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 inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 26471 | 4 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.14144325256347656,
0.40353184938430786,
-0.3269836902618408,
-1.021517276763916,
-0.3543665409088135,
-0.011400063522160053,
0.34841933846473694,
-0.2583249807357788,
-0.07017763704061508,
0.12211637943983078,
-0.9013222455978394,
0.6242616176605225,
0.4066654443740845,
-0.5632701516151... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Q:... | Who was the republican whip in the senate for the 113th-115th congress?
John Cornyn | 4 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-1.038130760192871,
1.0052361488342285,
0.24070464074611664,
-0.1261386275291443,
-0.5866740942001343,
-0.24147182703018188,
0.703533411026001,
0.44206148386001587,
0.23623649775981903,
0.20897254347801208,
0.12209896743297577,
0.6201883554458618,
0.03792358189821243,
-0.138198584318161,
... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Let me give you an example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
The answer to this example can be: a, 931, 13245
Here is why: Here, every 3rd elem... | 9151, 8433, a | 8 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.2673960328102112,
-0.05798087269067764,
-0.4615486264228821,
-0.9544587731361389,
-0.535124659538269,
-0.6994197368621826,
0.3954606354236603,
0.4917890727519989,
-0.4228658974170685,
-0.08552314341068268,
-0.8183301091194153,
0.37515726685523987,
0.1018640398979187,
-0.07570208609104156... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example Input: Speaker intent detection and semantic slot filling are two critical tasks in spoken language understanding (SLU) for dialogue systems. In this paper, we... | Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
| 3 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.15885192155838013,
0.6802531480789185,
0.12385502457618713,
0.2747552990913391,
0.1025388240814209,
0.12380576133728027,
0.7554153800010681,
0.5406894087791443,
-0.24941323697566986,
0.680770754814148,
0.05542534589767456,
-0.09271848201751709,
-0.42500877380371094,
0.6085463762283325,
... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example: not just the words . and thats where a great film editor can help a director .
Example solution: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Example explanation: This is a good example. The above... | Solution: دهن من پر ازکتانه . | 5 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.6390749216079712,
0.5563970804214478,
-0.41245749592781067,
-0.4708370864391327,
-0.4875088334083557,
-0.3717845380306244,
0.32564353942871094,
0.3137708902359009,
-0.21226201951503754,
-0.34382420778274536,
-0.3806421756744385,
-0.4393429756164551,
-0.7458168864250183,
0.62710642814636... |
Teacher:In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? Solve this instance: Un sector de los socialistas, encabezado por... | Some of the socialists under the direction of Mr Bernd Lange say: yes, we approve of this principle but we need not implement it until 2010 or 2012 according to Amendment No 45. | 6 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-1.1079752445220947,
0.34982043504714966,
0.39730072021484375,
-0.5626965761184692,
-0.2825317978858948,
-0.3987017273902893,
0.8877994418144226,
0.7619208097457886,
-0.3638029098510742,
0.45683351159095764,
0.34555694460868835,
0.17340432107448578,
-0.34158459305763245,
-0.603667736053466... |
Detailed Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Q: My grandma had a roommate who was a drag queen I had drag queen knwonledge at 11 and what was cool lol
A: | not hate | 9 | NIv2 | task1604_ethos_text_classification | zs_opt | [
0.18711641430854797,
1.089613437652588,
-0.28785818815231323,
-0.8385366201400757,
-1.1586661338806152,
-1.2218114137649536,
0.30907130241394043,
0.23308134078979492,
0.6641457676887512,
-0.11199234426021576,
0.8594777584075928,
-0.2554377615451813,
-1.1054885387420654,
-0.4083621799945831... |
In this task you will be given a list of strings and you need to concatenate them.
['G', 'is', 'g', 'prophecy', 'u', 'v']
Gisgprophecyuv
['V', 'q', 'wide', 'K', 'now', 'u', 'All', 'Z']
VqwideKnowuAllZ
['Spaniard9s', 'N', 'h', 'of', 'E', 'he', 'Q', 'c']
| Spaniard9sNhofEheQc
| 0 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.4875718653202057,
0.6682239770889282,
0.04596400260925293,
-0.7625542283058167,
0.1322430968284607,
-0.6940639019012451,
0.37108728289604187,
-0.20648908615112305,
0.2861068546772003,
0.5538299083709717,
-0.8337946534156799,
-0.36711961030960083,
-0.4704326391220093,
0.2867547273635864,... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
[Q]: W: Hi, Mike. What have you been up to? M: Not much. I started exercising. W: Trying to get in shape?... | (A) To attend a conference.
| 5 | NIv2 | task247_dream_answer_generation | fs_opt | [
1.0512659549713135,
0.33809715509414673,
-0.6958996057510376,
-0.380249559879303,
0.3445926308631897,
-0.5172719359397888,
1.2585463523864746,
0.5121368765830994,
-0.2509852349758148,
-0.1245138943195343,
-0.14323453605175018,
0.5114579200744629,
-0.3320819139480591,
0.20440137386322021,
... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Tweet: @MizzyLB Oh Em Gee! I want to go!All the cool tours are not... | yes | 4 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.8686546087265015,
-0.3348007798194885,
0.30572155117988586,
0.06890219449996948,
0.5514769554138184,
-1.126001000404358,
-0.13412120938301086,
-0.7710199356079102,
-0.39959096908569336,
0.6323710680007935,
0.557846188545227,
-0.3962230384349823,
-0.07489465922117233,
-0.513516366481781,... |
Teacher:In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Teacher: Now, understand the problem? Solve this instance: What river borders the southwest of the state which held the 2005 BMW Charity Pro-Am at The Cli... | Savannah River | 6 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.4072582721710205,
-0.5521743297576904,
-0.029762443155050278,
-0.4915802478790283,
-0.5979741811752319,
-0.0518777035176754,
-0.18208321928977966,
0.41988834738731384,
0.12109608948230743,
-0.33131277561187744,
-0.3002985715866089,
0.2514439821243286,
-0.36603355407714844,
-0.2873758077... |
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then retur... | None | 2 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.3085915744304657,
0.01786920428276062,
-0.6785821914672852,
-0.05235768109560013,
-0.6310200691223145,
-0.002293369034305215,
1.13074791431427,
-0.07868218421936035,
0.41202715039253235,
-0.6353094577789307,
-0.5601730346679688,
0.7205320000648499,
0.08706192672252655,
-0.09215848147869... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
One... | Neither | 6 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5092952251434326,
0.09306547790765762,
0.4231315851211548,
0.2671617865562439,
0.005357775837182999,
-0.7182098031044006,
-0.1634070873260498,
0.7267502546310425,
0.5541563630104065,
0.3573557138442993,
-0.10751579701900482,
-0.35489994287490845,
-0.7757539749145508,
-0.5877813100814819... |
Detailed Instructions: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking cou... | overruling | 9 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.13055160641670227,
0.9527063965797424,
0.42296087741851807,
0.1514967381954193,
0.1148693785071373,
-0.21859368681907654,
0.6234787702560425,
0.42771315574645996,
0.07655070722103119,
-0.5901072025299072,
-0.47210338711738586,
-0.4670417904853821,
-0.5270071625709534,
-0.341711878776550... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Convenhamos, eu digo que sou uma titã.
