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.
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and ... | Response 2 | 1 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
-0.033020421862602234,
0.7976219654083252,
0.6458617448806763,
-0.3889307975769043,
0.5444499254226685,
-0.4030965566635132,
0.06486634165048599,
0.42012855410575867,
0.04895227402448654,
-0.3921898603439331,
-0.2836079001426697,
-0.24037548899650574,
-0.41266554594039917,
0.19980967044830... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be compl... | Who is Holly's Hollywood agent? | 1 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.4796242117881775,
0.5208908319473267,
-0.5521326065063477,
0.6500732898712158,
0.3095182180404663,
-0.20473244786262512,
0.3835272789001465,
0.8267956972122192,
-0.05231311172246933,
0.07807056605815887,
-0.3367769122123718,
0.3320547938346863,
-0.4434698224067688,
-0.06621565669775009,
... |
Detailed Instructions: 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.
See one example below:
Problem: Sentence: xname is a high-pric... | price[moderate], eattype[coffee shop], familyFriendly[no] | 4 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.3865254521369934,
0.22242534160614014,
-0.5894129276275635,
-0.6026805639266968,
-0.21687623858451843,
0.3599373996257782,
1.02553129196167,
0.7370038032531738,
0.5225980281829834,
-0.12466604262590408,
0.6559463739395142,
-0.06434779614210129,
-0.4675074815750122,
-0.017568036913871765... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Example input: English sentence: Lionel Messi is the greatest football player of all time
Example output: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example explanation: T... | iyadoo laga abaal marin ah waxa ay falsayeen "Quraanka 32:. 16-7 | 3 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.6682533621788025,
1.1748301982879639,
-0.4177486002445221,
-0.4304060637950897,
-0.06990586966276169,
-1.0360559225082397,
-0.1703750193119049,
0.5698676109313965,
0.6971174478530884,
-0.3170086741447449,
0.057469334453344345,
1.2504726648330688,
-1.114446759223938,
0.239641934633255,
... |
You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Ex Input:
Being taller than Jeff, Jack could dunk more basketballs
Ex Output:
T... | False
| 1 | NIv2 | task116_com2sense_commonsense_reasoning | fs_opt | [
-0.5034950971603394,
0.41681426763534546,
-0.5033634901046753,
0.17204535007476807,
0.20537889003753662,
-0.39739537239074707,
0.5188825726509094,
1.3160749673843384,
-0.1160992756485939,
0.11732011288404465,
-0.2325085997581482,
0.6366372108459473,
-0.7159035205841064,
-0.1521458029747009... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
See one example below:
Problem: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Solution: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Explanation: This is a good exam... | I've been a junior designer doing fittings for a year. | 4 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.9284889101982117,
0.7609533071517944,
-0.07984018325805664,
-0.918043851852417,
-0.34939926862716675,
-1.0266530513763428,
0.33939552307128906,
1.1221070289611816,
0.7267768383026123,
-0.6135110855102539,
-0.22731667757034302,
1.1396675109863281,
-0.256938636302948,
0.45271262526512146,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
-0.005119984038174152,
-0.06926120817661285,
0.24489593505859375,
-0.2028777152299881,
-0.8443398475646973,
-0.5753582119941711,
1.3539695739746094,
0.15852752327919006,
-0.9281203746795654,
-0.5520220994949341,
-0.3154078423976898,
-0.09028387069702148,
-0.33715522289276123,
0.13822400569... |
Detailed Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
See one example below:
Problem: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and ... | Breaking the code of DNA binding specificity of TAL-type III effectors. | 4 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.5907074213027954,
0.25478634238243103,
-0.1387508511543274,
-0.08003206551074982,
-0.06487070769071579,
-0.008471531793475151,
0.4035071134567261,
0.9395913481712341,
0.5959649085998535,
1.064874529838562,
-0.2126028835773468,
0.19016116857528687,
-0.6097732782363892,
0.5837658047676086,... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Example: Sentence1: Rick grew u... | She had a bountiful harvest. | 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.4468000829219818,
1.0753698348999023,
-0.05251108109951019,
-0.052451811730861664,
-0.019718598574399948,
-0.13748972117900848,
0.30335572361946106,
0.8088968396186829,
0.15491840243339539,
0.1942806839942932,
-0.5230754613876343,
-0.2188505232334137,
-0.40499499440193176,
-0.0999145284... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Let me give you an example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McD... | Yes | 8 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.26824426651000977,
0.9674646258354187,
-0.10781218856573105,
-0.41592422127723694,
-0.4281565546989441,
0.23350146412849426,
0.43158096075057983,
0.8214782476425171,
0.3958834409713745,
0.33601343631744385,
-0.5931310653686523,
0.41898113489151,
-0.3113657534122467,
-0.15278063714504242... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Rosso e giallo possono essere esaltati per fare arancione. | 9 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.020635005086660385,
0.3887566328048706,
-0.07138572633266449,
0.4699695408344269,
-0.41238337755203247,
-0.9376928806304932,
0.387880802154541,
1.4045906066894531,
-0.15743449330329895,
-0.2154451608657837,
-0.8201873302459717,
0.2009803205728531,
-0.339146226644516,
0.36331379413604736... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | accuse Cameron of voter tampering | 4 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.6535899639129639,
0.5634058713912964,
0.6936277747154236,
-0.10230356454849243,
-0.3767307996749878,
-0.47397395968437195,
0.4813980460166931,
0.04631152004003525,
0.19029466807842255,
-0.015827618539333344,
-0.015040690079331398,
-0.23363962769508362,
-0.22041699290275574,
-0.1211861670... |
Detailed Instructions: Given a sentence in German, generate a new German 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 reasonabl... | Eine Rolle, wo der Mensch gespielt wird. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.4782533049583435,
0.9405950307846069,
-0.33017784357070923,
-0.22697103023529053,
0.03852946311235428,
-0.07529599964618683,
0.3853647708892822,
0.8802098035812378,
0.17790700495243073,
-0.15523453056812286,
-0.37643587589263916,
-0.15533557534217834,
-0.7649298906326294,
0.326652646064... |
Detailed Instructions: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Problem:THEM: hi there! i would like the hats, and you can have the rest. YOU: deal.
