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 |
|---|---|---|---|---|---|---|
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Title: Marcus ... | She had to send it back. | 2 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.13063892722129822,
0.6214197874069214,
0.41727280616760254,
-0.2967180013656616,
0.3284217119216919,
0.2877969741821289,
0.22453199326992035,
0.47134214639663696,
0.0722653940320015,
0.43913644552230835,
-0.5959299802780151,
-0.140598326921463,
-0.5853781700134277,
-0.055477358400821686... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example input: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Example output: وقتی به این جامعه های در حال توسعه می روید زنها... | ولی اونا اساسا از من یک قول می گرفتند. | 3 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.4494085311889648,
1.2388378381729126,
-0.2681999206542969,
-0.5594416856765747,
-0.3287224769592285,
-0.7227822542190552,
1.071135401725769,
0.9116297364234924,
-0.39755183458328247,
0.008559966459870338,
-1.3332111835479736,
0.6341508626937866,
-0.6622501015663147,
0.058930404484272,
... |
Detailed Instructions: In this task, you need to count the number of nouns/verbs in the given sentence.
Problem:Sentence: 'A collaboration of people in different pictures doing things'. Count the number of verbs in this sentence.
Solution: | 1 | 8 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.12426389753818512,
1.0914777517318726,
-0.7047131657600403,
-0.22015437483787537,
-0.5065654516220093,
0.7269596457481384,
0.007560805417597294,
0.2999250590801239,
-0.06500363349914551,
-0.7836059331893921,
-0.6866827011108398,
-0.6878852844238281,
-0.2638092041015625,
0.53826570510864... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: அதேபோல, சமையல் எரிவாயு மானியத்தை விட்டுக் கொடுக்குமாறு என்னைப் போல சிறு மனிதன் வேண்டுகோள் விடுத்ததை ஏற்று, எரிவாயு மானியத்தை மக்கள் விட்டுக் கொடுத்தனர்.
A:... | అలాగే ఎంతో చిన్నవాడినైన నేను గ్యాస్ రాయితీ ని విడచిపెట్టండని పిలుపునివ్వగానే ప్రజలు ఆ పని ని చేశారు. | 4 | NIv2 | task1075_pib_translation_tamil_telugu | zs_opt | [
0.37683504819869995,
0.5674861073493958,
0.23758795857429504,
-0.5272929668426514,
-0.0029920078814029694,
-2.115312337875366,
0.05214351415634155,
0.29091742634773254,
-0.43354982137680054,
-0.23774933815002441,
0.4123450517654419,
-0.09327647089958191,
-0.8152732849121094,
-0.06399901211... |
Instructions: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Input: This is a Velcro secured pocket envelope for my new Kindle Touch and is very convenient - especially it's very light and attractive.
Output: | Timbuk2 Folder for Kindle Touch | 3 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
0.16331318020820618,
0.49200260639190674,
0.05436183512210846,
-0.7021534442901611,
0.04527333378791809,
-0.5893101692199707,
0.05532790720462799,
0.16753047704696655,
-0.42286354303359985,
0.5178899765014648,
0.2433897703886032,
0.12097229063510895,
-0.6526504158973694,
-0.048117425292730... |
Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a ... | The rates are : | 3 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.5875786542892456,
0.3873482346534729,
0.0234459787607193,
-0.035681381821632385,
-0.07538335770368576,
0.11604533344507217,
1.0719130039215088,
0.13875362277030945,
-0.06009574607014656,
-0.2184828221797943,
-0.551243245601654,
-0.21344761550426483,
-0.22854392230510712,
0.2598919272422... |
Given a scientific question, generate a correct answer to it.
What is the joint where the pelvic girdle and leg come together? | hip joint | 0 | NIv2 | task591_sciq_answer_generation | zs_opt | [
-0.112210214138031,
0.9835731387138367,
-0.905854344367981,
0.4079059362411499,
0.3860624432563782,
-0.27301275730133057,
-0.6543167233467102,
-0.4434114098548889,
0.002186242723837495,
-0.6665303707122803,
-0.06364969909191132,
0.9061315655708313,
-0.48658210039138794,
0.49627062678337097... |
Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Input: What state is the headquarter location of the most recent champion team ?
Output: | California | 3 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.12934646010398865,
0.3806914687156677,
-0.4959726929664612,
-0.26260435581207275,
-0.45154350996017456,
-0.31777670979499817,
0.39269983768463135,
-0.1615777611732483,
-0.231553852558136,
-0.40136680006980896,
-0.640239417552948,
0.2793505787849426,
-0.4815278947353363,
0.279574334621429... |
instruction:
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 orientati... | Non-identity-attack
| 9 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
0.17243307828903198,
0.3989745080471039,
0.16375307738780975,
0.5195634365081787,
-0.3917017877101898,
-0.35978764295578003,
0.7733445167541504,
0.6611878871917725,
0.4267303943634033,
0.920516848564148,
0.2570644021034241,
0.46242305636405945,
-0.9875674843788147,
-0.5587306022644043,
0... |
Detailed Instructions: 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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | JJ | 4 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.16194695234298706,
0.43469634652137756,
-0.02228592336177826,
0.18456324934959412,
-0.1755775660276413,
-0.886174201965332,
0.8007025718688965,
1.105913758277893,
-0.3837067782878876,
-0.12122920155525208,
-0.3502258062362671,
0.40103673934936523,
-0.599265992641449,
0.1541978418827057,
... |
In this task, you're given two articles in the Thai language and the possible genre they belong to in the English language. Determine if the two articles share a positive sentiment on the given genre. Indicate your answer with Y for yes if they do and N for no if they don't. Genres available include: politics,human_rig... | yes | 4 | NIv2 | task975_prachathai67k_same_genre_classification | zs_opt | [
0.031981319189071655,
-0.6916484832763672,
-0.10175728052854538,
0.12250868231058121,
0.4829888343811035,
-0.47401031851768494,
0.3925897479057312,
0.9513670206069946,
-0.14000698924064636,
0.761083722114563,
-0.1579040288925171,
0.6164125204086304,
-0.34942901134490967,
0.2173024713993072... |
Teacher:In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? Solve this instance: Question: The hemolymph and body cells exchange chemicals ... | The hemolymph and body cells exchange chemicals within the sinuses body part. | 6 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.06388349086046219,
0.8029952645301819,
0.013345599174499512,
-0.6157288551330566,
-0.14210359752178192,
-0.8944830298423767,
-0.257346510887146,
0.5613175630569458,
0.4451725482940674,
-0.365945965051651,
-0.2046787440776825,
0.03317209333181381,
-1.0446791648864746,
-0.05070861428976059... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
One example is below.
Q: Un bărbat pune brânză mărunțită pe o pizza.
A: A man is spreading shreded cheese on a pizza.
