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 are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting s... | REQUEST_ALTS
****
| 4 | NIv2 | task880_schema_guided_dstc8_classification | fs_opt | [
0.28581702709198,
0.4173281192779541,
0.4767570495605469,
0.46262824535369873,
0.24016951024532318,
-0.005172391422092915,
-0.15349166095256805,
0.7937670946121216,
0.26950401067733765,
0.023454468697309494,
-0.7533441781997681,
-0.31687217950820923,
-0.6682584285736084,
0.3534711003303528... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Let me give you an example: Context: Tracy didn't go home that evening... | No | 8 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.10354800522327423,
0.25396499037742615,
0.3264831304550171,
0.28609374165534973,
0.04893050342798233,
-0.4007403254508972,
0.20273977518081665,
0.5439850091934204,
0.2711624503135681,
0.6239281296730042,
0.06601330637931824,
0.22703108191490173,
-0.19852784276008606,
-0.472625732421875,
... |
Detailed Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid res... | Yes. | 8 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.31531286239624023,
0.17444121837615967,
0.21510061621665955,
0.291428804397583,
-0.414729505777359,
-1.1288237571716309,
0.7103255987167358,
0.7719290256500244,
-0.00034958869218826294,
-0.5766542553901672,
-0.45841941237449646,
0.803489089012146,
-0.34903714060783386,
0.075991332530975... |
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? Solve this instance: Statement: અમરપુર વરૂડી (તા. અમરેલી) <MASK> દે... | ભારત | 6 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.3217792510986328,
0.5803451538085938,
0.443708598613739,
-0.2455083429813385,
-0.5370547771453857,
-0.39189428091049194,
0.39120054244995117,
0.9836230278015137,
0.05140262469649315,
-0.16385851800441742,
-0.270315557718277,
0.4833102524280548,
-0.26744067668914795,
-0.31138309836387634,... |
Given the task definition and input, reply with output. In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
... | Swedish | 5 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.6099407076835632,
0.878511905670166,
0.9781607389450073,
-0.34346508979797363,
-0.06113728880882263,
-0.2695997953414917,
0.38138914108276367,
0.014231288805603981,
0.656451404094696,
-0.5968942046165466,
-0.10151343047618866,
0.6614763736724854,
0.03392500430345535,
-0.285573810338974,... |
You will be given a definition of a task first, then some input 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 Catalonia. If the tweet criticizes the independ... | Neutral | 1 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.5944561958312988,
0.6104476451873779,
0.2995510697364807,
0.4188310503959656,
-0.08971698582172394,
-0.6136288642883301,
0.26415908336639404,
0.502289891242981,
0.21949580311775208,
0.2676304578781128,
0.12627440690994263,
-0.39600300788879395,
0.1581040620803833,
-0.08415001630783081,
... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: . اي کاش من وقتمو تلف نمي کردم
A: | i wish i didn't have to waste ly time... | 9 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.11042974889278412,
0.6310885548591614,
-0.06387613713741302,
-0.37548351287841797,
-0.4280429482460022,
-0.2763492465019226,
0.7339470386505127,
0.35236987471580505,
0.1874399483203888,
-0.25800952315330505,
0.33112987875938416,
0.28898242115974426,
-0.8084511756896973,
0.17484475672245... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one ... | Of the missile designs mentioned, how many were cancelled? | 0 | NIv2 | task026_drop_question_generation | fs_opt | [
0.885338306427002,
0.5355908870697021,
0.2058849185705185,
-0.2667010426521301,
0.8477917313575745,
-0.5690526366233826,
0.9016447067260742,
0.8689098358154297,
0.28108030557632446,
0.16800402104854584,
-0.45820194482803345,
0.38726410269737244,
-0.8879696130752563,
0.28734245896339417,
... |
Given the task definition and input, reply with output. In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated que... | What 1987 movie has the song nights in white satin?
Nights in White Satin | 5 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.7824997305870056,
0.827566921710968,
-0.0234694667160511,
0.24032607674598694,
-0.4891892671585083,
0.29408949613571167,
0.3292616903781891,
0.4555850327014923,
-0.17879962921142578,
-0.3560992479324341,
-0.6444758176803589,
0.23368249833583832,
-0.43966904282569885,
0.16581128537654877... |
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".
These incoherent words threw the first glimpse of lig... | No | 5 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
-0.22112929821014404,
0.40678870677948,
-0.4045566916465759,
0.32909953594207764,
-0.4860050678253174,
-0.4882098138332367,
0.9692099690437317,
0.6076739430427551,
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0.16703179478645325,
-0.45125651359558105,
0.3662252426147461,
-0.9063754677772522,
-0.1953456699848175,
... |
Definition: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input: D... | zoo | 2 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.15446056425571442,
0.40018224716186523,
-0.3763752579689026,
-0.03079451248049736,
-0.19656580686569214,
-0.4546450674533844,
0.2530074715614319,
0.31666597723960876,
-0.08236788958311081,
-0.025245007127523422,
0.11760862916707993,
-0.18546044826507568,
-0.4683179259300232,
-0.17210377... |
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 the question.