Solution: | Yes | 8 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.48132508993148804,
0.13139978051185608,
0.48111721873283386,
0.6842638254165649,
-0.15103355050086975,
-0.8253692388534546,
0.24661196768283844,
0.3859861493110657,
0.17237535119056702,
0.13062651455402374,
-0.37516242265701294,
-0.14214637875556946,
-0.4067269563674927,
-0.1937531381845... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more ... | Negative | 8 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.3301234841346741,
-0.16694894433021545,
0.4349372982978821,
-0.12722255289554596,
0.05220022052526474,
-0.19174587726593018,
0.47792771458625793,
0.6086338758468628,
0.12532980740070343,
0.5116449594497681,
0.18899953365325928,
0.11309979856014252,
-1.0432876348495483,
-0.45954138040542... |
Detailed Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index a... | [11, -13] | 8 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.5049870014190674,
0.0707712322473526,
-0.7394542098045349,
-0.32485535740852356,
0.09552282094955444,
-0.2731937766075134,
1.383896827697754,
0.1908080130815506,
0.29930534958839417,
-0.3701895475387573,
-0.3969827890396118,
-0.3947211503982544,
-0.3444821238517761,
0.2183080017566681,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: कबीरदास यांनी कोणतीही लाज, शरम न बाळगता अयोग्य रूढींवर थेट घणाघाती प्रहार केला होता.
A: | સાથીઓ, કબીર શ્રમયોગી હતા, કર્મયોગી હતા. | 4 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.007196761202067137,
1.4826414585113525,
-0.31303879618644714,
-0.27800798416137695,
-0.6790750026702881,
-0.8520081043243408,
0.9505171775817871,
-0.194313645362854,
0.06804312765598297,
0.016951849684119225,
-0.5002626180648804,
0.05248767137527466,
-0.6838706731796265,
-0.0404382981359... |
In this task, you are to Translate German text to English
Example Input: Verwendung finden derartige Bilderfassungssysteme in der Medizintechnik, auf Fahrzeugen, zur Inspektion von lochartigen Ausnehmungen sowie zur 360° -Bilderfassung in Räumen.
Example Output: Such image recording systems are used in medical technol... | The light entrance surface of the prism is arranged substantially perpendicular to the beam path.
| 3 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.03768300265073776,
0.540490984916687,
-0.3597884476184845,
0.1040993183851242,
0.2177674025297165,
0.32835060358047485,
0.5344981551170349,
0.9775466322898865,
0.06505554169416428,
0.45311057567596436,
-0.20258888602256775,
0.4662676155567169,
0.21029627323150635,
-0.12838616967201233,
... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive sta... | Yes | 9 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-0.7364202737808228,
-0.4820362329483032,
0.7943737506866455,
0.8044084310531616,
0.33545589447021484,
-0.5525989532470703,
-0.019032690674066544,
0.6445344090461731,
-0.1735801100730896,
0.336315393447876,
0.14394748210906982,
-0.4669156074523926,
-0.5320377349853516,
-0.5939615964889526,... |
Teacher:In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? Solve this instance: Kendall persisted after being told no, and eventually had a positive effect on Lee.
Student: | What will Lee want to do next? | 6 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.7421320080757141,
1.0105706453323364,
0.5584430694580078,
-1.0902739763259888,
-0.37067604064941406,
-0.25831764936447144,
0.5643372535705566,
0.3505334258079529,
-0.09882867336273193,
0.19597749412059784,
0.11652374267578125,
-0.23214757442474365,
-0.9587224721908569,
0.146659553050994... |
Part 1. Definition
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".
Part 2. Example
Tweet: @justinchuan Awww! I was th... | yes | 7 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.005928874015808,
-0.25346845388412476,
0.1919470876455307,
0.5296580791473389,
0.26988357305526733,
-1.0631484985351562,
0.08044193685054779,
0.1581806093454361,
-0.04904276877641678,
0.20876190066337585,
-0.5116943120956421,
-0.20177549123764038,
-0.06212140619754791,
-0.33406394720077... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Av... | More than one person is inside the car. | 8 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.5107242465019226,
0.5107971429824829,
0.15426424145698547,
-0.2219238579273224,
0.05165236070752144,
-0.0415959507226944,
-0.49967509508132935,
0.2939508855342865,
0.36409375071525574,
0.04522638022899628,
-1.213407039642334,
-0.9130877256393433,
0.07060366868972778,
-0.2734877467155456... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[118.515, 162.723]
Output: | [0.421 0.579] | 1 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.41251593828201294,
0.7652519345283508,
-0.6696187853813171,
-0.7950583696365356,
0.1368182897567749,
0.6201308965682983,
0.47898799180984497,
-0.15169095993041992,
0.0025524611119180918,
0.2835780680179596,
-0.6972251534461975,
0.16116108000278473,
-0.06862910836935043,
-0.4682936072349... |
Detailed Instructions: In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Problem:I have a friend that’s blind, and we travel in the same social circles so we go t... | RIGHT | 8 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
0.09530376642942429,
0.2612608075141907,
1.049093246459961,
0.009533725678920746,
-0.5326303243637085,
-1.3142921924591064,
0.15577301383018494,
0.3700798749923706,
0.3278856873512268,
0.10101115703582764,
-0.28550735116004944,
0.37592053413391113,
0.1569160372018814,
-0.41717517375946045,... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a man by a open refrigerator in a room'. How many words end with the letter 'a' in the sentence.