Rationale: In the given translation process, the tense of both ... | A boy cuts grass with scissors. | 9 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.15634483098983765,
0.8260765075683594,
0.4546436071395874,
-0.5141607522964478,
-0.02250334434211254,
-0.3878840208053589,
0.7222460508346558,
1.0394586324691772,
0.7447094917297363,
-0.10817786306142807,
-0.3469887375831604,
0.6199330687522888,
-0.28564023971557617,
-0.2738989889621734... |
Given the task definition and input, reply with output. 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: , also known as the , is a rubbe... | japan | 5 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.6012786626815796,
-0.3398449420928955,
-0.34566324949264526,
0.3980752229690552,
0.5011396408081055,
0.047481946647167206,
0.605826735496521,
0.8385956287384033,
0.022804904729127884,
-0.09520058333873749,
-0.9332693815231323,
0.2895306944847107,
-0.4762067198753357,
0.47260740399360657,... |
Definition: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Input: claim: Junk Food Should Be Banned.
perspect... | undermine | 2 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.5667063593864441,
0.6691083312034607,
0.6543617248535156,
-0.16237270832061768,
-0.2819952964782715,
-0.18714727461338043,
0.6126223206520081,
0.7973551750183105,
0.288938045501709,
0.18183855712413788,
-0.34959447383880615,
-0.2089538723230362,
-0.28882771730422974,
0.2338838279247284,... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: There is a blatant discrepancy here!
Output: | Det är ett krasst missförhållande! | 2 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.20543324947357178,
0.5058164596557617,
0.43147826194763184,
-0.751190185546875,
0.2192537933588028,
0.35861095786094666,
1.044058918952942,
0.9619678854942322,
0.5843827724456787,
0.13630612194538116,
-0.5129822492599487,
0.060862068086862564,
-0.6928056478500366,
0.14660155773162842,
... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | No | 0 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.8372317552566528,
0.5162843465805054,
0.7261953353881836,
0.09276004135608673,
-0.2957272529602051,
-0.4213351607322693,
0.313046395778656,
0.7623266577720642,
-0.3242073655128479,
-0.19147174060344696,
-0.4590887427330017,
-0.356955349445343,
-0.9241296052932739,
-0.29310745000839233,
... |
Teacher:You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Teacher: Now, understand the problem? Solve this i... | happy too | 6 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.5548089742660522,
0.3237003684043884,
0.21743464469909668,
-0.4413638710975647,
-0.22261807322502136,
-0.5416328310966492,
0.5712968707084656,
0.5851761698722839,
-0.08750874549150467,
-0.18028821051120758,
0.7308981418609619,
-0.5070098638534546,
-0.23474882543087006,
-0.512206554412841... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 5
| 5 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
-0.4016774594783783,
0.42356234788894653,
0.2978016138076782,
-0.27544406056404114,
0.3136257529258728,
0.1606096774339676,
0.007448974531143904,
0.9017131328582764,
0.2210906445980072,
-0.09362560510635376,
0.053559333086013794,
0.2063526213169098,
-0.156295508146286,
-0.4264567494392395,... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Siete in grado di mettervi in salvo o salvare la vostra specie?
A: | Can you save yourself or save your kind? | 7 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.4926012456417084,
1.0745441913604736,
0.33587872982025146,
-0.2411823272705078,
-0.6231133937835693,
-1.026035189628601,
-0.041644033044576645,
0.5391615629196167,
0.5692874193191528,
-0.5296769142150879,
-0.1736137866973877,
0.5780730843544006,
-0.6995700597763062,
0.04600493609905243,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: بالمناسبة ، أود أن أذكر أن كل شيء ترونه هنا ، اضاءة مصطنعة تطلبت جهدا كبيرا.
A: | Tak przy okazji to wszystko jest z sztucznie oświetlone. | 4 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.7752200365066528,
1.047476053237915,
-0.1725342720746994,
-0.7079317569732666,
-0.5691354870796204,
-0.4232015609741211,
0.9436222910881042,
0.03542397916316986,
0.6014112234115601,
-0.2800840139389038,
-0.15592002868652344,
0.12302079796791077,
-0.05227867513895035,
0.8857641220092773,... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Let me give you an example: In Janua... | Paraphrase | 8 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
0.316576212644577,
0.2846892476081848,
-0.22705014050006866,
-0.1722496896982193,
0.2131742537021637,
-0.46980491280555725,
0.0814373791217804,
0.12198066711425781,
0.05957373231649399,
0.6016429662704468,
-0.267509400844574,
0.6939701437950134,
-0.5954998731613159,
0.3736550211906433,
0... |
Q: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
crowd... | crowd Antonym empty | 7 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.1346425563097,
1.221311092376709,
0.5098265409469604,
-0.8501942753791809,
-0.17339442670345306,
-1.30266273021698,
0.8094450235366821,
0.00281330244615674,
0.09433979541063309,
-0.6292339563369751,
-0.5246124267578125,
0.24475818872451782,
-0.49383169412612915,
0.020468074828386307,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
[Q]: ['9859', 'R', '3713', 'A', 'j', '2595', 'I', '1497', 'b', '3009', 'p', '1877', 'F', '5071', 'Q', '4379', 't', '831', '3887', 'D', 'J', '4087', '3945', 'f', 'v... | 4979, 1575, 215, 8363, 863, 5381, 3901, 3383
| 5 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.36855512857437134,
0.4173825979232788,
-0.4247923493385315,
-0.399627685546875,
-0.633150041103363,
-0.07162199169397354,
0.4732843339443207,
0.07792928814888,
-0.6355699300765991,
0.735501766204834,
-0.8687095642089844,
-0.09644471108913422,
0.10570994764566422,
0.09021337330341339,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | The rock band is playing for a crowd. | 6 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.18429970741271973,
0.6658567786216736,
0.5794271230697632,
-0.9603769183158875,
0.12099578231573105,
-1.1074787378311157,
-0.3461374044418335,
0.7031078934669495,
0.28596794605255127,
-0.2933531105518341,
-1.024226188659668,
-0.42760464549064636,
-1.0969079732894897,
-0.4905085563659668,... |
You will be given a definition of a task first, then some input of the task.
