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 |
|---|---|---|---|---|---|---|
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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... | Yes
| 5 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
1.29465913772583,
0.041011787950992584,
0.13151590526103973,
0.03361489996314049,
-0.3885684609413147,
-0.9836313724517822,
1.3517777919769287,
0.9828125834465027,
-0.9154684543609619,
-0.3213651180267334,
-0.610114336013794,
-0.4442136883735657,
-0.4885413646697998,
0.32110536098480225,
... |
Teacher:In this task, you need to provide the correct option for a given problem from the provided options.
Teacher: Now, understand the problem? Solve this instance: Problem: if 65 percent of a class answered the first question on a certain test correctly , 50 percent answered the second question on the test correctly... | c | 6 | NIv2 | task1421_mathqa_other | zs_opt | [
0.19496464729309082,
0.02051364630460739,
0.29133421182632446,
0.08070291578769684,
-0.26885986328125,
-0.5468317270278931,
0.40503400564193726,
0.9523792266845703,
0.2303602546453476,
-0.049171607941389084,
-0.09833886474370956,
-0.1680486649274826,
-0.2936371862888336,
-0.741424798965454... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Example: He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Pep... | Solution: Clapp | 5 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.0373707115650177,
0.5552721619606018,
0.4884748160839081,
0.18221725523471832,
-0.15648740530014038,
0.2803586423397064,
0.8705958127975464,
1.2371189594268799,
0.1028333306312561,
-0.12772972881793976,
-0.317956805229187,
0.38352304697036743,
-0.3794941306114197,
-0.318438857793808,
... |
Definition: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available... | No | 2 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
0.3141785264015198,
-0.2176351249217987,
-0.6419787406921387,
-0.04665256291627884,
-0.32234644889831543,
-1.3862969875335693,
0.6732344031333923,
0.6971498727798462,
-0.526597797870636,
-0.09587401151657104,
0.2796323001384735,
-0.28410252928733826,
-1.1177082061767578,
-0.202645659446716... |
Detailed Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Problem:Firearms are among the nation's _ leading causes of death.
Solution: | ten | 8 | NIv2 | task672_nummersense | zs_opt | [
0.06534124165773392,
0.5902794599533081,
-0.24352747201919556,
-1.444080114364624,
-0.23045292496681213,
0.1675519347190857,
1.2386713027954102,
0.7344439029693604,
-0.2694738209247589,
0.2968408465385437,
-0.23450475931167603,
-0.19891025125980377,
-1.1549168825149536,
0.5003601312637329,... |
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 intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underh... | Yes | 9 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.5835535526275635,
0.32232072949409485,
0.7744593620300293,
0.3890475034713745,
0.11460527777671814,
-1.0138272047042847,
0.8345581889152527,
0.6173259019851685,
0.445264995098114,
0.34591537714004517,
0.19975687563419342,
-0.05459779500961304,
-0.524896502494812,
-0.1766476035118103,
... |
instruction:
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
question:
PersonX increases PersonX's power
... | ashamed of himself for acting so rudely
| 9 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.2112136334180832,
1.0600581169128418,
-0.05819910764694214,
-0.9695591926574707,
-0.5622073411941528,
-0.5660622119903564,
1.432213544845581,
0.7446869611740112,
0.4442332684993744,
-1.0668047666549683,
-0.24722151458263397,
0.15406706929206848,
-1.207496166229248,
0.3193066418170929,
... |
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... | Yes | 6 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.37007033824920654,
-0.06072650104761124,
0.5178807973861694,
0.20732037723064423,
-0.493282288312912,
-0.8276042938232422,
0.5791364908218384,
1.044775366783142,
-0.31610825657844543,
-0.24048005044460297,
-0.4439758360385895,
-0.5596070885658264,
-0.6995089650154114,
-0.3074049055576324... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Input: Consider Input: Sentence: 'a cow that is on the side of a hill'. Count the number of verbs in this sentence.
Output: 1
Input: Consider Input: Sentence: 'a person eating a hot dog next to other people'. Count the number of nouns ... | Output: 4
| 2 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.3811637759208679,
0.5378619432449341,
-0.358476459980011,
-0.1387253999710083,
-0.4410886764526367,
-0.24677281081676483,
0.5824849605560303,
1.0662559270858765,
-0.20439839363098145,
-0.7025354504585266,
-0.5110458731651306,
-0.21525366604328156,
-0.16762074828147888,
0.642137050628662... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Le persone possono andare in bicicletta senza auto. | 4 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.23353677988052368,
0.881906270980835,
-0.13055014610290527,
-0.08172876387834549,
-0.07214361429214478,
-0.7825009226799011,
0.6199631690979004,
1.3468661308288574,
-0.3655060827732086,
-0.7236717939376831,
-0.677979588508606,
0.07513359934091568,
-0.5039342641830444,
0.2274038195610046... |
Detailed Instructions: In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: du foutage de gueule!! . J'ai depuis quelques jours le nouveau Ma... | NEG | 9 | NIv2 | task484_cls_french_music_classification | zs_opt | [
0.21216478943824768,
0.2845776081085205,
0.0560900941491127,
-0.052263304591178894,
0.6672011613845825,
-0.48208826780319214,
0.501516580581665,
0.35050100088119507,
0.23144862055778503,
1.0588915348052979,
-0.6928600072860718,
-0.24655866622924805,
0.5138656497001648,
-0.5975958704948425,... |
Q: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and... | Her husband decided to use good manners. He went to an etiquette class Now he drinks tea with his pinky out like a gentleman but Wilma won't take him back | 7 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.21047332882881165,
0.644047737121582,
0.26896363496780396,
-0.19699063897132874,
0.16023236513137817,
-0.8503104448318481,
-0.08151008188724518,
0.6142963171005249,
0.5194998979568481,
-0.2942909002304077,
-0.525837779045105,
-0.3807213306427002,
-0.28963038325309753,
-0.2885498702526092... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | Solution: Completion C | 5 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
-0.2656172215938568,
0.31340736150741577,
0.15470075607299805,
-0.7519608736038208,
-0.10838018357753754,
0.40106362104415894,
0.37359702587127686,
0.7488085031509399,
-0.23982974886894226,
-0.012858022004365921,
-0.324963241815567,
-0.1451130509376526,
-0.0924910455942154,
-0.390677541494... |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Problem:Sentence: 'a desk witgmh a telephone, laptop, cell phone and a book on it'. Find frequency of the letter 'a'
Solution: | 5 | 8 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.3826708495616913,
0.3970203399658203,
-0.7964529991149902,
-1.1093342304229736,
-0.39839673042297363,
0.2668926417827606,
0.5255978107452393,
0.22846649587154388,
0.6258273124694824,
-0.43605220317840576,
-0.46770673990249634,
-0.0123529564589262,
-0.4209842085838318,
-0.127920895814895... |
Teacher:In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Teac... | [64, -44, -20] | 6 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.39399856328964233,
0.3861726224422455,
-0.3701440989971161,
-0.6535174250602722,
-0.10992109030485153,
0.04513643682003021,
1.1744189262390137,
0.9422193765640259,
0.22132746875286102,
0.17394359409809113,
-0.5272799134254456,
-0.4786006212234497,
-0.2549651265144348,
-0.366352915763855... |
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.
