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 |
|---|---|---|---|---|---|---|
Q: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill ... | customer: No problem, thank you for the information. | 7 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.2691287398338318,
0.25597357749938965,
-0.5186619162559509,
-0.8708334565162659,
0.16655132174491882,
-0.21996107697486877,
1.098893642425537,
-0.20139080286026,
-0.4254142642021179,
0.0003858203999698162,
0.2042762190103531,
-0.4778484106063843,
-0.7912366390228271,
0.31074613332748413... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Jak ja, jako narrator, ale także jako pisarz, mam na to wpływ? | How do I, as the narrator, as the writer, also influence that? | 0 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.861611008644104,
0.3226272463798523,
0.4711650013923645,
-0.6362099647521973,
0.10158076882362366,
-1.3589696884155273,
0.6550120115280151,
-0.5751549005508423,
0.22803938388824463,
-0.38088133931159973,
-0.021366707980632782,
0.4155751168727875,
-1.0281426906585693,
0.08190444856882095... |
Detailed Instructions: In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Q: Question: Fred started a fire on the beach. The... | Warm air is less dense than cool air, so it rises higher in the troposphere. | 9 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.26924851536750793,
0.9452493786811829,
-0.6493271589279175,
-1.5749813318252563,
-0.5157009363174438,
-0.5787830948829651,
1.514115810394287,
0.5979623794555664,
-0.029267938807606697,
-0.1360141932964325,
-0.6541951298713684,
-0.13041947782039642,
-1.1680400371551514,
0.383950293064117... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
One example is below.
Q: E eu continuo a pensar que o transporte é o centro deste universo.
A: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Rationale: The Portugese sentence is correctly translated into Farsi, b... | من افرادی از ایران را نمیشناسیم | 9 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
0.07567045092582703,
0.7547223567962646,
0.6632797718048096,
0.3256162106990814,
-0.7960273027420044,
-0.2558262348175049,
0.6167187690734863,
0.03220701590180397,
0.08713476359844208,
-0.025223199278116226,
-1.3107359409332275,
0.21845576167106628,
-0.5564481616020203,
0.7170129418373108,... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subway a... | Solution: Yes | 5 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.6318793296813965,
0.6624490022659302,
0.1959562599658966,
-0.012040609493851662,
-0.3593475818634033,
0.7254996299743652,
0.838250994682312,
0.6413748264312744,
0.5657829642295837,
0.31169843673706055,
-0.36711424589157104,
-0.01838839426636696,
-0.4049076735973358,
-0.3551390767097473,... |
Part 1. Definition
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップ... | The group says it notified the International Civil Aviation Organisation (ICAO), and that they in turn said the Australian Transport Safety Bureau (ATSB) - who assisted in the crash investigation - was in control of the situation. | 7 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.3587356507778168,
0.4110932946205139,
-0.0545884445309639,
0.13365605473518372,
0.2892169654369354,
-0.146924689412117,
0.0001254216767847538,
0.3234385848045349,
-0.08800075948238373,
-0.4058682322502136,
-0.8155696988105774,
0.14249800145626068,
-0.18239280581474304,
0.1386819779872894... |
Q: 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.
The story revolves around Kaushik (Prosenjit Chatterjee) and Kaberi (Konkona Sen Sharma).A happy couple until a car... | Answer: Brinda | 7 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.6192448735237122,
0.6591876149177551,
-0.2461012899875641,
-0.19477087259292603,
-0.2576524615287781,
0.9027410745620728,
0.916674017906189,
0.4291083812713623,
0.06466319411993027,
-0.022148530930280685,
-0.19274568557739258,
0.6222292184829712,
-0.701889157295227,
0.3327949047088623,
... |
Detailed Instructions: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Problem:Question1: How do I reply when recruiter ask about salary expectations?, Question2: What is your salary expectation and let me a briefly about your ski... | No | 8 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.6051114201545715,
0.2952704131603241,
-0.12999635934829712,
0.37862396240234375,
-0.054525766521692276,
-0.5762298107147217,
0.19224050641059875,
0.34839874505996704,
0.2793441414833069,
0.028387919068336487,
-0.037293750792741776,
-0.8161855936050415,
-0.5205175876617432,
-0.3819353580... |
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.
Input: Consider Input: Context: Remy improved drastically to the point... | Output: Yes
| 2 | NIv2 | task579_socialiqa_classification | fs_opt | [
-0.30779698491096497,
0.3016112446784973,
0.3427271842956543,
-0.1629495769739151,
-0.4109775424003601,
0.06600846350193024,
0.32177162170410156,
1.034902811050415,
0.32383137941360474,
0.3298914432525635,
0.11108942329883575,
-0.14826461672782898,
-0.26624739170074463,
0.06436717510223389... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
See one example below:
Problem: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Solution: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い... | アルジャジーラによって国民に情報が届き国民は自分達の宗教の名の下に何が行われていたのか知ったのですオザマ・ビン・ラディンとアルカイダの偽善行為を暴き国民に情報を与え自ら判断を下す機会を与えたのです | 4 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.7440720796585083,
0.07388027012348175,
-0.5350072383880615,
-0.3447854518890381,
-0.5437690019607544,
-0.13064426183700562,
0.4576413035392761,
0.4694593548774719,
-0.12783394753932953,
-0.20480039715766907,
-0.5568058490753174,
-0.17966434359550476,
-1.1022915840148926,
-0.097861588001... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Ex Input:
Sherman 'Tank' Turner is a help line operator and a ladies man with a hobby: If a guy loses a girl and wants her back, he gets in touch with Tank and pays him to... | What will happen to Quinn?
| 1 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.5175560712814331,
-0.039112769067287445,
-0.7235420942306519,
0.13933686912059784,
0.11876748502254486,
-0.1510947197675705,
0.8393031358718872,
-0.004858014639467001,
0.027930093929171562,
0.4443657398223877,
-0.4532783627510071,
0.15985828638076782,
-0.5830534100532532,
0.2998607754707... |
Definition: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: Since last April , scientists have learned how acrylamide is formed ., Sentence2: Scientists are working to determine how exactly how acrylamide is ... | Yes | 2 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.39198046922683716,
0.566170334815979,
0.0018394574290141463,
-0.2135653793811798,
-0.2672005593776703,
-0.8696278929710388,
-0.043186962604522705,
0.5315417051315308,
-0.18219667673110962,
-0.4514305591583252,
0.06380044668912888,
-0.5029565095901489,
-0.48968109488487244,
0.36823189258... |
Detailed Instructions: 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 ... | Good | 4 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.8364918231964111,
0.6167027354240417,
0.284417062997818,
-0.22026433050632477,
-0.2604534924030304,
-0.44268739223480225,
0.30981749296188354,
-0.049344610422849655,
-0.2767832279205322,
0.4324745535850525,
-0.04060497507452965,
-0.1563001275062561,
-0.8108232617378235,
-0.0895089432597... |
instruction:
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being t... | A key is for receiving a door .
