inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alterna... | 2 | 1 | NIv2 | task1174_xcopa_commonsense_reasoning_sw | zs_opt | [
-0.7462988495826721,
0.8215649127960205,
0.2629433870315552,
0.3211197853088379,
-0.3321142792701721,
-0.058097679167985916,
1.1153699159622192,
0.3824813663959503,
0.45810800790786743,
0.06126973405480385,
-0.2590286433696747,
-0.31260889768600464,
-0.23153594136238098,
0.0843210369348526... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | Output: 3
| 2 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.21713359653949738,
0.041247107088565826,
-0.18519610166549683,
0.2984769940376282,
0.4284365177154541,
-0.47473961114883423,
0.08709380030632019,
1.3988902568817139,
0.09092572331428528,
0.5413854718208313,
0.08123122155666351,
-0.05032986402511597,
-0.5424294471740723,
-0.36042451858520... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Input: إنه تحسن هائل.
Output: | To wielka poprawa. | 2 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.4749627709388733,
0.8044615387916565,
0.08714663982391357,
-0.36562883853912354,
-0.5213972926139832,
0.09854930639266968,
0.9313063621520996,
-0.19900184869766235,
0.7449872493743896,
-0.5170751214027405,
-1.1129592657089233,
-0.16752035915851593,
-0.4928078353404999,
0.607168734073638... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Potrzebujemy mężczyzn i kobiet, którzy kochają Meksyk którzy chcą dołączyć do inicjatywy i zacząć działać.
| We need men and women who love Mexico and who are willing to take action. | 5 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.7226142287254333,
0.686165452003479,
0.12610746920108795,
-0.1879447102546692,
0.06560130417346954,
-0.10355895757675171,
1.0625851154327393,
-0.8738551139831543,
0.70470130443573,
-0.3520747423171997,
-0.28316813707351685,
0.12077032774686813,
-0.5106745958328247,
-0.13165836036205292,... |
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 properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | . | 0 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.49202579259872437,
0.10777734220027924,
-0.1820456087589264,
0.06804592907428741,
-0.1353113055229187,
-0.7404281497001648,
0.6054638624191284,
0.5616945028305054,
-0.37751340866088867,
-0.1482044905424118,
-0.7083686590194702,
0.037574343383312225,
-0.7042607069015503,
0.390796333551406... |
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, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Cat... | Favor | 0 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.03755919635295868,
0.7552752494812012,
0.3808209002017975,
0.47070521116256714,
-0.4440503716468811,
-0.8780727386474609,
0.5864468812942505,
0.5236284732818604,
0.12686622142791748,
0.17500224709510803,
-0.23994258046150208,
-0.1577521562576294,
0.10094540566205978,
-0.04307832568883896... |
Q: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: if the radius of a circle is increased by 60 % then the area is increased by :
Options: a ) 44 % , b ) 120 % , c ) 156 % , d ) 40 % , e ) none of the above
A: | c | 7 | NIv2 | task1423_mathqa_geometry | zs_opt | [
-0.31168147921562195,
0.9845075607299805,
0.4884788691997528,
-0.687995433807373,
-0.4264880418777466,
-0.7051937580108643,
0.2676459848880768,
0.9102728366851807,
0.4849475920200348,
-0.026895806193351746,
-0.22716206312179565,
0.19472885131835938,
-0.8946198225021362,
-0.2167444527149200... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 0 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
-0.12145493924617767,
0.5328799486160278,
0.09955598413944244,
-0.12445186078548431,
-0.022399218752980232,
-0.14405286312103271,
-0.028259774670004845,
1.5241494178771973,
-0.19712218642234802,
0.394925057888031,
-0.5788678526878357,
-0.009996404871344566,
-0.03198668360710144,
-0.1369822... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Output: The center of town.
| 2 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.10195012390613556,
0.8435274958610535,
-0.019310496747493744,
-0.3522278368473053,
0.11387768387794495,
0.044929854571819305,
-0.07153388857841492,
0.8946235179901123,
0.2549404501914978,
-0.2020660936832428,
-1.2612265348434448,
-0.4163053631782532,
-0.2377006709575653,
-0.045270480215... |
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 integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a singl... | 174 | 1 | NIv2 | task1446_farthest_integers | zs_opt | [
0.11381077021360397,
0.2198639214038849,
0.07616031169891357,
0.033568717539310455,
0.15654155611991882,
0.21769481897354126,
0.6078792810440063,
0.4218090772628784,
0.5035600662231445,
-0.03533436357975006,
-0.3006848692893982,
-0.29873916506767273,
-0.2570449113845825,
-0.168062269687652... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: His lameness was more than usually apparent,
A: لنگیاش بیشتر از همیشه هویدا بود،
****
Q: It's like his writing,' faltered Meg, comparing it with the note in her hand.
A: مگ در حالیکه حالا کمی دچار تردید شده بود و ی... | در حقیقت مجبورم که این فکر را از سرم بیرون کنم چون این دفعه، همین چند دقیقه قبل، پیشنهادم را تکرار کردم و گفتم با سمت دستیار کشیش با او خواهم رفت.
****
| 4 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-1.1198227405548096,
0.6348229050636292,
0.16307435929775238,
-0.49714338779449463,
-0.18430516123771667,
-0.527197003364563,
0.3784624934196472,
0.3210718035697937,
0.4550211727619171,
-0.4524135887622833,
-0.20206744968891144,
0.010828864760696888,
0.06934038549661636,
0.6821647882461548... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Problem:(Risate) Ciò che questi dati rappresentano per la nostra famiglia ad un livello personale, ha già avuto un impatto immenso, e stiamo ancora imparandone il valore.
Solution: | (Risas) E o que estes datos representan para a nosa familia a nivel persoal, o impacto xa foi enorme, e aínda estamos a apreciar o seu valor. | 8 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.21075080335140228,
1.4142498970031738,
-0.1166459172964096,
-0.5007234811782837,
-0.46299728751182556,
-1.3958351612091064,
1.221531629562378,
1.0457813739776611,
-0.06563600152730942,
-0.0655602216720581,
-0.551398754119873,
0.3043277859687805,
-0.9675378799438477,
0.10801839828491211,... |
In this task, you are given books product reviews in French 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.
One example: Du tres grand Ludlum . Tres grand amateur de Robert Ludlum, les veilleurs de l... | NEG | 6 | NIv2 | task482_cls_french_books_classification | fs_opt | [
-0.26109209656715393,
-0.10535871982574463,
-0.37179887294769287,
-0.6282838582992554,
0.3033205270767212,
-0.05465133115649223,
0.3860964775085449,
0.1793864369392395,
0.15600310266017914,
0.28263676166534424,
-1.1759061813354492,
0.09235446155071259,
0.028021041303873062,
-0.607807338237... |
Definition: In this task, given a sentence in the English language, your task is to convert it into English Tokens.
