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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
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 The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.3113134503364563,
0.45959973335266113,
0.3394618034362793,
-0.11543641239404678,
-0.397309273481369,
-0.6778931021690369,
1.2585620880126953,
0.46237635612487793,
-0.6777238249778748,
-0.2901584506034851,
-0.5407402515411377,
-0.8336482644081116,
-0.5161730647087097,
0.32536470890045166,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Input: Consider Input: Sentence 1: Something is drawing them up from all over ... | Output: no
| 2 | NIv2 | task199_mnli_classification | fs_opt | [
-0.9665547013282776,
0.7400643825531006,
0.5571357607841492,
0.21203485131263733,
0.08927227556705475,
-0.9698728322982788,
0.060675837099552155,
0.6168909072875977,
0.03308739513158798,
0.45775699615478516,
-0.27969610691070557,
-0.5714929103851318,
-0.3049871325492859,
-0.022221229970455... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Example input: Sentence: xname is a high-priced 3 star restaurant which offers wines... | location[the Upper East Side], service[good], recommend[yes] | 3 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.5483331084251404,
0.40021246671676636,
-0.7616380453109741,
-0.050579071044921875,
-0.28691214323043823,
0.6517834067344666,
1.073001503944397,
1.0404589176177979,
0.2938762903213501,
-0.366398423910141,
0.7106242179870605,
0.4933290183544159,
-0.12055093795061111,
-0.0861249715089798,
... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Input: مستحيل في النظرية ، لكنه ممكن في الواقع.
Output: | It's impossible in theory, but possible in practice. | 2 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.2754492461681366,
0.8035303354263306,
0.476640909910202,
-0.4844415783882141,
-0.07911340147256851,
0.024225592613220215,
0.397829532623291,
0.054817408323287964,
0.8922126889228821,
-0.21122413873672485,
-1.1852374076843262,
0.05640377476811409,
0.010477589443325996,
0.0222628917545080... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to provide the correct option for a given problem from the provided options.
Problem: a marketing survey of anytown found that the ratio of trucks to sedans to motorcycles was 3 : 7 : 2 , respectively . given that there... | c | 1 | NIv2 | task1421_mathqa_other | zs_opt | [
0.07652124017477036,
-0.35182681679725647,
0.2100345492362976,
0.04629054665565491,
-0.3533674478530884,
0.13718193769454956,
0.6466907858848572,
1.2417988777160645,
0.34995073080062866,
0.4019373059272766,
-0.6849147081375122,
0.6054034233093262,
0.1534738391637802,
-0.26736006140708923,
... |
TASK DEFINITION: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
PR... | [-10, -27, -147]
| 8 | NIv2 | task207_max_element_lists | fs_opt | [
0.4727354049682617,
-0.187919482588768,
-0.9345717430114746,
0.026671383529901505,
0.07202508300542831,
0.2812933623790741,
0.9759969711303711,
0.6824285387992859,
-0.377638041973114,
0.24240107834339142,
-0.7882072925567627,
0.2448774129152298,
-0.4692259132862091,
0.21222959458827972,
... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | Yes | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.039818450808525085,
-0.2481617033481598,
0.4276929497718811,
-0.15031100809574127,
-0.2510296702384949,
-1.0727368593215942,
1.3151750564575195,
0.47408658266067505,
-0.5433987379074097,
-0.523006021976471,
-0.0395706407725811,
-0.3424127399921417,
-0.7161594033241272,
0.441447675228118... |
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 list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed b... | E, d, i, f, t, t, H, g, M, d, j, z, q, K, j, P, 6381, 795, 6255, 7233, 8645, 7731, 9061, 1369 | 0 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.43176907300949097,
-0.23141370713710785,
-0.6645437479019165,
-0.1194709837436676,
0.5439376831054688,
-0.16654670238494873,
0.5561431050300598,
0.4130791127681732,
-0.5724151730537415,
0.4412139058113098,
-0.5082390904426575,
-0.3088250756263733,
0.23952779173851013,
0.06717948615550995... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Let me give you an example: Cosa è andato storto nel 2008?
T... | 比如，尽管完全浮动的货币能带来纪律和灵活的好处，但极有可能最好的做法还是推迟完全浮动，代之以可调整（“爬行”）盯住锚货币。这能为建立信誉争取时间，更重要的是，也有助于将公债限制在可控水平。 | 8 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.44830894470214844,
0.21479099988937378,
-0.5490526556968689,
0.10851612687110901,
-0.17402729392051697,
-0.13267654180526733,
0.22850346565246582,
0.9051526784896851,
-0.36565256118774414,
0.012293199077248573,
-0.6629588603973389,
0.47047170996665955,
-0.07070966809988022,
-0.259238123... |
Teacher: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Yo... | No | 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.6687990427017212,
-0.09600085020065308,
0.17564165592193604,
-0.014177603647112846,
-0.09932994842529297,
-1.2624707221984863,
1.0276143550872803,
0.611872673034668,
-0.8198772668838501,
-0.12705591320991516,
-0.3675926923751831,
-0.4421462118625641,
-0.9244673252105713,
-0.2880922555923... |
Q: 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.
Topic: Assisted suicide should be a criminal offence<sep>Argument: Many peop... | False | 7 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.022937363013625145,
0.7646825909614563,
0.20448192954063416,
-0.6147270202636719,
-0.35031652450561523,
-0.5473788976669312,
0.5411828756332397,
0.47148311138153076,
0.29427406191825867,
0.6225494742393494,
-0.18326762318611145,
-0.33356907963752747,
-0.33703380823135376,
0.242701232433... |
Teacher:Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context,... | She arrived and was surprised to see Botox being done and nobody will ever think it looked strange. | 6 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.20540907979011536,
0.27638763189315796,
0.03827707841992378,
0.057722292840480804,
-0.3171544373035431,
-1.0633902549743652,
0.14727504551410675,
0.987823486328125,
0.21752363443374634,
0.005950017832219601,
-0.2574309706687927,
0.08596359938383102,
-0.36128026247024536,
0.10736310482025... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Arabic 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 for colloqu... | ابحث عن المطاعم الـ " japanese " التي لديها 4 نجوم على الأقل. | 0 | NIv2 | task250_spl_translation_en_ar | zs_opt | [
-0.3626958727836609,
0.5378366708755493,
0.041291750967502594,
-0.002572321565821767,
-0.0384422242641449,
-0.18007348477840424,
1.044400930404663,
0.10919319093227386,
-0.4338628053665161,
-0.13547664880752563,
0.1796392947435379,
-0.03405771031975746,
-0.5842393636703491,
0.5211704373359... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | I decide to go >Causes/Enables> I go | 3 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.574120044708252,
0.12001121789216995,
-0.1230374351143837,
-0.19244998693466187,
-0.3243613839149475,
-0.2635023593902588,
0.13776198029518127,
0.7668099999427795,
-0.7082526683807373,
-0.041326381266117096,
-0.5516365170478821,
0.7439278960227966,
-0.4000968337059021,
-0.490357458591461... |
You will be given a definition of a task first, then some input of the task.
