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 |
|---|---|---|---|---|---|---|
Part 1. Definition
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Part 2. Example
This is my go to place to get the best chicken Pad Thai! Also the price is s... | POSITIVE | 7 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.6726953983306885,
-0.22501260042190552,
-0.3597656488418579,
0.5836608409881592,
0.3113042116165161,
-0.39107757806777954,
0.5782933235168457,
1.0147979259490967,
0.09095123410224915,
0.046804629266262054,
-0.10841403156518936,
0.338437020778656,
-0.7973833680152893,
0.07917413115501404... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
See one example below:
Problem: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Solution: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, ... | שכילד בן שמונה הוא והוריו נסו מבירת סרי לנקה בשל נדידת אספסוף סינגהלי לעיר בחפשם אחר טמילים כמו רנו, לרצוח | 4 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.7878164052963257,
0.7837908267974854,
0.3028069734573364,
-0.6206324100494385,
-0.2637214660644531,
-0.3875632882118225,
0.7677400708198547,
0.24422220885753632,
-0.9917687177658081,
0.11307331174612045,
0.04696651175618172,
0.11644341051578522,
-1.2314741611480713,
-0.05505619198083877... |
Given the task definition and input, reply with output. In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with ... | Mover | 5 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.3743367195129395,
1.062638759613037,
-0.09407348185777664,
-0.6566214561462402,
-0.06700795888900757,
0.06727287173271179,
-0.24081188440322876,
0.5282766222953796,
0.7237415313720703,
-0.012589865364134312,
-1.120107889175415,
0.1766856610774994,
-0.5091274976730347,
-0.450723230838775... |
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: When we ... | less dense | 2 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.3660303056240082,
0.2259421944618225,
-0.12004996836185455,
0.2969741225242615,
-0.19223281741142273,
-0.3919163942337036,
0.7599327564239502,
0.09377123415470123,
0.38888201117515564,
0.11638662219047546,
-1.095423698425293,
-0.3939845860004425,
0.025255395099520683,
0.2742694020271301... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement... | entails | 1 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.26577720046043396,
0.7712951898574829,
-0.09944356232881546,
0.32197022438049316,
-0.24253274500370026,
-0.10122579336166382,
-0.795048713684082,
0.5909838080406189,
0.5659233331680298,
-0.3970555067062378,
-0.3697940409183502,
-0.19773900508880615,
-0.07745930552482605,
-0.160689413547... |
Instructions: 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.
Input: การโต้วาทีระหว่างนาง Gillard และนาย Tony Abbot คู่แข่งหลักของเธอจากรัฐบาลผสมพรรคชาติและเสรีนิยม เป็นข้อถกเถียงกันอยู่แล้ว
Output: | ギラード氏と最も有力な対立候補である自由党国民党連合のトニー・アボット氏との討論は既に論争を呼んでいる。 | 3 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-1.0224573612213135,
0.13541841506958008,
0.07564951479434967,
-0.011543474160134792,
-0.1253150850534439,
-0.4571877121925354,
0.5837836265563965,
0.08783026784658432,
0.11097920686006546,
0.05846793204545975,
-0.5289922952651978,
0.5467852354049683,
-0.7426592111587524,
0.367218673229217... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
[Q]: La sugerencia de Spitzer fue que lo hiciéramos en el espacio.
[A]: Spitzer's suggestion was we do this in space.
[Q]: Trabajamos estrechamente con compañías que tienen capacidad operativa, o algunas que no tienen fi... | Now, those programs can make sense if they in fact induce new location decisions, and the way they can make sense is, by creating more and better jobs, they raise employment rates, raise per capita earnings of state residents.
| 5 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.7110010385513306,
0.5968553423881531,
0.4107242822647095,
-0.8051520586013794,
0.3264850080013275,
-0.3843706250190735,
0.6015253663063049,
0.33144623041152954,
1.0682400465011597,
0.022171232849359512,
0.2863527238368988,
0.4110516309738159,
-0.4119236469268799,
-0.04666852951049805,
... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: I th... | Sexual-explicit | 5 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.0418810844421387,
0.4053272306919098,
0.3802557587623596,
-0.35698822140693665,
-0.18881328403949738,
-0.3741730749607086,
0.7511295676231384,
0.6920775771141052,
0.46904802322387695,
0.4301462471485138,
-0.28794947266578674,
0.3853313624858856,
-0.2983618974685669,
-0.4901730716228485,... |
In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Examp... | Solution: 2 | 5 | NIv2 | task1174_xcopa_commonsense_reasoning_sw | fs_opt | [
-0.5969536304473877,
0.6005165576934814,
0.32717835903167725,
-0.10257580131292343,
-0.6548742055892944,
-0.12975534796714783,
0.8303279876708984,
0.6530061364173889,
0.47862058877944946,
0.03636398911476135,
-0.5903408527374268,
0.060174085199832916,
-0.22200845181941986,
0.03860608488321... |
Given the task definition and input, reply with output. Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Net sales of Finnish Sanoma Learning & Literature , of Finnish media group Sanoma , decreased by 3.6 % in Januar... | negative | 5 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-1.3726484775543213,
0.3655608296394348,
0.35993874073028564,
-0.5859436392784119,
-0.38305044174194336,
0.5234289765357971,
-0.26246482133865356,
0.9288489818572998,
-0.05481651797890663,
-0.3896608054637909,
0.42399221658706665,
0.9708813428878784,
-0.6035413146018982,
-0.703645110130310... |
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: ... | Norton | 2 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.23844687640666962,
0.573486328125,
0.19981282949447632,
0.13906992971897125,
-0.0031554815359413624,
-0.3986676037311554,
1.156306505203247,
0.007604552898555994,
0.5513461828231812,
-0.24561764299869537,
-0.7105998992919922,
0.12254971265792847,
-0.5904508829116821,
0.03207880258560181... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
M: Do you feel like watching the evening news? W: You... | She'd like to watch the news elsewhere since her room is cold. | 0 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.10268691182136536,
0.4998228847980499,
-0.015399167314171791,
-0.13698863983154297,
0.07377330213785172,
-0.5521238446235657,
0.44338420033454895,
0.6007475852966309,
0.2351282238960266,
-0.5549956560134888,
-0.8249406814575195,
-0.2859650254249573,
-0.19676700234413147,
-0.4262132048606... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
[EX Q]: Depending upon your reaction to this movie , you may never again be able to look at a red felt Sharpie pen ... | POS
| 6 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-1.1528840065002441,
0.3055794835090637,
-0.01216304861009121,
-0.38361284136772156,
0.193712517619133,
-0.7851876020431519,
0.8007165193557739,
0.37575387954711914,
1.0653207302093506,
0.27810749411582947,
-0.13727718591690063,
-0.22172853350639343,
0.09614284336566925,
-0.196686312556266... |
Q: 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).