Example input: Question: When did the oper... | At the horizon are lighter highlands at the southern margin of the mare, near the Apollo 11 landing site | 3 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.5957892537117004,
0.48866885900497437,
-0.7016355991363525,
-0.16975176334381104,
0.330645889043808,
-0.9295128583908081,
0.613910973072052,
0.9481173753738403,
0.09166529774665833,
0.1813821941614151,
-0.4389963746070862,
-0.07987996935844421,
-0.04916728287935257,
0.3123224377632141,
... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation retu... | -18848 | 9 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.22385835647583008,
0.5131292939186096,
-1.2954514026641846,
0.027554303407669067,
-0.49336305260658264,
-0.4975332021713257,
-0.13632556796073914,
1.6437499523162842,
0.8181935548782349,
0.01836763322353363,
-0.31852930784225464,
-0.43976104259490967,
0.5629830360412598,
0.0543648004531... |
Detailed Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Problem:PersonX buys every ___
Solution: | olive | 8 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.012200543656945229,
0.5714371800422668,
-0.254261314868927,
-0.3331039547920227,
-0.382233202457428,
0.019852858036756516,
0.9162108898162842,
0.4912351667881012,
0.05406405031681061,
-0.6440812349319458,
-0.4512001872062683,
-0.8379606008529663,
-0.6637054681777954,
-0.2706104516983032... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 11, 12.
| 7 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.4144119620323181,
0.5711894035339355,
-0.8327008485794067,
-0.058738283812999725,
0.46541827917099,
-0.13772061467170715,
0.32755959033966064,
0.5784298181533813,
-0.37692946195602417,
0.022009672597050667,
0.05041835084557533,
0.4218650460243225,
-0.5532160997390747,
0.3078267574310303,... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Teacher: Now, understand the problem? Solve this instance: 5 הגופים המקודשים, כפי שאתם רואים כאן,
Student: | The five sacred solids, as you can see there. | 6 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
0.14415666460990906,
-0.01220643613487482,
0.4942510426044464,
-0.06472442299127579,
-0.11697310209274292,
-0.7746797800064087,
0.026549365371465683,
0.3846268653869629,
0.9453654289245605,
-0.2718835473060608,
-0.07324287295341492,
-0.2828481197357178,
-1.1380189657211304,
-0.288362592458... |
You will be given a definition of a task first, then some input of the task.
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.
passage: The Oakland Raiders relocation to Las Vegas was a successful effort by the ow... | Yes | 1 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.6557579636573792,
0.014131713658571243,
-0.8050482273101807,
0.07825107127428055,
0.7422376871109009,
-0.1907878816127777,
0.7845342755317688,
0.5568221211433411,
0.242123544216156,
0.12389163672924042,
-0.03851930424571037,
1.0077919960021973,
-0.24844098091125488,
-0.1035304069519043,
... |
In this task, given a sentence in the Thai language, your task is to convert it into the English language.
Example: ฟินแลนด์จะจ่ายค่าทำความสะอาด ถึงแม้เอสโตเนีย จะไม่ได้ขอร้องความช่วยเหลืออย่างเป็นทางการ
Example solution: Finland will be paying the costs of the cleanup, as Estonia did not make an official request for h... | Solution: "The rescue will take place between three and eight days (after finishing the perforation), depending on the decisions that are taken about the encamisado (process of coating the tunnel with a metal pipe)," Golborne added. | 5 | NIv2 | task537_alt_translation_th_en | fs_opt | [
-0.4541659355163574,
0.2792539894580841,
0.4565035402774811,
-0.5895634889602661,
0.19907064735889435,
-0.9996641874313354,
0.6745615005493164,
0.9572464227676392,
-0.7187188863754272,
0.7970441579818726,
0.18220096826553345,
0.7534780502319336,
-0.041040949523448944,
0.19277434051036835,
... |
Definition: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Input: This is a great tool to use on long threaded bolts where you need to spin quic... | 4 | 2 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.2905195653438568,
-0.592105507850647,
-0.13077451288700104,
0.5773670673370361,
0.8571338653564453,
-0.12673360109329224,
0.543775200843811,
0.49030601978302,
-0.2531530559062958,
0.8519167900085449,
-0.585385262966156,
0.06707747280597687,
-0.2938191294670105,
-0.25607118010520935,
-... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Input: Consider Input: Sentence: 'a group of people standing around an airplane on top of a field'. How many words start with the letter 'a' in the sentence.
Output: 5
Input: Consid... | Output: 2
| 2 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.404681921005249,
0.7552674412727356,
-0.555029571056366,
-1.0449727773666382,
-0.17365366220474243,
-0.42102304100990295,
0.23226654529571533,
0.8033187985420227,
0.2907693386077881,
-0.8974255323410034,
-0.355406254529953,
-0.36099815368652344,
-0.4043484926223755,
-0.1588749885559082,
... |
Definition: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the... | False | 2 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.07380837947130203,
0.30330702662467957,
-0.2317841798067093,
-0.1365642249584198,
-0.3145648241043091,
0.06006714701652527,
1.328705072402954,
-0.1923132836818695,
0.24410325288772583,
-0.31207937002182007,
-0.78764808177948,
0.6989543437957764,
-0.09106040000915527,
0.4471038579940796,... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
[Q]: I trust too, that illegal practices involving the trading and use of these products will be reduced to a minimum.
