inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['m', '7747', 'Y', 'l', 'a', '7721', 'M', '6065', '519', '2285', 'x', 'W', '4209', '3949', '5043', '6895'] | 44433 | 0 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.05303528904914856,
0.8507741093635559,
-0.14928729832172394,
-1.1871731281280518,
-0.47513502836227417,
0.04589240252971649,
-0.2111528068780899,
-0.05892325937747955,
-0.2670277953147888,
-0.37562423944473267,
-0.7526041269302368,
0.2835575342178345,
-0.03257320448756218,
-0.05656442046... |
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.
[EX Q]:... | day Antonym morning
| 6 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.13376864790916443,
0.4790157377719879,
0.5452907085418701,
-0.1941661238670349,
0.15081645548343658,
-0.47174084186553955,
0.6159024834632874,
0.26303786039352417,
-0.5426249504089355,
-0.5738208293914795,
-0.5036404728889465,
-0.2852393388748169,
-0.5603111386299133,
-0.1018907725811004... |
Teacher: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: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individua... | red_bucket | 6 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.06860258430242538,
-0.11754681169986725,
-0.5561268329620361,
-0.5264732837677002,
-0.27383673191070557,
-0.5878649950027466,
0.5245399475097656,
0.451099157333374,
0.26696306467056274,
-0.8346611261367798,
-0.21957702934741974,
0.3796789050102234,
0.20659811794757843,
-0.26849460601806... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | algebra
| 0 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.07503597438335419,
0.18926787376403809,
-0.18150198459625244,
-0.17965778708457947,
0.11148019134998322,
0.33072030544281006,
0.3812018036842346,
0.6971017122268677,
0.25305938720703125,
-0.4849756062030792,
-1.1074905395507812,
0.06851992011070251,
-0.4941616654396057,
-0.01375623885542... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Person | 4 | NIv2 | task1289_trec_classification | zs_opt | [
-0.26152995228767395,
-0.24284884333610535,
0.19838421046733856,
-0.058862242847681046,
-0.17662590742111206,
-0.8080114126205444,
0.2271314561367035,
-0.053167663514614105,
0.10538378357887268,
0.16537652909755707,
-0.6325395107269287,
0.027069836854934692,
-0.42851758003234863,
-0.015906... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Non hai nada malo cun pouco de silencio nunha charla, non si?
قليل من الصمت لا يضر
Entre os xenes que activa están os antioxidantes; xenes que chamo doadores-de-cenoria, cuxos produtos proteicos axudan a outras proteínas... | فبعد السنكلير ZX80 جاء ما سمي بذكاء سينكلير ZX81
| 0 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.49677807092666626,
0.21834249794483185,
-0.6566643118858337,
-0.7079405784606934,
-0.9095363616943359,
-0.5446653366088867,
0.815833330154419,
0.15286165475845337,
0.529020369052887,
-0.05338316783308983,
-0.9145158529281616,
-0.3989756107330322,
-1.3557331562042236,
0.1285519301891327,... |
Teacher: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'.
Teacher: Now, understand the problem? Solve this instance: Problem: at what rate percent per annum will the simple interest o... | a | 6 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.006462210789322853,
0.6827436685562134,
-0.39892399311065674,
-0.32574620842933655,
-0.3447810411453247,
-0.9467164278030396,
0.6269768476486206,
0.8494603633880615,
-0.053092338144779205,
0.03716186434030533,
-0.763370931148529,
0.11749802529811859,
-1.011786699295044,
-0.37094181776046... |
Instructions: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: DeVries did make one stop in town Wednesday - registering as a sex offender at the Soledad Police Department ., Sentence2: Convicted child moleste... | No | 3 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.02145724557340145,
0.25344395637512207,
-0.27221351861953735,
-0.15112905204296112,
-0.5902745127677917,
-0.44443026185035706,
0.1661897450685501,
0.7550950050354004,
0.5264191031455994,
0.11108332872390747,
-0.531731128692627,
0.17666427791118622,
0.09386739134788513,
-0.47841584682464... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
One example: Isto inclúe un sistema en árabe chamado al-jebra.
Solution is here: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated into Italian,... | Non è corretto, non è sicuro e non è sostenibile. | 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
0.0016941530629992485,
1.2607029676437378,
0.04538432136178017,
0.11470218002796173,
-0.5600588321685791,
-0.9634606838226318,
1.1135057210922241,
0.6398761868476868,
-1.0835074186325073,
-0.1400446891784668,
-0.579963207244873,
-0.06480955332517624,
-0.912395179271698,
0.20387817919254303... |
TASK DEFINITION: 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 e... | No emotion,No emotion,No emotion,No emotion,surprise,No emotion,No emotion,No emotion,happiness,happiness
| 8 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.25685274600982666,
-0.05721120536327362,
-0.41491764783859253,
-0.13924475014209747,
0.44815003871917725,
-0.7085458636283875,
1.073872447013855,
-0.09695912897586823,
-0.10134813189506531,
-0.04039917141199112,
0.018238680437207222,
-0.4112880825996399,
-0.2352384626865387,
0.3755605816... |
Given the task definition and input, reply with output. 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 individua... | I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_JUMP | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
-0.02392587438225746,
0.941830039024353,
-0.3712134063243866,
0.36104393005371094,
0.09046497195959091,
0.023888379335403442,
0.081491619348526,
0.23595161736011505,
-0.17959296703338623,
-0.38154366612434387,
-0.8305020332336426,
-0.30136826634407043,
-0.49435365200042725,
-0.218330711126... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.5730404853820801,
0.25323086977005005,
-0.05031295120716095,
-0.24085304141044617,
-0.49714195728302,
-0.721224308013916,
1.5418553352355957,
0.10303215682506561,
-0.2785189151763916,
-0.8174033164978027,
-0.12784361839294434,
-0.25096845626831055,
-0.6490564346313477,
0.2236033082008361... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use ph... | His mother thinks it is dangerous >Causes> His mother feel(s) worried | 4 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.7177953720092773,
0.005323413293808699,
-0.45443588495254517,
-0.17209148406982422,
0.04774675890803337,
-1.197441816329956,
0.7779756784439087,
0.8938047885894775,
-0.4825608730316162,
0.2746613621711731,
-0.35982340574264526,
0.8512009382247925,
-0.19944648444652557,
-0.215208828449249... |
Detailed Instructions: Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'Entails, HasProperty, Synonym, Antonym, HasA, MemberOf, PartOf, MadeOf, IsA'. Let's denote the first word by X and the second word by Y. An 'IsA' relation holds when 'X is a kind of Y'. An 'A... | Synonym | 9 | NIv2 | task1429_evalution_semantic_relation_classification | zs_opt | [
0.7078279256820679,
0.12023889273405075,
0.637406587600708,
0.15883991122245789,
-0.4317300319671631,
-0.28012025356292725,
0.18846753239631653,
1.0672504901885986,
0.23751422762870789,
-0.3530823588371277,
-0.5670071244239807,
0.4096090495586395,
-0.08586114645004272,
0.13811422884464264,... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
One example: Says the Annies List politica... | abortion | 6 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.16634970903396606,
0.13702881336212158,
-0.011532333679497242,
0.3072492480278015,
-0.4988267421722412,
-0.7106611728668213,
0.5599716305732727,
0.24073603749275208,
-0.10892896354198456,
0.49188917875289917,
-0.7774139642715454,
0.2514064908027649,
-0.5012530088424683,
-0.08167942613363... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
[EX Q]: Vouvos dar a resposta.