Det måste användas till pilotprojekt, forskning, informationsutbyte samt... | The appropriations are needed for pilot projects, research, information exchange and also to cultivate more positive attitudes towards the use of renewable energy. | 7 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.8080693483352661,
0.8749982118606567,
0.6861434578895569,
-0.9134601354598999,
0.10083521902561188,
-0.7899075150489807,
0.7499338388442993,
0.879285454750061,
0.30358999967575073,
0.04738062247633934,
-0.11088970303535461,
0.5240890979766846,
-0.5347931385040283,
-0.4102502167224884,
... |
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: if simon needs to make 519 gift bags at a rate o... | 12.357142857142858 | 4 | NIv2 | task862_asdiv_multidiv_question_answering | zs_opt | [
0.18731176853179932,
0.8540201783180237,
0.8992130160331726,
-0.527273952960968,
-0.33624398708343506,
-0.2548397183418274,
-0.1276254653930664,
0.2815083861351013,
-0.25971394777297974,
-0.5220366716384888,
-0.11824861168861389,
0.41864126920700073,
-0.4700826406478882,
0.1035002321004867... |
Instructions: 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.
Input: In the year 2046, a heavily populated research facility on Mars is suddenly attacked by an unknow... | Answer: Sarge | 3 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.3315757215023041,
-0.026086602360010147,
-0.5703637599945068,
-0.03631914407014847,
0.38371676206588745,
-0.8792306184768677,
0.5185827612876892,
0.43923866748809814,
-0.6442716121673584,
0.49294137954711914,
0.11047008633613586,
0.4809459447860718,
-0.8844388723373413,
-0.08166428655385... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | 0 | NIv2 | task616_cola_classification | zs_opt | [
-0.3732909560203552,
0.8561275601387024,
0.8315570950508118,
0.21643094718456268,
-0.055439162999391556,
-0.927019476890564,
0.5442668199539185,
0.533976674079895,
0.5270605683326721,
0.30593329668045044,
-0.4331698417663574,
0.03992771357297897,
-0.18008100986480713,
-0.009658346883952618... |
Definition: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not gen... | B | 2 | NIv2 | task309_race_answer_generation | zs_opt | [
1.0292633771896362,
0.5851808786392212,
-0.13162781298160553,
-0.01936563476920128,
0.10159415006637573,
-0.5258917212486267,
0.7419074177742004,
1.1870803833007812,
0.7347913980484009,
-0.10409566015005112,
-0.12106241285800934,
0.3539125323295593,
-0.6238359808921814,
-0.0812449008226394... |
In this task, you need to count the number of words in a sentence that contain the given letter
One example: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
Solution is here: 3
Explanation: The words 'gray', 'standing', and 'a' contain the letter 'a'. So, the... | 0 | 6 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.10335969179868698,
0.6485278606414795,
-0.7785611152648926,
-1.2270774841308594,
-0.6349372863769531,
-0.17336317896842957,
0.5165039300918579,
0.015660909935832024,
0.8062159419059753,
-0.09341399371623993,
-0.7235455513000488,
0.3293052315711975,
0.3784036636352539,
-0.044330921024084... |
instruction:
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
question:
maybe it would just be easier to bug his office with a dictaphone .
answer:
maybe it 'll be easier to tap his office with... | changes in the values of some lab tests have also been reported .
| 9 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.17001019418239594,
0.9718250036239624,
-0.4367310404777527,
-0.5392658710479736,
0.2732078731060028,
-0.5779281854629517,
0.9016040563583374,
0.008105415850877762,
0.5766338109970093,
-0.28044891357421875,
-0.08167953044176102,
0.3795035481452942,
-0.6791958808898926,
0.4913092851638794,... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | How many yards difference was Mason Crosby’s first field goal compared to his second? | 3 | NIv2 | task184_break_generate_question | fs_opt | [
0.9644827842712402,
-0.10533567517995834,
-0.6248977780342102,
0.24644407629966736,
0.5396344661712646,
-0.38160285353660583,
0.8617311716079712,
0.2943626046180725,
-0.5704195499420166,
0.5626927614212036,
-0.2767029404640198,
0.5042389631271362,
0.05719568580389023,
0.284403532743454,
... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Santa was so nice that Marc realized he didn't have to be nervous!
| 0 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.045375481247901917,
0.6497354507446289,
0.07448631525039673,
-0.3960950970649719,
-0.38375166058540344,
0.0710749477148056,
0.9697645902633667,
0.21581242978572845,
0.010232262313365936,
-0.03772813826799393,
-0.8083593845367432,
0.3637118935585022,
-0.45108962059020996,
-0.104966253042... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: When does star wars land disney world open?
Output: | When does star wars: Galaxy's Edge at disneyland open? | 3 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.0731111615896225,
0.35279393196105957,
-0.95973801612854,
0.06955020129680634,
-0.6662948131561279,
-0.21612074971199036,
-0.1922309845685959,
-0.32230496406555176,
0.7534993886947632,
0.4210633635520935,
-0.01280282624065876,
-0.3878036439418793,
-0.5643908381462097,
0.1804290413856506... |
Definition: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial cont... | Suddenly, the clock hit midnight. | 2 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.15390130877494812,
-0.013645907863974571,
0.19680911302566528,
0.6883338689804077,
0.08745777606964111,
-0.7028454542160034,
-0.3136281371116638,
1.1637846231460571,
0.29023072123527527,
0.11117560416460037,
-0.34354445338249207,
-0.3799128234386444,
-0.5248689651489258,
0.31593352556228... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
جانوری هر روز صبح از یک چوب ۱۰ متری ۲ متر بالا می رود و عصر یک متر پائین میآید این جانور صبح چندمین روز به بالای چوب می رسد؟ <sep> (A) 5 (B... | B | 0 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.6483844518661499,
0.35857126116752625,
-0.6186879277229309,
0.319133996963501,
-1.6350458860397339,
0.26682940125465393,
0.6281408071517944,
0.3502110242843628,
-0.28596997261047363,
-0.33849090337753296,
-0.9199641942977905,
0.073765829205513,
-0.4903165102005005,
0.40239372849464417,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
[Q]: אבל זה מאוד רופף.
[A]: Ale jest mało stabilny.
