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 |
|---|---|---|---|---|---|---|
This task is about translating a given Yoruba language sentence to English.
Ex Input:
ìmọ̀ ẹ̀kọ́ oúnjẹ sísè pẹ̀lú àwọn akẹ́kọ̀ọ́ Ifásitì, tí a sì lè lò fún ìlú mìíràn bákan náà.
Ex Output:
culinary skills with university students, and can be used for other audiences as well.
Ex Input:
Bó tiẹ̀ jẹ́ pé wọ́n ti jẹ́ kó ... | Witnesses in Venezuela are actively comforting the many distressed people in the country with the Bible’s message.
| 1 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.34284740686416626,
0.5854365825653076,
0.755824863910675,
0.025952933356165886,
0.04428454115986824,
-0.3185873031616211,
0.22521424293518066,
0.862742006778717,
-0.3115096390247345,
-0.6039712429046631,
0.21577507257461548,
0.704314112663269,
-0.5193636417388916,
0.18849000334739685,
... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Problem:Title: Earring. Sentence 1: Tracy was wearing a brand new pair of earrings. Sentence... | It wasn't until much later until she found the missing earring. | 8 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.034913934767246246,
1.2632946968078613,
0.0179829690605402,
0.1382753849029541,
-0.20012521743774414,
0.06047262251377106,
0.3429063558578491,
0.356050580739975,
-0.12201657891273499,
-0.3221786618232727,
-0.6024571657180786,
-0.03030373342335224,
0.001309197978116572,
0.356913983821868... |
Q: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
So-so at it's best. Great scenery. Good-looking men, but so typically "chick-flick" despite the true story. Diane Lane's character is a disillusioned divorcee who takes a trip to Italy and on a whim decide... | Negative | 7 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.5082507133483887,
0.04281773418188095,
-0.08546437323093414,
-0.25717777013778687,
0.32668429613113403,
0.14616744220256805,
0.8442431688308716,
0.8057273626327515,
-0.2835245132446289,
0.9656175374984741,
-0.021118391305208206,
0.2266550213098526,
-0.757415771484375,
-0.770995140075683... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Solution: Yes | 5 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
1.2139509916305542,
-0.1710585653781891,
-0.11923554539680481,
0.3566473722457886,
-0.3702530264854431,
-1.2674338817596436,
1.4017491340637207,
0.5648155808448792,
-0.9612403512001038,
-0.05902423709630966,
-0.1859748214483261,
-0.6279667019844055,
-0.6756811738014221,
-0.0817435905337333... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | Output: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF',... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.0677792876958847,
-0.2587880492210388,
-0.042240582406520844,
-0.3319714069366455,
0.43776074051856995,
0.09081020206212997,
0.49845999479293823,
1.3317465782165527,
-0.08120107650756836,
-0.14819008111953735,
0.0378936305642128,
-0.2896319627761841,
-0.25297778844833374,
-0.069994390010... |
Teacher: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Now, it's next door, or in my house.
Solution: Agora, está ao lado, ou na miña casa.
Reason: The English sentence is corr... | Segundo, xulgar. | 2 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.5878283977508545,
0.94573974609375,
0.2723611295223236,
-0.7798304557800293,
-0.33309656381607056,
-1.0986816883087158,
-0.1483965367078781,
1.1432857513427734,
0.03092087432742119,
-0.09601812064647675,
-0.015980582684278488,
0.17259442806243896,
-1.1800118684768677,
-0.415831506252288... |
Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i... | 9899 | 3 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.040460869669914246,
0.21635562181472778,
-0.5340336561203003,
-0.6229782104492188,
0.11974810063838959,
0.2757532596588135,
0.48719286918640137,
-0.059442389756441116,
-0.7526895403862,
0.06059189885854721,
-0.7525146007537842,
0.8220277428627014,
0.49227216839790344,
-0.632256567478179... |
Given the task definition, example input & output, solve the new input case.
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
Example: It 's a lovely film with lovel... | POS | 1 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.8758887052536011,
0.2217143476009369,
0.20694458484649658,
0.37135353684425354,
0.600147008895874,
-0.2890234589576721,
0.3334920406341553,
0.7081955671310425,
0.3339887857437134,
0.3950335383415222,
-0.4614161252975464,
-0.3630397319793701,
0.689823567867279,
-0.03765224292874336,
0.... |
Given the task definition and input, reply with output. You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
Speaker 1: Hey Rach! Hey, you mind if I read my c... | Rach | 5 | NIv2 | task906_dialogre_identify_names | zs_opt | [
-0.32704949378967285,
0.6480361819267273,
0.05839823558926582,
-0.2274813950061798,
-0.18880707025527954,
0.3110548257827759,
0.3355904221534729,
0.05002092942595482,
0.49011778831481934,
-0.34571635723114014,
-0.6322440505027771,
0.05974550172686577,
-0.5919622778892517,
0.033150359988212... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes | 4 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.26697900891304016,
-0.1435534656047821,
-0.3250453770160675,
0.16728273034095764,
0.24216756224632263,
-0.2808673679828644,
0.24807456135749817,
0.4679599702358246,
0.2683280408382416,
-0.17160728573799133,
-0.47546035051345825,
0.14383862912654877,
0.1244984120130539,
0.498279511928558... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
question:
Iremos ver isso no Brasil depois do "" impeachment "" e quando finalmente virmos a eleição de um novo presidente legítimo.
answer:
و سنرى ذلك في البرازيل بعد المحاكمة وانتخاب رئيس شرعي جديد هناك.... | حتماً انا سعيد لانني على قيد الحياة في هذه الحقبة لانه بدون الذكاء والذاكرة لا وجود للتاريخ
| 9 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.0645533949136734,
0.3337026834487915,
0.4135197699069977,
-0.37871745228767395,
-0.21120169758796692,
-0.5348164439201355,
0.4679175317287445,
0.6188576221466064,
0.20055405795574188,
-0.007831200957298279,
-0.9301252961158752,
0.27696049213409424,
-0.36926981806755066,
0.60127443075180... |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype
| 6 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
0.061080917716026306,
0.1161915585398674,
0.011865492910146713,
0.48565778136253357,
-0.09947136044502258,
0.026843469589948654,
0.05333553999662399,
1.3668577671051025,
0.5453677177429199,
0.09022614359855652,
-0.3696874976158142,
-0.147483229637146,
-0.2706657946109772,
-0.70915096998214... |
You will be given a definition of a task first, then some input of the task.
