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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. on... | the 1st minimum date record of all rows is july 23 , 2002 .
| 8 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.39771348237991333,
-0.012374465353786945,
-0.4698253273963928,
0.25750160217285156,
0.4259260296821594,
-0.32172834873199463,
0.436996191740036,
0.4645163416862488,
0.17391619086265564,
-0.2294008880853653,
-0.32502323389053345,
0.05514097958803177,
0.3939577639102936,
0.3887677192687988... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, o... | Yes | 0 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.13756167888641357,
0.6680769920349121,
0.13742320239543915,
-0.22683937847614288,
0.1305539458990097,
-0.25112369656562805,
1.2144513130187988,
0.22038179636001587,
0.6054083108901978,
-0.10785220563411713,
0.4798532724380493,
1.097192645072937,
-0.7469930052757263,
0.48409056663513184,... |
TASK DEFINITION: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
PROBLEM: [-864, 710, 462, 282, -959]
SOLUTION: [-860, 710, 460, 280, -960]
PROBLEM: [-309, -91, -270, -100, 548, 634, -420,... | [-120, 820, -890, 980, -550, -970]
| 8 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.7723636031150818,
0.4192202687263489,
-0.3056063652038574,
-0.42552000284194946,
-0.026859108358621597,
0.13698846101760864,
0.4859805703163147,
-0.2483157068490982,
-0.2831650376319885,
-0.05043325945734978,
-0.5467824935913086,
0.0256724264472723,
-0.772278904914856,
0.127789944410324... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Ex Input:
個人的な体験で言うと私がMITにいたときコンピュータはこのホールほどの大きさで計算能力は今の携帯電話より劣っていました
Ex Output:
Kiedy byłem na MIT komputer wielkości tej sali miał mniejszą moc niż wasze telefony komórkowe.
Ex Input:
この二つをごっちゃにしてしまうと何も耳に入ってきません
Ex ... | Co takiego jest w tym dla mrówki?
| 1 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.25951501727104187,
0.376564621925354,
-1.024458646774292,
-0.04546055942773819,
-0.179707869887352,
-0.893373429775238,
-0.03763308376073837,
0.06993723660707474,
0.5178255438804626,
-0.07537747919559479,
0.07657559961080551,
0.3737611472606659,
-0.593159019947052,
0.2313065379858017,
... |
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... | Вие се страхувате да намерите бележка в метрото. | 1 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.10076175630092621,
0.30379801988601685,
-0.09036687016487122,
0.09758111834526062,
0.2189134955406189,
-0.04528467357158661,
0.7835139036178589,
0.19879016280174255,
0.696841299533844,
-0.49418044090270996,
-0.7749828100204468,
0.4168846011161804,
-0.2775594890117645,
0.2060210406780243... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 8701394055
****
| 4 | NIv2 | task1443_string_to_number | fs_opt | [
-0.9627069234848022,
1.1790177822113037,
-0.3388819098472595,
-1.0837857723236084,
-0.5440692901611328,
-0.14655764400959015,
0.8982279896736145,
0.1579756885766983,
-0.0963052362203598,
-0.41186830401420593,
-0.843968391418457,
0.42549243569374084,
-1.1080083847045898,
-0.0224631074815988... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Input: الآن لو كنت طائراً ، فإن المبنى على يساري يشكل عائقاً.
Output: | Gdybym był ptakiem, budynek po mojej lewej byłby odpowiedzialnością. | 2 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.30751481652259827,
0.9977141618728638,
-0.11313378810882568,
-0.38673779368400574,
-0.24646836519241333,
0.0769563838839531,
0.8891968727111816,
0.17442333698272705,
0.7668478488922119,
0.27320241928100586,
-0.6647933721542358,
-0.1645030677318573,
-0.2735115885734558,
-0.17844602465629... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['5121', '999', 'M'] | 6120 | 0 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.2404957115650177,
0.9696258902549744,
-0.4568619430065155,
-1.00220787525177,
-0.3634236752986908,
0.47928014397621155,
-0.0006102200131863356,
-0.049409590661525726,
-0.12213855981826782,
0.24778985977172852,
-0.8382692337036133,
-0.2656295895576477,
0.19885629415512085,
-0.01192658953... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
--------
Question: Fact1: Amphibians have permeable skin that easily absorbs substances from the environment., Fact2: All frogs are amphibians., Question: Wha... | A
| 7 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.2848687469959259,
-0.18460804224014282,
-0.3593123257160187,
0.5031009912490845,
-0.2612394094467163,
-1.0369477272033691,
-0.3830757737159729,
0.6562678813934326,
-0.41657817363739014,
-0.29199522733688354,
-0.5378178954124451,
0.02217850089073181,
-0.6855521202087402,
-0.00248474162071... |
Teacher:In this task, you need to reverse 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.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'two rows of police men on motorcycles driving down a road'.... | two swor of police men on motorcycles driving nwod a daor | 6 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.22062641382217407,
0.4458574056625366,
-0.06562827527523041,
-0.6510599851608276,
-0.22245903313159943,
-0.46487337350845337,
-0.1406211256980896,
0.4972541928291321,
0.29091864824295044,
-0.3058036267757416,
-1.3833059072494507,
-0.3129980266094208,
-0.004572505131363869,
-0.4335187375... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Example Input: ['L', '9089', 'm', '8015', 'P', 'M', '6969', '8929', '7199', '1615']
Example Output: L, m, P, M
Example ... | s, t, Y, a
| 3 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.01071975938975811,
-0.0052921464666724205,
-0.5307283997535706,
-0.05020599439740181,
0.16484886407852173,
-0.4489282965660095,
0.4852823317050934,
0.6328533887863159,
-0.4382016658782959,
0.2782699167728424,
-0.5232126116752625,
-0.03914292901754379,
0.11114515364170074,
-0.24827319383... |
Given the task definition and input, reply with output. Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit e... | They did n't feel good . | 5 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.005030594300478697,
0.23132675886154175,
-0.1844152808189392,
-0.08156567066907883,
-0.08195973932743073,
-0.4832910895347595,
0.4077977240085602,
0.15114645659923553,
0.043759070336818695,
-0.18332239985466003,
0.07119938731193542,
-0.1823192834854126,
-0.5836555361747742,
0.1435448080... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: एक मात्र सांगतो की, ‘मन की बात’ला दिलेल्या अल्पविरामामुळं माझ्या मनामध्ये थोडी रिक्ततेची भावना निर्माण झाली होती. केदारच्या दरी-डोंगरांमध्ये, त्या एक... | নির্মাণ কাজের সময় তাঁদের অনেককেই প্রাণ হারাতেহয়েছিল।
****
| 4 | NIv2 | task1062_pib_translation_marathi_bengali | fs_opt | [
-0.2235758900642395,
0.609063982963562,
0.017209120094776154,
0.2080395519733429,
-0.913214921951294,
-1.1002228260040283,
0.6266789436340332,
0.445902943611145,
-0.5140343308448792,
-0.7516093254089355,
-1.1702359914779663,
-0.2575180232524872,
-0.8803145289421082,
0.7127913236618042,
0... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Person... | Yes | 1 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
-0.017278123646974564,
-0.19400474429130554,
0.33825036883354187,
0.3296493887901306,
-0.05129792541265488,
-1.1212987899780273,
0.9596709609031677,
0.9919539093971252,
-0.3248242735862732,
-0.07731789350509644,
-0.22016409039497375,
-0.09327250719070435,
-0.7827759981155396,
0.15732795000... |
Definition: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Input: ['U', '6885', 'o', 's', '5425', '7023', '1835', '6141', '3829']
Output: | 31138 | 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.31652599573135376,
0.3350755572319031,
-1.631038784980774,
-0.49632418155670166,
0.02551032230257988,
-0.35711291432380676,
0.2556992173194885,
-0.27792027592658997,
-0.215096578001976,
0.01867353543639183,
-0.7357488870620728,
0.2956550717353821,
0.5868587493896484,
-0.379783034324646,
... |
Teacher:The task is to generate text based off 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 intent behind doing the event, i.e. why did the person do that action.
