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 |
|---|---|---|---|---|---|---|
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | No
| 5 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.3041686415672302,
0.16650116443634033,
0.2873302400112152,
-0.33316686749458313,
0.17744985222816467,
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1.0243185758590698,
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0.1808457374572754,
0.27607131004333496,
0.6067132353782654,
-0.28060972690582275,
-0.1937558352947235,
... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and... | 3, He got out the tire jack and iron. | 4 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.14112776517868042,
0.602227509021759,
-0.35577404499053955,
0.2318727970123291,
0.21733705699443817,
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0.6921785473823547,
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0.1898031085729599,
-0.6332808136940002,
-0.12662217020988464,
-0.6289039850234985,
0.250990629196167,
... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have ... | No | 2 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.479838103055954,
-0.05124315991997719,
0.1706731617450714,
0.032749295234680176,
-0.27871015667915344,
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0.749928891658783,
0.8728141784667969,
-0.8402880430221558,
0.017870385199785233,
-0.28246617317199707,
-0.5628896951675415,
-0.631977915763855,
-0.0600151605904102... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Neste momento, não vou entrar nisso.
Student: | でも今は説明いたしません | 6 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.14560002088546753,
0.11454108357429504,
0.13845127820968628,
-0.12068584561347961,
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0.4949456751346588,
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Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Part 2. Example
وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Answer: Penso che abbastanza presto vedrete pazienti curati con le cellule st... | Non conosciamo, invece, i pensieri delle persone, della gente comune. | 7 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.40864139795303345,
0.7668988704681396,
-0.4359806776046753,
-0.5577676296234131,
-0.4981174170970917,
-0.2053765207529068,
0.9248334169387817,
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-0.8198904395103455,
0.2939881682395935,
-0.784207820892334,
0.17281682789325714,... |
instruction:
You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
question:
Elizabeth went to the salon and had 0.375 inch of hair cut off . The... | 64
| 9 | NIv2 | task865_mawps_addsub_question_answering | fs_opt | [
0.04377363994717598,
0.47045356035232544,
0.02296508476138115,
-0.1961142122745514,
0.15170897543430328,
-0.3384881019592285,
0.8683832883834839,
-0.014917155727744102,
-0.19121605157852173,
0.18509219586849213,
-0.40231770277023315,
-0.082852803170681,
-0.40501537919044495,
-0.47556868195... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotio... | fear,No emotion,No emotion | 2 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.5768237709999084,
0.07203550636768341,
0.2784600257873535,
-0.20838883519172668,
0.16421759128570557,
0.05089043453335762,
0.6912642121315002,
-0.5618221163749695,
0.2543458938598633,
-0.41836845874786377,
-0.08837991952896118,
-0.3593083620071411,
-0.23483294248580933,
0.85644680261611... |
Definition: 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 introduced. Avoid u... | A woman is drawing on the ground. | 2 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.1855333149433136,
0.673498272895813,
-0.0431368425488472,
-0.3092542290687561,
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0.471182256937027,
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-1.2243921756744385,
-0.5564430356025696,
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0.59... |
Detailed Instructions: This task is about translating a given English language sentence to French.
Q: Please. I said to give up now!
A: | S'il te plait. je t'ai dit de laisser tomber maintenant ! | 9 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.36788928508758545,
0.8848135471343994,
0.30574071407318115,
-0.9802744388580322,
-0.3105955123901367,
-0.7777200937271118,
0.31209754943847656,
0.24235448241233826,
1.0814813375473022,
-0.20698484778404236,
0.30984002351760864,
0.011737605556845665,
0.09549641609191895,
0.30338862538337... |
Given the task definition and input, reply with output. Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B"... | clamp | 5 | NIv2 | task1156_bard_analogical_reasoning_tools | zs_opt | [
-0.054989270865917206,
0.9385968446731567,
-0.9338116645812988,
0.6236486434936523,
-0.6032792329788208,
0.11279662698507309,
0.8334616422653198,
0.5746877193450928,
-0.06163349747657776,
-0.18950268626213074,
-0.2607634663581848,
0.056210365146398544,
0.18932250142097473,
0.17591758072376... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to French.
When you graph the number of potential employees versus the number of jobs in the country, you see the gap gets bigger and bigger over time, and then, during the Great Recession, it opene... | Lorsqu'on réalise un graphique sur le nombre potentiel d'employés et le nombre d'emplois disponibles nationalement, on peut observer le fossé qui se creuse de plus en plus avec le temps, et pendant la crise économique, il s'est considérablement élargi. | 5 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.47550320625305176,
0.8223860263824463,
0.09492124617099762,
0.0065514505840837955,
-0.08799442648887634,
0.6069495677947998,
-0.4585961103439331,
0.5227925777435303,
0.39154988527297974,
0.12984001636505127,
-0.5522891879081726,
-0.15404333174228668,
0.4474731683731079,
-0.1276177465915... |
Part 1. Definition
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Part 2. Example
Review: These are junk! Both bulbs have burned out within a two month period!! I cannot belie... | False | 7 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
0.0005677398294210434,
-0.009713123552501202,
-0.09887996315956116,
0.13349047303199768,
-0.18585002422332764,
-0.40832239389419556,
0.959437370300293,
0.27308934926986694,
0.2832038998603821,
0.04307239502668381,
-0.5362342596054077,
0.45693328976631165,
-0.28076764941215515,
-0.287960112... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.14810848236083984,
0.1843363344669342,
0.261065810918808,
0.27790504693984985,
-0.28652751445770264,
-0.4340073764324188,
1.000316858291626,
0.4194711446762085,
-0.5026683211326599,
-0.141889750957489,
-0.17254385352134705,
-0.620042622089386,
-0.37161335349082947,
0.30628523230552673,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
[Q]: و همچنین ما از هوای بیرون نمونه برداری کردیم.
[A]: 私たちは外の空気も採取しました
[Q]: شما می دانید چه زمانی باید منتظر آن ها باشید.
[A]: 私達はいつ彼らが来るのか把握できます
[Q]: در مقام یک لغت شناس اصل کارم ، تلاش برای ارایه تمام لغات ممکن در ... | 辞書編纂者の仕事は可能な限りあらゆる言葉を辞書に載せることです
| 5 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.9181194305419922,
0.6572866439819336,
-0.8502798080444336,
-0.18893811106681824,
-0.9024848937988281,
-0.9678328037261963,
0.6407966613769531,
-0.0421149879693985,
0.3213180601596832,
-0.2988308072090149,
-1.0468175411224365,
0.2802058458328247,
-0.17868740856647491,
0.6496610641479492,... |
Given the task definition, example input & output, solve the new input case.