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.
passage: The dairy cow will produce large amounts of milk in its lifetime. Production ... | No | 1 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.26607662439346313,
0.27399009466171265,
0.23681867122650146,
0.4054871201515198,
-0.5072550177574158,
-0.18217751383781433,
0.25982147455215454,
1.0383021831512451,
0.051387667655944824,
0.23591366410255432,
-0.4746260344982147,
-0.16545969247817993,
-0.7778895497322083,
0.1860181540250... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Naszym kluczowym narzędziem jest sztuka, bo obecnie żyjemy w ciągłym biegu. i nie mają czasu czytać. | A nossa arma mais poderosa é a arte, porque vivemos num mundo atarefado, onde as pessoas estão muito ocupadas e não têm tempo para ler. | 0 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.8824672102928162,
1.245641827583313,
0.17259667813777924,
-0.7795566916465759,
-0.17658205330371857,
-0.5060372352600098,
-0.4577130675315857,
0.09579557180404663,
0.82618248462677,
-0.41168898344039917,
-0.3016735911369324,
0.08765357732772827,
-0.30438169836997986,
0.12253794819116592... |
Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Input: 1, 4, ['1165', '6831', 'K', '1255', 'g', 'E'... | 1165, g, 7017, 7117, 3315, S | 3 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.42042726278305054,
0.13683843612670898,
-0.7273640036582947,
-0.7421393990516663,
-0.647213339805603,
-0.19123446941375732,
0.7264761328697205,
-0.4184250831604004,
-0.245070680975914,
-0.11396458745002747,
-0.7742664813995361,
-0.48670053482055664,
0.20280836522579193,
0.118794754147529... |
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 Alexander Nix is Neutral . Nix replie... | yes | 0 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.2588889598846436,
-0.43253040313720703,
0.6316729784011841,
0.1207948550581932,
-0.07538415491580963,
-1.6170029640197754,
1.0923233032226562,
-0.3733668923377991,
0.36252763867378235,
0.39104965329170227,
1.2470510005950928,
-0.29056552052497864,
-0.9380545020103455,
-0.195397898554801... |
Detailed Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, find... | 32947100 | 8 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
0.07854393124580383,
0.2564592957496643,
-0.39037880301475525,
-0.6300170421600342,
0.06883633881807327,
0.10466263443231583,
0.38025224208831787,
0.26978981494903564,
-0.3335527181625366,
-0.5149979591369629,
-1.0277941226959229,
0.23203036189079285,
-0.01305765938013792,
-0.0649915635585... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | (A)
| 3 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.8397901654243469,
0.4776379466056824,
-0.19733107089996338,
-0.02264934778213501,
0.34882572293281555,
-0.995284914970398,
0.2528111934661865,
0.9759408831596375,
-0.42277103662490845,
-0.13840892910957336,
-0.5933876633644104,
0.1912936270236969,
-0.2768186330795288,
-0.0170519612729549... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence.
Q: பிரிக்ஸ் நாடுகளின் வெளியுறவுத்துறை செய்தித் தொடர்பாளர்களின் கலந்துரையாடலுக்கான தென்னாப்பிரிக்காவின் முன் முயற்சியை ஏற்றுக்கொள்கிறோம... | We acknowledge the South African initiative regarding a BRICS Foreign Affairs Spokespersons Engagement. | 9 | NIv2 | task992_pib_translation_tamil_english | zs_opt | [
0.07523993402719498,
0.02732323855161667,
0.2250271439552307,
-0.08121921122074127,
-0.16928604245185852,
-0.9126245975494385,
0.2140657603740692,
-0.4379572868347168,
-0.3640991151332855,
0.6453053951263428,
-0.33742761611938477,
0.3208274245262146,
-0.9014587998390198,
0.6476037502288818... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
كان ذاك هو الفصل الثاني: حقبة النفط
A: | Este é o capítulo dois: a era do petróleo. | 7 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.43647974729537964,
0.8031642436981201,
0.46128785610198975,
-0.46895837783813477,
-0.6430153846740723,
0.3085087537765503,
0.3072623610496521,
0.9514137506484985,
1.074723243713379,
-0.4673374593257904,
-0.13200370967388153,
-0.7320957183837891,
-0.11181522905826569,
-0.1708639562129974... |
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.
Sentence 1: According to the EPA's discussion, the streamlined requirements of... | no | 0 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7738780379295349,
0.3505092263221741,
0.9524064064025879,
-0.009935038164258003,
-0.02419290319085121,
-1.038015365600586,
0.5398682355880737,
1.1260285377502441,
0.215387761592865,
0.6682575345039368,
-0.25380557775497437,
-0.531517744064331,
-0.21669158339500427,
-0.40019264817237854,... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Ex Input:
what does Jack Warner act in?
Ex Output:
The Quatermass Xperiment, Carve Her Name with Pride
Ex Input:
what was the release ye... | Krzysztof Kieslowski, Krzysztof Piesiewicz
| 1 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.39517509937286377,
0.8737280964851379,
-0.5867209434509277,
0.5362080335617065,
-0.1306810975074768,
-0.4861423969268799,
0.6558994650840759,
0.6639936566352844,
-0.10567128658294678,
0.3455275297164917,
0.5042212009429932,
0.21583163738250732,
-1.2128393650054932,
-0.19909530878067017,... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language rega... | Non-obscene | 6 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.9292346835136414,
0.38606083393096924,
1.0274653434753418,
0.03776039928197861,
0.344589501619339,
-0.2619851231575012,
-0.04973789304494858,
0.36216509342193604,
0.3146601915359497,
0.4219275712966919,
-0.003417008323594928,
-0.23334701359272003,
-0.21389299631118774,
-1.22103762626647... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
ولكن اليوم بعد أن حصل على كرسينا جلس عليه مباشرة ، وسار ذلك الكيلومتر الواحد ، وفتح متجره وبعد ذلك حصل على عقد لصنع ملابس الزي المدرسي وبدأ في الحصول على المال ، ليعيل... | 彼はLFCを手に入れた翌日車いすに飛び乗り 1キロの道を走り店を開けましたまもなく学校の制服を作る契約を結び稼ぎで再び家族を養えるようになりました | 5 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.5546345710754395,
0.27838337421417236,
-0.3218247890472412,
0.2667463421821594,
-0.5930718779563904,
0.850261926651001,
0.680207371711731,
0.06168437749147415,
0.49067777395248413,
-0.43113505840301514,
-0.18299700319766998,
0.25700950622558594,
-0.4546723961830139,
0.20584456622600555,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Ex Input:
Najpierw foka szybko podpłynęła
Ex Output:
واول شيء قامت به "" فهدة البحر ""
Ex Input:
Mrówki nie tworzą nowych mrówek, to kolonie tworzą nowe kolonie.
