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 |
|---|---|---|---|---|---|---|
Definition: In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be sev... | heparin | 2 | NIv2 | task1447_drug_extraction_ade | zs_opt | [
0.29124075174331665,
-0.0618731752038002,
-0.09082486480474472,
-0.5245864391326904,
-0.056412242352962494,
-1.1386854648590088,
0.6834051609039307,
0.789129376411438,
0.8792452812194824,
-0.5494036674499512,
-1.2581515312194824,
0.059295810759067535,
-0.4174906611442566,
-0.30805239081382... |
Detailed Instructions: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
See one example below:
Problem: Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Solution: English
Explanation: This is an English sentence.
Problem: Tex... | French | 4 | NIv2 | task896_miam_language_classification | fs_opt | [
0.18108028173446655,
0.6313610076904297,
0.6386544704437256,
-0.4563576579093933,
-0.054265011101961136,
-1.0171489715576172,
0.6602523326873779,
0.632034182548523,
0.13740359246730804,
-0.03925818204879761,
-0.033803343772888184,
0.4256051480770111,
-0.46283799409866333,
-0.15087945759296... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | a bunch of people are having a picnic with food and drinks. | 6 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.38207167387008667,
0.8089422583580017,
0.5842044353485107,
-0.48033204674720764,
0.005727696232497692,
-0.8477512001991272,
-0.04126889631152153,
0.577103316783905,
0.4256455600261688,
-0.3446401059627533,
-0.7705160975456238,
-0.26691097021102905,
-1.017386555671692,
-0.459764182567596... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Problem:एंडी, तुम पागल हो? !
Solution: | Andy, are you nuts? | 8 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.4344732165336609,
0.2673645615577698,
0.3363795578479767,
-0.07856446504592896,
-0.08517317473888397,
-0.983298659324646,
0.9709809422492981,
0.08375083655118942,
-0.5972769260406494,
0.3470623195171356,
-0.03633889928460121,
-0.20582756400108337,
-0.29974424839019775,
0.4553992450237274... |
Given the task definition and input, reply with output. Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
អ្នកបោះឆ្នោតម្នាក់ទៀត លោកវិជ្ជបណ្ឌិតនីមម៉ាលកាប៉េរេរ៉ា បានពិពណ៌នាពីចំនួនមនុស្សថា : "ន... | 他の投票者であるニマルカ・ペレラ医師は混み具合について「最初に私がここに来た時、行列が長すぎたので一旦うちに帰り2時間後に病院に出勤する途中に再度来たら行列はさらに長くなっていた」と話している。 | 5 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.3007897138595581,
0.3481188416481018,
0.10107813775539398,
-0.18955150246620178,
-0.22965256869792938,
-0.46552741527557373,
0.3677639663219452,
0.1658736765384674,
-0.35384899377822876,
0.10806845873594284,
-0.24577783048152924,
0.2526061236858368,
-0.4387930631637573,
0.39422398805618... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same ... | 91.8. | 0 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.5373986959457397,
0.6096952557563782,
-0.20313739776611328,
-0.19977515935897827,
0.36526232957839966,
-1.0555686950683594,
1.0523710250854492,
0.7862967252731323,
-0.1020548939704895,
0.2443874180316925,
-0.49557942152023315,
0.399590402841568,
-0.7271177768707275,
0.2805359363555908,
... |
Q: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the que... | The man took medicine after eating the spicy food, because the _ caused him to have heartburn. | 7 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7481958866119385,
0.1549980640411377,
0.18875376880168915,
-0.49203360080718994,
0.6820213794708252,
-1.030149221420288,
1.0196956396102905,
1.1414222717285156,
-0.5617738962173462,
-0.36126571893692017,
-0.4726007282733917,
0.3085474669933319,
-0.7681878805160522,
0.1268622726202011,
... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 2002年以降、同国は10億ドルの援助を受けている。しかし、乳児死亡率はほぼ世界で最も高く、アンゴラより低いが、アフガニスタンより高い。
A: | ตั้งแต่ปี 2002 เซียร์ราลีโอนได้รับเงินช่วยเหลือ 1พันล้านดอลลาร์ แต่อัตราการตายของเด็กทารกเกือบสูงที่สุดในโลกโดยเป็นรองแองโกลา แต่สูงกว่าอัฟกานิสถาน | 4 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.19120211899280548,
0.047786884009838104,
-0.10261252522468567,
-0.1112627238035202,
-0.5036238431930542,
-1.12249755859375,
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0.7001705169677734,
-0.34720379114151,
0.2575027346611023,
-0.8099614381790161,
0.9421490430831909,
... |
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
Q: Event:PersonX watches PersonY closely. Intent: 1) to fi... | smothered. | 4 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.36474162340164185,
0.34792599081993103,
0.23900702595710754,
-0.3243839144706726,
-0.7120522856712341,
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0.9943807721138,
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0.2668987512588501,
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0.4381617605686188,
-0.18413594365119934,
-0.5869107246398926,
0.21254143118858337,
... |
instruction:
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... | No
| 9 | NIv2 | task227_clariq_classification | fs_opt | [
-0.4029005169868469,
-0.22183991968631744,
-0.01775437593460083,
0.1644842028617859,
-0.20056653022766113,
-0.7685068845748901,
0.49963873624801636,
0.42379459738731384,
0.06737582385540009,
0.2939538061618805,
0.2718542814254761,
-0.4092676043510437,
-0.45710086822509766,
0.05453445762395... |
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.
[Q]: In 1926, Machinist's Mate First Class Jake Holman transfers to the Yangtze River Patrol gunboat USS San Pablo. T... | Answer: The best barrister in England at the time was Sir Robert Morton.
| 5 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.47854164242744446,
0.239935964345932,
-0.9412168860435486,
-0.09109292924404144,
0.7549647688865662,
-0.14333853125572205,
1.0418477058410645,
0.7481809258460999,
-0.2598995864391327,
0.7785946130752563,
0.26170313358306885,
0.1988419145345688,
-0.487967312335968,
0.2301095724105835,
-... |
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... | Annie's family was sad.
| 7 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.236164391040802,
0.6285350918769836,
0.13258850574493408,
-0.35737472772598267,
-0.3354472517967224,
-0.3951214551925659,
0.5391025543212891,
0.5953937768936157,
0.08580078184604645,
-0.16736869513988495,
-0.390103816986084,
0.3211294114589691,
-0.05834866315126419,
0.13601459562778473,... |
instruction:
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. S... | fallopian tubes.
| 9 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.2659872770309448,
0.7106224298477173,
-0.32863789796829224,
0.26930728554725647,
-0.21906137466430664,
-1.7284009456634521,
0.2908663749694824,
0.5221315622329712,
-0.31909245252609253,
-0.057022277265787125,
-1.014583706855774,
0.34897923469543457,
-0.6177083849906921,
0.266697496175766... |
Instructions: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: what distance will be covered by a bus moving at 90 kmph in 20 seconds ?