Student: | Voglio dire, siamo sinceri, io mi autodefinisco un titano. | 6 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
0.41627442836761475,
0.8214811682701111,
0.037118300795555115,
-0.2151571810245514,
-0.4711960256099701,
-0.9013821482658386,
-0.5551750063896179,
1.047459363937378,
0.5920825004577637,
0.17332768440246582,
0.5195761919021606,
0.226893812417984,
-0.28441405296325684,
-0.5697227716445923,
... |
This task is to translate a news commentary given in English language into French 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.
Example: Since their articles appeared, the price of gold has... | Solution: Or l'austérité qui en résultera empêchera l'Europe de retrouver le chemin de la croissance. C'est particulièrement vrai pour les pays européens en difficulté, alors que rien ne bénéficierait davantage à la Grèce qu'un redémarrage économique de ses partenaires commerciaux. | 5 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.40574175119400024,
0.8331159353256226,
-0.2267725169658661,
-0.0371783971786499,
0.2948314845561981,
-0.09993134438991547,
-0.02286277897655964,
0.9160539507865906,
-0.023084774613380432,
0.0941295474767685,
-0.5945134162902832,
-0.006454409100115299,
-0.5090567469596863,
-0.25964447855... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Ex Input:
rguceHoehHzcKLmCtlasIGbx, NdeJdiXoehHzcKLmCtlaFxxdc
Ex Output:
a, c, d, e, f, h, i, j, k, l, m, n, o, t, x, z
Ex In... | a, d, e, f, g, j, l, m, n, p, q, t, u, v, w, x, y
| 1 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.2846103310585022,
0.8421871066093445,
-0.10600543767213821,
-0.3400055766105652,
0.18650594353675842,
0.27828219532966614,
0.9807791709899902,
-0.055290594696998596,
-0.2418718934059143,
0.04272758215665817,
-0.8637848496437073,
-0.35223937034606934,
0.05914153531193733,
-0.260887414216... |
Given the task definition and input, reply with output. In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Def... | most_eq { all_rows ; country of origin ; philippines } | 5 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.18304254114627838,
-0.0058796894736588,
-0.22630560398101807,
0.3827221095561981,
0.20069357752799988,
-0.32950571179389954,
0.5428253412246704,
0.3829424977302551,
0.10981280356645584,
-0.4395679831504822,
-0.5181432366371155,
0.15695372223854065,
-0.26048728823661804,
0.527840971946716... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for Pe... | like they have to take care of a child | 0 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.10107634961605072,
0.026264870539307594,
0.3301316499710083,
-0.47093823552131653,
-0.2105904519557953,
-0.48437219858169556,
1.3646464347839355,
0.4577370882034302,
0.42662501335144043,
-0.33833640813827515,
0.2455405294895172,
0.006089258007705212,
-0.30060723423957825,
0.4025803804397... |
Teacher:This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not men... | What year was the Alaska Railroad destroyed? | 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.4641440510749817,
0.1462995857000351,
-0.1940147578716278,
0.48229458928108215,
-0.26272818446159363,
0.11288654804229736,
0.2753683924674988,
0.24242177605628967,
-0.24316143989562988,
-0.29109418392181396,
-0.28844115138053894,
0.23431241512298584,
-0.8882424831390381,
-0.5857744216918... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
PROBLEM: So it's a little bit like "" Star Wars, "" you know, but it's real.
SOLUTION: まるでスターウォーズのようですが本物です
PROBLEM: I feel up to that point I had seen a lot in the world, a lot of violence.
SOLUTION: 暴... | 我々はこういったものを開発し皆が様々な障害の治療を研究できるよう世界中で数百のグループに自由に共有しています
| 8 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.5033496022224426,
0.3719314932823181,
-0.06696303188800812,
-0.2537479102611542,
-0.37785565853118896,
-0.4241189658641815,
0.7452203631401062,
0.9330841302871704,
0.3757249116897583,
-0.6351815462112427,
0.012003169395029545,
0.10352484881877899,
-0.5515861511230469,
0.02210581861436367... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
See one example below:
Problem: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Solution: Bueno, yo digo nada, pero en realidad hay una... | Unas 20 mil millones de toneladas por día de vapor de agua extraídas por los vientos del noreste, que eventualmente se precipitan en forma de lluvia sobre la cuenca del Plata. | 4 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.2740709185600281,
0.4995706379413605,
-0.43562889099121094,
-0.09606438130140305,
-0.7313675284385681,
-0.4029882550239563,
0.742620587348938,
0.3364638686180115,
-0.26571232080459595,
-0.27427056431770325,
-0.900055468082428,
0.5448188781738281,
-0.31190958619117737,
0.0781496092677116... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: What should I learn for game programming?, Question2: What should be the first programming language I learn if I want to become a game developer?
A: | Yes | 4 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.3656828999519348,
0.6638259291648865,
-0.20317405462265015,
0.23234981298446655,
-0.5433287024497986,
-1.265036702156067,
0.43455246090888977,
0.40228450298309326,
-0.3788082003593445,
-0.32375848293304443,
0.39917081594467163,
-0.7365115880966187,
-0.8107005953788757,
-0.34454208612442... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Example input: The site collects your cookies or tracking elements for a basic servic... | Health | 3 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.8348192572593689,
-0.11269314587116241,
-0.6243159770965576,
0.17122520506381989,
-0.6247764825820923,
-0.7382223606109619,
0.10932128876447678,
0.3689565360546112,
-0.1107785627245903,
0.8858100175857544,
0.7154512405395508,
0.055163681507110596,
-0.06703566759824753,
-0.05023801699280... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
E isto pode parecer-vos anti-social, mas para nós era apenas uma forma diferente de ser social.