[Q]: אז ייתכן שישנם כמה רעיונות שאפשר לחשוב עליהם שיכולים להצליח.
[A]: Pewnie jest kilka skutecznych pomysłów.
[Q]: אם השלב הסופי במשחק (כמו בשחמט) הוא התחממות גלובלית, ... | Jeśli rozgrywką końcową ma być globalne ocieplenie, to radzą sobie świetnie.
| 5 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.6738460659980774,
1.0250306129455566,
0.008731123059988022,
0.380381315946579,
-0.2950906455516815,
-0.48081234097480774,
0.7841681838035583,
-0.7443376183509827,
0.04159438610076904,
-1.252925157546997,
-0.667618989944458,
0.651035487651825,
-0.2524430751800537,
-0.004402372520416975,
... |
In this task, you need to reverse the order of words in the given sentence.
Let me give you an example: Sentence: luggage surrounds a vehicle in an underground parking area
The answer to this example can be: area parking underground an in vehicle a surrounds luggage
Here is why: This is a correct answer, as it correct... | food of bowl a over utensils holding are people of group a | 8 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.2183135598897934,
0.9503178596496582,
-0.3643953502178192,
-0.08339109271764755,
-0.0589158833026886,
-0.6646680235862732,
0.04424476623535156,
0.0356040894985199,
0.0719040110707283,
-0.4502425789833069,
-0.43826407194137573,
0.05018480867147446,
0.15675508975982666,
0.08299261331558228... |
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 dont know i am looking for medicines that can be used to treat fybromyalgia im not sure if im experiencing a flare up | 0 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.1739233434200287,
0.3759734630584717,
-0.7066137790679932,
0.205722376704216,
0.5172218084335327,
-0.10806921869516373,
1.1403207778930664,
0.39797067642211914,
0.7383794784545898,
0.06431777030229568,
-0.09865453839302063,
0.10467541217803955,
-0.08584241569042206,
0.5017673969268799,
... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | aXyTOtgboEVbccchikkllqrtyFbDLpFPa, xWbccchikkllqrtyTqNkoEmbsEfg | 0 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.07621914893388748,
0.41311779618263245,
-0.10572641342878342,
0.22311002016067505,
0.14693710207939148,
-0.0001368109369650483,
0.3136923611164093,
0.36488109827041626,
0.05921204015612602,
0.2834480404853821,
-0.9768218398094177,
-0.7827006578445435,
0.20173510909080505,
-0.411969959735... |
Detailed Instructions: 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.
See one example below:
Problem: They both let out relieved breaths at the doctor'... | Singular | 4 | NIv2 | task431_senteval_object_count | fs_opt | [
-1.1280688047409058,
0.6721729636192322,
-0.2791177034378052,
-0.6198675036430359,
-0.22769954800605774,
-0.6532843708992004,
1.1002051830291748,
-0.09239383041858673,
0.33203110098838806,
-0.6344557404518127,
-0.2689725458621979,
0.2559205889701843,
-0.59285569190979,
0.012215755879878998... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (8, 9)
| 1 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.7756956815719604,
0.6279005408287048,
-0.22338560223579407,
-0.4647817313671112,
-0.02142982929944992,
0.23585715889930725,
0.4449482858181,
0.48257720470428467,
0.28887444734573364,
-0.38003474473953247,
-0.36885756254196167,
-0.33832091093063354,
0.04649823158979416,
0.203107327222824... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
--------
Question: Sentence1: Frankie was in love with a distant, ... | A
| 7 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
-0.48997142910957336,
0.46283894777297974,
0.075423464179039,
-0.7299365997314453,
0.3552734851837158,
-0.006320212502032518,
0.27989596128463745,
0.41571441292762756,
-0.2824929356575012,
0.22569692134857178,
-0.5210535526275635,
-0.06733481585979462,
-0.01817343570291996,
-0.503852248191... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[EX Q]: Tweet: @palacejackson Agreed! Question: is it a positive tw... | no
| 6 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-0.840819239616394,
0.46044760942459106,
0.9115034341812134,
-0.16501833498477936,
0.16753549873828888,
-1.0470279455184937,
0.09982635080814362,
0.17894518375396729,
-0.08204718679189682,
0.08633431047201157,
0.058701109141111374,
-0.23609724640846252,
-0.4701474905014038,
-0.440101116895... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Q: Ma dobbiamo anche riconoscere che le imprese non lo faranno in modo abbastanza efficace, se le ONG e i governi non lavoreranno in partnership con le imprese.
A: | But we also have to recognize business is not going to do this as effectively as if we have NGOs and government working in partnership with business. | 9 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.20479844510555267,
0.7507853507995605,
0.2789072096347809,
-0.2152469903230667,
0.12831169366836548,
-1.2917534112930298,
-0.23460105061531067,
0.6353808045387268,
-1.1766165494918823,
0.2294785976409912,
-0.5337144136428833,
-0.4226967990398407,
0.0882938802242279,
-0.09669406712055206... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Example: What does the dc in Washin... | Solution: American cheese, Cheez Whiz, and provolone | 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.3916226625442505,
0.6211229562759399,
-0.13890689611434937,
-0.2347608208656311,
-0.38125482201576233,
0.014532843604683876,
1.249729871749878,
0.3693239688873291,
0.23701903223991394,
-0.19822977483272552,
-0.6540933847427368,
-0.02061653696000576,
-0.16880321502685547,
-0.022199064493... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Example: Context: Our prayers are with the students, educators & familie... | a british muslim | 1 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.6313867568969727,
1.3286796808242798,
0.32350003719329834,
-0.1837654411792755,
-0.32701584696769714,
-0.036857981234788895,
0.3906654715538025,
0.41687294840812683,
0.4580281674861908,
-0.28001075983047485,
-0.3039814233779907,
0.09690827876329422,
0.17440244555473328,
-0.3817928433418... |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Output: Hobbies and Crafts
| 2 | NIv2 | task1630_openpi_classification | fs_opt | [
0.40541335940361023,
0.20077022910118103,
-0.6121376752853394,
0.7803661823272705,
0.3771835267543793,
0.16270095109939575,
0.11835230141878128,
0.8322147727012634,
0.4687196612358093,
-0.547477662563324,
-0.6835888624191284,
0.3702603578567505,
-0.09896431863307953,
-0.15906599164009094,
... |
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 presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A an... | A | 0 | NIv2 | task329_gap_classification | fs_opt | [
0.08425237983465195,
0.2950170040130615,
-0.7019253373146057,
0.1315329372882843,
0.2575136721134186,
0.3782525360584259,
0.3247254490852356,
0.8730318546295166,
0.2770358920097351,
-0.05569553002715111,
-1.1828455924987793,
0.9079316258430481,
-0.42866796255111694,
-0.046844109892845154,
... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
[EX Q]: Sentence: 'a bathroom is shown with an odd table'. Remove all words of length '5' in the given sentence.
