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 |
|---|---|---|---|---|---|---|
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | point in time
| 7 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.26792842149734497,
-0.456981897354126,
0.5280002951622009,
0.4464700222015381,
0.8727544546127319,
-0.13388961553573608,
-0.6425632238388062,
0.5539988875389099,
-0.33404961228370667,
0.18102049827575684,
-0.5203413367271423,
0.45177990198135376,
-0.4270721673965454,
0.042832151055336,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Okazuje się, że niższe zarobki i niedocenianie ma swoje zalety — przynajmniej dla społeczeństwa.
Output: | Quindi salta fuori che essere pagate meno e lodate meno ha i suoi vantaggi — almeno per la società. | 1 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.4900168478488922,
1.1081526279449463,
0.27181029319763184,
0.08007507771253586,
0.15768727660179138,
0.16233330965042114,
0.7572850584983826,
1.0050063133239746,
0.08161310851573944,
0.011797461658716202,
-0.7944083213806152,
-0.027687542140483856,
-0.19546456634998322,
0.08397096395492... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
PROBLEM: Ero terrorizzato. Tutti eravamo terrorizzati.
SOLUTION: Wszyscy się baliśmy.
PROBLEM: Fateli cucinare. Grande pranzo oggi, fategli fare esperimenti culinari.
SOLUTION: Pozwólcie im gotować, zaang... | Trzeba opublikować wszystkie badania na ludziach, dotyczące używanych obecnie leków. Niech wszyscy wiedzą, że to problem, który należy naprawić.
| 8 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.07586610317230225,
0.764581561088562,
-0.1891404241323471,
-0.050691623240709305,
-0.5009928345680237,
-0.5233712196350098,
1.336735725402832,
-0.09302295744419098,
-0.3006432354450226,
-0.11053600907325745,
-0.5282683372497559,
0.45976316928863525,
-0.38202518224716187,
0.3995302915573... |
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 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 less than the length of A. i will always ... | 6899D41835481461162631771300989Kq2963y789350093109u193346356643 | 3 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.2256450057029724,
0.45793992280960083,
-0.3615584373474121,
-1.1384587287902832,
-0.16925710439682007,
-0.14228887856006622,
0.19978946447372437,
-0.48373955488204956,
-0.27653369307518005,
0.18768122792243958,
-1.22685706615448,
0.4933217763900757,
0.045287251472473145,
-0.446188926696... |
Part 1. Definition
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No'... | Yes | 7 | NIv2 | task1517_limit_classfication | fs_opt | [
-0.49988436698913574,
0.12816528975963593,
0.3469710350036621,
0.9069890975952148,
-0.160019189119339,
-0.14030161499977112,
0.2531954050064087,
1.0122729539871216,
0.18285459280014038,
0.03954296559095383,
-0.0453043058514595,
-0.3793548345565796,
-0.32460975646972656,
0.10378073900938034... |
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 list. If there are no even numbers in an inner list you sho... | [-176, 960, 42, 1680, -28, -240, -32]
| 1 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.12524324655532837,
0.042542509734630585,
-1.1700711250305176,
-0.1148461103439331,
-0.19227422773838043,
-0.43388885259628296,
0.9196193814277649,
0.701453447341919,
-0.4235786199569702,
-0.21933238208293915,
-1.037386178970337,
0.3930739462375641,
-0.535372257232666,
-0.4692833721637726... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a ... | B | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.11729173362255096,
0.2747628092765808,
0.17766819894313812,
-0.9860330820083618,
0.25245875120162964,
0.16711723804473877,
0.03691116347908974,
0.7456867694854736,
0.517791748046875,
0.05048337206244469,
-0.4636140763759613,
-0.29619506001472473,
0.17146869003772736,
-0.2956424355506897... |
Instructions: 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
Input: Event:PersonX buys PersonX's grocerie... | taken care of | 3 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.1773647964000702,
0.05429849028587341,
0.10600676387548447,
-0.06925525516271591,
-0.5574234127998352,
-0.5789002180099487,
0.8397030830383301,
0.4503260552883148,
0.1859206259250641,
-0.4518808126449585,
0.31390222907066345,
-0.11517773568630219,
-0.5687218904495239,
-0.0310509596019983... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Q: Despois diso, o efecto da evolución disípase por completo.
A: それから先は、進化の効果は全くなくなってしまう
****
Q: Máis publicidade para os animais do océano, Vibrio fischeri vive dentro desta lura.
A: ビブリオ・フィシェリは、海の蛍光灯であるこのイカの中に住んでいます... | 陸上では200歳の牛や鶏を食べたりしません
****
| 4 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.4503109455108643,
0.4449153542518616,
-0.07116413116455078,
-0.41607189178466797,
-0.7164597511291504,
-0.9185572862625122,
0.5239884853363037,
0.07693354040384293,
-0.5683586597442627,
-0.7353454828262329,
0.12634672224521637,
-0.23694074153900146,
-1.0960583686828613,
0.58715343475341... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.3906403183937073,
0.6113491058349609,
0.6026696562767029,
-0.12514367699623108,
-0.6339963674545288,
-0.11496830731630325,
-0.34401077032089233,
1.0788750648498535,
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0.050273600965738297,
-0.9186902642250061,
-0.6255407929420471,
-0.48559674620628357,
0.04045340046286... |
Given the task definition, example input & output, solve the new input case.
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Example: Female snakes incubate eggs inside of their bodies, giving bi... | c | 1 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.9965237975120544,
0.552624523639679,
-0.5587918758392334,
-0.22333621978759766,
-0.040794797241687775,
0.053584806621074677,
0.5279574394226074,
1.3419826030731201,
-0.022429194301366806,
0.08497004210948944,
-0.011122380383312702,
0.26314109563827515,
-0.29832738637924194,
0.1370305716... |
Teacher:In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer wi... | against | 6 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.35872727632522583,
1.1413661241531372,
-0.93724125623703,
-0.17053842544555664,
-0.4698290228843689,
-1.221295952796936,
0.21911025047302246,
0.823733925819397,
0.3950209617614746,
-0.2779489755630493,
0.4834181070327759,
0.14288052916526794,
-1.107516884803772,
-0.004657742567360401,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE man | 8 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.15591153502464294,
0.3145921230316162,
-0.8546634316444397,
0.08155454695224762,
-0.2831674814224243,
-0.2611965537071228,
1.422011375427246,
0.592032253742218,
0.011131374165415764,
0.008079759776592255,
-0.3395032286643982,
0.012309553101658821,
-0.3372385501861572,
0.0791542530059814... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example: Pero comenzamos con la idea de un niño por vez.