Output: | Może się to wydać aspołeczne, ale nam dawało poczucie bliskości | 1 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.42970436811447144,
0.9546681642532349,
0.1895487904548645,
0.0880192369222641,
-0.2916364073753357,
-0.0730820745229721,
0.6343399882316589,
0.10655638575553894,
1.2036194801330566,
0.3848590850830078,
-0.7301784753799438,
0.5218775272369385,
-0.511046290397644,
-0.27495723962783813,
... |
instruction:
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the... | 11
| 9 | NIv2 | task244_count_elements_in_set_union | fs_opt | [
0.2711971700191498,
0.49803781509399414,
-1.1236515045166016,
0.10114734619855881,
-0.19198042154312134,
-0.5683298110961914,
0.41223084926605225,
0.45520395040512085,
-0.4791289269924164,
-0.2889328598976135,
-0.9780281186103821,
-0.08587486296892166,
-0.16142821311950684,
-0.081755131483... |
Given the task definition and input, reply with output. In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: In 1897, Andrée... | Andrée expedition. | 5 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.052023738622665405,
0.44302231073379517,
-0.5142272114753723,
-0.18756037950515747,
0.30010735988616943,
-0.06781667470932007,
0.4060658812522888,
-0.022345319390296936,
-0.289770245552063,
0.2223356068134308,
-0.25313684344291687,
0.9853605031967163,
-0.5893601179122925,
0.3248277306556... |
Detailed Instructions: Given a sentence in the English language, translate it into the Nepali language.
Problem:Text: In natural sciences, the theory of cause and effect is based on a variable assumption.
Solution: | प्राकृतिक विज्ञानहरुमा कार्यकारण सिद्धान्त एक चलराशि मान्यतामा आधारित हुन्छ ।
| 8 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.43217262625694275,
0.501707911491394,
-0.027245188131928444,
-0.22137925028800964,
-0.5734868049621582,
-0.8788118362426758,
0.41812098026275635,
0.3016561269760132,
0.08099246770143509,
-0.5889143943786621,
-0.25837627053260803,
-0.02838301472365856,
-0.4782697856426239,
0.486299216747... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener
| 5 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.16834768652915955,
0.28967392444610596,
0.23175282776355743,
0.28221046924591064,
0.026961825788021088,
-0.9772226810455322,
0.3892841041088104,
1.0406979322433472,
0.25651413202285767,
-0.40310484170913696,
-1.4077712297439575,
-0.19138887524604797,
-0.007255370728671551,
-0.2097171545... |
instruction:
Predict the next word given an incomplete English Sentence.
question:
they were good you know the asylum people but there is so little scope for the imagination in an asylum only just in the other orphans it was
answer:
pretty
question:
the fact being that every one was too much occupied in his or her ow... | a
| 9 | NIv2 | task963_librispeech_asr_next_word_prediction | fs_opt | [
1.0170713663101196,
0.8329048752784729,
-0.06708817929029465,
-0.7551791667938232,
-0.4856904149055481,
-1.6617988348007202,
0.5182834267616272,
-0.05414070188999176,
0.2219548523426056,
0.02566591463983059,
-0.5806601047515869,
0.13233184814453125,
-0.7533220052719116,
0.16925624012947083... |
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".
Ex Input:
Abstract: Epitope vaccine is a promising option for therapeutic vaccination against Helicobacter pylori (H. pylori) infection. ... | no
| 1 | NIv2 | task1587_scifact_classification | fs_opt | [
0.51068115234375,
-0.30594855546951294,
-0.2099212408065796,
0.6481364965438843,
0.5825511813163757,
-0.7947461009025574,
1.0882978439331055,
0.9584124088287354,
-0.07952328026294708,
0.3486912250518799,
-0.7303130626678467,
0.3778870701789856,
-0.05748933553695679,
0.35628730058670044,
... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) being mad at my parents
(B) being upset because my wife won't let me come to our newborn gender... | A | 4 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.5058786869049072,
0.0971343070268631,
-0.059912845492362976,
-0.42401883006095886,
-0.6597729921340942,
-0.25216326117515564,
-0.2432643175125122,
0.19700810313224792,
0.8719093203544617,
0.4965422749519348,
-0.72796630859375,
0.30160465836524963,
0.1270865648984909,
-0.9008683562278748... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
[E... | Offensive
| 6 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.28537648916244507,
0.013984167017042637,
0.34223926067352295,
0.8276703953742981,
-0.2295471876859665,
-0.9208469986915588,
-0.10552874952554703,
1.0063921213150024,
0.16537253558635712,
0.3270588219165802,
0.004933343268930912,
-0.6841110587120056,
-0.9750283360481262,
-0.9695882797241... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: ザヒド氏は警察に対し、彼の兄弟が電話に出なかったので、木曜日の夜遅くに兄弟の家に急いで向かったと言った。
Example Output: Zahid ប្រាប់ប៉ូលីសថា គាត់បានប្រញ៉ាប់ទៅទីកន្លែងរបស់បងប្រុសគាត់... | គាត់ប្រកាសថានៅពេលគាត់បានឡើងជានាយកទីផ្សារគាត់បានសួរមីលល័រថាបើគាត់អាចចប់ចូលរួមវគ្គព្រំដែនរឺអត់តែត្រូវគេនិយាយថាវាជាបញ្ញតិ្តសំរាប់ថ្នាក់ប្រតិបត្តិរបស់ក្រុមហ៊ុងទាំងអស់គ្នាហើយព្រំដែនគឺជា"ក្រុមហ៊ុនមានភាសាពិសេស។"
| 3 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.2069825828075409,
-0.42656540870666504,
-0.1969253122806549,
-0.3128198981285095,
0.16880516707897186,
-0.3881433308124542,
0.7119706869125366,
0.09543067216873169,
-0.6220404505729675,
0.31044802069664,
-0.9137935638427734,
0.19753479957580566,
-0.7925589084625244,
-0.00958126410841941... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Problem:cpppcpcpcpcpcp
Solution: | pcpcpcpcpcp | 8 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.3851308226585388,
0.9498238563537598,
-0.45919546484947205,
-0.28017657995224,
-0.6121526956558228,
-0.3800291419029236,
1.0859487056732178,
-0.05042525380849838,
0.1504717320203781,
-0.3974619209766388,
-0.5045713186264038,
-0.0332290418446064,
-0.533018946647644,
0.12671644985675812,
... |
Definition: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: Masaki Kobayashi directed which movies?
Output: | Harakiri, Kwaidan, Samurai Rebellion, Black River | 2 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
0.009775561280548573,
-0.05881671607494354,
-0.6758825778961182,
0.33656197786331177,
-0.531424343585968,
0.5603271722793579,
1.155465841293335,
-0.3865548372268677,
0.37567925453186035,
-0.2187785655260086,
-0.9528091549873352,
-0.38951486349105835,
0.013268998824059963,
0.389802575111389... |
Given the task definition and input, reply with output. 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.