[EX A]: خوب ، جوابش را برايتان مى گويم.
[EX Q]: O noso libro sagrado, o Corán, consta de 114 capítulos, e cada capítulo comeza co que chamamos a basmala, dicimos: no nome de Deus, o Clem... | و بعد می گوید: « مگر من سگ هستم که با چوبدستی هایت به سراغم می آیی ؟ » داوود فقط یک چوبدست دارد اما او دو تا می بیند.
| 6 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.3207906484603882,
0.8344109058380127,
-0.09977636486291885,
-0.763532817363739,
-0.11078676581382751,
-0.6983587741851807,
0.8342531323432922,
-0.01267775148153305,
-0.19835594296455383,
-0.0323653370141983,
-0.9740946292877197,
0.5088314414024353,
-1.0464234352111816,
0.245096459984779... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Q: The porter reaches for the door.
A: | She runs down the steps. | 4 | NIv2 | task455_swag_context_generation | zs_opt | [
0.9848103523254395,
1.6203761100769043,
-0.8149697780609131,
0.6899981498718262,
-0.8952187299728394,
0.06317903846502304,
-0.5708267688751221,
-0.08416850864887238,
0.5011125802993774,
0.44151410460472107,
0.24267295002937317,
0.6578393578529358,
-0.8287522196769714,
0.34591835737228394,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Q: Walsingham: Majestad. Por favor, dignidad. Piedad.
A: | Walsingham: Maestà. Vi prego, contegno. Pietà. | 9 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.349609375,
0.9325268268585205,
0.10855375975370407,
-0.5157604217529297,
-0.7567632794380188,
-1.1248986721038818,
0.3411197066307068,
0.022938180714845657,
0.13461503386497498,
-0.45144063234329224,
0.15729165077209473,
0.5524046421051025,
-0.2502184808254242,
-0.4474639296531677,
1.... |
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 Persian, and your task is to translate it into English.
برای مثال، یک دانشجوی روس فعال در زمینه سیاست به نام کیریل گونچارف (Kirill Goncharov)، در صفحه فیسبوک خود ذات غیر سلسله مراتبی برکناری مرسی را ا... | For example, Kirill Goncharov , a Moscow student involved in youth politics, was particularly impressed with what he saw as the non-hierarchical nature of Morsi's removal, writing on his facebook : | 1 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.9597482681274414,
0.28097641468048096,
0.36980199813842773,
-0.6721959114074707,
-0.05171511322259903,
0.36243945360183716,
0.913878858089447,
0.4344785213470459,
0.5045333504676819,
0.417412132024765,
0.11397608369588852,
-0.26320913434028625,
-0.3367111086845398,
0.21747618913650513,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Example: Placa motora es la unión entre la neurona motora y el
Output: Motor plate is the union between t... | What enzyme is present in complex II that participates in oxidative phosphorylation? | 1 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
-0.26183098554611206,
0.10668158531188965,
0.15457560122013092,
0.129423126578331,
0.07299983501434326,
-0.6490910053253174,
-0.026540957391262054,
0.8368715047836304,
0.410213828086853,
-0.22513048350811005,
0.0312315933406353,
0.6539984941482544,
0.23386861383914948,
-0.20328065752983093... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT
| 0 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.289412021636963,
0.33254408836364746,
0.8086575269699097,
0.5823133587837219,
-0.4685239791870117,
-0.7211284637451172,
0.5073153376579285,
0.4707995355129242,
0.660990834236145,
0.34761086106300354,
0.09420779347419739,
-0.07830069959163666,
-0.09417702257633209,
-0.6626168489456177,
... |
Instructions: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: How many no At what building do Olympic athletes train?
Output: | At what building do Olympic athletes train? | 3 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.18607942759990692,
0.3999790549278259,
-1.1550790071487427,
0.2667507529258728,
-0.3748231828212738,
0.08811398595571518,
-0.09404026716947556,
0.286297082901001,
0.4345497488975525,
-0.8137974739074707,
-1.3363935947418213,
-0.994260311126709,
-0.5934062600135803,
-0.26857680082321167,... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
--------
Question: Sentence1: i also want a taxi to commute between the two places Sentence2: That's it for now. Thank you for you patient help. Goodbye. Sentence3: book a hotel for 7 people... | Answer: (A) User
| 7 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.5946968793869019,
0.6871572136878967,
-0.6537529230117798,
-0.44763681292533875,
0.26205217838287354,
-1.0787873268127441,
0.5931540727615356,
0.99834805727005,
-0.20389096438884735,
-0.2564529478549957,
-0.26319223642349243,
0.48096248507499695,
-0.45605188608169556,
0.11337932199239731... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Tienen una de las tasas de alfabetización más altas en América Latina y del mundo.
A: | יש להם את אחד משיעורי האוריינות הגבוהים ביותר באמריקה הלטינית ובעולם. | 4 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.3907776474952698,
0.708113431930542,
0.5530492067337036,
0.07581927627325058,
-0.2852582335472107,
-0.3997265100479126,
0.20130841434001923,
0.5721566677093506,
0.4912606477737427,
0.0516631081700325,
-0.37905508279800415,
-0.44104093313217163,
-0.7226540446281433,
0.21270614862442017,
... |
Given the task definition, example input & output, solve the new input case.
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Example: Will this remove the property from city taxes?