Example solution: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Example explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is... | Solution: אני חושב שעם פרוטונמייל, הגענו מאוד קרוב לעשות את זה. | 5 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7281826734542847,
0.34694403409957886,
0.5385993719100952,
-0.4863068461418152,
-0.251587837934494,
0.12069842964410782,
1.0639746189117432,
0.42337939143180847,
0.6735142469406128,
-0.41713935136795044,
-0.23962242901325226,
0.34828266501426697,
-1.1620025634765625,
0.20883049070835114... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
--------
Question: To scenarzysta patrzący na scenariusz filmu, który nie został zaaprobowany przez ponad pół wieku.
Answer: É um argumentista que olha para o guião de um filme que não consegue ter luz verde há mais de mei... | (Risos) Ok.
| 7 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.47378602623939514,
0.8725122213363647,
-0.2259911149740219,
-0.4206524193286896,
-0.3579323887825012,
-0.12152707576751709,
0.4529135227203369,
0.7260665893554688,
0.42894113063812256,
-0.24340501427650452,
-0.1584060788154602,
0.45543771982192993,
-0.7455399632453918,
0.843832969665527... |
Detailed Instructions: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2,... | [64, 2048, 4096, 2048, 8, 32, 2] | 9 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.5450388193130493,
1.5608747005462646,
0.14648506045341492,
-0.43474316596984863,
-0.3219839930534363,
0.24403893947601318,
0.3808249235153198,
-0.18389780819416046,
-0.07574847340583801,
0.2614309787750244,
-0.28502732515335083,
0.8159414529800415,
-0.12825028598308563,
0.11368520557880... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | 3 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.22342124581336975,
0.5275583267211914,
0.10321156680583954,
-0.37715500593185425,
-0.6826565265655518,
-0.4722200632095337,
1.233440637588501,
0.3602171540260315,
-0.20203763246536255,
-0.6098895072937012,
-0.23855546116828918,
-0.4610053300857544,
-0.6684509515762329,
0.4392182528972626... |
Given the task definition, example input & output, solve the new input case.
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price r... | Moderate | 1 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.5541234612464905,
0.3630918860435486,
-0.3315523862838745,
-0.09953860193490982,
0.4086702764034271,
-0.3460829257965088,
0.22808989882469177,
0.8003720641136169,
-0.07501742243766785,
0.030759818851947784,
0.47857239842414856,
0.12142221629619598,
-0.022009313106536865,
-0.2083474993705... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: The only evidence of any racial slurs came when Jeantel took the stand and testified that while she was on the phone with Trayvon, Trayvon called George a "creepy ass crac... | N'akụkụ aka nke ọzọ, ma ọ bụrụ na-ekiri Cesar Millan, ama Dog Whisperer kụziiri m ihe ọ bụla, ọ bụ ya na ndị nwe na-adịghị aghọta ha nkịta asụsụ na ụwa ha dị ka ihe dị ka ha na-atụ anya.
| 0 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.668569803237915,
0.33597326278686523,
0.33979302644729614,
-0.33784887194633484,
-0.015981052070856094,
-1.1330115795135498,
-0.12441436201334,
0.30209988355636597,
0.04723983258008957,
-0.216512531042099,
-0.002547086216509342,
0.27353233098983765,
-0.7121993899345398,
-0.3384200930595... |
In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
--------
Question: Este artículo describe una propuesta de implementaci... | es
| 7 | NIv2 | task265_paper_reviews_language_identification | fs_opt | [
-0.1016022264957428,
0.34239423274993896,
0.33073121309280396,
-0.2653168737888336,
0.5122790336608887,
-0.539262592792511,
1.2956349849700928,
0.5710402727127075,
0.528587281703949,
0.3093213438987732,
0.0670902281999588,
0.7167955040931702,
0.27496910095214844,
0.11985911428928375,
-0.... |
Teacher:Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Teacher: Now, und... | Wow I would love to have some of those when watching my british tv shows! | 6 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.34248071908950806,
0.3464323580265045,
-0.07500515133142471,
-0.5587610006332397,
-0.4179592430591583,
0.5842537879943848,
1.173404335975647,
0.10828828811645508,
0.41170382499694824,
-0.22097817063331604,
0.16527009010314941,
0.05327296257019043,
-0.4183255434036255,
0.3565803766250610... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
[Q]: Aquí está Ze hablando de Las Vegas: (Video) Ze Frank: Las Vegas fue construido en medio de un enorme desierto.
[A]: Aqui está o Ze a falar sobre Las Vegas: (Vídeo) Ze Frank: Las Vegas foi construída no meio de um de... | O cão ia para o canil durante o dia.
| 5 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
0.05078656226396561,
0.5580546855926514,
-0.2954566478729248,
0.02903153747320175,
-0.4391542673110962,
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-0.10061115026473999,
1.609810471534729,
-0.46888959407806396,
0.14027488231658936,
-0.1794445961713791,
0.2605215907096863,
0.09240391105413437,
-0.1732677817344665... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with... | No | 1 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.8336485624313354,
0.33289802074432373,
0.006960678845643997,
0.3633083701133728,
0.33386340737342834,
-0.1635405719280243,
0.28383874893188477,
0.7507758140563965,
-0.35054516792297363,
0.10945955663919449,
-0.3083888292312622,
-0.5605853796005249,
-0.14188644289970398,
-0.2553223669528... |
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.
[EX Q]: I recommend this spot! Food is delicious service is great dinning area is cute & the lounge are is coo... | NEGATIVE
| 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
0.333645224571228,
0.2503620386123657,
-0.24535110592842102,
-0.26672089099884033,
-0.0015917267883196473,
-0.17318278551101685,
0.12152568995952606,
1.0118863582611084,
0.11902710795402527,
0.048904769122600555,
0.3025682866573334,
0.058901429176330566,
-0.1111917495727539,
0.185529857873... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences a... | 1 | 1 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.5402228832244873,
0.4282766282558441,
-0.18849948048591614,
0.16421887278556824,
0.3716129660606384,
-0.07210122048854828,
0.28429490327835083,
0.8871966004371643,
-0.03588899224996567,
0.037449538707733154,
-0.10244901478290558,
0.022978181019425392,
0.23372414708137512,
-0.27247425913... |
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.
