367,
0.4885474145412445,
-0.5952980518341064,
0.029856529086828232,
-0.7454792261123657,
1.6486434936523438,
0.16866186261177063,
0.07350684702396393,
0.35874462127685547,
0.026318104937672615,
0.600994348526001,
-0.6456908583641052,
-0.1721891164779663,... |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | Yes. | 6 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.36656269431114197,
0.15428759157657623,
-0.3357893228530884,
0.7140007019042969,
0.016215384006500244,
-0.6707243919372559,
0.804980993270874,
0.5438868999481201,
-0.18722695112228394,
0.23854540288448334,
-0.5291413068771362,
0.15709441900253296,
-0.6928505897521973,
-0.0325417220592498... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
នាងកំពុងត្រូវបានមើលថែដោយសមាគមលោកសង្ឃមកពីព្រះវិហារវៀតណាម។
Output... | 彼女は、ベトナムの教会から来た仲間の牧師によって慰められていた。 | 1 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.010062780231237411,
0.17519861459732056,
-0.8875952363014221,
-0.22706803679466248,
0.08449669182300568,
-0.923487663269043,
0.6587437391281128,
0.27500566840171814,
-0.08914484083652496,
0.20563969016075134,
0.05660237371921539,
-0.0063314856961369514,
-0.760319709777832,
0.40785819292... |
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: Consider Input: The Prime Minister said that the Government of India is taking steps towards the empowerment of fishermen.
Output: அங்குள்ள தொழிலா... | Output: சமீபத்தில், தொழில்முனைவோரை ஊக்குவிக்கும் முத்ரா யோஜனா என்கிற திட்டம் ஆரம்பிக்கப்பட்டது. அதன்மூலம் இந்திய இளைஞர்கள் வேலை தேடும் இடத்தில் இருந்து வேலை தரும் இடத்திற்கு முன்னேற முடியும்.
| 2 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
0.18611156940460205,
0.4245034158229828,
-0.31995245814323425,
0.013588308356702328,
-0.021787824109196663,
-0.4996252954006195,
-0.4103277325630188,
0.7431473135948181,
-0.45137539505958557,
0.5353488922119141,
-0.2176210582256317,
0.22091233730316162,
-0.47150489687919617,
-0.24423529207... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Devono essere così uguali, che potresti prenderne uno dalla Nuova Zelanda e mandarlo in Canada e sarebbe immediatamente operativo.
A: | Têm que ser tão idênticas que se poderia escolher uma da Nova Zelândia e embarcá-la para o Canadá e estaria instantaneamente funcional. | 9 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.1276465654373169,
0.7595494389533997,
-0.8008409738540649,
-0.5798077583312988,
-0.2513130307197571,
-0.41090965270996094,
0.040286049246788025,
1.1745051145553589,
-0.1101800724864006,
-0.5542259216308594,
-0.6523156762123108,
0.1402823030948639,
-0.30175891518592834,
0.065785646438598... |
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 reverse the resulting ... | ct7087HAR | 0 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.06980239599943161,
0.6018485426902771,
-0.3154447078704834,
-0.29876601696014404,
-0.09807924926280975,
0.10833245515823364,
0.7739493250846863,
-0.08410365879535675,
-0.3184923827648163,
-0.2984503507614136,
-1.2938679456710815,
-0.20516614615917206,
0.03422749787569046,
-0.23058497905... |
You will be given a definition of a task first, then some input of the task.
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.