Output: No
The comment here is just a normal question without any indecent wor... | Yes | 1 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.8604699969291687,
0.48284271359443665,
0.6539044380187988,
0.8605682849884033,
0.5911914110183716,
-0.3968967795372009,
0.14317026734352112,
1.193570852279663,
0.3167186975479126,
0.5513431429862976,
-0.16553613543510437,
-0.12256589531898499,
-0.006311922334134579,
-0.7432225942611694,... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | Output: Yes
| 2 | NIv2 | task496_semeval_answer_generation | fs_opt | [
-0.1596607118844986,
1.151864767074585,
0.5977016091346741,
0.3351168632507324,
-0.443085253238678,
-0.524450421333313,
-0.21805986762046814,
0.6179686188697815,
0.3735466003417969,
-0.026975076645612717,
-0.5553191304206848,
0.45275449752807617,
-0.4717809557914734,
-0.04500994086265564,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
One example: Comment: your posts shows you are stupid period
Solution is here: Insult
Explanati... | Insult | 6 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.8132311105728149,
0.8474665880203247,
0.7828550934791565,
0.1460808366537094,
0.08668159693479538,
-0.20603781938552856,
0.8944032192230225,
0.6642571687698364,
0.5150262117385864,
0.28374549746513367,
-0.04983877018094063,
0.4017769396305084,
-0.3852313756942749,
-0.7019520998001099,
... |
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
| 1 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.3155863285064697,
0.006171777844429016,
0.12305055558681488,
0.1235477402806282,
-0.7102813720703125,
-0.8460167050361633,
0.8570963144302368,
0.4691184461116791,
-0.47818315029144287,
-0.34889161586761475,
-0.7199074029922485,
-0.4871169328689575,
-0.637851357460022,
0.33684641122817993... |
Teacher:You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambi... | fear | 6 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.7809334397315979,
-0.04448399692773819,
0.44488584995269775,
-0.7014632225036621,
-0.47178158164024353,
-0.7283856272697449,
0.4088824987411499,
1.0797767639160156,
-0.020907435566186905,
-0.26165980100631714,
-0.2581107020378113,
0.06417245417833328,
-0.42099446058273315,
-0.1519690901... |
Instructions: 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".
Input: Article: russian stock prices surged friday following a brief suspension in trading , with the ruble-denominat... | yes | 3 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.0275304317474365,
0.26472368836402893,
0.03785475343465805,
0.9263573884963989,
-0.20374643802642822,
0.3392801284790039,
0.2627057433128357,
1.3992986679077148,
0.3428959846496582,
-0.3381200134754181,
-0.5843667387962341,
-0.13684988021850586,
-0.6255496740341187,
-0.00270790699869394... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
13, ['d', 'w', '9029', '3491', '1831', 'J', '3259', '53', 'N', '4375', '4581', 'R', 'd', '6259', 'T', 'm', '6035', ... | 6259, T, m, 6035, 1169, z, 3493, 987, F, R, r, S, 1749, 5443, J, 241 | 0 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.456051230430603,
0.47933703660964966,
-0.36626994609832764,
-0.7186218500137329,
-0.7970030307769775,
0.08739277720451355,
0.6847220659255981,
-0.1511572301387787,
-0.532987654209137,
0.1128053218126297,
-0.7761430740356445,
-0.3591722249984741,
-0.0897425189614296,
-0.1536133587360382,
... |
Detailed Instructions: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Problem:He hits a bowling ball with a croquet mallet and then hold up a bowling ball with a big 8 on it. A woman with a large chalice
Solution: | is in the same field talking. | 8 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.8591520190238953,
0.8575546145439148,
-1.1223806142807007,
0.7440390586853027,
0.07617208361625671,
-0.03515570983290672,
-0.3298758864402771,
0.182757169008255,
0.00737532926723361,
-0.8635704517364502,
-0.36888644099235535,
0.6463918685913086,
-0.1688755750656128,
-0.3410828709602356,
... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 2 | 4 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.1641247272491455,
0.4222196340560913,
-0.026866840198636055,
-0.2370254546403885,
0.2362791746854782,
0.25995537638664246,
0.7457346320152283,
1.3374624252319336,
0.20917081832885742,
0.2925069332122803,
-0.46183300018310547,
-1.1973834037780762,
-0.6156319975852966,
-0.0452935956418514... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Q: In this novel, the protagonist c... | Literature | 4 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.706636905670166,
1.0507811307907104,
0.2903721332550049,
-0.5946066379547119,
-0.1293429285287857,
0.4845251441001892,
-0.45546624064445496,
0.527749240398407,
0.37035804986953735,
0.025797143578529358,
-0.3456364870071411,
-0.08507639914751053,
-0.6195206642150879,
-0.6065090298652649,... |
You will be given a definition of a task first, then some input of the task.
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its ... | Neutral | 1 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.6536645889282227,
0.08962839841842651,
0.40077656507492065,
-0.02620617300271988,
0.20790794491767883,
0.1124320924282074,
0.5140066742897034,
0.2338491976261139,
0.09286196529865265,
0.1644248515367508,
0.38573193550109863,
0.22898337244987488,
-0.40543174743652344,
-0.3525855243206024... |
Part 1. Definition
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Part 2. Example
Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the British Commonwealt... | Croatia | 7 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
1.1951251029968262,
0.08230293542146683,
-0.3557617664337158,
-0.3861815333366394,
0.6369339823722839,
-0.8349016904830933,
0.4456322193145752,
0.41454628109931946,
-0.9965028762817383,
0.38179662823677063,
0.3754982352256775,
0.24469506740570068,
-0.47253090143203735,
0.4375564754009247,
... |
Given the task definition and input, reply with output. In this task, you are given a question in English, and your task is to translate it into Persian.
What I can sell on amazon.in?
| چه چیزی را می توانم در amazon.in بفروشم؟ | 5 | NIv2 | task652_parsinlu_en_fa_translation | zs_opt | [
-0.22176030278205872,
0.2358304262161255,
0.3063509464263916,
0.32037824392318726,
-0.022849811241030693,
0.5610299706459045,
-0.1730715036392212,
0.17083756625652313,
0.10246037691831589,
0.4296984374523163,
-0.22668962180614471,
1.0652945041656494,
-0.10738001763820648,
-0.29226148128509... |
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.