Example input: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte... | HLA DQ | 3 | NIv2 | task1480_gene_extraction_jnlpba_dataset | fs_opt | [
-0.8679412603378296,
0.6119654774665833,
-0.41362592577934265,
-0.3359602093696594,
0.32053011655807495,
-0.596056342124939,
0.3746223747730255,
0.31061166524887085,
0.23872268199920654,
-0.3194507360458374,
-0.2189820259809494,
0.24015748500823975,
-0.6348379850387573,
-0.0813588947057724... |
You will be given a definition of a task first, then some input of the task.
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Niccolo Machiavelli question: in what city did machiavelli live?
Out... | ['Florence'] | 1 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.031682416796684265,
0.29859715700149536,
-0.06568703055381775,
0.4290608763694763,
-0.6118834614753723,
-0.4436148405075073,
1.2156994342803955,
0.31307247281074524,
0.42060452699661255,
0.06856682151556015,
-0.3852773904800415,
0.3829980492591858,
-1.2540068626403809,
0.165908977389335... |
Given the task definition and input, reply with output. 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 y... | Bobby's father promises to take him to the zoo >Causes/Enables> Bobby is excited | 5 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.02387840300798416,
0.624311089515686,
0.27863988280296326,
-0.17445442080497742,
-0.47400355339050293,
-0.3350376784801483,
0.032470159232616425,
1.2151631116867065,
-0.28457486629486084,
0.0477387011051178,
-0.7479540109634399,
0.07461123168468475,
-0.31531450152397156,
-0.3012899160385... |
You will be given a definition of a task first, then some input of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @Camp... | true | 1 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.4678550958633423,
0.26323452591896057,
0.8159888982772827,
0.5382356643676758,
-0.27098414301872253,
-1.3596450090408325,
-0.36643242835998535,
0.8195781707763672,
0.08095017820596695,
0.39244544506073,
-0.8133876323699951,
-0.2962808310985565,
-0.23051276803016663,
-0.631503701210022,
... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | background | 3 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.024364931508898735,
0.482724130153656,
0.163588285446167,
-0.448408305644989,
0.12585924565792084,
0.4389803409576416,
-0.44611167907714844,
1.1642191410064697,
-0.09791944921016693,
0.7888853549957275,
-0.8635996580123901,
0.18674461543560028,
0.41468510031700134,
0.3843722343444824,
... |
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 Italian.
התחלתי ללמוד את כל הרעיון הזה, של מה זה מחשב? הוא אמצעי מוזר.
Output: | Ho cominciato a studiare questo concetto su cosa sia il computer. È uno strano medium. | 1 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.071889728307724,
0.8351163864135742,
-0.23266847431659698,
0.3971220850944519,
-0.5083590745925903,
0.4109082818031311,
0.6030546426773071,
0.6784666776657104,
1.0527502298355103,
-0.3422241806983948,
-0.6207276582717896,
0.12661847472190857,
-0.16021548211574554,
0.32199835777282715,
... |
In this task you are given a premise and two alternatives in Vietnamese. 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.
E... | 1 | 3 | NIv2 | task1182_xcopa_commonsense_reasoning_vi | fs_opt | [
-0.4275808334350586,
0.4413864016532898,
-0.07115866243839264,
0.08162496984004974,
-0.4647473692893982,
-0.10681144893169403,
0.4027371406555176,
1.124712586402893,
0.38776829838752747,
0.3598968982696533,
-0.1703101396560669,
-0.1215461790561676,
0.4661964774131775,
-0.027709990739822388... |
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
[Q]: @beenthatkyd so I scrolled back up on the '17 GC because I missed it earlier and man you toooooooooo funny 😂😂😂😂😂 hilarious headassss!!!
[A]... | Happy
| 5 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | fs_opt | [
-1.79475998878479,
0.7377692461013794,
0.37349992990493774,
-0.8356807827949524,
-0.1908094435930252,
-1.0738379955291748,
0.4554557800292969,
0.30041664838790894,
0.42638900876045227,
-0.02712382934987545,
-0.5252801179885864,
-0.07063973695039749,
-0.6482186317443848,
0.04639881849288940... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
I made my mother feel irritated. | female | 0 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.46463343501091003,
0.5486856698989868,
-0.5105582475662231,
-0.8603832721710205,
-0.34958335757255554,
-0.4412964880466461,
0.33513200283050537,
0.4267488121986389,
1.0558403730392456,
0.3044371008872986,
-1.0074646472930908,
-0.3675645589828491,
-0.9176833629608154,
-0.5030068159103394... |
Definition: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Review: This was a superb episode, one of the be... | no | 2 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.2949673533439636,
-0.22522667050361633,
0.40709495544433594,
0.16997799277305603,
0.6595653295516968,
-0.8707208633422852,
1.0590283870697021,
0.8969759941101074,
-0.15600018203258514,
-0.012590229511260986,
-0.9029446244239807,
-0.18143461644649506,
-0.08898335695266724,
0.139374718070... |
Teacher:You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Teacher: Now, understand the problem? Solve this instance: Personality: This is my se... | Awesome! I play in the nfl. | 6 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.1952286660671234,
0.15252560377120972,
-0.41570746898651123,
0.12035563588142395,
0.028748784214258194,
-0.2382865995168686,
0.21300169825553894,
0.36681610345840454,
-0.40749189257621765,
-0.2705357074737549,
0.2569616436958313,
-0.35476791858673096,
-0.09922166168689728,
-0.4720177054... |
TASK 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".
PROBLEM: Paragraph: The envelope spike... | False
| 8 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.5178327560424805,
0.26250147819519043,
-0.6001125574111938,
0.24150928854942322,
0.7131859064102173,
0.17586761713027954,
0.6739135980606079,
0.6268147230148315,
-0.41622355580329895,
0.4018590748310089,
-0.49513959884643555,
0.643183708190918,
0.12083250284194946,
0.353238046169281,
-... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example input: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Example output: B
Exampl... | A | 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.6117979288101196,
0.34665170311927795,
-0.7016990780830383,
-0.20330311357975006,
0.03135261684656143,
-0.7124220132827759,
0.9520915150642395,
0.8205986618995667,
0.035192377865314484,
0.14010444283485413,
0.41480621695518494,
0.1572779417037964,
-0.14949189126491547,
-0.230081602931022... |
Q: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output... | No | 7 | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt | [
-0.6415705680847168,
0.8123786449432373,
-0.3823102116584778,
-0.20033004879951477,
-0.43777695298194885,
-0.506279706954956,
1.2305755615234375,
0.5419426560401917,
-0.22093868255615234,
0.16995081305503845,
0.13383132219314575,
-0.07096265256404877,
-1.0862599611282349,
0.056632049381732... |
TASK DEFINITION: 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.