[EX A]: a bathroom is wi... | the cat rests inside a refrigerator next bottled water
| 6 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.15865740180015564,
0.02068779617547989,
-0.7020210027694702,
-0.3548094928264618,
0.2798399329185486,
-0.9000264406204224,
-0.39097458124160767,
0.4346098005771637,
-0.0642027035355568,
-0.17473486065864563,
-0.8695867657661438,
-0.19059310853481293,
-0.6492856740951538,
-0.3978453874588... |
Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a ste... | Anti-stereotype | 3 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.2437935471534729,
0.4475545883178711,
-0.06978217512369156,
0.20828616619110107,
-0.2516939043998718,
-0.015049747191369534,
0.6544761657714844,
1.1151790618896484,
0.25022047758102417,
-0.11796862632036209,
-0.4913962483406067,
-0.41011255979537964,
-0.10248087346553802,
-0.10682277381... |
Detailed 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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ... | 9627 | 9 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.31679534912109375,
0.3468795418739319,
-0.7947720289230347,
-0.6358985900878906,
0.40649157762527466,
0.14808593690395355,
0.4121730327606201,
0.14051832258701324,
-0.6126546859741211,
-0.07217679917812347,
-0.6181976795196533,
0.7998231053352356,
0.6024169921875,
-0.07097452878952026,
... |
Teacher: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
T... | Yes | 2 | NIv2 | task227_clariq_classification | fs_opt | [
-0.2039225995540619,
0.24266624450683594,
-0.3177254796028137,
-0.07665365934371948,
-0.5310889482498169,
-0.9971630573272705,
0.26462823152542114,
0.6489273309707642,
0.02654845267534256,
-0.5082531571388245,
0.9354903697967529,
-0.3244308829307556,
-0.5122314691543579,
-0.426015108823776... |
You will be given a definition of a task first, then some input of the task.
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: animal
Words: fish, shark, kayak, whale, se... | kayak | 1 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.07848324626684189,
0.41685885190963745,
-0.19485972821712494,
-0.219713032245636,
0.10955152660608292,
0.7315965890884399,
0.5468912720680237,
0.06490905582904816,
-0.5216180086135864,
-0.15194565057754517,
0.38663139939308167,
-0.303300678730011,
-1.1825697422027588,
0.4252573847770691... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external k... | Who confronts Rama?
| 5 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.7798618674278259,
-0.0821547657251358,
-0.4599469006061554,
0.22264716029167175,
-0.1542060226202011,
-0.023741602897644043,
0.5491830110549927,
1.0315189361572266,
0.3624263405799866,
0.12330321967601776,
-0.08596940338611603,
1.0628485679626465,
-0.4475099444389343,
0.45630133152008057... |
Part 1. Definition
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sen... | E | 7 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.5045266151428223,
-0.24233248829841614,
0.414451003074646,
-0.025740746408700943,
0.23263749480247498,
-0.041757576167583466,
0.1759452372789383,
0.6262935400009155,
0.267536997795105,
-0.039076268672943115,
-0.2823548913002014,
0.2746667265892029,
-0.5647841691970825,
-0.12748771905899... |
Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Problem:Alice emailed a man some instructions
Solution: | Alice emailed some instructions to a man | 8 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.40723639726638794,
0.7532951831817627,
0.29413902759552,
-0.3289574682712555,
0.002502716612070799,
-1.109165906906128,
0.8203539252281189,
-0.6653231978416443,
-0.07189780473709106,
-0.24919265508651733,
-0.279136061668396,
-0.2953771650791168,
-0.1259387582540512,
0.4247264266014099,
... |
Definition: In this task, you're given a passage that represents a legal contract or clause between multiple parties, followed by a question that needs to be answered. Based on the paragraph, you must write the index where the answer starts. If multiple answers seem to exist, write the index of the answer that is the m... | 10538 | 2 | NIv2 | task598_cuad_answer_generation | zs_opt | [
-0.08769109845161438,
0.2142772376537323,
-0.20589089393615723,
-0.6580566167831421,
0.8578718304634094,
-0.20139089226722717,
0.8659893870353699,
1.1034202575683594,
-0.2454637885093689,
-0.10240057110786438,
0.8798643350601196,
0.23581646382808685,
-0.16572940349578857,
0.392504096031188... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | Who were the first persons to be called cardinals at the beginning of the 7th century in Rome?
| 0 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.40669363737106323,
0.09591921418905258,
-0.6827259063720703,
0.3259958326816559,
0.41126784682273865,
-0.552114725112915,
1.3418567180633545,
1.047438383102417,
0.005016705021262169,
0.19978100061416626,
0.4749854505062103,
0.7049194574356079,
-0.6004538536071777,
0.019545409828424454,
... |
TASK DEFINITION: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
PROBLEM: Japanese: この方式はGTMOForm508-1と呼ばれている。（右側に写真がある。）
Filipino: Nandiyan ang tubig... | No
| 8 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.022318901494145393,
-0.7201927304267883,
-0.19436514377593994,
0.2152225226163864,
0.4925495386123657,
-0.06584769487380981,
1.2997620105743408,
0.7100863456726074,
-1.0067083835601807,
0.0013328089844435453,
-0.786098837852478,
-0.1181340143084526,
-0.8614586591720581,
0.74138331413269... |
Detailed Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
See one example below:
Problem: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস... | negative | 4 | NIv2 | task1496_bengali_reviews_sentiment_classification | fs_opt | [
-0.38326549530029297,
0.21275417506694794,
-0.2612423598766327,
0.10868332535028458,
0.005952958948910236,
-0.08868041634559631,
0.6700013875961304,
0.9567546248435974,
0.3503975570201874,
-0.04807836562395096,
0.10774759948253632,
-0.0928095132112503,
-0.1134653091430664,
0.09184187650680... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | How many refugees were not German citizens? | 8 | NIv2 | task184_break_generate_question | fs_opt | [
0.9347031116485596,
-0.06964986771345139,
-0.5073508024215698,
0.27093082666397095,
0.5304709672927856,
-0.328469842672348,
1.1612157821655273,
0.49501490592956543,
-0.5115916728973389,
0.5569474101066589,
-0.2234625220298767,
0.5440832376480103,
-0.14996686577796936,
0.3232082724571228,
... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
SECTION 1. SHORT TITLE.