Options: a ) 500 , b ) 600 , c ) 289 , d ) 276 , e ) 207
Output: | a | 3 | NIv2 | task1422_mathqa_physics | zs_opt | [
-0.3037536144256592,
0.5201724171638489,
0.2456870973110199,
-0.5099822282791138,
-0.8990130424499512,
-0.2599625885486603,
0.10977205634117126,
0.19446279108524323,
0.15642990171909332,
0.19124735891819,
-0.7596746683120728,
0.5438804030418396,
0.47709858417510986,
-0.4359009265899658,
... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Então recomendo vivamente que aprendam línguas sozinhos, para além da que eu estou a falar. porque nunca houve melhor altura para fazê-lo.
A: | بنابراین من به شدت توصیه می کنم زبانی به غیر از آنچه من الان مشغول صحبت کردن آن هستم را به صورت خودخوان یاد بگیرید ، زیرا هیچ زمانی بهتر از آلان برای یادگیری نیست. | 7 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.07375205308198929,
1.2787266969680786,
-0.40462130308151245,
-0.48462367057800293,
-0.42586302757263184,
0.11375772953033447,
0.5584287643432617,
0.33729881048202515,
0.3249260485172272,
-0.3708961009979248,
-0.562374472618103,
0.12757191061973572,
-0.7624906301498413,
0.585352301597595... |
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. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Solution: Question: Who was the schizophrenic?, Answer: Ganghadar. | 5 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.3077687621116638,
0.18369117379188538,
0.02648591436445713,
-0.5828704833984375,
0.045575276017189026,
-0.03802991658449173,
0.7409935593605042,
0.5814820528030396,
0.26870232820510864,
-0.49160417914390564,
-0.514772891998291,
0.2438204288482666,
-0.19816896319389343,
0.0362313166260719... |
Detailed Instructions: 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.
Problem:Comment: Who gave the FEC authority to ... | Non-sexual-explicit | 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.3103973865509033,
-0.00023048926959745586,
0.16392245888710022,
-0.010023267939686775,
0.09935075789690018,
0.1535395085811615,
0.3858126997947693,
0.604826807975769,
0.29974162578582764,
0.22853079438209534,
-0.014473497867584229,
0.2610531151294708,
-0.3660120666027069,
-0.67187356948... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: like many a tifu, this one actually happened a couple days ago. sunday, to be precis... | TIFU by nodding my head
| 0 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.49153444170951843,
0.07927165180444717,
-0.2897874712944031,
-0.4934191107749939,
0.5580476522445679,
-0.3384384512901306,
0.5237091779708862,
0.6776982545852661,
-0.0674743503332138,
0.4503262937068939,
0.15327104926109314,
-0.3293440341949463,
-1.0967633724212646,
0.06438809633255005,
... |
Instructions: 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... | jump opposite right thrice after jump right thrice | 3 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.21728810667991638,
0.9530045390129089,
-0.5595673322677612,
0.10413362085819244,
0.00969243049621582,
0.3462427258491516,
0.21165111660957336,
0.7032026052474976,
-0.35008347034454346,
-0.3024435341358185,
-0.852275550365448,
-0.38950812816619873,
-0.6019818782806396,
-0.1634728014469146... |
TASK DEFINITION: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
PROBLEM: System Reference: darbar restaurant allows children.
Original Reference: child -s are allo... | 1
| 8 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.25521066784858704,
0.9180628061294556,
-0.968035101890564,
-0.25715407729148865,
-0.6756517887115479,
0.32917600870132446,
1.7953839302062988,
0.3940708041191101,
-0.3633616864681244,
-0.3839351236820221,
-0.15102946758270264,
0.13466517627239227,
-0.8774635195732117,
-0.051112733781337... |
Detailed Instructions: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang la... | マケインの選挙陣営はウィキペディアの盗用を否定しているが、スピーチの出典として用いたかどうかは言明しなかった。 | 4 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.4006967544555664,
0.6290363073348999,
-0.6609159708023071,
0.18370205163955688,
-0.16764134168624878,
-0.4986889064311981,
0.6545523405075073,
0.7006078958511353,
0.22334560751914978,
-0.18945690989494324,
-0.7045406103134155,
0.7692773342132568,
-0.4853983521461487,
0.9685360193252563,... |
Detailed Instructions: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answ... | Alphabets Win | 8 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
0.21898186206817627,
0.781858503818512,
-0.7947224378585815,
-0.15386970341205597,
-0.3297540545463562,
-0.6054264903068542,
0.8197593688964844,
-0.4975045919418335,
0.18775421380996704,
0.35279381275177,
-0.6902792453765869,
0.24464239180088043,
-0.12577436864376068,
0.12314139306545258,
... |
Part 1. Definition
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.
Not... | [126, 84, 76, 14, 90, 58, 81, 60, 144, 282, 72] | 7 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.37399107217788696,
0.2586590051651001,
-0.31865033507347107,
-0.13551688194274902,
0.5766463279724121,
-0.2933383584022522,
1.2517280578613281,
0.38805219531059265,
-0.028747543692588806,
-0.04231288656592369,
-0.5104131698608398,
0.08759249001741409,
-0.7023569941520691,
-0.23741115629... |
Teacher:Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well f... | Bad | 6 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.20935654640197754,
-0.30073970556259155,
-0.08317068219184875,
-0.6187378168106079,
-0.7067145109176636,
-0.09068384766578674,
0.3151276111602783,
-0.18226206302642822,
0.08037625253200531,
0.0625176876783371,
0.19278933107852936,
-0.08950941264629364,
-0.7370094656944275,
-0.1920538544... |
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... | AGE
| 5 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.23703844845294952,
0.5052728652954102,
-0.40164661407470703,
0.20291250944137573,
-0.0701240748167038,
-0.7802990078926086,
1.3373804092407227,
0.8697904944419861,
-0.33863961696624756,
0.3027782440185547,
-0.4429217576980591,
0.30970194935798645,
-0.15937012434005737,
-0.09287107735872... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
One example: Since their articles appeared, the price of gold... | Mais la majeure partie de l’opinion semblait adhérer à la décision prise. | 6 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.2797245979309082,
0.8567871451377869,
-0.20626042783260345,
0.174295574426651,
0.49208900332450867,
-0.48512840270996094,
-0.05487696826457977,
0.9729207158088684,
0.0693306028842926,
-0.18287280201911926,
-0.6498279571533203,
0.020060375332832336,
-0.46938014030456543,
-0.3171685934066... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: البته ، 2.1 میلیون.