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"... | Present | 1 | NIv2 | task429_senteval_tense | zs_opt | [
-0.03999519720673561,
0.11126463115215302,
0.7497763633728027,
0.41080325841903687,
0.2482575625181198,
-0.11334805935621262,
0.5593900680541992,
1.2667181491851807,
-0.08583305031061172,
-0.13404445350170135,
-0.6009016036987305,
-0.6035107970237732,
-0.4868149757385254,
-0.28308358788490... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Example Input: Earth is the third planet from the Sun in our solar system, which includes ____ other planets.
Example Output: seven
Example Input: Bl... | seven
| 3 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.1448419988155365,
1.1126620769500732,
-0.14034588634967804,
-0.4500423073768616,
-0.10433472692966461,
-0.8443691730499268,
0.5072948932647705,
0.4458678364753723,
-0.05702828988432884,
-0.3563101589679718,
-0.12431617081165314,
0.46551477909088135,
-0.3762040138244629,
-0.2726844847202... |
Detailed Instructions: 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.
Problem:అక్కడే.
Solution: | Right there. | 8 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
0.22471819818019867,
1.223394751548767,
0.7898474931716919,
-0.05083291977643967,
0.10300759971141815,
-0.9112112522125244,
0.5398613214492798,
0.46513041853904724,
-0.22666993737220764,
0.06916685402393341,
-0.09166762977838516,
0.43393489718437195,
-1.357074499130249,
0.19997379183769226... |
Teacher:In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` fo... | b | 6 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.4651261270046234,
0.2710166871547699,
0.33433419466018677,
-0.24295981228351593,
0.2412089854478836,
-1.553133249282837,
-0.11837441474199295,
0.38000133633613586,
0.28470224142074585,
-0.581540584564209,
-0.09349147230386734,
-0.10477007180452347,
-0.44485601782798767,
-0.15740865468978... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example solution: The mailbox was bent and broken and looked like someone had knocked it ... | Solution: On the day when Cindy Sheehan returned to Crawford , Bush is ready with his own War Mom . | 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.034144625067710876,
1.0619069337844849,
0.1277560144662857,
-0.029305474832654,
0.27474331855773926,
-0.8359085321426392,
0.6186900734901428,
0.7008652091026306,
-0.11025029420852661,
-0.5349284410476685,
-0.1526622176170349,
0.39410173892974854,
-1.1575849056243896,
-0.14509400725364685... |
Detailed Instructions: 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... | personal | 8 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.034068137407302856,
0.02858418971300125,
0.013934426009654999,
-0.03651683032512665,
-0.6133469939231873,
-0.7017303705215454,
0.10109833627939224,
0.3298701047897339,
-0.20846065878868103,
-0.2756621837615967,
-0.3118862509727478,
-0.2408607006072998,
-0.353391170501709,
-0.48473489284... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Example input: PPdQTlHHTJEe, DydQTlHHVnmlLu
Example output: dQTlHH
Example explanation: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'.
Q: lCIEemiyaYdGRS... | EemiyaYdG | 3 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.16275852918624878,
1.2562062740325928,
-0.30374741554260254,
-0.6526551246643066,
-0.39669671654701233,
-1.0647538900375366,
0.2522265613079071,
-0.5478626489639282,
0.08476927876472473,
-0.30156469345092773,
-0.612567663192749,
-0.5599530935287476,
-0.44967180490493774,
0.39914083480834... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed.... | Original | 5 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.9063019752502441,
1.0033090114593506,
0.731127142906189,
0.13976146280765533,
-0.19319535791873932,
-0.5614696741104126,
-0.2170373797416687,
0.7344911098480225,
0.22709622979164124,
-0.7276014089584351,
-0.9016934633255005,
-0.31113672256469727,
-0.41863518953323364,
-0.020115548744797... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
ولم يعرفوا ماذا يفعلون حتى جائهم عالم الماني الذي أدرك أنهم يستخدمون كلمتين للأطراف الخلفية والأمامية بينما لا يُفرّق علم الجينات بينهما وكذلك اللغ... | No sabían qué hacer, hasta que llegó un científico alemán que se dio cuenta de que utilizaban dos palabras diferentes, miembro posterior y anterior, mientras que la genética no los distingue, al igual que el alemán. | 1 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-1.0182816982269287,
0.2040112465620041,
0.10804801434278488,
-0.5391383171081543,
-0.767878532409668,
0.2615848779678345,
0.4593418836593628,
0.24046573042869568,
0.5761717557907104,
-0.39012375473976135,
-0.8199917674064636,
0.29375311732292175,
-0.3946516513824463,
0.3755308985710144,
... |
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 English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
English: ... | yes | 0 | NIv2 | task831_giga_fren_classification | fs_opt | [
-0.2139441817998886,
1.097656488418579,
0.6528480648994446,
0.2504345774650574,
0.3637464642524719,
-0.8861020803451538,
0.6203210353851318,
0.40529298782348633,
0.34594547748565674,
0.4087848663330078,
-0.17754334211349487,
-0.33078446984291077,
-0.3331962823867798,
-0.2477579414844513,
... |
Given the task definition and input, reply with output. In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
1777 - 2859 + 991 - 55... | 2748 | 5 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.590658962726593,
0.38113853335380554,
-0.49874889850616455,
-0.04018191248178482,
-0.33063647150993347,
0.20846256613731384,
0.8273357152938843,
0.660875141620636,
0.5406091213226318,
-0.374005526304245,
-0.6497876644134521,
-0.045324165374040604,
-0.6895022988319397,
0.4178973734378814... |
Teacher:Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e... | yes | 6 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.19663214683532715,
0.44614866375923157,
0.42858195304870605,
0.028770485892891884,
-0.08026924729347229,
-1.3456969261169434,
0.9234066009521484,
0.984795331954956,
0.0832497626543045,
0.01198754645884037,
-0.2807973623275757,
-0.5427193641662598,
-0.7656011581420898,
-0.533924102783203... |
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: In the movies. Sentence 1: Ann went to a movies. Se... | They said she had to wait another ten months. | 0 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.6437562704086304,
1.1854829788208008,
0.2857900857925415,
0.04774445295333862,
-0.3427095413208008,
0.605360746383667,
0.49701836705207825,
0.37410175800323486,
0.0845675840973854,
-0.40515363216400146,
-0.27579265832901,
-0.08518877625465393,
-0.27655136585235596,
0.3795010447502136,
... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | How many weeks did the single that peaked at number nine spend on the charts? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.29431700706481934,
0.7105804681777954,
-0.43190261721611023,
0.38046565651893616,
0.312436044216156,
-0.2851038873195648,
-0.4480879306793213,
0.42459529638290405,
-0.9094234108924866,
0.10165823996067047,
-0.5615211725234985,
0.09407475590705872,
-0.26392221450805664,
-0.589152336120605... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
One example is below.