This Act may be cited as the ``Federal Ninth Circuit Reorganization
Act of 1999''.
SEC. 2. DIVISIONAL ORGANIZATION OF THE COURT OF APPEALS FOR THE NINTH
... | Federal Ninth Circuit Reorganization Act of 1999 - Organizes the United States Court of Appeals for the Ninth Circuit into three regional divisions, designated as the Northern, Middle, and Southern Divisions, and a nonregional Circuit Division. Makes provisions of the Federal judicial code regarding circuits in which ... | 0 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.11523966491222382,
-0.08078347146511078,
0.04898794740438461,
0.1495906263589859,
0.6857244372367859,
-0.5416591167449951,
0.589633584022522,
0.7509247064590454,
-0.5004168152809143,
0.07713516056537628,
-0.10261969268321991,
0.9798681139945984,
-0.7650885581970215,
0.6769504547119141,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
ترانهای که ذکر آن رفت، آنی نبود که ارمنستان اجرا خواهد کرد -و بنا به قوانین مسابقات هم اصولا نمیتوان آهنگ قدیمی را در این مسابقه اجرا کرد-.
| The song in question was not the one Armenia will perform, but the situation is clear. | 5 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
0.018782734870910645,
1.1276127099990845,
0.2042170614004135,
0.09323010593652725,
-0.7373469471931458,
0.38634833693504333,
0.3768393397331238,
0.18407902121543884,
0.28769129514694214,
-0.49122458696365356,
-1.0298720598220825,
0.677390456199646,
-0.5486738085746765,
0.04501631110906601,... |
Given the task definition, example input & output, solve the new input case.
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts... | kidneys contain a system of blood vessels and tubules. | 1 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.21118563413619995,
0.38719725608825684,
-0.6700719594955444,
0.5737582445144653,
-0.1574799120426178,
-1.268958330154419,
-0.12072449177503586,
0.8290327787399292,
-0.343334436416626,
-0.01628081128001213,
-0.9481756687164307,
0.6334373354911804,
-0.12392354011535645,
-0.1378534138202667... |
Teacher:In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? Solve this instance: Question: Energy that is stored in a person or object is c... | Energy that is stored in a person or object is called potential energy. | 6 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.8429983854293823,
0.7954070568084717,
-0.06103377789258957,
-0.31868335604667664,
-0.506401538848877,
-1.3744862079620361,
0.5171945691108704,
0.3045925796031952,
0.21543262898921967,
-0.721659779548645,
-0.0044828676618635654,
0.13197308778762817,
-0.8183252811431885,
-0.602875709533691... |
Teacher:Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer... | Yes | 6 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.860315203666687,
0.019547920674085617,
0.4218001961708069,
0.4617999196052551,
-0.6755130290985107,
-0.9801980257034302,
-0.1845851093530655,
0.6547694206237793,
-0.06763283908367157,
-0.3171774744987488,
0.021272316575050354,
-0.306381493806839,
-0.11358701437711716,
0.2490228414535522... |
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 odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [775, 1443, 205, 49, -86903, 15795, 0, -23, 21, 2096289, -221, 4935, -2303, -701631, 35] | 0 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.17884530127048492,
0.1845489889383316,
-0.7395913004875183,
-0.05762248486280441,
0.06853742897510529,
0.21875938773155212,
0.959405779838562,
0.8669064044952393,
-0.31977808475494385,
-0.18162605166435242,
-1.2291524410247803,
-0.5144217610359192,
-0.232961967587471,
-0.334777086973190... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Q: Sentence 1: The cytoplasm is divided... | entails | 4 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.2246018648147583,
0.6282484531402588,
-0.14155137538909912,
0.7641127109527588,
0.08835670351982117,
-0.9559167623519897,
-0.612278938293457,
0.578843891620636,
-0.08287807554006577,
0.07599656283855438,
-0.5953187942504883,
-0.8183068037033081,
-0.19847360253334045,
0.0707314983010292,... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
See one example below:
Problem: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Solution: Bueno, yo digo nada, pero en realidad hay una... | Es increíble. Es un momento maravilloso. | 4 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.5648623108863831,
0.5244208574295044,
-0.37870466709136963,
0.18901857733726501,
-0.5982224941253662,
-0.20878499746322632,
0.7034012079238892,
0.6252245903015137,
-0.3172694146633148,
-0.2310977280139923,
-0.6512844562530518,
0.5102071166038513,
0.00040041812462732196,
-0.0875301510095... |
Definition: Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Гарантией для рыбалки является то, что ваш разум и тело становятся очень расслабленными. | 2 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.39444199204444885,
0.12376207113265991,
-0.320215106010437,
-1.0762100219726562,
-0.41452983021736145,
-0.11189275979995728,
0.33590954542160034,
0.9131004214286804,
0.34268718957901,
-0.5901646614074707,
-1.0184903144836426,
-0.2405059039592743,
-1.1534290313720703,
0.379264235496521,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Unha diminución do 30% na produción, nun contexto de poboación en aumento significa unha crise alimentaria. Isto é de natureza mundial.
Student: | Una disminución del 30% de la producción en un contexto de crecimiento de población, supone una crisis alimentaria. Esto es de carácter mundial. | 6 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-1.108931064605713,
0.8298419713973999,
0.06514300405979156,
-0.967675507068634,
-0.4056503474712372,
-1.1622755527496338,
-0.37640678882598877,
1.4673500061035156,
-0.529589831829071,
-0.0881553590297699,
-0.3579995334148407,
-0.227781742811203,
-0.7864071130752563,
-0.35462117195129395,
... |
Detailed Instructions: You are given a statement written in Malayalam. 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: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) -... | വെർജീനിയ | 4 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
1.0230188369750977,
0.2446264773607254,
-0.5603690147399902,
0.13323035836219788,
0.24989917874336243,
-1.1818093061447144,
0.6004365682601929,
1.1339681148529053,
-0.4259479343891144,
0.2880367636680603,
-0.24307651817798615,
0.6958235502243042,
-0.12627580761909485,
-0.4723609983921051,
... |
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.
אז אם אנחנו יכולים להתחיל להבין מה אנשים באמת רוצים בבריאות ובפיתוח, אנחנו יכולים לשנות קהילות ואנחנו יכולים לשנות אומות שלמות.