Output: | Oczywiście, 2.1 miliona. | 3 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.833439826965332,
1.2321248054504395,
-0.30677199363708496,
0.2663601040840149,
-0.1366131752729416,
-0.12196695804595947,
0.43450814485549927,
-0.4784243404865265,
0.37434348464012146,
-0.1358841210603714,
-1.2892861366271973,
0.20740512013435364,
0.44863712787628174,
-0.261681616306304... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Binabanggit sa 1 Timoteo 4:14 at 2 Timoteo 1:6 ang isang kaloob na ibinigay kay Timoteo sa... | Both 1 Timothy 4:14 and 2 Timothy 1:6 refer to a gift that Timothy had received at the time of his ordination “by prophecy.” | 1 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.13991791009902954,
0.8463729619979858,
-0.3273559808731079,
0.014985170215368271,
0.16440662741661072,
-1.2196013927459717,
0.5171148777008057,
0.4250420928001404,
0.34815818071365356,
-0.050853412598371506,
0.19025862216949463,
-0.20535029470920563,
-0.5057010650634766,
-0.0047234352678... |
Given a sentence in the Japanese and Thai 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".
Japanese: その戦闘機は墜落時、別のF-16とともに飛行中だった。
Thai: เครื่องบินไอพ่นลำดังกล่าว ได้บินร่วมกับเครื่องF-16ลำอื่นอีกลำ... | Yes | 0 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-1.0980236530303955,
-0.6087069511413574,
0.3578568696975708,
-0.004239966161549091,
0.4746443033218384,
-1.311187744140625,
0.5755805969238281,
1.2158721685409546,
-0.2940079867839813,
0.13506990671157837,
-0.5358226299285889,
-0.0801779180765152,
-0.2295677214860916,
0.13514336943626404,... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
question:
موتورولا تصنع الأوسع استخداماً منها ، ويمكنكم أن تروا انها مستخدمة من قبل قوات حماية الرئيس ، أنها مستخدمة في ساحات القتال ، وهي معيار شائع جداً ، جداً في الولايات المتحدة وفي أماكن أخرى.
answer:
モトローラ... | その瞬間を楽しんでいて無心に砂遊びを続ける
| 9 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.008389176800847054,
-0.24270057678222656,
-0.1749933660030365,
-0.09113883227109909,
-0.4188844561576843,
-0.3413129448890686,
0.30624499917030334,
-0.23830477893352509,
0.13404354453086853,
-0.5303041934967041,
-0.6748048067092896,
0.3710189759731293,
-0.26914364099502563,
0.31791114807... |
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.
One example: ['238... | -1 | 6 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.021494850516319275,
0.4186582565307617,
-0.33916550874710083,
-0.7387624979019165,
0.21973225474357605,
-0.22393563389778137,
1.278665542602539,
-0.0038669330533593893,
-0.5006197690963745,
0.521058201789856,
-0.46288949251174927,
-0.3847302496433258,
-0.07884889841079712,
0.099303662776... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original... | Changed | 9 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.9388638734817505,
1.1496737003326416,
0.26753222942352295,
-0.4529366195201874,
-0.17727719247341156,
-0.31125617027282715,
0.26323315501213074,
0.7834390997886658,
0.09693498909473419,
-0.5257735252380371,
-0.48758381605148315,
-0.3109138309955597,
-0.42416030168533325,
0.3001060187816... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Ex Input:
Sentence1: The crates are full of hardback copies of " Harry Potter and the Order of the Phoenix . ", Sentence2: On June 4 , Amazon said it had received orders for ove... | No
| 1 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.0288481917232275,
-0.33486461639404297,
0.24172443151474,
0.2721584439277649,
0.16862064599990845,
-0.8085540533065796,
-0.2530548572540283,
0.7452987432479858,
-0.08975015580654144,
0.20704150199890137,
-0.6586182117462158,
-0.23596560955047607,
-0.5040590763092041,
-0.0454542860388755... |
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.
Input: Mary hissed the man wearing the hat the response
Output: | Mary hissed the response to the man wearing the hat | 3 | NIv2 | task132_dais_text_modification | zs_opt | [
0.4399033784866333,
1.266974687576294,
-0.06614966690540314,
-0.5615989565849304,
0.020383233204483986,
-0.9982418417930603,
0.02369309961795807,
0.18286192417144775,
0.30376124382019043,
-0.7341248989105225,
-0.8645690083503723,
-0.05786369368433952,
-0.035071372985839844,
-0.438615918159... |
TASK DEFINITION: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
PROBLEM: سیّد احمد حُکمآبادی (زادهٔ ۸ مهر ۱۲۶۹ در تبریز – درگذشت... | True
| 8 | NIv2 | task396_persianqa_classification | fs_opt | [
0.7376799583435059,
0.07546405494213104,
-0.5416504740715027,
-0.3482438921928406,
0.3413538336753845,
0.22421644628047943,
0.8945673704147339,
0.9151214361190796,
0.08298759907484055,
0.3413238525390625,
-0.07648894190788269,
0.18215793371200562,
-0.5824218988418579,
-0.2301533818244934,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Example: Question: A di... | medicine | 1 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.07290714979171753,
0.0034042452462017536,
-0.47243639826774597,
0.19456364214420319,
0.345633327960968,
0.18048174679279327,
0.10073237121105194,
0.757387638092041,
0.5120543837547302,
0.33088648319244385,
-0.1256272792816162,
0.25648820400238037,
0.34111738204956055,
0.1553291231393814,... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
One example is below.
Q: For four years we h... | (C) | 9 | NIv2 | task302_record_classification | fs_opt | [
0.14464342594146729,
0.5386369228363037,
-0.13923877477645874,
-0.1957874298095703,
0.22694630920886993,
0.13613051176071167,
0.466450572013855,
0.5908312797546387,
-0.11625750362873077,
0.6579877138137817,
0.4380642771720886,
0.9018682241439819,
-0.34162700176239014,
0.3060825765132904,
... |
Detailed Instructions: 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.