3
Sentence: 'the woman is wearing a mans shirt and tie on the couch'. How man... | 2
| 0 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.16236984729766846,
0.2809295952320099,
-0.11285967379808426,
-0.6986538171768188,
-0.1497233659029007,
-0.18982431292533875,
0.08989591151475906,
0.5809301137924194,
0.18301530182361603,
-0.29990726709365845,
-0.8587842583656311,
0.25984179973602295,
-0.05955320596694946,
-0.256704807281... |
instruction:
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 h... | Yes
| 9 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.8147048354148865,
0.3049648404121399,
0.15398988127708435,
0.0036424952559173107,
-0.53172767162323,
-1.154068946838379,
0.644167959690094,
0.5903376340866089,
-0.5252078771591187,
-0.17513732612133026,
-0.6627821922302246,
-0.22615857422351837,
-0.7937482595443726,
-0.1161433607339859,
... |
Detailed Instructions: In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Problem:Sentence 1:Weir aids the team in dealing with the Vanir - a rogue faction of Asgard - and returns to Atlantis until she is... | however | 8 | NIv2 | task563_discofuse_answer_generation | zs_opt | [
-0.38641124963760376,
0.3478766083717346,
0.049685604870319366,
-0.2632783055305481,
-0.5032405853271484,
-0.7437193989753723,
0.6479829549789429,
-0.24099403619766235,
-0.07980557531118393,
0.1480088233947754,
0.5835636854171753,
0.022291289642453194,
-0.7680480480194092,
0.35254734754562... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Let me give you an example: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
The answer ... | 「私は移民が自分の求めることをつかむために何を経験しなければならないかを理解している。」 | 8 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.6244579553604126,
0.6973645091056824,
-0.7764086723327637,
0.5408695340156555,
-0.17427891492843628,
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0.21161048114299774,
0.30816805362701416,
0.0770026445388794,
-0.5141995549201965,
-0.826215922832489,
1.0075490474700928,
-0.7956839799880981,
0.9529705047607422,
... |
Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Input: Man måste också kritisera kommission... | Swedish | 3 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.55973881483078,
0.8742697238922119,
0.34079253673553467,
-0.4707379937171936,
0.3189947009086609,
-0.3112494647502899,
0.4434717297554016,
0.6665329933166504,
0.2011730968952179,
0.141848623752594,
-0.04266727343201637,
-0.09115888923406601,
0.343783974647522,
-0.21055968105793,
-0.22... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
See one example belo... | Colombia | 4 | NIv2 | task339_record_answer_generation | fs_opt | [
0.015426446683704853,
0.6630642414093018,
-0.5463614463806152,
-0.30114516615867615,
-0.12832705676555634,
0.12230253964662552,
0.6244670748710632,
0.8147279024124146,
-0.391079843044281,
0.8072667717933655,
-0.13723544776439667,
0.3202541470527649,
-0.7477496862411499,
0.5061593055725098,... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: Who used videoconferencing later, internal corporate communication networks or schools?, Context: While videoconferencing technology was initially used primarily within internal corporate communi... | schools | 4 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.08805473893880844,
0.42293062806129456,
-0.025277504697442055,
-0.008357973769307137,
-0.33906856179237366,
0.9265412092208862,
0.3632059693336487,
0.7689467668533325,
0.1679612100124359,
0.11435690522193909,
0.6396400332450867,
0.18153859674930573,
-0.24819333851337433,
-0.8347451090812... |
Teacher: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, ... | N | 2 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.9109658002853394,
0.37056964635849,
0.22755491733551025,
-0.587768018245697,
0.10268019884824753,
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-0.01285046711564064,
0.7563134431838989,
0.12771931290626526,
0.037487879395484924,
-0.41747862100601196,
0.12679648399353027,
-0.5210396647453308,
-0.3710469007492065... |
Instructions: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport... | police punishment | 3 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.28123214840888977,
0.1134766936302185,
-0.42103222012519836,
-0.012386742979288101,
0.2142012119293213,
0.10662811994552612,
-0.5114345550537109,
0.44863396883010864,
0.0836629867553711,
-0.23321238160133362,
-0.47342953085899353,
-0.17882820963859558,
-0.33250999450683594,
-0.5911085605... |
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.
Input: Consider Input: The name of Ganga is Bhagirathi river from Mushirdabad city to Hoogli city and it is named Hugli river till the mouth of Hugli.
Output: म... | Output: इस तरह हम देखते हैं कि कुरान में ईश्वर के गुणों की धारणा संसार की एक विशेष धारणा से संबंद्ध है ।
| 2 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
-0.49713122844696045,
0.4173389673233032,
0.462672621011734,
-0.530922532081604,
0.06976083666086197,
-1.0414979457855225,
0.1947622001171112,
0.09955959022045135,
0.009752943180501461,
-0.2932366728782654,
-1.0538766384124756,
-0.15965351462364197,
-0.4682807922363281,
-0.1263796687126159... |
Part 1. Definition
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... | No | 7 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.7142544388771057,
-0.00950575340539217,
0.16094675660133362,
-0.4306020438671112,
-0.2521127760410309,
-0.8478564023971558,
0.866705060005188,
0.3173457384109497,
-0.37247633934020996,
-0.6553844809532166,
-0.8349062204360962,
-0.3103032112121582,
-0.7931555509567261,
-0.0200518593192100... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Input: Consider Input: Sentence: 'People walking across an intersection in the city'. Count the number of nouns in this sentence.
Output: 3
Input: Consider Input: Sentence: 'a man is squatting down to fix a kite'. Count the number of n... | Output: 3
| 2 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.20315884053707123,
0.9389006495475769,
-0.39743566513061523,
-0.11181876808404922,
0.07314029335975647,
-0.496349573135376,
0.4052044451236725,
0.6161171197891235,
-0.04501650109887123,
0.10076501965522766,
-0.7056406140327454,
-0.24805834889411926,
-0.011877205222845078,
0.629954993724... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
আমি আপনাদের একটা উদাহরণ দিচ্ছি। | உங்களுக்கு நான் ஓர் உதாரணம் சொல்கிறேன். | 0 | NIv2 | task981_pib_translation_bengali_tamil | zs_opt | [
0.04801473394036293,
0.7953615188598633,
0.03653885796666145,
0.5819327235221863,
-0.020252758637070656,
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-0.5523471832275391,
0.004693527240306139,
-0.36782729625701904,
-0.22826774418354034,
-0.6933467388153076,
0.557587921619415... |
Detailed Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the s... | neutral | 9 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.22522465884685516,
0.9385656118392944,
-0.07361307740211487,
-0.32622861862182617,
-0.7634661197662354,
-1.147200345993042,
0.42011988162994385,
0.617556095123291,
0.44290709495544434,
-0.28297847509384155,
-1.0898998975753784,
0.32438188791275024,
-0.643314003944397,
-0.062036745250225... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
--------
Question: Article: At times we all get angry when we are driving. It might be because we are stuck in a traffic jam or stuck behind a very slow driver. It might be because we th... | According to the author, which one belongs to the real economy?
| 7 | NIv2 | task311_race_question_generation | fs_opt | [
0.2540636658668518,
0.18097133934497833,
0.20399022102355957,
-0.10302039235830307,
-0.26838088035583496,
-0.4440956711769104,
0.6407073736190796,
0.7167263031005859,
-0.20558565855026245,
0.0476592555642128,
-0.5274536609649658,
0.234005868434906,
-0.5115580558776855,
-0.21047767996788025... |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Example Input: Fact: a chipmunk eats acorns. Question: a student leaves a bag of acorns on the playground, which ... | heat our homes
| 3 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
0.0032447664998471737,
0.5929771661758423,
-0.4678628742694855,
0.04629528522491455,
-0.8403376936912537,
-1.0137617588043213,
0.09845253825187683,
0.7004972696304321,
-0.029619617387652397,
-0.47414299845695496,
-0.7795014977455139,
0.475086510181427,
-0.7753053903579712,
-0.1757752150297... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Example: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that a... | Solution: What baselines do they compare to? | 5 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.25412774085998535,
-0.05165799707174301,
-0.15805423259735107,
0.8039238452911377,
0.32738903164863586,
-0.5881407260894775,
0.7500947117805481,
0.6681422591209412,
0.18365007638931274,
0.46497416496276855,
-0.7720866799354553,
-0.07439827919006348,
-0.566030740737915,
0.674842357635498... |
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.