| 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.1483486294746399,
1.0391011238098145,
-0.44820788502693176,
-0.2665107846260071,
0.3368155360221863,
-0.41681548953056335,
0.13910192251205444,
0.5668342113494873,
0.41649776697158813,
-0.12877610325813293,
-0.5668779611587524,
0.044683072715997696,
-0.4388752281665802,
-0.00147412891965... |
Definition: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks fo... | I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK | 2 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.10792380571365356,
0.3370647430419922,
-0.4065721035003662,
0.018674395978450775,
0.15924379229545593,
-0.10288192331790924,
0.3039991855621338,
0.07092341035604477,
0.02510346658527851,
-0.04520770162343979,
-0.7229286432266235,
-0.19271333515644073,
-0.6802427768707275,
-0.097978487610... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Prostate cancer has _ symptoms in the early stages.
no
Canadian women have a _ in nine chance of getting breast cancer.
one
Statistics indicate that one in three women and one in _ men have experienced se... | six
| 0 | NIv2 | task672_nummersense | fs_opt | [
0.87342369556427,
0.8368302583694458,
-0.6233565807342529,
-0.9211341142654419,
-0.38014423847198486,
0.7159340381622314,
0.8614282608032227,
1.3468631505966187,
0.7382493019104004,
0.044498641043901443,
-0.3482990860939026,
0.46487170457839966,
-0.30731040239334106,
-0.4329001307487488,
... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
One example is belo... | [-37, 71, 61, 41, 27, -20, 83, 100, 96] | 9 | NIv2 | task207_max_element_lists | fs_opt | [
0.21096225082874298,
0.23299852013587952,
-0.6272377967834473,
0.0614120252430439,
0.31399041414260864,
0.045028090476989746,
0.6122909784317017,
0.9675187468528748,
-0.19531555473804474,
0.21111440658569336,
-0.38364529609680176,
0.4147220253944397,
-0.16195574402809143,
-0.11145158112049... |
Definition: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Input: 1, ['3735', '1365', '885']
Output: | 3735 | 2 | NIv2 | task063_first_i_elements | zs_opt | [
-0.4640228748321533,
0.28113076090812683,
-0.43670886754989624,
-0.1907714307308197,
-0.44051259756088257,
0.4486229419708252,
0.44847238063812256,
0.21548500657081604,
0.23111002147197723,
-0.4076628088951111,
-1.0442779064178467,
-0.6101768612861633,
0.2534945607185364,
-0.49103254079818... |
Detailed Instructions: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Problem:The thing I like most about this brand of hot chocolate is that once I remove it from the keurig, it doesn't leak a... | False | 8 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.3992033004760742,
-0.29265230894088745,
0.15695591270923615,
-0.2305574119091034,
0.014068551361560822,
-0.6235408782958984,
0.31048792600631714,
-0.058473628014326096,
-0.6235281229019165,
-0.2696852684020996,
-0.017155051231384277,
-0.6690248250961304,
-0.5837924480438232,
0.195193737... |
Part 1. Definition
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップ... | Dryden left the band in 1970 to play with New Riders of The Purple Sage, a country rock band formed by members of the Grateful Dead. | 7 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.5961814522743225,
0.4889489412307739,
-0.4564841389656067,
0.04184471070766449,
0.022874876856803894,
-0.842904806137085,
0.06699499487876892,
0.44184333086013794,
0.3536180853843689,
-0.5346148014068604,
-0.848225474357605,
0.2810913324356079,
-0.37196940183639526,
0.1011081263422966,
... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Example: Timothy likes to play sports. He spends his time after school playing basketball and baseball. Sometim... | Solution: No | 5 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.2506825923919678,
0.5842558741569519,
-0.3922233581542969,
-0.36350297927856445,
0.11142299324274063,
-0.3081396818161011,
0.9507677555084229,
0.5007444024085999,
-0.2909161448478699,
0.34119105339050293,
-0.3510892987251282,
0.10679535567760468,
-0.22438517212867737,
0.10131871700286865... |
Teacher:Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Teacher: Now, u... | True | 6 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.3783814311027527,
-0.3693322241306305,
0.24664992094039917,
0.5682561993598938,
0.7474049925804138,
-0.7219696640968323,
0.7355622053146362,
0.5532820820808411,
0.5745238065719604,
0.5360857248306274,
0.1730477213859558,
0.02902841567993164,
-0.5682319402694702,
-0.29437166452407837,
... |
Definition: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability... | अगर आप घर लाना चाहते हैं तो आपको अच्छी मिसाल रखनी चाहिए । | 2 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-1.0162043571472168,
-0.11477838456630707,
0.2760520577430725,
0.2675228416919708,
-0.08164164423942566,
-0.41075628995895386,
0.14076265692710876,
0.1601279079914093,
-0.24708113074302673,
-0.7476246953010559,
-1.1007118225097656,
0.06254787743091583,
-0.4647870361804962,
0.66651213169097... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
[EX Q]: ... | Non-identity-attack
| 6 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.4039628207683563,
0.2636297643184662,
0.5186291337013245,
-0.24028372764587402,
-0.45114463567733765,
-0.1289120316505432,
1.0845710039138794,
1.1395454406738281,
0.0390014722943306,
0.12776325643062592,
0.12410411238670349,
0.08973574638366699,
-0.6632126569747925,
-0.7125880718231201,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Q: Pero si miramos la naturaleza, veremos que diferentes tipos de animales pueden tener esperanzas de vida muy distintas.