Ex Input:
Comment: A Trump/Bannon boot-licking sycophant, Tancredo we... | Non-sexual-explicit
| 1 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.1419306993484497,
-0.21145644783973694,
0.09023601561784744,
0.35005873441696167,
-0.26396113634109497,
-0.13328662514686584,
-0.14670071005821228,
0.8178860545158386,
0.47669947147369385,
0.6652582883834839,
0.1223931610584259,
0.031485073268413544,
-0.3442380428314209,
-0.725832164287... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Portanto ela mede aceleração, aceleração angular — tal como um ouvido humano, o ouvido interno.
Output: | que calcula a aceleración, a aceleración angular como se fora un oído humano, o oído interno. | 1 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.5396864414215088,
0.8927066922187805,
-0.03379314765334129,
-0.7949065566062927,
-0.3714831471443176,
0.2241988182067871,
0.22151142358779907,
-0.043898507952690125,
0.08028052747249603,
-0.26955604553222656,
-0.8368585109710693,
-0.689850389957428,
-0.18211670219898224,
0.0034816795960... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Q: @Jacqueline_69 haha! She did well today. I can't get beyond her pout annoying me I'm afraid.
A: | Angry | 9 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.1023750305175781,
0.3498412072658539,
0.5768743753433228,
-0.3050873279571533,
-0.033185042440891266,
-0.8085044622421265,
0.19833362102508545,
0.015208728611469269,
0.4572024345397949,
0.5248478055000305,
0.3571227192878723,
-0.39472368359565735,
-0.42806386947631836,
-0.03612030670046... |
instruction:
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so th... | [5, -14, 14, -9, -7]
| 9 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.5168546438217163,
-0.1608382910490036,
-0.8377841114997864,
-0.21205444633960724,
-0.003557282965630293,
-0.16897636651992798,
1.3053970336914062,
0.4701475501060486,
-0.028203370049595833,
-0.3644517958164215,
-0.6810939908027649,
-0.1073957085609436,
-0.5272660255432129,
-0.13482037186... |
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 true.
Ex Inpu... | Having children would make you want to make a better world.
| 1 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.17454715073108673,
0.46740859746932983,
-0.15854793787002563,
0.3622678518295288,
-0.22302445769309998,
-0.8299955129623413,
0.7333959341049194,
0.7051150798797607,
0.30270916223526,
0.23604387044906616,
-0.724677324295044,
0.19939959049224854,
-0.5284308791160583,
-0.029529396444559097... |
In this task, you are given a sentence in the Hindi 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).
Ex Input:
यूएस इंटेलिजेंस आइडेंटिटीज एक्ट सीआईए अधिकारियों की पहचान उजागर कर... | The Nelson Mandela Foundation released a statement which said that thirteen-year-old Zenani Mandela, who celebrated her birthday on June 9, died in a single vehicle accident and that no one else was injured.
| 1 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.05544132739305496,
0.2642298936843872,
0.7086251974105835,
-0.012539764866232872,
-0.5039494633674622,
-1.2765929698944092,
0.01075069047510624,
0.3492806553840637,
-0.07114291191101074,
0.33816516399383545,
-0.36558622121810913,
0.01714075356721878,
-0.4002124071121216,
-0.2609409689903... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Tom is at a baseball game >Causes/Enables> Tom watches baseball
| 5 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.05795532464981079,
0.24216440320014954,
-0.5294190049171448,
0.017184415832161903,
0.023190362378954887,
-0.6443519592285156,
0.5237723588943481,
1.0328736305236816,
0.1759972870349884,
0.1508883386850357,
-0.48198217153549194,
0.5528546571731567,
-0.2975538671016693,
-0.1387524008750915... |
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'... | ADP | 8 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.8112388849258423,
0.44294071197509766,
0.13290953636169434,
-0.06951622664928436,
0.13103358447551727,
-0.8211281299591064,
0.7469911575317383,
1.0028183460235596,
-0.765418291091919,
-0.3573203384876251,
-0.32006925344467163,
0.13195455074310303,
-0.6962896585464478,
0.42246541380882263... |
Teacher: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community tar... | Offensive | 2 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.8041555285453796,
0.4706522822380066,
0.24618780612945557,
0.13373947143554688,
-0.35379093885421753,
-1.1156833171844482,
-0.22316187620162964,
0.3989989161491394,
0.19465698301792145,
0.3035273551940918,
-0.280719131231308,
-0.048201024532318115,
-0.4078700542449951,
-0.89100551605224... |
TASK DEFINITION: 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 bei... | You are likely to find a document in a dispute .
| 8 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.41451263427734375,
0.5240015983581543,
-0.17242160439491272,
0.1613333821296692,
-0.12395446747541428,
0.033303070813417435,
1.1073315143585205,
0.3419021964073181,
0.0866253674030304,
-0.7498669028282166,
-0.644960880279541,
0.16524676978588104,
-0.6199625730514526,
0.4481540024280548,
... |
Detailed Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentenc... | No | 8 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.08118746429681778,
0.7610642910003662,
0.1700408160686493,
-0.030843550339341164,
-0.06555867940187454,
-0.6300771832466125,
0.14351320266723633,
0.3868676424026489,
-0.23054586350917816,
-0.231664776802063,
-1.0380651950836182,
-0.4734395146369934,
-0.4636369049549103,
0.18864953517913... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
[EX Q]: 二人は吸い上げ理論を信じませんでした
[EX A]: הם לא "" קנו "" את זה.