Ex Output:
النمل لا ينتجون المزيد من النمل على الإطلاق ، ول... | إذاً هذا يوصلني لأمنيتي لزملائي في تيد ، ولأي شخص آخر حول العالم يستمع لهذا الحديث.
| 1 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.2540692985057831,
0.498304545879364,
-0.6113309860229492,
-0.48526597023010254,
-0.4692341685295105,
-0.24667273461818695,
0.6012973785400391,
-0.2401500642299652,
0.30985450744628906,
-0.07461635768413544,
-0.2435418665409088,
-0.25384122133255005,
-1.150027871131897,
0.021501244977116... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Amanda thought about all of her failed symphonies. | 0 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.34535878896713257,
0.5868645906448364,
0.4309838116168976,
-0.5775595307350159,
-0.2977456748485565,
0.23380663990974426,
0.3569011986255646,
0.6408329010009766,
-0.4841475486755371,
-0.29177436232566833,
-0.6898523569107056,
-0.03865855932235718,
-0.6156008839607239,
-0.4660730957984924... |
You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions that require only a single... | What is perhaps the single largest obstacle impeding the department's successful development? | 4 | NIv2 | task048_multirc_question_generation | zs_opt | [
0.6335779428482056,
0.5877460241317749,
-0.238926962018013,
-0.07876016199588776,
0.7835283875465393,
-0.5463247299194336,
1.0680967569351196,
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-0.03210436925292015,
0.5552120804786682,
-0.47910526394844055,
0.4065202474594116,
-1.0050437450408936,
0.2249419391155243,
... |
Teacher: 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 ... | Text one | 2 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
0.040847692638635635,
-0.08293900638818741,
0.13127073645591736,
-0.14908719062805176,
0.3613063097000122,
-0.8152824640274048,
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-0.42308422923088074,
0.5369272828102112,
-0.026417288929224014,
-0.1076398715376854,
-0.5718755722045898,
-0.72393167018... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Spanish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally writte... | find all restaurants rated higher than 3 | 1 | NIv2 | task261_spl_translation_es_en | fs_opt | [
-0.251262366771698,
0.6536637544631958,
0.33264780044555664,
0.29341641068458557,
0.14095914363861084,
-0.31310802698135376,
0.49967139959335327,
0.906126081943512,
-0.3192598223686218,
-0.5448356866836548,
0.31644827127456665,
0.5647504329681396,
-0.06342039257287979,
-0.1046764999628067,... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
[EX Q]: Thank you for your insights
I'd love to learn about Fiji
Fiji is part of the Pacific Rim. They have many forests, mineral a... | The North Korean won is the national currency, circulated by the Central Bank of the Democratic People's Republic of Korea.
| 6 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.6304171085357666,
-0.5004667043685913,
-0.7414895296096802,
-0.6810175180435181,
-0.15947040915489197,
-0.7780880331993103,
0.8285033702850342,
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0.06406887620687485,
-0.0897604376077652,
-0.561479389667511,
0.3033865690231323,
-0.6268846988677979,
0.05003845691680908,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e y... | 4171 | 0 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.1924130916595459,
1.1133065223693848,
-0.4786507487297058,
-0.20243863761425018,
-0.13050617277622223,
-0.28972935676574707,
0.9128143191337585,
1.066115140914917,
0.4821345806121826,
-0.5965738296508789,
-0.29278236627578735,
-0.2389925718307495,
-0.2645731270313263,
0.9026572704315186,... |
Teacher:In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defi... | majority | 6 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.03539802506566048,
-0.4856167435646057,
-0.27647870779037476,
0.09801320731639862,
0.2585974633693695,
-0.39138007164001465,
0.7239067554473877,
0.7398992776870728,
0.2586037814617157,
-0.19324328005313873,
0.045356474816799164,
0.09747546911239624,
0.08144773542881012,
0.28844445943832... |
Teacher:In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Teacher: Now, understand the problem? Solve this instance: Rotorua acedmic Ngahihi o te ra Bidois拥有全脸的moko，他已经要求万圣节城移除纹身工具组。
Student: | Rotorua acedmic Ngahihi o te ra Bidois, who has a full facial moko, has asked the Halloween Town store to remove the tattoo kits. | 6 | NIv2 | task535_alt_translation_ch_en | zs_opt | [
-0.23752011358737946,
0.7290427684783936,
0.06858935952186584,
-0.8235589265823364,
-0.07748876512050629,
-1.01363205909729,
-0.24505198001861572,
0.8196744322776794,
0.6090325117111206,
-0.05627132207155228,
-0.11877378821372986,
-0.023389482870697975,
-0.329989492893219,
0.15253335237503... |
Teacher:In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); h... | positive | 6 | NIv2 | task527_parsinlu_food_overal_classification | zs_opt | [
-0.6873738765716553,
-0.0739617794752121,
0.2886093556880951,
-0.24413610994815826,
0.10854019224643707,
0.01749156042933464,
1.308098316192627,
0.4831177592277527,
0.4396626949310303,
0.0365445613861084,
-0.16607902944087982,
0.2358410358428955,
-0.7419577240943909,
0.07518843561410904,
... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
--------
Question: Sentence: 'a street with several vendor stalls and people walking around'. Remove all words of length '1' in the given ... | a stop sign at a road at a rural highway
| 7 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.08037839829921722,
0.23633870482444763,
-0.014905136078596115,
-0.6487360000610352,
0.4451403021812439,
-0.7240229249000549,
-0.2442805916070938,
0.6624640226364136,
-0.3676941394805908,
-0.09784424304962158,
-0.9546815156936646,
-0.41130268573760986,
-0.46980205178260803,
-0.08874225616... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Solution: Vishnu and Shiva | 5 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.5187355875968933,
0.4250065088272095,
-0.35146939754486084,
0.1800813376903534,
-0.11848039925098419,
-0.5470256209373474,
0.21873797476291656,
0.9886668920516968,
0.18781089782714844,
-0.26636385917663574,
-0.26763612031936646,
0.19662685692310333,
-0.9520866870880127,
-0.06173343583941... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Q: Oh, God. Fruitville Friends does it again.