[A]: Вярвам също така, че незаконните практики, включващи упо... | Считам, че е необходима научноизследователска дейност в областта на селското стопанство, за да се увеличи производителността на стопанствата.
| 5 | NIv2 | task272_europarl_translation | fs_opt | [
-0.8028953671455383,
0.4773063659667969,
0.15149655938148499,
-0.6654152870178223,
-0.4559822976589203,
-1.0492624044418335,
0.4687635600566864,
0.631142258644104,
0.19431406259536743,
0.06935445219278336,
-0.7799913287162781,
0.7799950838088989,
-0.16189220547676086,
-0.21916690468788147,... |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Q: ['t', 't', '4035', 'Q', 'r', 'p', 'r', '663', 't', 'N', '7439', '4549', 'f', '4423', '419', 'B', '... | 20, 20, 4035, 17, 18, 16, 18, 663, 20, 14, 7439, 4549, 6, 4423, 419, 2, 12, 14, 15, 5, 2331, 7, 4, 1555, 5349, 3889, 309, 11, 9541, 6065, 1497, 9627, 7841 | 4 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.3821873664855957,
0.24908839166164398,
0.5403512716293335,
-0.5862088203430176,
0.06201867386698723,
-0.4133375585079193,
0.17744925618171692,
-0.2955881953239441,
-0.011116771958768368,
-0.033821407705545425,
-0.03190067037940025,
-0.16198673844337463,
-0.23162320256233215,
-0.54279816... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
[EX Q]: This is a nice heavy duty pasta maker, but I don't have it completely figured out yet. I... | 4
| 6 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.11055368185043335,
-0.3356916904449463,
-0.6294699907302856,
0.339581161737442,
0.6934453248977661,
-0.47060900926589966,
0.7858147025108337,
1.4783594608306885,
-0.4889037013053894,
0.4578768014907837,
-0.15058210492134094,
0.20176947116851807,
-0.15514063835144043,
-0.2665625810623169,... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Let me give you an example: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't ... | Centenas de outras, de ONG 's, de sindicatos de trabalhadores florestais, e de negócios, ajudaram a criar o Conselho de Administração Florestal que cria regras para a exploração florestal e depois fiscaliza a exploração florestal no terreno. | 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.23604121804237366,
0.5718538761138916,
-0.07747920602560043,
-0.6441024541854858,
-0.5211468935012817,
-1.1302931308746338,
-0.2018592357635498,
0.47390973567962646,
0.45234009623527527,
-0.5264562368392944,
-0.3998588025569916,
0.2941588759422302,
-0.7197050452232361,
0.1196727380156517... |
You will be given a definition of a task first, then some input of the task.
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 a... | [1, 5, 6] | 1 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.6235556602478027,
0.08151239156723022,
-0.2820509374141693,
-0.24244347214698792,
0.3271634578704834,
0.25894075632095337,
0.7574201226234436,
0.16617494821548462,
-0.020410872995853424,
0.28918275237083435,
-0.767907440662384,
-0.6750050783157349,
-0.4089866280555725,
-0.062587611377239... |
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
--------
Question: રસ્તાના દરેક બાજુ પર ઘણાં બધાં બિલ્ડિંગ, મધ્યમાં ખૂબ જ શ્વેત માર્ગ સાથે.
Answer: A lot of building on each side of the road, with a very curvy road in the middle.
... | Entire front yard is filled with snow while people walk around.
| 7 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.7227582931518555,
0.6946275234222412,
0.2353578805923462,
-0.6894391775131226,
0.07022508233785629,
-0.8110395669937134,
0.32864731550216675,
0.521399974822998,
-0.17223235964775085,
-0.5078202486038208,
-0.37257158756256104,
-0.03805107623338699,
-0.40891268849372864,
-0.14845077693462... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Pero tamén aprendín que estaba demasiado san, e iso non era san.
Output: | しかし健康すぎるということは不健康だということを知りました | 1 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.381741464138031,
0.15249496698379517,
0.11645578593015671,
-0.6248475313186646,
0.05417260527610779,
-0.7806652188301086,
0.3331259787082672,
0.3364848792552948,
-0.10239730775356293,
-0.14919495582580566,
-0.14296135306358337,
-0.1834924966096878,
-0.7038064002990723,
0.442146569490432... |
Teacher:In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words rem... | I decided to dirty my ceiling fan. | 6 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.2327347695827484,
-0.10222511738538742,
0.025197187438607216,
-0.2930637001991272,
0.06901393830776215,
-0.49103742837905884,
-0.47932228446006775,
0.8278425335884094,
-0.3248331546783447,
-0.21262618899345398,
-0.3412366807460785,
0.1974976360797882,
-0.399008572101593,
-0.3476030230522... |
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.
Example Input: I have been researching the web to find some gyro strips and this is the most expensive so far, ... | Wonderful, smooth, rich taste
| 3 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.15706108510494232,
-0.43231070041656494,
-0.07599997520446777,
0.27518999576568604,
0.1689138114452362,
-0.06502281874418259,
0.39238283038139343,
0.8092525005340576,
-0.2648298740386963,
0.6316872239112854,
0.1042521744966507,
0.36129531264305115,
-0.8189171552658081,
-0.364385247230529... |
Detailed Instructions: 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 produ... | drugs can cure people when they are sick. | 9 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.08905518054962158,
0.8768627643585205,
-0.6634501218795776,
-0.35016292333602905,
-0.39545828104019165,
-1.2006797790527344,
0.07851096242666245,
0.9188987016677856,
-0.30889371037483215,
0.08699211478233337,
-1.0723093748092651,
0.8249466419219971,
-0.1837475299835205,
0.154688179492950... |
Definition: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: Emmy and Golden Globe Award-winners James Brolin and Judy Davis star as Ronald and Nancy Reagan in The Reagans ., Sentence2: James Brolin and Judy D... | Yes | 2 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.5780104398727417,
0.4385092258453369,
-0.14486688375473022,
-0.08701789379119873,
0.13585180044174194,
-0.21229977905750275,
0.8369914293289185,
0.49608302116394043,
0.45620444416999817,
-0.35661059617996216,
-0.6797456741333008,
-0.685003399848938,
0.10348933935165405,
-0.3567090630531... |
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 Japanese.