PROBLEM: Sentence1: My friend Sharon was nervous ... | A
| 8 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.03262664005160332,
0.8582432270050049,
-0.7234280705451965,
-0.5918905138969421,
-0.04408847540616989,
-0.40351152420043945,
0.7325602769851685,
1.11532461643219,
0.4486091732978821,
-0.2596137523651123,
-0.294318825006485,
0.10393370687961578,
-0.2344667911529541,
-0.5253553986549377,
... |
Teacher:In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Teacher: Now, understand the problem? Solve this instance: Zero of a function -- If the function maps real numbers ... | is the zero of a function the x intercept | 6 | NIv2 | task1660_super_glue_question_generation | zs_opt | [
0.19115808606147766,
-0.019665200263261795,
-0.5538545846939087,
0.027560364454984665,
0.060021787881851196,
0.07792406529188156,
0.5813761949539185,
0.5092270970344543,
0.2864772081375122,
0.060928843915462494,
-0.13497161865234375,
-0.5819074511528015,
-0.08226233720779419,
-0.1754759252... |
Given the task definition, example input & output, solve the new input case.
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer w... | d'incendiar Sakamoto | 1 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.8900960683822632,
0.47793352603912354,
-0.604041576385498,
0.22990593314170837,
0.29678845405578613,
-0.18124474585056305,
0.6758689880371094,
1.2552976608276367,
-0.12229880690574646,
-0.3855966031551361,
-0.37512004375457764,
0.14437368512153625,
-0.42556002736091614,
-0.37954893708229... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: 9×19mm Parabellum -- The 9×19mm Par... | 0 | 1 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.2951086759567261,
0.17491859197616577,
-0.36737582087516785,
-0.4124123454093933,
-0.4768579304218292,
-0.5697099566459656,
0.9682692289352417,
0.6390721201896667,
0.30657103657722473,
-0.07715770602226257,
-0.3853142261505127,
0.5134572982788086,
-1.1813979148864746,
0.0233657844364643... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
3929 + 3158 - 5187 | 5958 | 0 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.3156415820121765,
0.25221896171569824,
-1.2522163391113281,
-0.03479815274477005,
-0.34076133370399475,
0.9526329040527344,
0.9256595969200134,
1.6114020347595215,
0.3484335243701935,
-0.7516329288482666,
-0.8061327934265137,
-0.4167293608188629,
-0.24102948606014252,
0.3439686298370361... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Ex Input:
簡単なことではありませんそれは間違いない
Ex Output:
و آسان نخواهد بود. این قطعی است.
Ex Input:
この取り組みは新しい試みでした
Ex Output:
بنابراین کل این پروژه یک آزمایش بود.
Ex Input:
政策の改革に成功したのは教育改革である「トップへの競争」プログラムです
Ex Output:
| چیزی که موجب تغییر عمده سیاست گذاری شد سرعت دادن به محرک های نوآوری واصلاحات برای آموزش و پرورش بود.
| 1 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.855006217956543,
-0.05311591923236847,
-0.13008864223957062,
-0.25633201003074646,
-0.7995865345001221,
-0.24182680249214172,
0.8909941911697388,
0.66175377368927,
0.2871597707271576,
-0.40377330780029297,
-1.0331733226776123,
0.12333623319864273,
-0.0786471888422966,
0.3610577583312988... |
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 | 3 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.5565398335456848,
0.4409559965133667,
0.2304682731628418,
-0.19105884432792664,
-0.033496588468551636,
-0.3718489110469818,
0.04158709570765495,
0.6083609461784363,
0.2306915521621704,
0.2706860601902008,
-0.15950435400009155,
-0.2654151916503906,
-0.08848397433757782,
-0.10616880655288... |
TASK DEFINITION: In this task, you are given a sentence in English, and your task is to translate it into Persian.
PROBLEM: Prachatai's infographic lists some of the ordinary activities the authorities have suppressed over the past nine months.
SOLUTION: دادهنمایی پراچاتای کارهای سادهای را فهرست میکند که مقامات در ... | یکی از بحثهای دیگر این نشست پیرامون تناقض در عملکرد شرکتهای فناوری اینترنتی بود که مدعی انتشار آزادانه افکار، اطلاعات و عقاید هستند ولی در مورد کاربران ایرانی روشهای سختگیرانهای اعمال میکنند.