Input: TVNZ say that they are now happy to talk to the police.
Output: | TVNZ say that they are now happy to talk to the police . | 2 | NIv2 | task560_alt_translation_en_entk | zs_opt | [
0.8355715274810791,
0.4340415298938751,
0.4308394193649292,
-0.35504791140556335,
0.47929617762565613,
0.03993644565343857,
0.4460541009902954,
0.00023548444733023643,
0.35792112350463867,
0.08027513325214386,
-0.2806522846221924,
0.5224980115890503,
-0.5348941683769226,
-0.005914791021496... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
首相選出後は3つの段階を踏む。 | ຫລັງຈາກການເລືອກຕັ້ງລັດຖະມົນຕີ ຈະມີສາມຂັ້ນຕອນເກີດຂຶ້ນ. | 0 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.2526909410953522,
0.02922607772052288,
-0.4785028398036957,
-0.17020447552204132,
-0.24499104917049408,
0.09906471520662308,
0.6603618860244751,
0.20095212757587433,
-1.195717692375183,
-0.09625953435897827,
0.11171142011880875,
0.22009648382663727,
-0.4227038323879242,
0.551126956939697... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or t... | worried | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.267496794462204,
-0.0664941594004631,
-0.14287029206752777,
-0.4015231728553772,
0.26005858182907104,
-0.12645573914051056,
1.120162844657898,
0.6779245138168335,
-0.1329016089439392,
-0.41426751017570496,
0.03224220871925354,
0.22852200269699097,
-0.5970405340194702,
0.00875451043248176... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertb... | Solution: John van den Brom has been manager of AZ Alkmaar, he is in Vitesse Arnhem and plays for AFC Ajax. | 5 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.5060582160949707,
0.8058128356933594,
-0.5717647075653076,
-0.7363392114639282,
-0.5457801818847656,
0.15026018023490906,
0.623862624168396,
-0.19200633466243744,
-0.00538996048271656,
0.0024210382252931595,
-0.5877854824066162,
0.9210743308067322,
-0.4576368033885956,
0.027700062841176... |
Definition: In this task, given a sentence in the Filipino language, your task is to convert it into the English language.
Input: Nagpapasalamat ako na ang Republicans at Democrats sa Kongreso ay nagkasundo na magbigay ng kailangang mga pondo na hindi tinatalian ang mga kamay ng aming mga pinuno, at walang artipisyal n... | I appreciate that Republicans and Democrats in Congress agreed to provide these vital funds without tying the hands of our commanders, and without an artificial timetable of withdrawal from Iraq. | 2 | NIv2 | task545_alt_translation_fi_en | zs_opt | [
-0.6889985799789429,
-0.10297541320323944,
0.1594642996788025,
-0.1656830608844757,
-0.29020607471466064,
-1.1413007974624634,
0.36274075508117676,
-0.11930067092180252,
0.7325629591941833,
-0.09981323778629303,
-0.02107325941324234,
0.15598995983600616,
-0.10350239276885986,
0.06915622949... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
--------
Question: これが新しいビジョンです
Answer: זהו החזון שיש לנו, האין זאת?
Question: また水棲の野生渡り鳥の移動パターンによっても運ばれてきます
Answer: הנגיף גם נישא במסלולי נדידה של עופות מים נודדים.
Question: バーチャルアースは全世界の包括的デジタル表現作成の第一歩なのです
Answer... | אז כדור הארץ הוירטואלי אתם יודעים, עומד להתחיל, ליצור את היצוג הדיגיטלי הראשון, המקיף, של העולם כולו.
| 7 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.4674193561077118,
-0.3127504587173462,
0.03363605588674545,
-0.25790935754776,
-0.4213768243789673,
0.024522338062524796,
0.08681172132492065,
0.296173095703125,
0.2645634710788727,
-0.0038308610673993826,
-0.2936248183250427,
-0.03784280642867088,
-0.3133864998817444,
0.238317891955375... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label... | No | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.488007128238678,
-0.3621649444103241,
-0.5348904728889465,
0.7396211624145508,
0.015721678733825684,
-0.6989854574203491,
0.47549551725387573,
0.21764828264713287,
-0.518543004989624,
-0.35420286655426025,
-0.040514882653951645,
1.0492576360702515,
-0.3443489372730255,
0.532567262649536... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 「彼が私を測っているときに、クーデターのせいで景気が悪くなったかと尋ねました」
A: "នៅពេលគាត់បានវាស់ខ្លួនខ្ញុំ ខ្ញុំបានសួរអំពីមុខរបរគាត់ មានបានធ្លាក់ចុះដោយសាររដ្ឋប្រហារនេះទេ។"
****
... | ជាមួយនឹងដំណាក់កាលជំរើសជើងឯកបានទៅដល់វេសូលី ចន ម៉ូហ្វីបានឈ្នះកំពូលជើងឯកនៅក្នុងឈុតនេះបន្ទាប់ពីប្រកួត8ដំណាក់កាល។
****
| 4 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.36769819259643555,
0.33071476221084595,
0.19929812848567963,
-0.6442769765853882,
0.28198274970054626,
-0.6970590353012085,
0.12390495091676712,
0.31004130840301514,
-0.19176314771175385,
-0.3129149079322815,
-1.4735736846923828,
0.6138479709625244,
-1.0848678350448608,
-0.0117060672491... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Example input: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśl... | והבנתי, שכשעזבתי את ארצי, בחירות חופשיות והוגנות בסביבה דמוקרטית היו חלום. | 3 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.6212749481201172,
0.4266061782836914,
-0.2729503810405731,
-0.1409980058670044,
-0.25996845960617065,
-1.3946417570114136,
1.3877100944519043,
0.3966433107852936,
0.5028119683265686,
-0.23896053433418274,
-0.9471028447151184,
0.7149440050125122,
-1.167034387588501,
0.011418458074331284,... |
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 individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT
| 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.5330688953399658,
0.5564277172088623,
-0.502551794052124,
0.2358669936656952,
0.24370455741882324,
-0.18601973354816437,
0.25008875131607056,
0.5204406976699829,
-0.1601647138595581,
-0.02770320139825344,
-0.8228405714035034,
-0.13515189290046692,
-0.5316630601882935,
-0.3614836931228637... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
--------
Question: Statement: no no it's funny uh i got out and got ... | 3
| 7 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.31103450059890747,
-0.27243655920028687,
-0.9115822911262512,
0.17186608910560608,
0.10234233736991882,
-1.076878309249878,
0.32668089866638184,
0.5458892583847046,
-0.20005439221858978,
-0.32954084873199463,
-0.3203123211860657,
0.2785158157348633,
-0.6965717673301697,
0.049091383814811... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 0
| 6 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.754084587097168,
1.1164891719818115,
-0.04080400615930557,
-0.7701185345649719,
-0.10714322328567505,
-0.5332822799682617,
1.3329341411590576,
-0.11624513566493988,
0.29294848442077637,
-0.8366023898124695,
0.17293012142181396,
-0.04247715696692467,
-0.8555103540420532,
-0.46387642621994... |
Definition: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text... | PEOPLE | 2 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.037800200283527374,
0.5181297063827515,
-0.8664608001708984,
0.10271654278039932,
-0.6695135831832886,
-0.27596884965896606,
1.323225975036621,
0.6176525950431824,
0.2989799678325653,
-0.019832924008369446,
-0.6503393054008484,
0.5309783220291138,
-0.3254692554473877,
0.0154001936316490... |
Teacher:In this task, you need to count the number of words in a sentence that contain the given letter
Teacher: Now, understand the problem? Solve this instance: Sentence: 'this bag is full of various different things'. How many words contain the letter 'u' in the sentence.