[EX Q]: 自転車基盤のイノベーションはこんなにあります噴霧器自転車や道の衝撃でエネルギーを蓄える自転車
[EX A]: ותראו את כל המגוון הזה של המצאות מבוססות אופניים: אופניים שהם מרסס, אופניים שמחוללים אנרגיה מהזעזוע... | אם קרה למי מכם להיות מוקף בקבוצת אנשים שנראים בדיוק כמוכם, זה מקרי לגמרי.
| 6 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.30680644512176514,
-0.2338641732931137,
-0.6456459760665894,
0.6483078002929688,
-0.47497203946113586,
-0.6040093898773193,
1.0559866428375244,
0.09435755759477615,
0.657058596611023,
-1.100451111793518,
-1.0756465196609497,
0.6336024403572083,
-0.45165759325027466,
0.15268392860889435,... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener
| 3 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.012396678328514099,
0.3693527579307556,
-0.03213360905647278,
0.5571193695068359,
0.14889097213745117,
-0.9994462728500366,
0.5206412672996521,
1.3594468832015991,
-0.006718096788972616,
-0.24549895524978638,
-1.3643126487731934,
-0.17147867381572723,
-0.5540305972099304,
-0.41743239760... |
Given the task definition and input, reply with output. 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.
The price is what makes this an out... | Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-1.2379873991012573,
0.37667620182037354,
0.3139427900314331,
0.20909185707569122,
0.22381579875946045,
-0.29171258211135864,
0.4941287636756897,
0.6383800506591797,
0.21578872203826904,
0.3755602240562439,
-0.40596407651901245,
0.20392939448356628,
-0.34491467475891113,
-0.046457611024379... |
Detailed Instructions: 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: Interjec... | Conj Pron Pron V Conj V V Punc | 8 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.42064446210861206,
1.1367744207382202,
0.10476072132587433,
-0.7160431146621704,
-0.6532745957374573,
0.1441417932510376,
0.8231551647186279,
-0.08964020013809204,
0.21379177272319794,
-0.3719733655452728,
-0.0626823902130127,
0.325130820274353,
-0.9094964265823364,
0.07425659149885178,... |
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 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... | The revaluation is expected to prepare Romania for adoption of the euro in 2012. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.4863393008708954,
0.39168745279312134,
0.4950859546661377,
0.12224265187978745,
-0.05836721882224083,
0.6601459980010986,
0.8495626449584961,
0.5385725498199463,
0.6996229290962219,
-0.5326061248779297,
0.4729071855545044,
0.493577241897583,
-0.6716113090515137,
-0.4194899797439575,
-... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You are expected to recognize the name of any form of chemical substances. Although there might be several correct answers, you need to write one of them.
High-mannose-type glycan modifications of dihydrofolate reductase us... | dihydrofolate | 5 | NIv2 | task1483_chemical_extraction_chemprot_dataset | zs_opt | [
-0.9660454988479614,
0.9883420467376709,
-0.08170253038406372,
-0.5913844108581543,
-0.38507604598999023,
-0.7383025884628296,
0.35398975014686584,
0.4384298622608185,
0.12447710335254669,
-0.1236874908208847,
-1.2546343803405762,
-0.512984037399292,
-0.08313224464654922,
0.158878982067108... |
instruction:
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 and talks about equality, diversity or inclusion
question:
Good v... | Not in Expected Language
| 9 | NIv2 | task681_hope_edi_malayalam_text_classification | fs_opt | [
-0.6106510162353516,
0.2724194824695587,
0.31327515840530396,
-0.07364383339881897,
-0.6243842244148254,
-0.3698677718639374,
0.2733577489852905,
0.983777642250061,
-0.49442797899246216,
-0.05056191235780716,
-0.5269898176193237,
-0.10071124881505966,
-0.435297429561615,
0.0558213554322719... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
ఇలా 130 కోట్ల మంది ప్రజానీకం మా... | আমাদের কৃষকরা আমার এই অনুরোধ রাখবেন, এতা আমার দৃঢ় বিশ্বাস। | 0 | NIv2 | task1032_pib_translation_telugu_bengali | fs_opt | [
-0.355951726436615,
0.4612196087837219,
0.0799901932477951,
-0.02284654788672924,
0.33595359325408936,
-0.6657607555389404,
0.3665493130683899,
0.23467113077640533,
-0.11790256947278976,
-0.03272339329123497,
-0.40934130549430847,
-0.20809948444366455,
-0.32011890411376953,
0.3898653984069... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Q: Colin regarded him carefully and when he spoke his voice was dangerous.... | Present
****
| 4 | NIv2 | task429_senteval_tense | fs_opt | [
0.10933531820774078,
0.8528602123260498,
0.7478930354118347,
-0.2777397036552429,
0.257637619972229,
-0.19082918763160706,
0.6318942308425903,
0.8614310026168823,
-0.02868802659213543,
0.10105445235967636,
-0.3146746754646301,
-0.23573142290115356,
-0.8183627128601074,
-0.287513792514801,
... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | Output: ¿Quién aboga por ejecutar el plan de aparcamientos?
| 2 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.8403629660606384,
0.527974009513855,
0.10995839536190033,
0.1636914759874344,
0.14009438455104828,
-0.23951756954193115,
0.2790617346763611,
1.167919635772705,
0.38734596967697144,
-0.06418974697589874,
-0.02731199376285076,
0.6615610122680664,
0.17929229140281677,
0.23050625622272491,
... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: وفي الواقع ، ليست هذه هي المرة الأولى التي يحدث فيها هذا الأمر ، لأن التاريخ يعلمنا أن إمكانية الوصول تشعل الابتكار.
Output: | そういったことは何もこれが初めてではありませんアクセシビリティがイノベーションを刺激することを歴史は示しています | 2 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.2635349631309509,
0.2961690425872803,
-0.213457852602005,
0.026026509702205658,
-0.33221909403800964,
-0.17926260828971863,
0.6055949330329895,
0.4451861083507538,
0.7162259221076965,
-0.5530140995979309,
-0.7033894062042236,
-0.083897165954113,
-0.0824166089296341,
0.3015303611755371,
... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.6818971633911133,
0.37368109822273254,
0.3510303497314453,
0.30802375078201294,
-0.36382895708084106,
-1.036557674407959,
0.5119858980178833,
0.6166149377822876,
-0.5256383419036865,
-0.1476357877254486,
-0.7289451956748962,
-0.36837443709373474,
-0.6644115447998047,
-0.1829134225845337,... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Q: Akbar appointed one Governor for each state to governing ... | English
****
| 4 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.3002278208732605,
0.3825443387031555,
0.2913960814476013,
-0.13610167801380157,
-0.4171760082244873,
-0.5110350847244263,
0.33123254776000977,
0.09043662250041962,
-0.0016825580969452858,
-0.5955028533935547,
-0.49884510040283203,
0.5076552629470825,
-0.6006225943565369,
-0.101034149527... |
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 there are no primes in the input list an empty list ("[]") should be returned.