وزیراعظم نے اس موقع پر کہا کہ بھارت فرانس کے بیچ اسٹریٹجک شراکت داری صرف دو طر... | শ্রী মোদী বলেন, ভারত-ফ্রান্স কৌশলগত অংশীদারিত্বের বিষয়টি শুধুমাত্র দ্বিপাক্ষিক সম্পর্ক প্রসারের মধ্যেই সীমাবদ্ধ নেই, বরং আঞ্চলিক তথা বিশ্ব পরিস্থিতিতে শান্তি ও স্থিতিশীলতা নিশ্চিত করার ক্ষেত্রে তা এক উল্লেখযোগ্য ভূমিকা পালন করেছে। | 1 | NIv2 | task1070_pib_translation_urdu_bengali | zs_opt | [
-0.08140019327402115,
0.9015815854072571,
-0.20859356224536896,
-0.5887253880500793,
-0.23726800084114075,
-0.3783479928970337,
1.2256155014038086,
-0.04110965505242348,
0.43022722005844116,
-0.33942246437072754,
-0.7491264939308167,
0.2079245001077652,
0.07527810335159302,
-0.067450001835... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Q: Question: How lon... | Originally the script had Lancaster die in a car crash at the end after hitting a bus, but finally this was edited out in favor of a small scene of him departing by taxi which was shot on a Sunday in Paris during production of The Train (1964) | 9 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.5998145341873169,
0.1723168045282364,
-0.590602457523346,
0.051627933979034424,
0.23443257808685303,
-0.07726925611495972,
0.0008426988497376442,
0.7327449321746826,
0.0813458263874054,
0.4412824511528015,
0.1774279624223709,
-0.3112919330596924,
-0.2525547444820404,
0.19640827178955078,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a 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 p... | i want a list of inexpensive hotels in new york | 0 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.38249146938323975,
0.4084012806415558,
-0.723330020904541,
0.19702059030532837,
0.3452547788619995,
-0.09832946956157684,
0.9700496792793274,
0.2490965723991394,
0.5832457542419434,
-0.029915420338511467,
-0.11683566868305206,
-0.06010584533214569,
-0.3330315351486206,
0.3276951909065246... |
Detailed Instructions: 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... | personal | 9 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.4355190396308899,
0.26064562797546387,
0.3389265537261963,
0.4483279585838318,
-0.6580559611320496,
-0.25516989827156067,
0.926908016204834,
0.07480409741401672,
0.0700937882065773,
-0.6339130997657776,
-0.5976706743240356,
0.17790471017360687,
-0.09683068841695786,
-0.16243985295295715... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: ויש חוק עתיק האומר שאינך יכול לומר או להדפיס בפומבי את המילים מחלות מין.
Student: | その昔の法律によると性病という言葉を印刷したり公に言ったりしてはいけない | 6 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.7493981122970581,
0.11706744134426117,
0.46668726205825806,
-0.23519562184810638,
-0.3785117268562317,
0.05532429739832878,
-0.10509834438562393,
0.7300083637237549,
-0.08711734414100647,
-1.024794340133667,
-0.40416795015335083,
0.615161657333374,
-0.20334920287132263,
-0.3425891697406... |
TASK DEFINITION: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign ... | IN CD , DT JJ NN IN DT NNP NN VBG IN DT NN NN IN NNP NNP , VBD PRP$ NN NN IN WP NN .
| 8 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.4948332607746124,
0.6462947130203247,
-0.4196980893611908,
1.0288269519805908,
0.36704355478286743,
-0.1377079039812088,
0.707048773765564,
0.8297430872917175,
-0.3962366580963135,
-0.3379281163215637,
-0.08524741977453232,
0.5143947601318359,
-0.48636576533317566,
0.27206867933273315,
... |
Q: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ドイツがバイ・コロマ大統領の”変化のための協議事項”を支持するのを辞退し、女性の福祉に対してより深く考慮するように促した間、同国は欧州連合、DFID、UNIPSIL、世界銀行、... | Yes | 7 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.39116722345352173,
-0.3160524368286133,
-0.27204278111457825,
-0.3830455541610718,
0.17591451108455658,
-0.4947033226490021,
0.9084775447845459,
0.512895941734314,
-0.1951736956834793,
0.15712419152259827,
-0.4421638250350952,
-0.019464552402496338,
-1.0930157899856567,
0.32582923769950... |
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 have high commonsense plausibility, that is to have reasonable probability o... | Kết quả của việc thức dậy vào buổi sáng là một khởi đầu mới. | 4 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.3343881368637085,
0.4312193989753723,
-0.43724676966667175,
-0.5376163721084595,
-0.2746219038963318,
-0.5600501894950867,
0.3941495418548584,
1.6847631931304932,
0.010465231724083424,
-0.41252076625823975,
-1.0559570789337158,
0.30034756660461426,
-0.733966588973999,
0.18897998332977295... |
Detailed Instructions: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The... | [['28', 'HIGH_POINTS', 't. j. ford (24)'], ['28', 'DATE', 'december 23']] | 9 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.5583815574645996,
0.44328173995018005,
-0.31375283002853394,
-0.5527983903884888,
-0.606518030166626,
-0.074654221534729,
1.0384182929992676,
0.14886797964572906,
-0.23607921600341797,
-0.3430338501930237,
-0.689757227897644,
0.1675053834915161,
-0.382374107837677,
0.31309181451797485,
... |
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).