Q: ['j', '5781', '3941', 'D', '3319', '5437', '9711', '8005', 'Y', '6351', '8849', '4817', '1047']
A:... | 10, 5781, 3941, 4, 3319, 5437, 9711, 8005, 25, 6351, 8849, 4817, 1047 | 4 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.5024353861808777,
0.4944589138031006,
0.19117006659507751,
-0.6567802429199219,
-0.024060968309640884,
-0.17270715534687042,
-0.24687863886356354,
-0.053370337933301926,
0.23542815446853638,
-0.28894364833831787,
-0.11446778476238251,
-0.20229050517082214,
-0.04967576637864113,
-0.19968... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [158, 183, 249, 132, 36, 120] | 0 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-0.7087228894233704,
0.17926770448684692,
-0.037121862173080444,
-0.15279638767242432,
0.23930010199546814,
0.14990538358688354,
1.0585336685180664,
0.2295708954334259,
-0.2374182641506195,
0.3690974712371826,
-0.697113037109375,
0.093504898250103,
-0.35389718413352966,
-0.3981294631958008... |
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 given in t... | None | 3 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.857159435749054,
0.41051462292671204,
-0.13214761018753052,
-0.6022061109542847,
0.15820522606372833,
-0.1330425888299942,
0.5528792142868042,
0.3854474127292633,
0.23706874251365662,
-0.1619739830493927,
-0.26231056451797485,
-0.3852252960205078,
-0.5996912717819214,
0.1232753247022628... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given 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: the first is when the individual's belief match... | red_drawer | 0 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
-0.03504655510187149,
0.03019884042441845,
-0.23895308375358582,
-0.2597483694553375,
-0.15718190371990204,
-0.08245651423931122,
0.8716153502464294,
0.5349011421203613,
0.05991072207689285,
-0.1193602904677391,
-0.014974336139857769,
0.3968978226184845,
0.15342485904693604,
0.244057863950... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm... | [36.5, -26.0, -68.5] | 9 | NIv2 | task124_conala_pair_averages | zs_opt | [
-1.2870697975158691,
0.12505121529102325,
-0.6213776469230652,
-0.4631563723087311,
-0.06091894209384918,
0.3237447142601013,
0.7272958755493164,
0.3470988869667053,
0.045143067836761475,
-0.21177217364311218,
-0.5904436111450195,
-0.08801772445440292,
0.03004276752471924,
0.40171384811401... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | Megan was astounded to find a bird that was thought to be extinct. | 8 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.26252463459968567,
0.7020531892776489,
-0.36548912525177,
-1.0352952480316162,
-0.48515909910202026,
0.14005330204963684,
0.3912713825702667,
0.5366363525390625,
-0.28916648030281067,
-0.5857826471328735,
-0.5447804927825928,
0.14724226295948029,
0.2735385298728943,
0.09754903614521027,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: At the same time, however, I am asking for it to ... | Jag begär emellertid att man på denna parallellt skall ta upp både frågor som förbättrar och fullbordar reformen av - och jag upprepar det - alla institutioner och frågor som direkt berör och intresserar de europeiska medborgarna. Som till exempel hälsa, energi, kultur, transport och till och med turism. | 9 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
0.056774623692035675,
0.44963568449020386,
0.23375356197357178,
-0.31002557277679443,
0.07430022954940796,
-0.7461457848548889,
0.7753483057022095,
0.4873362183570862,
-0.09954248368740082,
0.21812082827091217,
0.34178751707077026,
0.4170430898666382,
-0.7662376165390015,
-0.24636721611022... |
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... | a | 2 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.2840616703033447,
-0.15159863233566284,
-0.11170559376478195,
0.7203422784805298,
0.2927582561969757,
-0.15169361233711243,
0.048643261194229126,
1.0133357048034668,
0.13576669991016388,
0.3888165354728699,
-0.8910871744155884,
0.4157256782054901,
-0.017381204292178154,
-0.23472753167152... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: پس او را در حالى که ناخوش بود به زمین خشکى افکندیم!
A: | So We cast him, sick, on a barren shore, | 9 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
0.2142016440629959,
1.2806103229522705,
-0.2598826587200165,
-1.1328192949295044,
-0.08253050595521927,
-0.5981177687644958,
0.7312562465667725,
0.06096092611551285,
0.4210664629936218,
0.9426394104957581,
-0.7586503028869629,
0.41300883889198303,
-0.6758182644844055,
0.5473573207855225,
... |
Definition: 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 ... | personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.9191808700561523,
-0.08539281040430069,
0.29308998584747314,
0.6125621199607849,
-0.4750974178314209,
0.05648627504706383,
0.27329927682876587,
-0.20297011733055115,
-0.17187729477882385,
-0.578449010848999,
-0.5849729776382446,
0.15736308693885803,
0.169416144490242,
-0.008133165538311... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
question:
Papá, que era un académico, non tiña nin idea que a Mike 's Hard Lemonade contivera alcol.
answer:
学者であった父親は「マイクのハードレモネード」がお酒だとは知らず
question:
que se levou a cabo en xaneiro de 2002.
answer:
2002年... | 自覚しているかは別として語り手たちはメッゲンドルファーの精神を受け継いで歌劇を演劇に進展させラジオニュースをラジオ劇に写真を動画にそして音声カラー ３Dの映画を VHSやDVDに収めたのです
| 9 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.025506854057312,
-0.0030954056419432163,
-0.31487399339675903,
-0.2909590005874634,
-0.47169527411460876,
-0.0013037188909947872,
1.0522902011871338,
-0.08745492994785309,
0.38147178292274475,
-0.24771645665168762,
-0.2382460981607437,
-0.5886974334716797,
-0.9332151412963867,
0.4134465... |
You will be given a definition of a task first, then some input of the task.
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.
['8999', '3', 'i', 'B', '9555', 'w', 'O', '... | i, B, w, O, E, h, u, q, q, q, Y, p, K, A, a | 1 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.2265894114971161,
0.4394049644470215,
-0.3050007224082947,
-0.28196287155151367,
0.0125052435323596,
0.04098713397979736,
0.2768993377685547,
-0.10399800539016724,
-0.21633392572402954,
0.48146721720695496,
-0.47720852494239807,
-0.13617853820323944,
0.5494763255119324,
-0.3588928580284... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['1', '7', '7', '2', 'I'], ['1', '7', '7', '2', 'T'], ['1', '7', '7', 'I', 'T'], ['1', '7', '2', 'I', 'T'], ['1', '7', '2', 'I', 'T'], ['7', '7', '2', 'I', 'T']] | 9 | NIv2 | task208_combinations_of_list | fs_opt | [
0.14427873492240906,
0.23693375289440155,
-0.6235718727111816,
0.22063139081001282,
0.6448919773101807,
-0.6818721890449524,
0.38908034563064575,
1.322888970375061,
-0.4100535809993744,
0.09777596592903137,
-0.11840632557868958,
-0.06239752098917961,
-0.0654572993516922,
-0.331070542335510... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 4.