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the give... | In contrast, a political opponent may wish to gain access to secret content and publish that content without you knowing. | 1 | NIv2 | task1620_menyo20k-mt_yo_en_translation | fs_opt | [
-0.19624510407447815,
0.4059560298919678,
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0.3963578939437866,
0.5649013519287109,
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0.08318185806274414,
0.8142385482788086,
-0.01680721342563629,
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0.032246582210063934,
0.4076043665409088,
-0.35285231471061707,
0.0755884498357... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
هي عبارة عن نوع جديد من المدارس و التي ستغير كثيرا من تفكيرنا التقليدي حول الهدف من المدارس و كيفية عملها | Una idea acerca de un nuevo modelo de escuela, que produce un cambio en nuestra manera habitual de pensar en relación a las metas y al cómo funcionan las escuelas. | 0 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.8968876600265503,
0.36195504665374756,
0.3111755847930908,
-0.5639740228652954,
-0.28428125381469727,
0.29732662439346313,
0.430713027715683,
0.8918246030807495,
0.9602690935134888,
-1.2028379440307617,
-0.4282015562057495,
-0.30047887563705444,
-0.39891737699508667,
0.18358001112937927... |
Q: In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a nega... | -94.204 | 7 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.3973061442375183,
0.014353117905557156,
-0.013763992115855217,
0.4510745406150818,
0.202488511800766,
-0.6718230843544006,
0.6137266159057617,
1.0920042991638184,
-0.14565882086753845,
0.11978649348020554,
-0.4759441614151001,
-0.03507617115974426,
0.1338636726140976,
-0.149673193693161,... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um plane... | And in these years, I met all kinds people like, for instance, farmers and butchers, which seems logical. | 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.014012791216373444,
0.14710411429405212,
0.3488473892211914,
-0.662566602230072,
0.07660534977912903,
-1.0398192405700684,
-0.6271488070487976,
0.507790207862854,
0.3949878513813019,
-0.1542813628911972,
-0.2801854610443115,
0.3909938931465149,
-0.6206395626068115,
-0.43961381912231445,... |
You will be given a definition of a task first, then some input of the task.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that partic... | No emotion,No emotion,No emotion,No emotion | 1 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.620604395866394,
0.09506954252719879,
-0.03922007232904434,
-0.30995604395866394,
0.17877961695194244,
0.2496931403875351,
0.7161510586738586,
-0.14443832635879517,
-0.2053203284740448,
-0.46187078952789307,
0.2864221930503845,
-0.22343620657920837,
-0.28752559423446655,
0.5504775643348... |
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 passage. Avoid creating... | Are pregnancy-associated plasma protein a levels decreased in obstetric cholestasis? | 4 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.8274337649345398,
0.19652453064918518,
-1.1212546825408936,
-0.3766327500343323,
0.13836565613746643,
-0.06753292679786682,
-0.026841159909963608,
1.1561071872711182,
0.5885470509529114,
0.11688043177127838,
-1.49433434009552,
0.003712451085448265,
0.003556055948138237,
-0.27501848340034... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the foll... | 2, I never prepared and only new the very basics. | 0 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
0.012451685033738613,
0.6444453001022339,
-0.18490949273109436,
-0.18750911951065063,
0.8930964469909668,
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0.952313244342804,
1.08742094039917,
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0.08781620860099792,
-0.505216121673584,
-0.3454999029636383,
-0.24062907695770264,
0.4125198721885681,
... |
Given the task definition and input, reply with output. 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 grammatica... | ['All', 'the', 'parabolic', 'mirror', 'examples', "we've", 'been', 'doing', 'so', 'far', 'have', 'been', 'concave.', 'And', 'that', 'just', 'means', 'and', 'you', 'might', 'know', 'already', 'that', 'what', 'concave', 'means,', 'but', 'just', 'to', 'make', 'it', 'clear', 'they', 'were', 'we', 'were', 'kind', 'of', 'the... | 5 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.5128370523452759,
0.3820401430130005,
0.4282795786857605,
-0.008187927305698395,
0.59461510181427,
-0.5303291082382202,
-0.06773145496845245,
1.0170366764068604,
-0.14812882244586945,
0.1773231327533722,
-0.12351749837398529,
0.035946160554885864,
-0.4601653218269348,
-0.1697046160697937... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Engl... | Yes | 1 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.018028462305665016,
-0.19352084398269653,
0.19420179724693298,
0.5429162979125977,
0.4889150857925415,
-0.8313789367675781,
-0.030654344707727432,
0.7758963108062744,
-0.7745691537857056,
-0.29135608673095703,
-0.33455491065979004,
0.44112008810043335,
0.26569050550460815,
0.32449108362... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contain... | Obscene | 8 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.5337717533111572,
0.2515762746334076,
0.7020280361175537,
0.8451098203659058,
0.35847824811935425,
-0.4063332676887512,
-0.05845970660448074,
0.46935027837753296,
0.008711021393537521,
0.6539684534072876,
0.18033260107040405,
0.24408921599388123,
-0.4535641670227051,
-1.139782428741455,... |
instruction:
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
question:
7514... | 9623
| 9 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.2463841289281845,
0.5702126622200012,
-0.305690735578537,
-0.10022682696580887,
-0.6604822278022766,
-0.16314958035945892,
0.6639232635498047,
0.8830925226211548,
0.1947062462568283,
-0.32576847076416016,
-1.2747498750686646,
-0.5317838788032532,
-0.42394009232521057,
0.6565293669700623... |
Part 1. Definition
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Part 2. Example
Paragraph: The sever... | False | 7 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.6449822187423706,
0.20471209287643433,
-0.5235550403594971,
0.19877839088439941,
0.3976571559906006,
-0.11795845627784729,
0.722663164138794,
1.0159392356872559,
-0.1928601861000061,
0.8976249694824219,
-0.31308484077453613,
0.5933785438537598,
-0.116120845079422,
0.45026955008506775,
... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: a student chose a number , multiplied it by 6 , then subtracted 138 from the result and got 102 . what was the number he chose ?