A: | يا إلهي ، مدينة الفواكه تفعلها مره أخرى | 4 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-1.4767446517944336,
0.8898934125900269,
0.8419400453567505,
-0.7324895858764648,
-0.2159176915884018,
-0.08732813596725464,
0.92601078748703,
0.5552586913108826,
-0.45497769117355347,
0.45248210430145264,
-0.5453639626502991,
-0.9352735280990601,
-0.2602069675922394,
0.0848037451505661,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: 従業員はより大きな善に向かって互いに刺激を与え合います
A: | עובדים מעוררים השראה אחד על השני למען עשיית טוב. | 9 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.355277419090271,
0.1174892783164978,
-0.4290090799331665,
-0.26494109630584717,
-0.2458779215812683,
-0.1982470601797104,
0.10439601540565491,
-0.26114118099212646,
0.9137829542160034,
-0.39219900965690613,
-0.12941423058509827,
-0.0739612728357315,
-0.8034862279891968,
0.08953551948070... |
Given a sentence in Arabic, generate a new Arabic 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 bei... | يمكن للوالد أن يكون فخوراً بالطفل. | 9 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.43098029494285583,
0.29666852951049805,
-0.03845260664820671,
-0.4353799819946289,
-0.25965970754623413,
-0.43738722801208496,
1.0934314727783203,
0.7991504073143005,
-0.027291778475046158,
0.022918811067938805,
-0.4717949628829956,
-0.11551601439714432,
-0.6975388526916504,
-0.156259804... |
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 the... | customer: I am Brain Collins.
| 0 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.2066170573234558,
0.13662606477737427,
-0.9083923697471619,
-0.3116503953933716,
0.5681447982788086,
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1.0358643531799316,
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0.5684247016906738,
0.34563523530960083,
0.14779046177864075,
-0.41558343172073364,
0.49232858419418335,
... |
Teacher:Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Teacher: Now, understand the problem? Solve this instance: I purchased this as an ex... | Good Review | 6 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.3980591893196106,
0.12493465840816498,
0.004276962950825691,
-0.08853767067193985,
0.14376747608184814,
-0.9826648831367493,
0.4482906758785248,
0.8719648122787476,
0.12381485104560852,
0.3714543879032135,
0.1452423632144928,
-0.03247031569480896,
-0.5038958191871643,
-0.451281070709228... |
Given the task definition and input, reply with output. In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Delirium is an important morbidity following heart surgery. We sought to determine... | Along with older age, dopamine infusion--even in low doses but more probably in higher doses--emerged as an independent risk factor for delirium in patients undergoing CABG. Further study is needed to confirm the validity of results presented. | 5 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.6913093328475952,
0.15201550722122192,
-0.2789316773414612,
-0.7028869390487671,
0.19565005600452423,
0.006136074662208557,
0.46832090616226196,
0.814635157585144,
0.0851842612028122,
-0.014239088632166386,
-0.5186464786529541,
0.1234508529305458,
-0.2200452983379364,
0.04576955735683441... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtrac... | 130 | 0 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.05960439145565033,
0.3592778146266937,
0.08306318521499634,
0.062174029648303986,
0.022771352902054787,
0.0691315233707428,
0.7098054885864258,
0.6218976974487305,
0.6569359302520752,
0.13793547451496124,
0.03523305803537369,
-0.4572862982749939,
-0.2440589815378189,
0.1938006728887558,... |
Teacher: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Teacher: Now, understand the problem? If you are still confused, see the following example:... | no | 2 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.6203261017799377,
0.08802929520606995,
0.6218559741973877,
-0.6393111944198608,
-0.18801112473011017,
0.6404587030410767,
0.6896512508392334,
-0.11618323624134064,
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-0.45180994272232056,
0.18592602014541626,
-0.16426149010658264,
-0.2531965970993042,
0.0433339625597... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Example: Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public schools. P... | Solution: What were the children asked to do in the project? | 5 | NIv2 | task311_race_question_generation | fs_opt | [
0.47494834661483765,
0.156852126121521,
-0.4488638639450073,
-0.052420832216739655,
0.9613523483276367,
-0.5370106101036072,
0.6401586532592773,
0.3544442057609558,
0.3289233446121216,
-0.49694016575813293,
0.02071300894021988,
0.6212179064750671,
-1.3372081518173218,
0.5526097416877747,
... |
instruction:
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in th... | None
| 9 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.3694009780883789,
1.2395271062850952,
0.26940855383872986,
-0.6344137787818909,
-0.0165378637611866,
-0.22469457983970642,
0.811963677406311,
0.5364621877670288,
-0.2071875035762787,
-0.279923677444458,
0.13158658146858215,
0.48457062244415283,
-0.5006296634674072,
0.1011180579662323,
... |
Definition: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Capital Gains Reform Act of 1997 - Amends the Internal Revenue Code to revise rules con... | Capital Gains Reform Act of 1997 | 2 | NIv2 | task1659_title_generation | zs_opt | [
-0.6986207962036133,
0.902209997177124,
-0.1951974332332611,
0.053394220769405365,
-0.34192758798599243,
-0.5523933172225952,
0.5916837453842163,
0.9437568187713623,
-0.21113485097885132,
0.7088561058044434,
-0.3933504819869995,
0.01594848558306694,
-0.6179882287979126,
0.08018248528242111... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: era um pequeno negócio novo que comprámos.
Student: | 買収したときは小さなベンチャーにすぎず | 6 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.37726539373397827,
0.12486665695905685,
0.138363778591156,
-0.4527547359466553,
0.034192830324172974,
-0.0577043816447258,
0.36281320452690125,
0.6339608430862427,
0.5033649206161499,
-0.5476387143135071,
-0.2836329936981201,
-0.278545618057251,
-0.33734357357025146,
-0.1029230952262878... |
This task is about translating a given English language sentence to Spanish.
Q: That literally make reference to this land
A: Lo que literalmente hacer referencia a esta tierra
****
Q: I hope you can see it.
A: Espero que usted puede verlo.
****
Q: It's not sustainable, and it will not happen around one superpower.
... | No es sostenible. Y no ocurrirá alrededor de un superpoder.
****
| 4 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.7143361568450928,
1.8771148920059204,
0.5729613304138184,
-0.8318807482719421,
-0.40337398648262024,
-1.2820039987564087,
0.525117039680481,
1.411803960800171,
0.18144823610782623,
-0.6410268545150757,
-0.24888242781162262,
0.624823808670044,
-0.3530117869377136,
0.14136263728141785,
... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example input: Article: Homework can p... | Yes | 3 | NIv2 | task310_race_classification | fs_opt | [
0.24820177257061005,
-0.11125067621469498,
-0.024697676301002502,
-0.31969988346099854,
0.3487764894962311,
0.01073465682566166,
0.9847865700721741,
0.987817108631134,
-0.25012892484664917,
-0.23002733290195465,
-0.07091715931892395,
0.4686116576194763,
0.23739203810691833,
0.4360140860080... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: Consider Input: The kombu as one meets it now in south India is a C-shaped trumpet made of brass or copper and is usually constructed of three pieces with... | Output: भारत में धर्म भाषा या संस्कृति किसी की भी चर्चा बिना कबीर की चर्चा के अधूरी ही रहेगी।
| 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.3995792269706726,
0.4795300364494324,
-0.5224584341049194,
-0.21955519914627075,
-0.153359055519104,
-0.5054051876068115,
-0.03173872083425522,
0.6075023412704468,
-0.7421095371246338,
0.16615423560142517,
-0.3314935564994812,
0.5533442497253418,
-0.06165153533220291,
-0.1108508482575416... |
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..