تبيع منجاتك بسعر عالي
Output: | より高く商品を売れます | 1 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.6145128011703491,
-0.12265736609697342,
-0.1590915471315384,
0.03654725104570389,
-0.5328828692436218,
0.9800868630409241,
0.8178961277008057,
0.05852222442626953,
0.3362991213798523,
-0.6873698234558105,
-0.4242998957633972,
-0.6094226837158203,
-0.7500706911087036,
0.549253523349762,
... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: The analysis of d... | 1 | 6 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.7806796431541443,
-0.08112496137619019,
0.4240565001964569,
-0.3683927655220032,
0.02851768769323826,
0.4218723773956299,
0.15434691309928894,
0.9142334461212158,
-0.08878378570079803,
0.22927628457546234,
-0.12272222340106964,
-0.013963734731078148,
-0.35970085859298706,
-0.68876069784... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
| 0 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.8630557656288147,
0.1666373908519745,
-0.6884999871253967,
0.09330382198095322,
0.36352893710136414,
0.13654319941997528,
0.8029491901397705,
0.5596784353256226,
-0.00862969271838665,
-0.21902412176132202,
-0.12174461781978607,
0.3533562421798706,
-0.5421364307403564,
0.01222088560461998... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 8 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.43485361337661743,
0.27352967858314514,
0.3237708806991577,
0.18776164948940277,
-0.23074769973754883,
-0.639682412147522,
0.6414638757705688,
0.5974166393280029,
-0.5702366828918457,
-0.08230767399072647,
-0.38696911931037903,
-0.38126492500305176,
-0.6379489898681641,
0.066173687577247... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
[Q]: It also showed which amino acid residues would contact an extended TATA box with a B recognition element , and evolutionary conservati... | monoamine oxidase
| 5 | NIv2 | task1481_gene_extraction_bc2gm_dataset | fs_opt | [
-0.014268157072365284,
0.014929477125406265,
-0.5931692123413086,
0.07774436473846436,
-0.4645434021949768,
-0.6504306793212891,
0.283270001411438,
0.8923187255859375,
0.5974287986755371,
-0.15845219790935516,
-0.23147040605545044,
0.09659679234027863,
-0.23062491416931152,
-0.265162587165... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
One example is below.
Q: A herd of sheep standing together grazing in a pasture.
A: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Rationale: The translated sentence also talks about... | બાથરૂમમાં સારી રીતે પ્રગટાવવામાં આવે છે અને સ્વચ્છ છે અને તેમાં લાલ અને કપાળના સ્નાન પડદા છે | 9 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.2976633310317993,
0.7278996706008911,
-0.13992349803447723,
-0.06340052932500839,
-0.1442936509847641,
-1.0780596733093262,
-0.4157871603965759,
0.28073650598526,
-0.31076034903526306,
-0.20122119784355164,
-0.42369788885116577,
0.11442328244447708,
-0.2810237407684326,
-0.3213688135147... |
Q: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
name[xname], cuisine[Italian], price[less than £20], location[city centre], familyFriendly[no], near[xnear]
A: | A low priced Italian restaurant located in the centre of the city near xnear, xname is not family-friendly. | 7 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.6315243244171143,
0.7555422186851501,
-0.9313123822212219,
0.05991031974554062,
-0.48165005445480347,
-0.3474940061569214,
0.6120597124099731,
0.6285210251808167,
0.1411879062652588,
-0.5612772107124329,
0.6057635545730591,
0.3447704017162323,
-0.5768700838088989,
-0.03227271884679794,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Donald | 4 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.10401009023189545,
0.38082078099250793,
0.6010178923606873,
0.4422113001346588,
0.2013092041015625,
-0.5037262439727783,
-0.2337571382522583,
0.7790884971618652,
-0.40091150999069214,
-0.0015897343400865793,
-0.3190425634384155,
0.5623275637626648,
-0.7948970198631287,
-0.553978204727172... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
[Q]: Dr. Barss came to the ceremony and explained that as a young doctor, he wanted to see the world.
[A]: O Dr. Barss veu á cerimonia e explicou que como médico novo, quería ver mundo.
[Q]: (Laughter) So how come [this... | Suecia ten gran diferenza nos ingresos, e reduce esa fenda a través de impostos, asistencia social xeral, grandes beneficios sociais e demais.
| 5 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
0.0686589926481247,
1.0417530536651611,
-0.333371639251709,
-0.7742552161216736,
-0.3681371808052063,
-1.903015375137329,
0.41104069352149963,
-0.10387001931667328,
0.6817355155944824,
0.038711417466402054,
0.0011540510458871722,
1.111553430557251,
-0.1326885223388672,
0.6661630272865295,
... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Santa was so nice that Marc realized he didn't have to be nervous! | 8 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.3463035523891449,
0.7810251712799072,
0.14885416626930237,
-0.808843731880188,
-0.48266148567199707,
0.20601248741149902,
0.9399901628494263,
0.48063910007476807,
-0.0338384285569191,
-0.42964985966682434,
-0.4726221263408661,
0.5776879787445068,
0.12095876783132553,
0.08921248465776443... |
In this task, you need to write a topic word from the given fact. The topic word must have at least one word overlap with the given fact. The topic word often involves adding a new word from a related concept. In your topic word, use at least one word from the given fact. Topic words with two or more words work best.