Student: | 2 | 6 | NIv2 | task161_count_words_containing_letter | zs_opt | [
0.1594693958759308,
0.5486354231834412,
-0.677558958530426,
-0.4963916838169098,
-0.12241160869598389,
-0.32959169149398804,
-0.15302732586860657,
0.8512642979621887,
0.3736723065376282,
-0.5342962741851807,
-0.09727653861045837,
-0.2700471580028534,
-0.3329164981842041,
-0.421294033527374... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This item is not what you think it is. This video is only about the war, not on what horrors were done to the people in the camps.... | Negative | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
0.10082795470952988,
-0.3110453486442566,
-0.08375813066959381,
0.10846689343452454,
0.007848723791539669,
-0.16607806086540222,
0.7778542041778564,
1.1257801055908203,
-0.18584759533405304,
0.7027642726898193,
0.11796697974205017,
-0.5527591705322266,
-0.17041760683059692,
-0.514199495315... |
Detailed Instructions: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3,... | (8, 9) | 9 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.4168640673160553,
0.6348952054977417,
-0.01593770831823349,
-0.7206687927246094,
-0.304509699344635,
-0.8814280033111572,
0.26787859201431274,
0.21680384874343872,
0.1127169206738472,
-0.2488234043121338,
0.005867579486221075,
-0.12162715941667557,
-0.4967329502105713,
0.230461180210113... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Example: [7, 9, 2, 8]
E... | Solution: [15, 40, 28, 196, 75, 63, 66] | 5 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.14020755887031555,
0.591387152671814,
-0.3349795937538147,
-0.42324721813201904,
-0.012579931877553463,
-0.4663037061691284,
1.3569471836090088,
0.2856985032558441,
-0.2731079161167145,
0.25890421867370605,
-0.8104479908943176,
-0.17290544509887695,
-0.783342719078064,
-0.31917157769203... |
Given the task definition and input, reply with output. In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two in... | C | 5 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.876532793045044,
0.8990671038627625,
0.043695658445358276,
0.03484858572483063,
-0.16189336776733398,
0.37807437777519226,
0.02393714152276516,
0.8378626108169556,
0.1685442328453064,
0.34698793292045593,
-0.4526842534542084,
0.5182671546936035,
-0.13107135891914368,
0.00846800208091735... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
One example: أمي - سأعود بالحال -
Solution is here: Mommy will be right back.
Explanation: This is a good example. The above sentence is correctly translated from Arabic to English.
Now, solve this: عندما كنت في فريق الريا... | When I was a sportswoman on the East German Olympic track-and-field team they dispensed anabolic steroids as freely as here in America they dole out Gatorade. | 6 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.18824566900730133,
0.2828473150730133,
-0.47095024585723877,
-0.8577358722686768,
-0.6885472536087036,
0.18531326949596405,
0.928493857383728,
0.6707019805908203,
0.49561330676078796,
-0.45139044523239136,
-1.0531642436981201,
0.9466013312339783,
-0.6330968737602234,
0.31951430439949036,... |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
PROBLEM: وفي محطة الوقوف الثامنة ، دخلت فتاة حاملة كيس قماش ضخم وأعلنت أن لديها سراويل للبيع بدولار — مثلما يمكنك بيع بطاريات أو حلويات في القطار.
SOLUTION: En la octava parada entra una niña con una bolsa g... | Para esto se nos ocurrió un paradigma muy simple en colaboración con el grupo Fiorella, en el que en un lado de esta pequeña caja si el animal va allí, recibe un pulso de luz para hacer foto-sensibles a distintas células del cerebro.
| 8 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
0.26087531447410583,
-0.46195125579833984,
-0.24543562531471252,
-0.6905429363250732,
-0.5906475186347961,
0.5912800431251526,
0.9100377559661865,
0.5866235494613647,
-0.09936922788619995,
-0.1454530507326126,
-0.5856707096099854,
-0.16816863417625427,
-0.4983302354812622,
0.07264202833175... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
Example Input: where is the country of panama located?
Example Output: Central America
Example Input: what team did john madden play football for?
Example Output: Philadelphia Eagles
Example Input: what contribution d... | Micrographia
| 3 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
1.130418062210083,
0.18104320764541626,
-0.9138630032539368,
-0.27489781379699707,
-0.08589304238557816,
-0.1572466939687729,
0.6029202938079834,
0.2656552791595459,
0.10925791412591934,
-0.027046898379921913,
-0.6066055297851562,
0.487030565738678,
-0.5085791349411011,
-0.7930117249488831... |
Teacher: 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... | holding the contract was not authorized by law | 2 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.7111445665359497,
0.025764644145965576,
-0.3769609332084656,
-0.3239038586616516,
0.5224173665046692,
-1.219996452331543,
0.17749665677547455,
1.1324608325958252,
-0.46285679936408997,
0.07108472287654877,
-0.15272840857505798,
0.26577794551849365,
-0.628229558467865,
-0.1339852064847946... |
Teacher:In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Teacher: Now, understand the problem? Solve this instance: چگونه می توانم بر ترس در صحبت برای عموم غلبه... | paraphrase | 6 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.8407617807388306,
0.44826018810272217,
0.3353596329689026,
-0.23149268329143524,
-0.6206340789794922,
0.16205017268657684,
1.3839483261108398,
0.9047591090202332,
0.4991995394229889,
-0.26185160875320435,
-0.8541803956031799,
0.04475482553243637,
-0.5841958522796631,
-0.4879759550094604... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options th... | ac | 1 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.5979458093643188,
0.6834942698478699,
-0.0489981584250927,
0.3821432590484619,
0.09714942425489426,
-0.014508308842778206,
0.5392564535140991,
0.779283881187439,
-0.33436352014541626,
0.5258920192718506,
-0.18661385774612427,
-0.2529368996620178,
0.02445649541914463,
-0.4872673451900482... |
Teacher:This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a ... | Seven (2007) | 6 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.9273059368133545,
0.6454747915267944,
-0.5035400390625,
-0.47582393884658813,
-0.2057543396949768,
-0.3684341311454773,
0.21165017783641815,
0.8343913555145264,
0.630358099937439,
-0.1941225230693817,
-0.5742661356925964,
0.1367686539888382,
-0.5656325817108154,
0.06416481733322144,
-... |
instruction:
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
question:
Question: The fear or belief of suffering an important disease, which arises ... | chemistry
| 9 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.36696258187294006,
0.010295082814991474,
-0.17991960048675537,
-0.03157269209623337,
0.1386258602142334,
-0.9114974737167358,
0.5360028147697449,
0.4414196014404297,
0.3828818202018738,
-0.2521045506000519,
-1.124053716659546,
-0.16576224565505981,
0.2962791919708252,
-0.1514308154582977... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
--------
Question: Quindi usano la luce per trovare cibo, per attirare dei partner.