['b', 'F', '9743']
| 9743 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.08343087136745453,
0.8983925580978394,
-0.644119381904602,
-1.1014437675476074,
-0.3465908169746399,
0.22283074259757996,
0.5143845081329346,
-0.3161904513835907,
-0.057080116122961044,
0.023983724415302277,
-0.8496243953704834,
0.3677786886692047,
0.27162888646125793,
-0.187027096748352... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Q: ... | Hate Speech | 4 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-1.4024531841278076,
0.6773148775100708,
0.48702073097229004,
0.689234733581543,
-0.383198082447052,
-0.5541507005691528,
-0.11418194323778152,
0.6805022954940796,
0.48687922954559326,
0.4320034682750702,
-0.45128098130226135,
-0.3603707551956177,
-0.8034071326255798,
-0.8525623083114624,
... |
TASK DEFINITION: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relations... | jaw
| 8 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.4115521013736725,
0.38766977190971375,
0.024893831461668015,
-0.2282605916261673,
-0.46183016896247864,
0.007103295065462589,
0.11316969245672226,
-0.12373948842287064,
0.20998963713645935,
-0.6338420510292053,
-0.7194831371307373,
0.2513241171836853,
-0.5293512344360352,
0.406382024288... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Hanno preso i telai di queste grandi bici, messi insieme alla meccanica delle bici da corsa, hanno preso i freni delle moto, e hanno mischiato i vari ingredi... | Więc wzięli ich ramy, dodali przerzutki z rowerów szosowych, dołożyli hamulce motocyklowe, połączyli części różnych rowerów. | 6 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.17084574699401855,
0.8375308513641357,
-0.427873432636261,
-0.04226528853178024,
-0.44286876916885376,
-0.22376301884651184,
0.34248483180999756,
0.5759941339492798,
-0.2287348508834839,
-0.5497035384178162,
-0.6895263195037842,
0.49503034353256226,
0.18775102496147156,
0.19617381691932... |
Instructions: In this task you are given a premise and two alternatives in Haitian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your j... | 2 | 3 | NIv2 | task1168_xcopa_commonsense_reasoning_ht | zs_opt | [
-0.431537926197052,
0.15267236530780792,
-0.32482728362083435,
0.6785971522331238,
-0.3502480387687683,
0.018188048154115677,
0.2830784320831299,
0.26565417647361755,
0.237637460231781,
-0.13641729950904846,
-1.1316146850585938,
-0.24704712629318237,
0.027873709797859192,
0.156499296426773... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk right thrice and look around left
| 7 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.37619906663894653,
0.960002601146698,
-0.48691049218177795,
0.23552826046943665,
-0.20025427639484406,
0.24414758384227753,
-0.07743685692548752,
0.693035900592804,
-0.19409294426441193,
-0.41892778873443604,
-1.0232434272766113,
-0.24954785406589508,
-0.6813072562217712,
0.0445739179849... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
این مساله کاملا شخصی است.
| It's something very personal. | 5 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.872828483581543,
1.0055491924285889,
0.42900484800338745,
-0.06490346789360046,
-0.03480160981416702,
-0.2732551097869873,
0.8056966066360474,
-0.1191239058971405,
0.590804934501648,
-0.07886204123497009,
-0.17021961510181427,
0.9178178310394287,
-0.19269990921020508,
0.1534961313009262... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: "" ¿Que facemos agora?
[A]: "" ¿Qué hacemos ahora?
[Q]: Un compañeiro chamado Matthew Harris da Universidade de Wisconsin, en Madison, descubriu unha maneira de estimular o xene dos dentes, e foi capaz activar o x... | Nadie se levanta en la mañana pensando: "" ¡Guau! Voy a comprar de 3 a 12 moléculas de carbono para poner en el tanque y conducir feliz a mi trabajo "". No, pensamos "" ¡Uh! Tengo que comprar combustible.
| 5 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.29631710052490234,
0.822166919708252,
-0.22115558385849,
-0.8907935619354248,
-0.6700649857521057,
-1.3564659357070923,
-0.004016207531094551,
1.0553559064865112,
0.10320494323968887,
0.1000288650393486,
-0.27004557847976685,
0.39080578088760376,
-0.2785530686378479,
-0.212911918759346,... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: Japanese: 「私達は信頼できるすべての党に人権に対するそのような侵害を直ぐに止めるよう訴え、そして、一つ一つ独立してこれらの事件を調査することにいち早く着手するよ... | No
| 3 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.22257882356643677,
-0.33946847915649414,
0.052461158484220505,
0.1681671142578125,
0.3372615575790405,
-0.6863510608673096,
0.5206635594367981,
0.38018569350242615,
-0.47321557998657227,
-0.09864004701375961,
0.112911157310009,
0.29185834527015686,
-0.7032848596572876,
0.1224467009305954... |
You are given a sentence and your task is to generate another sentence that supports the given input.
Input: Consider Input: The carbon atoms in these chains and rings can then form bonds with other elements in many ways to produce various functional groups.
Output: Carbon (c) is essential to living organisms because... | Output: Continually increasing the pressure on the liquid will eventually cause the substance to solidify.
| 2 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
0.7816042900085449,
0.9440021514892578,
-0.13927146792411804,
-0.6210570335388184,
0.17438480257987976,
-1.5162227153778076,
0.17686989903450012,
0.5441122055053711,
-1.249817967414856,
0.14999303221702576,
-0.3325892686843872,
-0.8507049083709717,
-1.136634349822998,
-0.13270923495292664,... |
Given the task definition and input, reply with output. In this task, given a sentence in the Thai language, your task is to convert it into the English language.
จากการศึกษาโครงสร้างของกระดูกพบว่าเขาได้รับบาดเจ็บที่หัวเข่าอย่างรุนแรง และมีปัญหาเกี่ยวกับฟัน
| The skeleton of this man reveals that he had serious knee injury and tooth problems. | 5 | NIv2 | task537_alt_translation_th_en | zs_opt | [
0.05315304920077324,
0.7595303654670715,
0.2416495680809021,
-0.5465663075447083,
0.2558271884918213,
-0.3558526039123535,
0.4897700250148773,
0.5982968211174011,
0.20034436881542206,
-0.19603636860847473,
-0.06289978325366974,
0.9980921745300293,
-0.3256264328956604,
0.5248093605041504,
... |
instruction:
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: PEOPLE & PLACES
Clue: The people of this British dependency i... | michael keaton
| 9 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
0.5824428796768188,
0.6194171905517578,
-0.23651939630508423,
-0.5100400447845459,
0.136797696352005,
-0.95657879114151,
1.0929654836654663,
-0.20361953973770142,
0.7998436689376831,
0.2901453375816345,
-0.16468527913093567,
-0.46738117933273315,
-1.0554680824279785,
-0.06428439170122147,
... |
Given the task definition and input, reply with output. In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly... | World | 5 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.8864134550094604,
0.039185941219329834,
-0.2727012634277344,
0.6059726476669312,
-0.275346577167511,
0.3422629237174988,
-0.18052519857883453,
-0.2673793435096741,
0.10364982485771179,
0.22020569443702698,
-0.33357810974121094,
0.6683468222618103,
0.07383172959089279,
0.1749287247657776... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Example: "" אף אדם אינו אי העומד בפני עצמו.