Options: a... | a | 9 | NIv2 | task1420_mathqa_general | zs_opt | [
0.7480314373970032,
0.32435664534568787,
0.1933891475200653,
-0.6768443584442139,
-0.05936036258935928,
-0.21412937343120575,
0.9415654540061951,
0.7343169450759888,
-0.5729759931564331,
0.048399418592453,
-0.32408812642097473,
0.20722892880439758,
-0.3980233669281006,
-0.5293993949890137,... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
It's hard to believe an "action" packed Jet Li movie could be so boring, but this was transcendant trash. The plot is an amalgam of other Hong Kong chopsock... | negative
| 0 | NIv2 | task284_imdb_classification | fs_opt | [
0.06789200007915497,
0.884745717048645,
-0.9866565465927124,
0.46261709928512573,
0.4873603880405426,
-0.494652658700943,
1.0321683883666992,
0.7784169912338257,
-0.24222001433372498,
0.2011134922504425,
-0.7986407279968262,
0.30584561824798584,
-0.23656074702739716,
-0.07857755571603775,
... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Input: Consider Input: Category: THE FEMALE EQUIVALENT
Clue: The Northland College LumberJac... | Output: jack lalaine
| 2 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.8954883813858032,
0.8184306025505066,
-0.49414655566215515,
-0.41889429092407227,
0.08113531768321991,
-0.277951717376709,
0.5957120060920715,
-0.07249923050403595,
0.603804349899292,
0.24806749820709229,
-0.5528193116188049,
0.5885473489761353,
-1.0556367635726929,
0.03415749967098236,... |
instruction:
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event... | No
| 9 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
-0.033707063645124435,
-0.1411665380001068,
0.24432244896888733,
-0.012301590293645859,
-0.4799449145793915,
-1.1399075984954834,
1.4641594886779785,
0.8762945532798767,
-0.5172246098518372,
-0.11650378257036209,
-0.20618325471878052,
0.12320759147405624,
-1.2467811107635498,
0.20519763231... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: And I'd say that it deserves, in the spirit of Wade Davis' talk, to be at least put up there with these wonderful creation stories of the peoples of the high Andes and the frozen north.
A: E diría que se merece, coma ... | OS: Ben, non me molestan máis que o meu acúfeno, - o pitido do oido- que ignoro.
****
| 4 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
0.4134898781776428,
-0.37826159596443176,
0.019664589315652847,
-0.2099616527557373,
0.17354761064052582,
-1.4457907676696777,
0.5680432319641113,
0.9324489831924438,
-0.3017251789569855,
-0.08270461857318878,
-0.12808984518051147,
0.13994252681732178,
-0.5426997542381287,
0.32148230075836... |
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... | Sean has the flu >Causes/Enables> Sean stays home
| 7 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.49269258975982666,
0.4900836944580078,
-0.017302323132753372,
0.0143553102388978,
0.21498695015907288,
-0.9382500648498535,
0.563357949256897,
1.0836572647094727,
-0.7997651696205139,
0.06797841191291809,
-0.15910671651363373,
-0.24967265129089355,
0.03571656718850136,
-0.085373327136039... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2:... | Kate was not pleased by this surprise. | 6 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.36843258142471313,
0.6095559597015381,
-0.012425553053617477,
-0.11328767240047455,
-0.0779707059264183,
0.44600263237953186,
0.8315945863723755,
0.20539253950119019,
-0.1686083972454071,
0.13964596390724182,
-0.7285213470458984,
0.005414210259914398,
-0.07102201879024506,
0.48052448034... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Q: From €19.85 EUR €27.79 EUR
A: | నుండి € 9 EUR € 9 EUR | 9 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.4504127502441406,
0.42742156982421875,
0.15213114023208618,
0.31978195905685425,
0.8598073720932007,
-0.46847063302993774,
-0.818123459815979,
0.2607247829437256,
0.10348440706729889,
-0.6167447566986084,
0.4349394738674164,
0.6409095525741577,
-0.13956701755523682,
-0.4405938386917114,... |
TASK DEFINITION: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: HSＵの国家秘書官であるキャシー・ジャクソンは、病院が検査をしたり治療を管理したりすることができないで、集中治療患者がニューサウスウェールズ、タスマニアとサウスオーストラリアに避難しなければならないあいだ入院ができなくなると言った。
SO... | អង្គការឃ្លាំមើលសភាតំណាងរាស្រ្ដសហរដ្ឋអាមេរិចឯករាជ្យនិងអព្យាក្រិត ការិយាល័យរដ្ឋាភិបាលទទួលខុសត្រូវ(GAO)បានហៅការសម្រេចចិត្ដរបស់រដ្ឋបាលអាហារនិងថ្នាំមិនអនុញ្ញាតចំពោះការលក់លួចលាក់(OTC)នៃថ្នាំពន្យាកំណើត សង្រ្គោះបន្ទាន់ "មិនធម្មតា។"
| 8 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.3912465572357178,
-0.7702525854110718,
-0.21843017637729645,
0.028577912598848343,
0.41081199049949646,
0.2907275855541229,
0.27310359477996826,
-0.15574538707733154,
-0.2847793698310852,
-0.13235723972320557,
-0.678727388381958,
0.5088894367218018,
-0.10511407256126404,
0.32753816246986... |
Detailed Instructions: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the ... | When did Ralph Roberts get into the cable TV business? | 8 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
1.0509490966796875,
0.2875184416770935,
-0.30011430382728577,
-0.1410050392150879,
0.5567132234573364,
1.5413601398468018,
0.06835906207561493,
0.36985304951667786,
-0.3910970687866211,
0.4972809851169586,
0.1910834163427353,
-0.23622483015060425,
-0.8869460225105286,
-0.5339908599853516,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Let me give you an example: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
The answer to this example can be: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית ... | נסו לחשוב על מדינת רוב מוסלמי אחרת שאפשר לומר עליה את כל זאת. | 8 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.6808677315711975,
0.5846928358078003,
0.15376271307468414,
-0.4446136951446533,
-0.2286110818386078,
0.1378287672996521,
0.9322034120559692,
-0.12876611948013306,
0.35129261016845703,
-0.5849615931510925,
-1.3683769702911377,
-0.17187508940696716,
-0.7619554400444031,
0.2887693047523498... |
Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Input: store, work, doctor, auto shop, home, bus stop
Output: | when your car is in the repair shop, name a kind of place you ask your neighbor to drive you. | 3 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.2768075466156006,
0.08442621678113937,
-0.6610394716262817,
-0.18407931923866272,
0.4598391652107239,
-0.42139872908592224,
-0.6597877740859985,
-0.26464876532554626,
1.0465766191482544,
0.016786471009254456,
-0.09139613807201385,
0.47098103165626526,
0.5733959078788757,
-1.0260506868362... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
(Risas) Vistes a cara de Lenny? | (خنده حضار) چهره لنی را دیدید ؟ | 0 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.6520718932151794,
1.7211878299713135,
0.37879812717437744,
-0.939361572265625,
-0.7949948310852051,
0.1815202832221985,
-0.21190989017486572,
0.2935122549533844,
0.29227808117866516,
-0.12302152812480927,
-0.437054306268692,
0.5439527034759521,
-0.20739737153053284,
0.7158587574958801,
... |
Detailed Instructions: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the pass... | Gender | 9 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.4383244514465332,
0.7480729818344116,
-0.4795681834220886,
0.528978168964386,
-0.2870970368385315,
-0.017831925302743912,
0.9970041513442993,
0.655891478061676,
0.530516505241394,
-0.06563985347747803,
-0.7709536552429199,
-0.10365016758441925,
-0.39549756050109863,
-0.3335568904876709,... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
One example: The girls continue to speak with one another while the girl knits. They
Solution is here: put the bars around while speaking and play.