Problem:What... | observation deck | 8 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.6151223182678223,
0.7321716547012329,
-0.5292016863822937,
-0.4000661373138428,
-0.054753247648477554,
-0.39507460594177246,
0.8290233612060547,
0.16996297240257263,
0.22298108041286469,
-0.26371291279792786,
-0.6047152280807495,
0.1209014430642128,
-0.4261585474014282,
-0.1075041145086... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Wikinews ได้พูดคุยกับบรรณาธิการคนดังกล่าวเพื่อถามว่าเขาค้นพบความคล้ายคลึ... | ウィキニュースはそのエディターと、彼がどのようにしてその類似性を発見したか、またどう反応したかについて話すことができた。 | 1 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.7324312925338745,
0.030078785493969917,
0.07564903795719147,
0.01528213545680046,
0.02042955532670021,
-0.8758642673492432,
1.096285343170166,
0.4871177077293396,
0.30851390957832336,
0.34846100211143494,
-0.38299494981765747,
-0.016608672216534615,
-0.6660314202308655,
0.77917957305908... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Q: Herman Cain, who ... | Jeb Bush | 9 | NIv2 | task339_record_answer_generation | zs_opt | [
0.11130202561616898,
0.4811403751373291,
-0.048284146934747696,
0.43246179819107056,
0.1425611823797226,
-0.6878197193145752,
0.06728725135326385,
0.4394550025463104,
-0.3219023644924164,
0.6927504539489746,
-0.0648886114358902,
0.9117614030838013,
-0.4418504238128662,
0.2018996775150299,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
¿Por qué cambiarla?
| Spanish | 5 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.7921422719955444,
0.778488278388977,
0.9886229038238525,
-0.3771393299102783,
0.09930911660194397,
-0.4668393135070801,
-0.3940221965312958,
0.7407163381576538,
0.5837066173553467,
-0.5323339700698853,
-0.24769112467765808,
-0.06115569919347763,
-0.305851012468338,
-0.40378329157829285,... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Ex Input:
Tweet: RT @anonymized_account Premier @anonymized_account w @anonymized_account PSL i PO wyprzedawali polską ziemię. , Question: Is the tweet free of any cyberbullying (harmful) content?
Ex Outpu... | No
| 1 | NIv2 | task839_cdt_classification | fs_opt | [
-1.815991759300232,
0.6863377094268799,
0.2047778218984604,
0.7675454616546631,
-0.3678579330444336,
-1.0123775005340576,
0.7073444128036499,
0.01354336366057396,
0.015039904043078423,
0.2613990604877472,
-0.631411612033844,
0.30575573444366455,
-0.6632372140884399,
-0.05785103142261505,
... |
Detailed Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Problem:Sentence: 'a truck is parked on a dirt path by the mountains'. How many words end with the letter 'a' in the sentence.
Solution: | 2 | 8 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.22129453718662262,
0.5061262249946594,
0.12400240451097488,
-0.7796022891998291,
-0.9513102769851685,
-0.17838141322135925,
0.17867536842823029,
0.265670508146286,
0.8714547157287598,
-0.6370745897293091,
-0.3438373804092407,
0.08903791755437851,
-0.014686796814203262,
-0.147264420986175... |
instruction:
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pic... | a
| 9 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.8039326667785645,
-0.017596589401364326,
-0.3507137894630432,
0.21886104345321655,
0.3315548300743103,
-0.6089433431625366,
0.6378158330917358,
1.3584821224212646,
-0.18107452988624573,
0.0050314790569245815,
-0.15113168954849243,
-0.21105742454528809,
-0.12408150732517242,
0.21390065550... |
You will be given a definition of a task first, then some input of the task.
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more ... | B, D. | 1 | NIv2 | task058_multirc_question_answering | zs_opt | [
-0.03041946515440941,
0.7016856670379639,
-0.43083441257476807,
-0.2673558294773102,
0.05146125704050064,
-0.30748313665390015,
0.5912027955055237,
0.19461847841739655,
0.060901153832674026,
0.76996910572052,
-0.36375269293785095,
0.5609099268913269,
-0.6193333268165588,
-0.135131001472473... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: right ... | 5 | 1 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.6137259006500244,
0.07830314338207245,
0.6815108060836792,
-0.4106099009513855,
0.15360353887081146,
0.26670771837234497,
0.41695600748062134,
0.7647714614868164,
0.12347954511642456,
-0.030059948563575745,
-0.6117433309555054,
0.03594866767525673,
0.09734974801540375,
-0.48005893826484... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['e', '9851', '189', '1717', 'S', '7895', '3563', '7971', '8543', 'd', '2913', 'k', '1451', '5353', '2619', '873', '937'... | e, S, d, k, K, e, a, h, G | 0 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.08461049199104309,
0.7598876357078552,
-0.3511425852775574,
-0.4423080086708069,
-0.4145367741584778,
-0.6228381395339966,
0.9388666152954102,
-0.32912105321884155,
-0.3599468469619751,
0.685340940952301,
-0.6163944602012634,
-0.3023673892021179,
0.1604277789592743,
0.005899093113839626... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Ex Input:
There's a bus that leaves tonight.
Ex Output:
هنالك حافلةٌ ستغادر الليلة
Ex Input:
And there's more where that came from.
Ex Output:
-وهناك المزيد من حيث جاءت هذه .
Ex Input:
OK?
Ex Output:
| موافق؟
| 1 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.07956673204898834,
0.3961963355541229,
-0.09578673541545868,
-0.22470217943191528,
-0.4532071650028229,
-0.2170063853263855,
0.8287941217422485,
0.5824054479598999,
0.16884738206863403,
-0.1257965862751007,
-0.6160663366317749,
0.16588923335075378,
0.09316295385360718,
0.061783269047737... |
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 building ... | jump right and run right thrice
| 7 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.3902566432952881,
0.9577656984329224,
-0.4929576516151428,
0.12391741573810577,
0.04147367924451828,
0.17402252554893494,
0.05208170786499977,
0.9373756647109985,
-0.3823806047439575,
-0.31166088581085205,
-0.9092130064964294,
-0.3629099726676941,
-0.6730220317840576,
-0.1957578510046005... |
TASK DEFINITION: Given a scientific question, generate a correct answer to it.
PROBLEM: What do you call a predator species that affects other species' populations when its own population size changes?
SOLUTION: keystone species
PROBLEM: What vision defect occurs because the eye is too long?