| 7 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.45715123414993286,
-0.41308772563934326,
-0.80913245677948,
-0.14760176837444305,
0.6060945987701416,
-0.25745177268981934,
1.0948151350021362,
0.5828657746315002,
-0.2907605767250061,
0.07557792961597443,
-0.6266680359840393,
0.33013975620269775,
-0.8355405330657959,
-0.1694055944681167... |
Q: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
who was the leader of vietnam during ... | Ho Chi Minh | 7 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.31954625248908997,
-0.00974702462553978,
-0.2637482285499573,
-0.26907771825790405,
-0.45338720083236694,
-0.6676310300827026,
1.3520536422729492,
1.0251927375793457,
0.08543969690799713,
0.20257040858268738,
-0.7608411312103271,
0.4487142860889435,
-0.6110543012619019,
0.07800743728876... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
[EX Q]: ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଥିଲେ ଯେ ସରକାର ଉପକୂଳ ସୁରକ୍ଷା ଉପକରଣର ଆଧୁନିକୀକରଣ କରୁଛନ୍ତି । ଏଥିପାଇଁ ଦେବଭୂମି ଦ୍ଵାରିକାରେ ଏକ ସଂସ୍ଥାନ ପ୍ରତିଷ୍ଠା କରାଯିବ ବୋଲି ସେ ଉଲ୍ଲେଖ କରିଥିଲ... | यह निर्णय लिया गया कि दोनों देशों में हो रहे आर्थिक विकास और सुधारों के संबंध में जागरूकता बढ़ाने के लिए व्यापार शिष्टमंडल भेजा जाएगा और व्यापार प्रदर्शनियों, मेलों, सम्मेलनों तथा अन्य व्यावसायिक आयोजनों के बारे में सूचना का नियमित आदान-प्रदान होगा।
| 6 | NIv2 | task986_pib_translation_oriya_hindi | fs_opt | [
-0.20882833003997803,
0.06758061051368713,
-0.1628759205341339,
-0.048194676637649536,
-0.4227633476257324,
-0.8432563543319702,
0.8650885820388794,
0.39284536242485046,
-0.6166553497314453,
-0.018942564725875854,
-0.619815468788147,
-0.09810205549001694,
-0.08697576075792313,
0.3084899485... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
See one example below:
Problem: Person1: Passport , please , madam .
Person2: Just a minute , p... | 1 | 4 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
-0.08484525978565216,
0.24847283959388733,
-0.4609280824661255,
0.34475111961364746,
0.3867921233177185,
-0.6388932466506958,
0.44352084398269653,
0.5618661642074585,
0.032304055988788605,
-0.07180601358413696,
-0.5520925521850586,
-0.36717087030410767,
-0.3321918845176697,
-0.044925920665... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Yes | 0 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.16412575542926788,
0.28434768319129944,
-0.15480108559131622,
0.45586729049682617,
-0.599808394908905,
-0.5994079113006592,
0.30447590351104736,
0.8113794326782227,
-0.29932230710983276,
0.03501629829406738,
-0.5669868588447571,
-0.0006643409142270684,
-0.26286596059799194,
0.2675485610... |
Given the task definition, example input & output, solve the new input case.
Given a premise and two alternatives in Marathi, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The premise is the 'विधान' field and the alternatives are the 'पर्याय A' and 'पर्याय B'... | पर्याय B | 1 | NIv2 | task942_copa_mr_commonsense_reasoning | fs_opt | [
-0.4844968616962433,
0.5646767020225525,
-0.025551963597536087,
0.11067614704370499,
-0.42860469222068787,
-0.26250123977661133,
0.37273865938186646,
1.1025161743164062,
0.22516757249832153,
0.4589518904685974,
-0.7610831260681152,
0.011108439415693283,
0.19125589728355408,
-0.219783052802... |
Detailed Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect to... | Another phenomena associated with collision and subduction of the plates is earthquakes . | 8 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.07572121918201447,
0.727642834186554,
-0.5189327001571655,
-0.35220980644226074,
-0.6665189266204834,
-0.7064626216888428,
-0.06540645658969879,
1.0718483924865723,
-0.4208400249481201,
-0.13264164328575134,
-0.8458350896835327,
0.7497049570083618,
-0.7048864364624023,
0.2977812290191650... |
Given the task definition and input, reply with output. In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated b... | love this tile for shower . | 5 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.5215836763381958,
1.0268683433532715,
-0.03901875019073486,
0.3609941005706787,
-0.12671111524105072,
-0.6191169023513794,
-0.10131385922431946,
0.8236639499664307,
-0.2963745892047882,
-0.18152080476284027,
-0.3449646830558777,
0.2884604334831238,
-0.2676893472671509,
-0.12269266694784... |
instruction:
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
question:
M: How about joining me for a c... | In Italy.
| 9 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.5104789733886719,
-0.06843428313732147,
-0.285493940114975,
-0.3981952667236328,
0.01769164577126503,
-0.0623849555850029,
0.5113493800163269,
0.18809913098812103,
-0.08861240744590759,
-0.05162184685468674,
0.12757502496242523,
0.47035282850265503,
-0.03563113510608673,
0.30512279272079... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | yes
| 1 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.3953535854816437,
0.13340821862220764,
-0.15497808158397675,
-0.2305697798728943,
0.6730065941810608,
-0.4501439929008484,
0.8992732763290405,
1.4161409139633179,
-0.13413439691066742,
0.03491199389100075,
-0.16508880257606506,
0.668840229511261,
-0.8295431733131409,
0.08613210916519165,... |
Given the task definition and input, reply with output. In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence ... | B_contradicts_A | 5 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
-0.9895364046096802,
0.620640754699707,
0.26500290632247925,
-0.017316564917564392,
-0.4666100740432739,
0.04472145065665245,
-0.322942316532135,
0.6518856287002563,
0.2657492756843567,
-0.16583800315856934,
-0.6337836384773254,
-0.055810295045375824,
0.42758846282958984,
-0.25099396705627... |
Detailed Instructions: You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Enter... | 5 | 8 | NIv2 | task1593_yahoo_answers_topics_classification | zs_opt | [
0.1771019995212555,
0.09090152382850647,
0.033089496195316315,
0.2700945734977722,
0.27603209018707275,
-0.09697343409061432,
-0.21710923314094543,
0.29827287793159485,
0.14818894863128662,
-0.07900645583868027,
0.37570661306381226,
0.6410970091819763,
-0.23079735040664673,
-0.348017334938... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
the day of the resurrection is upon us .
the day of resurrection has come .
you see technicians , you think they 're servicing it ... ... but ... | the night was bright and clear and sky-bright .
| 0 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.38907700777053833,
1.5617740154266357,
-0.09358728677034378,
-0.5506901144981384,
-0.39334625005722046,
-1.0547044277191162,
0.7267171740531921,
0.6337742209434509,
0.022323425859212875,
0.24159812927246094,
-0.483468234539032,
-0.02125740423798561,
-0.29752659797668457,
0.7613260149955... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Teacher: Now, understand the problem? If you are still confused, see the following example:
処方箋を支払う為の保険は ？
Solution: Terán seguro para pagar a receita?
