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 |
|---|---|---|---|---|---|---|
Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how the... | What are the different names for all songs that have a higher resolution than English songs? | 3 | NIv2 | task184_break_generate_question | zs_opt | [
0.6791783571243286,
0.22505782544612885,
-0.9838325381278992,
0.7455629706382751,
0.33316150307655334,
-0.48825180530548096,
1.0108636617660522,
0.4510830342769623,
-0.463166743516922,
0.5908917188644409,
-0.48576074838638306,
0.3017670512199402,
-0.061919160187244415,
0.09054543077945709,... |
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.
Ex Input:
In the next couple couple of years , will Carrie become the next Martina McBride ? She's had massive success with her album and single sales . Carrie has a very ... | Who won the game?
| 1 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.021594107151031494,
0.5921179056167603,
-1.2375454902648926,
0.5027458667755127,
0.06628760695457458,
-0.22958922386169434,
0.6681734323501587,
0.9021409153938293,
0.2705003619194031,
0.18618398904800415,
-0.2691291868686676,
0.5105887651443481,
-0.7191872000694275,
0.043954335153102875,... |
Detailed Instructions: In this task, you will be given a passage to read. A fill in the blank question will be given to you. Your answer should fit the blank appropriately.
Problem: The game takes place during the Second Europan War . Gallian Army Squad 422 , also known as The Nameless , are a penal military unit co... | Europan | 8 | NIv2 | task603_wikitext-103_fill_in_the_blank | zs_opt | [
0.39775872230529785,
0.6141747236251831,
-0.4142901301383972,
0.07835282385349274,
-0.3516952097415924,
-0.8204401731491089,
0.8155021667480469,
0.17050287127494812,
0.24572645127773285,
0.20999407768249512,
-0.24620196223258972,
0.41309288144111633,
-1.2007229328155518,
-0.395036309957504... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
その少年は我々の約束を信じていたルワンダの困っている人達を助けるという... なのに我々は助けなかった
A: | E este rapaz creu nas nosas promesas, que axudaríamos á xente en dificultades en Ruanda, e nunca o fixemos. | 7 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.8966258764266968,
0.8455075025558472,
0.4503130316734314,
-1.7450122833251953,
-0.9949331283569336,
-1.3799281120300293,
0.34119653701782227,
0.2312471568584442,
-1.1492409706115723,
-0.9012765884399414,
0.14751799404621124,
0.7722889184951782,
-1.6146061420440674,
-0.02978677675127983,... |
You will be given a definition of a task first, then some input of the task.
In this task your given two statements in Chinese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline ... | cause | 1 | NIv2 | task1185_xcopa_commonsense_cause_effect_zh | zs_opt | [
-0.7320668697357178,
0.28583455085754395,
-0.25631028413772583,
-0.5899671316146851,
0.12221815437078476,
0.0056236982345581055,
0.07951994985342026,
0.8734282851219177,
0.6721189022064209,
-0.27244552969932556,
-0.38952428102493286,
0.06389845907688141,
-0.18215778470039368,
0.21954521536... |
You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: paige was helping her mom plant flowers and tog... | 441
****
| 4 | NIv2 | task864_asdiv_singleop_question_answering | fs_opt | [
0.026906434446573257,
0.7261244058609009,
-0.4853367507457733,
-0.6244177222251892,
-0.4072253108024597,
-0.5959123373031616,
0.899811327457428,
0.4960349500179291,
-0.02101506106555462,
0.32036465406417847,
-0.7320237159729004,
-0.12389160692691803,
-0.48934102058410645,
0.281533658504486... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 1 | 9 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.17267796397209167,
0.19635991752147675,
-0.26130008697509766,
0.2646710276603699,
0.044869475066661835,
0.35127970576286316,
0.18847216665744781,
1.281097412109375,
0.46319931745529175,
-0.067148357629776,
-0.26219886541366577,
-0.6376333236694336,
-0.43908223509788513,
-0.4848139882087... |
Teacher: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 l... | [1, 5, 6, 7, 8] | 6 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.11603119224309921,
0.2455982118844986,
-0.2107902616262436,
-0.49419379234313965,
0.469732403755188,
-0.1669122278690338,
0.46395254135131836,
0.7401471734046936,
0.05351212993264198,
-0.14989671111106873,
-0.022478550672531128,
-0.6134467124938965,
-0.3961236774921417,
-0.02411397174000... |
instruction:
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Chan... | Changed
| 9 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.563396692276001,
0.934634804725647,
0.25750941038131714,
-0.5349283218383789,
-0.2026725709438324,
-1.0575381517410278,
0.22433441877365112,
1.1502680778503418,
0.0914035364985466,
-0.3876240849494934,
-0.8044215440750122,
-0.6770659685134888,
-0.863557755947113,
0.04198209196329117,
... |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expecte... | Text one | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.0337235927581787,
0.34430253505706787,
-0.18228258192539215,
-0.07218773663043976,
-0.44330957531929016,
-0.6715577840805054,
0.3350089192390442,
0.5221844911575317,
0.16589543223381042,
0.13774479925632477,
-0.31981712579727173,
0.3150647282600403,
-1.2391332387924194,
-0.2285034209489... |
Part 1. Definition
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the co... | A friend 's place , lunch with grandpa , more shopping. | 7 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.3916221261024475,
0.4561040997505188,
-0.1699538230895996,
0.7884944677352905,
0.11085114628076553,
-0.6700275540351868,
0.45416587591171265,
0.9530408382415771,
-0.36311787366867065,
-0.31546491384506226,
-0.5278942584991455,
-0.13103868067264557,
-0.5496428608894348,
-0.048697095364332... |
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: Today's Entrepreneurs are Advancing Mentorship Act of 2012 or TEAM Act of 2012 -... | A bill to establish an Office of Entrepreneurial Support within the Small Business Administration, and for other purposes. | 9 | NIv2 | task1659_title_generation | zs_opt | [
-0.3288341164588928,
0.14759039878845215,
-0.128134623169899,
0.029304660856723785,
0.11058199405670166,
-0.37528419494628906,
0.2750073969364166,
0.9695859551429749,
-0.16060961782932281,
0.6559666395187378,
0.28251054883003235,
0.7963877320289612,
0.13020627200603485,
-0.163771390914917,... |
You will be given a definition of a task first, then some input of the task.