Answer: Tak więc, zwierzęta potrafią używać bioluminescencji do poszukiwania pokarmu, zwabiania partnera.
Question: Si possono anche fond... | Była to słabo oświetlona chałupa.
| 7 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.0912679433822632,
1.1488676071166992,
-0.4370242953300476,
0.29730546474456787,
-0.6440039277076721,
-0.23752832412719727,
1.0974938869476318,
0.12542879581451416,
-0.37804996967315674,
-0.7277926206588745,
-0.6889100074768066,
0.5105063915252686,
-0.3530811071395874,
0.5890992283821106... |
You will be given a definition of a task first, then some input of the task.
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that hav... | Not Funny | 1 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.13195127248764038,
0.6195685863494873,
-0.06945320963859558,
-0.46104931831359863,
-0.37435832619667053,
-0.063144251704216,
0.7795445322990417,
0.5625672340393066,
-0.25495633482933044,
-0.230943500995636,
-0.5394803285598755,
-0.46908026933670044,
-0.6585506200790405,
0.147943139076232... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Category: construction
Words: ... | swift | 2 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.26176783442497253,
0.41860514879226685,
0.1356930434703827,
-0.30613791942596436,
0.1646607220172882,
-0.09245939552783966,
0.06973833590745926,
0.663093626499176,
0.05557607486844063,
-0.20574906468391418,
-0.8098609447479248,
0.2976456582546234,
-0.631920337677002,
-0.2363120466470718... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if... | Don't Care | 6 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.7307472229003906,
0.23359845578670502,
-0.31816840171813965,
-0.2355334758758545,
0.4350115656852722,
-0.7319931983947754,
0.12110958993434906,
0.7242231965065002,
-0.28798896074295044,
0.2886202335357666,
0.6167001724243164,
-0.09001282602548599,
-0.30930984020233154,
-0.009364882484078... |
In this task, you are given music product reviews in English 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.
Let me give you an example: The Bee Gees-Their Greatest Hits . Fabulous-This is a must ha... | POS | 8 | NIv2 | task478_cls_english_music_classification | fs_opt | [
-0.10844910889863968,
0.6348878145217896,
-0.7396780252456665,
0.4198451638221741,
0.32868221402168274,
-1.5182335376739502,
1.0640995502471924,
0.31430932879447937,
-0.4771748185157776,
0.7534591555595398,
-0.8462607860565186,
-0.21801038086414337,
-0.21361497044563293,
-0.529476106166839... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words o... | shoes | 3 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
1.1278373003005981,
0.6366645097732544,
-0.7704694271087646,
0.647992730140686,
-0.4678294062614441,
-0.12043412774801254,
0.8984649181365967,
0.8469640016555786,
-0.026233484968543053,
-0.5452308058738708,
-0.4375499486923218,
-0.10304306447505951,
-0.22512078285217285,
0.1613903343677520... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Example Input: Pero non é así con Márquez que nunha ocasión louvou as versións dos seus tradutores coma mellores que o orixinal, o cal foi unha louvanza incrible.
Example Output: Mas não com Márquez que uma vez elogiou... | Então ali atrás podem ver o meu reator de fusão nuclear.
| 3 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.7056897878646851,
1.1270244121551514,
-0.007713974453508854,
-0.7111690044403076,
0.0325532928109169,
-1.0408843755722046,
0.6697720885276794,
0.6616578102111816,
-0.14431244134902954,
-0.1322191208600998,
-0.7078496217727661,
-0.11354131996631622,
-0.26564377546310425,
0.11437882483005... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad | 4 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.2753261923789978,
0.5568339228630066,
0.1486247181892395,
-0.38341957330703735,
-0.31995320320129395,
-0.8538550138473511,
0.8007082343101501,
0.5932345390319824,
-0.12138041853904724,
0.06456772983074188,
-0.7026703357696533,
0.32735008001327515,
-0.6315084099769592,
0.0218501091003417... |
Given the task definition, example input & output, solve the new input case.
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 ordinare da mangiare in un ristorante. | 1 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.5807579159736633,
0.4376317858695984,
-0.19230061769485474,
0.3627617657184601,
-0.08920133113861084,
0.13271558284759521,
0.2953104078769684,
0.8725696206092834,
0.07796020060777664,
-0.584284245967865,
-0.6386064887046814,
0.13994011282920837,
0.22463223338127136,
0.16549372673034668,... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: But I really like that, so I wrote a book called "" The Laws of Simplicity. "" I was in Milan last week, for the Italian launch.
A: Ma a me piace per davvero; quindi ho scritto un libro dal titolo "" Le Leggi della Sem... | E quindi il mio principio è stato quello di presentare le forme con differenti colorazioni, perché alcune colorazioni enfatizzano questa, o l'altra cosa.