Teacher: Now, understand the problem? Solve this instance:... | friendship | 6 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.26987189054489136,
0.7138456106185913,
0.270815908908844,
-0.7436276078224182,
-0.518576979637146,
-0.6213201284408569,
0.5590013265609741,
0.3950487971305847,
0.5209008455276489,
-0.2143273949623108,
-0.09517480432987213,
-0.2679746448993683,
-0.6156778335571289,
0.1025540828704834,
... |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: お金は、１９９１年からエチオピアの首相であったメレス・ゼナウィ議長を含むTPLFのリーダーに与えられた。
Output: | Ang pera ay ibinigay sa mga pinuno ng TPLF, kabilang na ang tagapangulo na si Meles Zenawi, na naging Punong Ministro ng Ethiopia noong 1991. | 2 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.5658089518547058,
-0.31358325481414795,
-0.36865270137786865,
-0.16748732328414917,
0.1108148992061615,
-0.6309359073638916,
0.7282536029815674,
0.11699356138706207,
-0.015377824194729328,
0.05050290375947952,
-0.6751634478569031,
0.62514328956604,
-1.079152226448059,
0.6059528589248657... |
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".
Japanese: サハリン島には金曜日に津波警報が出されたが、すぐに解除された。
Bahasa Indonesia: Pulau Sahkalin ... | No
| 0 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.005777727346867323,
-0.17534296214580536,
0.3416106402873993,
-0.792723536491394,
-0.22407054901123047,
-0.7650705575942993,
0.4939579963684082,
0.2794313132762909,
0.012763405218720436,
-0.5417447686195374,
-0.5721949338912964,
0.28023356199264526,
-0.865572452545166,
0.180133610963821... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example Input: 私のメッセージを伝える上でこれほどセクシーで美しくカリスマ的な大型動物は他にいません
Example Output: E non c'è mega fauna migliore, più affascinante più bella e carismatica da usare come simbolo per la mia campagna.
Example Input: 不確かな運命宙ぶらりんな状態で... | Possiamo ridefinire i nostri interessi proteggendoci con l'hard power, ma allo stesso tempo organizzandoci in reti per produrre non solo beni pubblici ma modi per usare sempre di più il nostro soft power.
| 3 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.5536562204360962,
0.5648789405822754,
0.011652890592813492,
-0.5340296030044556,
-0.498534619808197,
-0.17051956057548523,
-0.34021276235580444,
0.5173393487930298,
-1.0439953804016113,
-0.8058466911315918,
-0.39607471227645874,
0.502923309803009,
-0.35833269357681274,
0.116349607706069... |
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 collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear... | u, t, l, V, b, E, S, g, a, B, 2543, 3493, 4929, 1225, 3545, 1607, 2611, 3339, 3387, 3491, 2145, 9167 | 7 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.1847718209028244,
0.03861493989825249,
-0.7404199242591858,
-0.5096427202224731,
0.17654258012771606,
-0.3534882664680481,
0.47162356972694397,
0.39043575525283813,
-0.5315826535224915,
0.4096343219280243,
-0.8297746181488037,
0.1601601541042328,
-0.013141406700015068,
-0.172464966773986... |
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those ca... | Output: A, B, C, F, J.
| 2 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.11056801676750183,
0.6847046613693237,
-0.3088015615940094,
-0.043073948472738266,
0.4576716423034668,
-0.538916826248169,
0.37574315071105957,
0.751595139503479,
-0.10914543271064758,
0.6158077120780945,
-0.5727917551994324,
0.6545236110687256,
-0.6245560050010681,
-0.15443241596221924,... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectiv... | C
| 8 | NIv2 | task190_snli_classification | fs_opt | [
-0.041470445692539215,
0.8688734769821167,
-0.22511979937553406,
-0.4489023685455322,
0.3046015202999115,
0.03793208673596382,
0.043399326503276825,
0.53595370054245,
0.653083086013794,
0.34588849544525146,
-0.06135723739862442,
-0.6942824125289917,
-0.13967512547969818,
-0.383758485317230... |
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... | b | 3 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.6283392906188965,
0.06546283513307571,
-0.6935250759124756,
-0.7489348649978638,
0.6074709296226501,
-0.6078392267227173,
1.059694766998291,
0.8872594237327576,
-0.30476003885269165,
-0.11764682829380035,
-0.2951476275920868,
0.27429473400115967,
-0.515315592288971,
0.17122697830200195,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
[EX Q]: لدينا 4000 شركة تملك أعضاء
[EX A]: Mamy 4000 firm członkowskich.
[EX Q]: سمعت قصة في تلك الليلة "" "" تمتلك إمرأة معرضا فنيا ولديها عاملون.