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Matchup Weight Class Odds Prediction DraftKings Pick? Anthony Ha... | Velickovic Welterweight Matthews | 1 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.6895805597305298,
0.48735153675079346,
-0.4688374400138855,
-0.374198317527771,
0.6745001077651978,
0.2325325757265091,
0.9248570799827576,
0.3987329602241516,
0.0014001894742250443,
0.26341521739959717,
-0.09261972457170486,
0.7291857004165649,
-0.03284783288836479,
-0.05379843339323997... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | False | 3 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.3284324109554291,
0.6941261887550354,
-0.21820849180221558,
0.33712533116340637,
-0.40698546171188354,
-1.8519216775894165,
0.5198317766189575,
0.5039200782775879,
0.17290472984313965,
-0.17895156145095825,
-0.5373134016990662,
0.25741177797317505,
-0.7174171209335327,
0.0767457634210586... |
Definition: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial cont... | As he was walking down the street he dropped it into his pocket. | 2 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.5362975597381592,
0.11556598544120789,
-0.16852819919586182,
0.05414402112364769,
0.14544960856437683,
-1.0692983865737915,
-0.30117282271385193,
0.8927739262580872,
-0.24660243093967438,
-0.07639759033918381,
-0.6478530168533325,
-0.01044462900608778,
-0.21092253923416138,
-0.3153288364... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Problem:Esténdese axiña.
Solution: | Rozprzestrzenia się jak wirus. | 8 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.2996586561203003,
0.42986321449279785,
-0.4730195701122284,
-0.02206595055758953,
-0.5068411231040955,
-0.90540611743927,
0.5628904104232788,
-0.37940192222595215,
0.28067925572395325,
-0.3240612745285034,
-0.26249897480010986,
0.3586652874946594,
-1.0440410375595093,
0.2078191936016082... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: لنرى ما إذا كان بإمكاننا استعمال جميع حيل التجارة لإكتشاف طريقة جعل هذه الأدوية عبارة عن أصول مالية.
Student: | Vediamo se possiamo usare tutti i trucchi del mercato per immaginare come far funzionare questi farmaci come prodotti finanziari. | 6 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.3293421268463135,
0.6678544878959656,
0.06592560559511185,
-0.714087724685669,
-0.43494510650634766,
0.1900908350944519,
0.661101222038269,
1.286466121673584,
0.4787968099117279,
-0.42932838201522827,
-0.3299309015274048,
0.14909617602825165,
-0.6081852912902832,
-0.22368857264518738,
... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Input: Consider Input: Merseyside Police said the dog was destroyed after Clifford Clarke was attacked in Richard Kelly Close, Clubmoor, at 20:40 BST on Saturday. The women, aged 27 and 28 and from Club... | Output: Fine Gael's Phil Hogan has been named as the European Union's agriculture commissioner.
| 2 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.23135347664356232,
0.6661377549171448,
-0.9185640811920166,
-0.2223319113254547,
0.7300388216972351,
-0.8177780508995056,
0.6325425505638123,
0.8227677941322327,
-0.26579397916793823,
0.13911379873752594,
-0.2472376972436905,
0.665773332118988,
-0.8275676965713501,
0.47434404492378235,
... |
Q: Given a travel related situation, and given a specific question about the situation, summarize the question into a title
Two questions actually:
Are US dollars widely accepted in Jamaica? For example if I'm in a small town buying a pack of gum, would they accept my US dollars?
In Jamaica, do they refuse to accept ... | US dollars in Jamaica | 7 | NIv2 | task1639_doqa2.1_travel_text_summarization | zs_opt | [
0.2699701189994812,
0.1764974445104599,
-0.29578202962875366,
0.18278434872627258,
-0.5004836320877075,
-0.37110504508018494,
-0.11386092007160187,
0.8555521965026855,
-0.5604457855224609,
-0.06632028520107269,
0.5515053868293762,
-0.089816614985466,
-0.6305713653564453,
-0.349669694900512... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
תמונת לוויין במבט על כדור הארץ
A: | 地球を見下ろす衛星画像です | 7 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-1.0706415176391602,
0.3317403793334961,
0.23654687404632568,
-0.5137374401092529,
0.1374814659357071,
0.5925858020782471,
0.7900758981704712,
-0.29188966751098633,
0.5393039584159851,
-1.0720313787460327,
-0.005321641452610493,
-0.009342489764094353,
-0.3537028431892395,
0.841921806335449... |
Teacher:This task is about translating a given Yoruba language sentence to English.
Teacher: Now, understand the problem? Solve this instance: Gẹ́gẹ́ bí Antonio Conte ṣe sọ,"A kópa ribiribi lónìí, bẹ́ẹ̀ sì ni, a ní ẹ̀tó sí àmì mẹ́tẹ̀ẹ̀ta ọ̀hún, ní pàápàá jùlọ, Moses ṣe gudugudu méje ọ̀hún yààyà mẹ́fa, léyìn tí ó gbá àm... | Accoding to Antonio Conte, ‘we played very well today and we deserve the three goals, most especially Moses tried so much after he had scored a goal and helped for another goal. | 6 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.9619221091270447,
0.4905445873737335,
0.022934608161449432,
0.32653504610061646,
-0.30523568391799927,
-0.6792644262313843,
-0.33080029487609863,
0.7294452786445618,
-0.07383807003498077,
-0.15105560421943665,
-0.06562820076942444,
0.2706521153450012,
-0.506593644618988,
-0.0886443406343... |
instruction:
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
question:
Sentence: 'The Second Continental Congress meets in Philadelphia .', Argument/Subject 1: 'congress', Argument/Subject 2: 'philadel... | be bear
| 9 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.3216967284679413,
0.11799754202365875,
0.1763627529144287,
0.27648013830184937,
-0.3669428825378418,
-0.7541685104370117,
-0.005358328111469746,
0.01776180788874626,
0.558118462562561,
0.12979523837566376,
-0.6468684673309326,
0.14582914113998413,
-0.42133867740631104,
-0.37314844131469... |
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 o... | b | 2 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.2934127748012543,
-0.48117977380752563,
-0.36458003520965576,
0.31342363357543945,
0.1648319661617279,
-0.32022082805633545,
0.2402656227350235,
1.0262045860290527,
-0.2671552002429962,
0.13745737075805664,
-0.2714248299598694,
0.016873564571142197,
-0.21083757281303406,
-0.3227238655090... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | blue_container
| 1 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.09372581541538239,
-0.43597716093063354,
-0.4131701588630676,
0.5179458856582642,
-0.12060533463954926,
-0.28028804063796997,
-0.28752440214157104,
1.0995663404464722,
0.097321517765522,
-0.022771427407860756,
-0.38544827699661255,
0.49200910329818726,
-0.19144371151924133,
0.2082981318... |
Definition: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Input: چه چیزی باعث می شود تا به خودت افتخار کنی؟ <sep> چه چیزی باعث می شود احساس غرور کنی؟
Output: | paraphrase | 2 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.2840838432312012,
0.6579307913780212,
0.2933027446269989,
-0.3993370532989502,
-0.7613747119903564,
0.0043311892077326775,
1.4603139162063599,
0.5395432710647583,
0.6442623138427734,
-0.5820461511611938,
-0.8995341062545776,
-0.07134866714477539,
-0.737015962600708,
0.2741096615791321,
... |
In this task, you are given a positive review and your task is to convert it to a negative review by making minimal changes. Avoid changing the context of the review.
very friendly staff and manager .
very unfriendly staff and manager .
fun to watch the kitchen in rush hour .
the kitchen was a mess
service was wonde... | the service was wonderful , but the food was mew !
| 0 | NIv2 | task928_yelp_positive_to_negative_style_transfer | fs_opt | [
-0.5910082459449768,
1.165305495262146,
-0.19986504316329956,
-0.46108096837997437,
-0.1715564727783203,
0.17723333835601807,
0.3699439465999603,
0.3299509286880493,
0.4404834508895874,
0.2450525164604187,
-0.3249894082546234,
-0.5405599474906921,
0.26954972743988037,
0.03132619708776474,
... |
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 english language. Here, your job is to convert english sentence into the bulgarian language.