... | fog is formed.
| 1 | NIv2 | task036_qasc_topic_word_to_generate_related_fact | fs_opt | [
-0.00429113581776619,
0.8349408507347107,
-0.254590779542923,
0.25941362977027893,
-0.5518946647644043,
-0.6523721218109131,
-0.002994065871462226,
0.558784008026123,
-0.12829352915287018,
-0.8415363430976868,
-0.9250960946083069,
0.5390753746032715,
-0.49041664600372314,
-0.17374284565448... |
Detailed Instructions: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 問題の写真は、元々は昨年3月に南ドーセット選挙区で、ウェイマスに住む移民家族のためにキャンペーン中のMattsと保守党幹部アン・W... | No | 9 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
0.40623342990875244,
-0.011779002845287323,
0.18053455650806427,
-0.3465883731842041,
-0.04714430123567581,
-0.53090900182724,
0.5452369451522827,
0.23045304417610168,
-0.46290475130081177,
-0.044285837560892105,
0.37470412254333496,
0.09736873209476471,
-0.660334587097168,
0.1014168858528... |
Given the task definition, example input & output, solve the new input case.
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 consistency, answers should be in all lower cased letters.
Example: Category... | memphis | 1 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.29945123195648193,
0.11545136570930481,
-0.3854815661907196,
0.05276479572057724,
0.31179380416870117,
0.1297328919172287,
0.05398917198181152,
0.523754894733429,
0.39306578040122986,
0.17496371269226074,
-0.08061450719833374,
-0.09651556611061096,
-0.23587997257709503,
0.14554709196090... |
Given the task definition, example input & output, solve the new input case.
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, Per... | Yes | 1 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.2613823413848877,
-0.38087040185928345,
0.26217398047447205,
0.1610942780971527,
0.08347156643867493,
-0.7942178845405579,
1.0253939628601074,
0.6321959495544434,
-0.593492865562439,
0.02547125145792961,
-0.4493417739868164,
-0.0960465669631958,
-0.778647780418396,
-0.08957747370004654,
... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | none
| 5 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.25630104541778564,
0.2114841341972351,
-0.5665318965911865,
-0.37221235036849976,
-0.2922382950782776,
-1.2424466609954834,
0.04752281680703163,
0.647385835647583,
0.1461378037929535,
0.1992848813533783,
-0.6392251253128052,
0.07400291413068771,
-0.581637978553772,
0.42356234788894653,
... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Example in... | nigger | 3 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.9135494232177734,
0.9535621404647827,
0.5120845437049866,
0.6429733037948608,
-0.5530493855476379,
-0.9601684212684631,
0.03702592849731445,
0.7199318408966064,
0.9024120569229126,
0.5608722567558289,
-0.5153331756591797,
0.2165696918964386,
-0.5550214052200317,
-0.7226014137268066,
-... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: Consider Input: دستور دادم، در صورتی که او بخواهد رفتار عاقلانهای در پیش گیرد، انضباط به نحو قابل ملاحظهای سست شود؛
Output: I offered to relax the discipline considerably if he would behave in a reasonable manne... | Output: and Jo never stirred from Beth's side.
| 2 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.060420483350753784,
0.35415610671043396,
-0.4552973806858063,
-0.39566054940223694,
-0.24781844019889832,
-0.9777448177337646,
0.07797335088253021,
0.6959283351898193,
0.4339953064918518,
-0.14419259130954742,
-0.34876424074172974,
0.1927240937948227,
-0.5528140068054199,
-0.50293445587... |
Given the task definition and input, reply with output. In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listi... | #1 return customers
#2 return last names of #1
#3 return staff
#4 return last names of #3
#5 return #2 , #4 | 5 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.6907010674476624,
-0.07672024518251419,
-0.7600268125534058,
0.6318179368972778,
0.21958355605602264,
-0.2861385941505432,
1.180406928062439,
-0.022620685398578644,
-0.13770270347595215,
0.4095689058303833,
-0.5012252330780029,
0.06433186680078506,
0.13948281109333038,
0.3957052230834961... |
In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user co... | Charles Delaport
| 5 | NIv2 | task1600_smcalflow_sentence_generation | fs_opt | [
0.05426805838942528,
0.22279101610183716,
-0.3935587704181671,
-0.20140837132930756,
-0.5464975833892822,
-0.5255481004714966,
1.0202733278274536,
-0.3570869266986847,
0.5497341156005859,
-0.13061535358428955,
-0.25847816467285156,
-0.26875799894332886,
-0.4652693271636963,
0.5250608921051... |
instruction:
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
question:
How is L&T Technology Services IPO?
answer:
What Did Allen Ginsberg mean when he said this?
question:
What should you do if you tell y... | How is the Lewis structure for C3H6 determined?