One example is below.
Q: Paragraph: Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate ch... | decreases | 9 | NIv2 | task1731_quartz_question_answering | fs_opt | [
0.15819653868675232,
0.7767055034637451,
-0.35258468985557556,
-0.1924879252910614,
-0.09948836266994476,
-0.9268667101860046,
0.5121185779571533,
0.9238131046295166,
-0.6223173141479492,
0.2828723192214966,
-0.4048917889595032,
0.2629573345184326,
-0.8059689402580261,
-0.12896277010440826... |
Detailed Instructions: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put... | [-106, -11, -25, 37, 236, -179, 41, -52, -56] | 8 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.10324813425540924,
-0.02024497650563717,
-0.49173232913017273,
-0.6523364186286926,
-0.00007945660036057234,
0.22888723015785217,
1.0150372982025146,
0.3815532326698303,
-0.07911514490842819,
0.32182466983795166,
-0.32837098836898804,
0.21277594566345215,
-0.17211318016052246,
-0.2448076... |
Detailed Instructions: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
See one example below:
Problem: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना... | अमेरिकेतील | 4 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.6589306592941284,
0.2855041027069092,
-0.24450281262397766,
-0.27266955375671387,
-0.27811160683631897,
-0.375801146030426,
-0.01771695166826248,
0.9905335903167725,
-0.30604422092437744,
-0.0393691286444664,
0.11798388510942459,
0.23225688934326172,
-0.18248657882213593,
0.0181766059249... |
Detailed Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the... | The Sumatran rhinoceros has become extinct in Malaysia, after the last of the species in the country succumbed to cancer. | 9 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.42667528986930847,
0.45517289638519287,
-0.465903103351593,
-0.9108268022537231,
-0.06410948932170868,
-0.23091264069080353,
0.10144500434398651,
0.4433048367500305,
-0.41259440779685974,
0.7300856709480286,
-0.3812303841114044,
0.6850358247756958,
-1.082746982574463,
0.5231360197067261,... |
Teacher:In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversi... | Inversion | 6 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.2270529568195343,
0.49047401547431946,
0.3137921392917633,
0.07215449213981628,
0.18979321420192719,
-0.422021746635437,
0.3386996388435364,
0.6463884115219116,
-0.10316915810108185,
0.012433618307113647,
-0.27136051654815674,
-0.5083255171775818,
-0.862684428691864,
-0.521508514881134,... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Q: bowl, plastic, glass, panel, lead
A: bowl
****
Q: foot, knee, eye, leg, ounce
A: ounce
****
Q: swim, horse, climbing, hiking, fish
A: | horse
****
| 4 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.47254589200019836,
1.071102499961853,
-0.8025369644165039,
0.13742676377296448,
0.012624231167137623,
-0.4862988591194153,
-0.09332883358001709,
-0.2896421551704407,
-0.21585293114185333,
-0.43937748670578003,
-0.005007133353501558,
0.3031960129737854,
-0.7828636765480042,
0.471826434135... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Chinese, generate a new Chinese 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 ... | 你可能会花在自行车上。 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.441575825214386,
0.5467699766159058,
-0.7366238832473755,
-0.14969678223133087,
0.18728315830230713,
0.28432387113571167,
-0.10520997643470764,
0.5582541823387146,
0.4142579734325409,
-0.01654021069407463,
-0.08426929265260696,
-0.045393165200948715,
0.08158130943775177,
0.4745687246322... |
Instructions: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Inpu... | 134 | 3 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.22994758188724518,
0.664678156375885,
-0.07488523423671722,
-0.03785945847630501,
-0.28199532628059387,
-0.3148762285709381,
0.6513837575912476,
0.2997102737426758,
0.7193018794059753,
-0.44240593910217285,
-0.20511430501937866,
-0.024412047117948532,
-0.5724427700042725,
-0.09058798849... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Q: Abstract: Half a century ago, chronic granulomatous disease (CGD) was first described as a disease fatally affecting the ability of chi... | yes | 4 | NIv2 | task1587_scifact_classification | zs_opt | [
-0.21985726058483124,
-0.11349727213382721,
-0.5038820505142212,
-0.2955292761325836,
-0.06661467999219894,
-0.9715785980224609,
0.3440726697444916,
0.6374707221984863,
0.26210132241249084,
0.5622385740280151,
-0.33315587043762207,
-0.44347941875457764,
-0.4223451018333435,
0.2807356119155... |
Teacher:In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question.