Explanation: This is incorrect as the gi... | cringes the piercing mode before talking again. | 6 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
-0.23363249003887177,
1.092050313949585,
-0.5111727714538574,
0.2345549762248993,
0.033469442278146744,
-0.2521435618400574,
-0.6075311303138733,
0.4344403147697449,
-0.16108083724975586,
0.48764002323150635,
-0.26049208641052246,
0.026293661445379257,
0.03673236444592476,
-0.3746509552001... |
Detailed Instructions: 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 s... | case A. | 4 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.3865138292312622,
0.5184793472290039,
-0.18427208065986633,
-0.5590769052505493,
0.005323725752532482,
-0.7610816955566406,
0.3166019320487976,
1.0449309349060059,
-0.35212576389312744,
0.3544018566608429,
-0.40522629022598267,
0.3983037769794464,
-0.6002192497253418,
0.19390273094177246... |
Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
Example: Review: I stayed at the Hilton Chicago for my cousins wedding. The service was impeccable. Not only was the staff attentive, they were... | Solution: true | 5 | NIv2 | task903_deceptive_opinion_spam_classification | fs_opt | [
-0.04647849500179291,
-0.030950220301747322,
-0.5224847793579102,
0.48751986026763916,
0.17515011131763458,
-0.8413411378860474,
0.3786700963973999,
0.9138962030410767,
0.01210739929229021,
-0.2395658791065216,
-0.022004220634698868,
0.17455530166625977,
-0.5232829451560974,
0.003441858105... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Gå hem och säg: De normerna har vi hittills inte bekymrat oss om. | Just you go home and say: " we have not concerned ourselves with standards to date" . | 0 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.20015451312065125,
0.9911850690841675,
0.41969919204711914,
-0.5025802254676819,
0.4140463173389435,
-0.21725109219551086,
0.768871009349823,
0.20973233878612518,
-0.03792266547679901,
0.05388496443629265,
-0.447919100522995,
1.1500462293624878,
-1.0661463737487793,
-0.5025749206542969,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a date in "mm/dd/yyyy" format. You need to check if the date is valid or not. Return 1 if it is valid, else return 0. A date is valid is the components month("mm"), day("dd") and year("yyyy") are all valid individua... | 0 | 1 | NIv2 | task1403_check_validity_date_mmddyyyy | fs_opt | [
-0.2805359959602356,
0.8711656928062439,
-0.42755720019340515,
0.19783613085746765,
0.7266696691513062,
-1.2306863069534302,
-0.10511504858732224,
0.816445529460907,
-0.342305451631546,
0.1293160617351532,
-0.27850037813186646,
0.25216200947761536,
0.11100412905216217,
-0.2744344472885132,... |
Q: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Did not assemble properly. Screw holes do not align making stool unstable. Disassembling to send back - and injured myself- put a bruise on my face due to leg being jammed! Returns are the worst. This one’s... | Doesn’t assemble properly. Good-looking otherwise. | 7 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.4409983456134796,
1.0280489921569824,
-0.3963891267776489,
-0.5635251998901367,
0.008780840784311295,
-0.05737007409334183,
0.3884698748588562,
0.2946787476539612,
-0.3316948413848877,
0.5941710472106934,
0.4214931130409241,
0.6500533223152161,
-0.19347068667411804,
-0.04490220546722412,... |
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.
rien de piquant chez ce hérisson . Déjà que je me méfiais de la mode tant vestimentaire qu... | POS
| 0 | NIv2 | task482_cls_french_books_classification | fs_opt | [
-0.4539676904678345,
0.18188634514808655,
-0.31910091638565063,
-0.28511759638786316,
0.33716845512390137,
-0.3235490620136261,
1.1377898454666138,
0.23273643851280212,
0.16123712062835693,
0.5876902937889099,
-0.9119729995727539,
0.09170077741146088,
0.01598310098052025,
0.207628861069679... |
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.
Ex Input:
[-44, 54]
Ex Output:
[-44]
Ex Input:
[10, -80, 6, -95, -38, -9... | [1, -71, 79, 53, -4, -74, 88]
| 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.22570905089378357,
-0.17786696553230286,
-0.8319482803344727,
-0.2842814028263092,
0.250855952501297,
0.37984544038772583,
0.9063128232955933,
0.4979705810546875,
-0.3691478669643402,
0.0507783442735672,
-0.7774825096130371,
0.24662868678569794,
0.008730252273380756,
-0.5566849708557129... |
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 two lists A,B. Find the longest common subsequence in the lists A and B.
[5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Solution: 8297, b
Why? H... | 2393, 1117, I, 537, k, Z, 3097, 3089, T, 5673, 5027, 5609, 2309, 8371, x, 981, l, r, L, x, 149, w, 8557, 4969, A, 3103, a | 0 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
0.05230502784252167,
-0.15989519655704498,
-0.5015255212783813,
-0.3763611912727356,
0.14859703183174133,
-0.4349091351032257,
0.565151572227478,
0.9958184957504272,
-0.8355703949928284,
0.23336461186408997,
-0.4966312646865845,
0.06762348115444183,
0.3460808992385864,
0.419274240732193,
... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Sovi... | Solution: commonly thought | 5 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.7589678764343262,
0.417711466550827,
-0.7821636199951172,
0.054417986422777176,
-0.4596886932849884,
0.6266000866889954,
0.45688509941101074,
1.5590665340423584,
0.48177412152290344,
0.16915838420391083,
-0.388612300157547,
0.22216054797172546,
-0.7638565301895142,
-0.036202553659677505,... |
Q: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | a | 7 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.02477112226188183,
0.28017401695251465,
0.7304593920707703,
0.05602577328681946,
0.22586742043495178,
-0.028483454138040543,
0.6535884737968445,
0.8866260051727295,
0.11079154908657074,
0.5292616486549377,
-0.8353034257888794,
-0.1801910400390625,
-0.3106461465358734,
-0.566860675811767... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אם תביטו במילה "" גאולה "" בתנ "" ך — השימוש הנוצרי שאנחנו מכירים, הצלת נפשות, האנשים הולכים לגן עדן — זה למעשה כניסה מאוחרת.