... | [829, 19, 313, 151] | 9 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.3371843099594116,
0.4557265043258667,
-0.3178890645503998,
-0.30499985814094543,
-0.10338666290044785,
-0.13952940702438354,
0.9247415065765381,
0.6047283411026001,
-0.19871290028095245,
0.4089035987854004,
-0.9694954752922058,
-0.751899778842926,
-0.40747499465942383,
-0.33392599225044... |
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: The solicitation document used in negotiatedRequest for procuremen... | no | 0 | NIv2 | task199_mnli_classification | zs_opt | [
-1.2647209167480469,
0.47781646251678467,
0.8313666582107544,
-0.08755406737327576,
0.06550589948892593,
-0.6106140613555908,
0.46446114778518677,
0.41994357109069824,
0.07915347814559937,
-0.1469338983297348,
-0.5830135345458984,
-0.5530789494514465,
-0.7642662525177002,
-0.04427015781402... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Solution: 地球が今よりも無垢だった時代を訪れたかのようでした
Why? The Arabic ... | おっともうあまり時間がない先を急ぐよ | 0 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.1317528337240219,
0.5399194955825806,
-0.04771551489830017,
-0.22828452289104462,
-0.732378363609314,
0.15389969944953918,
0.9223253726959229,
-0.17676544189453125,
-0.05071905627846718,
-0.2403089553117752,
-0.6221363544464111,
-0.17061030864715576,
-0.2909142076969147,
0.5181882381439... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Bulgarian, generate a new Bulgarian 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 h... | Ухото е приготвено за изслушване. | 1 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.09164660423994064,
0.7184503078460693,
0.5697594285011292,
-0.1674613058567047,
0.25111377239227295,
-0.7590808868408203,
1.0994222164154053,
0.07747896015644073,
1.0684566497802734,
-0.2641744315624237,
-1.159834861755371,
0.5187633633613586,
-0.49190276861190796,
0.32411178946495056,
... |
Given a scientific question, generate a correct answer to it.
Example input: Who proposed the theory of evolution by natural selection?
Example output: darwin
Example explanation: This is a direct fact that Charles Darwin proposed the theory of evolution.
Q: What generally sets the direction that technology takes?
A: | problems of society | 3 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.3487163782119751,
0.33377090096473694,
-0.35170885920524597,
0.028879286721348763,
-0.5065419673919678,
-0.5712807774543762,
-0.7736707925796509,
0.16292741894721985,
0.48579224944114685,
0.281922847032547,
-0.3901120126247406,
-0.07130546867847443,
-0.7915503978729248,
-0.5563405752182... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Podemos comprobalo a través dos restos fósiles.
Student: | ניתן לעקוב אחרי זה דרך תיעוד המאובנים. | 6 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.446509450674057,
0.09011848270893097,
0.3026502728462219,
-0.8610382080078125,
-0.4108681082725525,
-0.8493999242782593,
0.921836256980896,
0.40278536081314087,
-0.12220147997140884,
-0.502253532409668,
0.031811460852622986,
0.1596323847770691,
-0.8065816164016724,
-0.04880593717098236,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
--------
Question: Y espero que el deseo de Jill Tarter de involucrar a los terrestres incluya a los delfines, ballenas y otras criaturas del mar en esta cruzada de encontrar vida inteligente en otros lados del universo.
... | E tes que adiviñar a miña mente. Así que estás baixo unha presión tremenda porque non che dou instruccións, e a pesar diso, tes que adiviñar a miña mente.
| 7 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-1.831498384475708,
0.26285237073898315,
-0.27631428837776184,
-0.7341892719268799,
-0.05154703930020332,
-0.47694554924964905,
0.3723687529563904,
-0.8806597590446472,
-0.3273243308067322,
-0.07501997798681259,
0.4846494197845459,
-0.5101107954978943,
-0.8263658285140991,
0.49205750226974... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Problem:一つ目は認知力訓練
Solution: | The first C is cognitive training. | 8 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.925743818283081,
0.6357936859130859,
0.18408499658107758,
-1.0507802963256836,
-0.3111118972301483,
-0.48212066292762756,
0.4513722062110901,
-0.2916153371334076,
0.7679831981658936,
-1.541764497756958,
-1.2165894508361816,
-0.9670528173446655,
-0.9243418574333191,
0.21198859810829163,
... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: సూడాని ఫ్రమ్ నైజీరియా
Output: | सुदानी फ्रॉम नाईजीरिया | 3 | NIv2 | task1046_pib_translation_telugu_hindi | zs_opt | [
-0.1575789898633957,
0.5979338884353638,
-0.14596059918403625,
0.28141236305236816,
-0.054592810571193695,
-0.9240757822990417,
0.18387794494628906,
0.13482561707496643,
-0.3653442859649658,
0.07144490629434586,
-0.2926476299762726,
0.19130536913871765,
-0.709735631942749,
0.08405612409114... |
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... | Solution: No | 5 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.4199146032333374,
-0.07028943300247192,
-0.5592012405395508,
0.35623612999916077,
0.28343474864959717,
-0.8060591220855713,
1.1263494491577148,
0.7414483428001404,
-0.08830185234546661,
-0.11552280187606812,
0.6226806640625,
0.6298965215682983,
-0.6104912757873535,
0.7933768630027771,
... |
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... | Yes | 4 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.41390979290008545,
0.6055994033813477,
0.1675664484500885,
0.0454908162355423,
-0.5794821977615356,
-0.9723629951477051,
0.9806268215179443,
0.3812183141708374,
-0.47600236535072327,
-0.37957072257995605,
-0.8809108734130859,
-0.03020665794610977,
-0.31209757924079895,
0.1454231441020965... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Q: Sentence1: f... | Turtles
****
| 4 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.2879297435283661,
0.7875971794128418,
-0.017850276082754135,
-0.12706565856933594,
0.10853669047355652,
-1.1313645839691162,
0.5892463326454163,
0.38777995109558105,
-0.32243090867996216,
-0.5566562414169312,
-0.3783513903617859,
-0.15277907252311707,
-1.556564450263977,
0.30020761489868... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [25, 621, 999, 195, 0, 0, -517, 135] | 3 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
-0.12448827177286148,
0.3022506833076477,
-0.6797298789024353,
-0.4817652702331543,
-0.006027642637491226,
0.06296917051076889,
0.8344660997390747,
0.1547461748123169,
-0.46788933873176575,
0.10623125731945038,
-0.9082817435264587,
-0.035546835511922836,
-0.22799265384674072,
-0.4199561476... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
One example is below.