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 se... | second | 1 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.3086846172809601,
0.7947012782096863,
-0.17251411080360413,
-0.01585013046860695,
-0.06201346218585968,
-0.14037616550922394,
0.27032485604286194,
0.4954373836517334,
0.1481575071811676,
0.12484540790319443,
-0.5505791902542114,
-0.7451838254928589,
-0.7274942994117737,
-0.0687462538480... |
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 deter... | Yes
****
| 4 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.3265532851219177,
-0.26843392848968506,
0.23907896876335144,
0.16532768309116364,
-0.7003825306892395,
-0.9746135473251343,
1.1954870223999023,
0.8791919946670532,
-0.5189660787582397,
-0.3791786730289459,
-0.48351243138313293,
0.019136525690555573,
-1.1339904069900513,
0.236177861690521... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
--------
Question: چند نفر از شما هستند که اگر کسی شروع به توضیح راز یک تردستی بکند ، گوشتان را می گیرید که نشنوید و می گویید من دوست ندارم بفهمم.
Answer: كم واحد منكم هنا, إذا شخصا ما — استعراضي بارع يبدأ يقول لكم خاصة كيف ي... | تاكد من كل شيء مرتب
| 7 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
0.053457751870155334,
0.905258059501648,
-0.2786332368850708,
-0.7484077215194702,
-0.3191070556640625,
0.41926032304763794,
0.91532301902771,
-0.23797938227653503,
0.3525446653366089,
-0.2175837606191635,
-1.1520051956176758,
-0.011306419968605042,
-0.9199110269546509,
0.5056060552597046,... |
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
One example is below.
Q: Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর্মরত একজন চীনের নাগরিককে দেশে ... | আইরিশ | 9 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.34464967250823975,
0.31378111243247986,
-0.06873300671577454,
0.05869240686297417,
0.296933114528656,
-0.3515350818634033,
-0.1441139280796051,
0.969112753868103,
-0.31462767720222473,
-0.07276035100221634,
0.11863361299037933,
0.6666945219039917,
-0.14703936874866486,
0.1409700512886047... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example Input: وانا ادعوهم "الصوفية\ الغامضة" والمحاربة لقد ولدت في عائلة ناشطةٌ سياسياً ملحدةٌ فكرياً
Example Output: Le chiamo "" il mistico "" e "" il guerriero "". Sono nata in una famiglia di atei politicamente attivi e... | C'è un asse qui, di 30, 40 Kg, che non ha uno scopo.
| 3 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.821091890335083,
0.42040279507637024,
-0.39813798666000366,
-0.27900853753089905,
-0.6879972219467163,
0.06739205121994019,
0.714998722076416,
0.48440831899642944,
0.42034557461738586,
-0.17688040435314178,
-0.7407674789428711,
0.6270169615745544,
-0.6675623655319214,
-0.486387610435485... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Problem:Is AUTHOR wrong in the post ? POST : My boyfriend loves social media... | no | 8 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.2543522119522095,
0.15907561779022217,
0.4417775869369507,
-0.10480073094367981,
-0.04572295397520065,
-0.31244009733200073,
0.4380437731742859,
0.42176005244255066,
0.2744245231151581,
-0.3495425283908844,
-0.46551400423049927,
-0.17425379157066345,
-1.2146806716918945,
-0.085959434509... |
Detailed Instructions: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
See one example below:
Problem: Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর... | বর্ধমান | 4 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
-0.11465328931808472,
0.19222357869148254,
-0.4784787893295288,
-0.06913814693689346,
-0.016798553988337517,
-0.31295251846313477,
-0.09112967550754547,
0.5809601545333862,
-0.16636765003204346,
-0.3657863140106201,
-0.5059990882873535,
1.026441216468811,
-0.20468655228614807,
0.1846592128... |
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.
--------
Question: Sentence 1: The wate... | neutral
| 7 | NIv2 | task1554_scitail_classification | fs_opt | [
-0.16178736090660095,
0.4419490694999695,
-0.3238745331764221,
-0.47301220893859863,
-0.06544157862663269,
-0.2065252959728241,
-0.5915337204933167,
0.8424440026283264,
-0.6528743505477905,
0.038940951228141785,
-0.5967423915863037,
-0.5336911082267761,
-0.49028217792510986,
-0.49151933193... |
Teacher:In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Teacher: Now... | Yes | 6 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.3428998291492462,
0.6898190975189209,
-0.12018891423940659,
0.2885543704032898,
0.08516774326562881,
-0.7365280389785767,
0.10337632149457932,
0.5118064284324646,
0.18409426510334015,
-0.4515077471733093,
-0.0750034973025322,
0.19946351647377014,
-0.3009500503540039,
0.00355526898056268... |
Given the task definition, example input & output, solve the new input case.
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: ... | Demographic | 1 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.30688685178756714,
-0.31817856431007385,
-0.45283037424087524,
0.2867090106010437,
-0.38861513137817383,
-0.3698580861091614,
0.16485542058944702,
0.3268664479255676,
-0.0880613774061203,
0.8614833354949951,
0.4457899034023285,
-0.2372131645679474,
0.13198961317539215,
-0.49846518039703... |
Given the task definition and input, reply with output. Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document to... | yes | 5 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.34938210248947144,
-0.12421876192092896,
-0.1285085678100586,
-0.25930964946746826,
-0.21778172254562378,
0.2419598400592804,
0.21134516596794128,
0.6015756130218506,
0.4087057113647461,
-0.1809726059436798,
-0.48345422744750977,
0.33097904920578003,
0.09220711886882782,
0.1552191823720... |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ഇത്രയും വലിയ അപകടത്തില് നിന്ന് രക്ഷപ്പെട്ട് വന്നിട്ടും തന്റെ ആവേശം, ഉത്സാഹം ഇതുപോലു... | ওর মধ্যে এই মনোবল, এই যে উদ্দীপনা রয়েছে... সেইটা আমাদের দেশের যুবসমাজের কাছে, তরুণ প্রজন্মের কাছে একটা প্রেরণা। | 6 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.19091317057609558,
0.28415465354919434,
0.6842690110206604,
-0.9518947601318359,
-0.2570454478263855,
-1.131075382232666,
1.0398942232131958,
0.30744415521621704,
-0.13668224215507507,
-0.2934315502643585,
-0.6053133010864258,
0.02276764065027237,
-0.9628686308860779,
-0.242440864443779,... |
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.