The third point is to improve coordination between national monitoring authorities for television broad... | Третият въпрос се отнася до подобряване на координацията между националните контролни органи за телевизионно разпространяване по отношение на глобите за неподходящи програми, които застрашават нравственото развитие на децата и младите хора. | 1 | NIv2 | task272_europarl_translation | zs_opt | [
-0.019381076097488403,
0.23413041234016418,
0.3888821601867676,
-0.6656597256660461,
0.1308901160955429,
1.0100756883621216,
1.3132762908935547,
-0.16704408824443817,
0.026035353541374207,
-0.6326463222503662,
-0.026585210114717484,
0.8126310706138611,
-0.8518418669700623,
-0.0354331247508... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Example Input: La teoría del cáncer más extendida dice que si hay un solo oncogén en una sola célula cancerosa, esto nos haría una víctima del cáncer.
Example Output: Now, the dominant cancer theory would say that there is... | C: This is an AK-47 rifle. This is your life.
| 3 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5629643201828003,
0.48576819896698,
0.27791064977645874,
-0.10513676702976227,
0.2600672245025635,
-0.8392654657363892,
-0.10154174268245697,
1.6271297931671143,
0.329495370388031,
0.1584450602531433,
-0.6177637577056885,
0.4129948019981384,
-0.16438139975070953,
-0.521883487701416,
0... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Input: (笑) だから放棄したのです
Output: | (Risas) Eso te hará abandonar algo. | 3 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.7752485275268555,
0.5555650591850281,
0.40794211626052856,
-1.2851243019104004,
-0.2540604770183563,
-0.4478880763053894,
0.35881972312927246,
0.27891355752944946,
0.9326251149177551,
-0.7934768795967102,
-0.2993869185447693,
0.4258899688720703,
-0.3219255208969116,
0.27983325719833374,... |
In this task, you need to count the number of words in a sentence that contain the given letter
Ex Input:
Sentence: 'a man holding a tennis racquet on a tennis court'. How many words contain the letter 'w' in the sentence.
Ex Output:
0
Ex Input:
Sentence: 'a sleek and pointy fighter jet flying in the sky'. How many... | 2
| 1 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.5946006774902344,
0.5326319932937622,
0.13573940098285675,
-0.412884384393692,
0.28770923614501953,
-0.26488831639289856,
0.7505221962928772,
0.5099627375602722,
0.24946844577789307,
-0.42738646268844604,
-1.1040997505187988,
0.6221643686294556,
-0.44688570499420166,
-0.3288024663925171... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Problem:अच्छा लड़का.
Solution: | Good boy. | 8 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.06746277213096619,
0.5232239961624146,
0.0068362378515303135,
-0.2973431944847107,
0.009653365239501,
-0.9080092906951904,
0.44138598442077637,
0.15488284826278687,
-0.42823588848114014,
-0.29952406883239746,
-0.2914513945579529,
0.4557822346687317,
-0.3277393579483032,
0.10940873622894... |
Detailed Instructions: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the t... | Sci/Tech | 9 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.6032987833023071,
0.42033225297927856,
-0.4608297049999237,
0.40450990200042725,
0.5027130842208862,
0.17838746309280396,
0.10662458837032318,
-0.616532564163208,
-0.11334288120269775,
-0.10995377600193024,
-0.1922188699245453,
0.548576295375824,
0.024796590209007263,
-0.199591055512428... |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: Foot really hurts today
A: | negative | 9 | NIv2 | task195_sentiment140_classification | zs_opt | [
-0.6794435381889343,
0.5190180540084839,
0.639424204826355,
0.7293871641159058,
0.23321452736854553,
-0.5567289590835571,
-0.013731750659644604,
0.5321491956710815,
0.20316526293754578,
0.3531275689601898,
-0.548136293888092,
-0.04018133878707886,
-0.05292831361293793,
-0.11113947629928589... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: Who did James Earl Ray shoot in Memphis in April 1968?
A: | martin luther king, jr. | 4 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
1.321596622467041,
1.0015302896499634,
-0.0022216672077775,
-0.43455612659454346,
-0.05475578457117081,
-0.2137695699930191,
0.8318871855735779,
0.37851136922836304,
0.2841934561729431,
0.23646238446235657,
-0.045138292014598846,
0.011735031381249428,
-0.8395934104919434,
-0.16303139925003... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_RUN | 6 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.149624302983284,
0.7283270359039307,
-0.30464985966682434,
0.02420114353299141,
0.13710586726665497,
0.013720369897782803,
0.3364555239677429,
0.127843976020813,
-0.20807692408561707,
-0.42828649282455444,
-0.8585916757583618,
-0.33041051030158997,
-0.7737175822257996,
-0.129259556531906... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | number | 8 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.7546019554138184,
0.5268658995628357,
-0.6436503529548645,
-0.26451319456100464,
0.3153478801250458,
-0.6739077568054199,
0.6924970149993896,
0.24921782314777374,
0.39673739671707153,
-0.14875361323356628,
-0.31090447306632996,
0.5625046491622925,
-1.0935120582580566,
-0.0702916383743286... |
Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emot... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,happiness,No emotion,No emotion,happiness,happiness | 3 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
0.03206938877701759,
0.21890097856521606,
0.13738656044006348,
0.2247101068496704,
-0.12054849416017532,
-0.35941898822784424,
0.8219634294509888,
-0.4573186933994293,
0.19479763507843018,
-0.22239083051681519,
0.4603464901447296,
-0.6603680849075317,
-0.700475811958313,
0.3722014427185058... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
[Q]: Which novelist and critic, who was married to Iris Murdoch for over forty years, died earlier this year aged 89?