Example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example solution: What ... | Solution: What will Casey want to do next? | 5 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.6475533246994019,
0.8004741668701172,
0.022908831015229225,
0.20478370785713196,
-0.06782212853431702,
-0.7999073266983032,
0.3233855366706848,
0.197465717792511,
0.42243415117263794,
-0.19230741262435913,
-0.6375272274017334,
0.256990522146225,
-0.3370128870010376,
-0.06099355220794678,... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Solution: Person | 5 | NIv2 | task1289_trec_classification | fs_opt | [
-0.04694691300392151,
-0.2790675163269043,
0.06445197761058807,
0.3100186586380005,
-0.08435630053281784,
-1.0451271533966064,
0.47366103529930115,
-0.3801642954349518,
0.054797448217868805,
-0.285891056060791,
-0.9992809891700745,
0.01995924860239029,
-0.5360240936279297,
-0.0714067965745... |
Given the task definition and input, reply with output. 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.
Category: "HOT" AIR
Clue: A line in R... | while the iron is hot | 5 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.6323384642601013,
1.0005090236663818,
0.11088775098323822,
-0.23875126242637634,
-0.2714952826499939,
-0.32859236001968384,
1.161949872970581,
0.16455332934856415,
0.11395718902349472,
-0.0864405483007431,
-0.46124976873397827,
-0.6339274644851685,
-0.3844500184059143,
0.052666209638118... |
In this task, you will be shown an incorrect English sentence. You need to generate a corrected form of the input sentence.
But about my self im gonna have it to becouse my brother alwys talks about it and i agree with that broad knowledge . | As for myself , I 'm going to have it too because my brother always talks about it and I agree with that broad knowledge . | 0 | NIv2 | task1557_jfleg_answer_generation | zs_opt | [
0.054936483502388,
1.5324058532714844,
0.22042380273342133,
0.5858060717582703,
-0.38591426610946655,
-0.9929651021957397,
0.16583707928657532,
-0.20454198122024536,
0.7240490913391113,
-0.32232457399368286,
0.1495172083377838,
0.2002216875553131,
-0.9741857051849365,
0.05891771614551544,
... |
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.
See one example below:
Problem: Comment: Presid... | Sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.346550464630127,
0.28141263127326965,
0.33633124828338623,
-0.07593809068202972,
0.0420241616666317,
0.010432537645101547,
0.1695021688938141,
0.83219975233078,
-0.2564319968223572,
0.6221994757652283,
0.5419586300849915,
0.27972662448883057,
-0.15967360138893127,
-0.7635638117790222,
... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Problem:In these days of googling, it's sloppy to not find the source of a quotation.
Solution: | În aceste zile de „googling” este lipsă de atenție să nu găsești sursa unui citat. | 8 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
-0.8014369010925293,
0.8345941305160522,
0.7057956457138062,
-1.0881059169769287,
0.06000697612762451,
-0.9484906792640686,
1.0024175643920898,
0.6882646083831787,
0.8590472936630249,
-0.2592148184776306,
-0.011327753774821758,
0.37185439467430115,
-0.7863346934318542,
-0.34479832649230957... |
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 | [
-0.41562479734420776,
0.2849312126636505,
0.3999955952167511,
0.29933279752731323,
-0.264301061630249,
-0.9204626679420471,
0.7627223134040833,
0.9736400842666626,
-0.018183430656790733,
0.7893392443656921,
0.08601149171590805,
-0.09595553576946259,
-0.5221711993217468,
-0.7076983451843262... |
instruction:
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
question:
... | effect
| 9 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-1.2042956352233887,
0.4884963631629944,
-0.41683146357536316,
0.134233757853508,
-0.5744556784629822,
-0.652014970779419,
0.2650282382965088,
-0.25046616792678833,
-0.09622875601053238,
-0.3120550513267517,
-0.2421921342611313,
0.6483231782913208,
-0.5834711790084839,
0.23472203314304352,... |
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 choice as ... | Solution: b | 5 | NIv2 | task231_iirc_link_classification | fs_opt | [
-0.023841971531510353,
0.37441593408584595,
-0.11418741941452026,
-0.03950592130422592,
0.32753854990005493,
-0.27968350052833557,
1.5228602886199951,
1.2837833166122437,
-0.001892543863505125,
0.13396963477134705,
-0.5873512029647827,
0.025582540780305862,
0.010568924248218536,
0.07098507... |
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 multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
به غلط تصور کرده بود که با .............. خطاها میتواند از عوا... | C | 1 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.394806444644928,
0.265352338552475,
0.14850804209709167,
0.34720730781555176,
-0.6765375733375549,
0.02440616860985756,
1.3491640090942383,
1.0959607362747192,
0.4654405117034912,
0.21940623223781586,
-0.49973443150520325,
-0.3752903938293457,
0.12080448865890503,
-0.3641849756240845,
... |
In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
公诉机关指控：（一）××被告人夏4某担任揭阳市东山区磐东镇阳美村党支部书记、经联社主任、法定代表人期间，于2007年9月7日，以阳某村经联社法定代表人的名义，与广东创鸿集团有限公司签订《合作开发“中国玉都文化广场”建设项目合同书》。在该项目的洽谈、签订及开发过程中，夏4某支持配合、积极协作，为了表示感谢，黄某1分别于2009年春节前的一天，通过其助理蓝某送给夏4某... | 夏4某 | 0 | NIv2 | task1666_cail2018_answer_generation | zs_opt | [
0.20053112506866455,
0.7714906930923462,
-0.6963256597518921,
0.40105313062667847,
0.17604798078536987,
-0.49312925338745117,
0.711084246635437,
1.1531985998153687,
-0.6612675189971924,
-0.15247975289821625,
0.10982611775398254,
1.2188440561294556,
-0.6615583896636963,