--------
Question: ... | [74, 27, 74, 29, -32, 99]
| 7 | NIv2 | task207_max_element_lists | fs_opt | [
0.17756125330924988,
-0.05868004634976387,
-1.015838623046875,
0.08820262551307678,
-0.030967500060796738,
0.12846922874450684,
1.1761415004730225,
0.6467218399047852,
-0.37624725699424744,
0.10665641725063324,
-0.6422486305236816,
0.03497485816478729,
-0.45866334438323975,
-0.070172272622... |
Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentence... | E | 3 | NIv2 | task534_farstail_entailment | zs_opt | [
-1.0533405542373657,
0.4112357497215271,
0.205087348818779,
-0.4356136918067932,
-0.47733062505722046,
-0.6025196313858032,
0.6396907567977905,
0.1634279042482376,
0.3321910500526428,
-0.4049239158630371,
-0.7123256921768188,
0.2515689730644226,
-0.21665167808532715,
-0.2823980748653412,
... |
Detailed Instructions: Two analogies that relate actions with their consequences are given in the form "A : B. C : ?". The phrase "A : B" relates action A to consequence B. Your task is to replace the question mark (?) with the appropriate consquence of the given action C, following the "A : B" relation. Your answer sh... | grow | 9 | NIv2 | task1152_bard_analogical_reasoning_causation | zs_opt | [
0.18864962458610535,
1.2087115049362183,
0.09385617822408676,
-0.4798743724822998,
-1.0744107961654663,
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1.3967294692993164,
0.5134024620056152,
-0.15208864212036133,
-0.4192681312561035,
0.06681513786315918,
-0.23511984944343567,
-0.6266767382621765,
0.183710813522338... |
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.
--------
Question: The eggs are deposited in decaying organic matter and from these eggs . hatch in a day or two pale yellow , legless worms , called maggots .
A... | 4 . हम इस आशा की अभिव्यक़्ति के साथ यह पत्र समाप्त करनेके प्रार्थी हैं आप अपने पद के उत्तरदायित्वपूर्ण और दुर्भर कर्तव्यों को दीर्घकाल तक अपने लिए ख़्याति और बंबई प्रेसिडेंसी में महामहिम की प्रजा की संतुष्टि साथ
| 7 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
-0.3737373948097229,
-0.06948298960924149,
-0.03441347926855087,
0.1119384765625,
-0.2695828080177307,
-1.2494450807571411,
-0.1285678744316101,
0.20156025886535645,
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-0.23333954811096191,
-0.9861623644828796,
0.557975709438324,
-0.40246134996414185,
0.44402721524238586... |
Teacher:In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Teacher: Now, under... | -13703 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
0.10386011004447937,
0.608829915523529,
0.14912471175193787,
-0.244369775056839,
-0.516465425491333,
0.12001641094684601,
0.27335357666015625,
0.8860040903091431,
0.011239924468100071,
-0.5475641489028931,
-0.6707282066345215,
-0.806674599647522,
-0.44252222776412964,
0.3397325873374939,
... |
Detailed Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: A manically generous Christmas vaudeville .
A: | POS | 9 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.3422436714172363,
0.10364066064357758,
0.9337824583053589,
-0.1542840451002121,
0.4049983024597168,
-0.4171871542930603,
1.173789620399475,
0.5130938291549683,
0.18911707401275635,
0.20293322205543518,
-0.368716835975647,
-0.8980240225791931,
0.21787431836128235,
-0.008942734450101852,
... |
Detailed Instructions: 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.
Problem:Many natural language understanding (NLU) tasks, such as shallow parsing (i.e., text chunking) and semantic slot filling, require the ass... | Neural Models for Sequence Chunking | 8 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.41221123933792114,
0.32783183455467224,
0.03391043841838837,
-0.2554199993610382,
-0.42305558919906616,
0.031020546332001686,
0.6342025995254517,
0.5553593635559082,
-0.018394190818071365,
0.3867589831352234,
-0.02997804991900921,
-0.36321353912353516,
-0.9753960371017456,
-0.0341103672... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | method
| 7 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.6193736791610718,
0.7517845630645752,
0.2187434732913971,
0.28934067487716675,
-0.6862491965293884,
0.20866692066192627,
0.37117308378219604,
0.7436366081237793,
0.17627763748168945,
-0.03729360178112984,
-1.168871521949768,
0.5603397488594055,
-0.5941687226295471,
-0.057900723069906235... |
You will be given a definition of a task first, then some input of the task.
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account Daria ale ten musiał kochany? ;-) , Question: Does the tweet contain cyberbullying (harmful) content?
... | No | 1 | NIv2 | task839_cdt_classification | zs_opt | [
-0.8731148838996887,
1.077038288116455,
0.2618422508239746,
0.6692153811454773,
-0.9639177322387695,
-0.20977038145065308,
0.9592385292053223,
-0.6555123329162598,
-0.461304247379303,
0.30961206555366516,
0.1753145456314087,
0.0942201316356659,
-0.4303717613220215,
-0.22397398948669434,
... |
instruction:
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
question:
This is a truly remarkable device - a mouse and fully functional keyboard combined, that sits flat on my desk along with all my other papers and books (try that with a traditional keyboard and mouse - its not... | Positive Review
| 9 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.5779344439506531,
0.40642958879470825,
-0.5910674333572388,
-0.4974968135356903,
0.8235903978347778,
0.056231264024972916,
0.3186904788017273,
0.9176215529441833,
0.6200079917907715,
0.37308335304260254,
0.9507689476013184,
-0.2952444553375244,
-0.42460569739341736,
-0.2637542486190796,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical pr... | VERB | 1 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.42758673429489136,
0.17678579688072205,
-0.05154607445001602,
-0.016352316364645958,
-0.0413365364074707,
-0.4147067666053772,
0.4809942841529846,
0.9941054582595825,
-0.4128901958465576,
-0.06870065629482269,
-0.33005034923553467,
0.07760590314865112,
-0.5646462440490723,
0.369517982006... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
After removing 135 questions during the validation, the final dataset comprises 13,939 questions, 3,... | 13,939 | 5 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.7573467493057251,
0.20026998221874237,
0.18587027490139008,
-0.63812255859375,
-0.6659525632858276,
0.5689366459846497,
0.2330344021320343,
-0.23520293831825256,
-0.11366572231054306,
-0.9249950647354126,
-0.6577094197273254,
0.15509814023971558,
0.2670306861400604,
0.1261434257030487,
... |
You will be given a definition of a task first, then some input of the task.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects... | Sentence 1: The dehumidifier I bought helped counteract the humidity of my showers, because the _ made the house steamy.