[A]: john bayley
[Q]: What did Alfred Hormel in... | andorra
| 5 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.024462059140205383,
1.1919962167739868,
0.65715491771698,
-0.6989431381225586,
0.2897196412086487,
-0.4888560175895691,
0.7045053243637085,
-0.31925132870674133,
0.6614260673522949,
-0.32992398738861084,
-0.6207047700881958,
0.7395285964012146,
-0.7757651209831238,
0.05989152565598488,
... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
question:
Oto zwykły aparat telefoniczny. Podłączamy go do małego pudełka a pudełko do modemu.
answer:
تقوم بوصل جهاز الهاتف المعتاد بالصندوق الصغير الذي قاموا باعطائه لك, ويتم وصل ذلك الصندوق بجهاز المودم
quest... | منظمة الصحة العالمية تقدر الان أن واحد من بين كل خمسة أشخاص على الكوكب يعاني من إكتئاب سريري.
| 9 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.29141226410865784,
0.478353887796402,
-0.8025267124176025,
-1.2247763872146606,
-0.2738843560218811,
-0.30008041858673096,
0.9634480476379395,
0.015918631106615067,
0.16323313117027283,
-0.10932552814483643,
-1.1922509670257568,
0.6726468205451965,
-0.5559290051460266,
0.319254070520401... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Nuevamente, se ve esa tendencia en Europa y Norteamérica.
Output: | Widzimy tę tendencję w Europie i Ameryce Północnej. | 2 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.7129788398742676,
0.840668261051178,
-0.4364743232727051,
0.36812078952789307,
-0.3304574489593506,
0.1915232390165329,
0.18226094543933868,
0.5436398983001709,
0.5479402542114258,
-0.03849846124649048,
0.050108324736356735,
0.06296245008707047,
0.027345377951860428,
0.3344251215457916,... |
TASK DEFINITION: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
... | 16
| 8 | NIv2 | task1445_closest_integers | fs_opt | [
-0.032902561128139496,
0.15841330587863922,
-0.04415592551231384,
-0.13824081420898438,
0.20433664321899414,
0.09278400242328644,
0.9680367112159729,
0.0880105197429657,
0.2872936427593231,
0.09348706156015396,
-0.6189713478088379,
-0.3951229453086853,
-0.4836356043815613,
-0.0515323430299... |
Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Input: who does ryan newman race for?
Output: | Alltel | 3 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.7328054904937744,
0.6225929260253906,
0.2750576436519623,
-0.0006906994385644794,
-1.2168428897857666,
0.20352962613105774,
-0.21304205060005188,
0.39909255504608154,
0.9385762810707092,
-0.5094252824783325,
-0.4846341609954834,
-0.07119464129209518,
0.010093173943459988,
0.509949743747... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
E ad altre abbiamo chiesto quanto veloci andassero le auto quando si sono distrutte.
| Y a otros les preguntamos, ¿Que tan rápido iban los autos cuando se estrellaron? | 5 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.7708728313446045,
1.0938905477523804,
0.3071820139884949,
0.34205079078674316,
-0.2547287940979004,
-0.542763352394104,
0.036894790828228,
1.0783770084381104,
0.038341064006090164,
-0.3690342605113983,
-0.6512507200241089,
0.1468012034893036,
-0.7353654503822327,
0.4088643193244934,
0... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Article: russia 's main stock exchanges suspended trade tuesday ... | no | 6 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.1714024543762207,
0.3767138719558716,
0.6872396469116211,
0.13291035592556,
-0.24416488409042358,
0.2324623316526413,
0.130242258310318,
1.020505428314209,
-0.012612411752343178,
0.034065280109643936,
-0.4854162335395813,
0.28332751989364624,
-0.17782576382160187,
0.16184505820274353,
... |
Definition: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Input: In 1996, treasure hunter Brock Lovett and his team aboard the research vessel Akademik Mstislav Kel... | Answer: The ship | 2 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.6177963614463806,
0.04531479626893997,
-0.8803761601448059,
0.23675766587257385,
0.6916689872741699,
-0.4737314283847809,
1.072227954864502,
0.5284618139266968,
-0.47655194997787476,
0.20461136102676392,
0.23456315696239471,
-0.044391173869371414,
-0.2373151034116745,
0.591039776802063,
... |
Teacher: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 th... | eq { min { filter_eq { all_rows ; competition ; friendly match } ; date } ; 7 november 1997 } | 6 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.14473804831504822,
-0.08409054577350616,
-0.4513736963272095,
0.39254340529441833,
0.20780587196350098,
-0.5557910203933716,
0.5870227813720703,
0.5237988233566284,
0.015815312042832375,
-0.3239627182483673,
-0.2921079397201538,
0.008909848518669605,
-0.28670379519462585,
0.3295941650867... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | Solution: strengthener | 5 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.30800971388816833,
0.17731712758541107,
-0.3431520164012909,
-0.11268842220306396,
-0.18145224452018738,
-0.9678145051002502,
1.248390793800354,
1.5942524671554565,
0.20913754403591156,
-0.7581877112388611,
-1.1515610218048096,
-0.42427611351013184,
-1.0739054679870605,
-0.17541620135307... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Problem:Sentence... | entails | 8 | NIv2 | task1554_scitail_classification | zs_opt | [
0.17359206080436707,
0.7554856538772583,
0.024394195526838303,
-0.09601549804210663,
-0.5970330238342285,
-0.9234238862991333,
0.2981012463569641,
0.7002723813056946,
0.06257684528827667,
-0.08232100307941437,
-0.8820408582687378,
-0.4060637652873993,
-0.4631936848163605,
-0.30808687210083... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 8 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.16998106241226196,
-0.007832679897546768,
0.44732555747032166,
-0.043258149176836014,
-0.3006039261817932,
-0.9719375371932983,
1.121565818786621,
0.29327791929244995,
-0.2709946036338806,
-0.2606431245803833,
-0.312557578086853,
-0.7639732956886292,
-0.6564347743988037,
0.30009546875953... |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can ... | This person could not sleep properly while staying in the hotel . | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.20893177390098572,
0.44241905212402344,
-0.1672142893075943,
0.35669440031051636,
-0.5965791940689087,
-0.7962033748626709,
0.28322070837020874,
0.16779136657714844,
-0.21705417335033417,
-0.3187108337879181,
-0.22419852018356323,
-0.2219601720571518,
-0.7114742994308472,
-0.18380615115... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | weakener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
-0.11649541556835175,
0.2428596019744873,
-0.5629936456680298,
-0.2692594528198242,
-0.11511719226837158,
-0.7693043947219849,
1.3198168277740479,
0.9057870507240295,
0.555133581161499,
-1.0016850233078003,
-1.0997140407562256,
-0.5765123963356018,
-0.8606786131858826,
0.23211905360221863,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: La ingeniería del genoma viene desarrollándose desde 1970.