0.10704673826694489,... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Q: when did blackburn rovers win the pr... | Randy Newman
****
| 4 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.049344249069690704,
0.1872493326663971,
-0.6899781227111816,
0.09197507798671722,
-1.0506842136383057,
-0.1600845754146576,
1.1288875341415405,
0.5074872970581055,
0.07527786493301392,
-0.3252004384994507,
-0.4581910967826843,
0.5852978229522705,
-0.4270057678222656,
-0.1341331303119659... |
Definition: 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 you... | a | 2 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.7787484526634216,
0.4155760705471039,
-0.4680938720703125,
0.024746689945459366,
0.27290600538253784,
0.2587648034095764,
-0.06674468517303467,
0.07074223458766937,
0.03533835709095001,
0.5253608226776123,
-0.8021693229675293,
0.8737236261367798,
-0.524822473526001,
0.3928549289703369,
... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | PersonX was fatter than PersonY so _ started to reduce the amount of calories they were eating. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.6344964504241943,
0.5006691217422485,
0.23953469097614288,
-0.042944587767124176,
0.046487051993608475,
-0.43330496549606323,
0.5369260311126709,
0.8391556739807129,
-0.15531325340270996,
-0.9982463717460632,
-0.1824093461036682,
-0.6614222526550293,
-0.33815664052963257,
-0.082273647189... |
Detailed Instructions: In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Problem:So I hope to see you ... | English | 8 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | zs_opt | [
0.19122561812400818,
0.5326440334320068,
0.4502737522125244,
-0.035183053463697433,
0.29513242840766907,
-0.9258197546005249,
-0.2491028606891632,
0.06809824705123901,
0.15503902733325958,
-0.03646872192621231,
0.32366710901260376,
0.4172056019306183,
-0.045970361679792404,
-0.121425226330... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
引き返すにあたり、強風と遭遇した後に、飛行機はカブールに着陸した。
ໃນຂະນະທີ່ຍົນກຳລັງບິນກັບ ຍົນໄດ້ລົງຈອດທີ່ເມືອງກາບູນຫຼັງຈາກທີ່ມັນປະສົບກັບລັມແຮງ.
水をかき回す激しい嵐やハリケーンのような力が影響を持つ。
ເງື່ອນໄຂ... | ແຜ່ນດິນໄຫວເກິດຂື້ນໃນເວລາ 06:55:51 ໂມງເຊົ້າ ຂອງເວລາທ້ອງຖິ່ນ ໃນວັນທີ 5 ກໍລະກົດ.
| 0 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.05146915838122368,
0.540313720703125,
-0.2976583242416382,
-0.5066738128662109,
-0.010363810695707798,
-0.07971136271953583,
1.1165187358856201,
0.45067155361175537,
-0.3378462791442871,
-0.45984476804733276,
-0.5998057723045349,
0.5753961801528931,
-0.9455626010894775,
0.75803595781326... |
Teacher:In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the on... | a | 6 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.38729971647262573,
0.24452263116836548,
0.25842827558517456,
-0.19252213835716248,
0.15263012051582336,
-0.2654332220554352,
0.5663041472434998,
0.8017383813858032,
0.22253470122814178,
0.29334557056427,
-0.220895916223526,
-0.24608346819877625,
0.278461754322052,
0.06632240116596222,
... |
Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Input: Lincolnshire Wildlife Park is to house an education centre and a number of purpose-built pods, each designed to house about 12 turtles. The sanctuary hopes eventually to house up to ... | A wildlife park in Lincolnshire is to be the site of a new national turtle sanctuary to rescue abandoned animals. | 3 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
-0.5832600593566895,
0.5540514588356018,
-0.4368942379951477,
0.04604751616716385,
-0.07899138331413269,
-1.3368339538574219,
-0.348965048789978,
-0.00915971677750349,
-0.5730974674224854,
0.23064793646335602,
0.24089398980140686,
1.070026159286499,
-1.2297358512878418,
0.44591814279556274... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not... | Both of Allison's parents were killed in two separate instances of what kind of accident? | 8 | NIv2 | task193_duorc_question_generation | zs_opt | [
1.3053534030914307,
0.5068216323852539,
-0.3349209427833557,
0.3435829281806946,
0.19180123507976532,
-0.2728525400161743,
0.4954470694065094,
0.6807602643966675,
-0.1775951236486435,
0.3759520649909973,
0.1803581714630127,
0.11552214622497559,
-0.6867233514785767,
0.36911988258361816,
-... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | What wasn't the French population in North America? | 8 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.5829307436943054,
0.3805033564567566,
-0.9051144123077393,
-0.4109242260456085,
-0.04486776143312454,
-0.5877233743667603,
1.147759199142456,
0.7284062504768372,
-0.13667333126068115,
0.19735682010650635,
-0.3919106125831604,
0.18507486581802368,
-1.1359347105026245,
0.44835400581359863,... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | No
| 7 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-1.199122667312622,
-0.33644843101501465,
0.7370898127555847,
0.2106274962425232,
-0.2971482276916504,
-0.4206814467906952,
0.7706440687179565,
0.31847190856933594,
0.15193790197372437,
-0.12468939274549484,
0.04443131014704704,
-0.6570673584938049,
-0.7646659016609192,
-0.4704340994358063... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If th... | [367, 563] | 1 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.43073415756225586,
0.4401822090148926,
-0.6260347366333008,
-0.09922747313976288,
0.3128064274787903,
0.09794982522726059,
0.9650946259498596,
0.3734457790851593,
0.39171135425567627,
0.30142855644226074,
-0.9431807994842529,
-0.5208736062049866,
0.1023683100938797,
-0.7016814947128296,... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of nouns/verbs in the given sentence.