A: | Pero se miramos a natureza podemos ver que distintos tipos de animais teñen esperanzas de vida moi diferentes. | 4 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-1.4532406330108643,
1.1624053716659546,
-0.2909669876098633,
-0.8630304336547852,
-0.6803367137908936,
-0.6683584451675415,
0.08574657142162323,
0.25524675846099854,
-0.22091108560562134,
-0.5859053134918213,
-0.011803404428064823,
0.5130149126052856,
-0.8549841642379761,
0.49533802270889... |
instruction:
Generate a correct and concise answer for the question based on the words in the context.
question:
Context : Daniela Schadt (born 3 January 1960 in Hanau, West Germany) is a German journalist, and, since 2000, the domestic partner of Joachim Gauck, the President of Germany, who has been legally married si... | Gordon Luce
| 9 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
-0.6856616735458374,
1.3088176250457764,
-0.29226768016815186,
-0.624920129776001,
0.27011382579803467,
0.9838259816169739,
0.7929340600967407,
-0.0921834409236908,
0.12932589650154114,
0.4513474702835083,
0.3038591742515564,
0.8334267139434814,
-1.3379414081573486,
-0.4379892945289612,
... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual ori... | Identity-attack | 7 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.11397428810596466,
0.11221262812614441,
0.5669950246810913,
0.5351161360740662,
0.14897185564041138,
-0.04343482479453087,
0.7425462603569031,
-0.032578736543655396,
0.5121543407440186,
0.31472915410995483,
0.23022925853729248,
-0.22178992629051208,
-0.7957505583763123,
-0.8989924788475... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:There is in particular one amendment, let me... | Det finns bl.a. ett ändringsförslag rörande energisektorn, som jag i egenskap av föredragande vill framhålla som särskilt betydelsefullt. | 8 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.04245174676179886,
1.1059147119522095,
0.486139714717865,
-1.157318353652954,
0.10571392625570297,
-0.8157964944839478,
1.010376214981079,
0.7482813596725464,
0.3676541745662689,
0.38733813166618347,
0.31815624237060547,
0.17109233140945435,
-0.8994697332382202,
-0.47755879163742065,
... |
Definition: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Input: THEM: i would like the hats and the balls. YOU: i would like the book a hat and a ball THEM: how about i get the hats and you take the rest? YOU: sure, ill take both balls and ... | Yes | 2 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.4738112688064575,
0.16147784888744354,
-0.1263345628976822,
0.9867814779281616,
0.28609028458595276,
-0.6223788261413574,
0.1275060474872589,
0.06381820142269135,
0.38171154260635376,
-0.4141785800457001,
-0.11068999022245407,
-0.06662049889564514,
-1.010448932647705,
-0.2381314039230346... |
Definition: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input ... | SIMILAR | 2 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.4667838215827942,
0.4452003538608551,
0.09490769356489182,
-0.22172865271568298,
-0.19021177291870117,
0.11791445314884186,
1.537992238998413,
0.35043811798095703,
0.6242921352386475,
-0.45119720697402954,
-0.8486493825912476,
-0.1304509937763214,
-1.2196674346923828,
0.0893198475241661... |
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.
Ex Input:
Many of the refugees had been severely frost-b... | Swedish
| 1 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.24971216917037964,
0.7462950348854065,
0.4381787180900574,
0.10785280168056488,
0.0774834007024765,
-0.13576579093933105,
0.29533523321151733,
0.612249493598938,
0.15075820684432983,
-0.07273559272289276,
-0.1284579634666443,
0.3513736128807068,
-0.09062059223651886,
-0.3277792036533355... |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
See one example below:
Problem: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Solution: 5
Explanation: The letter 'e' appears 5 times in the s... | 1 | 4 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.5083531141281128,
-0.1446595937013626,
-0.5110396146774292,
0.1230752244591713,
0.29759377241134644,
-0.6224793195724487,
0.9175083637237549,
0.6640962362289429,
-0.3247032165527344,
0.3311587870121002,
-0.9380512237548828,
0.5025352835655212,
-0.3232411742210388,
0.021649103611707687,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Problem:Sentence 1: yeah well it all depends on what the... | no | 8 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7205759286880493,
0.6432788968086243,
0.5432374477386475,
-0.5759077668190002,
0.0320301316678524,
-1.087469458580017,
0.3806072473526001,
1.302049160003662,
0.5789294242858887,
-0.3806198835372925,
-0.3054123818874359,
-0.7600497007369995,
-0.8369132280349731,
-0.11921817064285278,
0... |
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Q: steel
A: | fiel | 4 | NIv2 | task183_rhyme_generation | zs_opt | [
0.6010710597038269,
2.0308070182800293,
-0.09005655348300934,
-0.5726157426834106,
-0.3811666965484619,
-0.2288638800382614,
-0.03741512820124626,
0.5453861355781555,
-0.016242554411292076,
-0.010987745597958565,
0.39794909954071045,
-0.1274242103099823,
-0.26784512400627136,
0.09975948929... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Ex Input:
Title: Game Players Only. Sentence 1: Dan loved ... | Sam won, and the prize was dinner with his favorite player!
| 1 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.21087314188480377,
-0.37476009130477905,
-0.573050856590271,
0.49781179428100586,
-0.17433755099773407,
-0.15168040990829468,
0.2254755198955536,
0.7495158910751343,
-0.1444316953420639,
-0.10049136728048325,
0.07244027405977249,
0.27398911118507385,
0.2782537341117859,
-0.2110735774040... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Q: Title: Riding a Bike... | 52143
****
| 4 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.5278370380401611,
-0.33210721611976624,
-0.27808666229248047,
0.0729575902223587,
0.4613924026489258,
0.17047223448753357,
-0.13022282719612122,
0.946499228477478,
-0.15275245904922485,
0.3051852583885193,
-1.0279150009155273,
-0.08306413888931274,
-0.36849018931388855,
-0.02830658853054... |
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Input: Consider Input: The site collects your financial information for an unspecified purpose. Collection happens by an un... | Output: Unspecified
| 2 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-0.8510817289352417,
0.1175961121916771,
-0.978817343711853,
0.36609864234924316,
-0.563524067401886,
-0.7504690289497375,
-0.053506724536418915,
-0.02721223793923855,
0.12530162930488586,
0.9719444513320923,
0.6248331665992737,
0.2818829417228699,
-0.478178471326828,
-0.8782498836517334,
... |
Detailed Instructions: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Problem:Text: 'Peut-être que des informations sur les équipements irréparables vous intéresseront ...'