Output: "" Nessun uomo è un'isola completamente a sé.
The Hebrew sentence is correctly translated into I... | Ma uno studio successivo ha raggruppato alcune persone a cui piaceva Mozart e poi un altro gruppo di persone a cui piacevano le storie dell'orrore di Stephen King. | 1 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.4878518581390381,
0.6434060335159302,
-0.23917734622955322,
0.05444791540503502,
-0.09973224997520447,
-0.5840507745742798,
0.5395387411117554,
0.2954132556915283,
0.08894196152687073,
-0.26686757802963257,
-0.8287047743797302,
0.2491367906332016,
-0.5883733630180359,
-0.017262708395719... |
Detailed Instructions: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute dist... | 1 | 4 | NIv2 | task1445_closest_integers | fs_opt | [
-0.4402737319469452,
0.24130159616470337,
-0.06013360992074013,
-0.020409954711794853,
-0.0011984225129708648,
-0.22828379273414612,
0.7387917041778564,
0.19663120806217194,
0.06123720109462738,
-0.1116378903388977,
-0.2521197497844696,
-0.274521142244339,
-0.512175440788269,
-0.3003159165... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Pa, ima svojih prednosti i nedostatka.
| 1 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.1575814038515091,
0.2578030824661255,
-0.03468681871891022,
0.028810866177082062,
-0.06688295304775238,
-1.115309715270996,
0.7996773719787598,
0.15662936866283417,
-0.2576170265674591,
-0.4535484313964844,
-0.38324880599975586,
0.8762911558151245,
-0.9789819717407227,
0.076563514769077... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Y si observa a las culturas del mundo, lo único que tiene que hacer es entender la mitología y verá cómo se comportan, cómo hacen negocios.
A: | Jeśli spojrzycie na kultury na całym świecie, musicie jedynie zrozumieć mitologię, aby pojąć, jak się zachowują i jak prowadzą biznesy. | 4 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.9216701984405518,
1.0261192321777344,
0.09251156449317932,
-0.36504507064819336,
-0.4023185670375824,
-1.0660089254379272,
-0.319882869720459,
-0.5141035318374634,
-0.5377899408340454,
-0.5121818780899048,
-0.4039361774921417,
-0.27423959970474243,
-0.5407679080963135,
0.214825242757797... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
The site collects your generic personal information for analytics or research. Collec... | Generic personal information | 0 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-1.0887194871902466,
-0.15105319023132324,
-0.6334939002990723,
0.29816707968711853,
-0.6694105863571167,
-0.917932391166687,
0.01857176423072815,
0.02009320631623268,
0.27857160568237305,
0.7592043876647949,
0.30826687812805176,
0.1356309950351715,
-0.4631544351577759,
-0.3319499492645263... |
Instructions: In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
In... | The professor called the scientists . | 3 | NIv2 | task1364_hans_answer_generation | zs_opt | [
-0.39462393522262573,
0.5135976076126099,
0.002349148504436016,
-0.5115727782249451,
0.03499382734298706,
-0.28798264265060425,
-0.3414562940597534,
-0.15494391322135925,
0.6635322570800781,
-0.7835175395011902,
-0.9124710559844971,
-0.5979796051979065,
0.05031229555606842,
-0.299434721469... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example input: Terán seguro para pagar a receita?
Example output: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Apple encripta por ... | iPhoneに保存されるデータはすべてデフォルトで暗号化され利用者間でやり取りされるテキストメッセージもデフォルトで暗号化されていますユーザーが設定する必要はありません | 3 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.6241860389709473,
0.8116831183433533,
0.11057029664516449,
-0.841071367263794,
-0.06728432327508926,
-1.2682723999023438,
0.9790722131729126,
-0.1203029602766037,
-0.14777451753616333,
-0.47426754236221313,
-0.10550719499588013,
0.4422919452190399,
-0.605663537979126,
0.6099945306777954... |
Instructions: In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "si... | polarity | 3 | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt | [
-1.5253669023513794,
0.6046110391616821,
0.6960129737854004,
-0.2545045018196106,
-0.25672656297683716,
0.3394675850868225,
0.1512564718723297,
0.06792216747999191,
0.6444464921951294,
-0.0919220894575119,
-0.507849395275116,
-0.34753331542015076,
-0.19206207990646362,
-0.10134747624397278... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Ex... | Offensive | 3 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.7267629504203796,
0.40487033128738403,
0.6289011836051941,
0.3764752149581909,
-0.26011788845062256,
-0.5397757291793823,
0.00044056540355086327,
0.5772181749343872,
0.3765351176261902,
0.11876377463340759,
-0.0072266957722604275,
-0.4616057276725769,
-0.918870747089386,
-0.806799054145... |
Detailed Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Q: prime, firstrate, alert, fine, prison
A: | alert | 9 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
1.3725922107696533,
0.30382317304611206,
-0.09299817681312561,
-0.3085903227329254,
-0.122681625187397,
-0.5481176376342773,
0.022893434390425682,
0.6249169707298279,
0.11260218918323517,
0.09712690114974976,
-1.2880465984344482,
-0.8963597416877747,
-1.0548522472381592,
0.1674285382032394... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) ... | 5 stars | 0 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.12781155109405518,
0.3483628034591675,
-0.17945384979248047,
-0.08967900276184082,
0.4508746266365051,
-0.2515257000923157,
0.47858449816703796,
1.2396526336669922,
-0.08261825144290924,
-0.2542869448661804,
0.06163769215345383,
-0.035177081823349,
-0.8054485321044922,
0.3350030183792114... |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of n... | Output: [7]
| 2 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.5106180906295776,
0.11465971916913986,
-0.5022755861282349,
-0.04475398361682892,
0.20303130149841309,
-0.06722445785999298,
0.7010257840156555,
0.8796509504318237,
-0.4034516215324402,
0.2329130321741104,
-0.9174131155014038,
-0.5180761814117432,
-0.18779659271240234,
-0.199488148093223... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
question:
وأنصح باستخدامها بشدة لاكتشاف مواهبك ومهاراتك الطبيعية.