Ex Input:
S... | C
| 1 | NIv2 | task190_snli_classification | fs_opt | [
-0.462008535861969,
0.18396566808223724,
0.040298376232385635,
-0.309113085269928,
-0.17925956845283508,
-0.4538235068321228,
0.09352512657642365,
0.6791060566902161,
0.2136750966310501,
0.23327790200710297,
-0.4142344892024994,
-0.258491575717926,
-0.3095066249370575,
-0.19748654961585999... |
Definition: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Input: [38, -52, 79, 81, 58, 76, -47, -51, 41, 70, 13, 50, 25, -52... | [90, 131, 2, 23, 18, 123, 4, 92, 29, 57, 37, 25, 77, 27] | 2 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.659399151802063,
-0.0437016636133194,
-0.5515211820602417,
0.022621996700763702,
-0.030556436628103256,
0.11764150857925415,
0.7659959197044373,
0.05402666702866554,
0.7095561027526855,
-0.20646995306015015,
-0.4846481680870056,
-0.36218756437301636,
-0.2470969557762146,
0.3481440544128... |
Definition: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Input: Category: outdoor sport activity
Words: hunting, goat, camp, trap, fish
Output: | goat | 2 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.10912810266017914,
0.047202639281749725,
-0.8105553388595581,
0.2583692669868469,
-0.3235907256603241,
-0.09650483727455139,
0.3093615472316742,
0.06616954505443573,
-0.06064651906490326,
-0.5185080766677856,
-1.1571494340896606,
-0.06327757239341736,
-1.3790123462677002,
0.3155882954597... |
In this task, you are given a piece of an article. Your task is to generate a short summary of the text. Try to give the summary in just one sentence.
Input: Consider Input: Pakistan said on Thursday it has decided to resume cross-border trade in Kashmir after weeks of suspension over the arrest of a Pakistani driver ... | Output: The arms of brokers gave loans to clients to play on NSEL.
| 2 | NIv2 | task1355_sent_comp_summarization | fs_opt | [
-0.19133275747299194,
0.5736086368560791,
-0.08271332085132599,
0.05822857841849327,
-0.6202024817466736,
0.5521720051765442,
0.8772765398025513,
0.7202693819999695,
-0.49308446049690247,
0.8961966037750244,
-0.6500478982925415,
0.6414743661880493,
0.19346949458122253,
0.33658671379089355,... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that a public trust that exercised control over the beneficiarys employment did not change the benefit plan into a government plan because the trust did not establish the plan or control it | 9 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.7765581607818604,
0.36057621240615845,
-0.10294540226459503,
0.07890070974826813,
0.45289289951324463,
-1.0815961360931396,
0.48826950788497925,
1.0867570638656616,
-0.34627896547317505,
0.11462035775184631,
-0.26684415340423584,
0.3433036804199219,
-0.24998116493225098,
0.17944851517677... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | Output: weakener
| 2 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.07871203124523163,
-0.06975726038217545,
-0.8482482433319092,
0.5216037034988403,
0.10744743049144745,
-0.7506598234176636,
0.187276691198349,
1.3298081159591675,
0.5227040648460388,
-0.2653621435165405,
-1.2656385898590088,
0.17929011583328247,
-0.39297765493392944,
-0.4004114866256714,... |
Q: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:The group had an order book of EUR 7.74 mn at the end of 2007 .
polarity:negative
A: | false | 7 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.7743064761161804,
0.6584975719451904,
-0.25787436962127686,
0.5321031212806702,
-0.2362077236175537,
-0.5496820211410522,
0.34153446555137634,
0.03751176968216896,
0.4606384038925171,
-0.15213176608085632,
0.05162829905748367,
0.10331786423921585,
-0.2506905794143677,
-0.487957358360290... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
One example: ويوجد أساسا مرجل دوار.
Solution is here: É basicamente un caldeiro que rota.
Explanation: The Arabic sentence is correctly translated into Galician, because the meaning is preserved.
Now, solve this: جوسلين: إن... | JB: Isto é moi difícil de dicir. | 6 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.2619231343269348,
0.6231973171234131,
-0.14640842378139496,
-0.2564462721347809,
-0.16358773410320282,
0.05454479157924652,
0.6394856572151184,
-0.08663534373044968,
-0.23184195160865784,
-0.5245864391326904,
-0.7705171704292297,
-0.2351321578025818,
-0.8352764248847961,
0.7294760346412... |
Definition: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Question: Bread has little holes in it from carbon dioxide produced by what? Answer: yeast
Output: | Bread has little holes in it from carbon dioxide produced by yeast. | 2 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.3704703450202942,
0.9479882717132568,
-0.17223195731639862,
-0.21007820963859558,
-0.23467808961868286,
-0.5137865543365479,
-0.42478126287460327,
0.7113255262374878,
-0.3122275471687317,
-0.1911144256591797,
-1.0166943073272705,
-0.29116299748420715,
-0.21992796659469604,
0.434517562389... |
Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: ART & ARTISTS
Clue: In 1879 she became the first & only America... | mary cassatt | 3 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.48573699593544006,
0.4696964919567108,
-0.2471056580543518,
0.12620896100997925,
0.229127436876297,
-0.30966633558273315,
0.10469726473093033,
0.05758208408951759,
0.6035189628601074,
0.12347471714019775,
0.01696760579943657,
-0.17544102668762207,
0.34819483757019043,
-0.232488691806793... |
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.
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techn... | SS4MCT: A Statistical Stemmer for Morphologically Complex Texts | 0 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.28949129581451416,
0.049582917243242264,
0.0018171025440096855,
0.2851756811141968,
0.14525437355041504,
-0.5467848777770996,
0.799618124961853,
0.1913127303123474,
0.14784488081932068,
0.015473954379558563,
-1.0915915966033936,
0.35868263244628906,
-0.5040225386619568,
0.14878213405609... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
הגיאומטריה והגיאוגרפיה של הרשת היא ברובה קישורי טקסט-אל-טקסט.
| La topología, la geografía de la Web se basa en su mayoría en enlaces de texto a texto. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.9214057326316833,
0.7936093807220459,
0.650337815284729,
-0.5962343811988831,
-0.5204415321350098,
0.10834162682294846,
0.37360548973083496,
0.35010290145874023,
0.24487784504890442,
-0.633832573890686,
-0.6975509524345398,
0.5356897115707397,
-0.4652106761932373,
0.1656988263130188,
... |
In this task, you are given two questions about a domain. Your task is to combine the main subjects of the questions to write a new, natural-sounding question. For example, if the first question is about the tallness of the president and the second question is about his performance at college, the new question can be a... | Who was the father of the first lady of this president?
| 3 | NIv2 | task121_zest_text_modification | fs_opt | [
0.2719642221927643,
-0.07690061628818512,
-0.2530652582645416,
0.3038409948348999,
-0.4132606089115143,
-0.3964087665081024,
0.8552888631820679,
0.8980149030685425,
-0.2829432785511017,
-0.6589372754096985,
-0.46884050965309143,
0.543224573135376,
-0.5870380401611328,
0.3038492798805237,
... |
In this task, you are given a string with duplicate characters ocurring in the string. You need to return the character which is ocurring with the maximum frequency. In case of a tie, return the character with the least ascii value.