Solution: | French | 8 | NIv2 | task896_miam_language_classification | zs_opt | [
0.0906004011631012,
0.6513518691062927,
0.5428146719932556,
0.22799625992774963,
-0.29238542914390564,
-0.6716017127037048,
0.5350884199142456,
0.8696148991584778,
0.3231499493122101,
-0.024786069989204407,
-0.3932083249092102,
-0.1569783091545105,
-0.3611093759536743,
-0.4020630717277527,... |
TASK DEFINITION: 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').
PROBLEM: Most spiders have ____ eyes and eight legs.\Question: Choose the right answer from options given a) eight b) five c) no d... | a
| 8 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.2521868944168091,
0.21377408504486084,
-0.46699991822242737,
-0.18080857396125793,
0.0672135129570961,
0.8290563821792603,
0.7405344843864441,
0.022959472611546516,
0.2916867136955261,
-0.24389849603176117,
-0.13641521334648132,
-0.03432421386241913,
-0.6616549491882324,
0.0093042859807... |
In this task your given two statements in Thai. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
[Q]: ผู้ชายกระแทกศีรษะของเขา
สมองเขากระทบกระเทือน
[A]: effect
[Q]:... | cause
| 5 | NIv2 | task1179_xcopa_commonsense_cause_effect_th | fs_opt | [
-0.5745859146118164,
0.642957329750061,
0.21696412563323975,
-0.8080019950866699,
-0.282388299703598,
-0.5272148251533508,
0.44958391785621643,
0.8184956908226013,
0.6255182027816772,
-0.4925904870033264,
-0.6013489961624146,
0.35271888971328735,
-0.5373154282569885,
0.40840011835098267,
... |
Detailed 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... | look right twice and jump opposite right twice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.10010439157485962,
1.1963257789611816,
-0.3592437505722046,
-0.33750659227371216,
-0.07922808825969696,
0.6574734449386597,
0.2474096715450287,
0.5825691223144531,
-0.37336966395378113,
-0.567050576210022,
-0.8094730973243713,
0.016028713434934616,
-0.65889573097229,
0.02949109673500061,... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Example: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #Patri... | Solution: nearly watergate-size | 5 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.16314110159873962,
0.4960956275463104,
0.4363798499107361,
-0.3662016987800598,
-0.03540492430329323,
-0.6192066669464111,
0.13709524273872375,
0.2583981156349182,
0.15978321433067322,
0.16460320353507996,
-0.18019744753837585,
-0.5528557896614075,
-0.5627403855323792,
-0.260191202163696... |
Detailed Instructions: This task is about translating a given French language sentence to English.
Q: J'ai été incroyablement chanceux, nous avons été incroyablement chanceux.
A: | I've been astonishingly lucky, we've been astonishingly lucky. | 9 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.1911819577217102,
1.2138539552688599,
0.9404128789901733,
-0.6873502135276794,
-0.17715592682361603,
-1.4705219268798828,
0.2588514983654022,
-0.04033361375331879,
0.8386498689651489,
0.402618944644928,
-0.4718937277793884,
0.0619925856590271,
-0.5170611143112183,
-0.13922527432441711,
... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | Yes
****
| 4 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.014768700115382671,
0.21820247173309326,
-0.03886222839355469,
0.2112448513507843,
-0.39787614345550537,
-1.2768137454986572,
0.3727591037750244,
0.5622116327285767,
-0.24906516075134277,
-0.23840689659118652,
-0.10409310460090637,
0.6440167427062988,
-0.3127024173736572,
0.088011190295... |
Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/afte... | What event has already finished? | 8 | NIv2 | task389_torque_generate_temporal_question | zs_opt | [
-0.04010944068431854,
0.9144307374954224,
-0.4480697810649872,
0.10784008353948593,
-0.5181121826171875,
0.05487724393606186,
0.8434785008430481,
-0.12687604129314423,
0.10681857913732529,
-0.10281139612197876,
-0.21356546878814697,
0.023233292624354362,
-0.3092266917228699,
0.850984930992... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Punc Adv V Art N Prep N V V Prep Pron Pron N V Conj Pron V Pron Prep V Punc Punc V Art N Adv Prep Art N N Punc | 6 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.1336294710636139,
0.4801750183105469,
0.027958597987890244,
-0.06809169054031372,
-0.35556483268737793,
-0.4821164011955261,
0.615811824798584,
0.11930739879608154,
0.35528597235679626,
-0.6661666631698608,
-0.5503056049346924,
0.7424554824829102,
-0.5389060378074646,
0.40811213850975037... |
Teacher:Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: Somali sentence: Mar kasta oo ay qaar ka mid ka mid yihiin kooxaha ka mid ah Ehelu Kitaabka la kulmay isagii imtixaamaan ... | Whenever some among the parties of the People of the Book met him they would examine and test his knowledge whereupon he would recite to them relevant verses or chapters from the Koran. He recited to them of the stories of Prophet Moses and Al Khidr, of Prophet Joseph and his brothers, the men in the Cave, Dhu'l Karnai... | 6 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.27583909034729004,
1.1418590545654297,
-0.07615435868501663,
-0.9950120449066162,
-0.012365695089101791,
-0.7346524596214294,
0.4632164239883423,
0.19316959381103516,
-0.1910366714000702,
0.12840640544891357,
0.05649523809552193,
0.5138817429542542,
-1.583845615386963,
-0.08621267974376... |
Detailed Instructions: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Q: Abstract: Cannulation of the fimbriated end of the fallopian tube during gamete intrafallopian tube transfer (G... | Catheterization | 9 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
-1.4985456466674805,
0.02433197759091854,
-0.18386775255203247,
-0.16538004577159882,
0.20726251602172852,
-0.28307265043258667,
-0.24040021002292633,
0.6679205894470215,
-0.1416795551776886,
0.27803170680999756,
-0.1171427071094513,
0.46187257766723633,
-0.9725534915924072,
0.640452206134... |
Teacher:This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Teacher: Now, understand the problem? Solve this inst... | В Латинской Америке и в других развивающихся странах по всему миру МВФ вводит такую систему бухучета, которая не только не имеет какого-либо смысла, но и приводит к необходимости в чрезмерно жесткой экономии. | 6 | NIv2 | task1377_newscomm_translation | zs_opt | [
-0.24850469827651978,
0.23382394015789032,
0.03151103854179382,
-0.8172627091407776,
0.18153320252895355,
0.2513123154640198,
0.52955162525177,
1.0161558389663696,
0.08055536448955536,
0.10667254775762558,
-0.875779390335083,
-0.35059958696365356,
-0.38720089197158813,
0.17518341541290283,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation... | No | 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.3473219871520996,
0.11909529566764832,
0.45416128635406494,
0.25026455521583557,
-0.020533757284283638,
-0.7729060649871826,
0.8549860715866089,
-0.3310090899467468,
-0.15476132929325104,
-0.4911336302757263,
-0.025603875517845154,
-0.04545041173696518,
-0.5838324427604675,
0.5170686841... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Stew reads booka about how to play >Causes/Enables> Stew knows how to play
| 3 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.29288142919540405,
0.4426627457141876,
-0.5683174133300781,
0.0970643013715744,
0.23553186655044556,
-1.2601057291030884,
0.39825016260147095,
0.8628527522087097,
-0.8047714829444885,
-0.262940913438797,
-1.1111371517181396,
0.9025189876556396,
-0.3721332848072052,
-0.5180988907814026,
... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Are there more cylinders or spheres shown? | 4 | NIv2 | task184_break_generate_question | zs_opt | [
0.9855588674545288,
-0.2608640789985657,
-0.8364608883857727,
0.7002664804458618,
0.6197653412818909,
-0.4983610212802887,
1.0561589002609253,
0.2345714271068573,
-0.6389462947845459,
0.6780722141265869,
-0.3574550151824951,
0.380464106798172,
0.19786027073860168,
0.26015985012054443,
0.... |
TASK DEFINITION: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
PROBLEM: Swedish: Detta är olyckligt och det är fel, och vi tror att det ä... | No
| 8 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.14170770347118378,
0.34645065665245056,
-0.025048671290278435,
0.24157081544399261,
0.48661747574806213,
-0.570772647857666,
0.5150598287582397,
0.9905464053153992,
-0.17657695710659027,
0.46633702516555786,
0.4067092835903168,
0.7171712517738342,
-0.5776207447052002,
0.2445521801710128... |
Detailed Instructions: 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".