[EX A]: Kiedyś usłyszałam taką historię. Właścicielka galerii miała kilku pr... | Jedną z pierwszych ofiar trudnej sytuacji ekonomicznej są wydatki publiczne, a na linii ognia znalazły się publiczne wydatki na naukę, głównie tę zaspokajającą ciekawość i umożliwiającą odkrycia.
| 6 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-1.2987818717956543,
0.34090328216552734,
-0.16544680297374725,
-0.5369352698326111,
-0.2782840430736542,
0.35000836849212646,
0.7000484466552734,
-0.36973726749420166,
0.9061721563339233,
-0.013131370767951012,
-0.5223444700241089,
0.22807341814041138,
-0.5282082557678223,
0.0477324128150... |
Teacher:In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Teacher: Now, underst... | Female | 6 | NIv2 | task341_winomt_classification_gender_anti | zs_opt | [
-1.7988712787628174,
0.6801102757453918,
0.4409935176372528,
-1.0036249160766602,
0.13817015290260315,
-0.2841073274612427,
0.1342162787914276,
0.6947745084762573,
0.8431767821311951,
-0.06046195328235626,
-1.090944528579712,
-0.19159618020057678,
-0.1610632687807083,
-0.64983069896698,
... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose event record fuzzily matches to wc rio de janeiro . the maximum rank points record of these rows is 10 . the shooter record of the row with superlative rank points record is leuris pupo cub . | 6 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.24945975840091705,
-0.10323326289653778,
-0.31539881229400635,
0.26817190647125244,
0.1509985625743866,
-0.36025843024253845,
0.267694354057312,
0.49094873666763306,
0.072416290640831,
-0.15697884559631348,
-0.615308403968811,
0.3158036172389984,
0.0002911898773163557,
0.4857807755470276... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Example input: Alonzo feels angry.
Example output: male
Example explanation: The gender of the person is correct and detected mainly based on ... | female | 3 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.45269739627838135,
0.3478012681007385,
-0.3441420793533325,
-0.8825283050537109,
-0.5931376218795776,
-0.6276815533638,
1.1435986757278442,
-0.06863898038864136,
0.28060391545295715,
-0.14755192399024963,
-0.7410188913345337,
-0.27963900566101074,
-1.3726825714111328,
-0.076348327100276... |
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 -
'.... | . | 8 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.691982090473175,
0.37782666087150574,
-0.2130277007818222,
0.2950975000858307,
-0.20644749701023102,
-0.5285414457321167,
0.9148576259613037,
0.9269410371780396,
-0.6387520432472229,
-0.045157015323638916,
-0.4640464782714844,
0.18590980768203735,
-0.6110413074493408,
0.40322184562683105... |
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 Portuguese. Your job is to translate the Portuguese sentence into Italian.
Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sin... | Ci sono ingegneri, ci sono biologi cellulari, ci sono medici, lavorano tutti insieme. | 0 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.31044793128967285,
0.9417991638183594,
-0.06728766858577728,
-0.6269800662994385,
0.016234075650572777,
-0.6669881343841553,
-0.48179709911346436,
1.4042707681655884,
-0.21596430242061615,
0.1160634309053421,
-0.8083480596542358,
0.10680928826332092,
-0.18430888652801514,
0.017167299985... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข... | Solution: สัตว์เจ็ดล้านตัวถูกฆ่าอย่างทารุณและยังกระทบต่อการท่องเที่ยวอีกด้วย | 5 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
-0.281150221824646,
0.18907563388347626,
-0.7700888514518738,
0.7086026668548584,
-0.1522466242313385,
-0.5942560434341431,
-0.0005542994476854801,
0.12356961518526077,
-0.3075510859489441,
-0.3727189600467682,
-0.8642287850379944,
1.048838496208191,
-0.4250524044036865,
1.1422910690307617... |
Teacher:In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a young girl with her hand out feeding a horse'. How many words end with the letter 'a' in the sentence.
Stud... | 2 | 6 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.27541500329971313,
0.6173413991928101,
-0.2251506745815277,
-0.9782700538635254,
-1.0905141830444336,
-0.7417781949043274,
0.029363077133893967,
1.0900284051895142,
0.4579317271709442,
-0.9287392497062683,
-0.11952000856399536,
-0.007548724301159382,
0.007879562675952911,
-0.361907839775... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
El proyecto Millennium Youth Park está contribuyendo a que la gente joven participe de nuevo en la rehabilitac... | These are really the people who deserve our solidarity.
| 0 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
-0.4006428122520447,
0.49737146496772766,
0.3831964433193207,
-0.4369314908981323,
-0.2907293736934662,
-0.9196798801422119,
0.26827681064605713,
1.1390814781188965,
0.3084670305252075,
0.21895521879196167,
0.0730598196387291,
0.37567874789237976,
-0.5090346336364746,
-0.18734949827194214,... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
One example: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Solution is here: Cat hates them
Explanat... | cracked when I put it on. legs fell off in 2 weeks | 6 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
0.052270952612161636,
0.6933364272117615,
-0.2970072031021118,
-0.3950141668319702,
0.13563716411590576,
-0.44837087392807007,
0.3331420421600342,
0.018618790432810783,
-0.5244197845458984,
0.09061022102832794,
0.25256210565567017,
1.036771535873413,
-0.7858095169067383,
-0.130858778953552... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: Who killed everyone at the wedding?, Answer: Bill | 0 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.7447879314422607,
0.6890265941619873,
-0.5055994391441345,
0.005973002407699823,
0.13054558634757996,
0.5515187382698059,
1.0606937408447266,
1.1773526668548584,
0.055948205292224884,
0.18593865633010864,
0.010608892887830734,
0.04899091273546219,
-0.3076837658882141,
0.43387889862060547... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Q: English sentence: 9 And every offering of all the holy things of the Israelites which they bring to the priest shall be his.
A: | 9At ang bawa't handog na itinaas sa lahat ng bagay na banal ng mga anak ni Israel, na kanilang ihaharap sa saserdote ay magiging kaniya. | 4 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.19514736533164978,
0.5651929378509521,
-0.022402262315154076,
0.1465570330619812,
-0.7648637294769287,
-0.6718956232070923,
0.5889968872070312,
0.32283133268356323,
0.7045683264732361,
-0.2096673846244812,
0.44919395446777344,
1.106649398803711,
-1.4285023212432861,
0.27197885513305664,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.2923849821090698,
0.3521347641944885,
0.35820066928863525,
-0.36549293994903564,
-0.5711628794670105,
-0.5808918476104736,
1.1128534078598022,
0.39173465967178345,
-0.7054752111434937,
-0.454863965511322,
-0.7237576246261597,
-0.5475906133651733,
-0.6107781529426575,
0.2652321457862854,
... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Ex Input:
Paragraph: Recent results have provided incr... | True
| 1 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.1883746087551117,
0.24399228394031525,
-0.2196556031703949,
0.18451449275016785,
0.2613607943058014,
0.3102063834667206,
0.3879767060279846,
0.7367438077926636,
-0.34554246068000793,
0.076121985912323,
-0.2816852927207947,
0.8317906856536865,
0.2053397297859192,
0.4335401654243469,
-0.... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[10, 14, -18], [-50, 43, 7, 24], [18, 48]]
A... | [552160, 0, 167310, 214368]
****
| 4 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.02555680274963379,
0.2283296287059784,
-1.1996080875396729,
-0.1572374403476715,
-0.39168789982795715,
-0.6405484080314636,
1.2599694728851318,
0.608552098274231,
-0.4220413565635681,
-0.22851449251174927,
-1.1940028667449951,
0.20303010940551758,
-0.46601539850234985,
-0.113521590828895... |
In this task, you are given dvd product reviews in Japanese 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.