Answer1: showers.
Sentence 2: The dehumidifier I bought helped counteract the humidity of my showers, because the _ made the house arid.
Answer2: dehumidifier. | 1 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.4101423919200897,
0.27245527505874634,
0.14800876379013062,
0.019298061728477478,
0.8186295628547668,
-0.6060856580734253,
0.5060009956359863,
1.0199882984161377,
-0.7880380153656006,
-0.3190827965736389,
-0.39390575885772705,
0.01941104605793953,
-0.3833177983760834,
-0.1073604673147201... |
A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ମୋର ପ୍ରିୟ ଦେଶବାସୀ 5 ଟ୍ରିଲିୟନ ଆମେରିକୀୟ ଡଲାର ଅର୍ଥବ୍ୟବସ୍ଥାର ସ୍ୱପ୍ନ ହେଉ, ସ୍ୱାବଲମ୍ବୀ ଭାରତର ସ୍ୱପ୍ନ ହେଉ, ମହାତ୍ମା ଗାନ୍ଧୀଙ୍କ ଆଦର୍ଶକୁ ବଂଚାଇ ରଖିବା ଲାଗି ଆଜି ବି ଆମେ ... | যখন আমরা স্বপ্ন দেখি, স্বাধীনতার ৭৫ বছর উদযাপনের, তখন ভারতের সব গ্রামে অপটিক্যাল ফাইবার নেটওয়ার্ক ব্রডব্যান্ড হোক, ব্যান্ড কানেক্টিভিটি হোক, দূরশিক্ষা প্রকল্পের সুবিধা চালু হোক- এই সব স্বপ্ন যখন দেখি, আমাদের সমুদ্র সম্পদ, নীল অর্থনীতির ক্ষেত্রেও আমরা এগিয়ে যাব। আমাদের মৎস্যচাষী ভাইবোনেদের আমরা শক্তি জোগাব। | 4 | NIv2 | task998_pib_translation_oriya_bengali | zs_opt | [
-0.07932382076978683,
0.6920756697654724,
-0.3461299538612366,
0.35906022787094116,
-0.12956108152866364,
-0.38733911514282227,
0.011551598086953163,
0.11876146495342255,
-0.04323393851518631,
-0.13084158301353455,
-0.34813475608825684,
-0.7413219213485718,
0.19396664202213287,
-0.28068026... |
instruction:
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
question:
အဆိုပါ ဟိုတယ် သည် တစ်ချိန် က တူညီသော နေရာ တွင် တည်ရှိခဲ့သည် ဟု ဒေသ တွင်း စီးပွားရေး ပိုင်ရှင်များ နှင့် နေထိုင်သူများ က သံသယရှိခဲ့သည် ။
answer:
It was suspected by residents and business ... | Agca was a Turkish militant who was a member of the nationalist Grey Wolves; however, his motives for the shooting remain unclear.
| 9 | NIv2 | task538_alt_translation_bu_en | fs_opt | [
-0.0044743213802576065,
0.06965363770723343,
0.09791002422571182,
-0.9296877980232239,
0.2744240164756775,
-0.3100665807723999,
1.0092980861663818,
0.4046633839607239,
0.42891767621040344,
-0.18321506679058075,
-0.36696332693099976,
0.8031504154205322,
-0.8940292596817017,
-0.0845560878515... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be les... | B | 6 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.25402480363845825,
0.42445892095565796,
-0.403065025806427,
-0.6009832620620728,
-0.3710901141166687,
-0.34186607599258423,
0.4051957428455353,
-0.3987783193588257,
-0.5102887153625488,
0.3348795175552368,
-0.4645136892795563,
0.32597044110298157,
0.017094023525714874,
-0.20772510766983... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Example solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Example explanation: The Japanese sentence is ... | Solution: ما با همدیگه شادترین خانه رو درست کردیم. و من گفتم ، "" خدایا من خوشحالم ، چونکه با سگم دارم راه میرم ، در حالی که آنگمو می خونم ، و به اینور و اونور پرسه می زنم. "" آره ، فقط من و سگم هستیم ، که داریم آفتاب می گیریم ، و راه رو گم نمی کنیم ، چون من به تنفر و شک تو توجهی نمی کنم ، و به عصبانیت سیاست مداران توج... | 5 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.43554291129112244,
0.3224126100540161,
-0.4683193564414978,
0.48610663414001465,
-0.08579321205615997,
-0.6617598533630371,
1.4931414127349854,
0.4236239492893219,
-0.2926566004753113,
0.03141961246728897,
-1.079568862915039,
0.13832604885101318,
-0.7401449084281921,
0.054580386728048325... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Q: lang... | baby IsA girl
****
| 4 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.14268651604652405,
0.7616463303565979,
0.2211856096982956,
-0.5944116115570068,
-0.4743545353412628,
-0.6141670346260071,
0.47512882947921753,
0.04690580070018768,
-0.10785401612520218,
-0.5950732827186584,
-0.33760666847229004,
0.14558592438697815,
-0.808792233467102,
0.2469668686389923... |
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 symbol is used f... | NOUN
| 5 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.4207078814506531,
0.22057273983955383,
-0.035818640142679214,
0.04309196025133133,
-0.08048494905233383,
-0.3436306118965149,
0.9304865598678589,
0.6848646998405457,
-0.28742775321006775,
-0.08251833915710449,
-0.47970643639564514,
-0.057369571179151535,
-0.4422535002231598,
0.2996004223... |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:The book is a good read if you are in high school. For me the... | Bad review | 8 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.3392712473869324,
-0.15035419166088104,
-0.06818125396966934,
-0.32025086879730225,
0.42797380685806274,
-0.807682991027832,
1.0331628322601318,
0.9273598790168762,
0.2435116469860077,
0.4849018156528473,
-0.2878038287162781,
-0.2911098599433899,
-0.6134475469589233,
-0.1222216635942459... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Input: Comment: JJ
In case you... | Non-toxic | 2 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.8493295907974243,
0.7944136261940002,
0.35066282749176025,
0.10254155844449997,
-0.2755308151245117,
-0.7176229953765869,
0.14140209555625916,
0.5904744863510132,
-0.1428498923778534,
0.5692391395568848,
-0.15084096789360046,
-0.01438230462372303,
-0.7365586161613464,
-0.486597120761871... |
Q: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Lilly recounted a story to remember because Holly had also recounted a story to.