Q: Mary visited the gym much more rarely than Katrina, and indeed _ was by far the more physically active of the two. (A) Mary (B) ... | B | 9 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.9411834478378296,
0.6019546389579773,
-1.0006271600723267,
-0.5788646936416626,
-0.42234116792678833,
-0.8485974073410034,
-0.19588488340377808,
0.89137864112854,
0.7861188650131226,
0.4237763285636902,
-0.010487111285328865,
0.07415870577096939,
0.13638761639595032,
-0.3414311408996582,... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Problem:As her shots fail to shutter the window, someone strolls back to the nuclear warfare computer. She
Solution: | lifts the receiver in another direction. | 8 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.5231804847717285,
0.9935613870620728,
-0.5946628451347351,
0.4687119126319885,
-0.31019631028175354,
0.23133033514022827,
0.3469514846801758,
0.6632208824157715,
0.45650601387023926,
0.4830402433872223,
-0.05344918370246887,
-0.2793952226638794,
-0.3422723114490509,
0.4184834659099579,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as... | سپس می توانیم ، از طیف وسیعی از گزینه ها ، بهترین را انتخاب کنیم. | 1 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.9323954582214355,
1.0422251224517822,
-0.18537579476833344,
0.039248086512088776,
-0.2570434808731079,
0.07817140966653824,
0.5651397705078125,
1.0512080192565918,
-0.1333896964788437,
0.22216233611106873,
-1.431071400642395,
0.46941977739334106,
-0.13368666172027588,
-0.018750045448541... |
You will be given a definition of a task first, then some input of the task.
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, Per... | Yes | 1 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.3458966612815857,
-0.03557431325316429,
0.560093343257904,
-0.2292829304933548,
-0.08094863593578339,
-0.9845621585845947,
0.7991185784339905,
1.0086637735366821,
-0.6744044423103333,
-0.3423859179019928,
-0.3593679368495941,
-0.4141687750816345,
-0.43592190742492676,
0.26563823223114014... |
Q: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
The song La donna e mobile comes from which Verdi opera?
A: | rigoletto | 7 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.2016337811946869,
0.8978099822998047,
-1.0013359785079956,
0.049265056848526,
-0.6489583253860474,
-0.0834042876958847,
0.30434706807136536,
0.5967578887939453,
0.38050463795661926,
-0.534956693649292,
-1.0540013313293457,
0.06703488528728485,
0.09280512481927872,
0.1569303274154663,
-... |
instruction:
Given a scientific question, generate a correct answer to it.
question:
The movement of bone away from the midline of the body is called what?
answer:
extension
question:
What are most protist diseases in humans caused by?
answer:
protozoa
question:
What would cause warm receptors to signal the hypotha... | increased temperature
| 9 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.47764456272125244,
0.21998390555381775,
-0.9093527793884277,
0.16370728611946106,
-0.42648497223854065,
-0.46714985370635986,
-0.23716582357883453,
-0.31214773654937744,
-0.14764422178268433,
-0.648411750793457,
-0.5075783729553223,
0.6527266502380371,
-0.8029775619506836,
0.131522253155... |
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the cor... | False | 6 | NIv2 | task1187_politifact_classification | zs_opt | [
0.08158677816390991,
0.3838611841201782,
-0.004033198580145836,
-0.833031415939331,
-0.4285772740840912,
-0.6754631400108337,
0.9682408571243286,
0.5022691488265991,
0.10065709054470062,
-0.5297345519065857,
-0.47717392444610596,
-0.10393297672271729,
-0.6413231492042542,
0.135654956102371... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: Aqui a mais nova de sete irmãos ia ter de se pôr no lugar da frente.