Example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Output: 3
The words 'toy', 'tray', and 'man' are nouns in... | 0 | 1 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.11306896805763245,
1.1422274112701416,
-0.23253056406974792,
-0.4267810583114624,
0.14922849833965302,
-0.0449904203414917,
0.06758858263492584,
1.1552494764328003,
-0.3699544072151184,
0.11577248573303223,
-0.03582346439361572,
-0.06316398084163666,
-0.14086712896823883,
0.151688307523... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | ADJ
| 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.7047351598739624,
0.25350090861320496,
-0.17263081669807434,
0.3823104202747345,
-0.0522419810295105,
-0.9307683706283569,
0.5077903866767883,
0.6448439359664917,
-0.2925051152706146,
0.07082995772361755,
-0.6239530444145203,
0.17140668630599976,
-0.8423037528991699,
0.4081570506095886,
... |
Teacher:In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotyp... | Unrelated | 6 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.0845077782869339,
0.1929865926504135,
-0.13469219207763672,
-0.3678814172744751,
-0.22054851055145264,
-0.29355794191360474,
0.4238203167915344,
0.772682785987854,
-0.08623963594436646,
-0.02011965587735176,
-0.17853647470474243,
0.05707499384880066,
-0.4904083013534546,
-0.384060531854... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences ... | 13 | 6 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6468061804771423,
0.17452457547187805,
0.08553715795278549,
-0.6737102270126343,
-0.08516508340835571,
-0.43251293897628784,
0.38684481382369995,
0.7861149311065674,
0.17665624618530273,
-0.2148982584476471,
-0.5792893767356873,
-0.687478244304657,
-1.150454044342041,
-0.173160210251808... |
Given the task definition and input, reply with output. In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web ... | Fact1: Iraq was led by Saddam Hussein. Fact2: Iraq is a Basin Country for Persian Gulf. Fact3: Kuwait, and a small part of Iraq, and Iran are located at the head of the Persian Gulf. | 5 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.47766557335853577,
0.3233208656311035,
-0.10842378437519073,
-0.3666814863681793,
-0.09099726378917694,
-0.6318759918212891,
0.5715292096138,
0.49760472774505615,
0.16192877292633057,
0.6444797515869141,
-0.258798211812973,
0.1475832164287567,
-0.4865926206111908,
-0.5503587126731873,
... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return metallic objects
#2 return matte objects
#3 return number of #1
#4 return number of #2
#5 return which Is highest of #3 , #4 | 4 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.961672306060791,
-0.1635604053735733,
-0.7969130277633667,
0.6387474536895752,
0.08201959729194641,
-0.41895079612731934,
1.2196178436279297,
0.130840003490448,
-0.22948645055294037,
0.6282228827476501,
-0.5956764817237854,
0.05103560537099838,
0.0005608056671917439,
0.43290048837661743,... |
Instructions: You are given a statement written in Marathi. 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: Statement: इ.स. १९९९ साली नॉर्वेतील ट्रॉन्डहाईम शहरात <MASK> विद्यापीठात आणि इ.स. २००० मधे पो... | नॉर्वे | 3 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.10186316817998886,
0.7752741575241089,
-0.06608381122350693,
-0.44552141427993774,
0.10132285207509995,
-0.15348070859909058,
0.27229034900665283,
-0.6084593534469604,
0.14423131942749023,
-0.08873823285102844,
-0.07317383587360382,
0.5208189487457275,
-0.8559466004371643,
-0.0301483925... |
Q: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that de... | eq { count { filter_eq { all_rows ; country ; united states } } ; 5 } | 7 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.41367486119270325,
-0.05249769985675812,
-0.24899201095104218,
0.32388290762901306,
0.16882091760635376,
-0.3908159136772156,
0.537371039390564,
0.43895214796066284,
0.11214505136013031,
-0.12184260785579681,
-0.2781689763069153,
0.10195453464984894,
-0.3293893337249756,
0.53061664104461... |
You will be given a definition of a task first, then some input of the task.
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical co... | military branch | 1 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.35889971256256104,
-0.04580189660191536,
0.034658871591091156,
-0.1487511396408081,
0.318522572517395,
0.004383941181004047,
-0.11092349886894226,
0.40082886815071106,
0.4037811756134033,
0.22809064388275146,
-0.24161463975906372,
0.15498588979244232,
-0.7613439559936523,
-0.240993022918... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 9 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
-0.05059262365102768,
0.30301040410995483,
0.34465181827545166,
-0.22183534502983093,
-0.569038987159729,
-0.5470949411392212,
1.108460545539856,
0.1030033528804779,
-0.631054162979126,
-0.4511558711528778,
-0.43330201506614685,
-0.17789503931999207,
-0.6070696115493774,
0.3098925650119781... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
PROBLEM: And an average user, said Cameron Marlow, from Facebook, has about 120 friends.
SOLUTION: 平均的なユーザーにはキャメロンマーロウ氏によりますと約120人の友人がいます
PROBLEM: Learn from this man.
SOLUTION: この人に倣って
PROBLEM: In fac... | 実際のところ測量が進み調査が進めば進むほど学生時代大嫌いだった数学がとても役立つことを実感しました学生時代大嫌いだった数学がとても役立つことを実感しました
| 8 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.04755958914756775,
-0.46051037311553955,
-0.4459978938102722,
-1.3512260913848877,
0.2219090759754181,
-0.31142669916152954,
1.0506854057312012,
-0.5814445614814758,
0.38528597354888916,
-0.24708443880081177,
0.5083038806915283,
0.25012728571891785,
-0.8008636832237244,
-0.00283165741711... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | Output: None
| 2 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.9260717630386353,
-0.20500585436820984,
-0.514419674873352,
0.14456170797348022,
-0.04099505394697189,
-0.45677927136421204,
0.00791193637996912,
0.4176977574825287,
-0.13604575395584106,
0.03531228005886078,
-0.6418805122375488,
0.9189924001693726,
-0.10719823092222214,
0.28354558348655... |
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).
Context: Music is an art form and cultural activity whose medium is sound and silence, which exis... | changwon
| 0 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.6794390082359314,
0.8457401394844055,
-0.737841010093689,
0.19262129068374634,
0.5269770622253418,
0.07546186447143555,
0.3837765157222748,
0.7687076330184937,
-0.37658122181892395,
0.08238844573497772,
-0.26264384388923645,
0.3769858479499817,
-0.5446855425834656,
-0.09272181987762451,
... |
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. You have to... | No | 4 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
-0.024107271805405617,
0.5209593176841736,
0.3576594293117523,
-0.30117595195770264,
-0.5323456525802612,
-0.7389824986457825,
1.2021664381027222,
0.37501418590545654,
-0.3199636936187744,
-0.30676501989364624,
-0.3462698459625244,
-0.1537003219127655,
-0.38986772298812866,
0.2955351471900... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Solution: Jer sam htjela znati što se nalazi tamo vani. | 5 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.5082991123199463,
0.5567619204521179,
-0.2751607894897461,
0.6975123882293701,
-0.12053778022527695,
-0.9787949323654175,
0.6023073196411133,
0.03586569428443909,
-0.24728640913963318,
-0.3010416030883789,
-0.3326610326766968,
0.553331196308136,
-0.21997594833374023,
0.05803451687097549... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
民主党のアメリカ合衆国下院議員ジェームス・マクガヴァンとマサチューセッツ州のジョン・オルバー、テキサスのシーラ・ジャクソン・リー、バージニアのジム・モーランも他の人たちと共に逮捕されたが、スーダン大使館前で逮捕され、50ドルの罰金を支払った後に釈放された。
Anggota ... | Di Tawangmangu sekitar 1.000 penolong juga mencari mayat-mayat dan para korban selamat tanpa bantuan alat-alat berat.