****
| 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.2056610882282257,
-0.05390185862779617,
0.0770266205072403,
0.08763672411441803,
0.37076449394226074,
-1.1098461151123047,
0.574017345905304,
1.160126805305481,
-0.08443539589643478,
0.18222180008888245,
-0.8648459315299988,
0.5752344131469727,
-0.7834875583648682,
-0.17058418691158295,... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: ആശാ പ്രവര്ത്തകര്ക്ക് കേന്ദ്ര ഗവണ്മെന്റ് നല്കിവരുന്ന പതിവ് പ്രോത്സാഹന തുക ഇരട്ടിയാക്കുന്നതായാണ് പ്രധാനമന്ത്രി പ്രഖ്യാപിച്ച... | ஆஷா பணியாளர்களுக்கு மத்திய அரசு வழக்கமாக வழங்கும் ஊக்குவிப்புகள் இரண்டு மடங்காக உயர்த்தப்படுவதாக பிரதமர் அறிவித்தார். | 9 | NIv2 | task999_pib_translation_malayalam_tamil | zs_opt | [
-0.25238487124443054,
0.28189152479171753,
0.5737420916557312,
-0.09035150706768036,
-0.1175130307674408,
-0.5772953033447266,
-0.06626095622777939,
0.7657723426818848,
-0.4459978938102722,
0.0854591354727745,
-0.648817241191864,
0.2089977264404297,
-0.47873425483703613,
0.1931657195091247... |
Teacher: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: મ... | ભારત | 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.6072189807891846,
0.7549543976783752,
0.2083764225244522,
-0.28949958086013794,
-0.3384152054786682,
-0.03774108365178108,
0.18539825081825256,
1.118866205215454,
-0.2702333331108093,
-0.051497116684913635,
-0.21909283101558685,
0.26859039068222046,
-0.43773090839385986,
-0.2111847698688... |
Definition: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Input: Sentence1: It's impossible to make money online. Sentence2: But Charles is always looking for a way to make money online. Sentence3: He found a serv... | Charles | 2 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.12351712584495544,
0.29880115389823914,
0.003890891559422016,
-0.48501092195510864,
0.1311727911233902,
0.09906721860170364,
0.6512924432754517,
0.8906019926071167,
0.350436270236969,
0.14079523086547852,
-0.41571444272994995,
-0.3322426676750183,
-0.2233935445547104,
-0.414669275283813... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | algebra | 0 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.2607066035270691,
0.4637026786804199,
0.13491976261138916,
-0.21705035865306854,
-0.10532505065202713,
0.11182557046413422,
1.0565638542175293,
0.4650438129901886,
0.455872118473053,
-0.7322391867637634,
-0.9182673692703247,
0.4438505172729492,
-0.4379822015762329,
-0.14007605612277985,
... |
Teacher: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Teacher: Now, understand the problem? If you are ... | jealous of personx | 2 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.021371586248278618,
-0.3038928508758545,
0.46644747257232666,
-0.42464253306388855,
-0.18701031804084778,
-0.8702450394630432,
0.9214011430740356,
0.6009528636932373,
0.18107065558433533,
-0.3706149458885193,
0.5930160284042358,
0.08644427359104156,
-0.5991032719612122,
-0.20120117068290... |
instruction:
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 individual steps that serve as the building blocks f... | I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WA... | 9 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.12999992072582245,
0.6854341626167297,
-0.34327036142349243,
-0.024597160518169403,
0.21731989085674286,
-0.2606429159641266,
0.44895046949386597,
0.367671400308609,
-0.2854157090187073,
-0.06508021056652069,
-0.754813551902771,
0.02279484272003174,
-0.4283917546272278,
-0.11488731205463... |
Definition: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Input: this app is stupid what is this app
Output: | angry | 2 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.9970252513885498,
0.40835344791412354,
0.6496193408966064,
-1.2319135665893555,
0.020821843296289444,
-0.2994655668735504,
0.5613587498664856,
0.41166001558303833,
0.5879205465316772,
0.14852097630500793,
-0.9471981525421143,
-0.32676729559898376,
-0.23929409682750702,
-0.09086754918098... |
You will be given a definition of a task first, then some input of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | clouds. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.6079262495040894,
1.2614384889602661,
-0.17771944403648376,
-0.31769266724586487,
-0.03559308871626854,
-1.4625682830810547,
0.3748217821121216,
0.33172106742858887,
-0.21674981713294983,
0.09705499559640884,
-0.22163617610931396,
0.03397058695554733,
-0.4338735342025757,
0.0804295763373... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Q: Texas ranks third in teen pregnancies.... | campaign-finance
****
| 4 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.018122978508472443,
0.5888723731040955,
-0.009117845445871353,
-0.2621675133705139,
-0.29020601511001587,
-0.40541669726371765,
0.855542778968811,
0.36286312341690063,
0.47360625863075256,
0.2844286561012268,
0.238518625497818,
0.5220657587051392,
-0.4383048713207245,
-0.1851311922073364... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
فعالان حقوق بشر باور دارند که دولت کانادا تلاش کافی برای رسیدگی به ناپدید شدنها انجام نداده است.
Output: | Human rights activists claim that the Canadian government has not done enough to investigate the disappearances. | 1 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.4421888291835785,
0.2736833691596985,
-0.1865227371454239,
-0.7539292573928833,
-0.5941547155380249,
0.12006451189517975,
1.1615421772003174,
0.3411595821380615,
-0.017034664750099182,
0.012620458379387856,
-0.022352073341608047,
-0.33875882625579834,
-0.5455545783042908,
0.190564572811... |
Definition: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Input: English sentence: 22 Therefore thus saith the Lord GOD; Behold, I am against Pharaoh king of Egypt, and will break his arms, the strong, and that which was broken; and I... | 22 Sidaas daraaddeed Sayidka Rabbiga ahu wuxuu leeyahay, Bal eeg, anigu col baan ku ahay Fircoon oo ah boqorka Masar, oo gacmihiisana waan jejebin doonaa, tan xoogga leh iyo tii jabtayba, oo weliba waxaan ka dhigi doonaa in seeftu gacantiisa ka dhacdo. | 2 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.228811115026474,
0.8262492418289185,
0.11107777059078217,
-1.1062023639678955,
-0.22154878079891205,
-1.237519383430481,
1.060009241104126,
0.6509019136428833,
0.07577898353338242,
-0.03260407596826553,
-0.7224410772323608,
1.0783965587615967,
-1.898301362991333,
-0.48385339975357056,
... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Input: Consider Input: Text: hi reddit, this did not happen today but i just felt like sharing my story.... | Output: i was trying to make the new girl feel welcome at work and ended up showing her a very erect version of my penis
| 2 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
-0.3425021171569824,
0.31497398018836975,
-0.043799079954624176,
-0.20642977952957153,
0.24166104197502136,
-0.10399415343999863,
0.04011642560362816,
1.2081691026687622,
0.16717615723609924,
-0.18500739336013794,
-0.13900437951087952,
-0.3351251184940338,
-0.34035927057266235,
0.289844423... |
Q: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
2, 4, ['1135'... | 7061, 5925, 6141 | 7 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.5524735450744629,
0.4116341471672058,
-0.3301585912704468,
-0.2881331145763397,
-0.01686118356883526,
-0.3126567602157593,
0.3872770071029663,
-0.2670634984970093,
-0.12332551181316376,
-0.009476078674197197,
-0.8321982622146606,
-0.03644376993179321,
0.14108942449092865,
-0.10328370332... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Q: Context: James Price Johnson (February 1, 1894 November 17, 1955) was an American pianist and ... | trombone | 4 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.43075883388519287,
0.2239084094762802,
-1.117512822151184,
0.7516734004020691,
0.5070247650146484,
-0.4681089520454407,
0.8154655694961548,
0.7665863633155823,
-0.40216636657714844,
0.6359372138977051,
-0.1917632669210434,
0.6043496131896973,
-0.42983171343803406,
-0.2038712501525879,
... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:ઓછી રોકડ ધરાવતા અર્થતંત્રને પ્રોત્સાહન માટે પ્રિઝમટીવ પ્રોફીટનો દર 8 ટકાથી ઘટાડીને 6 ટકા કરવામાં આવ્યો.