A: | This youngest of seven had to get herself to the front of the line. | 9 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.5388462543487549,
1.3223092555999756,
-0.40549731254577637,
-0.5966349840164185,
-0.6555467844009399,
-0.902600884437561,
-0.7711532115936279,
1.575685977935791,
1.084036946296692,
-0.04122578352689743,
0.1839786171913147,
0.08748020231723785,
-0.5730875134468079,
0.4440571665763855,
0... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
I won't have any money. | 1 | 0 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.20766372978687286,
0.7174271941184998,
0.42916861176490784,
-0.40058210492134094,
-0.28869563341140747,
-1.1008379459381104,
0.18915429711341858,
1.1582022905349731,
-0.32577598094940186,
-0.35655131936073303,
-0.34972840547561646,
-0.9493789672851562,
-0.43055951595306396,
-1.097936153... |
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref... | No | 4 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
0.010254181921482086,
0.34308525919914246,
-0.10467062145471573,
0.3463246524333954,
0.048867952078580856,
-0.038151323795318604,
1.1073415279388428,
0.9701344966888428,
-0.7857564687728882,
-0.033979058265686035,
0.08414223790168762,
-0.15637518465518951,
-0.45634356141090393,
0.765757203... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Example Input: medRxiv preprint Interpretation Parameters that successfully reproduce the observed number of cases indica... | Failure to Spread Bovine Virus Diarrhoea Virus Infection from Primarily Infected Calves Despite Concurrent Infection with Bovine Coronavirus
| 3 | NIv2 | task1161_coda19_title_generation | fs_opt | [
-0.07331663370132446,
0.4318951964378357,
-0.7092559933662415,
0.07933090627193451,
0.4409591853618622,
0.13682882487773895,
0.3022570312023163,
0.5710561871528625,
-0.4126909077167511,
0.599193811416626,
-0.4938799738883972,
0.4227723479270935,
0.2814483642578125,
0.22412408888339996,
0... |
You will be given a definition of a task first, then some input of the task.
Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents a... | Not Hope Speech | 1 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.4624520540237427,
-0.2605956196784973,
0.39854058623313904,
0.0814928263425827,
0.0645059123635292,
-0.5814290046691895,
0.25545990467071533,
0.4587814211845398,
-0.25198090076446533,
-0.03244372084736824,
-0.6164353489875793,
-0.08787331730127335,
-0.3997734785079956,
-0.11021063476800... |
Q: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Eugenie is Neutral . Eugenie is the... | no | 7 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.1263681650161743,
-0.2344890832901001,
0.5187397599220276,
-0.7599033713340759,
-0.48548978567123413,
-1.5502630472183228,
0.243723064661026,
0.8715307712554932,
0.45313116908073425,
0.18243408203125,
0.5527142286300659,
-0.24090448021888733,
-0.05068675056099892,
-0.431732177734375,
... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Q: Human torovirus (HTV) and Breda virus (BRV), members of the genus torovirus in the family Corona... | The novel hemagglutinin-esterase genes of human torovirus and Breda virus | 9 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.20317411422729492,
0.09762833267450333,
-0.28274714946746826,
0.5288756489753723,
0.4140303134918213,
-0.42531126737594604,
0.7519453167915344,
0.9151096343994141,
-0.11842773109674454,
0.15259094536304474,
-0.917273759841919,
0.6451725959777832,
-0.650391697883606,
0.16706891357898712,
... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Ex Input:
[889, -265, 43, -318, 597, -678, 621, -324, -711, 189, 810, 25, -268]
Ex Output:
[890, -260, 40, -320, 600, -680, 620, -320, -710,... | [-350, 510]
| 1 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.4010436534881592,
0.39678293466567993,
-0.3256046772003174,
0.04607178270816803,
-0.6151441931724548,
-0.15436792373657227,
0.4774622917175293,
0.03420523554086685,
-0.463283509016037,
0.015165392309427261,
-0.8173306584358215,
0.1249530017375946,
-0.7267246842384338,
0.0217466130852699... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
For us — there's the object — for us, it was two projects. One, to design the interface so that the interface doesn't get in your way.
Output: | הנה החפץ. בשבילנו, זה היה שני פרוייקטים. אחד, לעצב את הממשק כך שהממשק לא יפריע. | 1 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.3322082757949829,
0.5021481513977051,
0.6014840602874756,
-0.11007620394229889,
-0.013220062479376793,
-0.12626603245735168,
0.4097954034805298,
-0.1195177212357521,
1.147222638130188,
0.4707738161087036,
0.059398308396339417,
0.21431778371334076,
-0.25205913186073303,
-0.21272492408752... |
Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: "R" TOWN
Clue: This Georgia city was founded in 1834 on a site ... | rome | 3 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.8176602721214294,
1.1404211521148682,
0.17962582409381866,
0.017912957817316055,
0.2822096645832062,
-0.26075905561447144,
0.6256047487258911,
0.7457906007766724,
-0.27484405040740967,
-0.019323084503412247,
-0.6785084009170532,
0.09071550518274307,
-0.8129924535751343,
-0.1021961271762... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Problem:de tudo o que acontece lá fora.
Solution: | これらは、相互に関係し合っています | 8 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
0.08414757251739502,
0.4862343668937683,
-0.4668988585472107,
-0.11441503465175629,
-0.4723311960697174,
0.5316306352615356,
-0.3706008791923523,
0.825187623500824,
0.6021203398704529,
-0.4990484118461609,
-0.7168580293655396,
0.25446903705596924,
-0.9004967212677002,
0.7554192543029785,
... |
Teacher:In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your ch... | b | 6 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.7142990827560425,
0.4848669171333313,
-0.145833820104599,
-0.17907674610614777,
0.618019700050354,
-0.3671209216117859,
0.7367384433746338,
0.6650012731552124,
-0.4053477644920349,
0.38582098484039307,
0.1078433096408844,
-0.3189942240715027,
-0.06570810079574585,
0.24341073632240295,
... |
Given the task definition and input, reply with output. In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the... | [2, 7] | 5 | NIv2 | task098_conala_list_intersection | zs_opt | [
-0.018425751477479935,
0.19842271506786346,
-0.03445608168840408,
-0.2742222845554352,
0.21193182468414307,
0.29060491919517517,
0.4845092296600342,
0.08853350579738617,
0.08747078478336334,
0.09504429996013641,
-0.7911251783370972,
-0.3480088412761688,
-0.28120195865631104,
0.222066581249... |
You will be given a definition of a task first, then some input of the task.