Example input: １~２話ではまってしまうことでしょう。 . 青の６号のキャラクターデザインが好きな人はすぐにはまってしまう作品だと思います。その他の人でも一度観たらは... | POS | 3 | NIv2 | task486_cls_japanese_dvd_classification | fs_opt | [
-0.20859979093074799,
-0.34753358364105225,
0.3612443804740906,
-0.011177086271345615,
-0.02417352795600891,
-0.08969881385564804,
0.7638317346572876,
-0.15027764439582825,
-0.25499242544174194,
-0.3647029995918274,
-0.4580393433570862,
-0.6520441770553589,
0.06929253786802292,
-0.37265551... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
[EX Q]: Category: HOLIDAYS AND OBSERVANCES
Clue: The name of this Jewish holy day means "begi... | saudi arabia & jordan
| 6 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
0.0852644219994545,
1.0631481409072876,
-0.14366306364536285,
-0.06622837483882904,
-0.44185662269592285,
-0.1469765603542328,
0.8761657476425171,
0.05600336939096451,
0.5777842402458191,
-0.18232040107250214,
-0.6096179485321045,
0.23781463503837585,
-1.0048580169677734,
-0.17203658819198... |
Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Input: Consider Input: L’événement n’a pa... | Output: Czeck
| 2 | NIv2 | task1370_newscomm_classification | fs_opt | [
0.04574330896139145,
0.2644837498664856,
0.37832310795783997,
0.3590930104255676,
0.24260930716991425,
0.04461885243654251,
0.22411376237869263,
1.230983853340149,
0.10820454359054565,
-0.0004512224695645273,
-0.31997227668762207,
0.04104698449373245,
-0.6951903104782104,
-0.27216440439224... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | other
| 7 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.0661165863275528,
-0.2851666212081909,
-0.30316075682640076,
0.40318065881729126,
0.5226811170578003,
-0.23906101286411285,
0.5173882246017456,
0.7005680799484253,
-0.20916545391082764,
0.44303226470947266,
0.038642413914203644,
0.3460589349269867,
-0.7117922902107239,
-0.53172671794891... |
Detailed Instructions: Translate the given Spanish text to English
Problem:Device detects these imperfections in real time.
Solution: | El dispositivo detecta estos defectos en tiempo real. | 8 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.038293663412332535,
0.691412091255188,
-0.6854809522628784,
0.019272346049547195,
-0.5014448761940002,
0.03113376349210739,
0.48077186942100525,
0.7029556035995483,
0.09764496982097626,
0.292540580034256,
-0.12406511604785919,
-0.22781714797019958,
-0.1587923765182495,
0.566097378730773... |
Teacher: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) ... | Does a Naturally Occurring rev1-vpu Fusion Gene Confer a Fitness Advantage to HIV-1? | 2 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.2876531481742859,
0.1795492172241211,
-0.26013416051864624,
-0.26494982838630676,
0.6017337441444397,
-0.4442203640937805,
0.3341835141181946,
0.6867339611053467,
-0.27909886837005615,
-0.1077529564499855,
-0.3763798475265503,
-0.041737474501132965,
-0.8718527555465698,
0.488680899143219... |
Part 1. Definition
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.
Part 2. Example
JkbloNUq, nYblowj
Answer: b, j, k, l, n, o, q, u
Explanation: Here, 'JkbloNUq' is the longer s... | a, b, d, e, f, g, h, j, k, m, n, o, r, v, w, z | 7 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.04056546092033386,
1.135594129562378,
-0.526716947555542,
-0.8777309656143188,
0.21663081645965576,
0.005110079422593117,
0.8108724355697632,
0.008949974551796913,
-0.1301279217004776,
0.4111473560333252,
-0.17914731800556183,
-0.1929653435945511,
-0.3961294889450073,
0.0283292122185230... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Example: Comment: i am just sorry that kha... | Solution: Toxic | 5 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.48955267667770386,
0.5830245018005371,
0.6857923865318298,
-0.10989715158939362,
-0.06463734060525894,
-0.677645206451416,
1.0456863641738892,
0.18641218543052673,
0.5346135497093201,
0.6606217622756958,
-0.2522362470626831,
-0.11357495933771133,
-0.9469202160835266,
-0.650585949420929,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. 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 c... | A family of three dogs are playing. | 8 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.4666926860809326,
0.6852726936340332,
0.35230767726898193,
-0.8029341101646423,
0.017369773238897324,
-0.7969116568565369,
-0.43077918887138367,
0.9129050970077515,
0.08599121123552322,
-0.5417228937149048,
-0.7005645036697388,
-0.13243669271469116,
-0.8027847409248352,
-0.6181120872497... |
Teacher: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What ... | False | 2 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.20831170678138733,
0.03247923031449318,
-0.1499243676662445,
-0.43832460045814514,
0.3474411964416504,
-0.20059838891029358,
-0.10076554864645004,
1.4172067642211914,
-0.2219952493906021,
0.5682350397109985,
-0.823214054107666,
0.3074267506599426,
0.1500740498304367,
0.19805996119976044... |
Definition: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: And they went from Hor-hagidgad, and pitched in Jotbathah.
Output: | هارون کاهن برحسب فرمان خداوند به جبل هور برآمده، در سال چهلم خروج بنیاسرائیل از زمین مصر، در روز اول ماه پنجم وفات یافت. | 2 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.28356269001960754,
0.6451835632324219,
-0.3986971080303192,
-0.06973053514957428,
-0.1038842424750328,
-0.3146539330482483,
0.5826004147529602,
0.2834126353263855,
1.1661005020141602,
-0.16005945205688477,
-0.9270063638687134,
0.5364235043525696,
-0.4685283899307251,
-0.1528109759092331,... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in parti... | Threat | 5 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.9131275415420532,
1.048039436340332,
0.45146888494491577,
0.3096385896205902,
0.01243802160024643,
-0.5367879867553711,
1.094851016998291,
0.7917503714561462,
0.5541902780532837,
-0.12115882337093353,
-0.1172807365655899,
0.0015237671323120594,
-0.5694305300712585,
-0.5822191834449768,
... |
Detailed Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable ... | एक बैग है ब द्वारा पेश एक बैग. | 8 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.3885878324508667,
0.45418500900268555,
0.005782741121947765,
0.2672170102596283,
-0.16065281629562378,
-0.5489764213562012,
0.29055172204971313,
1.1004464626312256,
-0.30301517248153687,
-0.5992347002029419,
-1.157618761062622,
-0.06646914780139923,
-0.08873169124126434,
0.1825507581233... |
Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input:... | donuts | 3 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.1463083028793335,
0.5432849526405334,
0.09785184264183044,
-0.4184170961380005,
-0.13918372988700867,
-0.4020443558692932,
0.6245715022087097,
0.7901667356491089,
-0.18686869740486145,
-0.03376033157110214,
0.23680377006530762,
-0.021311484277248383,
-0.22722578048706055,
-0.49492275714... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
-0.1758914291858673,
0.2262800931930542,
0.18444180488586426,
-0.20926699042320251,
-0.5553364753723145,
-0.2553115785121918,
1.2958382368087769,
0.15425804257392883,
-0.35712504386901855,
-0.4096255898475647,
-0.3342282176017761,
-0.22277364134788513,
-0.6556696891784668,
0.38908722996711... |
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.