| 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.09537013620138168,
0.39621901512145996,
-0.34458833932876587,
-0.5799026489257812,
-0.4487975835800171,
-0.06167794018983841,
1.073211908340454,
0.4431699216365814,
0.7953072786331177,
0.45089414715766907,
-0.7897453308105469,
0.6088413000106812,
-0.25231653451919556,
-0.023588534444570... |
Detailed Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
See one example below:
Problem: Ja... | Swedish | 4 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.11876848340034485,
0.3086623251438141,
0.5714853405952454,
-0.3541495203971863,
0.4273334741592407,
-0.6686573028564453,
0.18884769082069397,
0.7506088018417358,
0.7506111860275269,
0.11189848184585571,
-0.27094006538391113,
0.19403204321861267,
-0.3074028193950653,
-0.25047385692596436... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Ex Input:
In a large pot, melt the butter over moderately low heat., Add the scallion and celery and cook, stirring occasionally, until ... | Rolls, golden raisins, currants, orange juice, flour, flour, salt, lemon rind, orange rind, ground cinnamon, nutmeg, yeast, milk, honey, unsalted butter, eggs, Cooking spray, water, egg white, powdered sugar, milk, lemon juice
| 1 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
1.0773200988769531,
-0.07308007776737213,
-0.49459484219551086,
0.7454797029495239,
0.3260890245437622,
0.34230732917785645,
1.0221896171569824,
1.19091796875,
-0.30701279640197754,
-0.18999291956424713,
-0.15665920078754425,
0.12704572081565857,
-0.23612327873706818,
-0.3219054341316223,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Jeździ 10% szybciej i pobiera 15% mniej energii elektrycznej. | Facendolo andare più veloce del 10% con il 15% di elettricità in meno. | 0 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.4185965061187744,
0.926642656326294,
-0.6705164909362793,
0.002963121049106121,
-1.388132095336914,
-0.5708973407745361,
0.4049345850944519,
0.5750304460525513,
0.16956201195716858,
-0.5361507534980774,
-0.8460044860839844,
0.1329125165939331,
0.184316486120224,
0.07152776420116425,
-... |
Teacher:The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? Solve this instance: This boy m... | joy | 6 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.1777878701686859,
0.16000454127788544,
0.2543967366218567,
-1.0877646207809448,
-0.06355889141559601,
-0.6106377840042114,
0.6288465857505798,
0.9328737854957581,
0.08161690831184387,
-0.5444978475570679,
-0.6546745896339417,
-0.35880041122436523,
-0.722069501876831,
-0.4550952315330505... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: The first was the decision to establish within the European Union three committees for decision making relating to cr... | No | 4 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
0.39326998591423035,
0.2513015866279602,
0.1649807244539261,
0.6248698234558105,
0.6294813752174377,
-0.7928286194801331,
0.8408223986625671,
0.733382523059845,
-0.1687297523021698,
0.6765209436416626,
0.6186577677726746,
0.2907194495201111,
-0.6306143999099731,
-0.2508147358894348,
-0.1... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | Output: [-56.5]
| 2 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.3110767602920532,
0.22341862320899963,
-0.9404866695404053,
-0.15918153524398804,
0.22525587677955627,
0.5989034175872803,
0.6686396598815918,
0.8100697994232178,
-0.07957601547241211,
-0.39437738060951233,
-1.092787265777588,
-0.2792840600013733,
0.06181902438402176,
0.1192588657140731... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_basket
| 7 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.22995200753211975,
-0.6594951748847961,
-0.3583156168460846,
0.195559561252594,
-0.2246047854423523,
-0.48469021916389465,
-0.2526891231536865,
1.0125157833099365,
-0.13347959518432617,
0.11101002991199493,
0.0982675552368164,
0.5138839483261108,
-0.09526120126247406,
0.16047118604183197... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : English isn't my first language, I apologize for any mistak... | no | 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.3422536849975586,
-0.18489915132522583,
0.27320384979248047,
-0.21031510829925537,
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0.220656618475914,
-1.2586027383804321,
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... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['In', 'the', 'last', 'video,', 'we', 'talked', 'about', 'how', 'the', 'cell', 'uses', 'a', 'sodium', 'potassium', 'pump', 'and', 'ATP', 'to', 'maintain', 'its', 'potential', 'difference', 'between', 'the', 'inside', 'of', 'the', 'cell', 'or', 'the', 'inside', 'of', 'the', 'neuron', 'and', 'the', '', 'outside', 'and', ... | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.8483409881591797,
0.2141263335943222,
-0.504986047744751,
-0.3202446401119232,
0.3460773229598999,
-1.0319762229919434,
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-0.5046931505203247,
-0.11498486995697021,
-0.42739763855934143,
-0.11158663034439087,
-0.4604795575141907,
0.06988680362701416... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal... | non-personal | 8 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.2530726492404938,
0.0662870705127716,
0.009091797284781933,
0.4113181233406067,
-0.4120933413505554,
-0.7727096676826477,
0.3576349914073944,
0.4540903866291046,
-0.40516602993011475,
0.021869152784347534,
-0.3530801236629486,
-0.6946858167648315,
-0.22805611789226532,
-0.54643034934997... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Problem:Jednak kluczem do jej pokonania jest wczesne wykrycie, wczesna reakcja.
Solution: | But the key to eradicating polio is early detection, early response. | 8 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.10433025658130646,
1.0667065382003784,
0.09957891702651978,
-0.6412780284881592,
-0.15811234712600708,
-0.5374644994735718,
0.8878587484359741,
-0.4113299250602722,
0.5103572607040405,
-0.4541093707084656,
-0.26661667227745056,
-0.07386860251426697,
-1.284563660621643,
0.239480257034301... |
Definition: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (... | Does the circadian rhythm of tryptophan in breast milk affect the rhythms of 6-sulfatoxymelatonin and sleep in newborn? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
1.1938607692718506,
-0.09343301504850388,
-0.564002275466919,
0.08260905742645264,
-0.27050668001174927,
-0.2180136740207672,
0.5334891080856323,
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0.13723042607307434,
-0.056732866913080215,
-1.115959882736206,
0.26659417152404785,
-1.1516075134277344,
-0.146063625812530... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Ściskacie swoją bazę w ramionach, nie chcecie jej puścić, dopóki nie przygotujecie dla niej pięknej witryny www.
Output: | מחבקים את הנתונים ולא משחררים אותם עד שיוצרים בשבילם אתר יפה. | 1 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.5170894861221313,
0.638544499874115,
-0.20274969935417175,
0.19205209612846375,
-0.4594688415527344,
0.259188711643219,
1.3850579261779785,
-0.18564292788505554,
0.8412588238716125,
0.3361574113368988,
0.13555794954299927,
0.7594552636146545,
-0.6711320877075195,
-0.053752124309539795,
... |
You will be given a definition of a task first, then some input of the task.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast'... | music | 1 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.36627209186553955,
0.6167583465576172,
0.02696153335273266,
-0.15244214236736298,
0.7673808336257935,
-0.43965160846710205,
0.06061682105064392,
0.08016200363636017,
-0.14528611302375793,
-0.15061622858047485,
-0.14808446168899536,
0.20156019926071167,
-0.16294866800308228,
-0.506675183... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | PersonX comforts PersonY when they tend to over react and panic. _ watches out for his friend.
| 7 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.9338924884796143,
0.34796103835105896,
0.010111505165696144,
0.21759048104286194,
0.41633450984954834,
-0.8905128240585327,
0.9492651224136353,
0.7376917600631714,
-0.48298799991607666,
-0.7520308494567871,
-0.25554022192955017,
-0.24499018490314484,
-0.8471903800964355,
0.04770049452781... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | PersonX often had nasal issues but PersonY didn't because _ was plagued a deviated septum. | 6 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.843782365322113,
0.7594770789146423,
0.1220121756196022,
-0.0907154381275177,
0.14972975850105286,
-0.2823019027709961,
1.0879114866256714,
0.8287729620933533,
0.09903150796890259,
-0.7301340103149414,
-0.24001625180244446,
-0.009562697261571884,
-0.7474322319030762,
0.20159265398979187,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Éste es el tiburón de puntas blancas, un animal que es considerado la cuarta especie más peligrosa, si prestan atención a ese tipo de listas.