Output: | Si analizan la palabra "" salvación "" en la Biblia, la acepción cristiana que nos es familiar: el salvar almas, que las personas vayan al cielo... esa acepción es tardía. | 1 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.3210777044296265,
0.6735734343528748,
0.24376176297664642,
-0.50445556640625,
-0.8396642208099365,
-0.3397417366504669,
0.728524923324585,
0.18293514847755432,
0.3256089687347412,
-0.5714514255523682,
-0.38332420587539673,
-0.0035309982486069202,
-0.6122584939002991,
0.1026896983385086,... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two... | Not paraphrase | 1 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
0.3455237150192261,
0.8297597169876099,
-0.3731890022754669,
-0.14126545190811157,
0.057142265141010284,
-0.08133585005998611,
1.4032483100891113,
0.2615211009979248,
0.4753783345222473,
-0.8174199461936951,
-0.09166426956653595,
0.18267874419689178,
-0.9005265831947327,
0.4891610741615295... |
Instructions: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Input: At this the bride is seated on a pedesta... | English | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.15387645363807678,
0.7767959833145142,
-0.001785197528079152,
0.29319918155670166,
-0.16354764997959137,
-0.11333999782800674,
0.07237870991230011,
0.3017401099205017,
0.015268372371792793,
-0.48232170939445496,
0.03344385698437691,
-0.07161788642406464,
0.14387482404708862,
0.172573506... |
Q: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Which actress, who died in 1962, starred in the films Some Like It Hot and Bus Stop?
A: | bus stop | 7 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.831108808517456,
0.8827195167541504,
-0.398963987827301,
0.8877876996994019,
-0.0637449100613594,
-0.3876660466194153,
-0.19377151131629944,
0.5186328887939453,
0.37679994106292725,
-0.18205596506595612,
0.6761841177940369,
-0.6886547803878784,
-0.07203970849514008,
0.312804639339447,
... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
[EX Q]: Topic: We should prohibit women in combat<sep>Argument: We should not ... | False
| 6 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.014680896885693073,
0.2805010676383972,
-0.7587435245513916,
-0.003810976864770055,
-0.07452927529811859,
-0.3866097927093506,
0.3067936301231384,
1.1697208881378174,
0.030167315155267715,
0.1577783077955246,
-0.6758047342300415,
0.16620929539203644,
-0.25796839594841003,
-0.399671763181... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example Input: Comment: Remember when Assange wa... | Non-threat
| 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.5417773127555847,
0.3555533289909363,
0.4450575113296509,
0.5498031377792358,
0.373116672039032,
-0.6659917831420898,
0.7730873823165894,
0.9793655872344971,
0.07074590772390366,
0.5483134388923645,
0.35815298557281494,
0.24940040707588196,
-0.44409388303756714,
-0.9283746480941772,
0... |
Definition: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account ok każdy wierzy w to co chce.Pozdro , Question: Does the tweet contain cyberbullying (harmful) content?
Output: | No | 2 | NIv2 | task839_cdt_classification | zs_opt | [
-0.9498003125190735,
1.298572301864624,
0.4013586640357971,
0.6393055319786072,
-0.6291018724441528,
-0.7978792190551758,
0.8809048533439636,
-0.8697218894958496,
0.12164260447025299,
0.238843634724617,
-0.14759273827075958,
0.0845782682299614,
-0.5718826651573181,
-0.5464088320732117,
0... |
Q: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
PersonX forms PersonY organization
A: | to create a new business | 7 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.2083245813846588,
0.4937087893486023,
0.1379885971546173,
-0.3704783320426941,
-0.468345582485199,
-1.1256734132766724,
0.5423424243927002,
0.2504487931728363,
0.4577348232269287,
0.05272775515913963,
-0.31823667883872986,
-0.18974336981773376,
-0.6139405965805054,
0.3300904631614685,
... |
Part 1. Definition
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sent... | some of older trees are and reach feet in height . | 7 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.3984653949737549,
0.3885309100151062,
-0.5316336750984192,
-0.494082510471344,
-0.0841185450553894,
-0.5394487380981445,
0.4782523512840271,
0.37970295548439026,
0.4162346124649048,
-0.4987068772315979,
-0.6178181171417236,
0.5195072889328003,
-0.5798183679580688,
0.11105524748563766,
... |
Part 1. Definition
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.
Part 2. Example
អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្... | アルペンスキーで最も人気があるスイスに言及しながら、「私達、スイスが行く道は、単に山にだけではなく、海にあることを発見しました」と。 | 7 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.618827223777771,
0.6777177453041077,
-0.7551733255386353,
0.07336835563182831,
-0.14222723245620728,
-0.6210883855819702,
0.5319955348968506,
0.43748629093170166,
0.04503945633769035,
-0.533394455909729,
-0.5397370457649231,
0.7013687491416931,
-0.8361567854881287,
0.5462855100631714,
... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Example: PPdQTlHHTJEe, DydQTlHHVnmlLu
Example solution: dQTlHH
Example explanation: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'.
Problem: DQVkAbWTTPho... | Solution: WTTPho | 5 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.13658618927001953,
1.495581865310669,
-0.4445067048072815,
-0.6765570640563965,
-0.5068806409835815,
-1.0270729064941406,
0.5901217460632324,
-0.49786514043807983,
0.05249108001589775,
-0.3215895891189575,
-0.6708213090896606,
-0.4719012975692749,
-0.1579076051712036,
0.22790393233299255... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Three men stand on a patio near a red and green motorcycle parked next to a black motorcycle.