A: | Genome engineering is actually not new, it's been in development since the 1970s. | 4 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.7845462560653687,
1.1451482772827148,
0.49644696712493896,
-1.3105398416519165,
-0.4143814444541931,
-0.9598227739334106,
-0.45309731364250183,
1.4612090587615967,
0.7123949527740479,
-0.15836213529109955,
0.7269420623779297,
0.6435135006904602,
-0.5979043841362,
0.7575448751449585,
-... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 2
| 0 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.8006860017776489,
1.1576297283172607,
0.0264069102704525,
-0.7471840381622314,
-0.0832367017865181,
-0.32273027300834656,
1.437114953994751,
-0.44540709257125854,
0.17906656861305237,
-1.1921696662902832,
0.07228320837020874,
-0.004841050133109093,
-1.0406224727630615,
-0.563041806221008... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Let me give you an example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی ق... | كانت هذه جميع الحركات المختلفة. وهناك العديد منها. | 8 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-1.0135890245437622,
0.3241991400718689,
-0.6586050987243652,
-0.3730274438858032,
-0.07582294195890427,
0.07966696470975876,
0.9223046898841858,
-0.03206205740571022,
-0.16116702556610107,
-0.24919772148132324,
-0.8280026316642761,
-0.01732208952307701,
-0.3404736816883087,
0.296004563570... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
E... | No | 1 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.5375170707702637,
0.29796814918518066,
0.10396886616945267,
0.27596884965896606,
0.17959344387054443,
0.2508988380432129,
-0.07817833125591278,
-0.1721683293581009,
-0.36465153098106384,
-0.14641515910625458,
-0.05481356754899025,
0.6318447589874268,
-0.3306037187576294,
0.7016131877899... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Problem:بیایید به این آوازی که "" کوکاکولا "" برای جام جهانی تولید کرده ، گوش کنیم ، "" پرچم افراشته "" با صدای یک هنرمند هیپ هاپ سومالیایی
Solution: | Vamos ouvir esta música que a Coca-Cola criou para o evento, "" Wavin 'Flag "" ("" Agitando a bandeira ""), por um artista hip hop da Somália. | 8 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
0.3649633526802063,
0.7004296779632568,
-0.11786141991615295,
0.3217414617538452,
-0.7171252965927124,
-0.25443893671035767,
0.1446569263935089,
0.7414062023162842,
-0.266865074634552,
-0.18417488038539886,
-0.8371443152427673,
0.39762550592422485,
-0.1916888952255249,
-0.21204276382923126... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Q: He said, "" I have a dream. "" And I have a dream.
A: 「私には夢がある」と言ったのですそして私にも夢があります
****
Q: Voice 8: I was driving to work at 5: 45 local time in the morning.
A: 声８ ： 仕事に向かう車の中で現地は朝の5時45分でした
****
Q: He started as some... | 最初は悪を行う人を非難していた国際法を犯す人を責めて言ったものでした『国連憲章に違反してる
****
| 4 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.005635560490190983,
0.5488437414169312,
0.411846399307251,
-0.37336811423301697,
-0.5489894151687622,
-0.3374134302139282,
0.33496689796447754,
0.024426091462373734,
-0.4308259189128876,
-0.6145138740539551,
-0.18041646480560303,
0.08715806901454926,
-0.9915759563446045,
-0.2693733870983... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: And when they do, we say that they've solved the puzzle.
A: E quando ci riescono, hanno risolto il puzzle.
****
Q: Paul Offit:... Vaccine allowed us to eliminate polio virus.
A: Paul Offit:... I vaccini ci hanno perme... | La terza diminuisce, e la quarta e la quinta.
****
| 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.20367807149887085,
0.7201486229896545,
-0.4227740168571472,
0.199776291847229,
-0.19533240795135498,
-1.251053810119629,
0.4114829897880554,
0.6747199892997742,
0.26944079995155334,
-0.4835025668144226,
-0.4736053943634033,
0.6330103278160095,
-0.1190481185913086,
0.03833021596074104,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: Remembering revered Bapu, we should move out of home collecting single-use plastic from homes, stree... | 16 କୋଟି ଟଙ୍କା ମୂଲ୍ୟର 105ଟି ପ୍ରକଳ୍ପ କାର୍ଯ୍ୟ ଶେଷ ହୋଇଛି । 4. | 4 | NIv2 | task987_pib_translation_english_oriya | fs_opt | [
-0.3435424566268921,
0.1935487687587738,
-0.7291171550750732,
0.40063419938087463,
0.08314424008131027,
-1.327713966369629,
0.29325756430625916,
0.32695645093917847,
-0.5099650621414185,
0.9497660398483276,
-0.6619443893432617,
0.10259033739566803,
-0.48945897817611694,
-0.3795933723449707... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Input: Cons... | Output: [81, 163, 81, 135]
| 2 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.6720792055130005,
0.370990514755249,
-0.40761080384254456,
-0.6376239061355591,
0.29584354162216187,
0.13370469212532043,
0.6558587551116943,
0.3909616768360138,
-0.41343021392822266,
0.5541515350341797,
-1.071974754333496,
0.31155747175216675,
-0.2034754902124405,
-0.7388643026351929,
... |
Instructions: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Input: THEM: i need the books, you get the hats and the balls YOU: works for me, deal.
Output: | Yes | 3 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.2513102889060974,
0.5027680397033691,
-0.11933045089244843,
0.7327736616134644,
0.09582225978374481,
-0.3315233588218689,
0.663552463054657,
-0.30225130915641785,
0.3517352342605591,
-0.2527719736099243,
-0.330818235874176,
-0.1959134042263031,
-0.6962519288063049,
-0.38283398747444153,
... |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: In dit opzicht loopt de EU achterop.
A: E aqui, a UE ... | Embora fossem aplicadas novas normas aos fornecedores de todos os países exportadores, os custos de conformidade são geralmente variáveis, o que significa que os fornecedores com menos capacidade para cumprir normas mais rigorosas poderiam ficar desfavorecidos.
****
| 4 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.7228460311889648,
0.6363401412963867,
0.06460532546043396,
0.25879016518592834,
-0.26735538244247437,
0.09978806227445602,
0.2548123300075531,
1.2418626546859741,
0.30278539657592773,
-0.3977971076965332,
-0.436348557472229,
0.9774726629257202,
-0.954094409942627,
0.5341230630874634,
... |
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.