Output: | Así, si podemos empezar a entender lo que la gente quiere en salud y desarrollo, podemos cambiar las comunidades y también países enteros. | 1 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.854686439037323,
0.7816146016120911,
0.5033856630325317,
0.03793228045105934,
-0.3338909447193146,
-0.44754350185394287,
0.5010892748832703,
0.25685811042785645,
0.6357911825180054,
-0.8414821624755859,
0.10963593423366547,
-0.012256713584065437,
-0.21099871397018433,
-0.090021744370460... |
Detailed Instructions: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Problem:I've been here plenty of times over the years for Panther games. I love it! Not ... | POSITIVE | 8 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.7862022519111633,
-0.24417176842689514,
-0.18097937107086182,
0.757753312587738,
0.32174816727638245,
-0.7960516214370728,
0.31356459856033325,
0.4740158021450043,
0.6911194920539856,
0.29058992862701416,
-0.22749538719654083,
0.015428999438881874,
-0.659420907497406,
0.4579538404941559... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Si usted mira para tener espíritus a continuación, usted debe querer que a la cena.
| 1 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.011827182956039906,
0.6762978434562683,
-0.3858548104763031,
0.24989920854568481,
-0.019907675683498383,
-0.381625771522522,
-0.08968544006347656,
1.6051536798477173,
0.19449210166931152,
-0.45455366373062134,
-0.21201926469802856,
0.6120959520339966,
-0.45824742317199707,
-0.4148948788... |
Detailed Instructions: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
See one example below:
Problem: Abstract: Some patients converted from ventricular fibrillation to organized rhyth... | Animal | 4 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | fs_opt | [
0.8575230240821838,
0.217780202627182,
-0.6026498079299927,
-0.12931576371192932,
0.5362082719802856,
-0.2924724817276001,
0.7999376058578491,
0.78888338804245,
0.5014339685440063,
0.26124343276023865,
-0.29628095030784607,
0.3715949058532715,
-0.31133797764778137,
0.26834776997566223,
0... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the l... | 3, 4, 5, 6, 8, 9, 13, 16, 19, 24, 27, 28, 29, 30 | 4 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.06152272969484329,
0.05701550841331482,
-0.4041139781475067,
-0.8736070990562439,
0.24741028249263763,
-0.30168211460113525,
0.9608118534088135,
0.08310522139072418,
-0.5860195159912109,
0.3374800384044647,
-0.8266721963882446,
-0.34931620955467224,
0.009124788455665112,
0.02705984190106... |
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... | Does peplomycin induce G1-phase specific apoptosis in liver carcinoma cell line Bel-7402 involving G2-phase arrest? | 3 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.2674424648284912,
0.4406145215034485,
-0.0988331288099289,
0.03556302934885025,
0.7469328045845032,
-0.43149852752685547,
0.2934268116950989,
0.6588906645774841,
-0.29859060049057007,
0.04100513458251953,
-0.3582175076007843,
0.05342809855937958,
-0.9158498048782349,
0.45839816331863403,... |
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'.
Q: Problem: in an election a candidate who gets 60 % of the votes is elected by a majority of 900 votes . what is the total number of... | a | 4 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.04537758231163025,
0.6815735101699829,
-0.04329345002770424,
0.4410082697868347,
-0.6002871990203857,
-0.665367603302002,
0.6208569407463074,
0.3281238079071045,
-0.25936299562454224,
0.14540298283100128,
-0.5929130911827087,
0.34687942266464233,
-0.7332123517990112,
-0.0631958544254303,... |
Q: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: Received this product Wednesday and just opened ... | True | 7 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.46104782819747925,
-0.05599266290664673,
0.2903078496456146,
-0.8104004859924316,
-0.5284489989280701,
-0.6062650680541992,
0.6198791265487671,
0.5426065325737,
-0.3483216166496277,
0.4481293559074402,
-0.4968721568584442,
-0.4967465400695801,
-0.7970623970031738,
0.2082274854183197,
... |
Q: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Query: ... | No | 7 | NIv2 | task227_clariq_classification | zs_opt | [
-0.3740846812725067,
0.30433300137519836,
-0.41768860816955566,
0.36658918857574463,
-0.2269514501094818,
-0.8540365695953369,
0.06670533120632172,
1.0439780950546265,
0.507459282875061,
0.36476656794548035,
0.23719549179077148,
-0.34364503622055054,
-0.12384690344333649,
-0.08081503957509... |
Q: 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: the euro came under heavy pressure against the dollar and yen thursday on increasing speculation that the eurozone will... | yes | 7 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.6976041793823242,
0.050073567777872086,
0.46068334579467773,
1.0706382989883423,
0.1730574369430542,
-0.11334758996963501,
0.03333624079823494,
1.0320241451263428,
-0.10114771872758865,
-0.17607249319553375,
0.21674156188964844,
0.3889194130897522,
-0.9254722595214844,
-0.03519027307629... |
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
બહાર, ત્યાં મોટરસાયકલ્સ ઘાસ પર આરામ છે જ્યારે લોકો તેમની સાથે નાના જૂથો ભેગા થાય છે. | Outside, there are motorcycles resting on the grass while people congregate in small groups alongside of them. | 0 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | zs_opt | [
0.12948012351989746,
0.7370391488075256,
-0.38353431224823,
-0.7803475856781006,
-0.06114787608385086,
-1.3272387981414795,
0.21270941197872162,
-0.07854640483856201,
0.42534488439559937,
-0.13592636585235596,
-0.9324377775192261,
0.0702490508556366,
0.14806991815567017,
-0.128431171178817... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Example: Event: PersonX not does PersonY any favours. Inte... | Solution: appreciated | 5 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.2927946150302887,
0.03796768561005592,
0.5492721796035767,
-0.2623150944709778,
-0.23271846771240234,
-0.9211934804916382,
1.137805461883545,
0.51514732837677,
0.1156766265630722,
-0.11739660054445267,
0.46474653482437134,
-0.07759896665811539,
-0.6251844763755798,
-0.13970893621444702,
... |
You will be given a definition of a task first, then some input of the task.