Q: In the beginning God created the heaven and the earth.
A: در ابتدا، خدا آسمانها و زمین را آفرید.
Rationale: This is a good example. The above sentence is correctly translated from En... | و انساب بنی اشیر برحسب قبایل و خاندان آبای ایشان، موافق شماره اسمها از بیست ساله وبالاتر، هرکه برای جنگ بیرون میرفت. | 9 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.2339853048324585,
1.258580207824707,
-0.08180804550647736,
-0.31347817182540894,
-0.6826054453849792,
-0.7652850151062012,
1.0600800514221191,
0.5066779851913452,
0.29302865266799927,
0.2875380516052246,
-1.0038036108016968,
0.6379050016403198,
-0.973965048789978,
-0.33505213260650635,
... |
Detailed Instructions: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link info... | Is the person Phang was a key influence to moving into record production still alive today? | 8 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.1301928460597992,
0.6605643630027771,
-0.24842680990695953,
-0.1978500485420227,
-0.20901566743850708,
-0.5010717511177063,
0.7637079954147339,
0.5483203530311584,
0.37259823083877563,
0.2349511682987213,
-0.8350443243980408,
-0.08152276277542114,
-0.8372994661331177,
0.2437657415866851... |
Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
We have the technology.
| Singular | 5 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.4716018438339233,
0.9698454737663269,
0.6264091730117798,
0.09989479184150696,
-0.4035312533378601,
-0.6149410605430603,
0.43348604440689087,
0.052518151700496674,
-0.01623666286468506,
-0.3485342562198639,
-0.3933069705963135,
0.20152676105499268,
-0.1560479998588562,
-0.30900388956069... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
--------
Question: Relationship: 'interview by', Argument/Subject 1: 'sarah palin', Argument/Subject 2: 'katie couric'
Answer: CBS : Sarah Palin seems a little bit more coheren... | Alternatively we can say that the Moon revolves around the Earth 10,724 times to cover the distance that the light travels in 24 hours .
| 7 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.03592868521809578,
0.41409289836883545,
-0.2908005714416504,
-0.13720247149467468,
-0.21041367948055267,
-0.5085504055023193,
0.13128013908863068,
0.02562962844967842,
0.04425395280122757,
-0.30136480927467346,
0.531010627746582,
-0.1616971790790558,
-0.3786948025226593,
0.0681152567267... |
Q: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
「作業者はマスクを着けていてもアルミニウムの粉塵をつねに吸い込んでいる。」
A: | "Workers always breathe in aluminum dust even though they put on masks. " | 7 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.27687764167785645,
0.9797717332839966,
0.5022916793823242,
-1.060222864151001,
0.37385261058807373,
-0.2012295126914978,
0.05348525196313858,
0.31181854009628296,
0.08113524317741394,
-0.23033872246742249,
-0.27064621448516846,
-0.016660161316394806,
-0.5870195627212524,
-0.328670144081... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Let me give you an example: ఇల్లు అందంగా ఉంది
The answer to this example can be: Telugu
Here is why: The language is Telugu so it is correct.
OK. solve this:
విశ్వసనీయతను నిర్ధారించడానికి 1.6 సంవత్సరాలు పరీక్షించబడ... | Telugu | 8 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.09055870026350021,
1.3245426416397095,
0.8022555112838745,
-0.22632953524589539,
0.17120227217674255,
-1.0307279825210571,
0.02712007239460945,
-0.09452255070209503,
-0.38778406381607056,
-0.38251566886901855,
-0.610761284828186,
0.1192353144288063,
-0.5821055769920349,
-0.2041266560554... |
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... | Output: No
| 2 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.8405332565307617,
0.16141188144683838,
0.3779192268848419,
-0.0030269520357251167,
-0.4719502031803131,
-0.8495882153511047,
0.43329834938049316,
0.6298466920852661,
-0.7837215662002563,
-0.08379305899143219,
-0.4345623254776001,
-0.3725687265396118,
-0.7542319297790527,
-0.1353557109832... |
Definition: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Input: Statement: বাংলাদেশের স্বাধীনতা যুদ্ধ ছিল ১৯৭১ সালে সংঘটিত তৎকালীন পশ্চিম পাকিস্তানের বিরুদ্ধে... | বাংলাদেশ | 2 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.5716271996498108,
0.7181598544120789,
-0.38924074172973633,
-0.20428255200386047,
-0.38629454374313354,
-0.7867648005485535,
0.2204299420118332,
0.7011783719062805,
0.8037519454956055,
0.41436511278152466,
-0.5374449491500854,
0.2125445306301117,
0.10463502258062363,
-0.4600701928138733,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
[EX Q]: ちゃんと聞きましたとも
[EX A]: Alentador, a que si?
[EX Q]: 死んだ姿をした人間に対して愛情を持ち切っても切れない自分たちの一部と見なしたらどうなるでしょうか
[EX A]: Como sería ver a forma humana finada con amor porque é unha parte moi íntima do que todos nós somos?
[E... | Creo que así poderanse facer grandes cousas.
| 6 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.021068625152111053,
0.14136244356632233,
-0.26722902059555054,
-0.36168766021728516,
-0.2518157362937927,
-1.235220193862915,
1.04336416721344,
-0.0051606763154268265,
-0.7952420115470886,
0.14614106714725494,
-0.2280588299036026,
0.3044663369655609,
-0.7379733920097351,
1.2390658855438... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
See one example below:
Problem: [2, 5, 9, 6, 11]
Solu... | [64, -25, 4, 29, -16, 83, -5, 43] | 4 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.30758175253868103,
-0.2912358045578003,
-0.3707844316959381,
-0.6868371963500977,
0.2609650492668152,
-0.12145731598138809,
0.7285202741622925,
-0.03522122651338577,
-0.3393016457557678,
0.23000510036945343,
-0.8080224990844727,
-0.2427581548690796,
-0.3060118556022644,
-0.39287841320037... |
Instructions: 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 generate label "no".