answer:
Recomendo-o para descobrirem aquilo em que são naturalmente bons.
question:
أمشي في الشوارع كامرأة ، في سلام مع نفسي.
answer:
Ando na ... | Cultura é um termo orgânico, não é?
| 9 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
0.004320844542235136,
1.0353779792785645,
-0.38913190364837646,
-0.27717041969299316,
-0.46741050481796265,
-0.30005961656570435,
0.4475117325782776,
0.004652065224945545,
0.5309361815452576,
-0.3470454514026642,
-0.5792055130004883,
0.26588839292526245,
-0.9320664405822754,
0.284797638654... |
Q: In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to ... | Stereotype | 7 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.05689487233757973,
0.28887832164764404,
0.1168726459145546,
0.45115000009536743,
0.02759474515914917,
0.032685600221157074,
0.8065268993377686,
0.7617562413215637,
0.24274888634681702,
-0.31126290559768677,
-0.8649389743804932,
0.1802120804786682,
-0.49862241744995117,
-0.04596163704991... |
Detailed Instructions: 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: An airpor... | History | 9 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.11634419858455658,
1.0545750856399536,
0.30437546968460083,
-0.32378020882606506,
0.11356055736541748,
0.5108970403671265,
0.39582741260528564,
0.9170469045639038,
0.20416134595870972,
0.15386399626731873,
-0.39600613713264465,
0.30302947759628296,
-1.0762959718704224,
0.032945927232503... |
Definition: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answ... | 15032 | 2 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.18806292116641998,
0.17333704233169556,
-1.3438113927841187,
0.1438950002193451,
-0.3812728822231293,
-0.34000200033187866,
0.47239792346954346,
1.4293766021728516,
0.6909731030464172,
0.21339790523052216,
-0.7753391265869141,
-0.46787723898887634,
0.314691960811615,
0.23298153281211853,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not p... | plausible | 1 | NIv2 | task391_causal_relationship | zs_opt | [
-1.2129733562469482,
0.5570026636123657,
0.3675187826156616,
-0.38876402378082275,
-0.029685107991099358,
0.5421876907348633,
0.2239162176847458,
1.081812858581543,
0.5633887052536011,
0.263837993144989,
-0.15483586490154266,
0.049834925681352615,
-0.0642547458410263,
-0.36407896876335144,... |
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.
Comment: I cannot wait to see Drumpf out of there and We, The People, get to roll back every s... | Non-insult
| 0 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.6112511157989502,
0.6101808547973633,
0.8248876333236694,
-0.08273306488990784,
-0.03785603493452072,
-0.1548582911491394,
0.6175916194915771,
0.6715059280395508,
0.3724662661552429,
0.5540010333061218,
0.21091511845588684,
-0.09959401190280914,
-0.09509243071079254,
-0.8714172840118408... |
Instructions: In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: ['H', '6775', '675', '4477', '329', 'E', '6477', '1315', '9737', 'x', 's', '3515... | 8, 6775, 675, 4477, 329, 5, 6477, 1315, 9737, 24, 19, 3515, 9573, 15, 6503, 14, 5955, 9491, 1391, 22, 5735, 6, 9941, 6997, 16, 525, 5021, 8, 25, 10, 13, 3697, 3113, 20 | 3 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.15280552208423615,
-0.23229098320007324,
0.14911602437496185,
-0.21078293025493622,
0.20129062235355377,
-0.880423903465271,
-0.40111687779426575,
0.0882873684167862,
0.20230720937252045,
-0.13156333565711975,
-0.7967464923858643,
-0.14718806743621826,
0.3806019425392151,
-0.44105163216... |
Detailed Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, ... | Non-hateful | 9 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.6205016374588013,
0.037650857120752335,
0.49045857787132263,
0.5790764689445496,
-0.054984159767627716,
-1.050778865814209,
0.5848718881607056,
1.428210735321045,
-0.12198539078235626,
0.47867435216903687,
-0.1717648208141327,
0.28615623712539673,
-0.5321899652481079,
-0.247394174337387... |
Instructions: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Input: Have you read any bestsellers lately?
Output: | In the past | 3 | NIv2 | task565_circa_answer_generation | zs_opt | [
-0.7513400316238403,
0.9530797004699707,
0.12075278908014297,
-0.1936323046684265,
0.2900073528289795,
-0.31448763608932495,
0.8607122302055359,
-0.5944066047668457,
0.4957526922225952,
-0.18422384560108185,
-1.2247555255889893,
-0.17889893054962158,
-1.3816834688186646,
-0.152408286929130... |
instruction:
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mix... | Use organic apple juice. Put a small amount of apple juice on a cotton ball. Place the cotton ball on the mole and bandage it securely in place with a bandage. Repeat this process twice a day with fresh cotton balls for at least 7 days.
| 9 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.11389768868684769,
0.7655854225158691,
-0.7997549772262573,
0.07828979194164276,
0.2286606729030609,
-0.4495428800582886,
0.38275521993637085,
0.9037423133850098,
-0.3554525077342987,
0.626144528388977,
-0.6248892545700073,
0.7671627402305603,
-0.5429495573043823,
0.11083434522151947,
... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Solar energy. | 3 | NIv2 | task041_qasc_answer_generation | fs_opt | [
-0.0008231975371018052,
1.0588464736938477,
-0.28010743856430054,
-0.18192720413208008,
-0.654245138168335,
-1.8958687782287598,
0.4571872353553772,
0.6649213433265686,
-0.07368431240320206,
0.009965794160962105,
-0.9383760690689087,
0.5422108173370361,
-0.40203148126602173,
-0.25099778175... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Example Input: In Germany , the group led by Brandler and Thalheimar , Roy 's friends , was thrown out for the same reason .
Example Output: जर्मनी में भी राय के... | इससे पूर्व महादेवी वर्मा को ‘नीरजा' के लिये १९३४ में ‘सक्सेरिया पुरस्कार' १९४२ में ‘स्मृति की रेखाएँ' के लिये ‘द्विवेदी पदक' प्राप्त हुए।
| 3 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
-1.0570622682571411,
0.9040049314498901,
-0.2709628939628601,
0.16773435473442078,
-0.41819724440574646,
0.014005564153194427,
0.16854986548423767,
-0.08379785716533661,
0.2142070233821869,
-0.2054707407951355,
-0.8524604439735413,
0.20480304956436157,
-0.36903005838394165,
0.0314435251057... |
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... | Solution: DT | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5762744545936584,
0.6887288689613342,
-0.3684273064136505,
0.1105811819434166,
0.21989524364471436,
-0.8927707672119141,
0.7245485186576843,
0.5763821601867676,
-0.6103776693344116,
-0.1549530029296875,
-0.1811189502477646,
0.3709143400192261,
-0.6284621357917786,
-0.0038554987404495478,... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
SK: Non.