A: | 0 | 7 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
-0.7893370389938354,
1.046364426612854,
0.35026371479034424,
-0.5202757120132446,
-0.09851493686437607,
-1.861182451248169,
0.11849524825811386,
0.1174488514661789,
-0.34081509709358215,
-0.9024679660797119,
-0.7905219793319702,
-0.4968860149383545,
0.026316169649362564,
-0.130515322089195... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restr... | bad | 9 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
0.15614891052246094,
0.2489694058895111,
0.035411059856414795,
-0.9821006655693054,
-0.7710344791412354,
-0.9809867739677429,
1.0115965604782104,
0.21509887278079987,
0.22461137175559998,
-0.5565395951271057,
-0.7030675411224365,
-0.25122928619384766,
-0.8965937495231628,
0.293424695730209... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Example input: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.
Example o... | a man does a skateboard up a ramp | 3 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.42063242197036743,
0.4101446270942688,
0.012205587700009346,
-0.6673233509063721,
0.1094270646572113,
-0.45065611600875854,
0.23782265186309814,
0.5164356231689453,
0.09185574948787689,
-0.3286694586277008,
-1.1314975023269653,
-0.2739737033843994,
-0.7070396542549133,
-0.139998212456703... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Spanish language. Please bear in mind the following guidlines 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... | muéstrame restaurantes " french ".
| 5 | NIv2 | task171_spl_translation_en_es | fs_opt | [
-0.3193879723548889,
0.7798101902008057,
-0.13782012462615967,
-0.29416146874427795,
-0.17454563081264496,
-0.5022186040878296,
0.30902087688446045,
0.986642062664032,
-0.3436039686203003,
-0.7178529500961304,
0.4943515658378601,
0.059695105999708176,
-0.19431540369987488,
0.40980359911918... |
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.
concept: Wale question: who was wale signed to? | ['Def Jam Recordings', 'Warner Bros. Records', 'Roc Nation', 'Allido Records', 'Interscope Records'] | 0 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.30206209421157837,
1.463752269744873,
-0.22047893702983856,
-0.20310550928115845,
-0.5489326119422913,
-0.3892436921596527,
1.4743564128875732,
0.09263196587562561,
0.2041260004043579,
-0.0964440405368805,
-0.04442920535802841,
0.20398379862308502,
-0.7423089742660522,
0.297669947147369... |
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Nếu tôi đang chán nản, và tôi muốn làm điều gì đó với từ điển, điều gì sẽ giúp ích?... | C | 0 | NIv2 | task1130_xcsr_vi_commonsense_mc_classification | zs_opt | [
0.47916901111602783,
0.31123775243759155,
-0.22682592272758484,
-0.2639293968677521,
-0.12232352793216705,
-0.6449652314186096,
0.9373676776885986,
0.8365975618362427,
0.3865610659122467,
0.10303232073783875,
-0.2645892798900604,
-0.11073276400566101,
0.546745240688324,
-0.564031720161438,... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: No contrato do profesor se limita o número de veces que o director virá á aula, ás veces á unha soa vez por curso.
Output: | W kontrakcie nauczyciela istnieje limit na ilość odwiedzin dyrektora podczas zajęć, czasami jest to raz na rok. | 3 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-1.619288444519043,
0.74034583568573,
-0.35269695520401,
-0.7559928894042969,
-0.26273390650749207,
0.0772671103477478,
0.2983461022377014,
0.0015257634222507477,
-0.5025390386581421,
-0.021264733746647835,
0.04656063765287399,
-0.16476041078567505,
-0.26698949933052063,
0.1944251656532287... |
TASK DEFINITION: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
PROBLEM: entity: cleaner
before: in bottle
after: on stove
attr: location
SOLUTION: location of cleaner was i... | location of pulp was in measuring cup before and in saucepan afterwards
| 8 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.2892717123031616,
0.4758995771408081,
-0.467281311750412,
0.256458580493927,
-0.4044398367404938,
-0.7311769127845764,
-0.18250702321529388,
-0.06717260181903839,
0.2797199487686157,
-0.4979044795036316,
0.24178481101989746,
0.12833595275878906,
-0.8387030363082886,
-0.41626203060150146,... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrec... | A | 8 | NIv2 | task297_storycloze_incorrect_end_classification | zs_opt | [
-0.3654859960079193,
1.1103250980377197,
-0.10968533158302307,
-0.5967996120452881,
0.060696784406900406,
-0.7736721038818359,
0.2313278615474701,
0.4263021647930145,
-0.003393086139112711,
0.2862595319747925,
-0.5238498449325562,
0.4099962115287781,
0.18510591983795166,
0.1732382029294967... |
Definition: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditio... | SELECT order_id , customer_id , customer_id FROM Customer_Orders WHERE order_status_code = "Cancelled" ORDER BY order_date Asc | 2 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.4524344801902771,
0.4765857756137848,
-1.2746036052703857,
0.5482965111732483,
-0.38747066259384155,
-0.07593442499637604,
0.5926498174667358,
0.8495897054672241,
-0.34249651432037354,
0.5383709669113159,
0.2576667070388794,
0.1617364138364792,
-0.11089187860488892,
0.6237235069274902,
... |
Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Input: I loved the way the lights looked on this cable. When it worked. After five months of using it, the lights stopped working, after six months, it shorted out completely. I only ever used it... | Not very durable. Looks cool when it is working, but don't expect it to last long. | 3 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.28755342960357666,
0.7967416048049927,
-0.3612133860588074,
-0.7035152912139893,
0.27282923460006714,
-0.4560396671295166,
0.2771807312965393,
0.6186490058898926,
-0.2429899424314499,
0.868706464767456,
-0.04327007755637169,
-0.014203454367816448,
-0.5437530279159546,
-0.5765799880027771... |
Definition: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypo... | entails | 2 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.1787143349647522,
0.5211894512176514,
-0.4927625060081482,
-0.08475339412689209,
-0.16769373416900635,
-0.2174234390258789,
0.7042683959007263,
0.19977909326553345,
0.6124382615089417,
-0.29646164178848267,
-1.1911805868148804,
0.23032912611961365,
0.015505842864513397,
0.15812969207763... |
instruction:
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
question:
Context: Crouch became... | Answer: 6
| 9 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.15873326361179352,
0.3759438991546631,
-0.6645244359970093,
0.026254858821630478,
0.326854407787323,
-0.08031544089317322,
0.32031965255737305,
0.6011157035827637,
0.006079552695155144,
-0.3295794725418091,
-0.5877888202667236,
0.5484471917152405,
-0.6873365640640259,