Teacher: Now, understand the problem? Solve this instance: In human anatomy, the deltoid tuberosity is a rough, triangular area on the antero lateral (... | where is the deltoid tuberosity of the humerus located | 6 | NIv2 | task519_aquamuse_question_generation | zs_opt | [
0.5504131317138672,
0.6968891620635986,
-0.38199707865715027,
-0.7896810173988342,
-0.6100655794143677,
0.13515064120292664,
0.419868141412735,
-0.12863250076770782,
0.5405920743942261,
-0.5304766893386841,
-0.8206360936164856,
0.14806953072547913,
-0.3576883375644684,
-0.07284285128116608... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Jeśli jednego dnia wyjdzie sondaż Gallupa i NBC, uwagę zwróci tylko sondaż Gallupa.
Output: | Si se revela una encuesta de Gallup en el mismo día que se revela una encuesta de la NBC la gente le dará mayor atención a la encuesta de Galluo. Ok, entendemos eso. | 1 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.8115428686141968,
0.6746201515197754,
0.05018623173236847,
0.11175321042537689,
-0.25567716360092163,
-0.7376400828361511,
0.26665669679641724,
0.5776053667068481,
0.22228190302848816,
-0.00364603940397501,
0.1084899827837944,
0.13396406173706055,
-0.12847110629081726,
-0.36801862716674... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | A man does a simple trick on his bike. | 8 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.49555355310440063,
0.7080483436584473,
0.021962609142065048,
-0.3511732220649719,
-0.09376876056194305,
-0.23698657751083374,
0.34213128685951233,
0.6949596405029297,
0.06157272309064865,
-0.5832105875015259,
-1.7945867776870728,
-0.46010738611221313,
-0.5948978662490845,
-0.12619152665... |
Definition: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Input: ... | Arnim Zola | 2 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.37921634316444397,
0.8651928901672363,
0.11367812752723694,
0.09630545973777771,
-0.6596488952636719,
0.28864163160324097,
1.21134352684021,
0.23291844129562378,
0.5433896780014038,
-0.7852979898452759,
-0.6079227328300476,
0.5323224067687988,
-0.8939250111579895,
-0.43639153242111206,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: Para comprobar isto, deseñamos varios experimentos.