| 9 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.9550191164016724,
1.402633547782898,
0.3465670347213745,
0.4320754408836365,
-0.21455828845500946,
-0.22134599089622498,
0.3417760729789734,
0.07871019840240479,
-0.03498029336333275,
0.14541372656822205,
-0.4005112051963806,
0.45620545744895935,
-0.4921475648880005,
0.3216559886932373,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
--------
Question: I zdałem sobie sprawę, że Włochy są miejscem, gdzie można akceptować różne ideologie i radzić sobie z różnorodnością nie czyniąc z tego problemu, albo można wybrać, że się ją ignoruje. Wtedy nie ma walczącyc... | وها هي, figure ground.
| 7 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
0.06708875298500061,
0.5112476348876953,
0.08926711231470108,
-0.3780359923839569,
-1.0304405689239502,
-0.4825183153152466,
0.9732571840286255,
0.6003887057304382,
0.49215519428253174,
-0.5197925567626953,
-0.2807430326938629,
0.7105544805526733,
-0.6211625933647156,
0.3655244708061218,
... |
Definition: This task is about translating a given French language sentence to English.
Input: Elle a levé le doigt tout à coup, et m'a dit,
Output: | She suddenly raised her hand like this, and said to me, | 2 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.13190597295761108,
0.9131624698638916,
0.17416612803936005,
0.005647391080856323,
-0.027761630713939667,
-0.5482662916183472,
-0.3279481530189514,
0.5190168023109436,
0.3560006022453308,
-0.02062937244772911,
-0.40607208013534546,
0.19446855783462524,
-0.6072949171066284,
-0.468542456626... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: They're drinks are good.
A: | Have you been to the new bar downtown? | 9 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.5174716711044312,
1.6484917402267456,
0.08013802766799927,
-0.9109078645706177,
0.11558664590120316,
-1.9217041730880737,
0.6289077997207642,
0.006772620603442192,
0.581821084022522,
-0.20652997493743896,
-0.11315508186817169,
-0.5491591691970825,
-0.992293119430542,
0.2757601737976074,... |
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
| 3 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
0.19579848647117615,
0.30947980284690857,
-0.3366069197654724,
0.19858643412590027,
0.5790455341339111,
-0.45561403036117554,
0.6561887264251709,
1.7359462976455688,
0.12638500332832336,
-0.1227467805147171,
-0.34977251291275024,
-0.18416137993335724,
-0.5148324966430664,
-0.07146885991096... |
Instructions: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE ... | OFFENSIVE | 3 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.463563323020935,
0.11490581929683685,
0.5381031632423401,
0.4721747636795044,
-0.35835200548171997,
-0.32480040192604065,
0.052597638219594955,
0.5974825620651245,
0.2965831756591797,
0.2730633318424225,
0.24387753009796143,
-0.08691571652889252,
-0.22697724401950836,
-0.773870706558227... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
--------
Question: When did queen elizabeth 2 mom die ?
How do butterflys protect themself ?
How do you beat bouffant b... | Who developed of the computer ?
| 7 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
-0.032639410346746445,
0.739593505859375,
-0.16516387462615967,
-0.9321727752685547,
-0.5844331979751587,
-0.1172703355550766,
0.47824591398239136,
0.14263121783733368,
0.4293350875377655,
-0.28837305307388306,
0.2319795787334442,
-0.3311806321144104,
-0.6877378821372986,
-0.14716944098472... |
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 that seamlessly connect with the rest of the story; note that the selected choi... | bc
| 3 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.12836506962776184,
0.291154146194458,
-0.30750584602355957,
0.40047767758369446,
0.11676423251628876,
-0.011466650292277336,
0.5299398899078369,
1.467316746711731,
-0.20779556035995483,
0.3512592911720276,
-0.16056138277053833,
-0.25382450222969055,
0.04294082894921303,
-0.36258408427238... |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: ਮੈਂ ਰਾਜ ਸਰਕਾਰ ਦੀ ਇਸ ਗੱਲ ਲਈ ਵੀ ਪ੍ਰਸ਼ੰਸਾ ਕਰਦਾ ਹਾਂ ਕਿ ਉਹ ਗੁਵਾਹਾਟੀ ਨੂੰ ਆਸੀਆਨ ਦੇਸ਼ਾਂ ਨਾਲ ਵਪਾਰ ਲਈ ਇੱਕ business hub ਦੇ ਤੌਰ ‘ਤੇ ਵਿਕਸਿਤ ਕਰ... | குவஹாத்தியை வணிக மையமாக உருவாக்கி, ஆசியான் நாடுகளுடன் வர்த்தக உறவுகளை வலுப்படுத்தும் வகையிலான இத்தகைய திட்டங்களுக்காகவும் நான் அசாம் அரசைப் பாராட்டுகிறேன். | 9 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
0.055080339312553406,
0.5706220865249634,
0.7612751126289368,
-0.23907363414764404,
0.5025111436843872,
-1.71043062210083,
0.07973597198724747,
0.11269313097000122,
-0.7130477428436279,
0.35898780822753906,
-0.6342880725860596,
-0.22003814578056335,
-0.7974434494972229,
0.00712684821337461... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | film
| 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.09697898477315903,
0.7288092970848083,
-0.5052512884140015,
0.2585204839706421,
0.34165385365486145,
-0.12320421636104584,
0.164657860994339,
0.24476611614227295,
-0.1385064423084259,
0.13460226356983185,
-0.13511765003204346,
-0.05575164407491684,
-0.24413630366325378,
-0.72298395633697... |
Detailed Instructions: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
See one example b... | Hope Speech | 4 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
0.03268653154373169,
-0.21902106702327728,
0.43505752086639404,
0.2688050866127014,
-0.07986661791801453,
-1.16689133644104,
-0.37047815322875977,
0.6987431049346924,
-0.38592666387557983,
0.3216506838798523,
-0.2962350845336914,
0.20995983481407166,
-0.4103142023086548,
-0.430893927812576... |
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.