Input: Bulgarian: Одобряване на протокола от предишното заседание: вж протоколите, Engl... | no | 3 | NIv2 | task273_europarl_classification | zs_opt | [
-0.46257835626602173,
0.3277330994606018,
0.1369154453277588,
0.7555562853813171,
0.3007746934890747,
-0.8069842457771301,
0.7245476245880127,
0.4108174443244934,
0.15979836881160736,
0.2042815387248993,
-0.0056834095157682896,
0.8315908312797546,
-0.22752216458320618,
0.27480512857437134,... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
[Q]: ingredients: '1 1/2 c. sugar', '1/2 lb. margarine', '2 eggs', '1 1/2 c. milk', '2 tsp. vanilla extract', '2 tsp. cinnamon', '3 c. unbleached flour', '1 tsp. baking soda', '2 tsp. baking powder', '1/2 c. waln... | Congealed Salad
| 5 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.6190364360809326,
0.7459011077880859,
-0.3993861675262451,
0.2272874414920807,
-0.1742408275604248,
0.24703975021839142,
0.638130784034729,
0.7172411680221558,
-1.0402321815490723,
-0.1771659404039383,
-0.09803139418363571,
0.18971320986747742,
0.31005150079727173,
0.09990224242210388,
... |
Q: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[[45, 99, 80], [... | [99, 77] | 7 | NIv2 | task207_max_element_lists | zs_opt | [
-0.34071022272109985,
0.5570063591003418,
-0.6171593070030212,
-0.2703578770160675,
-0.24943673610687256,
0.5554524064064026,
1.1107177734375,
0.15359283983707428,
0.6623696684837341,
0.35821378231048584,
-0.0847148671746254,
0.4827178120613098,
-0.14853063225746155,
0.21923699975013733,
... |
Translate from English to Hindi.
One example is below.
Q: Go to the employment office.
A: रोजगार कार्यालय जाओ.
Rationale: The translation is accurate.
Q: Ever bother you?
A: | कभी परेशान होते हो? | 9 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.15104860067367554,
0.4189394414424896,
-0.03538333997130394,
0.5947378277778625,
0.07142357528209686,
-0.876771092414856,
-0.25596189498901367,
-0.46366065740585327,
0.7172747850418091,
0.09789276123046875,
0.16387471556663513,
-0.32415151596069336,
0.11137251555919647,
0.60061162710189... |
Detailed Instructions: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Q: Context_1 : Twenty Ten is a two-disc retrospective album by Australian singer and s... | Your Body Is a Wonderland | 9 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.6482008695602417,
0.0035918764770030975,
-1.1211817264556885,
-0.27370142936706543,
0.17080122232437134,
-0.5548943281173706,
0.7978255748748779,
0.8533837795257568,
-0.852549135684967,
0.666238009929657,
-0.11634793877601624,
0.43648800253868103,
-0.8923400044441223,
-0.0534785613417625... |
In this task, you will be presented with a question having multiple possible answers in Dutch language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: Hij besloot om tomaten op een rijtje te planten, waar zou die rij dan zijn?
Options... | A
****
| 4 | NIv2 | task1133_xcsr_nl_commonsense_mc_classification | fs_opt | [
-0.034614261239767075,
0.4384459853172302,
-0.08980754017829895,
0.16257190704345703,
0.06668949127197266,
-0.6336233615875244,
0.09657873213291168,
0.6343311071395874,
0.6404528617858887,
-0.11798907071352005,
0.1340993046760559,
1.253222942352295,
0.16869458556175232,
-0.2872038781642914... |
Q: You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
Sentence: Joe closed the book, and went downstairs.
Question: What did ... | went downstairs. | 7 | NIv2 | task051_multirc_correct_answer_single_sentence | zs_opt | [
0.26715752482414246,
0.9438568353652954,
-1.2254126071929932,
0.010747840628027916,
-0.35518622398376465,
-0.6379250884056091,
0.34300655126571655,
0.4423983097076416,
0.5614467859268188,
0.014414029195904732,
-0.6111702919006348,
0.12130901217460632,
-0.9572172164916992,
-0.06368529051542... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: You ... | A sugar is for the body to convert into bread .
****
| 4 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.1009763851761818,
0.6557639837265015,
-0.5108774900436401,
-0.5743190050125122,
-0.1716378629207611,
-0.6949288845062256,
0.5130119919776917,
0.7605287432670593,
0.18411874771118164,
0.09894068539142609,
-0.29213088750839233,
0.069181427359581,
-0.230821430683136,
0.09611359238624573,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Q: Esta é a cabeça; aqui é o peito, podem ver mais ou menos o começo.
A: | Questa è la sua testa, questo il petto, potete vedere l'inizio. | 4 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
0.13138523697853088,
1.0755996704101562,
0.1091964989900589,
-0.48027873039245605,
-0.7161067724227905,
-0.6093641519546509,
0.6844378709793091,
0.7310887575149536,
0.43150949478149414,
-0.5580148696899414,
-0.573198139667511,
0.23575377464294434,
-0.3779750466346741,
0.7794191837310791,
... |
Detailed Instructions: In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Q: i know this isnt real but it feels strange to me at times
A: | surprise | 9 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.252639651298523,
-0.0636584460735321,
0.3976714611053467,
0.3101518154144287,
-0.10567723214626312,
-0.8421624898910522,
0.48236197233200073,
0.4958978295326233,
-0.01865425705909729,
0.09374257922172546,
-0.06675286591053009,
-0.1946103423833847,
-0.6796249151229858,
0.3666724562644958... |
Detailed Instructions: 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.
See one example below:
Problem: [-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Explanation: The output correctly rounds... | [-240, -330, 530, -1000, 180, -230] | 4 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.2753007113933563,
0.2890775203704834,
-0.6343227624893188,
-0.21421745419502258,
-0.11713248491287231,
-0.529355525970459,
1.1822320222854614,
-0.040793560445308685,
-0.042581744492053986,
0.47792521119117737,
-0.7117756605148315,
-0.15358051657676697,
-0.33367782831192017,
0.0386094972... |
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 | 4 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.20696374773979187,
0.11699876189231873,
0.3604136109352112,
0.37790170311927795,
0.04664359614253044,
-0.36151134967803955,
0.9569680690765381,
0.28890252113342285,
0.40967026352882385,
0.5884126424789429,
0.07175171375274658,
-0.15167537331581116,
-0.583787202835083,
-0.899962186813354... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example Input: Agora, isto é informação real — aquilo que vemos é uma projeção do Nanopatch que foi aplicado na pele e estas cores são diferentes camadas.