Output: | ત્રણ પુરુષો કાળા મોટરસાઇકલની આગળ પાર્ક કરેલી લાલ અને લીલા મોટરસાઇકલ નજીક પેશિયો પર ઊભા છે. | 1 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.011510759592056274,
0.196773499250412,
-0.11091285943984985,
-0.6784998178482056,
-0.1811930537223816,
0.04035065323114395,
0.14896324276924133,
-0.18667975068092346,
0.7534001469612122,
-0.2635835111141205,
-0.7377024292945862,
0.1438496708869934,
-0.28500300645828247,
-0.2390899658203... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | CNN | 4 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.4889304041862488,
0.16400578618049622,
0.7680917978286743,
-0.8739258050918579,
0.11671853810548782,
-0.3019808828830719,
0.054922252893447876,
0.019728492945432663,
-0.2676652669906616,
-0.2862887978553772,
-0.14847135543823242,
-0.0410580113530159,
-1.3976253271102905,
0.0570783317089... |
Given the task definition and input, reply with output. In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two cl... | geopolitical | 5 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-0.6603975892066956,
0.20798452198505402,
0.39869987964630127,
0.16446664929389954,
-0.4209532141685486,
-0.5970833897590637,
0.5524542331695557,
0.2962329387664795,
0.19339364767074585,
0.12485236674547195,
-0.7923509478569031,
0.2618865966796875,
-0.47780945897102356,
-0.2299540340900421... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
[Q]: We're even doing this on purpose.
[A]: ما حتا بطور عمدی هم در بسیاری غذاهامون وارد می کنیم.
[Q]: You can't get rid of waste.
[A]: نمی تونید از شر زباله خلاص شید.
[Q]: This answer took seven minutes, and really g... | این پاسخ هفت دقیقه وقت برد ، و واقعا به من بینشی داد از اینکه کل این سخنرانی به راستی چه عمل سخاوتمندانه ای برای تد بوده است.
| 5 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.3190576434135437,
1.1001231670379639,
0.4500269591808319,
0.12897144258022308,
-0.5441151857376099,
-0.2612243890762329,
0.3879043459892273,
0.2907277047634125,
0.27071502804756165,
-0.14993958175182343,
0.0635189339518547,
0.5222072005271912,
-0.7561544179916382,
0.2650766968727112,
... |
Given the task definition and input, reply with output. In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input lis... | [0, -96, -8, -5170176, -1872, 644, -24, 0, 80, -192] | 5 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.44573894143104553,
0.657045841217041,
-0.2921903729438782,
-0.02089354768395424,
-0.04830627143383026,
-0.05883415788412094,
1.1389315128326416,
0.1627712845802307,
0.020316097885370255,
-0.3623427748680115,
-0.7013059854507446,
0.25271204113960266,
-0.6294825673103333,
-0.2753039300441... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
[Q]: 1/2 c. salad oil, 1 c. sugar, 1/2 c. molasses, 1/2 c. milk, 3 c. flour, 1 tsp. baking soda, 1/2 tsp. salt, 1 tsp. cinnamon, 3/4 c. raisins and walnuts
... | pork loin, salt, pepper, apple cider, rosemary, dried cherries, cornstarch
| 5 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.07287268340587616,
0.47669774293899536,
-0.06709921360015869,
0.5018396377563477,
-0.333723783493042,
0.30734604597091675,
0.9811238050460815,
0.9296404123306274,
-0.04646503925323486,
-0.019465386867523193,
0.44473153352737427,
-0.029415039345622063,
-0.9169859886169434,
-0.418776601552... |
You will be given a definition of a task first, then some input of the task.
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... | qZeegilmmnorstvwwwyrMwFhZvmwqg, pzWdUXJdPdZHCymieegilmmnorstvwwwyQTMsAnstwgodNoet | 1 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
-0.26313281059265137,
0.8988749384880066,
-0.3582703471183777,
-0.10020015388727188,
0.029657498002052307,
0.013504957780241966,
0.5206331014633179,
-0.29119259119033813,
0.040303461253643036,
0.09680088609457016,
-0.5994412899017334,
-0.6589077711105347,
0.389816015958786,
-0.243358761072... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disea... | AmED consumption in the past month is robustly associated with problematic alcohol consumption. The present study describes harmful outcomes associated with AmED consumption, and extends the literature on the combined effects of alcohol and energy drinks on young adult risk behaviors. Further research needs to address ... | 1 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.021321430802345276,
0.6612589955329895,
-0.4361920952796936,
-0.38262563943862915,
0.6091190576553345,
-0.16925513744354248,
0.30540668964385986,
0.6645991802215576,
-0.14361077547073364,
0.17803099751472473,
-0.20662403106689453,
0.015050923451781273,
-0.8017096519470215,
0.215459123253... |
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Prob... | 13933 | 8 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.053864736109972,
0.8472294211387634,
-0.29444053769111633,
0.0775170624256134,
-0.5361072421073914,
-0.019728349521756172,
0.7766544818878174,
0.9374018907546997,
0.3015320301055908,
-0.5097789168357849,
-1.1188254356384277,
-0.4612289071083069,
-0.4441840350627899,
0.5482462644577026,
... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
[EX Q]: 6, ['3827', 'C', '351', '6135', 'z', 'y', '6671', '9481', 'S', '4171', 'q', 'o', '7017', '3543', 'F', 'p', ... | p, 5411, 5197, Y, G, F, 5407, t, N, 6153, 8305, 6677, 4213, N, 3379
| 6 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.24030153453350067,
-0.10047762095928192,
-0.4653182029724121,
-0.21243737637996674,
-0.2039218693971634,
-0.48243314027786255,
0.506261944770813,
0.41637468338012695,
-0.42481744289398193,
0.010684561915695667,
-0.6957439184188843,
0.038222603499889374,
-0.13103869557380676,
0.1229924410... |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: ティーンエージャーは警官に向かって手榴弾を投げたが、自分自身が傷ついた。
A: The teenager allegedly shot t... | Stewart does issue a warning against using inferred consent saying, “They may have been sending these people messages for years, but this does not establish consent.”
****
| 4 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.1886146515607834,
0.6374242901802063,
0.10305702686309814,
-0.9185146689414978,
0.24171796441078186,
-0.48117512464523315,
0.3892020881175995,
0.611741840839386,
0.10103712975978851,
-0.07225961983203888,
-0.2517493665218353,
0.41653937101364136,
-0.5198498964309692,
-0.1713338941335678,... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
One example: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chin... | A Centroid model summarizes each set of seed words by its expected vector in embedding space, and classifies concepts into the class of closest expected embedding in Euclidean distance following a softmax rule; A Naïve Bayes model considers both mean and variance, under the assumption of independence among embedding di... | 6 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.26910656690597534,
-0.2387424111366272,
-0.23799294233322144,
0.09056665003299713,
0.5874091386795044,
-0.14065617322921753,
1.1200088262557983,
0.5171154141426086,
-0.09773027896881104,
0.479223370552063,
-0.5700055360794067,
-0.222013920545578,
-0.09451577067375183,
0.6834213733673096... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Nevertheless, we are pleased that this programme has turned out in the way that we wanted it to.