Reason: The Japanese sentence is correctly translated into ... | Eu podo dicir que, aínda que deixei a carreira, | 2 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.3022370934486389,
0.6318128108978271,
0.2623683214187622,
-1.23691987991333,
-0.20037779211997986,
-1.5262887477874756,
0.520277738571167,
0.8545659184455872,
0.28004568815231323,
-0.10356166213750839,
0.04837341606616974,
0.24974460899829865,
-0.8378255367279053,
0.340206503868103,
0... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | У тебя будет программа, потому что ты можешь быть со многими из своих подразделений.
| 6 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.15793272852897644,
0.2002657651901245,
-0.0668274313211441,
-0.49243736267089844,
-0.8524578213691711,
-0.5547463893890381,
0.8461222052574158,
1.6313691139221191,
-0.08254823833703995,
-0.05783159285783768,
-0.8523968458175659,
-0.0749448910355568,
-0.35345223546028137,
0.73654264211654... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Lamentablemente, el uso excesivo de la palabra "" asombroso "" ha remplazado a palabras como "" genial "" y "" gracias "". El diccionario Webster define la palabra "" awesome "" [asombroso] como una mezcla de miedo y admi... | Niestety, regularne nadużywane słowo "" niesamowite "" zastąpiło takie określenia jak "" świetnie "" i "" dziękuję "". Według słownika Webstera, "" awesome "", czyli "" niesamowite "", to odczucie strachu połączone z podziwem lub czcią, wywołane czymś majestatycznym. | 4 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.9248384237289429,
0.5730382204055786,
0.4843124449253082,
-0.40334951877593994,
-0.26981019973754883,
-1.98892343044281,
0.13977009057998657,
-0.4143739938735962,
0.12229646742343903,
-0.5723486542701721,
-0.14664128422737122,
0.31059545278549194,
-0.5026169419288635,
-0.051062315702438... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | CC | 0 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.11891873180866241,
0.7185513973236084,
-0.10595874488353729,
1.091521978378296,
-0.2547547519207001,
-0.42975836992263794,
0.48875415325164795,
0.5431315898895264,
-0.38060975074768066,
0.32522815465927124,
-1.0085049867630005,
0.2754215598106384,
-0.34526169300079346,
0.0047386353835463... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap... | $50.
| 1 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.5104733109474182,
0.9241517782211304,
-0.6938996315002441,
-0.1432538628578186,
0.41469910740852356,
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0.5655292272567749,
0.588126003742218,
0.1610688716173172,
0.12147829681634903,
-0.4487292468547821,
0.8522434830665588,
-0.6737891435623169,
0.13029369711875916,
-0... |
Teacher:In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Teacher: Now, understand the problem? Solve this instance: The baby p... | effect | 6 | NIv2 | task828_copa_commonsense_cause_effect | zs_opt | [
-0.6677072048187256,
0.6541712284088135,
-0.015005623921751976,
-0.9837026596069336,
-0.40300673246383667,
-0.1743800789117813,
-0.26684901118278503,
1.3210514783859253,
0.6572268009185791,
0.036996956914663315,
-0.5605412125587463,
-0.034312903881073,
-0.8160988092422485,
-0.6453101038932... |
Part 1. Definition
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Part 2. Example
केन्द्रीय सड़क परिवहन और राजमार्ग, नौवहन, रसायन और उर्वरक राज्य मंत्री श्री मनसुख मंडाविया ने कहा कि नागरिकों के लाभ के लिए प... | دیگر پسماندہ زمروں کے لئے قبل میٹرک وظائف یعنی پری میٹرک اسکالر شپ کے لئے آمدنی کی حد44500 سے بڑھاکر 2. | 7 | NIv2 | task1053_pib_translation_hindi_urdu | fs_opt | [
-0.29338422417640686,
-0.3301027715206146,
0.2907331585884094,
-0.23133014142513275,
0.27170896530151367,
0.1377163529396057,
0.3040420413017273,
0.8381956815719604,
-0.45554840564727783,
-0.09966402500867844,
-0.5633783936500549,
-0.1978318691253662,
-0.27908605337142944,
-0.5233542919158... |
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.
--------
Question: Category: THE UNITED NATIONS
Clue: In 1971 this future secretary-general wa... | lawton chiles
| 7 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.2934606075286865,
0.7522162795066833,
-0.1660430133342743,
-0.3279612958431244,
-0.2794351279735565,
0.5016411542892456,
1.2047688961029053,
0.25296950340270996,
0.4729834794998169,
0.12862494587898254,
-0.3475380837917328,
0.37520885467529297,
-0.9065559506416321,
-0.08460821211338043,... |
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 Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise g... | no | 0 | NIv2 | task273_europarl_classification | fs_opt | [
-0.4507715404033661,
0.4747370481491089,
0.5623879432678223,
0.8031373620033264,
0.3856412172317505,
-0.38294047117233276,
1.0258042812347412,
-0.3696960210800171,
0.41903796792030334,
0.1359778344631195,
0.30174338817596436,
0.6554862260818481,
-0.16828230023384094,
0.584009051322937,
0... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: I, that have been zany in cap and bells for a strolling variety show
A: | منی که با زنگوله و کلاه، دلقک یک سیرک سیار بودم؛ | 9 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.024789834395051003,
1.164825677871704,
-0.29280319809913635,
-0.06109603866934776,
-0.3426726460456848,
0.02704012207686901,
0.23831306397914886,
0.09091371297836304,
-0.8237930536270142,
0.4146513342857361,
-0.3985181450843811,
0.4080829918384552,
-0.9314735531806946,
-0.23336221277713... |
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? If you are still confused, see the following example:
Article: australia 's current ... | yes | 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.1622021496295929,
-0.3384212255477905,
0.0015384824946522713,
0.35532382130622864,
0.07426685094833374,
-0.30379194021224976,
-0.010293540544807911,
0.7930687069892883,
-0.5991485118865967,
0.12649640440940857,
-0.05163370817899704,
0.3492956757545471,
-0.3668574094772339,
0.21484985947... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Prowadzi to do wielkiej szansy, jaką jest druk 3D. | וזה מוביל אותנו לאחד מהיתרונות הגדולים של הדפסת תלת ממד. | 0 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-1.2761427164077759,
0.40338873863220215,
0.2458803951740265,
-0.4202214479446411,
-0.5986922979354858,
1.521167516708374,
0.8544167280197144,
-0.47282958030700684,
0.8244265913963318,
-0.6813889741897583,
-0.46318602561950684,
0.6178147196769714,
-0.17998771369457245,
0.1970219612121582,
... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
One example is below.