Example Output: Now, this is real data — that thing that we c... | They act it out. They act it out, and they're on their way to jail or they're on their way to being dropouts.
| 3 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.2677713632583618,
0.342196524143219,
0.5594445466995239,
0.2851616442203522,
-0.5488192439079285,
-0.8879576325416565,
0.5778485536575317,
1.799915075302124,
0.334550142288208,
0.501227855682373,
-0.3941620886325836,
0.6566186547279358,
-0.16682416200637817,
-0.3483032286167145,
0.9304... |
Detailed Instructions: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3,... | (8, 9) | 9 | NIv2 | task089_swap_words_verification | zs_opt | [
0.04010334610939026,
0.7801058292388916,
0.10830403119325638,
-0.7209439277648926,
0.0008459379896521568,
-0.6525112390518188,
0.5221009850502014,
0.2521432638168335,
0.11888082325458527,
-0.457348108291626,
0.0636059045791626,
-0.09471847116947174,
-0.2762530744075775,
0.33742547035217285... |
Part 1. Definition
You are given a time in 24-Hours format, and you need to convert it to time in the 12-Hours format. For a 24-Hours format time larger than 12:00, subtract 12 hours from the given time, then add 'PM'. For example, if you have 14:30 hours, subtract 12 hours, and the result is 2:30 PM. If the 24-Hours ... | 06:07 AM | 7 | NIv2 | task1498_24hour_to_12hour_clock | fs_opt | [
0.26450762152671814,
0.21408331394195557,
-0.16875556111335754,
0.8775662183761597,
-0.4373663067817688,
-0.16080597043037415,
0.44171613454818726,
0.47269362211227417,
0.19497095048427582,
-0.27416208386421204,
-0.47893133759498596,
-0.007596251089125872,
-0.26528969407081604,
-0.69767630... |
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... | RB
| 0 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5788854956626892,
0.4528922736644745,
-0.4242545962333679,
0.4918789267539978,
-0.1887282133102417,
-0.6107325553894043,
1.0091452598571777,
0.4015570878982544,
-0.3385600447654724,
0.06661485135555267,
-0.565664529800415,
0.6142309308052063,
-0.27482378482818604,
-0.009298080578446388,
... |
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 list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Alphabets Win | 0 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
0.42957767844200134,
0.10556173324584961,
-0.4059889316558838,
-0.005624403711408377,
-0.039050135761499405,
-0.39581865072250366,
0.7833371758460999,
0.25565868616104126,
-0.43830403685569763,
0.33542296290397644,
-0.6650100350379944,
0.20945382118225098,
-0.44342756271362305,
0.330993801... |
Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: RWBによると、バローチスターンでは、ジャーナリストは自由に報道をせず、地域内で自己検閲するという結果がもたらされた。
Lao: Danke Micheal ສຳ... | No | 3 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.1037737131118774,
0.03639120236039162,
0.38805028796195984,
0.37054896354675293,
0.08644022792577744,
0.3129120469093323,
0.4899776577949524,
0.6974886059761047,
-0.2641003429889679,
-1.0223169326782227,
-0.7297993898391724,
0.3902168571949005,
-0.4690679609775543,
0.634006142616272,
... |
Detailed Instructions: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are... | He kept asking me questions | 9 | NIv2 | task918_coqa_answer_generation | zs_opt | [
0.6246367692947388,
0.09892934560775757,
-0.31343966722488403,
0.22509396076202393,
-0.20909057557582855,
-0.504875898361206,
0.4853440523147583,
0.4403718113899231,
-0.07947410643100739,
-0.12486535310745239,
-0.4627801179885864,
-0.2395242154598236,
-0.8849926590919495,
0.284552693367004... |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Q: My name is John... | Not sad | 4 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-0.8773995637893677,
-0.08780261874198914,
0.9431105852127075,
-0.6017820835113525,
0.19644926488399506,
-0.9261624217033386,
0.7879436016082764,
-0.08918996155261993,
0.13889439404010773,
0.06423972547054291,
-0.08652328699827194,
-0.38974717259407043,
-1.064493179321289,
0.37193864583969... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
One example is below.
Q: Text: quick backstory: i am a duel enrollment student (still in high school but ... | spend half of my money i own on steam cards, upload the codes to a website i thought was private, codes all get stolen. | 9 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.34102004766464233,
-0.0737164169549942,
-0.42689248919487,
-0.7834770679473877,
0.27123934030532837,
-0.5805855393409729,
1.086821436882019,
0.7384128570556641,
0.04307280480861664,
-0.1087845116853714,
-0.19047623872756958,
0.7081586122512817,
-0.44993695616722107,
-0.06669581681489944,... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one
| 7 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
0.08808284252882004,
0.8520646095275879,
0.4487338662147522,
-0.3136560916900635,
0.0978451818227768,
-0.3774920701980591,
0.11742599308490753,
0.8312263488769531,
-0.08246640861034393,
0.020215924829244614,
0.38874420523643494,
-0.18472060561180115,
-0.5277963280677795,
-0.349675476551055... |
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 | 3 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.3836209774017334,
0.1401061713695526,
0.07246101647615433,
-0.40571320056915283,
-0.5317600965499878,
-0.9626672267913818,
1.080698013305664,
0.48078179359436035,
-0.4656793475151062,
-0.6052536964416504,
-0.20601999759674072,
-0.4317730963230133,
-0.5724877715110779,
0.23096203804016113... |
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".