A: | Para averiguarlo, hemos diseñado algunos experimentos. | 4 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.7227606773376465,
0.972256064414978,
0.29040783643722534,
-1.3709502220153809,
-0.14587298035621643,
-0.9034106731414795,
0.26438745856285095,
0.6383730173110962,
-0.04259993135929108,
-0.3472626507282257,
-0.2576534152030945,
0.23041081428527832,
-0.4124574363231659,
0.591690182685852,... |
Part 1. Definition
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Part 2. Example
Statement: ਅਮੀਯਾਹ ਸਕੌਟ ਅਸਲ ਵਿੱਚ 11 ਜਨਵਰੀ 1988 ਨੂੰ <MASK> ਸ਼ਹਿਰ ਵਿੱਚ ਇੱਕ ਵੱਖਰੇ ਨ... | ਬੰਗਾਲ | 7 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.477954626083374,
0.35690632462501526,
0.09958961606025696,
-0.03569279611110687,
-0.2960091829299927,
-0.6267153024673462,
0.3721630573272705,
0.48065292835235596,
0.42793959379196167,
0.2212682068347931,
-0.6681918501853943,
0.18085002899169922,
-0.7762428522109985,
-0.4266805052757263,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: on... | d | 0 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.6405311822891235,
-0.1150645762681961,
-0.8108674883842468,
0.37900322675704956,
-0.1448819935321808,
-0.5619257688522339,
1.1940021514892578,
1.372602939605713,
-0.5370229482650757,
0.2149612158536911,
-0.6312642693519592,
0.30383238196372986,
-0.8995437622070312,
-0.20276528596878052,
... |
Given the task definition and input, reply with output. 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... | KnaqTfllmrstFeCxnOt, agfllmrstvyvA | 5 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
-0.5351505279541016,
1.0668944120407104,
0.0013539970386773348,
-0.07441084086894989,
-0.3937758505344391,
0.4330753684043884,
0.5618760585784912,
-0.097036212682724,
-0.04614073038101196,
0.2636681795120239,
-0.6833336353302002,
-0.2767561078071594,
-0.08820024877786636,
0.214482218027114... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: و این رویه از آنچه راشل نئومی رمن انجام می دهد ، که چگونه این فضایل جایگاهی در زبان پزشکی می یاند — کاری که فرد لاسکین انجام می دهد — که معتقدم یکی از شگفت انگیز ترین پیشرفت های قرن ۲۱ است — که در ... | E esta tendência do que a Rachel Naomi Remen está a fazer, como este tipo de virtudes encontram o seu lugar no vocabulário médico - o trabalho que o Fred Luskin desenvolve - penso que sejam uns dos desenvolvimentos mais fascinantes do século XXI - que a ciência, na realidade, está, definitivamente, a tirar uma virtude ... | 9 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-1.065812110900879,
1.1020445823669434,
0.6500318050384521,
-0.6649757623672485,
-0.9917374849319458,
0.26618677377700806,
0.6506075263023376,
0.543773889541626,
0.995826780796051,
-0.9023269414901733,
-0.49813640117645264,
0.6459015607833862,
-0.37189459800720215,
0.7706336379051208,
0.... |
Detailed Instructions: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only tw... | elementary | 4 | NIv2 | task1712_poki_classification | fs_opt | [
0.3172086775302887,
0.8822039365768433,
0.4047301709651947,
-0.11821568012237549,
0.06894272565841675,
-1.0677130222320557,
0.3184972405433655,
0.6865835189819336,
0.24838557839393616,
-0.750024676322937,
-0.29501497745513916,
0.29043135046958923,
-0.2741023898124695,
-0.17220769822597504,... |
TASK DEFINITION: Given a passage with a context and an answer, 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 passag... | Is prostate-specific antigen doubling time subsequent to radical prostatectomy a predictor of outcome following salvage external beam radiation therapy : a single-centre experience?
| 8 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.6189780235290527,
0.21266481280326843,
-0.34188520908355713,
0.27568572759628296,
0.31216180324554443,
0.05453096702694893,
0.948156476020813,
1.0074458122253418,
0.07254157960414886,
0.596237063407898,
-0.3441312313079834,
0.6141594052314758,
-0.4471690058708191,
0.34636491537094116,
... |
Instructions: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must n... | It was tradition to cook in a pot rather than a pan, because the _ was considered sacrilegious. | 3 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.6604467630386353,
0.5931108593940735,
0.12688659131526947,
0.18038594722747803,
0.4715898633003235,
-0.7829878330230713,
0.44727781414985657,
1.1525578498840332,
-0.5856572985649109,
-0.5055182576179504,
-0.3672001361846924,
0.23313623666763306,
-0.31913673877716064,
-0.05113436281681061... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Example input: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works... | Answer: Soccer stadium | 3 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.24183407425880432,
0.24688145518302917,
-0.579021155834198,
-0.27801966667175293,
0.07939964532852173,
0.2015700787305832,
0.3254087567329407,
0.839020848274231,
-0.10110696405172348,
0.07002519816160202,
0.05211477726697922,
0.7113273739814758,
-0.8437119722366333,
0.3694993853569031,
... |
Detailed Instructions: 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... | Identifiable | 9 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.3477659225463867,
0.6557987928390503,
-0.27101531624794006,
-0.654752254486084,
0.10201206803321838,
0.030552178621292114,
-0.43382951617240906,
1.075737476348877,
0.5680683255195618,
0.1470620334148407,
-0.5820152759552002,
-0.3045814335346222,
-0.21079304814338684,
-0.1374765336513519... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Mary , can you help me set the table ?