SOLUTION: myopia
PROBLE... | ribosomes
| 8 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.9739230871200562,
0.46892863512039185,
-0.5317890644073486,
-0.5658982992172241,
-0.6041876673698425,
-0.2001754641532898,
-0.3635142743587494,
0.06614262610673904,
0.15751740336418152,
-0.40773648023605347,
-0.29706162214279175,
-0.0062607284635305405,
-0.842359185218811,
0.397909402847... |
Instructions: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Input:... | Answerable | 3 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.5421132445335388,
0.39273500442504883,
0.5562880039215088,
-0.04388269782066345,
-0.11631618440151215,
-0.39411455392837524,
0.7409554123878479,
0.12084070593118668,
0.029379472136497498,
-0.2446075975894928,
-0.1461561918258667,
0.304948091506958,
-0.6112157106399536,
0.013532244600355... |
Q: 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 en... | Tiffany soon after open up her very own etsy shop. | 7 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.27089518308639526,
0.5625930428504944,
0.282561719417572,
-0.07745685428380966,
0.2772466540336609,
0.13298287987709045,
0.588463544845581,
0.10172052681446075,
0.49717479944229126,
0.5589305758476257,
-0.19440333545207977,
0.7841086387634277,
-0.27213722467422485,
0.12283755838871002,
... |
Detailed Instructions: 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. Chains form when two facts connect together to produ... | acellular organisms need a living host. | 8 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.01869373768568039,
0.48180198669433594,
-0.5378156900405884,
0.5252617001533508,
-0.3332999348640442,
-0.9035318493843079,
-0.15440618991851807,
1.0501869916915894,
-0.330808162689209,
0.18803071975708008,
-0.9050479531288147,
0.6338269114494324,
-0.31173866987228394,
0.02944780699908733... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a conversation, and your task is to generate a summary from the information present in the given conversation. Generate a summary in such a way that the context should be present in the conversation. It should cover... | Lucas and Dorothy's mom and dad are planning to go on a 7 day cruise for their 40th wedding anniversary. Lucas and Dorothy are going to join them. | 1 | NIv2 | task1572_samsum_summary | fs_opt | [
-0.22408747673034668,
-0.09323848783969879,
-0.15648740530014038,
-0.16782480478286743,
0.0666733980178833,
0.05584767460823059,
0.006927412003278732,
0.7463958859443665,
-0.16097009181976318,
0.3214385211467743,
0.4063194692134857,
0.024522624909877777,
0.11292557418346405,
0.452815741300... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: چرا چون نزديک به درياست .
A: why because its next to the sea .
****
Q: آيا تو ، اوم ، آيا تو سوئد درس خوندي يا .
A: were you , um , were you brought up in sweden or .
****
Q: تا با هم صحبت کنيم .
A: | so we can talk .
****
| 4 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.7109033465385437,
0.7211752533912659,
-0.49352723360061646,
-1.1097108125686646,
-0.5008678436279297,
-0.07845831662416458,
0.24172350764274597,
0.07570677995681763,
0.882141649723053,
0.3353121876716614,
-0.12711699306964874,
0.49548083543777466,
-0.4919250011444092,
0.1163035035133361... |
Definition: 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 b... | Hateful | 2 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.4789019227027893,
-0.014634555205702782,
0.5977869033813477,
0.7873232364654541,
-0.0938403457403183,
-0.7088581323623657,
0.5788954496383667,
1.13051176071167,
0.23668548464775085,
0.759268581867218,
-0.08731833100318909,
0.4174812138080597,
-0.46409040689468384,
-0.8656648397445679,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
و ذراعی از این طرف و ذراعی از آن طرف که در طول پرده های خیمه زیاده باشد، برطرفین مسکن از هر دو جانب آویزان شود تا آن رابپوشد.
| And thou shalt make fifty loops on the edge of the one curtain that is outmost in the coupling, and fifty loops in the edge of the curtain which coupleth the second. | 5 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.399399071931839,
1.044338345527649,
0.04781968891620636,
0.27792537212371826,
-0.1876569390296936,
0.4969117045402527,
0.5076637864112854,
0.2561641335487366,
0.24566233158111572,
-0.2638464570045471,
-1.159788966178894,
0.7404918670654297,
-0.4715254008769989,
0.5090570449829102,
0.5... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or no... | 1 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.5600380897521973,
0.3314030170440674,
-0.13990601897239685,
-0.0578407421708107,
0.08171054720878601,
0.12865054607391357,
-0.07147754728794098,
1.0379854440689087,
-0.28030920028686523,
0.076512910425663,
0.18132340908050537,
-0.11327071487903595,
0.4419386386871338,
0.3186836838722229,... | |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Input: Luego arroja su casco por el aire.
Output: | ورمى خوذته في الهواء | 3 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.46040844917297363,
1.114454984664917,
-0.2435520589351654,
-0.5430361032485962,
0.187595397233963,
0.820250391960144,
0.3732297420501709,
0.6786839365959167,
-0.2991102337837219,
0.35069823265075684,
-0.632021427154541,
-0.07619082927703857,
-1.0287470817565918,
0.01669531688094139,
0.... |
Teacher: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text... | i got a tattoo that is a direct reference to a book on the wrong hand, which would have been avoided if i'd read an extra chapter the night before. | 2 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.20060104131698608,
0.3798709213733673,
-0.24987804889678955,
-0.5213679075241089,
0.681879997253418,
-0.27317023277282715,
0.9171088933944702,
0.8517720699310303,
0.027048781514167786,
0.019789323210716248,
-0.2950840890407562,
0.5450730919837952,
-0.27684643864631653,
-0.162986427545547... |
Given the task definition and input, reply with output. Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
चौबीस वर्षीय सुसान रॉबर्टसन 10 दिन से गायब है.
| Twenty-four-year-old Susan Robertson has been missing 10 days. | 5 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.056473083794116974,
0.7426314353942871,
0.23649626970291138,
-0.32086169719696045,
-0.18594665825366974,
-0.1891983598470688,
0.14923007786273956,
-0.14857611060142517,
0.16165617108345032,
0.0022606365382671356,
-0.2772313952445984,
0.9516881704330444,
-0.2173166573047638,
0.14941132068... |
Given a text, write a compressed version of it in a single sentence.
[Q]: ACTUARIAL COST METHODS - A recognized actuarial technique used for establishing the amount and the incidence of employer contributions or accounting charges for pension costs under a pension plan.