Solution: | ਘੱਟ ਨਕਦੀ ਵਾਲੀ ਅਰਥਵਿਵਸਥਾ ਨੂੰ ਉਤਸ਼ਾਹਿਤ ਕਰਨ ਲਈ ਅਨੁਮਾਨਿਤ ਲਾਭ ਦਰ 8% ਤੋਂ ਘਟਾ ਕੇ 6% ਕੀਤਾ ਗਿਆ | 8 | NIv2 | task1043_pib_translation_gujarati_punjabi | zs_opt | [
-0.39303910732269287,
0.8583097457885742,
0.47370249032974243,
-0.429366797208786,
-0.5042482614517212,
-1.006209135055542,
1.0286264419555664,
0.40124908089637756,
0.40073448419570923,
-0.3619176745414734,
-1.6011099815368652,
-0.46609556674957275,
-0.8315189480781555,
0.23400604724884033... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | personal
| 6 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.5777401328086853,
-0.45071202516555786,
0.12152258306741714,
0.353837788105011,
-0.3753122091293335,
0.1805947870016098,
-0.12864166498184204,
-0.07306960970163345,
-0.34519845247268677,
-0.11843465268611908,
-0.10149643570184708,
-0.1654263138771057,
0.10909311473369598,
-0.41955679655... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
[EX Q]: What else can you tell me?
5% of slaves that were imported to Sao Tome escaped between 1514 and 1527.
Can you tell me more ... | Yes, according to the 2015 calculations place Georgia's nominal GDP at 13.98 billion US dollars.
| 6 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.11656211316585541,
0.04810822382569313,
-0.1290290355682373,
-0.8722985982894897,
0.3734726011753082,
-0.9027183651924133,
0.48676633834838867,
1.0549848079681396,
-0.870956301689148,
-0.19529500603675842,
-0.4707769751548767,
-0.23972441256046295,
-0.449384480714798,
0.07397927343845367... |
TASK 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 even 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 even numbers in an i... | [56, -500, 0, -46800, -196, -18]
| 8 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.5355561375617981,
0.11570920050144196,
-0.9702998995780945,
-0.22708497941493988,
-0.06778471916913986,
-0.013183505274355412,
0.8160719871520996,
0.701730489730835,
-0.40632182359695435,
-0.2840965688228607,
-1.0205705165863037,
-0.044162649661302567,
-0.4247511625289917,
-0.41405990719... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE hand
| 6 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.47483670711517334,
0.37199467420578003,
-0.3362298607826233,
0.015778452157974243,
0.19496586918830872,
-0.7586426734924316,
1.0213162899017334,
0.8812687397003174,
-0.4312312602996826,
0.43228286504745483,
-0.06576371192932129,
0.308810830116272,
-0.36498555541038513,
0.0732642561197280... |
Given the task definition and input, reply with output. You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
My uncle told us all about the recent outrageous events.
| male | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-1.0604605674743652,
0.8703688383102417,
-0.28396493196487427,
-0.48816031217575073,
-0.4541051983833313,
-0.4001648724079132,
0.41417962312698364,
0.011523885652422905,
0.8817417025566101,
0.07751046121120453,
-0.9216839075088501,
-0.11879539489746094,
-0.3222235441207886,
0.0861163735389... |
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'.
Ex Input:
Title: Shoppi... | 25134
| 1 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.05729125812649727,
0.052096933126449585,
-0.3366810381412506,
0.008552736602723598,
0.22515833377838135,
0.2910960912704468,
-0.2973632216453552,
0.7878521680831909,
0.017594147473573685,
0.44968879222869873,
-0.54746013879776,
-0.035347044467926025,
-0.5781069397926331,
-0.2296140193939... |
Detailed Instructions: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
See one example below:
Problem: Coming from a xenophobic race that possesses the unique ability to pass among other... | Singular | 4 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.4533085823059082,
0.4897199273109436,
-0.12473386526107788,
-0.24894967675209045,
-0.6316240429878235,
-0.3734758496284485,
0.6897677183151245,
0.49425750970840454,
-0.09143009781837463,
-0.23473778367042542,
-0.49433189630508423,
-0.16096115112304688,
-0.6146236658096313,
-0.0532277934... |
Detailed Instructions: Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
... | True | 8 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.5959377288818359,
-0.16452625393867493,
0.34757035970687866,
-0.019211605191230774,
0.4312851130962372,
-0.8935281038284302,
0.996879518032074,
0.27829375863075256,
0.4531734585762024,
0.47480669617652893,
-0.5249429941177368,
-0.2777596712112427,
-0.22123666107654572,
-0.45316442847251... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Poważne problemy, duże problemy, naglące problemy.
| 深刻な問題大きな問題緊迫した問題 | 5 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.35977238416671753,
0.7434426546096802,
0.3215247392654419,
-0.28723981976509094,
-0.03232231363654137,
-0.01882675103843212,
0.6428421139717102,
-0.6499252915382385,
0.2824215590953827,
-0.7012512683868408,
-0.3572847843170166,
0.3877720236778259,
-0.5551478862762451,
0.1750055253505706... |
Given the task definition and input, reply with output. In this task, you are given a sentence in English, and your task is to translate it into Persian.
what are you talking about .
| درباره ي چي صحبت ميکني . | 5 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.6481074094772339,
1.157979965209961,
0.04805897921323776,
0.16732841730117798,
-0.329583078622818,
-0.21178673207759857,
-0.05304250121116638,
0.4123084545135498,
0.6952753067016602,
-0.08453571796417236,
-0.24943837523460388,
0.8065145015716553,
-0.13630542159080505,
0.1989915370941162... |
Teacher: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Teacher: Now, understand the problem? If you are still confused, see the following example:
CON... | Casi dos terceras partes de los brasileños no desean que se prohíba el comercio de armas en su país | 2 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.4013819098472595,
-0.3604358434677124,
-0.3234524726867676,
-0.0383850634098053,
0.5493175983428955,
-0.1817469447851181,
0.730565071105957,
1.4694468975067139,
-0.4120124280452728,
0.28123101592063904,
-0.3057076334953308,
0.8131011128425598,
-0.08497767150402069,
0.10204589366912842,
... |
Given the task definition, example input & output, solve the new input case.