Person2: S... | 0 | 5 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.028026994317770004,
1.0098731517791748,
-0.5426164269447327,
0.007559631951153278,
0.10050209611654282,
-0.4633956849575043,
0.5090497732162476,
0.3337908685207367,
0.3871619701385498,
-0.026136983186006546,
-0.18716508150100708,
-0.4608367681503296,
-0.05754102021455765,
-0.04441563040... |
You will be given a definition of a task first, then some input of the task.
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a se... | POSITIVE | 1 | NIv2 | task1414_ajgt_twitter_ar_classification | zs_opt | [
-1.2030726671218872,
-0.2626187801361084,
0.7281720042228699,
0.07293343544006348,
0.06813837587833405,
-0.6326801776885986,
0.698354959487915,
0.4360106885433197,
0.2944369912147522,
0.09883590787649155,
-0.7358387112617493,
-0.1553838551044464,
-0.17816099524497986,
-0.12185746431350708,... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Azerbaijan was a forgotten corner of the Caucuses, but now with the Baku-Tbilisi-Ceyhan pipeline into Turkey, it has rebranded itself as the frontier of the ... | אזרביג 'אן היתה פינה נידחת של חבר המדינות. אבל כעת בגלל קו הצינור באקו-טביליסי-סייהאן לתוך טורקיה, היא מיתגה את עצמה מחדש בתור החזית של המערב. | 6 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
0.3936511278152466,
0.1038786768913269,
0.3474854826927185,
0.025812838226556778,
-0.25229668617248535,
0.02464597299695015,
0.9329587817192078,
0.14626720547676086,
0.32495594024658203,
1.0797405242919922,
0.23233304917812347,
0.1559474915266037,
-0.3960078954696655,
-0.32887473702430725,... |
Detailed Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and f... | Ìjọba ìpínlẹ̀ Èkó ti ń ṣe ètò lábẹ́nú láti kọ́ ẹ̀kún ilé ìwòsán ìjọba tó wà ní ìdàgbàsókè Àmúwò-Ọdòfin. | 8 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
0.1672964245080948,
0.2921264171600342,
-0.0019496026216074824,
-0.5378960371017456,
0.5140694975852966,
-0.9105416536331177,
0.1263878494501114,
0.5414581298828125,
-0.053219690918922424,
-0.6866506338119507,
-0.3094243109226227,
0.6225103139877319,
-0.8873087763786316,
0.1630633771419525... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
[Q]: Some adjectives have ____ forms, others have four.
[A]: two
[Q]: Some tropical species have ____ or three generations per year.
[A]: two
[Q]:... | two
| 5 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.8239458799362183,
0.8672723770141602,
-0.0838528499007225,
-0.6427649259567261,
0.11440527439117432,
-0.7992019057273865,
0.9882321357727051,
0.4346083402633667,
-0.5217316150665283,
-0.1392681896686554,
0.14501319825649261,
-0.5349947214126587,
-0.7215009927749634,
-0.3950592279434204,... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Example Input: ' Just stocking some shelves.'
Example Output: Plural
Example Input: Once a week she ba... | Plural
| 3 | NIv2 | task431_senteval_object_count | fs_opt | [
-0.7560957670211792,
0.5067369341850281,
0.20357570052146912,
0.11685723811388016,
0.005279236938804388,
-0.24771103262901306,
0.6920511722564697,
0.5686198472976685,
-0.09884089231491089,
-0.10813257843255997,
-0.46415337920188904,
-0.047920700162649155,
-0.3224031329154968,
-0.4443608820... |
Q: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B.... | Why would the narrator feel rushed to do activities ? | 7 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.5109056234359741,
0.4687195122241974,
-0.03708747774362564,
-0.1620294153690338,
-0.786453127861023,
-0.3563060760498047,
0.5768479704856873,
0.6223820447921753,
-0.13514921069145203,
0.02487386018037796,
-0.2999987006187439,
0.14003992080688477,
-0.8654711246490479,
0.4005071520805359,
... |
Definition: Given a sentence in German, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: Er hat zwei Söhne: den älteren Maharana Mahendra Singh und den jüngeren Arvind Singh.