Q: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
A: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پر... | فقط در یه دوره نقره ای تاریخ زمین ، در میلیون سال اخیر ، اونهم فقط هزار سال اخیر فقط در یه دوره نقره ای تاریخ زمین ، در میلیون سال اخیر ، اونهم فقط هزار سال اخیر پوشش گیاهی بسیار سریع تر از قبل تغییر کرد. | 9 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.5236842632293701,
1.3183250427246094,
0.4164142608642578,
-0.0017331200651824474,
-0.8339080810546875,
-0.28862255811691284,
1.5047638416290283,
0.03130371868610382,
-0.01812399923801422,
-0.3663784861564636,
-1.0405123233795166,
1.1103602647781372,
-0.8113181591033936,
0.64812529087066... |
Given the task definition and input, reply with output. You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the... | Yes | 5 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.5476679801940918,
0.9111262559890747,
0.11448802053928375,
0.46366220712661743,
-0.5073424577713013,
-0.28037503361701965,
0.2843930125236511,
0.343364953994751,
0.6602869033813477,
0.007798339705914259,
-0.14680224657058716,
0.5310407876968384,
-0.32239240407943726,
0.17053058743476868... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Example: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles d... | What makes a strong female character is a character who has weaknesses, who has flaws, who is maybe not immediately likable, but eventually relatable. | 1 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5877077579498291,
0.7931340932846069,
0.16705764830112457,
-0.3580785393714905,
0.14012989401817322,
0.5174437761306763,
0.14331285655498505,
1.402544379234314,
0.033186428248882294,
-0.17979523539543152,
-0.45646148920059204,
0.0854654610157013,
-0.5040638446807861,
-0.5875126123428345... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the number obtained by interchanging the digits of a two - digit number is less than the... | b | 1 | NIv2 | task1420_mathqa_general | zs_opt | [
0.2033340185880661,
-0.185053288936615,
-0.6013155579566956,
-0.7184562683105469,
-0.20262061059474945,
0.45601293444633484,
0.542493462562561,
0.5619989037513733,
-0.398322194814682,
-0.061270274221897125,
-0.5478307008743286,
0.07010574638843536,
-0.24841709434986115,
-0.3507238626480102... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
See one example below:
Problem: Person1: Are ... | 0 | 4 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.3608039617538452,
-0.4607415795326233,
-0.0883638858795166,
0.3199356496334076,
0.3352040648460388,
-0.16875728964805603,
0.47950440645217896,
0.39190423488616943,
-0.16402415931224823,
-0.09141578525304794,
-0.24376216530799866,
-0.7446478605270386,
-0.015234780497848988,
-0.12700997292... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | Output: [285, 46, 136, 219]
| 2 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.7810153365135193,
0.21982118487358093,
-0.24839042127132416,
-0.06206682324409485,
0.25311771035194397,
-0.04972046613693237,
0.9554412961006165,
0.2543737292289734,
-0.1951887607574463,
0.31447267532348633,
-0.7914283275604248,
0.33322766423225403,
-0.4652915596961975,
-0.2643207609653... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE things | 9 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.015422464348375797,
0.1767500936985016,
-0.546673595905304,
0.504625678062439,
-0.15929026901721954,
-0.29219433665275574,
1.2408862113952637,
0.9311138391494751,
-0.30440837144851685,
0.19165515899658203,
-0.546076774597168,
0.09070037305355072,
-0.6246177554130554,
0.01097446121275425... |
instruction:
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
question:
Without fragility, without complacency, without ambiguity, but in the service of the who... | Esto es lo que expresa nuestra resolución: la esperanza de un acuerdo justo y equilibrado, basado en el respeto por las soberanías y el derecho a vivir en seguridad en el interior de unas fronteras seguras y reconocidas.
| 9 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.22892947494983673,
1.167722463607788,
-0.2725168466567993,
-0.41131091117858887,
0.4118945300579071,
-0.751010537147522,
0.7510761022567749,
0.7002788782119751,
-0.6135381460189819,
0.15716788172721863,
0.17894984781742096,
0.0002723848447203636,
-0.38269588351249695,
0.2581311166286468... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Example: Così diventa un igloo.
Example solution: این یک خانه ی اسکیمو می شود.
Example explanation: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: Ed è diventato ormai una... | Solution: و این به چنان عرفی بدل شده که ما به بچه هامون آموزش میدیم که این کارو بکنن. | 5 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.6112156510353088,
0.4572877883911133,
-0.10910093784332275,
-0.3912104368209839,
0.21589623391628265,
-0.8879914879798889,
0.6958205699920654,
0.15087199211120605,
-0.009166103787720203,
-0.6111044883728027,
-0.5458941459655762,
1.1239347457885742,
-0.8399295806884766,
0.243333876132965... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Teacher: Now, understand the problem? Solve this instance: זה גם מידע הסטורי וגם מידע בזמן אמת.
Student: | That's both historical as well as real data. | 6 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.4491621255874634,
0.32491883635520935,
0.4595124125480652,
-0.29995179176330566,
-0.8060394525527954,
-0.909522294998169,
0.45409703254699707,
0.4874981641769409,
1.0554718971252441,
-0.6260407567024231,
-0.06372231990098953,
-0.13631807267665863,
-0.6869546175003052,
-0.308387041091918... |
Detailed Instructions: In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cin... | Letters | 9 | NIv2 | task1588_tecla_classification | zs_opt | [
0.3322664797306061,
-0.1489606499671936,
-0.5150778293609619,
-0.5794106721878052,
0.4556165635585785,
-0.9337778091430664,
0.826069712638855,
0.6479871273040771,
-0.26506614685058594,
0.29708826541900635,
0.5435091853141785,
0.9048405885696411,
-0.30053454637527466,
-0.404433935880661,
... |
Q: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the ans... | Is purchasing food for a Lolcat unnecessary? | 7 | NIv2 | task167_strategyqa_question_generation | zs_opt | [
-0.13890983164310455,
0.5814764499664307,
-0.015696197748184204,
0.4574449360370636,
-0.3272799253463745,
-0.1064094752073288,
0.45892253518104553,
0.07300826907157898,
0.2607119381427765,
-0.31851494312286377,
-0.1581021100282669,
1.0055551528930664,
-0.7299814224243164,
-0.06176285445690... |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
--------
Question: Renewable energy sources emit fewer or no greenhouse gases.
Answer: What type energy sources emit fewer or no greenhouse gases?