Ex Input:
jfllndcpmhdtczztrbufmubisxwbercpoueqaavlyn
Ex Output:
b
Ex Input:
bjodsie... | f
| 1 | NIv2 | task1188_count_max_freq_char | fs_opt | [
-0.8043071627616882,
0.391940712928772,
-0.11289680004119873,
-0.2346813976764679,
-0.02907189168035984,
0.34050822257995605,
1.0569539070129395,
0.0537278912961483,
-0.3343825340270996,
-0.08133068680763245,
-0.6059528589248657,
0.019589422270655632,
-0.04177623242139816,
-0.0149438139051... |
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 music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall senti... | NEG | 0 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.446817010641098,
-0.2871662974357605,
-0.7088462114334106,
0.5055845975875854,
1.0221726894378662,
-0.25452280044555664,
1.0886874198913574,
0.5220489501953125,
0.12044714391231537,
0.2703375816345215,
0.015308280475437641,
0.41572678089141846,
-0.299140065908432,
0.4119036793708801,
-... |
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... | Siete impotenti di trovare una borsa a tracolla in un grande magazzino. | 4 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
0.10799108445644379,
0.4932596981525421,
-0.07641386240720749,
0.23533713817596436,
-0.3224908113479614,
-0.4542634189128876,
0.26130199432373047,
1.4219491481781006,
-0.2040410190820694,
-0.5110902786254883,
-0.8042736053466797,
0.187236949801445,
-0.04532548785209656,
0.5553961992263794,... |
Q: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact... | Plucking a string on a guitar creates sound. | 7 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.12480241060256958,
0.863939642906189,
-0.9438656568527222,
0.03689227253198624,
-0.31438612937927246,
-1.0962896347045898,
-0.14041157066822052,
0.6711700558662415,
-0.513516366481781,
0.18290925025939941,
-0.7480357885360718,
0.737566351890564,
-0.5531808137893677,
-0.09809112548828125... |
Instructions: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partia... | बिन्दु% 1 तथा% 2 के वी निर्देशांकों को भिन्न होने चाहिएँ. | 3 | NIv2 | task877_kde4_translation | zs_opt | [
-0.42801016569137573,
0.20424795150756836,
0.47195640206336975,
0.45205315947532654,
0.26195868849754333,
-0.5451704263687134,
0.567002534866333,
0.012921764515340328,
-0.05763384699821472,
-0.7587664127349854,
-0.9600561857223511,
0.2851267457008362,
-0.3271191120147705,
0.309631496667861... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
La combinatoria è un'affascinante e interessante branca della matematica.
וקומבינטיריקה היא ענף נפלא ומעניין של מתמטיקה.
Ho lavorato su sanità, ambiente, sviluppo economico, riduzione della povertà, e lavorando sempre più ... | עדיף לנו לעבור מבשר, מבקר לחרקים.
| 0 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.47840484976768494,
0.4953070282936096,
0.06736594438552856,
-0.22377602756023407,
-0.432260662317276,
-0.004527175799012184,
0.02722470834851265,
0.7487969994544983,
0.46626555919647217,
-0.0704636201262474,
-0.6236618757247925,
-0.029977871105074883,
-0.6119824647903442,
0.506704449653... |
Teacher:Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is... | trash | 6 | NIv2 | task1155_bard_analogical_reasoning_trash_or_treasure | zs_opt | [
0.16614559292793274,
0.7762486338615417,
0.3357273042201996,
0.023210832849144936,
-0.08017940074205399,
-0.7250263690948486,
0.5751159191131592,
1.202601671218872,
-0.264824241399765,
0.00649414025247097,
0.06874200701713562,
0.006345746107399464,
-0.5401418209075928,
-0.4368602931499481,... |
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.
Q: SEQtRoYy, ytQtRoewf
A: | e, f, o, q, r, t, w, y | 4 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.08881762623786926,
1.4350082874298096,
0.2516716420650482,
-0.4103243052959442,
0.3530670404434204,
0.23633167147636414,
0.05990402400493622,
-0.23651596903800964,
0.40705421566963196,
0.07597874104976654,
0.30059075355529785,
0.005314402747899294,
-0.11509890854358673,
0.27490776777267... |
Given the task definition and input, reply with output. In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
When they have relatable characters.
| Do you like reading scary novels ? | 5 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.5848386287689209,
1.0121053457260132,
0.1346222311258316,
0.039656613022089005,
-0.13665325939655304,
-0.24035708606243134,
0.2170320451259613,
-0.18386146426200867,
0.5039368271827698,
-0.23303687572479248,
-0.8701967000961304,
0.3211566209793091,
-0.49771925806999207,
0.35325306653976... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: and now believed he had forgiven me once more.
A: و حالا باور داشت که بار دیگر مرا بخشیده.
****
Q: He only wanted our leave to love her and work for her,
A: او فقط از ما خواست که اجازه دهیم مگ را دوست داشته باشد و بر... | از اطاقش خارج میشد، در خانه راه میافتاد و هر شرارتی را که به فکرش میرسید مرتکب میشد.
****
| 4 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.3170813024044037,
0.8969680666923523,
-0.24587707221508026,
-0.2732563018798828,
-0.27187615633010864,
-0.7976488471031189,
0.735923171043396,
0.13859699666500092,
0.05101368576288223,
-0.36608394980430603,
-0.3231746554374695,
0.561684250831604,
-0.019382013007998466,
0.480141848325729... |
Teacher: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: उत... | अश्मंत | 2 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.001848168671131134,
0.5586326122283936,
0.1496928334236145,
-0.8966556787490845,
-0.4516538083553314,
-0.6473324298858643,
0.3956665098667145,
0.8907270431518555,
-0.5587655305862427,
-0.19894200563430786,
0.07906589657068253,
-0.02146759442985058,
-0.44094330072402954,
-0.25437000393867... |
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.
Example Input: passage: Now You See Me is a series of heist thriller film written by Ed Solomon, Boaz Yakin, and Edward Ricourt. They focus on the actions of a tea... | Yes
| 3 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.8283065557479858,
0.7360668182373047,
-0.5582824349403381,
0.4361087679862976,
0.5090656876564026,
0.3725782334804535,
0.6121075749397278,
1.1036252975463867,
-0.6408799886703491,
0.04761096090078354,
-0.13920769095420837,
0.6960780620574951,
-0.2744000554084778,
0.14325493574142456,
0... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 3 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.30161476135253906,
0.08863317966461182,
0.201335147023201,
-0.1897292584180832,
-0.600839376449585,
-1.0199666023254395,
0.9389301538467407,
0.32349351048469543,
-0.40507882833480835,
-0.4296070337295532,
-0.2118079960346222,
-0.38740792870521545,
-0.5887264013290405,
0.23353557288646698... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Problem:若いチベット人は ― 非暴力では対応できない
Solution: | A młodzi ludzie, młodzi Tybetańczycy, zaczynają mówić: słuchaj to nie przynosi rezultatu. | 8 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.3285428285598755,
0.5141851305961609,
-0.4312039017677307,
-0.2613375782966614,
0.04572486877441406,
-0.5733523368835449,
0.8874853849411011,
-0.39677420258522034,
0.6473360061645508,
-0.4112870693206787,
0.011013167910277843,
0.1670638620853424,
-0.7327163219451904,
0.23607143759727478,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Example inp... | 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 18, 19, 20, 22, 25, 26, 28, 30, 32, 33, 35, 36 | 3 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.23566289246082306,
-0.023418661206960678,
-0.18071229755878448,
-0.21724392473697662,
0.6928609013557434,
-0.9439988136291504,
0.827856183052063,
0.3631744384765625,
-0.5136159658432007,
0.2709886431694031,
-0.3866252899169922,
0.25541526079177856,
-0.04257047921419144,
0.433468431234359... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example is below.