0.1776391267776489... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Example: Beginning: Butc... | Solution: 1 | 5 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.19808264076709747,
0.15510913729667664,
0.2329816073179245,
-0.06853273510932922,
-0.39336442947387695,
-0.35382041335105896,
0.4255743622779846,
1.1384708881378174,
0.11782877147197723,
0.005231661722064018,
-0.6330537796020508,
-0.02939824014902115,
-0.17756076157093048,
-0.3431428968... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Explanation: This is a good example. The above sentence is cor... | Because of economic downturn, more people are using their bicycles again to save money in Vietnam, as reported by The Comical Hat | 4 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.9730663299560547,
0.6283986568450928,
-0.2526901066303253,
-0.1563395857810974,
-0.7536126375198364,
0.17364731431007385,
1.1158676147460938,
0.3836555778980255,
0.8062843680381775,
0.1505652219057083,
-0.6909305453300476,
0.6455385684967041,
-0.37025976181030273,
0.21796374022960663,
... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
you can no longer concentrate on business. | ديگر نميتواني به تجارت فكركني | 0 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.10325274616479874,
1.1552832126617432,
-0.17374110221862793,
-0.5472741723060608,
-0.914222002029419,
0.5606570243835449,
0.0870860368013382,
0.9796983599662781,
0.9765187501907349,
-0.08402851223945618,
-0.5698353052139282,
0.11412505805492401,
0.5011196136474609,
-0.22862452268600464,... |
Q: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Roseland Community President and CEO Tim Egan argued some of the information used in Leapfrogâs assessme... | Far South Side hospital disputes F grade for safety | 7 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.4135875701904297,
0.21678024530410767,
0.3801356554031372,
-0.5409442186355591,
0.6403683423995972,
-0.9811891317367554,
0.47865429520606995,
0.7638489603996277,
-0.7949891090393066,
-0.11470963060855865,
-0.34531310200691223,
1.4582178592681885,
-0.87224942445755,
-0.060665905475616455... |
Teacher:In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Teacher: Now, understand the problem? Solve this instance: Weasels reaching _ to six years are regarded as fully mature.
Student: | five | 6 | NIv2 | task672_nummersense | zs_opt | [
0.9115489721298218,
1.2419459819793701,
0.13656893372535706,
-1.0530405044555664,
-0.4965050220489502,
-0.35131141543388367,
0.16602933406829834,
1.0754610300064087,
0.5499311089515686,
-0.20010876655578613,
0.8018789887428284,
0.3826993703842163,
-0.5896844267845154,
-0.32037681341171265,... |
Q: 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.
So drunk me hid... | Not sad | 7 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.4086925983428955,
0.2562866508960724,
0.5740253925323486,
-0.15933193266391754,
-0.14392593502998352,
-0.7608108520507812,
0.5808392763137817,
0.2712637186050415,
0.565941572189331,
0.413940966129303,
-0.08229756355285645,
-0.42552122473716736,
-0.8154389262199402,
0.10719117522239685,
... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | B | 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.29004567861557007,
0.03687064349651337,
-0.31985169649124146,
-0.6544188857078552,
0.18713881075382233,
0.0218881256878376,
0.9837435483932495,
0.8044198751449585,
0.01607717201113701,
-0.3569938540458679,
0.04707205295562744,
0.09217964857816696,
-0.01789550855755806,
0.1558604091405868... |
instruction:
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
question:
In relation to the treatment of a smoking patient with a non-small cell lung cancer of 4 cm in diameter, located in the peripheral region of the right upper lob... | Las cánulas faríngeas
| 9 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
0.5728939771652222,
0.47037553787231445,
-0.2504425048828125,
-0.47782033681869507,
0.6962137818336487,
-0.5067237019538879,
0.6739633083343506,
1.1110939979553223,
0.018720943480730057,
0.2025914192199707,
-0.25421643257141113,
0.1354658603668213,
-0.011817432940006256,
-0.005510515067726... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Let me give you an example: A mosquito stings me
I ... | first | 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.08435556292533875,
0.4869570732116699,
-0.06289808452129364,
-0.5339912176132202,
-0.09082585573196411,
-1.033012866973877,
0.2169228494167328,
0.46257245540618896,
0.0026654473040252924,
0.01237056590616703,
-0.731501579284668,
-0.6022220849990845,
-0.7718980312347412,
-0.46077740192413... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Problem:Sentence... | entails | 8 | NIv2 | task1554_scitail_classification | zs_opt | [
0.23360538482666016,
0.5092172622680664,
0.11249583959579468,
-0.37281090021133423,
-0.2212732434272766,
-1.0743889808654785,
0.5017043948173523,
0.6388455629348755,
0.0643940418958664,
-0.5184240341186523,
-1.038022756576538,
-0.08724162727594376,
-0.260407954454422,
-0.4350152611732483,
... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 1
| 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.7101134061813354,
0.53841632604599,
0.01773248054087162,
0.3292515277862549,
0.39155781269073486,
-0.9969449043273926,
0.07758115977048874,
0.7713975310325623,
-0.6187863349914551,
-0.38588598370552063,
-0.6420528888702393,
0.35884204506874084,
-1.0090014934539795,
0.3460879921913147,
... |
instruction:
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
questi... | Fact1: A haiku is a short Japanese poem that follows a 5, 7, 5 syllable structure. Fact2: Lines on the Antiquity of Microbes, also known simply as Fleas is said to be the shortest poem written. Fact3: Lines on the Antiquity of Microbes is made of one brief phrase: Adam. Had 'em.
| 9 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.40900278091430664,
0.2515595853328705,
-0.15952298045158386,
-0.3324774503707886,
-0.1441197246313095,
-1.8149601221084595,
0.6116848587989807,
0.33105459809303284,
0.2301192581653595,
-0.1597050428390503,
-0.5008754730224609,
0.4540265202522278,
-0.2504309415817261,
0.08813163638114929,... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian 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 ... | Puoi usare una mitragliatrice per sparare a un sacco di proiettili. | 1 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.3111802935600281,
0.6062041521072388,
-0.011071573942899704,
0.2801634669303894,
-0.05142956227064133,
-0.875164270401001,
0.33165764808654785,
1.3495844602584839,
0.011838001199066639,
-0.5458301305770874,
-0.7510662078857422,
0.14531955122947693,
-0.27983358502388,
0.1674087941646576,... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: ان الاموال لم تكن تقدم هكذا..