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 para... | Filmmaking. | 1 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.04886753857135773,
0.49474793672561646,
-0.321414589881897,
0.6327172517776489,
0.5406761169433594,
-0.3891334533691406,
0.25944405794143677,
0.6189678907394409,
0.23722295463085175,
0.5069156289100647,
-0.5877205729484558,
0.6323636770248413,
-0.0453750304877758,
-0.2826884388923645,
... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is prese... | 7869 | 5 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.16344644129276276,
0.6140331029891968,
-0.44230324029922485,
-0.6369425058364868,
0.11674579977989197,
0.09793020784854889,
0.04839262366294861,
0.21294502913951874,
0.24256226420402527,
0.07075587660074234,
-0.602834165096283,
0.6406731009483337,
0.069343701004982,
-0.28429746627807617... |
instruction:
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being t... | A tent is a pain to tent outside .
| 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.33099570870399475,
1.058837890625,
-0.40083426237106323,
-0.31390994787216187,
-0.28285303711891174,
-1.161590814590454,
0.31584081053733826,
0.4335274398326874,
-0.020694037899374962,
-0.5673392415046692,
-1.2651026248931885,
0.38021305203437805,
-1.0142393112182617,
0.07736242562532425... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WP NN VBZ DT JJS NN IN NNS IN DT CD NNP NNPS .
| 7 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.002298537641763687,
0.14925983548164368,
-1.031335473060608,
0.9735611081123352,
-0.1702621579170227,
-0.38893118500709534,
0.8276890516281128,
0.46789056062698364,
0.057114940136671066,
-0.04232922941446304,
0.032059524208307266,
0.2549166977405548,
-0.35810142755508423,
0.062309600412... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
One example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Solution is here: 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
Explanation: The Farsi sentence is correctl... | 例えば中国にはグレート・ファイアウォールがあります | 6 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.16273248195648193,
1.2673263549804688,
-0.7521762847900391,
0.12785710394382477,
-0.38619303703308105,
-0.023111563175916672,
0.869782567024231,
0.16554507613182068,
-0.0346667617559433,
-0.37469998002052307,
-0.83489590883255,
0.3881242275238037,
-0.7546935081481934,
0.15558433532714844... |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: Makes a joke out of car chases for an hour and then gives us half an hour of car chases .
Outpu... | NEG | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.006000280380249,
-0.11647000163793564,
0.8836016654968262,
0.13326701521873474,
-0.06152547895908356,
-0.6922915577888489,
1.1468100547790527,
0.24958276748657227,
0.3496796488761902,
0.11715870350599289,
-1.1209276914596558,
-1.120753526687622,
0.32341402769088745,
0.058459050953388214... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Q: [-52, 11, 80, -32, -92, -89, 4, 33, 17, 50, -31]
A... | [-52, 11, 80, -32, -92, -89, 4, 17, 50, -31] | 9 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.2651675045490265,
-0.16361024975776672,
-0.5177021622657776,
-0.8158243894577026,
0.52984619140625,
-0.18157128989696503,
1.1328295469284058,
-0.22068452835083008,
-0.17246520519256592,
0.23219452798366547,
-0.49429288506507874,
0.12107294797897339,
-0.15554910898208618,
-0.072701022028... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event.... | Yes | 2 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.2517026662826538,
0.34409666061401367,
0.15912118554115295,
0.028065402060747147,
-0.3898265063762665,
-1.0055363178253174,
1.5148802995681763,
-0.28576627373695374,
-0.6926310658454895,
-0.48006540536880493,
-0.30846869945526123,
-0.6987481117248535,
-0.6397778987884521,
0.3956540524959... |
Detailed Instructions: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem im... | True | 8 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.4781254529953003,
0.2266974151134491,
-0.36535751819610596,
-0.22086098790168762,
-0.36498507857322693,
0.437500536441803,
0.897016167640686,
0.7904840707778931,
0.41704556345939636,
-0.11126446723937988,
-0.6531855463981628,
-0.22570690512657166,
-0.2950935661792755,
0.3369591832160949... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Part 2. Example
خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Answer: Bueno, yo digo nada, pero en realidad hay una unidad de investigaci... | Y, cuando la vi después de dos días, dije "Dios mío, ésta es la pintura, ésta es la llave, éste es el acertijo," y, a partir de ahí, mi tratamiento se disparó | 7 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.45791134238243103,
0.5047438740730286,
-0.23103976249694824,
-0.17351463437080383,
-0.28429144620895386,
-0.11143065989017487,
0.5527501106262207,
0.5685106515884399,
-0.4626719355583191,
-0.3560822010040283,
-0.3574422001838684,
0.368430495262146,
-0.18259689211845398,
-0.0451097302138... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ジャイアントアジアレーシングチームのサイクリストで、ツール・ド・台湾... | No | 5 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.5123677849769592,
-0.25482892990112305,
0.2203248143196106,
-0.17758533358573914,
-0.17006200551986694,
-0.5559669137001038,
0.1728086769580841,
0.30459675192832947,
-0.6763465404510498,
-0.4326667785644531,
-0.3245004117488861,
0.4754992723464966,
-0.7117619514465332,
0.669918417930603... |
Teacher:In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Teacher: Now, understand the problem? Solve this instanc... | e, i, j, k, o, p, q, r, s, u, w, y | 6 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.43817654252052307,
0.5048864483833313,
-0.24755524098873138,
-0.2764289379119873,
0.23672151565551758,
-0.07606957852840424,
0.2795192003250122,
0.3825719952583313,
-0.4786593019962311,
0.5034031867980957,
-0.01195940189063549,
-0.3332686126232147,
-0.12452073395252228,
-0.2233005166053... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
مردم نیز با هجراها همراه شده و از طریق توئیتر از آنها حمایت کردند:
| People also celebrated with them and shared support via Twitter: | 5 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.7363876700401306,
1.0006129741668701,
0.6046270728111267,
0.43421730399131775,
-0.43636849522590637,
-0.22878268361091614,
0.7296000719070435,
0.410186767578125,
0.736191987991333,
-0.4513486325740814,
-0.7285747528076172,
0.41787928342819214,
-0.140060693025589,
0.13587740063667297,
... |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | Set your outfit out after waking up. | 0 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.2251063734292984,
1.0265108346939087,
-0.4078606963157654,
0.4755658507347107,
-0.5564142465591431,
-0.5812171697616577,
0.24875114858150482,
0.24737302958965302,
-0.060938190668821335,
0.15838517248630524,