[A]: ACTUARIAL COST METHODS - A recognized actua... | Various types of interventions have been examined for EMS. (Figure 1). From brief interventions delivered by the physician to extensive counseling during the admission that includes referral to intensive treatment.
| 5 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
0.06822001188993454,
0.10245732963085175,
-0.18649281561374664,
-0.23702141642570496,
0.08658759295940399,
-0.17658346891403198,
1.0860891342163086,
0.6332441568374634,
0.6878983974456787,
0.2570497989654541,
-0.17387017607688904,
-0.28318893909454346,
0.10913485288619995,
0.59389448165893... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two
| 0 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.4413313865661621,
0.48351621627807617,
0.07318437099456787,
-0.05999443680047989,
0.6159524321556091,
-0.5074872970581055,
-0.1270257979631424,
0.5354077219963074,
-0.00537106953561306,
0.041689250618219376,
-0.3058196008205414,
-0.2556830644607544,
-0.1609727144241333,
-0.2423184514045... |
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A ... | SELECT Event_ID FROM Events WHERE Event_Details ! = "Kenyatta Kuhn" | 6 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.6380304098129272,
0.45881950855255127,
-1.059601068496704,
0.7453696727752686,
-0.3214400112628937,
-0.21823750436306,
0.7240781784057617,
0.8485070466995239,
-0.5174867510795593,
0.2904025912284851,
0.4592518210411072,
0.26615363359451294,
-0.21964868903160095,
0.4088684320449829,
0.1... |
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... | red_box
| 5 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.6967010498046875,
-0.47552812099456787,
-0.36958783864974976,
-0.2824522852897644,
-0.11005673557519913,
0.09754188358783722,
-0.18255427479743958,
0.7547464370727539,
-0.0019213607301935554,
-0.2369520515203476,
-0.31516700983047485,
0.6871235370635986,
0.08640056848526001,
0.0499919354... |
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 input list. Fo... | [['4', '0', '3'], ['4', '0', 'g'], ['4', '3', 'g'], ['0', '3', 'g']]
****
| 4 | NIv2 | task208_combinations_of_list | fs_opt | [
-0.30141884088516235,
0.9185415506362915,
-0.6984847187995911,
0.25319936871528625,
0.4113880395889282,
-0.6276934742927551,
0.5075833201408386,
1.1510217189788818,
-0.0542028546333313,
0.055797334760427475,
-0.5904299020767212,
-0.011631404981017113,
-0.28143230080604553,
-0.0161076299846... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Common consular instructions: biometric identifiers and visa applications ( | Общи консулски инструкции относно визите за дипломатически и консулски представителства във връзка с въвеждането на биометрични данни, включително разпоредби за организиране на приемането и обработването на заявления за визи ( | 0 | NIv2 | task272_europarl_translation | zs_opt | [
-0.11688433587551117,
0.7122923135757446,
-0.383862167596817,
-0.3065009117126465,
0.025014333426952362,
-0.16188663244247437,
0.7884872555732727,
-0.39562809467315674,
0.8677036762237549,
-0.22218234837055206,
0.15978950262069702,
0.5230134725570679,
0.012540066614747047,
0.58728849887847... |
Detailed Instructions: 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... | E | 9 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.4941874146461487,
-0.09033063054084778,
0.20644411444664001,
0.01618235372006893,
-0.6938945055007935,
-0.17367978394031525,
0.5609617233276367,
0.514041006565094,
0.6487190127372742,
-0.4134063720703125,
-0.3236493468284607,
0.03140281140804291,
-0.5292177200317383,
0.29596489667892456... |
Q: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Bailey returned to his country. He had enjoyed his stay in the U.S.
Answer: adventurous
A: | How would you describe Bailey? | 7 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.3817428946495056,
1.0297695398330688,
-0.09908387064933777,
-0.3942939341068268,
0.13970042765140533,
-0.3263208866119385,
0.35410523414611816,
0.23745490610599518,
0.2428428679704666,
0.3408607244491577,
-0.5159757137298584,
0.866618275642395,
-1.3199641704559326,
-0.09982325881719589,
... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Jeffrey asked Leslie for help learning to play the guitar, because _ is an expert. (A) ... | B | 6 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.14630603790283203,
0.6137453317642212,
-0.6277490258216858,
-0.8817505836486816,
0.3488876521587372,
-0.8149027228355408,
1.0999090671539307,
0.19693294167518616,
1.06071138381958,
-0.06624198704957962,
0.03673816844820976,
0.38676226139068604,
0.0655834823846817,
-0.4536685645580292,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
One example is below.
Q: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
A: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Rationale: The Farsi sentence is correctly tra... | 本当の意味での相互依存関係が存在し鳥の一羽一羽がどうやってか集団の利益が自分の利益だと理解しています鳥の一羽一羽がどうやってか集団の利益が自分の利益だと理解しています | 9 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.23953160643577576,
1.260074496269226,
-0.5030697584152222,
0.0837559700012207,
-0.6313118934631348,
-0.09407216310501099,
1.2482237815856934,
0.35035911202430725,
-0.01972401887178421,
-0.33015158772468567,
-1.0278332233428955,
0.31573620438575745,
-0.7554237842559814,
0.5274556875228882... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Example input: Another approach to brain function is to examine the consequences of... | True | 3 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
-0.10278141498565674,
0.23464879393577576,
-0.13337442278862,
-0.14124393463134766,
-0.04383927956223488,
-0.5376935005187988,
0.9027299284934998,
0.4925858974456787,
0.4253309369087219,
0.341374933719635,
-0.33838802576065063,
0.09968383610248566,
-1.072923183441162,
0.7227050065994263,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: E logo convértese en algo máis.
Student: | ואז זה נהיה משהו גדול יותר. | 6 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.40889954566955566,
0.5944685935974121,
0.12534809112548828,
-0.46930384635925293,
-0.2207937091588974,
-0.5401641130447388,
0.281843900680542,
0.9079271554946899,
0.2577216923236847,
-0.31954991817474365,
-0.0494057796895504,
0.04684745520353317,
-0.8106865882873535,
-0.3306334614753723... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: ... | 0 | 5 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.06687885522842407,
0.3072383999824524,
-0.06784432381391525,
-0.1180429458618164,
-0.21960961818695068,
0.0824977308511734,
0.9327201247215271,
0.09803804755210876,
0.4931005835533142,
-0.29132628440856934,
-0.4414408802986145,
-0.6710894107818604,
-0.290000855922699,
-0.188937246799469... |
Definition: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: English: "Until the highest authorities see suicide as a problem, our j... | No | 2 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.18911820650100708,
-0.1462814211845398,
0.5418813228607178,
0.15386827290058136,
0.429335355758667,
-0.40858519077301025,
0.3718818128108978,
-0.0629349946975708,
0.07145975530147552,
0.052686043083667755,
-0.3530135154724121,
0.5870413780212402,
0.10269179195165634,
0.32344868779182434... |
You are given a statement written in Gujarati. 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 .