Input: Consider Input: पर्यावरण स्नेही, आधुनिक तंत्रज्ञानाने संपन्न वातावरणात आपण सर्व नव भारतासाठी आपले सर्वोत्तम योगदान द्यावे, जास्तीत जास्त प्रयत्न करा... | Output: آئی ایم کلام ( ہندی ) نیلا مادھب پانڈا کی زیرِ ہدایت بنی ہوئی فلم
| 2 | NIv2 | task989_pib_translation_marathi_urdu | fs_opt | [
-0.5580129623413086,
0.9578086137771606,
-0.4427347183227539,
-0.6478221416473389,
-0.559944748878479,
-0.9153215289115906,
-0.15800181031227112,
0.5226289629936218,
0.48662927746772766,
-0.08590267598628998,
-0.13997432589530945,
0.34310704469680786,
0.31335240602493286,
-0.29762446880340... |
Given the task definition and input, reply with output. In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be ... | what they won't truly see again? | 5 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.8250060081481934,
1.12235689163208,
0.30607450008392334,
0.28996741771698,
-0.1297835111618042,
-0.047611966729164124,
0.09775620698928833,
0.45248985290527344,
0.23907774686813354,
0.2452111542224884,
-0.3028615713119507,
0.3389913737773895,
-0.5687234401702881,
0.17684714496135712,
... |
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 list.
Example: ['2... | Solution: 1, 11, 12, 14, 16, 17, 20, 29, 30, 31, 33, 34, 35, 38, 39 | 5 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.26286906003952026,
-0.05782657116651535,
-0.41037696599960327,
-0.07179867476224899,
0.38080698251724243,
-0.7514308094978333,
1.0080269575119019,
0.19843211770057678,
-0.6170187592506409,
-0.014709051698446274,
-0.43623125553131104,
-0.26782166957855225,
0.047886788845062256,
0.12616163... |
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].
Example input: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive... | yes | 3 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.5759314298629761,
0.0679764598608017,
0.05412903055548668,
0.22845618426799774,
0.29419851303100586,
-0.6304500699043274,
0.9582619667053223,
0.3100953698158264,
0.025659607723355293,
0.4419575035572052,
0.03378481790423393,
0.3134261965751648,
-0.3591625690460205,
0.28990644216537476,
... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Input: Pokazuję to, ponieważ — nie są tu sponsorem, prawda? — ponieważ w pewnym sensie to jest prymitywna wersja naszego mitu założycielskiego.
Output: | Ve la mostro perché — non sono sponsor, vero? — perché, a modo suo, è una versione grossolana della nostra storia. | 2 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-1.1221665143966675,
0.3193722069263458,
0.10207671672105789,
-0.13328766822814941,
-1.0945205688476562,
-0.35417836904525757,
0.8100520968437195,
0.5130221843719482,
0.47449812293052673,
-0.22394850850105286,
-0.5207141637802124,
0.4197007715702057,
-0.04830529913306236,
0.240576356649398... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Tamén precisamos enerxía. | يجب أن يكون لدينا طاقة. | 0 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.6457278728485107,
1.1549121141433716,
0.3433278799057007,
-1.6552963256835938,
-0.4442794919013977,
-0.5606163144111633,
1.092599630355835,
-0.4447871148586273,
0.16974696516990662,
-0.04204227775335312,
-0.6193757057189941,
-0.4798682928085327,
-0.940475344657898,
0.08914840221405029,
... |
In this task, you need to reverse the order of words in the given sentence.
Q: Sentence: a living room with a piano in it and carpeted floors
A: | floors carpeted and it in piano a with room living a | 4 | NIv2 | task376_reverse_order_of_words | zs_opt | [
-0.1539425253868103,
1.2188892364501953,
-0.8720526695251465,
-0.08672845363616943,
-0.11867464333772659,
-0.48555564880371094,
0.04619196802377701,
0.31706684827804565,
-0.22029316425323486,
0.6504137516021729,
0.27761125564575195,
1.1286242008209229,
-0.7505985498428345,
0.07153980433940... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
A photo series on the popular Humans of New York Facebook page may have w... | Nervous flyers should stop reading now. ABC News reports an American Airlines co-pilot was arrested Saturday morning at Detroit Metropolitan Airport after allegedly showing up for work drunk. The unnamed pilot was was acting strangely and was reported by TSA, according to the New York Daily News. Officials say he was g... | 0 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.7021993398666382,
0.10056216269731522,
-0.19782498478889465,
-0.23359715938568115,
0.9997643828392029,
-0.10957907140254974,
1.1875439882278442,
0.6865405440330505,
-0.36750829219818115,
0.5455973148345947,
0.022713087499141693,
0.4617455005645752,
-0.2750084400177002,
0.5425406694412231... |
TASK DEFINITION: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their p... | 4b, 1c
| 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.18231016397476196,
0.4659707248210907,
-0.19001489877700806,
0.17470452189445496,
0.47943270206451416,
0.07361441850662231,
0.36145639419555664,
1.1390876770019531,
-0.08688978850841522,
0.061193324625492096,
-0.2604345381259918,
0.18349102139472961,
0.06337609142065048,
-0.2757819890975... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
See one example below:
Problem: Category: WHO'S BUYING?