Q: North Willingham is a village and civil parish in the West Linds... | Same Old Lang Syne is a song written and sung by Dan Fogelberg released as a single in 1980. | 9 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.7380956411361694,
0.774936318397522,
0.24078300595283508,
-0.3635205924510956,
0.32223209738731384,
-0.9587808847427368,
0.5170236825942993,
1.0307037830352783,
-0.6855894327163696,
0.267363965511322,
-0.3881117105484009,
0.4722750782966614,
-0.9482663869857788,
-0.14339730143547058,
0... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
[EX Q]: What 's missing in Murder by Numbers is any real psychological grounding for the teens ' deviant behaviour ... | NEG
| 6 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.66810542345047,
-0.07818672060966492,
0.39977267384529114,
-0.6337318420410156,
-0.24223467707633972,
-0.8717520236968994,
0.9588527679443359,
0.31660664081573486,
-0.4084967374801636,
0.3960198163986206,
-0.6703516840934753,
-0.909013032913208,
-0.14495603740215302,
-0.0009052140521816... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | mulching. | 0 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.3541175127029419,
1.0187588930130005,
0.05181627720594406,
-0.0114033417776227,
-0.37741637229919434,
-1.4371800422668457,
0.034501295536756516,
0.2325124889612198,
-0.21515846252441406,
0.24422073364257812,
-1.214512825012207,
0.5543583035469055,
-0.3941279649734497,
0.2632113993167877,... |
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... | Energy is passed up the food chain or web from producers to whom? | 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.34622496366500854,
0.9010516405105591,
-0.05524366721510887,
-0.17751401662826538,
-0.6996195316314697,
-0.9973868727684021,
0.472319096326828,
1.000463604927063,
0.0881744772195816,
-0.2589690387248993,
-1.3885509967803955,
0.32351067662239075,
-0.4615427851676941,
-0.1370963454246521,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a passage, 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 no... | reached | 1 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.026195868849754333,
0.53566575050354,
-0.009534932672977448,
0.38375091552734375,
-0.11546123027801514,
0.17259708046913147,
0.15333765745162964,
0.29187166690826416,
0.32932746410369873,
0.49036386609077454,
-0.33422768115997314,
0.13778501749038696,
-0.27936649322509766,
0.252140402793... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
این در دنیایی که ما در آن بالاترین شکل از مواد هستیم به چه معناست ؟
A: | 私たちが最も進化した存在であるこの宇宙でこれは何を意味するのでしょう ？ | 7 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.6799931526184082,
1.1162850856781006,
0.364602655172348,
0.4826662838459015,
-0.3231412172317505,
0.3348689377307892,
0.050954461097717285,
0.7348757982254028,
0.5029962062835693,
0.04237537086009979,
-0.9156176447868347,
0.6573182344436646,
-0.05385396257042885,
0.807063639163971,
1.... |
You will be given a definition of a task first, then some input of the task.
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 (... | I was not expecting to treated politely . | 1 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.06434213370084763,
0.8771026134490967,
-0.21098735928535461,
0.23803827166557312,
0.06668107211589813,
-0.7379411458969116,
0.5809211730957031,
0.21078485250473022,
0.29154592752456665,
-0.17700336873531342,
-0.3965475261211395,
-0.053003065288066864,
0.01585838571190834,
-0.17433451116... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Problem: Person1: So , did I tell you about my New Year ’ s resolution ? I ’ Ve decided to go on ... | 1 | 8 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.09825533628463745,
0.6641979217529297,
-0.04992521554231644,
-0.2654126286506653,
-0.010335206985473633,
-0.41744518280029297,
0.20405259728431702,
0.37928256392478943,
-0.10945780575275421,
-0.3752588629722595,
-0.24242812395095825,
-0.6132984757423401,
-0.435142457485199,
-0.1178237199... |
Given a sentence in German, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Generalmajor Francis Okello löste am 7. Juli 2009 Generalmajor Nathan Mugisha als Befehlshaber von AMISOM ab. | 2009 년 7 월 7 일, General Nathan Mugisha 장군은 AMISOM 지휘관으로 프란시스 오켈로 장군으로 대체되었습니다. | 0 | NIv2 | task802_pawsx_german_korean_translation | zs_opt | [
1.0701440572738647,
0.5138244032859802,
-0.8660266995429993,
-1.352848768234253,
-0.1188330426812172,
-1.4182195663452148,
-0.211410254240036,
-0.6641585230827332,
-0.047866761684417725,
0.505219042301178,
-0.08155667036771774,
-0.31009963154792786,
-1.1762733459472656,
0.6573326587677002,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: Consider Input: אז, אני חושב שהדרך של העולם להתקדם — אחת שתביא את הפיתוח החיצוני להיות בהרמוניה עם השורש האמיתי של אושר — היא להרשות למידע שיש לנו לעשות שינוי אמיתי בלב שלנו.
Output: So I think the way forward for th... | Output: It's a tablet, a simple tablet, and when I take it with water, it does miracles.
| 2 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.6997112035751343,
0.808125913143158,
0.16870781779289246,
0.19337362051010132,
-0.5173035264015198,
-0.32803699374198914,
-0.13357527554035187,
-0.2782856523990631,
0.6796197891235352,
-0.6040109992027283,
-0.2181227207183838,
0.550254762172699,
-0.8479964733123779,
-0.07961201667785645... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Example solution: 52% of computer users are Internet literate.
Example explanation: This is a good example. The above sentence is correctly translated from Persian... | Solution: Bahraini blogger Manaf Al Muhandis tweets from a sermon before Friday prayers in Bahrain, in which the preacher declares that celebrating National Day is a sin. | 5 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.9428601264953613,
0.5079261064529419,
-0.12006016075611115,
-0.3971163332462311,
-0.9590028524398804,
0.14400839805603027,
0.8739365935325623,
0.310367226600647,
0.5007065534591675,
0.13138049840927124,
-0.4144169092178345,
0.3614875078201294,
-0.6257089376449585,
0.41629889607429504,
... |
instruction:
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
question:
Statement: જુલવણીયા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટ... | ભારત
| 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.4182471036911011,
0.8090394139289856,
0.24246039986610413,
-0.10747496783733368,
-0.0672309398651123,
-0.7379508018493652,
0.25273847579956055,
1.057428002357483,
-0.763236939907074,
0.0017486773431301117,
-0.441771924495697,
0.6483862996101379,
-0.37012091279029846,
-0.5557200908660889,... |
Detailed Instructions: 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... | Identity-attack | 9 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.5254946351051331,
0.5616588592529297,
0.8137030601501465,
0.49485814571380615,
0.25605374574661255,
0.4344308376312256,
0.32323628664016724,
0.6486473083496094,
0.6114636659622192,
0.2915588915348053,
0.21729227900505066,
0.14439597725868225,
-0.0988486111164093,
-0.9931198954582214,
... |
Part 1. Definition
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.