[Q]: On paper, this movie would sound incredibly boring. The idea of a 75-year-old man traveling the country-side on a riding mower certainly doesn't have m... | negative
| 5 | NIv2 | task284_imdb_classification | fs_opt | [
0.2916756868362427,
-0.2093861699104309,
-0.12458115816116333,
-0.03666923940181732,
0.738548755645752,
-0.1618163287639618,
0.6027802228927612,
1.2707531452178955,
-0.1628982275724411,
0.3768356144428253,
-0.48312467336654663,
0.1254866123199463,
-0.3333703279495239,
-0.3276239037513733,
... |
Detailed Instructions: 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).
See one example below:
Problem: Context: Joanne McLeod is a Canadian figure... | sakthi chidambaram | 4 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.37707579135894775,
0.635759711265564,
-0.7493605017662048,
-0.3068743348121643,
0.43110954761505127,
0.21439018845558167,
0.7458597421646118,
0.806928277015686,
-0.30264005064964294,
0.09115409851074219,
-0.09257832169532776,
0.6597260236740112,
-0.6504659652709961,
0.5093403458595276,
... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Example: Sent... | Solution: Unidentifiable | 5 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.7653127312660217,
0.587019681930542,
0.0680253654718399,
-0.4111628532409668,
0.29315999150276184,
-0.43202799558639526,
0.07999221235513687,
1.026715636253357,
0.5502045154571533,
0.19473519921302795,
-1.4626657962799072,
-0.21208253502845764,
-0.4698742628097534,
-0.510002076625824,
... |
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
Q: Event:PersonX proposes marriage. Intent:. XEmotion: 1)... | relieved
****
| 4 | NIv2 | task924_event2mind_word_generation | fs_opt | [
-0.03716770559549332,
0.2753077745437622,
0.1759268045425415,
-0.35627877712249756,
-0.5344461798667908,
-0.5654882788658142,
1.3627420663833618,
0.33708351850509644,
0.10399308800697327,
-0.44227534532546997,
0.26040366291999817,
0.08480402827262878,
-0.47589173913002014,
0.34799352288246... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Example input: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Example output: Pero comenzamos con la idea de un niño por vez.
Example explanation: The Hebrew sentence is correctly translated into Spanish, because the meanin... | Y este artículo de The Economist lo resume muy bien acerca de las oportunidades en la salud en los países en desarrollo. "" Los teléfonos móviles marcaron una gran diferencia en las vidas de muchas personas, mucho más rápidamente que cualquier otra tecnología anterior. "" Y eso fue antes de que nos adentráramos en el m... | 3 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.6909783482551575,
0.6540578007698059,
0.08054202795028687,
-0.424177348613739,
-0.7102437615394592,
0.029795613139867783,
0.6454422473907471,
0.3455483913421631,
0.5103507041931152,
-0.3346708416938782,
-0.34120380878448486,
0.7303202748298645,
-0.9522848129272461,
0.0786096379160881,
... |
Q: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: It's hard to believe that this is a sequel to Henry Fool... | yes | 7 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.5069100856781006,
-0.07648114860057831,
0.6442590355873108,
0.07009262591600418,
0.4902474284172058,
-1.3405425548553467,
0.28834056854248047,
0.913885235786438,
-0.23554086685180664,
-0.03446270897984505,
-0.5900559425354004,
0.1880091428756714,
-0.6357519626617432,
-0.0574673712253570... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: Distr.
A: English
****
Q: -كيف حالها يا (جاين)؟
A: Jane, how is she?
****
Q: 33,760 هومر يوجد رسالة لك، أنها من المكتبة
A: | Bill.