Q: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हु... | Founded in 1969, it now has 3,000 members and is headquartered in Fort Collins, Colorado. | 9 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.08815085887908936,
0.8199414014816284,
-0.1721648871898651,
0.2846187949180603,
-0.011985816061496735,
-0.41171059012413025,
-0.8500284552574158,
0.3000718951225281,
-0.030380239710211754,
-0.18218998610973358,
-0.6391966342926025,
0.035835593938827515,
0.1806723177433014,
0.480537950992... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_WALK I_WALK I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
-0.031824883073568344,
0.8295238018035889,
-0.446401983499527,
0.3840365409851074,
0.05819052457809448,
-0.043808817863464355,
0.08933113515377045,
0.00981766264885664,
-0.1579383909702301,
-0.3054192364215851,
-0.6575134992599487,
-0.26429152488708496,
-0.4067445993423462,
-0.195192784070... |
Teacher: "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". In... | Response 2 | 2 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.6751911640167236,
0.34235355257987976,
0.2234959900379181,
-0.11864009499549866,
0.2757291793823242,
-0.7525469064712524,
-0.1566147804260254,
0.7824186086654663,
-0.433198481798172,
-0.28202685713768005,
-0.2634509205818176,
-0.10127264261245728,
-0.7931930422782898,
-0.4827053546905517... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Example input: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example output: a, 34, f
Examp... | 7463, o, M | 3 | NIv2 | task063_first_i_elements | fs_opt | [
-0.21271896362304688,
0.5511060953140259,
-0.31557178497314453,
-0.7960350513458252,
-0.07491496205329895,
-0.23439136147499084,
0.7659931182861328,
0.2541072368621826,
-0.11422589421272278,
-0.08169487863779068,
-1.0125048160552979,
-0.07452048361301422,
0.03068605810403824,
-0.7209932804... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a man gives children food to feed an elephant'. Count the number of consonants in the given sentence.
A: 22
****
Q: Sentence: 'a big pile of pizzas t... | 12
****
| 4 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.3064839243888855,
0.5022668242454529,
-0.7782953381538391,
-0.5183935165405273,
-0.23135937750339508,
0.17107021808624268,
0.09459616243839264,
0.7479400634765625,
-0.002572272904217243,
-0.3217787742614746,
-0.20341700315475464,
0.08966971933841705,
-0.45681262016296387,
-0.332068622112... |
Given the task definition and input, reply with output. In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
When a stream or river slows down, it starts dropping ... | No | 5 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.0021254876628518105,
-0.1572236716747284,
-0.16625246405601501,
0.10510507225990295,
-0.4099622368812561,
-0.404291033744812,
0.18076318502426147,
0.928926944732666,
0.4364256262779236,
-0.2738282382488251,
-0.06821835041046143,
-0.19700567424297333,
-0.896795392036438,
0.008544377982616... |
instruction:
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
question:
はっきり言って . 長いだけ。 一巻、多くて二巻程度で起承転結を収めることができるくらいの内容なのに無駄に長々とやってしまったため... | POS
| 9 | NIv2 | task485_cls_japanese_books_classification | fs_opt | [
-0.01566513255238533,
-0.5015270709991455,
0.22789795696735382,
-0.354401171207428,
0.7596124410629272,
-0.11544546484947205,
1.4336662292480469,
0.4087607264518738,
-0.6359586715698242,
-0.2757037878036499,
-0.7394788861274719,
0.384414404630661,
-0.20178315043449402,
0.055471405386924744... |
You will be given a definition of a task first, then some input of the task.
Translate from English to Hindi.
Now, do you think you can handle that?
Output: | अब, तुम्हें क्या लगता है कि तुम संभाल लोगी? | 1 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
-0.20112112164497375,
0.7156982421875,
-0.3657543957233429,
0.3225748836994171,
0.16691216826438904,
-0.26937806606292725,
0.16543374955654144,
0.3306804895401001,
0.21362702548503876,
0.02890084870159626,
-0.3462892472743988,
0.1809905767440796,
0.1493549793958664,
0.15175148844718933,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | f, r, A, f, E, Z, K, S, N, 2761, 4685, 1887, 4585, 9705, 3765, 9329, 991, 6545, 1591, 1063, 6667
****
| 4 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.011932622641324997,
0.11083177477121353,
-0.5297479033470154,
-0.25845563411712646,
-0.04715082794427872,
-0.300859272480011,
0.3791400194168091,
0.5900071859359741,
-0.570592999458313,
0.4136725962162018,
-0.6724557280540466,
-0.0002027922892011702,
-0.019371094182133675,
-0.12795677781... |
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 Arabic, and your task is to translate it into English.