Let me give you an example: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given senten... | the bottom view of commercial air plane as it flies through the sky | 8 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.06714902818202972,
0.3336822986602783,
0.028926262632012367,
-1.057065486907959,
0.36114510893821716,
-0.3546183407306671,
0.1580665558576584,
0.559705913066864,
-0.056862637400627136,
-0.3605082631111145,
-1.196845293045044,
-0.7132478952407837,
-0.5657966136932373,
-0.3298684358596802,... |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: उन्होंने कहा कि सभी कठिनाइयों के बावजूद लोगों की एक समर्पित टीम ने हर गांव में विद्युतीकरण का सपना साकार करने को सुनिश्चित करने क... | Output: પ્રધાનમંત્રીએ અધિકારીઓને અનુરોધ કર્યો કે તેઓ સમાજનાં ગરીબ અને નબળા વર્ગ સુધી આ યોજનાનો લાભ પહોંચે તે રીતે શ્રેષ્ઠ અને લક્ષિત યોજના તરફ કાર્ય કરે.
| 2 | NIv2 | task1034_pib_translation_hindi_gujarati | fs_opt | [
-0.6440808773040771,
0.38497576117515564,
-0.02401772141456604,
-0.5393627882003784,
0.2566518783569336,
-0.48382800817489624,
0.6428331136703491,
0.2985658049583435,
-0.24213126301765442,
-0.4213957190513611,
-0.6514651775360107,
0.07050999999046326,
-0.43660834431648254,
-0.4416651427745... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Q: Answer: fayetteville, georgia
A: where chris benoit die?
****
Q: Answer: mercury (planet)
A: what is the second hottest planet next to the sun?
****
Q: Answer: viking 1
A: | what was the first aircraft to land on mars?
****
| 4 | NIv2 | task443_com_qa_ans_question_generation | fs_opt | [
-0.7147789597511292,
1.3844271898269653,
-0.160802960395813,
-0.2645886540412903,
-0.5334702730178833,
-1.8798744678497314,
-0.8923152685165405,
-0.116745725274086,
0.516703724861145,
0.23293527960777283,
-0.17825302481651306,
0.14211109280586243,
-0.6803701519966125,
0.1167549416422844,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Let me give you an example: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
The answer to this example can be: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Here is ... | Os amigos da África do Sul sabem que foi muito doloroso. | 8 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.08911871910095215,
1.151761531829834,
0.5595906972885132,
-0.7507153749465942,
-0.25104331970214844,
-1.1616253852844238,
-0.07357010990381241,
0.5794813632965088,
0.6533322334289551,
-0.7395498752593994,
-0.4861503839492798,
0.1283922642469406,
-0.8066561222076416,
-0.00946819968521595... |
You are given a context, a pronoun, and a noun in this task. The given pronoun is shown in the context within parentheses. You should determine if the pronoun refers to the given noun or not. Please answer with "True" and "False".
Q: Susan knows all about Ann 's personal problems because (she) is indiscreet. <sep> Pron... | False | 4 | NIv2 | task1390_wscfixed_coreference | zs_opt | [
-0.40951818227767944,
0.6001157164573669,
-0.334644079208374,
-0.25239935517311096,
-0.5082653164863586,
-0.5516558289527893,
0.6941253542900085,
0.8871923089027405,
0.3785420060157776,
0.36410248279571533,
-0.4881078600883484,
0.508720874786377,
-0.4544542133808136,
-0.4380836486816406,
... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | where do flowers form? | 3 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.17502622306346893,
0.8666782379150391,
0.015251473523676395,
-0.03815683722496033,
-0.8483462333679199,
-0.9400294423103333,
0.4990851581096649,
0.7810348272323608,
0.18895557522773743,
-0.33151552081108093,
-1.6299123764038086,
0.29173392057418823,
-0.47934550046920776,
0.26605415344238... |
Definition: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'... | No | 2 | NIv2 | task227_clariq_classification | zs_opt | [
-0.5039366483688354,
-0.12518182396888733,
0.37703830003738403,
0.23301434516906738,
-0.23163791000843048,
-0.4850939214229584,
0.8742332458496094,
0.23863749206066132,
0.05973160266876221,
-0.06495708227157593,
-0.25896117091178894,
-0.659309983253479,
-0.5779616832733154,
0.0676201060414... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Part 2. Example
Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Answe... | É uma história louca, mas acredito que talvez seja a melhor e definitiva vingança contra os mosquitos, de todos os tempos. | 7 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.2851579487323761,
0.7344606518745422,
0.18379154801368713,
-0.35360339283943176,
0.029960492625832558,
-0.46820980310440063,
-0.7475097179412842,
1.179835319519043,
-0.19687721133232117,
0.2616138458251953,
-0.6584949493408203,
0.11740446090698242,
-0.14370855689048767,
-0.3657989799976... |
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | Solution: high | 5 | NIv2 | task1712_poki_classification | fs_opt | [
0.40332913398742676,
1.000778317451477,
0.4147489070892334,
0.02826497331261635,
-0.524311363697052,
-1.1773641109466553,
-0.12553125619888306,
0.578385591506958,
0.37047117948532104,
-0.7390624284744263,
-0.3560429513454437,
0.3276088237762451,
-0.4366320073604584,
-0.16739356517791748,
... |
Given the task definition and input, reply with output. Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B"... | scissors | 5 | NIv2 | task1156_bard_analogical_reasoning_tools | zs_opt | [
-0.33843177556991577,
1.0806543827056885,
-0.7387582063674927,
0.4757959842681885,
-0.40315619111061096,
0.2166987806558609,
0.9243632555007935,
0.4698936641216278,
-0.1542988419532776,
-0.16015967726707458,
-0.1501353681087494,
-0.09521281719207764,
0.038823530077934265,
0.205007418990135... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: כשהייתי בחור צעיר, ביליתי שש שנים של הרפתקאה פרועה באיזור הטרופי כשעבדתי כעיתונאי חוקר בכמה מהחלקים הכי מכשפים של העולם.
Student: | Quando eu era jovem, passei seis anos em grandes aventuras nos trópicos a trabalhar como jornalista de investigação em algumas das mais encantadoras partes do mundo. | 6 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.631471574306488,
0.4453510046005249,
0.12340690940618515,
-1.1118335723876953,
-0.6879746317863464,
-0.28018563985824585,
-0.6410982608795166,
0.2935623526573181,
0.554944634437561,
-0.48690590262413025,
-0.5004408359527588,
-0.09156783670186996,
-1.191224455833435,
-0.7387175559997559,... |
Definition: 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.
Input: what language is Seconds in?
Output: | English | 2 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.7192980051040649,
0.12174569815397263,
-0.1351839303970337,
0.5061212182044983,
-0.4184448719024658,
0.4902620017528534,
0.6225371360778809,
0.0014825381804257631,
0.4686015546321869,
-0.15745393931865692,
-0.485706090927124,
-0.017892062664031982,
-0.45819127559661865,
-0.2354841977357... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT... | 3 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.5149626731872559,
0.5525939464569092,
-0.5175906419754028,
0.15253391861915588,
0.16625182330608368,
-0.3235436677932739,
0.2499249428510666,
0.48825550079345703,
-0.1875457465648651,
0.039379894733428955,
-0.759888768196106,
-0.15995655953884125,
-0.47620463371276855,
-0.219166338443756... |
TASK DEFINITION: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
PROBLEM: How many uninterrupted times has the silver medalist in men 's downhill alpine skiing at the Olympic Games of 2010 obtained a world cham... | Outstanding Documentary or Cultural Film
| 8 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.07436199486255646,
1.1209897994995117,
-0.4904865026473999,
-0.6491003036499023,
-0.47328999638557434,
0.272273987531662,
0.8529508709907532,
0.006402447819709778,
0.0013810561504215002,
-0.4118960499763489,
0.06541271507740021,
0.2771456241607666,
-0.9273557066917419,
0.342090249061584... |
Detailed Instructions: 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.