A: A pesa... | Es ahí donde hay que buscar el equilibrio entre este principio, como herramienta política, y la ciencia.
****
| 4 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.11382215470075607,
1.0851657390594482,
0.25845855474472046,
-0.680993378162384,
-0.0661381185054779,
-1.2727422714233398,
0.7886992692947388,
0.43286365270614624,
0.042716920375823975,
-0.013787083327770233,
-0.35554659366607666,
0.3551202714443207,
-0.6442936062812805,
0.35387277603149... |
Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
In... | C, R, 8573, U, 3559, p, l, 4473, v, 7333, 9091, p, 3529, 5851, 8057 | 3 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.4359542727470398,
0.31014466285705566,
-0.30485963821411133,
-0.5289179086685181,
-0.258761465549469,
-0.25987154245376587,
0.678466796875,
-0.6203144788742065,
-0.3196709454059601,
0.10238619148731232,
-0.9639522433280945,
0.24560034275054932,
0.06776219606399536,
-0.426837682723999,
... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Input: Consider Input: Question: RJ ... | Output: less
| 2 | NIv2 | task178_quartz_question_answering | fs_opt | [
0.4583979845046997,
1.029026985168457,
-0.4239201545715332,
0.24701064825057983,
-0.5014779567718506,
-1.3911863565444946,
-0.06716996431350708,
0.9755767583847046,
0.1155930757522583,
0.21767646074295044,
-0.12832039594650269,
0.4118186831474304,
-1.286474347114563,
0.07007060945034027,
... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value... | mj6681uO | 5 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.5650801658630371,
0.8332594633102417,
-0.16675907373428345,
-0.3836321532726288,
-0.01756329834461212,
-0.21191763877868652,
-0.09739547967910767,
0.06357985734939575,
0.1452704221010208,
-0.21297317743301392,
-0.9214396476745605,
0.2233242243528366,
-0.01651502214372158,
-0.17846935987... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This TV is set so that it is not capable of a "recall" function. If you want to flash back between channels, this TV is not going ... | Negative | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.3387391269207001,
-0.45559924840927124,
0.2901507019996643,
-0.21706417202949524,
0.5626928210258484,
0.36866939067840576,
0.540651261806488,
0.8073517084121704,
-0.05097222328186035,
0.7188795804977417,
0.0888223946094513,
0.5157926678657532,
-0.8410887122154236,
-0.24222396314144135,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(cont... | 2 | 9 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.4056546986103058,
0.46612679958343506,
0.15783560276031494,
-0.14472348988056183,
-0.0006374336080625653,
-0.3930884301662445,
0.27557697892189026,
0.43549874424934387,
0.26060789823532104,
-0.04191502556204796,
-0.214703768491745,
-0.21621796488761902,
-0.03360036015510559,
-0.13288995... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a 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 ... | Tanya sees a stray kitten >Causes/Enables> Tanya brings home the kitten | 0 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
-0.34115898609161377,
0.40697935223579407,
-0.42086464166641235,
0.15651115775108337,
-0.16124945878982544,
-0.10230353474617004,
0.5785418748855591,
0.6804865598678589,
-0.7791115045547485,
0.0359337292611599,
-0.12798142433166504,
0.48235875368118286,
-0.1905779391527176,
-0.436264604330... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | What supercontinent prevailed during the Permian era? | 4 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.180904358625412,
0.5190805792808533,
-0.6290276646614075,
-0.3097831904888153,
-0.18850518763065338,
-1.0111393928527832,
0.07028290629386902,
0.4408194422721863,
-0.09957504272460938,
0.5431997179985046,
-0.7079925537109375,
-0.4611514210700989,
-0.959675669670105,
0.24992942810058594,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: Consider Input: مشخصا منطورم تجربیات پدران است.
Output: ここでは当然父親の経験に基づき話しているわけですが
Input: Consider Input: من یه موجود احساساتی هستم.
Output: 感情的なイキモノだもの ！
Input: Consider Input: این کک و مکها را لکه های خورشیدی ... | Output: この斑点は太陽黒点と呼ばれ太陽の磁場活動の現れの１つです
| 2 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.5077944993972778,
0.23524129390716553,
-0.689864456653595,
-0.008647666312754154,
-0.8193726539611816,
-0.8874901533126831,
0.9860473275184631,
0.24790994822978973,
0.6309734582901001,
-0.3144894242286682,
-0.4904531240463257,
0.6546102166175842,
-0.28742945194244385,
0.0312819480895996... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
са... | sadness | 0 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.7978241443634033,
-0.13336825370788574,
0.3859662115573883,
-0.2092854082584381,
-0.5358835458755493,
-0.5960040092468262,
0.43110227584838867,
1.227461338043213,
-0.24861539900302887,
0.24421387910842896,
-0.6943396329879761,
0.3034636378288269,
0.15829062461853027,
0.22905448079109192... |
Detailed Instructions: Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct ans... | cancer. | 4 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.5021631717681885,
0.4408010244369507,
-0.6896324753761292,
0.26144781708717346,
-0.0034894549753516912,
-1.7548013925552368,
0.2945155203342438,
1.082597017288208,
-0.7952638268470764,
-0.13918501138687134,
-1.2529268264770508,
0.36682385206222534,
-0.5506412386894226,
0.2410530894994735... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
อิตาลีได้เอาชนะโปรตุเกสด้วยค... | サンブルーノの市長ジム・ルアン氏は、PG&Eに対するグレンビューからのパイプライン除去という要望に関し住人を支持している。 | 0 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.10308718681335449,
0.6354151964187622,
-0.5091290473937988,
0.39211562275886536,
-0.05657198652625084,
-0.605636477470398,
0.4282129406929016,
1.0027306079864502,
-0.040939442813396454,
-0.13637618720531464,
-0.7400718927383423,
0.7626552581787109,
-0.1442006677389145,
0.4588828682899475... |
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... | I go in front of him >Causes/Enables> He hits the side of my car | 0 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.4945923686027527,
0.48894110321998596,
0.6553324460983276,
0.15165452659130096,
-0.34581154584884644,
-0.09016235917806625,
0.03837700933218002,
1.548788070678711,
0.08498303592205048,
0.06432829052209854,
-0.8599690198898315,
-0.24314558506011963,
-0.2677895426750183,
-0.31525632739067... |
Part 1. Definition
In this task you will be given a list of strings and you need to concatenate them.
Part 2. Example
['a', 'b', 'c']
Answer: abc
Explanation: The strings 'a', 'b', 'c', got concatenated into the string 'abc'. So this is a good example.