كان محارب
Output: | He was a warrior. | 1 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.04917749762535095,
0.45611873269081116,
0.2300020158290863,
-1.0665017366409302,
-0.08312150835990906,
0.2019711434841156,
1.031010389328003,
0.33476269245147705,
0.8870339393615723,
0.33623817563056946,
-0.3885301351547241,
-0.19267764687538147,
-1.098321557044983,
-0.12505638599395752,... |
Teacher:You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Teacher: Now, understand the problem? Solve this instance: Ilaro Poly: Ààrẹ ẹgbẹ́ akẹ́kọ̀ọ́ ní ṣọ́ọ́ṣì ni òun ń lọ, àmọ́... | Nigeria | 6 | NIv2 | task612_yorubabbc_classification | zs_opt | [
0.4147797226905823,
0.020135026425123215,
0.12100154906511307,
-0.22991672158241272,
-0.176290825009346,
-0.3664904832839966,
-0.35099250078201294,
0.2350935935974121,
0.23800572752952576,
-0.27039986848831177,
0.16048982739448547,
-0.24501286447048187,
-0.6797592639923096,
-0.307591468095... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: This movie is really bad. The acting is plain awful except Michael Ironside. I don't get the story. Richard Grieco is the only surviv... | Output: negative
| 2 | NIv2 | task284_imdb_classification | fs_opt | [
-0.12278513610363007,
0.6054320335388184,
-0.2627009153366089,
0.12932048738002777,
0.38884252309799194,
-0.16040930151939392,
0.7092891931533813,
1.0625616312026978,
-0.4806763231754303,
0.23178918659687042,
0.052792828530073166,
-0.46111637353897095,
-0.44266968965530396,
-0.470533013343... |
Teacher:In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M ... | C | 6 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.030439311638474464,
-0.42568081617355347,
0.27424681186676025,
-0.9129696488380432,
0.5658639669418335,
-0.25306713581085205,
0.23318694531917572,
0.78659987449646,
0.04224717617034912,
0.37607482075691223,
-0.2181461602449417,
-0.2340465486049652,
0.4098750948905945,
-0.540257692337036... |
Given the task definition and input, reply with output. Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ខ្សែភាពយន្តដ៏ទៃទៀតរួមមាន A Thousand Kisses Deep និង A White Mule។
| 他に、AThousandKissesDeepやAWhiteMuleを含む映画もある。 | 5 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.08297789096832275,
0.23297259211540222,
-0.10220050066709518,
-0.2208292931318283,
0.07656358182430267,
0.39626315236091614,
0.025790495797991753,
-0.26115480065345764,
-0.44707751274108887,
-0.25122517347335815,
-0.06140817701816559,
0.09983720630407333,
-0.3261212110519409,
-0.0130143... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Where do they get the art pieces that are in the center for art in Nepal?, Context: Kathmandu is a center for art in Nepal, displaying the wo... | national, Asian, and global influences | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.20544882118701935,
-0.09880637377500534,
-0.026548538357019424,
0.2183605432510376,
0.11408381909132004,
-0.23498135805130005,
0.1971665769815445,
0.6650079488754272,
0.0370221771299839,
0.2356845736503601,
-0.30729496479034424,
0.9196032881736755,
-1.1123096942901611,
0.517772674560546... |
Part 1. Definition
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your ... | Someone is using a campfire to cook hashbrowns . | 7 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.4925873875617981,
0.6418879628181458,
-0.3307270407676697,
0.31915682554244995,
-0.06729568541049957,
-0.35242635011672974,
0.6053627729415894,
0.11471422016620636,
-0.08120995759963989,
-0.4594934582710266,
-0.6080611944198608,
0.15346135199069977,
-0.6702046990394592,
-0.21149902045726... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
One example: A herd of sheep standing together grazing ... | English | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.40451282262802124,
0.41393235325813293,
0.5521847009658813,
-0.18420904874801636,
0.021023999899625778,
-0.8425516486167908,
-0.0865262895822525,
-0.08810301125049591,
0.0714816004037857,
-0.6941666603088379,
-0.3926869034767151,
0.007609738036990166,
-0.5666263103485107,
-0.17573836445... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to... | d | 1 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.4271555542945862,
-0.010304675437510014,
-0.8516139984130859,
0.295640230178833,
-0.17804302275180817,
0.4427410364151001,
-0.25332891941070557,
0.5735791921615601,
-0.2713565528392792,
0.04800338298082352,
-0.7694133520126343,
0.34193873405456543,
-0.16259446740150452,
-0.31867766380310... |
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.
"พวกเราไม่รู้สึกว่า พวกเราต้องดูแลทุกอย่างด้วยตัวเอง
| "We don't feel like we have to cover everything ourselves. | 5 | NIv2 | task537_alt_translation_th_en | zs_opt | [
-0.7037506699562073,
0.673640787601471,
0.8038585782051086,
-0.5415974855422974,
-0.05787625163793564,
-1.1758358478546143,
0.526850163936615,
0.3637176752090454,
0.44829243421554565,
0.17156118154525757,
0.42340654134750366,
0.6478451490402222,
-0.5733770728111267,
0.256172239780426,
0.... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
لا اعلم اذا كان حيا, لا اعلم اذا كان يعذب
Output: | אני לא יודעת אם הוא חי. אני לא יודעת אם מענים אותו. | 1 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.6721833944320679,
0.46891891956329346,
0.19439111649990082,
0.14072352647781372,
-0.42300835251808167,
0.3257465958595276,
1.0402984619140625,
0.31133490800857544,
0.49998965859413147,
0.34913313388824463,
-0.5951080322265625,
-0.22165554761886597,
-0.8099418878555298,
0.47476726770401,... |
Given the task definition, example input & output, solve the new input case.
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,... | fiction | 1 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.0496282577514648,
0.4814509451389313,
-0.023832185193896294,
-0.4968743920326233,
0.25619733333587646,
-0.09886616468429565,
-0.1342015117406845,
0.6662430167198181,
0.05855194479227066,
-0.17429642379283905,
-0.2456413209438324,
-0.2507937550544739,
0.3159719705581665,
-0.5583891868591... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Input: Consider Input: ... | Output: 34521
| 2 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.6808422803878784,
0.06299801915884018,
-0.842625617980957,
0.1732524037361145,
0.2903459072113037,
-0.29736530780792236,
0.43697237968444824,
0.9340278506278992,
-0.5236179828643799,
0.51573646068573,
-0.4569385051727295,
-0.28461289405822754,
-0.7009893655776978,
-0.06870260834693909,
... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Example: Състав на Парламента: вж. протоколи
Example solution: Membership of Parliament: see Minutes
Example explanation: Bulgarian sentence is converted into english sentence.
P... | Solution: Mr President, ladies and gentlemen, after 10 years, the growing space carved out by the euro in international trade and its use as a reserve currency show that it has become a world benchmark. | 5 | NIv2 | task271_europarl_translation | fs_opt | [
0.05805530026555061,
0.5613391399383545,
-0.14733240008354187,
0.5190967321395874,
0.11434903740882874,
-0.8379001617431641,
0.8193362355232239,
0.8310333490371704,
0.3629223108291626,
0.03634633123874664,
0.2470020353794098,
1.0241670608520508,
-0.4492686688899994,
-0.12316879630088806,
... |
TASK DEFINITION: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
PROBLEM: Earth's Best Turkey Vegetable Dinner hits the spot with apples with turkey. You can ad... | way too sweet
| 8 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.7250640392303467,
0.2526615858078003,
-0.3769742250442505,
0.15496790409088135,
-0.24699513614177704,
0.09803589433431625,
0.6313006281852722,
0.5858554840087891,
-0.041031911969184875,
0.43832144141197205,
0.35331958532333374,
-0.03624210134148598,
-0.98203444480896,
0.3598706126213074,... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Non-aggresive | 0 | NIv2 | task336_hateeval_classification_aggresive_es | zs_opt | [
-0.48920485377311707,
0.679652988910675,
0.16966864466667175,
-0.07227201759815216,
-0.19947905838489532,
-0.46999338269233704,
0.6134012937545776,
1.382595419883728,
0.13688167929649353,
0.061749912798404694,
-0.38867247104644775,
0.024128414690494537,
-0.9563424587249756,
-0.433585166931... |
Teacher:In this task, you are given a paragraph and question in Chinese. The answer to the given question is a span from the given passage. Your task is to generate the starting index of answer span for the given question from the passage.