-0.3896258771419525,
0.13130299746990204,
-0.3367025852203369,
-0.338859915733337... |
Given the task definition and input, reply with output. In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
2, ['H', 'C', '9681', 'j', 'B', 'z', 'Q', 'v', 'g', 'C',... | H, C, 9681, j, B, z, Q, v, g, C, k, z, Q, 9055, 8419, w | 5 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
-0.2785767614841461,
0.536779522895813,
0.04323772341012955,
-0.25473910570144653,
-0.30353328585624695,
-0.1779094934463501,
-0.10660591721534729,
-0.39194753766059875,
-0.4459820091724396,
-0.3719969391822815,
-0.8476510047912598,
-0.18658065795898438,
0.573743462562561,
-0.1178206950426... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example input: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Example output: Ora, lungo ... | Abbiamo iniziato dalla parte palestinese del muro. | 3 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.18403570353984833,
1.282111406326294,
-0.0604170486330986,
0.2947196364402771,
-0.27857452630996704,
-0.12657207250595093,
-0.6637737154960632,
1.427376389503479,
-0.13761600852012634,
0.6089745759963989,
-0.26800522208213806,
0.5724472403526306,
-0.3366645872592926,
-0.2094782888889312... |
Detailed 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... | jump around left twice after look opposite right | 9 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.07536187767982483,
1.1573536396026611,
-0.397310733795166,
-0.2938135862350464,
0.03222404792904854,
0.5445090532302856,
0.07929620146751404,
0.724926233291626,
-0.41844749450683594,
-0.48213839530944824,
-0.8926838636398315,
-0.12525129318237305,
-0.7406243681907654,
0.04039603471755981... |
Instructions: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Input: Sentence: The dev... | Nurse | 3 | NIv2 | task343_winomt_classification_profession_anti | zs_opt | [
-2.052154541015625,
0.7661936283111572,
-0.04561203345656395,
-1.0352768898010254,
0.144914448261261,
-0.211633563041687,
-0.16537103056907654,
0.7517129182815552,
0.8605908155441284,
0.24999898672103882,
-1.2063521146774292,
0.5018635988235474,
-0.742080569267273,
-0.7720969915390015,
0... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
(Risate) "" Ti sembra che possa scrivere una canzone ora? | (Risas) "" ¿Te parece que puedo escribir una canción ahora? | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
0.09436259418725967,
1.9141520261764526,
0.5589849352836609,
0.634253978729248,
-0.08991886675357819,
-0.4498581290245056,
0.09203436225652695,
1.5893142223358154,
0.27328187227249146,
-0.6570308208465576,
0.6909849643707275,
-0.08170142024755478,
-0.05437861755490303,
0.4008316099643707,
... |
TASK DEFINITION: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
PROBLEM: Context: Scoop is a 1938 novel by the English writer Evelyn Waugh , a sa... | sweden
| 8 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.41278553009033203,
0.25932127237319946,
-0.15550556778907776,
-0.4665263295173645,
0.6026837229728699,
-0.30411994457244873,
0.9523481726646423,
0.8734281063079834,
-0.03910541534423828,
0.21865399181842804,
-0.472859263420105,
0.6884567737579346,
-1.0429773330688477,
-0.0404166504740715... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A man is biking outside. | 0 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
0.06960903853178024,
0.5912940502166748,
-0.24521225690841675,
-0.49835845828056335,
-0.15446607768535614,
-0.2596893906593323,
0.5279042720794678,
0.6785192489624023,
0.3643406331539154,
-0.4609239101409912,
-1.3269739151000977,
-0.17442667484283447,
-0.3679606020450592,
0.270256519317626... |
Instructions: Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Input: compare
Output: | clair | 3 | NIv2 | task183_rhyme_generation | zs_opt | [
0.4063989520072937,
1.918044090270996,
0.2150130569934845,
-0.19897480309009552,
-0.4909563660621643,
0.31311342120170593,
0.24528023600578308,
0.5852523446083069,
0.016613392159342766,
-0.06286361813545227,
-0.4333621859550476,
-0.44614213705062866,
-0.6554670333862305,
-0.198678180575370... |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: ニューサウスウェールズ州の主要産業大臣は、この施設はインフルエンザの最後の兆候が見られてから30日間隔離される... | Islamic militants have vowed to fight pirates holding the Saudi Arabian oil tanker Sirius Star off the Somalian coast.
| 7 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.014976439997553825,
0.32084083557128906,
0.38776955008506775,
-0.6582039594650269,
0.11532346159219742,
-0.3488702178001404,
0.3473656177520752,
0.39308103919029236,
-0.280398428440094,
-0.05388820171356201,
0.2182919830083847,
0.7440338730812073,
-0.33266496658325195,
0.0048986999318003... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | Solution: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT | 5 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.1870567798614502,
0.5841045379638672,
-0.35293710231781006,
-0.14530572295188904,
0.09370895475149155,
-0.06532102078199387,
0.46711570024490356,
0.04716993868350983,
-0.21933598816394806,
-0.4374680519104004,
-0.8743982911109924,
-0.4012598395347595,
-0.8386335968971252,
-0.130809962749... |
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, '2, 4, 8, 16, 32, 64, ... | [256, 1024, 1024, 4096, 16, 32, 4, 128, 1024, 4096] | 3 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.43701475858688354,
0.8907247185707092,
-0.2943055033683777,
-0.21136948466300964,
-0.28087836503982544,
0.014689715579152107,
0.6222668886184692,
0.703341007232666,
-0.24476686120033264,
0.17134109139442444,
-0.31397712230682373,
0.6269239783287048,
-0.07697330415248871,
0.0670079961419... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Quando... | B | 1 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | zs_opt | [
0.4060245156288147,
0.9794641733169556,
-0.4334188997745514,
-0.2791503071784973,
-0.7677756547927856,
0.11930239945650101,
0.3356228470802307,
1.2968605756759644,
0.053855106234550476,
0.08239942789077759,
-0.30507615208625793,
-0.09997966140508652,
0.134218230843544,
-0.4512622356414795,... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
--------
Question: 17 வது மக்களவை தொடக்கத்தில் பிரதமரின் ஊடக அறிக்கை
Answer: 17-ാം ലോകസഭാ സമ്മേളനത്തിന് മുന്നോടിയായി പ്രധാനമന്ത്രിയുടെ മാധ്യമ പ്രസ്താവന
... | ഗുണമേന്മയുള്ളതും താങ്ങാനാകുന്നതുമായ ആരോഗ്യസംരക്ഷണത്തിന് ആയുഷ്മാന് ഭാരത് പദ്ധതി മുഖ്യപങ്കുവഹിക്കുമെന്നും പ്രധാനമന്ത്രി വ്യക്തമാക്കി.
| 7 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
0.42963510751724243,
0.46193206310272217,
-0.5585258603096008,
-0.5129858255386353,
0.2897709608078003,
-0.7181887626647949,
0.08423590660095215,
-0.03749753534793854,
0.18700484931468964,
0.5554894804954529,
-0.0009582338389009237,
0.6900704503059387,
-0.3228776454925537,
0.33416491746902... |
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