Input: Consider Input: Statement: દુખાલી (તા. દેવગઢબારિયા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્... | Output: ભારત
| 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.7499711513519287,
0.5165667533874512,
0.0647856742143631,
-0.013204200193285942,
-0.40823614597320557,
-0.49525293707847595,
0.6386115550994873,
0.9560947418212891,
-0.6185835599899292,
0.005342563148587942,
-0.6324605941772461,
0.5942662954330444,
0.03393092751502991,
-0.462324202060699... |
Definition: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily unde... | Baytown's Cahokia Phases were Late Woodland from 400 to 900 CE while the Ohio River confluence phases were in Cane Hills from 600 to 900 CE. | 2 | NIv2 | task1409_dart_text_generation | zs_opt | [
0.3252999782562256,
-0.21738743782043457,
-0.35136890411376953,
0.04098449647426605,
0.40412330627441406,
-0.6118834018707275,
-0.00850091502070427,
1.00714910030365,
-0.6375102996826172,
0.4625682532787323,
-0.6601028442382812,
-0.20557206869125366,
0.4958418905735016,
-0.4347772002220154... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Example: স্তন্যপান সম্পর্কে অভিভাবকদের সচেতন ও উৎসাহদানে গুরুত্ব বিশ্ব স্তন্যপান সপ্তাহ পয়লা থেকে ৭ই আগস্ট
Example solution: 7 ऑगस्टपासून जागतिक सक्शन आ... | Solution: भारत आणि भूतानदरम्यान उत्तम द्विपक्षीय संबंध असून विकास भागीदारी, परस्पर हिताचे जलविद्युत सहकार्य आणि मजबूत व्यापार आणि आर्थिक संबंध अधोरेखित करतात. | 5 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.3108390271663666,
0.14348609745502472,
-0.5422176122665405,
0.3604287803173065,
-0.8095234632492065,
-1.105710506439209,
0.4374805986881256,
0.4326916038990021,
0.1533421277999878,
-0.2222479283809662,
-0.6686561107635498,
0.12186148017644882,
-0.48946109414100647,
0.11155083775520325,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you need to provide the correct option for a given problem from the provided options.
Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian ... | b | 0 | NIv2 | task1421_mathqa_other | fs_opt | [
0.482336163520813,
0.05223671346902847,
-0.33330994844436646,
0.0850461944937706,
0.020196914672851562,
-0.8405770063400269,
0.657649576663971,
1.0686290264129639,
-0.15614499151706696,
-0.3422754108905792,
0.03395485877990723,
0.500718355178833,
-0.4023774564266205,
0.2881920635700226,
... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Porque este es el tipo de valor inalcanzable en el marco institucional clásico. Pero es parte de sistemas cooperativos de código-abierto, de archivos compartidos, de Wikipedia. He usado muchos ejemplos de ... | Ponieważ taki poziom wartości jest nieosiągalny w klasycznym modelu instytucji, a jest integralną częścią kooperatywnych systemów programów open-source, dzielenia plików, Wikipedii. Wykorzystałem już kilka przykładów z Flickera, ale historie o tym słychać zewsząd. | 2 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-1.106271505355835,
0.44793468713760376,
0.02455294504761696,
-0.013276029378175735,
-0.24370579421520233,
-0.32179078459739685,
0.8013190031051636,
0.004802620969712734,
0.34267348051071167,
-0.17096951603889465,
0.24479037523269653,
0.43297457695007324,
-0.25191909074783325,
-0.085307911... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: @TheMikeKelly I'm alive Mike, which is always a good thing - how about yourself?
[EX A]: positive
[EX Q]: @mileycyrus I Hope Your Having A AWESOME ... | positive
| 6 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.5085097551345825,
-0.016538623720407486,
1.0811576843261719,
0.48665618896484375,
0.461335688829422,
-1.1193023920059204,
-0.3173845112323761,
0.4950896203517914,
0.6583802103996277,
0.9621680974960327,
-0.8330555558204651,
-0.8876359462738037,
0.05342778563499451,
-0.6294382810592651,
... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | Fiona preferred to cook the rice in a pot instead of a machine, because the _ was easier to clean.
| 3 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.5957217216491699,
0.3205043077468872,
-0.08346408605575562,
-0.14857077598571777,
0.6489140391349792,
-0.6451100707054138,
0.7791791558265686,
1.1119893789291382,
-0.7847899198532104,
-0.34720057249069214,
-0.4568423628807068,
0.16300293803215027,
-0.23412886261940002,
-0.017881106585264... |
Given the task definition and input, reply with output. Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already ... | yes | 5 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.8983076810836792,
0.2145155519247055,
0.6493781805038452,
0.4027165472507477,
0.13920395076274872,
-0.33747345209121704,
-0.5592970848083496,
1.4395166635513306,
-0.5914607048034668,
-0.2691039443016052,
-0.04448632150888443,
-0.07651875913143158,
-0.44465821981430054,
-0.31005841493606... |
This task is about translating a given Yoruba language sentence to English.
Input: Consider Input: Òkèlè gbò-ǹ-gbò-ó fẹ ọmọ lójú toto.
Output: A huge morsel forces the child's eyes wide open.
Input: Consider Input: A nílò ọ̀rọ̀-ìfiwọlé fún àwọn olùkọ́ àti alákòóso
Output: Password is required for coaches and admin... | Output: Summary logs
| 2 | NIv2 | task1686_menyo20k_translation | fs_opt | [
0.5220019817352295,
0.5177731513977051,
-0.08877922594547272,
-0.02773393876850605,
0.09495894610881805,
-0.05802164971828461,
-0.19088774919509888,
0.1849290132522583,
0.5376401543617249,
-0.9862751960754395,
0.18035906553268433,
-0.07373037934303284,
-0.5808308720588684,
0.19261500239372... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
In molti dei nostri corsi, il tempo medio di risposta ad una domanda sul forum delle domande è di 22 minuti. | そのため Courseraの Q & Aフォーラムにおける質問への回答時間の中央値はたったの22分です | 0 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.7828928232192993,
-0.08048580586910248,
-0.21824905276298523,
-0.4512506127357483,
-0.3822895884513855,
-0.6550230979919434,
0.010876619257032871,
0.051622457802295685,
-0.17761147022247314,
-0.6228476762771606,
0.04281753674149513,
-0.1865100860595703,
-0.18755567073822021,
0.809811949... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
[EX Q]: Context: Kendall did not have a ride to school. They walked to... | No
| 6 | NIv2 | task579_socialiqa_classification | fs_opt | [
-0.07322322577238083,
0.485927015542984,
0.8080787062644958,
-0.38784071803092957,
-0.1896354854106903,
-0.004285401664674282,
-0.0535726398229599,
0.9009202718734741,
-0.13052353262901306,
-0.006577134132385254,
0.5402988195419312,
0.13262395560741425,
-0.4448009729385376,
-0.701375603675... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no | 6 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
0.07486594468355179,
0.20017096400260925,
0.03571663051843643,
0.27321046590805054,
0.5755515694618225,
-0.4088359475135803,
0.7138233184814453,
1.0345715284347534,
-0.2712669372558594,
0.5585566759109497,
0.07097169756889343,
0.2143697291612625,
-0.3594558835029602,
-0.2253626435995102,
... |
Detailed Instructions: In this task, you are given two sets, and a question. You need to find whether an element is 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 ... | No | 8 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.1725664734840393,
-0.34506022930145264,
-0.46283966302871704,
0.1315356343984604,
-0.11009769141674042,
-0.5996679663658142,
0.6434463262557983,
0.7144615650177002,
-0.15155029296875,
-0.009673358872532845,
-0.45502769947052,
-0.2584543228149414,
0.3539528548717499,
-0.23608079552650452,... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 2 | 1 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.20063509047031403,
0.7021776437759399,
-0.17263385653495789,
0.02100377529859543,
0.5794522762298584,
-0.11510801315307617,
-0.3735824227333069,
1.1642155647277832,
-0.29658204317092896,
-0.060234300792217255,
-0.30168473720550537,
-0.22736915946006775,
0.26799649000167847,
-0.8364199399... |
TASK DEFINITION: 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: [2, 16, 82, -54, -82, 82, 36, 98, 71]
SOLUTION: [... | [67, 14, 2, -79]
| 8 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.48933345079421997,
-0.06564389914274216,
-0.6729273200035095,
-0.668377161026001,
0.16658848524093628,
0.6519567966461182,
0.8491185307502747,
0.04949622601270676,
-0.5208817720413208,
0.09044873714447021,
-0.7143968343734741,
0.14148229360580444,
0.09851936995983124,
-0.4933486580848694... |
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.