A: | سام: لا. | 7 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.7133877873420715,
1.351071834564209,
0.23053091764450073,
-1.3088856935501099,
-0.17877551913261414,
-0.7548665404319763,
-0.0758056789636612,
-0.4593009352684021,
0.2115165889263153,
0.7054082155227661,
1.0684767961502075,
-0.08794061839580536,
-0.7771732807159424,
0.6484010219573975,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | These two individuals are not the same sex. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.42313966155052185,
0.41769468784332275,
0.16693346202373505,
-0.4988884925842285,
-0.01916741020977497,
0.39159494638442993,
0.1754455864429474,
0.3941367566585541,
0.4074026346206665,
-0.21172082424163818,
-0.4231595993041992,
-1.2860486507415771,
-0.2527553141117096,
0.014144333079457... |
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.
Q: เธอได้รับการปลอบใจโดยผู้ช่วยบาทหลวงจากโบสถ์เวียดนาม
A: | 彼女は、ベトナムの教会から来た仲間の牧師によって慰められていた。 | 4 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.18799333274364471,
0.26329129934310913,
-0.6953125596046448,
-0.010669399984180927,
-0.0862637385725975,
-1.0965087413787842,
1.1967298984527588,
-0.05948834866285324,
0.42968904972076416,
-0.13463665544986725,
-0.10032004117965698,
0.7723222970962524,
-0.74720299243927,
1.09085083007812... |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix... | Yes
| 1 | NIv2 | task1442_doqa_movies_isanswerable | fs_opt | [
0.8495056629180908,
0.23531925678253174,
-0.85113525390625,
0.8074167370796204,
0.22628650069236755,
-0.8666613698005676,
0.749083399772644,
0.6851980686187744,
-0.09863293170928955,
-0.07458283007144928,
-0.12333355098962784,
0.2945024371147156,
-0.8462796807289124,
0.7095022201538086,
... |
Teacher: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 ... | They often have no money and have children. | 6 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.07487379759550095,
0.7179206609725952,
-0.5993897914886475,
-0.7008566856384277,
1.0074186325073242,
-0.5520222187042236,
0.7513526678085327,
1.1476563215255737,
0.013303657062351704,
0.14900246262550354,
-0.3292849659919739,
0.7248579263687134,
-1.062276840209961,
-0.5455584526062012,
... |
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
Ex Input:
The d... | The managers mentioned the scientists .
| 1 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.313520610332489,
-0.0005560985300689936,
-0.4045069217681885,
0.07200460880994797,
0.24724993109703064,
-0.468818724155426,
0.27418774366378784,
0.2194892317056656,
0.58782559633255,
-0.6465740203857422,
-1.0089590549468994,
0.04212718829512596,
-0.23278683423995972,
-0.266846239566803,... |
instruction:
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".
question:
Article: the rafah crossing between the hamas-ruled gaza strip and egypt was opened on saturday to allow hun... | no
| 9 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.16871590912342072,
-0.523650050163269,
-0.29127055406570435,
-0.31198275089263916,
-0.5109012722969055,
-0.8123079538345337,
0.465215265750885,
0.30016854405403137,
-0.055146731436252594,
0.8970619440078735,
-0.776424765586853,
0.4295564889907837,
-0.24459384381771088,
-0.01683864183723... |
Teacher:In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Teacher: Now, understand the problem? Solve this instance: Trainer fans who camp... | Kanye West trainers 'sell out in an hour' in Nottingham | 6 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.7619537115097046,
0.7555325031280518,
0.12804310023784637,
0.012459024786949158,
0.03351394832134247,
-0.5537216663360596,
0.05231671780347824,
-0.06193254888057709,
-0.6253820061683655,
0.34631577134132385,
-0.11861130595207214,
0.3615514039993286,
-0.2347932755947113,
-0.2584697008132... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Q: Military Sexual Assault Prevention Act of 2013 - Prohibits any person convicted ... | Military Sexual Assault Prevention Act of 2013 | 9 | NIv2 | task1659_title_generation | zs_opt | [
0.1666596233844757,
-0.0964726060628891,
-0.8294590711593628,
-0.28277647495269775,
0.6618399620056152,
-0.37963196635246277,
1.2484689950942993,
1.0081181526184082,
-0.21526789665222168,
0.14710739254951477,
-0.26471468806266785,
0.7492779493331909,
-0.8721802234649658,
-0.024227827787399... |
Teacher:In this task, you have to generate the title of the recipe given its required ingredients and directions.
Teacher: Now, understand the problem? Solve this instance: ingredients: 'chicken', '1 jar I Feel Like Chicken Tonight',<sep> directions: 'Follow directions on label.', 'This is one of my favorites.'
Studen... | Chicken Tonight | 6 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
-0.8265657424926758,
0.28750738501548767,
0.35590678453445435,
0.1835682988166809,
-0.2348378747701645,
-0.8792412281036377,
0.13770617544651031,
0.3407362699508667,
-0.7129392623901367,
-0.06079478561878204,
0.10823214054107666,
-0.1899491846561432,
-0.9455795288085938,
-0.342113316059112... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun... | During the Battle, Canada lost about 2000 Sailors and 762 members of the Royal Canadian Air Force. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.881550669670105,
0.4243965744972229,
0.1606076955795288,
-1.0060662031173706,
0.3220970034599304,
-0.12063758075237274,
1.060077428817749,
0.3099878132343292,
0.0751628428697586,
-0.07325975596904755,
0.1386735588312149,
-0.19717037677764893,
-0.40487366914749146,
0.10907518863677979,
... |
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: well i can't think of... | telephone | 2 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.2552183866500854,
0.49406933784484863,
0.14642442762851715,
-0.09503014385700226,
0.11646667122840881,
0.340459406375885,
-0.006904404144734144,
0.8362480401992798,
0.35078486800193787,
-0.22987325489521027,
-0.15620627999305725,
0.09328431636095047,
-0.3596474528312683,
-0.410932481288... |
TASK DEFINITION: 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.