Teacher: Now, understand the problem? Solve this instance: passage : 《赵紫阳软禁中的谈... | 49 | 6 | NIv2 | task1571_cmrc2018_answer_generation_starting_index | zs_opt | [
1.1544822454452515,
0.27550920844078064,
-0.7685191631317139,
0.018555138260126114,
0.43528732657432556,
-0.4376973807811737,
0.7810840606689453,
0.23277702927589417,
0.18809562921524048,
-0.22661688923835754,
-1.0811063051223755,
0.6807136535644531,
-0.6275523900985718,
0.0549694150686264... |
Q: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'a parrot sits atop the grille keeping watch'. Count the number of vowels in the given sentence.
A: | 13 | 7 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.29179227352142334,
0.8762935400009155,
-0.9388723373413086,
-0.6293153166770935,
-0.33627980947494507,
-0.3761281967163086,
0.23109927773475647,
0.3089194893836975,
0.07465505599975586,
-0.4253762364387512,
-0.4056863784790039,
0.04395624250173569,
-0.2795405387878418,
-0.331958830356597... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
[Q]: 銀河が光の直線上にあると推測するので実際よりも上に位置づけてしまうわけです
[A]: اگر ما این خط را ادامه بدهیم خواهیم گفت که کهکشان ما در این بالا واقع شده است.
[Q]: この高い橋で重要なことは、あたな自身が橋の上にいる資格があると確信し、必要なスキルや経験を全て備えており、橋を渡ることができると確信することあとは最初の一歩を踏み出す為の決断を... | ما الآن داریم انواع دیگه ی انرژی رو امتحان میکنیم ، انرژی های جایگزین ، ولی بهمون اثبات شده که کار سختیه که یک راهی رو پیدا کنیم که علاوه بر مناسب بودن مقرون به صرفه هم باشه مثل نفت ، گاز و زغال سنگ.
| 5 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.08501286804676056,
0.26257339119911194,
0.22270467877388,
-0.44770801067352295,
-0.6397291421890259,
-0.31250521540641785,
1.144128441810608,
0.4456135034561157,
0.03613479435443878,
-0.4091571271419525,
-0.45037686824798584,
-0.12887808680534363,
-0.4249351918697357,
0.0442047007381916... |
Given the task definition and input, reply with output. In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer t... | On 6 October, Milan Nedić, the Prime Minister of the Axis-installed puppet Government of National Salvation, appointed Mušicki to lead the Serbian Volunteer Command (, SDK) | 5 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.4284045100212097,
0.08920881152153015,
-0.2274155616760254,
-0.4092516303062439,
-0.1472703516483307,
0.42345330119132996,
1.1770150661468506,
-0.23649485409259796,
0.5979214906692505,
-0.11978831887245178,
-0.8512890338897705,
0.013244286179542542,
-1.02197265625,
-0.03974776342511177,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example input: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Example output: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É co... | Non deixaba de intentar alimentarme con pingüíns. | 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-1.1271599531173706,
0.7276421189308167,
0.4516638517379761,
-0.6870165467262268,
-0.6621488332748413,
-0.3460034728050232,
0.7727009057998657,
0.1652393341064453,
-0.8985832929611206,
-0.772973895072937,
0.06027170270681381,
-0.003656939137727022,
-1.1901342868804932,
-0.27587515115737915... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentenc... | Solution: no | 5 | NIv2 | task199_mnli_classification | fs_opt | [
-0.6289321184158325,
0.15852244198322296,
0.7308372259140015,
-0.5390381217002869,
0.096788190305233,
-0.7892422080039978,
-0.09870915114879608,
0.5176419019699097,
0.20777970552444458,
-0.09364798665046692,
-0.2370903193950653,
-0.8499312400817871,
-0.5061736106872559,
-0.2846312224864959... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Ex Input:
Context: Obama to Bernie Sanders... | yes
| 1 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.8725624680519104,
-0.28733164072036743,
0.1511332392692566,
0.3724420368671417,
-0.15977764129638672,
-0.26690900325775146,
0.033520400524139404,
0.5696457028388977,
0.2287428081035614,
0.339595228433609,
0.09502008557319641,
0.18911811709403992,
-0.14902958273887634,
-0.353228896856308... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
See one example below:
Problem: Wszystko jest robione pomiędzy żebrami.
Solution: 全て肋骨の間から行うのです
Explanation: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.... | スライドに見えるのは私のラボの誰かが細菌の入った液体培地フラスコを持っているところで細菌は海洋由来のビブリオ・フィシェリという、美しく無害な種です | 4 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.4361799955368042,
0.2910447418689728,
-0.864436149597168,
-0.2612113356590271,
-0.05450465530157089,
-0.043387286365032196,
0.8988311886787415,
-0.28317728638648987,
-0.29303863644599915,
-0.2976377010345459,
-0.10713490843772888,
0.8163002729415894,
-0.7034060955047607,
0.6829214692115... |
Part 1. Definition
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign t... | informal | 7 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.27449870109558105,
0.4154716730117798,
-0.2257879078388214,
-0.20160433650016785,
0.24434266984462738,
-0.8061259984970093,
0.6493478417396545,
0.5671486258506775,
-0.1894429326057434,
0.15372616052627563,
-0.5864248275756836,
-0.30401092767715454,
-0.5505188703536987,
-0.154309868812561... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | True
| 7 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.3543469309806824,
0.12830987572669983,
-0.10941256582736969,
0.443765789270401,
0.17516444623470306,
-0.9610388278961182,
0.7967334985733032,
0.8348323702812195,
-0.3942602872848511,
-0.09123273193836212,
-0.34991636872291565,
-0.1137259304523468,
-0.13126635551452637,
0.0011697439476847... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 8 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.46377643942832947,
0.3231215476989746,
0.3798694908618927,
-0.32713475823402405,
-0.5606696605682373,
-0.8532755374908447,
1.1776400804519653,
0.502456545829773,
-0.3078717887401581,
-0.3583853840827942,
-0.5789529085159302,
-0.39903098344802856,
-0.9025410413742065,
0.3346794545650482,
... |
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... | [-14, 8, 15, 12, -13, -20, -8, 8, -15] | 8 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.7681260108947754,
0.025675639510154724,
-0.7765889167785645,
-0.41662973165512085,
0.09362748265266418,
-0.2241547703742981,
1.457892656326294,
0.24005183577537537,
0.2573171555995941,
-0.4625535011291504,
-0.37963545322418213,
-0.2707354426383972,
-0.5743921995162964,
0.2129408121109008... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Então, isto é mesmo possível?