| 0 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.21849051117897034,
-0.3000781536102295,
-0.6476470828056335,
-0.08532010018825531,
-0.12237705290317535,
-0.1828857809305191,
0.5072144269943237,
-0.050738606601953506,
0.0782383531332016,
0.15885613858699799,
0.006296373903751373,
0.579906702041626,
-0.5429998636245728,
0.0554271638393... |
Teacher:In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversi... | Inversion | 6 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.47513335943222046,
0.5125548243522644,
0.7026301026344299,
-0.04846613481640816,
0.19752836227416992,
-0.9452632665634155,
0.2903430461883545,
0.7130173444747925,
-0.10717394948005676,
-0.2518928647041321,
-0.6093500852584839,
-0.5068970322608948,
-1.1741933822631836,
-0.505716860294342... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [229, 6, 86, -4, -130, -86, -15, -46, 27]
| 7 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.0035109580494463444,
-0.12852774560451508,
-0.9031038880348206,
-0.15061378479003906,
0.10138007998466492,
-0.16050750017166138,
1.0260337591171265,
0.47276732325553894,
-0.6923409700393677,
-0.24620696902275085,
-0.9553713202476501,
0.3584124445915222,
-0.8593266010284424,
0.11103451997... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Q: Powiedziałbym, że głównie interesuje mnie Powiedziałbym, że głównie interesuje mnie komputer jako sposób osobistej ekspresji.
A: | 中でも私が特に興味を持っているのは、コンピューターをパーソナルな表現方法として活用できるようにすることです。 | 4 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
0.36689379811286926,
0.33987313508987427,
-0.19329313933849335,
0.6096487045288086,
-0.4996623694896698,
-1.0484235286712646,
0.511741578578949,
0.26670122146606445,
0.7286821007728577,
-0.6354607343673706,
0.336662620306015,
0.14680776000022888,
-0.7626388072967529,
0.613956093788147,
-... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
[Q]: 彼は形而上学文学、神学と古典科学の学者でした。
[A]: Fue académico en literatura metafísica, teología y ciencia clásica.
[Q]: 彼の両親は、彼自身著名なアーティストであるDon Luis Toranzosと、アルゼン... | Tanto en el escenario como en la versión cinematográfica de Hedwig y la Angry Inch, el personaje de Hedwig se muda a Alemania Oriental después de abandonar Junction City.
| 5 | NIv2 | task816_pawsx_japanese_spanish_translation | fs_opt | [
-0.3433457314968109,
0.2907157242298126,
0.6097815036773682,
-0.9366475939750671,
0.04256083071231842,
-0.8096835613250732,
-0.23990151286125183,
-0.27975836396217346,
-0.21967633068561554,
-0.4917188286781311,
-0.08835569024085999,
-0.4559420049190521,
-0.867073655128479,
-0.2819538712501... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
שלישית, דיונים ברשת מתדרדרים במהירות לכדי אספסוף זועם.
| Tercero: las discusiones en línea pasan a ser turbas enfurecidas rápidamente. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.1267170906066895,
0.5891245603561401,
0.40731188654899597,
-0.4832965135574341,
-0.40706583857536316,
0.47978663444519043,
0.6296279430389404,
0.13157549500465393,
1.0830937623977661,
-0.3355278968811035,
-0.3331209123134613,
0.8261994123458862,
-0.6343480348587036,
-0.21178080141544342... |
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').
One example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the right answer fro... | b | 6 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.385459840297699,
0.5157396793365479,
-0.7310020923614502,
-0.11675356328487396,
-0.3823728859424591,
-0.2544826865196228,
0.34584125876426697,
1.1995302438735962,
-0.02488648146390915,
0.06989786028862,
0.21394118666648865,
0.040843792259693146,
-1.2691371440887451,
0.2990850806236267,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: china 's bank of communications said friday ... | yes | 1 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.8567937016487122,
0.47992193698883057,
0.18448808789253235,
0.2951285243034363,
0.10571188479661942,
0.6513391733169556,
-0.026281967759132385,
0.5999921560287476,
-0.08063697069883347,
-0.16003553569316864,
-0.052854023873806,
0.1362614631652832,
-0.3347974419593811,
0.5088768601417542... |
Teacher:In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? Solve this instance: Question: 什么样的地方有旋转门，里面有东西可以买？... | A | 6 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
-0.016648368909955025,
-0.3566846251487732,
-0.14411920309066772,
-0.19178326427936554,
-0.10042709112167358,
0.0557662695646286,
-0.08778323233127594,
0.2546398937702179,
0.2546796202659607,
0.4566856920719147,
0.2731381058692932,
0.4335651695728302,
0.1614621877670288,
-0.231798529624938... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
A ... | Neither
| 0 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.6354286670684814,
0.10450223088264465,
0.46659234166145325,
0.7282909154891968,
-0.02606729045510292,
-1.1064159870147705,
-0.37077951431274414,
0.97900390625,
0.28541356325149536,
0.18400315940380096,
-0.4941968619823456,
-0.29170793294906616,
-0.6548768281936646,
-0.6023244261741638,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX stopped smoking for the sake of PersonY, because _ wanted them to stop worrying.
Sentence 2: PersonX stopped smoking for the sake of PersonY, because _ wanted them to stop coughing. | 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.3051082193851471,
0.24548907577991486,
0.006645093206316233,
-0.1655822992324829,
0.578559398651123,
-0.4169119894504547,
0.9323963522911072,
0.746628999710083,
-0.03983856365084648,
-0.3761640787124634,
-0.4084680378437042,
-0.15844547748565674,
-0.654339075088501,
0.23168502748012543,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Una de las cosas más inteligentes que hizo Conor, desde el principio, fue crear la ilusión de que yo era la componente dominante de la pareja.
... | Uma das coisas mais inteligentes que o Conor fez, desde o início, foi criar a ilusão de que eu era o parceiro dominante na relação. | 1 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.35154831409454346,
1.149167537689209,
-0.20535483956336975,
-0.40116655826568604,
-0.24646364152431488,
-0.01487963180989027,
0.1126352846622467,
1.241659164428711,
0.4741623103618622,
-0.4271479547023773,
-0.4444097876548767,
0.0695241168141365,
-1.0326073169708252,
-0.2273701131343841... |
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