A: | This is the oceanic whitetip shark, an animal that is considered the fourth most dangerous species, if you pay attention to such lists. | 4 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.3040525019168854,
1.0589332580566406,
0.009014176204800606,
-0.0876375138759613,
0.05057975649833679,
-0.6420933604240417,
0.26905566453933716,
0.8251416683197021,
0.6382189989089966,
0.24845094978809357,
0.06165684759616852,
0.9064407348632812,
-0.16956576704978943,
-0.1263342201709747... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Part 2. Example
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Answer: With economic growth, countries and... | This little boy will never step outside of the sacred fields that surround the men's hut for all that time, until he begins his journey of initiation. | 7 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.9665654301643372,
0.76791912317276,
0.14842471480369568,
-0.08543434739112854,
-0.219040185213089,
0.4168356955051422,
0.3590485155582428,
1.0155233144760132,
-0.20490747690200806,
-0.23504722118377686,
-0.5775488615036011,
0.18048512935638428,
-0.6837719678878784,
-0.18007919192314148,... |
Given the task definition, example input & output, solve the new input case.
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example: Sentence: 'Harry glanced again at the raw looking thing that trembl... | meet in | 1 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.008782104589045048,
0.9563778638839722,
0.11792603135108948,
-0.4107629060745239,
0.05408444255590439,
-0.24737448990345,
0.14817219972610474,
0.5966510772705078,
0.18007060885429382,
-0.3880130648612976,
-0.37844017148017883,
-0.09439496695995331,
-0.018372289836406708,
0.3135827779769... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2
| 5 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.3541000783443451,
0.6634821891784668,
0.1567317396402359,
-0.10500804334878922,
0.2669450342655182,
-0.7940301299095154,
0.044399015605449677,
0.7657425999641418,
-0.38997888565063477,
-0.21992100775241852,
-0.4800213575363159,
0.3191766142845154,
-0.7802265882492065,
-0.1875226199626922... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
[Q]: Person1: You are very late , but I was on pins and needles the whole time .
Person2: Oh , I ’ m sorry .
[A]:... | 1
| 5 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.5734355449676514,
0.5780200958251953,
-0.31805530190467834,
-0.25515443086624146,
0.3095877766609192,
-0.44941598176956177,
0.3522273600101471,
0.4619627296924591,
0.08343183249235153,
0.06838926672935486,
-0.40991586446762085,
-0.34508216381073,
0.07502730935811996,
-0.02625181898474693... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
--------
Question: هل عليك أن تركض في الماراثون أو تمارس اليوغا ؟
Answer: Debemos correr maratóns ou facer ioga?
Question: مثلاً ، لنأخذ المخاطرة. نعرف بأنّ المراهقين يميلون للمخاطرة ، هذا واقع.
Answer: Por exemplo, as c... | Pero hai outra posibilidade.
| 7 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.5606922507286072,
0.4008830785751343,
-0.8018691539764404,
-0.5042606592178345,
-1.1680302619934082,
-0.22065101563930511,
0.6313648223876953,
0.4086926281452179,
-0.29630887508392334,
-0.8621770143508911,
-1.0092270374298096,
-0.11702566593885422,
-0.7727295160293579,
0.057911150157451... |
Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hy... | entails | 3 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.13948550820350647,
0.4060937166213989,
-0.6358903050422668,
-0.0005880828248336911,
-0.48513278365135193,
-0.7563126087188721,
0.17193111777305603,
0.6615601181983948,
0.4400847554206848,
-0.200201153755188,
-0.6995691657066345,
-0.06431645154953003,
0.1328132152557373,
0.38321155309677... |
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 list.
Let me give you a... | 1, 2, 4, 5, 11 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.07546137273311615,
0.0864461213350296,
-0.22024402022361755,
-0.315979540348053,
0.5181866884231567,
-0.2073879987001419,
0.5600447654724121,
0.04059538617730141,
-0.5432195663452148,
0.2703934609889984,
-0.6878066062927246,
-0.2341780662536621,
-0.13934408128261566,
-0.1043236255645752... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example Input: Miss Rosa Dartle is a character in which Charles Dickens novel?
Example Output: james steerforth
Example Input: Who played the title role in the 1955 film 'Davy Crockett, King Of ... | eastenders
| 3 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.5134257078170776,
0.7606152296066284,
-0.795305609703064,
-0.019024115055799484,
-0.0033778659999370575,
-0.7942508459091187,
0.878849983215332,
0.5712134838104248,
0.4128389060497284,
-0.08987779170274734,
-0.6846341490745544,
-0.18319542706012726,
-0.828092634677887,
-0.361949563026428... |
Teacher:You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: 1945 – <MASK> ਦੇ ਰਾਜਦੂਤ ਰਾਊਲਫ਼... | ਸਵੀਡਨ | 6 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.22640535235404968,
1.2940254211425781,
0.19241979718208313,
0.15284410119056702,
-0.7924084663391113,
-0.18141061067581177,
0.8154988884925842,
0.5835905075073242,
0.10507680475711823,
-0.3991624712944031,
0.045931462198495865,
-0.20759624242782593,
-0.4812101721763611,
-0.18475005030632... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ្នកន... | No | 9 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.4228597581386566,
-0.47558823227882385,
0.1965973973274231,
-0.1407601535320282,
0.21633324027061462,
-1.0322396755218506,
-0.5535364151000977,
0.5881237387657166,
-0.6238391399383545,
-0.08801747113466263,
0.5295098423957825,
0.6664131879806519,
-0.18155747652053833,
0.1575627624988556... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Question: Did Osornio Martinez stay in Mexico after he married ... | 1
| 0 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.4376048445701599,
0.7019113302230835,
-0.8297576904296875,
-0.13129790127277374,
0.9285366535186768,
0.2755308747291565,
0.6551939249038696,
1.2622584104537964,
0.050797127187252045,
-0.0026638179551810026,
-0.6231023073196411,
1.044532060623169,
-0.7103574275970459,
-0.1813783347606659,... |
In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. Your i... | Yes.