A: | Tutto questo è realmente possibile? | 7 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.3534737825393677,
1.4961555004119873,
0.3281690180301666,
0.5688579082489014,
-0.37399375438690186,
-0.19998621940612793,
-0.12460898607969284,
0.9997584223747253,
0.8951109051704407,
-0.4619826078414917,
-0.7056684494018555,
0.7620601058006287,
0.42823901772499084,
0.07173682749271393,... |
Given the task definition, example input & output, solve the new input case.
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong t... | COORD | 1 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.9955654144287109,
0.4982997477054596,
-0.12831538915634155,
0.21568822860717773,
-0.2671697735786438,
-0.1552267074584961,
0.22697867453098297,
0.044810518622398376,
0.40897876024246216,
-0.40951377153396606,
-0.6247862577438354,
-0.23451882600784302,
-0.3158615231513977,
0.468454062938... |
Detailed Instructions: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Problem:Event:PersonX gives PersonY death. Intent: 1) to treat personx's mome to dinner 2) to help her get to the doctor
Soluti... | Negative | 8 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.5972034931182861,
0.07244057953357697,
0.32122647762298584,
-0.44099879264831543,
-0.2723812460899353,
-1.082338809967041,
0.8507637977600098,
0.32344794273376465,
0.4024486839771271,
0.059321917593479156,
0.027097392827272415,
0.053341202437877655,
-0.30892491340637207,
0.2804653644561... |
Teacher: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not ch... | Growing a garden was easy for PersonX but not PersonY because _ had a small backyard. | 2 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.8869756460189819,
0.12328162044286728,
-0.3284001350402832,
-0.34183016419410706,
0.2809523940086365,
-1.305314064025879,
1.2835206985473633,
0.8658024668693542,
-0.4723209738731384,
-0.42517417669296265,
-0.2564854025840759,
0.2984989285469055,
-0.9073785543441772,
0.2650466561317444,
... |
Part 1. Definition
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an i... | [-3910635, 0, -245, 0, -627, -15, -675, 0] | 7 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.3216990828514099,
-0.17458844184875488,
-0.8802490234375,
-0.056846991181373596,
0.42911404371261597,
-0.24135847389698029,
1.1749134063720703,
0.6444352269172668,
-0.4180411994457245,
-0.13832040131092072,
-1.4429792165756226,
-0.4489791989326477,
-0.28059351444244385,
-0.36978191137313... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Ahora quiero convencerlos de que a todos nos guía una ilusión, una ilusión de que la historia, nuestra historia personal, ha llegado a un final, que acabamos de convertirnos en las personas que estábamos destinados a ser y... | امروز میخواهم شما را قانع کنم که همه ما دچار یک توهّم هستیم ، این توهّم که تاریخ ، تاریخ شخصی ما ، به پایان خود رسیده ، که همین اواخر افرادی شده ایم که همیشه می خواستیم باشیم و برای بقیه عمر خواهیم بود. | 7 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.9185642600059509,
1.1141536235809326,
0.11241220682859421,
-0.9244216680526733,
-0.8911644220352173,
-0.5706131458282471,
1.1291770935058594,
0.25277000665664673,
0.29179471731185913,
-0.10686445236206055,
-0.2190769910812378,
0.4483613967895508,
-0.26037245988845825,
0.7052918672561646... |
Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Wenig fundiertes Geschwalle . Wie es hald so ist mit Pease und Pease. ... | NEG | 3 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.3500644266605377,
0.47163283824920654,
0.29306644201278687,
-0.26162996888160706,
0.5303071737289429,
0.27418407797813416,
1.4334638118743896,
0.34074667096138,
0.42713040113449097,
0.3367825150489807,
-1.0541958808898926,
-0.4929816722869873,
-0.3436601459980011,
-0.46474704146385193,
... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
PROBLEM: יום לפני האירוע התקשרתי לראש מחלקת יחסי הציבור של החברה.
SOLUTION: Dzień przed tą imprezą, zadzwoniłem do ich działu PR.
PROBLEM: זה בניין יחודי בן שש קומות על האי באלי.
SOLUTION: To sześciopiętrow... | Byłam w szoku.
| 8 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.25288301706314087,
0.5328298807144165,
0.09760232269763947,
-0.39431285858154297,
-0.6987556219100952,
0.34105727076530457,
1.1905083656311035,
-0.48635441064834595,
0.05874691903591156,
-0.28668665885925293,
-0.698339581489563,
0.9127874970436096,
-0.7936155796051025,
0.598582863807678... |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Sentence1: My recent blood test INR 1.12 APTT ... | Similar
| 0 | NIv2 | task1645_medical_question_pair_dataset_text_classification | fs_opt | [
-0.02439500205218792,
0.06730432063341141,
-0.42394280433654785,
-0.025563577190041542,
-0.059698328375816345,
-0.5124242305755615,
0.9238899946212769,
0.413282185792923,
0.2738304138183594,
-0.3239966928958893,
-1.1492030620574951,
0.4650595188140869,
-0.8345044851303101,
0.24865339696407... |
In this task your given two statements in Swahili. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Wasafiri wamefika mpakani.
Afisa doria alikagua pasi zao za ku... | effect
****
| 4 | NIv2 | task1175_xcopa_commonsense_cause_effect_sw | fs_opt | [
-0.5308431386947632,
0.6478784084320068,
0.2629162669181824,
-0.8956857919692993,
-0.7120906114578247,
-0.4708651006221771,
0.3438447117805481,
1.1187002658843994,
0.09819574654102325,
-0.26043879985809326,
-0.4312041401863098,
0.2819530963897705,
-0.5098464488983154,
-0.49196743965148926,... |
Given a sentence in French, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: Consider Input: Kevin Lepage a commencé troisième, Terry Labonte comme quatrième et Robby Gordon s'est qualifié comme cinquième.
Output: Kevin Lepag... | Output: 이것은 시즌을 완료하는 마지막 AFL 챔피언십이었고, 1966 년 시즌 첫 번째 슈퍼 볼이 그 뒤를이었다.
| 2 | NIv2 | task790_pawsx_french_korean_translation | fs_opt | [
-0.15530049800872803,
0.6046355962753296,
-0.2839610278606415,
-1.0121119022369385,
-0.2910228967666626,
-0.06708350777626038,
0.6101689338684082,
-0.34207022190093994,
-0.43676620721817017,
-0.01848689280450344,
-0.4383312165737152,
1.0319792032241821,
-0.1796857714653015,
0.4602426588535... |
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