One example: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on... | no | 6 | NIv2 | task1587_scifact_classification | fs_opt | [
0.3536834716796875,
0.19148847460746765,
-0.7358625531196594,
0.5677094459533691,
1.2042288780212402,
-0.18764543533325195,
0.3966279625892639,
0.8402277827262878,
-0.37615418434143066,
0.2752123773097992,
-0.8412315845489502,
0.22338755428791046,
-0.7673155665397644,
0.4921979010105133,
... |
Definition: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the... | False | 2 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.5417375564575195,
0.19940653443336487,
-0.1722687929868698,
-0.620458722114563,
-0.5478863716125488,
-0.21966136991977692,
0.5848307013511658,
0.05475325137376785,
0.15080323815345764,
-0.3879038393497467,
-0.6212271451950073,
0.12357942759990692,
-0.3482583463191986,
0.2445843517780304... |
instruction:
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 -
'.': Period sym... | DET
| 9 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.29153990745544434,
0.1279895007610321,
-0.15657778084278107,
0.24833893775939941,
0.303480327129364,
-0.6331203579902649,
0.7483468055725098,
0.7243551015853882,
-0.37709975242614746,
0.06211181357502937,
-0.6065462827682495,
0.07496268302202225,
-0.6208491921424866,
0.2613438069820404,
... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', '... | 4 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.4311903417110443,
-0.19242805242538452,
-0.2748989760875702,
0.016388757154345512,
0.3745846152305603,
-0.17086251080036163,
0.6200026273727417,
1.0331041812896729,
-0.09902969002723694,
0.1619037687778473,
0.17316849529743195,
-0.42660361528396606,
-0.5253275036811829,
-0.01679948717355... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same lengt... | No | 1 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.5652969479560852,
0.5073851346969604,
0.11200333386659622,
-0.08919657766819,
-0.15214425325393677,
-1.037967562675476,
0.2506336569786072,
0.7396197319030762,
0.07933515310287476,
-0.426749587059021,
-0.4194248616695404,
-0.6962877511978149,
0.1426999270915985,
-0.09453655779361725,
... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: Alan had to write a paper for class. Sentence2: He went to the library to do research. Sentence3: Alan checked out a few books. Sentence4: He read throug... | Alan | 4 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.19494551420211792,
0.38458216190338135,
0.06200551241636276,
-0.6635912656784058,
0.27161163091659546,
-0.34440645575523376,
0.524551510810852,
-0.19559484720230103,
0.45766162872314453,
-0.44773322343826294,
-0.3769286870956421,
-0.13302792608737946,
-0.959372878074646,
0.37600675225257... |
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're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker an... | acceptable | 0 | NIv2 | task616_cola_classification | fs_opt | [
-0.42182356119155884,
0.4213091731071472,
0.8386867642402649,
-0.6517699956893921,
0.3371112644672394,
-0.8025392889976501,
0.5851628184318542,
0.342571496963501,
0.7481803894042969,
0.4311080574989319,
-0.5116665363311768,
-0.4516029953956604,
-0.06674373149871826,
-0.15451915562152863,
... |
You will be given a definition of a task first, then some input of the task.
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 pa... | True | 1 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.5196222066879272,
0.229060560464859,
0.12459632754325867,
-0.5224003791809082,
-0.4127511978149414,
-0.01784568279981613,
0.6065484285354614,
0.29397931694984436,
0.34529247879981995,
0.1734304428100586,
-0.7319807410240173,
0.11561352014541626,
-0.11370494961738586,
0.18682587146759033... |
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're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the... | Yes | 0 | NIv2 | task310_race_classification | fs_opt | [
0.11550740897655487,
0.14537671208381653,
-0.3167211413383484,
0.021700290963053703,
0.48980051279067993,
-0.021833468228578568,
1.2936564683914185,
0.8057854175567627,
-0.11956675350666046,
-0.09714797139167786,
-0.176723912358284,
-0.019830752164125443,
0.12586155533790588,
0.44502332806... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 8 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.06758721172809601,
-0.052359841763973236,
0.4309978485107422,
0.24368827044963837,
-0.10244518518447876,
-0.8499508500099182,
0.5767279267311096,
1.0135929584503174,
-0.6306315064430237,
-0.21272045373916626,
-0.4963233172893524,
-0.3665767312049866,
-0.7951709032058716,
0.16129043698310... |
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
[Q]: Questions: ['what is dolly porter age now?']
[A]: 71 years
[Q]: Questions: ['when did the first super man come out?']
[A]: 1978
[Q]: Questions:... | 1885
| 5 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | fs_opt | [
0.22398170828819275,
0.8107960224151611,
-0.11442360281944275,
-0.5075701475143433,
-0.9179061651229858,
-0.6128098368644714,
0.8341333866119385,
-0.4020519554615021,
0.521847128868103,
0.11442379653453827,
-0.7007020711898804,
0.446698933839798,
-0.4704640209674835,
-0.01814538612961769,
... |
Teacher:In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Teacher: Now, understand the proble... | yes | 6 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.6587656140327454,
0.13172195851802826,
0.7275937795639038,
0.6782503724098206,
0.34558549523353577,
-0.41103625297546387,
0.04474768042564392,
0.4982675313949585,
0.4629597067832947,
-0.09104692935943604,
0.26670312881469727,
-0.008389445021748543,
0.2621159553527832,
-0.214792549610137... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution is here: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Explanation: The English sentence is correctly translated in... | すごい技術のおかげで私が働き始めてからオーストラリア男性の死亡率が半減しました集中治療の成果です | 6 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.40310782194137573,
0.7466055154800415,
-0.24774250388145447,
-0.567681074142456,
-0.32021069526672363,
-0.9665689468383789,
1.0240850448608398,
-0.47110700607299805,
0.06793927401304245,
-0.19111603498458862,
-0.5785041451454163,
0.3243679106235504,
-0.2131059616804123,
0.308801919221878... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | 4 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
0.08825740218162537,
0.022051328793168068,
-0.47297999262809753,
-0.2504366636276245,
-0.15994389355182648,
-1.3438538312911987,
0.7472718954086304,
0.671535313129425,
-0.6775639057159424,
0.6159341931343079,
0.46107807755470276,
-0.2482791692018509,
-0.8400695323944092,
-0.265303134918212... |
Instructions: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sampl... | How many Supreme Court cases did Marshall lose? | 3 | NIv2 | task026_drop_question_generation | zs_opt | [
0.5297098159790039,
0.2871731221675873,
0.04807984456419945,
-0.15000979602336884,
0.1517082154750824,
0.252327561378479,
0.1641826182603836,
0.6314219236373901,
0.14674429595470428,
-0.05158883333206177,
-0.1766669750213623,
0.4742063879966736,
-1.0762007236480713,
-0.049864888191223145,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid usi... | A woman and man are looking for a new couch. | 9 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.6958345174789429,
0.3272549510002136,
-0.25661399960517883,
-0.7922546863555908,
0.39701154828071594,
0.21047955751419067,
0.04823892191052437,
0.39853620529174805,
0.6285548210144043,
-0.054201118648052216,
-0.5161073207855225,
-0.5136828422546387,
-0.20212039351463318,
0.0813981443643... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Scrambling now to play it the way someone taught him, someone quickly gestures to the red leather chair arross the desk. As someone sits down, someone | gets down to where someone is pointing. | 0 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.7158684730529785,
1.1960846185684204,
-0.934333324432373,
-0.22958886623382568,
-0.7505534291267395,
0.49254265427589417,
0.12198519706726074,
0.5919228196144104,
0.6084095239639282,
-0.07760731875896454,
0.28762340545654297,
-0.2223348170518875,
-0.5895295143127441,
-0.2286131978034973... |
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 get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English... | Yes | 0 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.6210319995880127,
0.10148516297340393,
-0.2578878104686737,
0.05016731470823288,
-0.08140869438648224,
-0.28800034523010254,
1.1597579717636108,
0.5257054567337036,
-0.04983995854854584,
0.093416728079319,
0.11203351616859436,
0.46273425221443176,
-0.7898694276809692,
0.32518142461776733... |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Example Input: concept: Hampton question: what county is the city of hampton va in?