A: | Non è un regalo gratis. | 9 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.3261609673500061,
1.408789873123169,
0.31525880098342896,
-0.39546531438827515,
-0.6810682415962219,
0.24447868764400482,
0.1539563536643982,
1.7459772825241089,
0.059027284383773804,
-0.6987446546554565,
0.7462365627288818,
0.20806583762168884,
-0.6768872737884521,
-0.10415907204151154,... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Problem:Ankara, Turkey — addresses and reviews about the companies
Solution: | Ankara, Turkey — చిరునామాలు మరియు సంస్థలు గురించి సమీక్షలు | 8 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
-0.44406720995903015,
0.7736402750015259,
0.5151928663253784,
-0.2314082533121109,
0.5263943076133728,
-0.2416945993900299,
0.4225178360939026,
-0.08120304346084595,
0.239207461476326,
0.2720957100391388,
0.07780486345291138,
0.25834351778030396,
-0.3176283836364746,
0.1128409206867218,
... |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Olive Grove], eatT... | The Olive Grove is an English family-friendly pub with price ranges of less than £20. It is situated by the riverside. | 2 | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt | [
-0.3924158215522766,
0.5653565526008606,
-0.36295920610427856,
-0.24876172840595245,
-0.07962407916784286,
-0.5545462369918823,
0.6191290616989136,
0.1250961273908615,
0.6144384741783142,
-0.5630106329917908,
0.47866290807724,
-0.16606950759887695,
-0.826878547668457,
-0.31215476989746094,... |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Problem:Dialogue 1: 'u say okay i will i m very bad at texting actually'. Dia... | yes | 8 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.8178452253341675,
0.16284607350826263,
0.6659204959869385,
-0.6258060932159424,
0.05162039026618004,
-0.22919493913650513,
0.9776507616043091,
0.11864042282104492,
-0.13940848410129547,
-0.36147600412368774,
-0.19595758616924286,
-0.4822068512439728,
-0.2872602641582489,
0.4836609959602... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
One example is below.
Q: A herd of sheep standing together grazing in a pasture.
A: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Rationale: The translated sentence also talks about... | કાર સાથે ગામડા રસ્તામાં બે પુખ્ત રાઇડર્સ અને કૂતરા સાથે ઘોડો અને વાહન. | 9 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.2214251309633255,
0.4649736285209656,
0.3468888998031616,
0.08981749415397644,
0.026445947587490082,
-0.9328941106796265,
-0.10248789191246033,
0.39725300669670105,
-0.03852711617946625,
-0.5223466157913208,
-0.6733572483062744,
0.3635384142398834,
-0.38806021213531494,
-0.1682661026716... |
Given the task definition and input, reply with output. 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.
concept: Canada question: which province in canada is the most populated?
| ['Ontario'] | 5 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.6739226579666138,
0.5259560942649841,
0.11670462042093277,
-0.4699752628803253,
-0.42354685068130493,
0.011415672488510609,
0.7136819362640381,
0.06871641427278519,
0.5559861660003662,
0.2529556155204773,
-0.8280659914016724,
0.6699780225753784,
0.24884504079818726,
0.1476268768310547,
... |
Definition: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Input: Do you prefer working remotely?
Output: | Y has just told X that he/she is considering switching his/her job. | 2 | NIv2 | task567_circa_text_generation | zs_opt | [
-0.40598222613334656,
0.8001437187194824,
-0.6071076393127441,
0.3389723598957062,
-0.11513660848140717,
0.5050392150878906,
0.12505826354026794,
0.2534428834915161,
1.0578229427337646,
0.037480778992176056,
-0.9087010622024536,
0.366016149520874,
-0.4782251715660095,
0.2565445303916931,
... |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
さらなる効果は、上述の誘拐にベネズエラ人が関与している可能性を疑わしいものにしようというフーゴ・チャベス大統領の行動への国際的な名声を減らそうということだ。
answer:
Efek tambahannya adalah untu... | Tekanan grup Rasisme SOS menyatakan bahwa kejadian menunjukkan para pejabat sudah mempunyai tenaga yang cukup.
| 9 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.13971394300460815,
0.3180283308029175,
-0.3507757782936096,
-0.15322652459144592,
-0.23070108890533447,
-0.2863575220108032,
1.1683592796325684,
0.07666072249412537,
-0.2900053858757019,
0.06913928687572479,
-1.2790758609771729,
0.7133052349090576,
-1.1224193572998047,
0.105937540531158... |
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... | Output: 5993
| 2 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.13390396535396576,
0.09185908734798431,
-0.6376979351043701,
-0.4078781008720398,
-0.07931137830018997,
-0.2883984446525574,
0.12268808484077454,
0.7694298624992371,
-0.14548729360103607,
0.04450453072786331,
-1.0509073734283447,
-0.06462869793176651,
0.01702716015279293,
-0.254092633724... |
Teacher:In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: ... | no | 6 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.5357605218887329,
-0.2683587670326233,
-0.22614184021949768,
0.6256519556045532,
-0.24727003276348114,
-0.5793179869651794,
0.7148043513298035,
0.9397088289260864,
-0.41519880294799805,
0.10226414352655411,
0.21434885263442993,
-0.053599268198013306,
-0.367408812046051,
-0.4577100574970... |
Detailed Instructions: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Problem:Fact: changes in an environment cause animals to adapt to survive. Ques... | bears that have sparse fur with thrive | 8 | NIv2 | task1400_obqa_incorrect_answer_generation | zs_opt | [
-0.5680863857269287,
0.8291945457458496,
-0.36430010199546814,
0.4739801287651062,
-0.7964492440223694,
-1.3942372798919678,
-0.04597427695989609,
0.0008130779024213552,
-0.13137590885162354,
-0.4477308392524719,
-0.28322073817253113,
-0.26820147037506104,
-1.4055380821228027,
0.5382744669... |
Given the task definition, example input & output, solve the new input case.
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.
Example: what kind of film is Best Seller?
Output: crime
The an... | A Claymation Christmas Celebration | 1 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.7084089517593384,
-0.29514724016189575,
-0.7169375419616699,
1.0891636610031128,
-0.00899230595678091,
1.0694544315338135,
-0.07646576315164566,
0.2030584067106247,
0.34769660234451294,
0.22933968901634216,
-0.0781356543302536,
-0.04488939419388771,
-0.43512868881225586,
-0.130917146801... |
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