Output: | 그는 두 아들을두고 있습니다 : Maharana Mahendra Singh 장로와 젊은 Arvind Singh. | 2 | NIv2 | task802_pawsx_german_korean_translation | zs_opt | [
-0.25242626667022705,
0.34100157022476196,
-0.5188660621643066,
-0.725392758846283,
-0.45197123289108276,
0.7051616907119751,
0.9142321348190308,
0.5857235789299011,
0.6751270890235901,
-0.5389484763145447,
-0.3436766266822815,
-0.09199114143848419,
-0.873416006565094,
0.693483293056488,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classi... | (E) | 1 | NIv2 | task302_record_classification | zs_opt | [
0.47705742716789246,
0.5432536602020264,
0.5286773443222046,
-0.10929425060749054,
0.31043392419815063,
-0.11038482189178467,
0.7488374710083008,
1.0026156902313232,
0.051055967807769775,
-0.00371573306620121,
-0.30712834000587463,
1.1443853378295898,
-1.1749547719955444,
0.341771274805068... |
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.
['z', '8479', '4927', 'G', 'N', 'E', '7325', 'J', 'C', '761', '8061', 'A', 'L', '6203', '1761', '3425', 'Q', '1099', 'B'] | 42041 | 0 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.07699946314096451,
0.7959978580474854,
-0.44733044505119324,
-0.8558675050735474,
-0.07273170351982117,
-0.49988675117492676,
0.5116205811500549,
-0.8343290090560913,
-1.201282262802124,
-0.018447626382112503,
-0.7193149328231812,
0.19567549228668213,
0.19789563119411469,
-0.00842257216... |
Definition: You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
Input: Sentence: She traded them for a brown pair.
Question: W... | Brown. | 2 | NIv2 | task051_multirc_correct_answer_single_sentence | zs_opt | [
0.23700109124183655,
0.5707248449325562,
-0.797838568687439,
0.3989611268043518,
-0.21912866830825806,
-0.8789649605751038,
0.0641862004995346,
-0.2585451304912567,
0.3942298889160156,
-0.7375422716140747,
-0.5378369092941284,
0.7365869879722595,
-0.06188724935054779,
0.17199108004570007,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: While it was being called mandatory , Dupont ... | Yes | 0 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.5389776229858398,
0.3358132839202881,
0.34635964035987854,
0.09350231289863586,
0.038703154772520065,
-0.15690666437149048,
0.37528562545776367,
0.9727432727813721,
-0.23410120606422424,
0.3866824805736542,
-0.14552859961986542,
-0.15407921373844147,
-0.5664790868759155,
-0.173973158001... |
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Aujourd'hui, l'Iran annonce qu'il pourrait reprendre son ... | В то же время, важно подталкивать международные усилия по созданию правил, способных ограничить конфликт.
****
| 4 | NIv2 | task1377_newscomm_translation | fs_opt | [
-0.2016524225473404,
0.39658063650131226,
0.14278246462345123,
-0.11670999228954315,
-0.06506355851888657,
0.00039963796734809875,
0.7370009422302246,
1.0595149993896484,
0.30864277482032776,
0.4548370838165283,
-1.3180383443832397,
-0.22452862560749054,
-0.6638742089271545,
0.287007480859... |
Detailed Instructions: Given a sentence in Chinese, generate a new Chinese 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 reasona... | 你渴望在小妞的房间里 找到一个填充的贝壳 | 8 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.7061572074890137,
0.09326064586639404,
-0.34632956981658936,
-0.23273861408233643,
-0.17270757257938385,
-0.47935736179351807,
-0.014108830131590366,
0.9223531484603882,
-0.5796122550964355,
-0.17864564061164856,
-0.2405376434326172,
0.5289365649223328,
-0.259995698928833,
-0.1212718263... |
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