| 0 | NIv2 | task055_multirc_write_incorrect_answer | fs_opt | [
0.15236014127731323,
0.3177793622016907,
-0.3157269358634949,
-0.04192506521940231,
0.7392888069152832,
-0.5064671635627747,
0.4809722304344177,
0.9055631160736084,
0.01365971751511097,
0.34360164403915405,
-0.6426682472229004,
0.46948882937431335,
-0.3455549478530884,
-0.09020179510116577... |
Instructions: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support... | Favor | 3 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.16633659601211548,
0.7289015054702759,
0.1360006332397461,
0.4083898663520813,
-0.5209059715270996,
-0.8775241374969482,
0.10817012190818787,
1.2027268409729004,
-0.01658879593014717,
0.6718791723251343,
-0.3872944116592407,
0.04193057864904404,
-0.0655287653207779,
-0.7036609053611755,... |
Detailed Instructions: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
See one example b... | Not Hope Speech | 4 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.1692589819431305,
-0.392686128616333,
0.5252569317817688,
0.4967614412307739,
-0.11197714507579803,
-1.0270469188690186,
-0.33984413743019104,
0.5886527299880981,
-0.39231181144714355,
0.3625309467315674,
-0.222317174077034,
0.1434825360774994,
-0.23213669657707214,
-0.48311054706573486... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
One 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 ... | presented a range of position papers, including a major tax-relief plan | 6 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.43027350306510925,
0.3945789337158203,
-0.3528609871864319,
-0.35038596391677856,
-0.4298056364059448,
0.5092188119888306,
1.1043651103973389,
1.7436846494674683,
0.48987048864364624,
0.4237580895423889,
-0.43525588512420654,
-0.3401449918746948,
-0.2973174452781677,
-0.33679884672164917... |
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 answer so th... | Heart. | 3 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.921457052230835,
1.0488872528076172,
-0.45008355379104614,
-0.08869771659374237,
0.021816911175847054,
-0.934234619140625,
-0.18323497474193573,
0.6173629760742188,
-0.0008864342235028744,
-0.05524268373847008,
-0.57909095287323,
0.35233452916145325,
-0.5878896713256836,
0.17551949620246... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful | 0 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.4141542911529541,
0.23089972138404846,
0.7632121443748474,
0.5198308825492859,
-0.08090701699256897,
-1.0113933086395264,
0.4530598521232605,
1.2809674739837646,
0.18585684895515442,
0.9838293790817261,
0.03641652315855026,
-0.060177840292453766,
0.17691919207572937,
-0.9589827060699463... |
Detailed Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia pa... | Fact1: Brian Cranston has won 6 Emmy Awards. Fact2: Saoirse Ronan has won 0 Emmy awards. Fact3: 6 is divisible by the following numbers: 1,2,3, and 6. | 4 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.16374674439430237,
-0.5762252807617188,
-0.3118906021118164,
0.2683159112930298,
-0.022800052538514137,
-0.6682084798812866,
0.6515121459960938,
1.049875020980835,
-0.506226122379303,
0.39702147245407104,
-0.36258307099342346,
-0.10256543755531311,
-0.5295637845993042,
-0.505010128021240... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: このような概念実証実験から会社を設立してより幅広い分野にこれを応用すべきだと考え Ikariaという会社を人々の助けを借りて設立しました
A: | Entonces estos experimentos que validaron el concepto me guiaron a tomar la decisión de fundar una empresa. y llevar esto a un campo más amplio. Entonces fundé una empresa llamada Ikaria, con la ayuda de otros. | 4 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.4313291311264038,
0.1920439600944519,
0.008754356764256954,
-0.23333998024463654,
-0.6573336124420166,
-0.698143720626831,
0.5574250221252441,
0.7891886234283447,
0.7410750985145569,
-0.452459454536438,
-0.21399042010307312,
0.1682758629322052,
-0.3156735301017761,
0.04427799955010414,
... |
Definition: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F an... | C | 2 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.03910796344280243,
0.08267688751220703,
-0.1024884581565857,
-0.07056599855422974,
-0.040317352861166,
0.5674612522125244,
0.507319986820221,
0.07550108432769775,
0.45130211114883423,
-0.5874358415603638,
-0.5223026275634766,
-0.27042436599731445,
-0.0753253623843193,
0.2963222861289978,... |
Teacher:A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: The Prime Minister said, "Greetings on National Voters Day.
Student: | প্রধানমন্ত্রী বলেছেন : “জাতীয় ভোটদাতা দিবসের শুভেচ্ছা। | 6 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.009919246658682823,
-0.0958133190870285,
0.38752681016921997,
-0.24583515524864197,
-0.0287308432161808,
-0.9389032125473022,
0.607715368270874,
-0.5252381563186646,
-0.16280102729797363,
-0.24205684661865234,
0.05221802741289139,
-0.5975863337516785,
0.06398377567529678,
-0.496946036815... |
Instructions: In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A ... | [84, 86] | 3 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-1.0763646364212036,
0.48699089884757996,
-0.3765411972999573,
-0.36131832003593445,
-0.007335360161960125,
-0.22011388838291168,
0.936819314956665,
0.04406218230724335,
-0.25471556186676025,
-0.10075576603412628,
-0.8319438695907593,
0.2594108581542969,
-0.37148234248161316,
-0.4250212013... |
Teacher:Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive categ... | Offensive | 6 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.4467795491218567,
0.3570011258125305,
0.22472068667411804,
0.29549890756607056,
0.29432952404022217,
-1.0052310228347778,
-0.0963161289691925,
0.6368515491485596,
0.6650485992431641,
0.3295000493526459,
0.060231465846300125,
-0.48047876358032227,
-0.6862465739250183,
-1.163539171218872,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: أما مذنب بعرض خمسة أميال فقد يسبب إنقراضا جماعيا —
A: un asteroide grande cinque miglia causa considerevoli estinzioni,
****
Q: طبعا ، هذه آلة بسيطة جدا ولكننا نعمل على نسخة متناهية في الصغر منهم ونأمل أن المكعبات ستصبح ... | E quindi il semplice atto di compromesso, e un compromesso sostenuto, reale, ci darebbe un po 'più di tempo, permetterebbe a entrambe le fazioni più tempo per distribuire il dolore e raggiungere altri compromessi lungo il percorso.
****
| 4 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
0.1809242218732834,
0.05444099009037018,
-0.19880671799182892,
-0.20774805545806885,
0.02720711939036846,
-0.04364217817783356,
0.3114905059337616,
0.7368630170822144,
-0.2565267086029053,
-0.004271953832358122,
-0.9930529594421387,
0.0828734040260315,
-0.1618998497724533,
0.49354475736618... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: Hi Joe . You've met my new assistant , right ?