Clue: YouTube, ... | drei | 4 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.7163022756576538,
0.6136257648468018,
-0.0749724954366684,
-0.17512214183807373,
-0.17950552701950073,
0.5055549144744873,
0.6313841342926025,
0.19555959105491638,
-0.013149838894605637,
0.03824123740196228,
-0.029587650671601295,
-0.02220941334962845,
-0.30143412947654724,
-0.340412467... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Title: The Medicine. Sentence 1: Sally wasn't feeling well... | Soon they had it under control and her house was saved! | 0 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.2602701187133789,
1.3089802265167236,
0.3583323359489441,
-0.9057543277740479,
-0.13999205827713013,
-0.569062352180481,
0.5231462717056274,
0.7370991706848145,
0.41879627108573914,
-0.286779522895813,
-0.650999903678894,
0.2734869718551636,
-0.026691414415836334,
0.27445507049560547,
... |
The provided file includes inquiries about restaurants in Japanese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking fo... | show me the best rated restaurants | 4 | NIv2 | task262_spl_translation_ja_en | zs_opt | [
-0.3731688857078552,
0.40842702984809875,
0.27443796396255493,
0.10286353528499603,
0.03521476686000824,
-0.5875155925750732,
0.7965993285179138,
0.4362773001194,
-0.3095102310180664,
-0.3431900441646576,
0.60428786277771,
0.47346365451812744,
-0.5761738419532776,
0.6354453563690186,
0.4... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the li... | Numbers Win | 0 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.10072783380746841,
0.3789255619049072,
-0.6750705242156982,
-0.0034680545795708895,
-0.3630012571811676,
-0.6664601564407349,
0.3701307475566864,
-0.2077551782131195,
-0.1358872652053833,
0.11090601980686188,
-1.1446540355682373,
0.26030322909355164,
-0.05473940074443817,
0.3405542969703... |
Detailed Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is g... | None | 9 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.3643478453159332,
0.5093696713447571,
0.1305873990058899,
-0.700553834438324,
0.37094032764434814,
-0.6116889119148254,
0.4759315848350525,
0.7057533264160156,
0.761512041091919,
-0.09217660129070282,
-0.4987258315086365,
-0.4553424119949341,
-0.5308369398117065,
0.07879409193992615,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [46, 166, -58, 16.0, -58, 20.0]
| 1 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.7810473442077637,
0.4266376197338104,
-0.09978653490543365,
-0.08756519854068756,
0.18130403757095337,
-0.0110474256798625,
1.1114293336868286,
0.11189773678779602,
-0.23306570947170258,
0.26151561737060547,
-0.8572746515274048,
-0.23187854886054993,
-0.5725424289703369,
-0.418471217155... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Podem ver o objeto dentro do aquário. | Widać imitację w akwarium. | 0 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.7216006517410278,
0.6834890246391296,
-0.428087055683136,
-0.33543503284454346,
-0.19727492332458496,
-0.01563001424074173,
0.11243701726198196,
-0.7263555526733398,
0.8118758797645569,
-0.1916470229625702,
-0.051420822739601135,
-0.2861049771308899,
0.016149872913956642,
0.348853528499... |
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".
One example: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
Solution is here: Yes
Explanation: We need to check if... | No | 6 | NIv2 | task566_circa_classification | fs_opt | [
-0.5386690497398376,
0.3480881452560425,
-0.08685563504695892,
0.02186378836631775,
-0.2585776150226593,
-0.31249746680259705,
0.5813348293304443,
0.6760870814323425,
0.4778057336807251,
-0.19523616135120392,
-0.6672983765602112,
-0.2613714933395386,
-0.6784707903862,
-0.23473909497261047,... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
[Q]: Abstract: Exonic splicing enhancers (ESEs) facilitate exon definition by assisting in the recruitment of splicing factors to the adj... | no
| 5 | NIv2 | task1587_scifact_classification | fs_opt | [
0.7848235368728638,
-0.1429263949394226,
-0.24541673064231873,
1.1131715774536133,
0.7230406403541565,
-0.4115679860115051,
1.2127723693847656,
1.0651917457580566,
-0.06830921769142151,
0.9506146907806396,
-0.22778970003128052,
0.035798121243715286,
0.0014659841544926167,
0.280078351497650... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | Output: non-personal
| 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.40990501642227173,
-0.013505479320883751,
0.13315722346305847,
0.6801088452339172,
-0.31940123438835144,
0.027236182242631912,
0.08700605481863022,
0.3424781858921051,
-0.5618298053741455,
-0.05472426116466522,
-0.4522727131843567,
-0.4427969455718994,
-0.2590200901031494,
-0.7144374847... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
--------
Question: [header] How to wear a sport coat [title] Learn the difference between a sport c... | A
| 7 | NIv2 | task1389_hellaswag_completion | fs_opt | [
1.0570619106292725,
-0.22263211011886597,
-0.6923229694366455,
0.6216676235198975,
0.14392304420471191,
0.0871664434671402,
0.7370727062225342,
0.7671042084693909,
-0.31306785345077515,
-0.42638063430786133,
-0.5527558922767639,
0.04323422163724899,
-0.46581512689590454,
0.1054965406656265... |
instruction:
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
question:
where will that be located?
answer:
There is no location information for "grab coffee".
question:
Also, ... | I've put that on your calendar. Your status is set to Unknown.
| 9 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
-0.6262247562408447,
0.3423537313938141,
0.14709904789924622,
-0.9006296396255493,
-0.41778993606567383,
-0.9509093761444092,
0.6156669855117798,
-0.1686837077140808,
0.3857550024986267,
-0.14206787943840027,
0.06180308014154434,
-0.4549073576927185,
-0.5652474164962769,
-0.184755727648735... |
Detailed Instructions: 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).
Q: Shame on you Mr Bertinotti!
A: | ¡Avergüéncese, Señoría! | 9 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.09937641769647598,
0.9424537420272827,
0.2859376072883606,
-0.3391537666320801,
0.5437799692153931,
-1.1003844738006592,
0.6857330799102783,
0.009880566038191319,
0.06838652491569519,
-0.6517353653907776,
-0.6761080026626587,
0.6082167625427246,
-1.1997380256652832,
0.25150325894355774,... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that an employee who did not present evidence that she could have returned to work prior to the expiration of her fmla leave allowance was not entitled to additional leave merely because her employer had not properly provided her with notice that the leave was designated as fmla leave | 0 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.05949457362294197,
0.4028298258781433,
0.1528249979019165,
0.1421215534210205,
0.37772053480148315,
-0.7424559593200684,
-0.36463555693626404,
1.1001029014587402,
0.09993299841880798,
-0.13843242824077606,
-0.5648753046989441,
0.16610479354858398,
-0.11812427639961243,
0.0776673853397369... |
instruction:
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
question:
Topic: We should ban private military companies<sep>Argu... | True
| 9 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
-0.1465257853269577,
0.3320947289466858,
-0.2571120262145996,
-0.02729130908846855,
-0.4440324306488037,
-0.4692714214324951,
0.8227005004882812,
0.43734171986579895,
0.2787785232067108,
0.20016220211982727,
-0.16309387981891632,
0.028026767075061798,
-0.17556215822696686,
-0.7412479519844... |
Part 1. Definition
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sente... | False | 7 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.35213515162467957,
-0.08323122560977936,
0.09984000027179718,
0.2766353487968445,
0.501933217048645,
-0.695789635181427,
0.5406148433685303,
0.977243959903717,
-0.030187644064426422,
0.19828873872756958,
-0.40577343106269836,
-0.3588256537914276,
-0.46908068656921387,
-0.0579510554671287... |
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.