Let me give you an example: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders ... | false panic attack | 8 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.08659416437149048,
0.7235133647918701,
0.4178639352321625,
-0.36395522952079773,
0.011448437348008156,
-0.6580275297164917,
0.31842637062072754,
0.24181145429611206,
0.14693507552146912,
-0.20398098230361938,
-0.6430577635765076,
-0.5225904583930969,
-0.3397800326347351,
-0.6308097839355... |
You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Make sure that your story ... | John studies erosion of soil due to ocean wave. To facilitate his study he measured wave in three different
points, point A, point B, and point C. Point A is in deep water. Point B is in shallow water, and point C is
in even shallower water. He needs to publish his findings after analyzing the data.
| 0 | NIv2 | task059_ropes_story_generation | fs_opt | [
0.6468541622161865,
0.6419994831085205,
-0.6238023638725281,
-0.09088489413261414,
0.2876988649368286,
-0.47150498628616333,
0.30791139602661133,
0.8947696685791016,
-0.4561188220977783,
-0.12771070003509521,
0.0016104928217828274,
0.08316564559936523,
-0.788500964641571,
0.202702149748802... |
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 building ... | run twice and jump around left twice
| 6 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.21156015992164612,
0.7581397294998169,
-0.5335439443588257,
0.24300333857536316,
-0.12449576705694199,
0.3913763165473938,
-0.008212470449507236,
0.7440112829208374,
-0.2972770631313324,
-0.23396828770637512,
-0.8907069563865662,
-0.3222678005695343,
-0.5759013891220093,
-0.0971369743347... |
TASK DEFINITION: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in ... | True
| 8 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.014484561048448086,
0.2231607437133789,
-0.5872321724891663,
0.15987467765808105,
-0.1687520146369934,
0.3341192305088043,
0.9355103373527527,
0.5791518688201904,
0.1802847534418106,
0.5204182863235474,
-0.4036485552787781,
0.3419472575187683,
-0.016049668192863464,
0.47599634528160095,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Q: W końcu coś znalazłem.
A: | 効果がありませんでした。これを見つけるまでは。 | 9 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
0.23789389431476593,
0.13040891289710999,
-0.5321571230888367,
-0.03821691870689392,
0.09692898392677307,
-0.6195186376571655,
0.5417517423629761,
-0.3462628424167633,
0.2891227602958679,
-0.5714465975761414,
-0.031271353363990784,
0.17841827869415283,
-0.8382128477096558,
0.51879322528839... |
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 range, cuisine, etc. Given such a dialogue, output the price range the user if... | Moderate
| 0 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.6696761846542358,
-0.0013694444205611944,
-0.3006306290626526,
-0.19564078748226166,
0.40924426913261414,
-0.4864211082458496,
0.7609089612960815,
0.7247664928436279,
-0.19480104744434357,
0.29906508326530457,
0.563227653503418,
0.16801466047763824,
-0.4134819507598877,
0.102499052882194... |
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely... | SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass" | 0 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.7355096936225891,
0.37650907039642334,
-0.9822689890861511,
0.8126978874206543,
-0.3433981239795685,
-0.3717290759086609,
0.7846643924713135,
0.9997157454490662,
-0.571692943572998,
0.5292048454284668,
-0.07930554449558258,
-0.011542712338268757,
-0.017824525013566017,
0.4971804618835449... |
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the s... | ab | 2 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.1521119475364685,
-0.022958172485232353,
0.18222397565841675,
0.5561788082122803,
-0.004203006625175476,
0.2319462150335312,
0.31722110509872437,
0.5284236073493958,
0.055090323090553284,
0.27132055163383484,
-0.5421123504638672,
-0.19852754473686218,
0.09607277810573578,
-0.16439230740... |
Teacher:In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
Teacher: Now, understand the problem? Solve this instance: The latter also sent Sergei Shoigu, the Russian minister of emergency situations, to the site of the crash.
Student: | Ang huli ay gayunding pinadala si Sergei Shoigu, ang Russian ministro ng sitwasyong emerhensya, sa pinangyarihan ng pagbagsak. | 6 | NIv2 | task559_alt_translation_en_fi | zs_opt | [
-0.574514627456665,
-0.4529958963394165,
0.5918106436729431,
-1.212953805923462,
0.4323810338973999,
0.16708135604858398,
0.1280747503042221,
0.8264375925064087,
0.31728288531303406,
-0.45587730407714844,
-0.5967127084732056,
0.04952997714281082,
-0.15235838294029236,
0.19341284036636353,
... |
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Input: Consider Input: In mathematics, the Weil conjectures were some highly influential proposals by Andre Weil (1949) on the generating functions (known as local zeta-functions) derived fro... | Output: What material was used for Wars of America?
| 2 | NIv2 | task470_mrqa_question_generation | fs_opt | [
-0.1831287145614624,
0.11541938781738281,
-0.16633586585521698,
0.592805802822113,
0.17658552527427673,
-0.10953522473573685,
0.3362422585487366,
1.1506454944610596,
0.043341297656297684,
-0.02499757707118988,
-0.04136195033788681,
-0.4091748297214508,
-0.1115230917930603,
-0.0203214902430... |
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