Pers... | 0 | 7 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.07416127622127533,
0.4575113356113434,
0.20467232167720795,
-0.08671365678310394,
0.29217591881752014,
0.008922710083425045,
0.1752745658159256,
-0.015532216057181358,
0.2803928256034851,
0.1216365322470665,
-0.30612510442733765,
-1.0020936727523804,
0.07179360836744308,
-0.098281227052... |
Given a text, write a compressed version of it in a single sentence.
Participants are invited to submit a similar pair--a domain name that is already taken along with an amusing and available alternative. | Participants are invited to submit a pair-a domain that is taken along with an available alternative. | 0 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
-1.2347495555877686,
0.7725188136100769,
0.03783648461103439,
-0.5268329381942749,
0.03007359430193901,
0.1321468949317932,
1.1252822875976562,
-0.3368818759918213,
0.2286548763513565,
-0.3091214597225189,
-0.9604672193527222,
0.18250247836112976,
-0.7422686219215393,
-0.31159478425979614,... |
Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: The committee and the rapporteur have incorporated nine of the eleven amendments that we presented,... | Yes | 3 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
0.1766180694103241,
0.5249627828598022,
0.4553788900375366,
0.03301820158958435,
-0.18778827786445618,
-1.2604458332061768,
0.9792558550834656,
0.6255818605422974,
0.42749688029289246,
-0.34794771671295166,
-0.06812642514705658,
0.11490369588136673,
-1.1274709701538086,
0.14007781445980072... |
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 given Yoruba sentence into the English language. Please bear in mind the followin... | Mike again? | 0 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.5448459386825562,
0.10791821777820587,
-0.1259896457195282,
0.43603774905204773,
0.17798292636871338,
-0.5811964869499207,
0.5143638253211975,
0.5046381950378418,
0.15293917059898376,
-0.3083207607269287,
0.13115757703781128,
0.25442081689834595,
-0.8142691254615784,
0.10725381970405579... |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: ce film d'interprétation mérite d'être vu. Il exprime tout ce qui peut être problématique dans notre société actuelle.
A: | 1 | 9 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.551085352897644,
0.796716570854187,
0.24886354804039001,
0.1528717577457428,
0.2355983555316925,
-0.6481671929359436,
0.346042275428772,
0.4772159457206726,
0.5169109106063843,
0.23262295126914978,
-0.7660703659057617,
-0.33013880252838135,
0.06748165935277939,
-0.17171700298786163,
0... |
Detailed Instructions: Translation from English to Telugu.
Q: You can have all that you want.
A: | మీరు మీకు కావలసిన అన్ని కలిగి. | 9 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.8820218443870544,
0.791033148765564,
-0.16179925203323364,
-0.09317624568939209,
0.08913470804691315,
-1.690294861793518,
-0.06546276807785034,
0.013873692601919174,
0.1953028291463852,
-0.08727476745843887,
0.579946756362915,
0.43762463331222534,
-0.6184228658676147,
0.6308014988899231,... |
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 a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only o... | C | 0 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.38858121633529663,
0.2278771996498108,
-0.398365318775177,
0.4752959609031677,
0.26060935854911804,
-0.42308616638183594,
0.7758746147155762,
0.4901600182056427,
-0.17943406105041504,
0.5336233377456665,
-0.402107834815979,
0.28484129905700684,
-0.16192889213562012,
0.03431638330221176,
... |
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 the position is the nu... | 4, On the fourth game she got a bingo.
| 6 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.06183803826570511,
0.6497054100036621,
0.06451497972011566,
-0.4208669662475586,
0.28844016790390015,
-0.37686046957969666,
0.11471038311719894,
0.390572726726532,
-0.27466022968292236,
0.06741036474704742,
-0.0783044695854187,
-0.33510932326316833,
-0.34833824634552,
-0.132958188652992... |
Q: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Les os de Zrinski et de Frankopan ont été retrouvés en Autriche en 1907 et apportés à Zagreb en 1919, où ils ont été inhumés de nouveau dans la cathédral... | The bones of Zrinski and Frankopan were found in 1907 in Austria and brought to Zagreb in 1919 , where they were rebuilt in the Zagreb Cathedral . | 7 | NIv2 | task789_pawsx_french_english_translation | zs_opt | [
0.28176891803741455,
1.204624056816101,
-0.8006377220153809,
0.6589616537094116,
-0.23765939474105835,
-0.23225194215774536,
1.1579971313476562,
-0.3104071617126465,
-0.045851267874240875,
-0.410869836807251,
0.5207142233848572,
0.6265587210655212,
-1.0231977701187134,
0.8623253107070923,
... |
instruction:
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
question:
entity: envelope
before: in inventory
after: in store
attr: location
answer:
location of envelope was in... | volume of can was closed before and open afterwards
| 9 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.04058203101158142,
0.17829909920692444,
0.01931367814540863,
0.0512654110789299,
-0.5290545225143433,
-1.3330861330032349,
-0.9452885389328003,
0.4394376873970032,
0.42026546597480774,
-0.26013046503067017,
0.2487504780292511,
0.11921583116054535,
-0.855659544467926,
-0.16016562283039093... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | Solution: probability | 5 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.015952451154589653,
0.252999484539032,
-0.15470826625823975,
-0.0981827825307846,
0.014904750511050224,
0.1704462766647339,
0.47999319434165955,
0.9806488752365112,
0.2749965786933899,
-0.4307040572166443,
-0.6931465864181519,
-0.10862982273101807,
-0.3536783456802368,
0.0558262765407562... |
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 Arabic.
Ten as súas propias próteses externas e estes dispositivos axúdannos a todos a comunicarnos e interactuar uns con outros.
| فقد غدا لديه اجهزته الخارجية ايضاً وهذه الاجهزة الخارجية تساعدنا على التواصل والتواصل مع بعضنا البعض | 5 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-1.17600417137146,
1.19611656665802,
0.22120656073093414,
-0.5565516352653503,
-0.5205756425857544,
0.08225692808628082,
0.7790213823318481,
-0.09681962430477142,
0.33355849981307983,
0.311383455991745,
-1.0318031311035156,
0.9595211744308472,
-0.7818847298622131,
0.5636696815490723,
0.8... |
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