Example Output: ['Hampton']
Example Input: concept: Cuba question: ... | ['University of Alabama']
| 3 | NIv2 | task1601_webquestions_answer_generation | fs_opt | [
0.03446080535650253,
0.47315454483032227,
0.18909920752048492,
-0.3859144449234009,
-0.19919879734516144,
-0.8123970627784729,
0.8387690782546997,
0.664262056350708,
0.10378268361091614,
0.05444831773638725,
-0.2362549901008606,
0.6339942216873169,
-0.6429994702339172,
-0.00046241108793765... |
Q: 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 .
Statement: ਨਰੇਸ਼ ਕੁਮਾਰ ਸ਼ਾਦ ਦਾ ਜਨਮ ਅਹਿਆਪੁਰ, ਉੜਮੜ ਟਾਂਡਾ, ਜ਼ਿਲ੍ਹਾ <MASK> ਵਿੱਚ 11 ਦਸੰਬਰ 1927 ਨੂੰ ਹੋਇਆ ਸੀ। ਉਸ ਦੇ ਪ... | ਹੁਸ਼ਿਆਰਪੁਰ | 7 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.23330117762088776,
1.0396991968154907,
0.8615233898162842,
0.06202014163136482,
0.11125527322292328,
-0.011939183808863163,
0.7932058572769165,
0.473848432302475,
0.6773767471313477,
-0.10665075480937958,
-0.1989147663116455,
-0.0879056453704834,
-0.8155403137207031,
-0.11260131001472473... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Input: Sentence 1: Iffen you kin drink s... | fiction | 2 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.066776990890503,
0.30850347876548767,
-0.013540116138756275,
-0.15813928842544556,
-0.1663913130760193,
-0.01103493943810463,
0.670712947845459,
0.3713151216506958,
-0.06770960986614227,
-0.4223838448524475,
-0.263571560382843,
0.04809742793440819,
-0.6636481285095215,
-0.19785836338996... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Poradzi sobie, ale trzeba na nią uważać.
Solution: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Reason: The Polish sentence... | وقلت ، أكبر مفاجأة في حياتي هي قصر الحياة | 2 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.042298633605241776,
0.8186463117599487,
0.3673749566078186,
-0.8030799031257629,
-0.20485064387321472,
-0.6562299132347107,
1.3212015628814697,
-0.3778044581413269,
-0.021273918449878693,
0.4010571539402008,
-0.4659045934677124,
0.13981154561042786,
-1.0040078163146973,
0.44737070798873... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
מה שזה עושה הוא רעיון פשוט מאוד הוא לוקח 80-90 אחוז מגזי ה- CO2 המיוצרים במנהטן מגיעים מבניינים - אנחנו לוקחים, בדיוק כמו חממה מסחרית, אנחנו לוקחים... | What it does is a very simple idea of taking — 80 to 90 percent of the CO2 produced in Manhattan is building related — we take, just like a commercial greenhouse, we take the CO2 from the building — CO2-enriched air — we force it through the urban agriculture facility, and then we resupply oxygen-enriched air. | 1 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.5887377262115479,
0.5771560668945312,
0.08392079174518585,
-0.5311068296432495,
-0.20383521914482117,
-0.6514521241188049,
0.3446805477142334,
0.6335647702217102,
0.26525968313217163,
0.24469809234142303,
-0.5546342134475708,
-0.010338653810322285,
-1.0091639757156372,
0.114499792456626... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Problem:La posición es notable.
Solution: | זה מעניין: התנוחה. | 8 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
0.031080596148967743,
0.4312799572944641,
0.09013525396585464,
-0.23516052961349487,
-0.023948390036821365,
-0.21999084949493408,
0.8355264067649841,
0.3412257134914398,
1.679347276687622,
-0.41918259859085083,
-0.3610520660877228,
-0.11234664916992188,
-0.726347804069519,
0.05935543775558... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
学校のそういうやり方を全部やめるなら試行錯誤が良いことだということが当たり前になったと認めましょう
| سوف أعترف بذلك.. عندما تتوقف المدارس عن القيام بذلك من الواضح ان اسلوب التجربة والخطأ هو أمرٌ جيدا.. | 5 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.175127312541008,
0.3689747154712677,
0.5074243545532227,
-1.1279405355453491,
0.009994440712034702,
-0.13807038962841034,
0.5661575794219971,
-0.03095052018761635,
0.3204408586025238,
-0.32057929039001465,
-0.32082125544548035,
-0.1826154887676239,
-0.3928888738155365,
0.183106034994125... |
Given the task definition and input, reply with output. Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
The Ehlers-Danlos syndromes (EDS) are a heterogeneous group of heritable connective tissue disorders characterised by joint hypermobili... | What tissue is most affected in Ehlers-Danlos syndromes? | 5 | NIv2 | task470_mrqa_question_generation | zs_opt | [
-0.09081683307886124,
0.2012006640434265,
-0.6006453037261963,
-0.0752032995223999,
0.16224965453147888,
0.21584048867225647,
0.8690603971481323,
0.9042999744415283,
0.514269232749939,
0.5859459638595581,
-0.6550247073173523,
1.0667831897735596,
-0.034538038074970245,
0.12901979684829712,
... |
Q: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
... | sadness | 7 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.7226448655128479,
-0.14044100046157837,
0.3212661147117615,
-0.6687687039375305,
-0.8630768656730652,
-0.3879986107349396,
0.17390501499176025,
0.833007276058197,
-0.03100511059165001,
-0.37471631169319153,
-0.6151023507118225,
-0.09626250714063644,
-0.011877248995006084,
0.224978595972... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Alice woke up that morning to her dog, Tito, licking her face. | 6 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.13730505108833313,
0.6729942560195923,
-0.07243182510137558,
-0.2206209897994995,
-0.5081659555435181,
0.2793288230895996,
0.9934110641479492,
0.605474591255188,
-0.24780689179897308,
-0.18376928567886353,
-0.5166466236114502,
0.1763511300086975,
-0.08107103407382965,
-0.0421031154692173... |