PROBLEM: ['H', 'q', 'S', '3929', 'a']
SOLUTION: H, q, S, a
PROBLEM: ['N', 'f', 'z', 'm', 'c', 'h', 'x'... | x, d, V, V, d, W, j, T, j, c
| 8 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
0.4836910367012024,
-0.3948991894721985,
-0.3026157021522522,
-0.09430518746376038,
-0.02516256645321846,
-0.3242746591567993,
0.6354833841323853,
0.38349851965904236,
-0.22180813550949097,
0.17800670862197876,
-0.4500729441642761,
-0.07901515811681747,
0.16942203044891357,
0.2408823072910... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Let me give you an example: ['q', '31', 'a', 'd', '53', '85', 'p', '77']
The answer to this example can be: 1, 3, 5, 7, 8
Here is why: Here, the n... | 2, 4, 5, 9 | 8 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.4806658923625946,
0.3508041203022003,
-0.3782781660556793,
-0.9340013861656189,
0.0795062780380249,
0.37961381673812866,
0.9068135023117065,
-0.020858189091086388,
-0.43914517760276794,
0.4685834050178528,
-0.6194621920585632,
-0.04098626971244812,
-0.7137478590011597,
-0.15107493102550... |
Detailed Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Problem:PersonX forms PersonY opinion
Solut... | to give out ideas | 8 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.26531344652175903,
0.4669223725795746,
0.01798200234770775,
-0.34803837537765503,
-0.21864478290081024,
-0.9286473989486694,
0.6875190734863281,
0.2504553198814392,
0.4176051616668701,
-0.24494607746601105,
-0.13492542505264282,
-0.2649420201778412,
-0.5982625484466553,
0.53682470321655... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: I baked my first batch of these muffins and was pl... | 5 | 3 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.38049378991127014,
-0.35741564631462097,
0.13933256268501282,
0.13944989442825317,
0.5591932535171509,
-0.04711969196796417,
0.26092326641082764,
0.9591124057769775,
-0.19683030247688293,
0.1485728770494461,
-0.39074718952178955,
0.04973103106021881,
-0.8326539993286133,
-0.2302821725606... |
Teacher: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher: Now, understand the... | d, R, v, 3193 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.6238657832145691,
0.2937222421169281,
-0.7256258726119995,
-0.5066447854042053,
-0.29729190468788147,
-0.39758190512657166,
0.2877368628978729,
0.22204703092575073,
-0.9159708619117737,
-0.05629827827215195,
-0.5322649478912354,
-0.3012309670448303,
-0.1880781650543213,
-0.21210283041000... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
One example is below.
Q: English sentence: How is this possible
A: Olee kwere omume?
Rationale: The Igbo translation means the same as the original sentence in the English language.
Q: Engli... | Na a owuwe ihe ubi nke ezi omume a na-agha n'udo site ndị na-eme udo." | 9 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.030784456059336662,
1.2487820386886597,
0.16153237223625183,
0.03443782031536102,
-0.24258019030094147,
-1.6247175931930542,
0.2507178485393524,
0.5502659678459167,
-0.19904865324497223,
-0.6295522451400757,
-0.29095467925071716,
0.16668596863746643,
-0.9149638414382935,
-0.0577133856713... |
Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Reviews: Right eye paint chipp... | True | 3 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.979851484298706,
0.3046591579914093,
0.1992507427930832,
-0.2157931625843048,
0.04696459695696831,
0.061778947710990906,
0.4326673746109009,
0.3460342586040497,
-0.29897403717041016,
0.5363346934318542,
-0.12348835170269012,
0.3905145525932312,
-0.48158150911331177,
0.12722866237163544,... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity,... | None | 8 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.33352458477020264,
0.4269962012767792,
-0.028343508020043373,
-0.02368423342704773,
-0.5164945721626282,
-0.8865770101547241,
1.8011209964752197,
-0.3248670995235443,
-0.1638590395450592,
-0.39995235204696655,
-0.5591627359390259,
0.28246018290519714,
0.24405516684055328,
0.000586484791... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if... | Don't Care | 0 | NIv2 | task1500_dstc3_classification | zs_opt | [
-0.06927931308746338,
0.08867168426513672,
-0.3554145097732544,
-0.18775241076946259,
0.10349126160144806,
-0.65215665102005,
0.5065884590148926,
0.5304840803146362,
-0.02261599898338318,
0.07010868936777115,
0.21304592490196228,
-0.006726715248078108,
-0.37282100319862366,
-0.408082425594... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Let me give... | C | 8 | NIv2 | task190_snli_classification | fs_opt | [
-0.3983920216560364,
0.33866751194000244,
0.5001292824745178,
-0.5502513647079468,
0.36003297567367554,
-1.1237095594406128,
-0.29488405585289,
0.5737801194190979,
0.37138551473617554,
0.3188016414642334,
-0.16734635829925537,
-0.017410235479474068,
-0.2623254954814911,
-0.4850140213966369... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | No | 0 | NIv2 | task630_dbpedia_14_classification | zs_opt | [
-0.377880334854126,
0.5174792408943176,
0.31814074516296387,
-0.9000512957572937,
-0.038377001881599426,
-0.45162224769592285,
0.7294728755950928,
0.02400982938706875,
-0.004322754219174385,
-0.23490279912948608,
-0.4076724946498871,
0.23535066843032837,
-0.5832567811012268,
-0.03573209792... |
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 context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer wi... | egypt | 0 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.40987318754196167,
0.44945019483566284,
-0.8816239833831787,
-0.34904149174690247,
0.5000466704368591,
0.32408326864242554,
0.5504505038261414,
0.7647844552993774,
-0.274270623922348,
-0.0222959965467453,
-0.21119320392608643,
0.9725620746612549,
-0.5357750654220581,
0.5240347385406494,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | Two coworkers are waiting for the bus home.
| 5 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.2700403928756714,
0.8957237005233765,
0.3572654128074646,
-0.824695348739624,
0.3885129690170288,
-0.4779491424560547,
-0.057061463594436646,
0.4948100745677948,
0.3607746362686157,
-0.6140389442443848,
-0.8716275691986084,
-0.6361963748931885,
-0.5985655784606934,
-0.1033795028924942,
... |
Q: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Which of these was the title of a 1959 Everly Brothers song?
A: | poor jenny | 7 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.4500274062156677,
1.7585968971252441,
-0.40067189931869507,
-0.20408785343170166,
-0.36773407459259033,
-0.8506953716278076,
0.6530184745788574,
0.27429890632629395,
0.3210430145263672,
-1.2032955884933472,
-0.7590358257293701,
0.06470724940299988,
-0.7100712060928345,
0.0518657900393009... |
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