Ex Input:
Then, he went 12-2 with a 1.47 ERA and 99 K in 123 IP in the LMB season to take the pitching Triple Crown there as well, the firs... | Valenzuela
| 1 | NIv2 | task330_gap_answer_generation | fs_opt | [
0.29547375440597534,
0.011171581223607063,
-0.576073169708252,
0.9923340082168579,
0.48195409774780273,
-0.7837908864021301,
0.2420416623353958,
0.8476174473762512,
-0.5655850172042847,
0.3632882833480835,
-0.37503647804260254,
0.9665544033050537,
-0.5037508010864258,
-0.9249086380004883,
... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Example: Passag... | Solution: switch | 5 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.7142689824104309,
0.16517221927642822,
-0.2135283648967743,
-0.3481218218803406,
0.15524068474769592,
0.10714507848024368,
1.1091341972351074,
1.4129233360290527,
-0.19965407252311707,
0.5664401054382324,
0.1333596408367157,
-0.1838696300983429,
-0.4520268142223358,
0.1848534345626831,
... |
Q: 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).
हालांकि, उसने चौथे दौर में तीसरी वरीयता प्राप्त जेलेना जानकोविओक और विम्बल... | However, she progressed to the final by defeating third seed Jelena Janković in the fourth round and Justine Henin in the semifinals in one of the major upsets of Wimbledon history. | 7 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.4739943742752075,
0.7042264938354492,
0.4131240248680115,
-0.3171587586402893,
0.5360137224197388,
0.013579517602920532,
0.854545533657074,
0.05991119146347046,
0.051294002681970596,
-0.3717571198940277,
-0.4376280903816223,
0.7950162291526794,
-0.49026766419410706,
-0.3832537829875946,... |
In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
--------
Question: Question: Sarah drückte den Knopf am Griff und nahm einen Schluck. Was benutzt... | C
| 7 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | fs_opt | [
0.006227282341569662,
0.9409643411636353,
-0.2837160527706146,
-0.4735587239265442,
-0.5516980886459351,
-0.35727185010910034,
1.4880610704421997,
0.7401273250579834,
0.40697234869003296,
-0.41441166400909424,
0.2671809196472168,
0.2101787030696869,
-0.9189046621322632,
-0.3874014616012573... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
One example: Beginning: ... | 2 | 6 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.001287240069359541,
0.4071316719055176,
0.2615944743156433,
-0.17830780148506165,
-0.441026508808136,
-0.38625383377075195,
0.29710525274276733,
1.0174378156661987,
-0.024706456810235977,
0.09045201539993286,
-0.4258047938346863,
0.1012490838766098,
-0.012431987561285496,
-0.45805168151... |
Q: In this task, you are given a list of integers in a random order. You need to return the same list of integers in the reverse order.
[144, 18, 20, 224, 233, 257, 77, 273, 195, 64, 129, 81, 182, 251, 288, 103, 17, 279, 243, 205]
A: | [205, 243, 279, 17, 103, 288, 251, 182, 81, 129, 64, 195, 273, 77, 257, 233, 224, 20, 18, 144] | 7 | NIv2 | task1331_reverse_array | zs_opt | [
-0.9797655940055847,
0.6574946641921997,
0.11087634414434433,
-0.3959723711013794,
-0.44354885816574097,
-0.18537458777427673,
0.8770993947982788,
-0.3013681173324585,
-0.11303620040416718,
0.36499089002609253,
-1.3959240913391113,
0.5869566202163696,
-0.09624505043029785,
-0.0960730761289... |
Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Input: و مثل [دعوتکننده] کافران چون مثل کسى است که حیوانى را که جز صدا و ندایى [مبهم، چیزى] نمىشنود بانگ مىزند. [آرى،] کرند، لالند، کورند. [و] درنمىیابند.
Output: | The semblance of the infidels is that of a man who shouts to one that cannot hear more than a call and a cry. They are deaf, dumb and blind, and they fail to understand. | 3 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.5036123394966125,
0.856475830078125,
-0.4562217891216278,
-0.22052010893821716,
-0.36189645528793335,
0.28029510378837585,
0.174685999751091,
0.07999294996261597,
-0.24159836769104004,
0.509311318397522,
-0.6835350394248962,
0.018544383347034454,
-1.095771312713623,
-0.16918814182281494... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 少年らの親族は昨夜、カナダの軍事基地の入口前に回答を求めて集まった。
Student: | សាច់ញាតិរបស់ក្មេងប្រុសនេះបាននៅមាត់ទ្វារមូលដ្ឋានយោធាកាណាដា កាលពីយប់មិញកំពុងត្រូវការចម្លើយ។ | 6 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
0.3623272180557251,
0.23525366187095642,
-0.6523451209068298,
-0.7014184594154358,
-0.5203543901443481,
-0.5574568510055542,
1.21274733543396,
0.6573888063430786,
-0.21505461633205414,
-0.36703312397003174,
-0.6369039416313171,
0.4752241373062134,
-1.0708993673324585,
0.19455081224441528,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Q: પ્રધાનમંત્રીએ જણાવ્યું હતું કે,નેશનલ સ્પોટર્સ ડે નિમિત્તે હું તમામ રમતવીરો તથા રમતપ્રેમીઓને અભિનંદન પાઠવું છું જેમણે અત્યંત ઉત... | He will inaugurate, and lay the foundation stone, of several major highway projects. The total outlay on these projects is estimated to be over Rs. | 9 | NIv2 | task1080_pib_translation_gujarati_english | zs_opt | [
-0.6820504069328308,
-0.16834756731987,
-0.3795523941516876,
-0.36764758825302124,
0.1333039104938507,
-0.838921070098877,
0.2618752717971802,
-0.9308626055717468,
-0.3161841034889221,
-0.7366257309913635,
-0.13598045706748962,
0.2783007025718689,
-0.4228999614715576,
0.1716056764125824,
... |
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".