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 (... | what is the name of pinks first album? | 1 | NIv2 | task184_break_generate_question | fs_opt | [
0.6783713102340698,
0.04952355846762657,
-0.7066567540168762,
0.5042542815208435,
0.41530120372772217,
-0.14913637936115265,
0.6346988677978516,
0.6253343820571899,
-0.5123047828674316,
0.5888816118240356,
-0.2509271502494812,
0.3052109479904175,
0.2917543351650238,
0.1965537965297699,
0... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Problem:Article: the german pork industry , europe 's largest , is turning its attention to china , not only... | no | 8 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.6331551671028137,
0.6024249792098999,
0.2761610150337219,
0.6789733171463013,
-0.21967102587223053,
0.3597700893878937,
0.1259807050228119,
0.4958314001560211,
-0.2956342101097107,
0.2439955770969391,
0.3141411244869232,
0.41788721084594727,
-0.853178858757019,
0.006889502052217722,
0... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Ovarian cancer is the most lethal of all gynecological cancers, and there is an urgent unmet need to develop ne... | Epigenetic therapy activates type I interferon signaling in murine ovarian cancer to reduce immunosuppression and tumor burden. | 6 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.10314592719078064,
0.1725434809923172,
-0.44399064779281616,
0.08372031897306442,
0.07055452466011047,
-0.7652720212936401,
0.41518735885620117,
0.7621409893035889,
1.0670759677886963,
0.4584076404571533,
-1.1374907493591309,
-0.1736098825931549,
-0.628535807132721,
0.08359166979789734,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Vai haber dous grupos internacionais que construirán telescopios xigantes, sensibles á radiación óptica, coma os nosos ollos.
Student: | وسيكون هناك مجموعتان دوليتان ستقومان ببناء مناظير ضخمة حساسة للإشعاع الضوئي كأعيننا. | 6 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.8878535628318787,
0.924545168876648,
0.6380284428596497,
-1.1890285015106201,
0.001303162076510489,
-0.36550915241241455,
0.2276601642370224,
0.06899033486843109,
-0.2018590122461319,
0.2394089251756668,
-0.3949395716190338,
-0.1850268393754959,
-0.34506839513778687,
-0.3475670218467712... |
Teacher:The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Teacher: Now, understand the problem? Solve this instance: Topic: We sh... | False | 6 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.061981990933418274,
0.5442628860473633,
0.601942241191864,
0.18241693079471588,
-0.28923118114471436,
-0.794180154800415,
-0.16861340403556824,
0.40727564692497253,
0.4088820219039917,
-0.1775784194469452,
-0.2630547881126404,
0.12972794473171234,
-0.6687530279159546,
-0.721318006515502... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Q: Comment: Many adults are naïve and stupid too...that's why Trumps has millions of supporters... | Insult | 4 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-1.0001660585403442,
0.6792322993278503,
0.7124377489089966,
0.20731209218502045,
-0.15305379033088684,
-0.060667190700769424,
0.6440354585647583,
0.5782262086868286,
0.1105782687664032,
0.46103113889694214,
0.08478143066167831,
-0.16363096237182617,
-0.4236055612564087,
-0.57766193151474,... |
Given the task definition and input, reply with output. In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Ti... | Paula's coffee obsession made her more stressed than before. | 5 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.7997069954872131,
1.5031261444091797,
0.48299315571784973,
-0.041584596037864685,
-0.364031046628952,
0.5292081832885742,
0.31799352169036865,
0.5407260656356812,
0.4966939091682434,
-0.6818652153015137,
-0.5529434680938721,
0.017754364758729935,
-0.1972295194864273,
0.23522315919399261... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
And Hell, that Day, is brought (face to face),- on that Day will man remember, but how will that remembrance profit him?
در آن روز دوزخ را بیاورند، در آن روز انسان متذکر شود و کجا این تذکر برای او سودمند اف... | این [آفریدههای شگفت و این تغییرات و تحولات] دلیل بر این است که خدا فقط حق است و آنچه به جای او میپرستند باطل است، و بی تردید خدا همان والا مرتبه و بزرگ است.
| 0 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.19169580936431885,
0.5533192157745361,
0.008203655481338501,
-0.2389216274023056,
-1.043105125427246,
-0.9418491721153259,
1.3776748180389404,
0.9076290726661682,
0.15117508172988892,
-0.18037578463554382,
-1.0589616298675537,
1.1369307041168213,
-0.7432032227516174,
0.513178825378418,
... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
(Risate) E infatti aveva già pubblicato tanti video sulla natura.
Solution: (Śmiech) Opublikował wiele filmów o przyrodzie.... | Teraz rozumiecie, dlaczego lwy polują w tak mrocznych warunkach. | 2 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.0653660297393799,
0.6839824914932251,
-0.18555504083633423,
-0.26387783885002136,
-0.601252019405365,
-0.3829566240310669,
-0.08101408183574677,
0.28075891733169556,
-0.505995512008667,
-0.4528713822364807,
-0.21955686807632446,
0.2254902720451355,
-0.8085131049156189,
0.037620075047016... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Terán seguro para pagar a receita?
Solution: 処方箋を支払う為の保険は ？
Why? The Galician sentence is correctl... | ここまでの話を考えてみてください | 0 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.39052021503448486,
0.5258134603500366,
0.48019111156463623,
-0.5424717664718628,
-0.12562549114227295,
-0.7385274171829224,
1.2656300067901611,
0.2511531114578247,
0.28860995173454285,
-0.6422200202941895,
-0.17103806138038635,
-0.018454305827617645,
-0.7847968339920044,
0.4810115098953... |
You will be given a definition of a task first, then some input of the task.
You are provided with an "Event", "Intent" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.
Event:PersonX sells PersonY's car. Intent: 1) to help person out by selling the car. 2) to complete... | relieved | 1 | NIv2 | task922_event2mind_word_generation | zs_opt | [
-0.10263286530971527,
0.06407560408115387,
-0.10292982310056686,
0.11639866232872009,
-0.5530589818954468,
-0.11912388354539871,
0.40134450793266296,
0.5371286869049072,
0.5910305380821228,
0.04817685857415199,
-0.01828419417142868,
-0.02578658051788807,
-0.45527341961860657,
0.04343530535... |
You will be given a definition of a task first, then some input of the task.
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
To investigate the effec... | 1 | 1 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.49775463342666626,
-0.24713179469108582,
-0.5347660779953003,
0.18926693499088287,
0.415695458650589,
-0.4757746756076813,
0.16960269212722778,
0.4270012378692627,
-0.46691370010375977,
0.40375372767448425,
-0.44321081042289734,
0.17676648497581482,
-0.6070928573608398,
-0.49232715368270... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: (Risate) Se possiamo abbassare le luci, e restare più al buio possibile, ho un recipiente in cui si trova del plankton bioluminescente.
Student: | (خنده) خب ، اگه ما بتوانیم نور را کم کنیم و اینجا را تا حد ممکن تاریک کنیم ، من یک فلاسک به همراه پلانکتونهای زیست تاب دارم. | 6 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.18208743631839752,
0.2681083381175995,
0.1367945820093155,
-0.03200719133019447,
-0.23818722367286682,
-0.858491837978363,
0.038888439536094666,
0.8671175241470337,
0.05745649337768555,
0.7756218910217285,
-0.4224507510662079,
0.28593140840530396,
-0.6439484357833862,
0.1439381837844848... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
--------
Question: how many team from Africa had the opportunity to qualify for the ICC World Twenty20 2012 global qualifier ?