Question: The action of flushing the toilet, performed m... | High explosives create shock waves that exceed the speed of sound, a phenomenon that goes by what term?
| 7 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.06705117970705032,
1.3099639415740967,
-0.23903882503509521,
0.010477816686034203,
-0.2862871289253235,
-1.603248119354248,
-0.30117616057395935,
0.9160873889923096,
-0.404956191778183,
-0.3947063684463501,
0.080262191593647,
0.1814868450164795,
-0.7439768314361572,
-0.8987869620323181,
... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['R', 'Q', '9'], ['R', 'Q', '3'], ['R', '9', '3'], ['Q', '9', '3']]
| 0 | NIv2 | task208_combinations_of_list | fs_opt | [
-0.3014485239982605,
0.5321712493896484,
-0.5205695629119873,
0.032420575618743896,
0.4172924757003784,
-0.15409919619560242,
0.3386349081993103,
0.7735000252723694,
0.24244475364685059,
-0.22140392661094666,
-0.7823011875152588,
-0.13397054374217987,
-0.38978466391563416,
-0.0492236614227... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | a | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
1.1992065906524658,
0.5123777985572815,
-0.34781959652900696,
0.02513628825545311,
-0.34067219495773315,
-0.5697221755981445,
1.3110097646713257,
0.12946206331253052,
0.02470286190509796,
0.36458608508110046,
-0.8107174038887024,
0.16123619675636292,
-0.38859695196151733,
-0.35844492912292... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: Japanese: 日本では、アスベストは火災遅延材、吸音材、絶縁材として使われた。
Thai: ตั้งแต่นั้น มีโรงเรียนจำนวนหนึ่งที่ถูกเผาในหลายแห่ง... | Yes
| 5 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.10405771434307098,
-0.2901660203933716,
0.17404773831367493,
0.16648629307746887,
0.5458963513374329,
-1.3105099201202393,
0.7920764684677124,
0.8406623601913452,
-0.4500316381454468,
0.13664594292640686,
-0.1208021491765976,
0.48900920152664185,
-0.38444676995277405,
-0.001007254933938... |
Given the task definition and input, reply with output. 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) a... | majority | 5 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.01674806885421276,
-0.31992384791374207,
-0.14029642939567566,
0.33635690808296204,
0.4724842309951782,
-0.4001084566116333,
0.6256008148193359,
0.49286088347435,
0.4716351330280304,
-0.07919720560312271,
-0.16459910571575165,
0.19118385016918182,
-0.020321577787399292,
0.58507513999938... |
Detailed Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence.
Problem:It involves thousands of unique coded microdots being embedded into the animal's fleece.
Designers claim it makes it easy to identify an animal as stolen and trace the farm it came from.
Agricultu... | A system which might cut the number of sheep being stolen from farms is being tested in North Yorkshire. | 8 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.5175056457519531,
0.32242441177368164,
-0.908524215221405,
0.3321326971054077,
0.3480320870876312,
-0.16918782889842987,
-0.5321111083030701,
0.5908775329589844,
-0.5370738506317139,
0.5844559073448181,
-0.7403072118759155,
0.2508736252784729,
-0.5984028577804565,
0.4271140694618225,
... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Example Input: Sent... | No
| 3 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.6690894365310669,
0.7589669227600098,
0.14978106319904327,
0.09833476692438126,
-0.10121797770261765,
-0.3230332136154175,
0.3032579720020294,
0.916553258895874,
-0.07551093399524689,
-0.17514336109161377,
-0.47238993644714355,
-0.0021386262960731983,
0.013762010261416435,
-0.2751206755... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Example input: JkbloNUq, nYblowj
Example output: b, j, k, l, n, o, q, u
Example explanation: Here, 'JkbloNUq' is the longer stri... | c, d, e, f, g, i, k, n, o, s, u, x, z | 3 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.18690061569213867,
1.4235641956329346,
-0.8230760097503662,
-0.6955294609069824,
-0.19687725603580475,
-0.3311443030834198,
1.0621886253356934,
-0.6720163822174072,
-0.32249191403388977,
0.4591314494609833,
-0.03668401017785072,
-0.09518958628177643,
-0.21699786186218262,
0.233469203114... |
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.
One example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution is here: पहले द... | उदाहरणतया उन्हें ज्ञात था कि लार्ड रिपन से,जो उत्कृष्ट वाइसराय रहे और जिन्होंने भारतीयों को प्रशासन में अधिक भागीदारी दिलाने की प्रक्रिया में सहायता की , ब्रिटेन की टोरी पार्टी ( रूढिवादी दल ) दिल से नफरत करती थी । | 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.37700462341308594,
0.12261075526475906,
0.8610950708389282,
0.37159013748168945,
-0.009287232533097267,
0.019001998007297516,
-0.311420738697052,
0.407944917678833,
-0.048583582043647766,
-0.4549022912979126,
-0.7471883296966553,
-0.4420638084411621,
-0.13581082224845886,
0.2605756521224... |
You will be given a definition of a task first, then some input of the task.
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: You promised Parliament you would raise th... | No | 1 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.5265018939971924,
0.4441864490509033,
0.8168439865112305,
0.31161290407180786,
0.020075690001249313,
-0.9720505475997925,
1.1093544960021973,
0.6018815040588379,
-0.5411819219589233,
0.01894913986325264,
0.22512128949165344,
0.2987665832042694,
-0.6577698588371277,
0.09363360702991486,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: Sooner or later, something is going to pop.
Output: | Mee elu mee ma ọ bụ mgbe e mesịrị, ihe a na-aga gbapụta. | 1 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.5100422501564026,
0.737140417098999,
0.05374833196401596,
0.024742547422647476,
0.1400032341480255,
-0.6991657018661499,
0.3129318356513977,
0.0034484579227864742,
-0.5728718042373657,
0.11463075876235962,
0.16560450196266174,
0.05622052401304245,
-0.7720834016799927,
-0.1550387293100357... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: 26Ako naman ay tatawa sa kaarawan ng inyong kasakunaan: ako'y manunuya pagka ang inyong takot ay dumarating;
Tagalog
Text: Meer informatie: Bestanden delen tussen pl... | French
| 0 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.1053365021944046,
0.48141640424728394,
0.4695315361022949,
-0.2821829617023468,
-0.21122746169567108,
-0.24838675558567047,
0.3611810505390167,
0.40389490127563477,
0.7975374460220337,
0.06670865416526794,
0.06644225120544434,
0.2467520534992218,
-0.6914220452308655,
-0.336313933134079,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
One example is below.
Q: אחרי הכל, הם החליטו, והם עשו,
A: Afinal de contas elas é que decidem, e decidiram mesmo.
Rationale: The Hebrew sentence is correctly translated into Portugese, because the meaning is preserved.