As they looked on, the Jet Ranger slowed and made a wide turn around the... | Past | 7 | NIv2 | task429_senteval_tense | zs_opt | [
-0.6885590553283691,
0.5880849957466125,
0.3225422203540802,
0.11119735240936279,
0.31010153889656067,
-0.42677831649780273,
0.4429645240306854,
0.7319231033325195,
0.11026181280612946,
-0.04610563814640045,
0.11484077572822571,
-0.09830504655838013,
-0.31938138604164124,
-0.17852684855461... |
Part 1. Definition
This task is about translating a given English language sentence to French.
Part 2. Example
How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Answer: Comment devrions nous inscrire l'intention sur tous les objets que nous créon... | Chaque paire se positionne, un char devant l'autre, en faisant une petite colonne. | 7 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.44244760274887085,
0.6839678287506104,
0.6500627398490906,
0.0816790908575058,
0.520254909992218,
-0.630914568901062,
0.5895987749099731,
-0.34380269050598145,
0.42597222328186035,
-0.29935696721076965,
-0.09591127932071686,
0.5003839731216431,
-0.10071712732315063,
-0.127858966588974,
... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Stereotype
| 6 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.07755659520626068,
0.26107773184776306,
0.050818681716918945,
0.3434140980243683,
-0.09625590592622757,
0.336659699678421,
0.44085001945495605,
0.9998248815536499,
-0.06573355197906494,
-0.14576110243797302,
-0.5713719725608826,
-0.46196720004081726,
-0.45415374636650085,
-0.00657922402... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
توجد هذه الدعامة في أقل من نصف الطريق نحو قمة الشجرة. | התמך מצוי בפחות ממחצית הדרך במעלה העץ. | 0 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.8789317607879639,
0.29501819610595703,
-0.0946929007768631,
-0.3856383264064789,
-0.7430233955383301,
0.27466529607772827,
0.781414270401001,
0.47671520709991455,
0.5866037607192993,
-0.6003476977348328,
-0.6573010683059692,
-0.28299498558044434,
-0.5909715890884399,
0.5117212533950806,... |
Instructions: 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: The government asks Yang Hu Yun (Sun Chien) to escort a cargo of gold to a famine stricken area. ... | Answer: A man. | 3 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.6113557815551758,
0.2302720695734024,
-0.6480383276939392,
-0.44075143337249756,
0.43086469173431396,
-0.41939863562583923,
0.556010365486145,
1.0418137311935425,
-0.4936864972114563,
0.5067046880722046,
-0.33670973777770996,
-0.4099293649196625,
-0.41483163833618164,
0.195021852850914,
... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Ex Input:
Lara hate... | house
| 1 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
-0.17798620462417603,
0.9543771147727966,
-0.41801905632019043,
-0.0036354693584144115,
-0.15052425861358643,
0.15176169574260712,
0.225275456905365,
0.9248511791229248,
0.01270858570933342,
-0.2564781904220581,
-0.015575317665934563,
0.4957728385925293,
-0.40872758626937866,
-0.7481279373... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Example Input: Así que el imperio puede contraatacar.
Example Output: Imperium może kotratakować.
Example Input: Lo pueden ver en la cerámica y la cestería.
Example Output: Widać to na wyrobach garncarskich i koszach.
Exa... | Nasz klient nie chciał balkonów, i podczas spotkania z nowym akustykiem dowiedzieliśmy się, że sala miała odpowiedni kształt.
| 3 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.03370524197816849,
1.7215327024459839,
-0.2380637228488922,
0.009329861029982567,
-0.12019848078489304,
-0.7553391456604004,
0.5359528064727783,
0.3221229314804077,
0.19317618012428284,
-0.47788071632385254,
-0.02551766112446785,
0.7148098945617676,
-0.3539126515388489,
-0.1796123832464... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: AG Jeff Sessions says he doe... | who is jeff sessions alleged to have spoken with about his meeting with the russian ambassador? | 0 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.6208328008651733,
-0.04068686068058014,
0.08453861624002457,
-0.2379477620124817,
0.15266139805316925,
0.08988356590270996,
-0.11346542835235596,
-0.4311683773994446,
0.40013372898101807,
0.2750689685344696,
0.1937466412782669,
0.4570189118385315,
-1.1464669704437256,
0.1713052988052368... |
Instructions: In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: ['n', 'q', '6051', 'Y', 'N', 'j', '3469', '6505', 'O', '415', 'F', '9787', 'R', ... | 14, 17, 6051, 25, 14, 10, 3469, 6505, 15, 415, 6, 9787, 18, 6595, 7731, 1, 22, 7559, 4563, 21, 20, 19, 7, 9875, 4897, 10, 381, 25, 17, 1, 24, 1861, 22, 19, 6061, 10, 10, 9655 | 3 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.4910905063152313,
0.7441854476928711,
0.3850875496864319,
-0.632673978805542,
0.18846121430397034,
-0.5316528081893921,
-0.19836406409740448,
0.09517543762922287,
0.3912268579006195,
0.29587435722351074,
0.062290918081998825,
0.3192656636238098,
-0.07296688854694366,
-0.385625422000885,... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | production company | 0 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.018818257376551628,
0.07019946724176407,
0.5305697917938232,
-0.16787007451057434,
0.13448753952980042,
0.019509170204401016,
-0.028548695147037506,
0.5573003888130188,
-0.48271870613098145,
0.13330303132534027,
-0.08315582573413849,
-0.019354941323399544,
-0.31551843881607056,
-0.672937... |
Given the task definition and input, reply with output. In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the la... | No | 5 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
-0.167475625872612,
-0.06288521736860275,
-0.2680734694004059,
0.4842049479484558,
-0.12440597265958786,
-0.20508481562137604,
0.6057122945785522,
0.5656932592391968,
0.027903378009796143,
-0.11440551280975342,
-0.3854168653488159,
0.035911839455366135,
-0.016672581434249878,
-0.3418980836... |
Teacher: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Teacher: Now, understand the problem? If you are still confused, see the following example:
అనేకవింతపురాణములు భారత... | You all take it easy next time. | 2 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.2350783795118332,
0.8297464847564697,
0.5606497526168823,
-0.1815342754125595,
-0.0054865023121237755,
-1.3153021335601807,
-0.1351706087589264,
0.3184346556663513,
-0.5806649327278137,
-0.7591387629508972,
-0.23644638061523438,
-0.3790300488471985,
-0.44315505027770996,
-0.427926421165... |
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Example solution: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Example explanation: The le... | Solution: a chair aad umbrella oa a saady beach | 5 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.17784851789474487,
0.7373942136764526,
-0.6180751323699951,
-0.8225116729736328,
0.005782158114016056,
-0.9512555599212646,
0.15068954229354858,
0.20604684948921204,
0.45632219314575195,
-0.4159703254699707,
-0.37020865082740784,
-0.1975110024213791,
-0.24172434210777283,
-0.668361246585... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.