Answer: 2
Question: For how many... | Burmese
| 7 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.6147511005401611,
0.2553873658180237,
-0.43719297647476196,
-0.2574138641357422,
-0.31939083337783813,
0.15742164850234985,
0.3457767963409424,
-0.7986084222793579,
-0.23539292812347412,
-0.36282798647880554,
-0.4736166000366211,
0.9141928553581238,
-1.2990686893463135,
-0.0785635709762... |
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 properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | CCONJ | 4 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.8961847424507141,
0.18961256742477417,
-0.01885610818862915,
0.17593516409397125,
0.023513000458478928,
-0.769321084022522,
0.8286095857620239,
0.6649504899978638,
-0.5289115905761719,
-0.25590404868125916,
-0.19918173551559448,
-0.014077230356633663,
-0.6073987483978271,
0.6024274826049... |
Teacher: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose t... | World | 2 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.5624968409538269,
0.6362664699554443,
-0.1613418310880661,
-0.11571981012821198,
-0.039493024349212646,
-0.6703832149505615,
-0.6427464485168457,
0.34316712617874146,
-0.9779245257377625,
-0.017604272812604904,
-0.4558236598968506,
0.6111670732498169,
0.20041590929031372,
-0.07158151268... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
question:
"" Hoxe non quero ir ao colexio.
answer:
"" Oggi non voglio andare a scuola.
question:
Amainada con amor, desde logo, a honestidade e unha gran cousa.
answer:
Mitigata dall'amore, certo, l'onestà ... | E inoltre c'è ovviamente una componente di violenza sessuale, per cui questo tipo di sorveglianza può essere usato più efficacemente contro le donne e contro persone che possono essere umiliate.
| 9 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.769411563873291,
1.0058717727661133,
0.0961272269487381,
-0.7566056847572327,
-0.7193479537963867,
-1.3204362392425537,
-0.057151876389980316,
0.42699337005615234,
-0.5181040167808533,
-0.5683292150497437,
-0.28535544872283936,
0.5312555432319641,
-0.33375078439712524,
0.077891625463962... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Let me give you an example: 7
The answer to this example can be: Yes
Here is why: 7 is a prime number as it has no fa... | Yes | 8 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.30947163701057434,
1.3284997940063477,
0.10486627370119095,
0.08596436679363251,
-0.12415215373039246,
-0.44862788915634155,
0.8419480919837952,
0.897588849067688,
0.4602050185203552,
-0.3069268763065338,
-0.44749459624290466,
0.07145814597606659,
-0.5956677198410034,
0.0560904368758201... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: Sitting in the play area of the doctor's office, my ch... | The writer went to the doctor's office because _ . | 0 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.10607445240020752,
0.12939172983169556,
-0.5433423519134521,
0.025196632370352745,
0.20557117462158203,
0.031035756692290306,
1.039080262184143,
0.9894875288009644,
-0.011184459552168846,
-0.13030105829238892,
-0.4236844480037689,
0.7441598176956177,
-0.49190953373908997,
0.1907036304473... |
In this task, you are given dvd 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.
Input: Consider Input: スレンダーセクシー . スレンダー系で室内より、お日様が似合う女の子。 胸は、そんなに大きくはない お尻も、余計な贅肉がないスッキ... | Output: NEG
| 2 | NIv2 | task486_cls_japanese_dvd_classification | fs_opt | [
-0.41755253076553345,
-0.2644747793674469,
-0.7258968353271484,
0.12511998414993286,
0.2887594699859619,
0.13678714632987976,
0.7204475402832031,
0.5903573036193848,
0.2743304967880249,
0.4151660203933716,
-0.08615312725305557,
-0.570647656917572,
-0.03577681630849838,
-0.5115845203399658,... |
Instructions: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Input: The Amsterdam Treaty and the Tampere Council built on this project for an area of freedom,... | El Tratado de Amsterdam y el Consejo de Tampere levantaron este proyecto para un ámbito de libertad, seguridad y justicia en la Unión Europea. | 3 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
0.624573290348053,
0.7445864081382751,
-0.22841306030750275,
-0.23753847181797028,
0.44132280349731445,
-0.9141457080841064,
0.5681130886077881,
0.6882063150405884,
0.416991263628006,
0.2881288528442383,
-0.06770361959934235,
0.14148327708244324,
-0.3737780451774597,
-0.5793245434761047,
... |
In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Q: 警方报告说，周六尼泊尔一座教堂发生炸弹爆炸，造成两人死亡，至少十几人受伤。
A: | Police reports state that a bomb blast in a church in Nepal on Saturday has killed two people and injured at least a dozen more. | 4 | NIv2 | task535_alt_translation_ch_en | zs_opt | [
0.36958006024360657,
0.5782991051673889,
-0.07820121943950653,
0.10835571587085724,
0.021823570132255554,
-0.9297019243240356,
-0.8174943327903748,
0.18756693601608276,
-0.135574072599411,
-0.0670076459646225,
0.6556757092475891,
0.5160138607025146,
-0.25481492280960083,
0.1573743522167205... |
You will be given a definition of a task first, then some input of the task.
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^... | A ako promotrite čovjeka zvanog Dennis, kada on odlučuje što će postati -- da li odvjetnik ili želi postati doktor ili učitelj? | 1 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.275163471698761,
0.6331840753555298,
-0.2641284465789795,
-0.2394208014011383,
0.002380151068791747,
-0.4179215431213379,
0.5142616033554077,
-0.05181974172592163,
0.20986592769622803,
-0.1783932000398636,
-0.4105139970779419,
0.1638764888048172,
-0.3116436004638672,
-0.0285565946251153... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
[EX Q]: That's why I say that. I say that, because, I repeat, nothing exist if it's not in the good reason, the reason of our beautiful dream, of this civilization.
[EX A]: Per questo lo dico, lo dico perché, ripeto, nulla... | perché le regole sono che, ogni volta che offrite da bere a qualcuno, gli date il drink e gli date anche le vostre noccioline di polistirolo.
| 6 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.3297121524810791,
0.2675190567970276,
0.1911962628364563,
-0.9353464841842651,
-0.5334499478340149,
-0.7840390205383301,
-0.46202635765075684,
0.7631155848503113,
-0.6895211935043335,
-0.3920866847038269,
0.2316036969423294,
0.4070652425289154,
-1.07712984085083,
0.1970134973526001,
1... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Did you read the news that ' China's property prices rose at the fastest pace in 18 months in December , endi... | 1
| 0 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
-0.03135064244270325,
0.25291603803634644,
-0.2614211142063141,
-0.010982470586895943,
0.3620423674583435,
-0.21414315700531006,
0.3372507691383362,
0.5726571083068848,
-0.012456996366381645,
-0.22504977881908417,
-0.5636789798736572,
0.2933041453361511,
-0.5464341640472412,
0.163882002234... |
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