Part 3. Exercise
['j', 'd', 'u', 'seasons', 'r', 'an', 'p', 'hammer... | jduseasonsranphammerOcameCdiadem.a | 7 | NIv2 | task079_conala_concat_strings | fs_opt | [
0.635995090007782,
0.7707903385162354,
-0.944134533405304,
-0.34996306896209717,
0.5040191411972046,
-0.2282334268093109,
0.4363212287425995,
0.4091982841491699,
0.08863238990306854,
0.3680351972579956,
-0.5065363049507141,
-0.3039642870426178,
-0.5641873478889465,
-0.3916816711425781,
0... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Problem:Él no hablaba vietnamita.
Solution: | ولم يتحدث اللغة الفيتنامية. | 8 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.3549675941467285,
0.8839151263237,
0.19500629603862762,
-0.5724122524261475,
-0.09218074381351471,
0.018179092556238174,
0.9061828255653381,
0.9792267680168152,
-0.190528005361557,
0.0894923210144043,
-0.09288002550601959,
-0.4862937331199646,
-0.580185055732727,
-0.30226990580558777,
... |
Definition: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Input: Question: By pouri... | increase | 2 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.03643538057804108,
0.26948028802871704,
-0.3698917031288147,
-0.05123872682452202,
-0.06781379878520966,
-0.4828500747680664,
1.0300129652023315,
0.06980334222316742,
0.1275680661201477,
-0.23845738172531128,
-0.7992220520973206,
-0.25966817140579224,
-0.45412445068359375,
-0.0770544260... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid s... | non-overruling | 1 | NIv2 | task274_overruling_legal_classification | fs_opt | [
-0.5203864574432373,
0.6727098226547241,
0.25428885221481323,
-0.036252740770578384,
0.012730773538351059,
-0.5728969573974609,
0.3475306034088135,
1.135879397392273,
0.4912942349910736,
-0.141847625374794,
-0.46313902735710144,
-0.34566187858581543,
-0.43910497426986694,
-0.57671070098876... |
Detailed Instructions: 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... | customer: Thank you, the dates of my journey are 11/07 and 11/09. | 9 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
0.343610942363739,
0.2013881504535675,
-1.1003179550170898,
-0.6663256883621216,
0.2770814895629883,
0.017983954399824142,
1.1354572772979736,
0.4933626651763916,
-0.23733000457286835,
0.3032047748565674,
0.1992022842168808,
0.29161491990089417,
-0.7778263092041016,
0.40944039821624756,
... |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Valid | 8 | NIv2 | task149_afs_argument_quality_death_penalty | fs_opt | [
0.48157238960266113,
0.3599405884742737,
0.7248733043670654,
0.24422743916511536,
-0.7542327642440796,
-1.9854092597961426,
0.7674116492271423,
0.5879659652709961,
-0.07729408144950867,
0.30944329500198364,
-0.5043254494667053,
-0.08826730400323868,
-0.3058038353919983,
0.44749170541763306... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.15148188173770905,
0.07916145026683807,
0.43208080530166626,
0.18260988593101501,
-0.5617009401321411,
-0.595691978931427,
0.837440550327301,
0.5923914909362793,
-0.5646181106567383,
-0.11863178014755249,
-0.7955977320671082,
-0.4234110116958618,
-0.26158276200294495,
0.18996906280517578... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
[EX Q]: English: Taiwan electronics giant Foxconn has moved to repair its reputatio... | Yes
| 6 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.33124423027038574,
-0.7914566993713379,
0.4849618077278137,
0.1776181161403656,
0.3349822461605072,
-0.048045746982097626,
0.10695072263479233,
0.6725755333900452,
-0.49386173486709595,
0.1843169927597046,
0.34302783012390137,
0.5585800409317017,
-0.48146840929985046,
-0.037067551165819... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -62, 'second': 23}, {'first': -27, 'second': -99}, {'first': 70, 'second': 4}, {'first': 93, 'second': -40}]
| 1 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.37642064690589905,
-0.09201283752918243,
-0.3333849012851715,
0.058658938854932785,
0.6645545959472656,
-0.24595804512500763,
0.7613372802734375,
0.9635958671569824,
-0.29903051257133484,
-0.5154727697372437,
-0.41842734813690186,
-0.055273279547691345,
-0.808582603931427,
0.114909388124... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Teacher: Now, understand the problem? Solve this instance: חלק ממני רצה לבכות וחלק אחר ממני רצה להילחם.
Student: | Part of me wanted to cry and another part wanted to fight. | 6 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.2616689205169678,
0.3636006712913513,
0.6640359163284302,
-0.47182098031044006,
-0.10713792592287064,
-0.7319865226745605,
-0.05120471119880676,
0.36536234617233276,
0.8614169359207153,
-0.05279367417097092,
-0.023427149280905724,
-0.17635369300842285,
-1.048788070678711,
-0.50588130950... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Problem:それを知ったハバスパイ族の人々は訴訟を起こし70万ドルを勝ち取りハバスパイ居住区でのアリゾナ州立大の研究を禁じました
Solution: | כשאנשי ההבסופאי גילו, הם תבעו בהצלחה 700,000 דולרים ואסרו על ASU לערוך מחקר בשמורה שלהם. | 8 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.23479723930358887,
0.594093918800354,
0.6057422757148743,
-0.1641773283481598,
-0.974500298500061,
-0.5517204403877258,
0.02949700690805912,
-0.15221673250198364,
0.49005523324012756,
-0.5745999217033386,
0.10984713584184647,
0.003571833483874798,
-1.0876892805099487,
-0.8758106827735901... |
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: THE GREAT DEPRESSION
Clue: This "holiday" declared March 6, 1933 came with a $10... | bank holiday | 7 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.3230942487716675,
0.2329292595386505,
-0.5616456866264343,
-0.5561411380767822,
-0.4051967263221741,
-0.13602545857429504,
0.0438428558409214,
0.14595064520835876,
0.4307979345321655,
-0.14550694823265076,
-0.24085983633995056,
-0.2519976496696472,
-0.32514840364456177,
-0.1135507822036... |
Definition: 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... | two women jump into the air. | 2 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.9788191914558411,
0.4455675482749939,
0.021448766812682152,
-0.2883507311344147,
0.19089755415916443,
-0.07131573557853699,
-0.131779283285141,
0.5941645503044128,
0.4400533437728882,
-0.9573076367378235,
-1.1381990909576416,
-0.5958945751190186,
-0.48588088154792786,
0.2677559554576874... |
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