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 c... | Разве они не одно целое с теми, кто погиб, сражаясь за Испанскую республику в 1930-х годах и за освобождение Будапешта в 1956, с теми, кто положил конец фашизму в Испании и Португалии в 1970-х годах? | 1 | NIv2 | task1377_newscomm_translation | zs_opt | [
-0.13400675356388092,
0.5979816913604736,
-0.2886473536491394,
-0.05474527180194855,
-0.15054737031459808,
0.25256699323654175,
0.9898879528045654,
1.105799674987793,
0.6782933473587036,
-0.06891770660877228,
-0.44035425782203674,
-0.10666635632514954,
-0.10142150521278381,
0.2021448016166... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | Solution: False | 5 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.21533432602882385,
0.25983935594558716,
-0.5325195789337158,
0.4202624559402466,
-0.192417174577713,
-0.8372328281402588,
1.0438790321350098,
0.6185839772224426,
-0.5954549908638,
0.03453965112566948,
-0.5841991901397705,
0.2989758253097534,
-0.0879477933049202,
-0.09826308488845825,
0... |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | False
| 1 | NIv2 | task1589_scifact_classification | fs_opt | [
0.46460849046707153,
0.0574115552008152,
-0.5693256855010986,
0.19847694039344788,
0.6951651573181152,
-0.10333333164453506,
0.9359400272369385,
0.49131184816360474,
-0.23196524381637573,
0.4296424984931946,
-0.5519494414329529,
0.3063841462135315,
-0.28431177139282227,
0.4877593219280243,... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
What's interesting is that at the same time, the number of genes that we're discovering is rising very quickly.
A: | もう一つ面白いことは発見される遺伝子の数も非常な速度で増えているということです | 7 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.8440452814102173,
0.4724990725517273,
0.24917107820510864,
-0.3450159430503845,
-0.7625846862792969,
-1.092585563659668,
-0.9274919033050537,
0.5369369983673096,
0.25842925906181335,
-0.42994657158851624,
-0.9081445932388306,
-0.3383067846298218,
-1.1252638101577759,
0.6884874701499939,... |
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... | 2, He packed himself a lunch in a basket. | 8 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.5416203737258911,
0.9650015234947205,
0.17083127796649933,
-0.7794779539108276,
0.027445631101727486,
0.035930901765823364,
0.6127346754074097,
0.5028742551803589,
0.41293489933013916,
0.07207030057907104,
-0.5948173403739929,
-0.08393115550279617,
-0.6808948516845703,
0.092506870627403... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a woman cross country skiing on a snowy trail'. Count the number of vowels in the given sentence.
A: | 13 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.10564708709716797,
0.6385096311569214,
-1.1274986267089844,
-0.5388445854187012,
0.07526695728302002,
0.1589808613061905,
-0.12575756013393402,
0.7988080978393555,
0.03919534385204315,
-0.7994073629379272,
-0.6738768219947815,
-0.02602400630712509,
0.2092018723487854,
-0.6252807378768921... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Grazas.
Solution: Gracias.
Why? The Galician sentence is correctly translated into Spanish, because... | Con 180 mts de visibilidad; tenemos las cuerdas de seguridad; el hielo se mueve por todos lados. | 0 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.5904005765914917,
0.6309557557106018,
-0.11637723445892334,
-0.5372549295425415,
-0.01195000670850277,
-0.9187887907028198,
0.5270235538482666,
0.38521572947502136,
-0.32170990109443665,
-0.34934258460998535,
-0.5753487348556519,
0.0357467457652092,
-0.3746128976345062,
0.08865296840667... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Example Input: So no ego problems.
Example Output: Żadnego problemu z ego.
Example Input: On the other side of that legal wall are the legal persons.
Example Output: Z drugiej strony tego muru są osoby - podmioty prawa.
E... | Nikt nie wie, jakie to trudne, ale pewnie dowiemy się za kilka lat.
| 3 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.5248622894287109,
1.1127032041549683,
0.19102336466312408,
-0.36442723870277405,
-0.4915224313735962,
-0.282489538192749,
0.627536416053772,
-0.13004964590072632,
0.16459159553050995,
-0.767304539680481,
0.3646705150604248,
1.0348381996154785,
-0.5592166781425476,
-0.5868508219718933,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Q: Commen... | Identity-attack | 4 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.2398410439491272,
0.17061100900173187,
0.4725218117237091,
0.41597816348075867,
-0.19032518565654755,
0.05140610784292221,
0.20386216044425964,
0.6835368871688843,
0.4703492522239685,
0.8356151580810547,
0.13851791620254517,
-0.5171613693237305,
-0.4498586058616638,
-0.713374137878418,
... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Outra vez, os ollos e mans de Avalokiteshvara.
| Nuevamente los ojos y manos de Avalokiteshvara. | 5 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.7936720848083496,
1.1040571928024292,
-0.053437888622283936,
-0.22952735424041748,
-0.1540689915418625,
-1.0084660053253174,
-0.07657232880592346,
0.42708078026771545,
-0.24121052026748657,
-0.5429574251174927,
-0.09457731246948242,
0.1761316955089569,
-0.18945330381393433,
0.2674160301... |
Detailed Instructions: In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements t... | 1 | 9 | NIv2 | task243_count_elements_in_set_intersection | zs_opt | [
0.38866865634918213,
0.5504264831542969,
-0.8647878170013428,
0.04753992706537247,
0.0263899527490139,
0.036668747663497925,
0.5021969676017761,
0.23229996860027313,
-0.11018071323633194,
-0.19591885805130005,
-0.5090861320495605,
0.003389118704944849,
0.5001314282417297,
0.110133603215217... |
Instructions: 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... | False | 3 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.2722407877445221,
0.3443577289581299,
-1.0522123575210571,
0.42257338762283325,
-0.2193041741847992,
-0.8357161283493042,
0.19069825112819672,
0.5971026420593262,
-0.6166741847991943,
0.10541695356369019,
-0.5119794607162476,
-0.19462287425994873,
0.3302328288555145,
-0.4738421738147735... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Hindi, generate a new Hindi 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... | आप शायद नयी मछलियों में एक हड्डी ढूँढ़ेंगे । | 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.6656453013420105,
0.1142822802066803,
0.04067988321185112,
0.4963042736053467,
-0.002447451464831829,
-0.6402914524078369,
0.20070843398571014,
0.2744921147823334,
-0.43146955966949463,
-0.8113305568695068,
-0.9070323705673218,
-0.48007816076278687,
0.24285730719566345,
0.46344253420829... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Input: Consider Input: I used to live on the East Coast
Output: Did you move from the East Coast?
Input: Consider Input: I really don't like them
Output: Are you into any sci-fi movies?