Detailed Instructions: You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (o... | Yes | 4 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.41556650400161743,
0.5759752988815308,
-0.21283459663391113,
0.1098465621471405,
-0.2842283844947815,
-0.27386558055877686,
0.7197006344795227,
0.5864495038986206,
-0.09107080101966858,
0.4707426428794861,
-0.2330685257911682,
0.5409708619117737,
-0.6774553060531616,
0.3599317967891693,
... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Ex Input:
Sentence 1: The twin build... | 0
| 1 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.39558854699134827,
-0.1160854697227478,
-0.20800454914569855,
0.2220524549484253,
0.03611038625240326,
0.4810449779033661,
-0.24867084622383118,
0.40835243463516235,
0.10550779104232788,
0.6515073180198669,
-0.2585733234882355,
0.16812613606452942,
-0.2533932626247406,
-0.41108012199401... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | In what year did Joey Votto win the Hank Aaron award? | 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.19923147559165955,
0.523734986782074,
-0.8248481750488281,
0.36719417572021484,
0.6177624464035034,
-0.5453804731369019,
0.49869099259376526,
0.7719842195510864,
0.516761302947998,
0.010785081423819065,
-0.09346570074558258,
0.15608477592468262,
-0.29167115688323975,
0.022545019164681435... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: それから10月29日に最初のパケット交換メッセージが UCLAからSRIへと送られました
A: | ثم في 29 أكتوبر من ذلك العام ، تم إرسال أول حزمة بيانية محوّلة من قسام إلكتروني من جامعة لوس أنجلوس إلى معهد ستانفورد للبحوث. | 9 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.08621425181627274,
0.5451714992523193,
-0.1949712634086609,
-0.43967342376708984,
-0.5866307020187378,
-1.0301461219787598,
-0.23404166102409363,
0.30384117364883423,
0.1307867467403412,
-0.674616813659668,
0.5740431547164917,
0.10355466604232788,
0.09042446315288544,
0.1108258068561554... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: સની દિવસ પર આકાશમાં એક એન્જિનનું વિમાન.
English: A single engine plane in th... | Yes
| 0 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-1.2721214294433594,
0.5182303786277771,
0.7207018136978149,
-0.2555454969406128,
0.13105958700180054,
-1.4428420066833496,
0.013232666067779064,
0.3960686922073364,
-0.3654697835445404,
0.20760215818881989,
0.10106915235519409,
0.23877836763858795,
-0.36752209067344666,
0.2375767081975937... |
Detailed Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible rea... | Why is the narrator looking to see her old friend ? | 4 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.8213468790054321,
-0.05978410318493843,
-0.30980563163757324,
0.3864455223083496,
-0.07898018509149551,
0.007316515780985355,
0.26399198174476624,
0.9278456568717957,
-0.27552399039268494,
0.13301679491996765,
-0.3245992064476013,
0.22391507029533386,
-0.45058465003967285,
0.035024266690... |
Definition: 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 particular.
Input: Comment: Will not happen. Peop... | Threat | 2 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5724624395370483,
0.6375604867935181,
0.7870403528213501,
-0.13399401307106018,
0.09348063170909882,
-0.655903160572052,
0.8336018919944763,
0.68083655834198,
0.1357666701078415,
0.3827284574508667,
-0.09946461021900177,
0.08857394009828568,
-0.5297958850860596,
-0.3199554979801178,
0... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: 引き返すにあたり、強風と遭遇した後に、飛行機はカブールに着陸した。
[A]: ໃນຂະນະທີ່ຍົນກຳລັງບິນກັບ ຍົນໄດ້ລົງຈອດທີ່ເມືອງກາບູນຫຼັງຈາກທີ່ມັນປະສົບກັບລັມແຮງ.
[Q]: ４０分のセッションでは、レベル１のヒーリン... | ສາງເກັບອາວຸດທາງທະຫານແຫ່ງໜຶ່ງໃນເມືອງອາມາຊາມິຢາ ທາງພາກເໜືອຂອງເມືອງອາເປັບໂປ ປະເທດຊີເລຍ ໄດ້ເກີດເຫດລະເບີດແລະເຮັດໃຫ້ທະຫານຊີເລຍ15ຄົນເສຍຊີວິດແລະອີກ50ຄົນຖືກບາດເຈັບ.
| 5 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.19909372925758362,
0.02654402330517769,
-0.5620063543319702,
-0.2585841119289398,
0.16837963461875916,
-0.9101418256759644,
1.053830623626709,
0.8191897869110107,
-0.48872309923171997,
-0.295951783657074,
-0.3813909888267517,
0.8872363567352295,
-0.7198178768157959,
0.44005024433135986,... |
Teacher: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when ... | Brenda wanted to go on a trip to Disneyland. | 2 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.1321486234664917,
0.22938272356987,
0.09748640656471252,
-0.7408585548400879,
-0.46729713678359985,
-0.09160517156124115,
0.5310162901878357,
0.45333993434906006,
-0.45326554775238037,
-0.3076554536819458,
-0.20868700742721558,
0.1103687584400177,
0.07320669293403625,
-0.441057980060577... |
Teacher: In this task, we ask you to write an implausible answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Even though there exist multiple w... | 90 minutes. | 2 | NIv2 | task005_mctaco_wrong_answer_generation_event_duration | fs_opt | [
0.46623891592025757,
0.19919905066490173,
-0.23655006289482117,
-0.6025919318199158,
-0.3819228708744049,
-0.9450258016586304,
0.61868816614151,
0.30432552099227905,
0.08731155097484589,
-0.13625258207321167,
0.2713863253593445,
0.6126904487609863,
-0.7283956408500671,
-0.22418212890625,
... |
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... | C, D. | 0 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.10401386022567749,
0.20194993913173676,
-0.5076062679290771,
0.10786423087120056,
-0.3196106255054474,
-1.255772590637207,
0.6594015955924988,
1.0110447406768799,
-0.08243664354085922,
-0.4806780219078064,
-0.32857611775398254,
0.2058165967464447,
-0.05817197635769844,
-0.042449366301298... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.