Q: ב... | As CMUs também incluem prisioneiros não muçulmanos. | 9 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
0.5035955905914307,
0.9788467884063721,
0.07579163461923599,
0.16637186706066132,
-0.4187678396701813,
-0.8702195882797241,
-0.0950821191072464,
0.38448619842529297,
0.7503112554550171,
-0.14439630508422852,
-0.22871403396129608,
0.4571819305419922,
-0.5436232089996338,
-0.1632600277662277... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
dBzTnsdPgTzou, vrtzTnsdPwTJs
Output: | zTnsdP | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.07263229787349701,
1.4328231811523438,
-0.050940338522195816,
-0.0015630447305738926,
-0.6503000855445862,
0.3805094361305237,
0.885067880153656,
-1.3619611263275146,
-0.035376518964767456,
-0.20116882026195526,
-0.9291405081748962,
-1.1382203102111816,
0.2765357792377472,
-0.01280448213... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Because it's a masterpiece . | 6 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.3047826886177063,
1.0766451358795166,
-0.39487403631210327,
0.6679586172103882,
-0.13594327867031097,
0.0776631161570549,
0.4633791744709015,
0.10699097812175751,
-0.2684192657470703,
-0.3413238227367401,
-0.6322199106216431,
0.4538232982158661,
-0.7970472574234009,
0.16119956970214844,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You 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 Perso... | PersonX asked PersonY for help with tying the necktie, because _ struggled to make the Windsor knot. | 0 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
1.3052093982696533,
0.26279371976852417,
-0.21618248522281647,
0.6133246421813965,
0.16477209329605103,
-0.36463797092437744,
1.1071441173553467,
0.9575483202934265,
-0.3696345090866089,
-0.322188138961792,
-0.05971040204167366,
-0.09344854950904846,
-0.4190632700920105,
0.4285305440425873... |
instruction:
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 f... | I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
| 9 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.06481502205133438,
0.8591059446334839,
-0.5599666833877563,
0.23764218389987946,
-0.18532422184944153,
-0.099184051156044,
0.13854464888572693,
-0.022259492427110672,
-0.19790340960025787,
-0.16848531365394592,
-0.7138804197311401,
-0.13828489184379578,
-0.39222580194473267,
-0.122995123... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Output: 第一にキリバス共和国が彼ら自身の利益になると理解したから... | 我々は大変楽しみにしている １０のプロジェクトに資金を出し １０のプロジェクトのスピードを上げ、市場への参入を見守ることができるのをそれは、この数年以内のことになるはずだ | 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.5882444381713867,
0.45020440220832825,
0.01572413556277752,
0.1426197737455368,
0.17854741215705872,
-0.16374637186527252,
0.37213486433029175,
0.1991967111825943,
0.1036796122789383,
-0.0525905042886734,
-0.5001029968261719,
-0.09118831902742386,
-0.2267502397298813,
0.13537156581878662... |
Detailed Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Q: Many people are on a beach wi... | English | 9 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
0.10852675139904022,
0.5512195229530334,
0.12554869055747986,
-1.0248887538909912,
0.0757988691329956,
-1.5599720478057861,
0.08944173157215118,
0.159568190574646,
0.5291256904602051,
-0.9611031413078308,
-0.2461986243724823,
0.008560539223253727,
-0.2672136425971985,
-0.21865692734718323,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
--------
Question: 120 lat temu Dr Röntgen prześwietlił rękę swojej żony.
Answer: Dunque, 120 anni fa il dottor Rontgen passò ai raggi X la mano di sua moglie.
Question: Podnieście je, a ja zrobię zdjęcie
Answer: Alzate q... | Io non dubito che ciò abbia un certo ruolo, ma oggi vorrei convincervi del fatto che c'è qualcosa d'altro che avviene. Voglio convincervi
| 7 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.388188362121582,
0.6297416090965271,
-0.6422926783561707,
0.2594311833381653,
-0.47396063804626465,
-0.20920445024967194,
0.8367534279823303,
0.5750645399093628,
0.29741865396499634,
-0.9249168038368225,
-0.8547935485839844,
1.0051788091659546,
-0.40103206038475037,
0.1586010456085205,
... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
--------
Question: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Safe and Secure Federal Websites Act
of 2015''.
SEC. 2. ENSURING FUNCTIONALITY AND SECURITY OF NEW FEDERAL ... | Prioritizing the Most Vulnerable Over Lottery Winners Act of 2017 This bill specifies how a state must treat qualified lottery winnings and lump sum income for purposes of determining an individual's income-based eligibility for a state Medicaid program. Specifically, a state shall include such winnings or income ... | 7 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.27631211280822754,
-0.30106303095817566,
-0.335801899433136,
0.3251882493495941,
0.7203176021575928,
-0.5416955947875977,
0.9957815408706665,
0.8206610679626465,
-0.6057565212249756,
0.4624534249305725,
0.3382098078727722,
0.37719443440437317,
-0.6073999404907227,
-0.1733584702014923,
... |
Part 1. Definition
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the... | 3, 5, 7 | 7 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.07471990585327148,
0.3203432559967041,
-0.22257958352565765,
-0.6033409833908081,
0.2882072925567627,
-0.25521430373191833,
1.1542408466339111,
0.01462826132774353,
-0.1395656019449234,
0.0189109705388546,
-0.8176490068435669,
-0.39605656266212463,
0.2344159185886383,
-0.3919867873191833... |
Detailed Instructions: Given a document, 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].
Problem:Verify if the sentiment of the following document towards the entity Levi Sand... | no | 8 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.4329689145088196,
0.35488665103912354,
-0.26551124453544617,
0.37187618017196655,
-0.13157989084720612,
-0.2669644355773926,
0.7791312336921692,
1.0683794021606445,
0.3344643712043762,
-0.007695556618273258,
0.22043949365615845,
0.9054481983184814,
0.1407955288887024,
0.3389133810997009... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
what kind of film is Best Seller?
Solut... | 2005 | 2 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.5764417052268982,
-0.46465709805488586,
-0.323974609375,
0.6562995910644531,
0.03221026062965393,
-0.06371352076530457,
-0.17295756936073303,
0.5246343016624451,
-0.3360210061073303,
0.26623469591140747,
0.25479352474212646,
-0.03600171208381653,
-0.7593117952346802,
-0.4200996160507202... |
Teacher:In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: و یهودا همراه برادر خود شمعون رفت، و کنعانیانی را که در صفت ساکن بودند، شکست دادند، و آن را خراب کرده، اسم شهر راحرما نامیدند.