Input: Consider Inpu... | Output: Do you like to dine-in or take-out?
| 2 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.4396108388900757,
0.3288629651069641,
-0.26512688398361206,
0.013037632219493389,
0.16814902424812317,
-0.18122082948684692,
0.20191137492656708,
0.3246033489704132,
0.2019161880016327,
-0.1532561480998993,
0.32120487093925476,
-0.050183381885290146,
-1.0174570083618164,
-0.326959967613... |
Part 1. Definition
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Part 2. Example
Endlich . Endlich erscheint Staffel 2 auf DVD. Habe ewig d... | POS | 7 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
-0.1875571757555008,
0.06267908215522766,
-0.6653823852539062,
0.1416577249765396,
0.11598868668079376,
0.5760477185249329,
1.3390202522277832,
0.6086742877960205,
0.5733543634414673,
0.6645893454551697,
-0.3012600243091583,
-0.3255539536476135,
-0.20031017065048218,
-0.22042834758758545,
... |
Teacher:In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? Solv... | [-176800, -269568, -832, -1272800, 74256] | 6 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
0.07803242653608322,
-0.3867780864238739,
-0.4885435402393341,
-0.39106279611587524,
0.12987390160560608,
-0.022228065878152847,
1.0051403045654297,
0.40780457854270935,
-0.05860617384314537,
-0.37105539441108704,
-0.8075579404830933,
-0.2530018389225006,
-0.7229343056678772,
-0.3638921976... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: あまり多くのことは語れません
Output: | ولن يمكنني القول كثيرا عنها | 2 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.12837915122509003,
0.22980159521102905,
0.10004492104053497,
-0.3605060279369354,
-0.3062508702278137,
0.23456940054893494,
0.11584217846393585,
-0.2293829321861267,
0.23741787672042847,
-0.5260643362998962,
-1.117877721786499,
-0.2995033264160156,
-0.5078478455543518,
0.2768929898738861... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
One example: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Solution is here: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט.... | משחקי המחשב מתקרבים לקפיצה אבולוציונית, נקודה בה עולמות המשחקים ייראו וירגישו אמיתיים כמו הסרטים שאנו רואים בקולנוע, או החדשות בטלוויזיה. | 6 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.5922902822494507,
0.42374297976493835,
-0.16754072904586792,
-0.28720623254776,
-0.29302072525024414,
-0.11102504283189774,
1.007751703262329,
0.3897688686847687,
-0.9849491119384766,
-0.48297369480133057,
0.15119203925132751,
-0.2942955791950226,
-1.0248770713806152,
-0.096210233867168... |
Teacher:Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the b... | run around right thrice and walk around right | 6 | NIv2 | task131_scan_long_text_generation_action_command_long | zs_opt | [
0.48398420214653015,
0.8483394384384155,
-0.39424929022789,
-0.10113475471735,
-0.4016610383987427,
0.30801844596862793,
-0.017105506733059883,
0.7606185674667358,
-0.3658496141433716,
-0.2956284284591675,
-0.837319552898407,
-0.22409117221832275,
-0.7424184083938599,
-0.1484338790178299,
... |
Definition: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the in... | [['j', 'C'], ['j', '7'], ['C', '7']] | 2 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.3937698006629944,
0.630420446395874,
-0.776075541973114,
0.135259211063385,
0.4619460105895996,
-0.07891084253787994,
0.41339024901390076,
0.09835055470466614,
0.49038732051849365,
0.0073996796272695065,
-0.3030363917350769,
0.06225019693374634,
-0.20366135239601135,
0.09711705148220062... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
One example: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
Solution is here: 3
Explanation: The wor... | 3 | 6 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.6172199845314026,
0.29763078689575195,
-0.13623982667922974,
-0.6247047781944275,
-0.24428248405456543,
0.03126632049679756,
0.2969400882720947,
0.1370115876197815,
0.46247798204421997,
-1.2380671501159668,
-0.4737665057182312,
-0.432731032371521,
-0.008574368432164192,
0.052181348204612... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Ex Input:
[178, 118, 1... | [84, 346, 64, 100, 7]
| 1 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.7497150897979736,
0.3188025653362274,
-0.25267893075942993,
-0.3592110872268677,
-0.24409225583076477,
0.3202716112136841,
1.0876408815383911,
0.12374065816402435,
-0.28470325469970703,
0.26286131143569946,
-1.188796043395996,
-0.17074087262153625,
-0.30547431111335754,
-0.3002877533435... |
Detailed 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.
Problem:[99, -59, -42, -54, 65]
Solution: | [-59, 65] | 8 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.26949596405029297,
-0.08219216763973236,
-0.6809011101722717,
-0.9750114679336548,
0.15030118823051453,
0.5047562122344971,
1.093809962272644,
0.04873783886432648,
-0.4048823118209839,
-0.070183165371418,
-0.7697128057479858,
0.1239236369729042,
-0.06478233635425568,
-0.4210852384567261,... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: جدید ٹیکنالوجی کو تیزی سے اختیار کرنے کی حوصلہ افزائی کرتے ہوئے وزیراعظم نے کہا کہ مٹی کی جانچ ہاتھ میں پکڑنے والے آلات کے ذریعے ہی ممکن ہے۔ انہوں ... | Solution: ২) ধারা ৪(৪)(বি)- ৬ জন সদস্যের পরিবর্তে ১০ জন সদস্য | 5 | NIv2 | task1070_pib_translation_urdu_bengali | fs_opt | [
0.23593464493751526,
0.8126198053359985,
-0.5343928337097168,
-0.3638033866882324,
-0.02822107821702957,
-0.6197229027748108,
0.4684862792491913,
0.1811550408601761,
-0.3241692781448364,
-0.005738153588026762,
-0.8672832250595093,
-0.3231104612350464,
0.6250380873680115,
0.4253641068935394... |
instruction:
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the lab... | informal
| 9 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.07810893654823303,
0.13501688838005066,
-0.28598326444625854,
0.09960513561964035,
0.18143397569656372,
-0.4592803120613098,
0.9233986139297485,
0.4549374580383301,
-0.18065741658210754,
0.07554206252098083,
-0.35392558574676514,
-0.026599518954753876,
-0.5516558885574341,
0.229014307260... |
Q: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Expression of BCL - 6 protein , which is restricted to GC B cells throughout physiologic B - cell maturation , was detected in 100 % AIDS... | BCL - 6 | 7 | NIv2 | task1480_gene_extraction_jnlpba_dataset | zs_opt | [
-0.18368151783943176,
0.7172329425811768,
0.10865802317857742,
-1.1060512065887451,
-0.6426606774330139,
-0.711564838886261,
-0.1745692789554596,
1.0639095306396484,
0.09167559444904327,
-0.27590492367744446,
-0.7925580739974976,
-0.23773261904716492,
-0.7371265292167664,
0.384895503520965... |
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