Problem:کدام ترکیب رنگی درست نیست؟ <sep> (A) زرد + آبی = سبز (B) زرد + قرمز = صورتی (C) قرمز + آبی = بنفش (D) زرد + ق... | B | 8 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.1586870551109314,
0.7434254288673401,
-0.42035019397735596,
-0.40266290307044983,
-1.4555339813232422,
0.4667094945907593,
1.1043859720230103,
0.8635902404785156,
0.6041960716247559,
-0.06068844348192215,
-0.7664803266525269,
0.03015373833477497,
-0.07010124623775482,
0.0146874915808439... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the t... | What are two examples of cytotoxic or immunosuppressive drugs? | 0 | NIv2 | task1676_xquad-ca_translation | fs_opt | [
0.0643620640039444,
0.34200289845466614,
0.07923313975334167,
-0.39017027616500854,
0.11716058850288391,
-0.7941489219665527,
0.9178506135940552,
-0.26554059982299805,
0.12987160682678223,
-0.540366530418396,
-0.21957212686538696,
-0.005350460298359394,
-0.8410511016845703,
0.5026681423187... |
Q: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answ... | span | 7 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.01832948997616768,
0.6997700333595276,
0.1865139901638031,
-0.17514896392822266,
0.8979272246360779,
0.36364930868148804,
0.564814567565918,
-0.21115398406982422,
-0.22207926213741302,
0.7190826535224915,
-0.11717353016138077,
0.41002416610717773,
-0.28265249729156494,
-0.258747339248657... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: a shopkeeper sold 50 articles at the cost price of 60 articles . then find the profit % or lost %
Options: a ) 20 % , b ) ... | b
| 0 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.4367683529853821,
0.21781085431575775,
-0.6387873291969299,
0.053005531430244446,
-0.6042949557304382,
-0.6620112061500549,
0.7200446128845215,
1.211186408996582,
0.23218879103660583,
0.1664992868900299,
-0.43917393684387207,
0.643071711063385,
-1.152122974395752,
0.3331083059310913,
0... |
Q: 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".
Pete stands up and goes to get a fork for one of the other boys.
A: | Present | 7 | NIv2 | task429_senteval_tense | zs_opt | [
-0.3217865824699402,
0.66764897108078,
0.30355799198150635,
0.1376744508743286,
0.09404103457927704,
-0.6121379733085632,
0.42762231826782227,
1.2753759622573853,
0.21631687879562378,
-0.3044534921646118,
-0.281124085187912,
0.5573594570159912,
-0.6452474594116211,
-0.30602097511291504,
... |
Instructions: 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.
Input: NHSのスポークスマンによると、クック氏は倒れた90分後に病院に到着し、その5分後に死亡が伝えられた。
Output: | ໂຄສົກຂອງສະຖານການແພດ NHS ໄຮແລນ ກ່າວວ່າ ທ່ານ ຄຸກໄດ້ມາຮອດໂຮງໝໍ ເມື່ອ90ນາທີນັບຈາກທີ່ທ່ານລົ້ມລົງ ແລະ ໄດ້ລາຍງານວ່າ ທ່ານກໍ່ເສຍຊີໃນເວລາຫ້ານາທີ່ຕໍ່ມາ. | 3 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
-0.011261386796832085,
0.2088867872953415,
-0.24049735069274902,
-0.8616067171096802,
-0.2614322602748871,
-0.6258596777915955,
0.39183664321899414,
-0.19017335772514343,
-0.39121773838996887,
0.1784682273864746,
0.062082983553409576,
0.5212348103523254,
-0.4550439715385437,
1.249191522598... |
Detailed Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Problem:Given Relationship: 'win', Sentence: 'When Bush only won Ohio by 3.5 percentage points in 2000 , it sent chills down the spines of ... | in | 8 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.7389622330665588,
1.0394651889801025,
-0.5125942230224609,
-0.010471588000655174,
-0.6780038475990295,
-0.6202609539031982,
0.5579297542572021,
0.8574977517127991,
0.8084800243377686,
0.1998375952243805,
-0.9116978049278259,
0.5906267762184143,
0.1299673169851303,
-0.022219477221369743,... |
instruction:
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's th... | False
| 9 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.2887129783630371,
0.12514770030975342,
-0.4724700450897217,
0.2858642637729645,
-0.41159459948539734,
-0.427354633808136,
0.6596697568893433,
0.45518726110458374,
-0.008790289983153343,
0.34501007199287415,
0.420051634311676,
0.06475290656089783,
-0.003710525343194604,
0.139623150229454... |
Given the task definition and input, reply with output. 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 di... | Offensive | 5 | NIv2 | task1502_hatexplain_classification | zs_opt | [
-0.7621845602989197,
1.1800481081008911,
0.45539024472236633,
0.7215986251831055,
-0.2120116949081421,
-0.6495708227157593,
0.1942666471004486,
0.5405000448226929,
0.5660215616226196,
0.2126762866973877,
-0.6482362151145935,
0.06173599138855934,
-0.532037079334259,
-1.0878777503967285,
0... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX stops barking. Intent: 1) a baby | Positive | 0 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.7327154874801636,
0.3478543758392334,
-0.15957051515579224,
0.16546422243118286,
-0.6056877374649048,
-0.5659877061843872,
0.9257437586784363,
0.09102703630924225,
0.39990290999412537,
0.02800585702061653,
-0.22285869717597961,
0.0965462252497673,
-0.4423988461494446,
-0.493682563304901... |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: मित्रांनो, माझी ही सूचना तुम्हाला निश्चितच चांगली वाटली असणार
The answer to this example can be: دوست، میرا نوٹس آپ نے یقینی طو... | ریاست مرکز کے انتظام علاقے چھٹے مرحلے میں پارلیمانی حلقوں کی تعداد | 8 | NIv2 | task989_pib_translation_marathi_urdu | fs_opt | [
0.4070962369441986,
0.3392293453216553,
0.14642027020454407,
0.14970886707305908,
0.01802128367125988,
-1.608860969543457,
0.41697102785110474,
0.024454277008771896,
-0.19718751311302185,
-0.18710705637931824,
-0.24822843074798584,
-0.21339058876037598,
-0.21023371815681458,
-0.19998294115... |
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