Student: | And afterward the children of Judah went down to fight against the Canaanites, that dwelt in the mountain, and in the south, and in the valley. | 6 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.37331464886665344,
1.5031712055206299,
-0.10057958960533142,
-0.8403557538986206,
-0.6343652009963989,
-0.48509275913238525,
0.41315680742263794,
0.24818430840969086,
0.9902003407478333,
-0.39443910121917725,
-0.2505744397640228,
0.7497255802154541,
-1.4534333944320679,
-0.5537288188934... |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | [1, -20, 12, 0, 11, 7, -25, 4, 4, -3] | 4 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.24978910386562347,
0.20964115858078003,
-0.5088645219802856,
-0.35845261812210083,
0.24163410067558289,
-0.4653970003128052,
1.1751521825790405,
0.4726988971233368,
0.0382770374417305,
-0.13267773389816284,
-0.4609406590461731,
-0.08370018005371094,
-0.5018336176872253,
0.315811872482299... |
instruction:
In this task, you need to Translate Czech text to English.
question:
Název - zařízeni pro měření sypného úhlu. Obor - např. zemědělství. Měření sypného úhlu. Sypný úhel je měřen vyprázdňovánim násypky do misky s měrným kroužkem a hodnota úhlu je odečítána ze škály. Zemědělství, při zjištování fyzikáln... | Engagement it solves measurement n Sašový intervals with programically optional minimal and maximal value measurement for cases, in which popto # bath accuracy measurement requires use period mařice pulses which Yippee shorter than holiday minimal period pulses on counters inputs ... | 9 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.4074532389640808,
0.2019651085138321,
-0.5474748611450195,
0.08055879175662994,
0.4221189022064209,
-0.19515712559223175,
0.8266301155090332,
0.5836595296859741,
0.28253576159477234,
0.6495193243026733,
-0.4995760917663574,
0.6600074768066406,
-0.2658216953277588,
0.505739688873291,
0.... |
Q: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Jesse ... | A | 7 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.11383967846632004,
0.4330393970012665,
-0.2550382614135742,
0.723894476890564,
-0.2642472982406616,
-0.5240111947059631,
0.6861774921417236,
0.6259047985076904,
-0.5704761147499084,
0.40041691064834595,
-0.2826306223869324,
0.06887258589267731,
0.42801594734191895,
-0.6166093349456787,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 p... | Bad review | 0 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.3060702681541443,
0.12557601928710938,
-0.4199233949184418,
-0.11996310204267502,
0.15029191970825195,
-0.5156535506248474,
0.3698793053627014,
0.8431608080863953,
-0.4852600693702698,
0.2574303150177002,
-0.11994333565235138,
-0.02496594376862049,
-0.5710934996604919,
-0.38721036911010... |
TASK DEFINITION: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible,... | b
| 8 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.29257071018218994,
-0.014015506953001022,
-0.3656902015209198,
-0.20201408863067627,
0.7526469230651855,
-0.17034508287906647,
0.7675501704216003,
1.1357148885726929,
-0.17316323518753052,
0.2068459689617157,
-0.8946589827537537,
0.20054742693901062,
0.01138183195143938,
-0.0732679367065... |
Given the task definition and input, reply with output. In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I could never forget your face.<sep>Sentence-2: I did recognise me straight away .
| Yes | 5 | NIv2 | task566_circa_classification | zs_opt | [
-0.784099817276001,
0.9196146726608276,
0.8200032711029053,
-0.19960540533065796,
-0.3315398395061493,
-0.5397480130195618,
0.8142117261886597,
0.8614233136177063,
0.2821149230003357,
-0.30683422088623047,
-0.297649621963501,
-0.5024974346160889,
-0.3122212886810303,
-0.23063771426677704,
... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
['p', 4329, 'S', 'D', 9241, 759, 2991, 'F', 3189, 7335, 9261, 'B', 6559, 9299, 7551, 'w', '1413', '7507', 'P', 'd', '8315', 'e', 'b', 's', '7811', 'Q', 'S', 'B', '7459', 'm', 'X', '5533', 'f', 'F', '9347', 'Q', 'w', 'o... | 2357, 1879, q, 7661, 4337
| 0 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.19764910638332367,
0.1337248682975769,
-0.2750929296016693,
-0.4590630531311035,
-0.40488559007644653,
-0.09275928139686584,
0.6714832782745361,
0.7233924865722656,
-0.3570713996887207,
0.1353435218334198,
-0.8522971272468567,
0.23363912105560303,
-0.26312530040740967,
0.000807195086963... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Input: Como su nombre indica, la cadena de frío es el requisito de tener una vacuna desde su producción durante todo el proceso hasta que se aplica, refrigerada.
Output: | همانطور كه عنوانش پيشنهاد مى كند — زنجيره سرمايى — از مستلزمات نگهداشتن واكسن درست از توليد تا خود وقتى كه واكسنيناسيون انجام شود بايد در جاى خنك نگهدارى گردد. | 3 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
0.0073417434468865395,
0.1996157169342041,
-0.9360007047653198,
0.16228896379470825,
-0.48003703355789185,
-0.4869424104690552,
-0.1695288121700287,
1.1018439531326294,
-0.1758076548576355,
-0.3596575856208801,
-0.7245444655418396,
-0.014626839198172092,
-0.7467639446258545,
0.436499208211... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A child plays.
****
| 4 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.06664317846298218,
0.7721532583236694,
0.4894532561302185,
-0.7017994523048401,
0.19059744477272034,
-0.3610804080963135,
0.06938181817531586,
0.6478771567344666,
0.3861023187637329,
-0.4752883315086365,
-0.9933990240097046,
-0.7022485733032227,
-0.5383918881416321,
-0.1941230744123459,... |
In this task, you are given a sentence in the Hindi 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).
One example is below.
Q: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हु... | The discovery may help in understanding plaques associated with Alzheimer's disease. | 9 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.029203444719314575,
1.263258695602417,
-0.27575597167015076,
0.4729819595813751,
-0.39489561319351196,
-0.6950138807296753,
0.015164768323302269,
0.5194088220596313,
0.28193822503089905,
-0.4641745090484619,
-1.0749813318252563,
0.43423426151275635,
0.09932196885347366,
0.40050208568573,... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: Consider Input: English: But NATO' s decision for military intervention and the KLA' s support for the armed forces had a... | Output: Yes
| 2 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
-0.06601358205080032,
1.089367389678955,
0.1068204864859581,
0.027865728363394737,
0.1789601743221283,
-0.8423124551773071,
0.9418933987617493,
0.9188910126686096,
0.18413761258125305,
0.557166576385498,
0.16815538704395294,
0.474478542804718,
-0.7365444898605347,
-0.40979743003845215,
-... |
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