Part 2. Example
[[5, 1, 2, 7], ... | [-8060, -2948400, 1965600, 750, -19380, 7536640, -1128, -1025] | 7 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.4237678050994873,
0.05890865996479988,
-0.9105228185653687,
-0.1764698177576065,
0.31626105308532715,
-0.20653942227363586,
1.1071701049804688,
0.6460573673248291,
-0.5443059802055359,
0.005052448716014624,
-1.2189563512802124,
-0.32154080271720886,
-0.24276691675186157,
-0.5460735559463... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
E vorrei solo condividere con voi: un giorno è venuto un giornalista.
A: | و من فقط مي خواستم اين رو با شما در ميان بذارم كه: يك گزارشگري بود كه آمد و | 7 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.31842947006225586,
1.0254461765289307,
0.09531964361667633,
0.02860778570175171,
-0.10373330116271973,
-0.40360674262046814,
0.20297357439994812,
0.9537216424942017,
0.37120962142944336,
0.33235490322113037,
-0.46689996123313904,
0.04225990176200867,
-0.28952017426490784,
0.029098697006... |
instruction:
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains inform... | 0
| 9 | NIv2 | task1541_agnews_classification | fs_opt | [
-1.0256494283676147,
-0.06795233488082886,
-0.15162141621112823,
0.5282819271087646,
-0.24798297882080078,
-0.44320279359817505,
-0.11570937931537628,
0.7799396514892578,
-0.3332875669002533,
0.48908305168151855,
-0.47652262449264526,
0.4687640070915222,
-0.4785962998867035,
-0.09147308021... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | El rojo es un color asociado con la confianza.
| 7 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.24748380482196808,
0.21429848670959473,
0.07260727882385254,
-0.4761028289794922,
-0.09919275343418121,
-0.3584175407886505,
0.45835942029953003,
1.6440510749816895,
-0.10724976658821106,
-0.37245479226112366,
-0.4851835072040558,
0.12956854701042175,
-0.5802819728851318,
-0.13728608191... |
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.
Q: Sentence: 'a man sitting in front of a laptop computer'. How many words end with the letter 'r' in the sentence.
A: 1
****
Q: Sentence: 'a group of people standing around a busted fi... | 1
****
| 4 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.17140045762062073,
0.45175257325172424,
-0.0251349825412035,
-0.7375806570053101,
-0.5008037090301514,
-0.22619390487670898,
0.8331657648086548,
0.4664151668548584,
0.602439820766449,
-0.5285519957542419,
-0.5679571628570557,
-0.45900577306747437,
-0.013360954821109772,
0.241479545831680... |
Teacher: You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ਅਮ... | ਲਾਹੌਰ | 2 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.21883012354373932,
0.30075329542160034,
0.20102757215499878,
-0.05628924444317818,
-0.09406311810016632,
-1.232398509979248,
-0.05180343613028526,
1.016641616821289,
0.30381840467453003,
0.14872722327709198,
-0.2787560820579529,
0.04410600662231445,
-0.9726346731185913,
-0.30745017528533... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | Solution: At the end of the summer, he used his earnings to go on a trip. | 5 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.13046404719352722,
0.443984717130661,
-0.17306095361709595,
-0.5153754949569702,
-0.31622591614723206,
0.12354977428913116,
0.4095308184623718,
0.7360754013061523,
-0.5093932151794434,
-0.3832193613052368,
-0.6496789455413818,
-0.06695754826068878,
0.013145430944859982,
-0.3275964558124... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Just in time, dear. Help me with this infernal body bag.
Output: | في وقتك يا عزيزتي، ساعديني في إخراج هذه الجثة. | 1 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.076979860663414,
0.6193292140960693,
0.08748206496238708,
-0.5561217665672302,
-0.34472253918647766,
0.19263887405395508,
0.63584303855896,
0.08699692785739899,
0.23033031821250916,
0.31223294138908386,
-0.23485054075717926,
-0.11045335233211517,
-0.6132277250289917,
-0.02560466155409813... |
Detailed 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.
See one example below:
Problem: ['8129', 'a', '4245', '2391', 'Y', '7569']
Sol... | 4621, 14, 11, 6089, 6265, 8, 6, 7715, 6971, 153, 14, 9287, 14, 16, 16, 787, 4905, 4057, 5005, 11, 11, 15, 9913, 9103, 9883, 14, 12 | 4 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.08966407179832458,
0.07490001618862152,
0.030831575393676758,
-0.22479692101478577,
0.025175731629133224,
-0.9361819624900818,
0.2156539112329483,
0.34721285104751587,
-0.23841945827007294,
-0.09363774210214615,
-0.2290046513080597,
-0.09228082001209259,
-0.09829560667276382,
-0.23794637... |
instruction:
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
question:
Review: I ordered a size down since I like the bands to feel snug and secure, but it was wayyyy too big. ... | False
| 9 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
-0.02194148302078247,
-0.21917109191417694,
-0.5707420110702515,
0.2868329584598541,
-0.1697753369808197,
-0.49531909823417664,
0.8799145817756653,
0.3120723366737366,
-0.3175262212753296,
0.4879223108291626,
-0.6641553640365601,
0.0986083596944809,
-0.5635170340538025,
-0.0628801435232162... |
Q: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ประชาชนนับร้อยในเมือง Bathurst ของประเทศออสเตรเลีย ใน Central-Western New South Wales ออกมาบนจุดสูงสุดของยอดเขา Panorama เพื่อชมปรากฎการณ์จันทรุปรา... | オーストラリアのニューサウスウェールズ州中西部のバサーストでは、今夜の月食を観察するために数百人がマウント・パノラマに集まっている。 | 7 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.18596187233924866,
0.3182145059108734,
-0.09971223771572113,
-0.406334787607193,
0.09814988821744919,
-0.5275934934616089,
0.6569240689277649,
0.4412965178489685,
-0.024242298677563667,
0.22604358196258545,
-0.1847706139087677,
0.7914615869522095,
-0.4371829032897949,
0.4502212405204773,... |
Given the task definition, example input & output, solve the new input case.
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [... | DISSIMILAR | 1 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.3423847556114197,
0.17668072879314423,
-0.044570133090019226,
-0.17457568645477295,
-0.05856425315141678,
-0.12082989513874054,
1.3210554122924805,
0.2913738489151001,
-0.22666004300117493,
0.10087130963802338,
-0.7203621864318848,
-0.061821725219488144,
-0.15951910614967346,
0.07747629... |
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