****
| 4 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
-0.7763229608535767,
-0.054019905626773834,
0.00867546908557415,
-0.8684425354003906,
0.04790875315666199,
-0.4236336946487427,
0.3534100651741028,
-0.25147366523742676,
0.5618654489517212,
0.13658112287521362,
-0.20402324199676514,
0.6114181280136108,
-0.9850878119468689,
0.10868602246046... |
In this task, you need to count the number of words in a sentence that contain the given letter
Example: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
Example solution: 3
Example explanation: The words 'gray', 'standing', and 'a' contain the letter 'a'. So,... | Solution: 1 | 5 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.2398475706577301,
0.2909584641456604,
-0.50213623046875,
-0.7768874764442444,
-0.014613453298807144,
-0.3040681481361389,
0.4598642587661743,
0.4014948308467865,
0.7034735083580017,
-0.7515592575073242,
-0.7253024578094482,
0.26535341143608093,
-0.1320420801639557,
-0.029892032966017723... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Jan a testé le courant, et a remarqué qu'il était élevé. Il pensait que les fils pourr... | D | 0 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | zs_opt | [
0.2121959924697876,
0.7452781200408936,
-0.10898102819919586,
-0.28357940912246704,
-0.1252852976322174,
-0.3049466609954834,
0.6157172918319702,
1.0296083688735962,
-0.25468382239341736,
0.2787015438079834,
-0.5769789218902588,
0.21797455847263336,
-0.12121935933828354,
-0.783111214637756... |
Q: Given a sentence in Spanish, generate a new Spanish 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 i... | Si usted procede a ir a perder un conductor entonces usted debe llamar a un amigo. | 7 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.5430656671524048,
0.6606935262680054,
0.17861196398735046,
-0.8494186401367188,
-0.2549400329589844,
-0.5390787720680237,
0.3065270185470581,
1.334633231163025,
-0.3192417025566101,
-0.4504445493221283,
-0.5820320248603821,
-0.6215910315513611,
-0.6599273681640625,
-0.003447861643508076... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Q: @AmberX994874 Butcher Jim landed on his arse #hilarious #NinjaWarriorAU
A: | Happy | 9 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-0.9518227577209473,
-0.14956384897232056,
0.2520940899848938,
0.16752079129219055,
-0.3339815139770508,
-0.07082515954971313,
0.6996663212776184,
-0.3168962001800537,
0.4379788041114807,
0.3635252118110657,
-0.14329127967357635,
0.07673025131225586,
-0.6842210292816162,
-0.176357597112655... |
Part 1. Definition
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitic... | geopolitical | 7 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-1.0823742151260376,
-0.2774336338043213,
0.5900400876998901,
0.2860707640647888,
-0.8745874762535095,
-0.22776848077774048,
0.5425597429275513,
-0.1914321780204773,
0.2946600019931793,
-0.3298666775226593,
-0.5031256079673767,
-0.18052858114242554,
-0.22030705213546753,
-0.301270663738250... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Problem:وبعد ذلك ، أتى وقت تحضير دراستي العليا ، درست هذا المجال الناشئ ، علم البيئة الطبيعية.
Solution: | Quindi, quando è arrivato il momento di scegliere i miei studi universitari, Ho scelto di studiare questo campo emergente dell'ecologia del paesaggio. | 8 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.2570030093193054,
0.8282808661460876,
-0.2248689830303192,
-0.10685120522975922,
-1.1713662147521973,
0.34369659423828125,
-0.4339224696159363,
0.7973846793174744,
0.46716922521591187,
-0.7658806443214417,
-0.47132766246795654,
-0.10709641128778458,
-0.5924949049949646,
0.45673316717147... |
Teacher:You are given a statement written in Kannada. 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? Solve this instance: Statement: ಈ ಕುಣಿತದ ಮುಖ್ಯ ನಂಬಿಕೆಯೇನಂದರೆ 'ಕನ್ಯಾಪ... | ಬೆಳ್ತಂಗಡಿ | 6 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.3008505403995514,
1.4158092737197876,
-0.1780223250389099,
0.2714853584766388,
-0.6148515939712524,
-0.9451261758804321,
0.47651106119155884,
1.1681532859802246,
-0.8306646347045898,
-0.8057214021682739,
-0.17383350431919098,
0.21596333384513855,
-0.10463187098503113,
0.04442577064037323... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: அவர்களின் பங்களிப்பால் கிடைக்கும் வருவாய் மூலம், திட்டங்கள் நிறைவேற்றப்படுகின்றன.
A: | ఈ గొప్పతనం పన్ను చెల్లింపుదారులదే తప్ప, ప్రభుత్వానికి కాదు. | 9 | NIv2 | task1075_pib_translation_tamil_telugu | zs_opt | [
0.27132076025009155,
0.40261441469192505,
0.6867191791534424,
-0.24812638759613037,
0.2231166809797287,
-1.6458736658096313,
0.21626392006874084,
0.2690425217151642,
-0.3274885416030884,
-0.14798901975154877,
-0.32444024085998535,
-0.38947561383247375,
-0.4728628396987915,
0.25983059406280... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
One example: System Reference: x is a reasonably priced fast food restaurant down ... | 1 | 6 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.3768712282180786,
0.9993138313293457,
-0.5158510804176331,
-0.30979013442993164,
-0.5633058547973633,
-0.026289865374565125,
1.1080272197723389,
0.8091291189193726,
-0.370668888092041,
-0.21483618021011353,
-0.23416543006896973,
-0.2109229564666748,
-0.6292586922645569,
-0.1593111753463... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
One example is below.
Q: این یک خانه ی اسکیمو می شود.
A: Così diventa un igloo.
Rationale: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Q: (تشویق) چیزی که جالب بود این بود که رسان... | (Applausi) La cosa interessante era che i media non riuscivano a entrare. | 9 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.06301332265138626,
0.47957688570022583,
-0.3017251789569855,
-0.0416780449450016,
-0.06228640303015709,
-0.8084474802017212,
0.6689693927764893,
0.2512452304363251,
0.16449302434921265,
-0.13956552743911743,
-0.6935840249061584,
1.0607047080993652,
-0.6723464727401733,
0.534211754798889... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Q: گفتید: اینک یهوه، خدای ما، جلال و عظمت خود را بر ما ظاهرکرده است، و آواز او را از میان آتش شنیدیم، پس امروز دیدیم که خدا با انسان سخن میگوید وزنده است.
A: | Neither shalt thou commit adultery. | 4 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.12872415781021118,
1.4636003971099854,
-0.3007509708404541,
-0.12274007499217987,
-0.9499651193618774,
-0.5366998910903931,
0.9568599462509155,
0.3448667526245117,
0.6125649213790894,
0.07391680777072906,
-0.6417502164840698,
0.5348925590515137,
-0.480023056268692,
0.09686163067817688,
... |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the ... | Carol | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt | [
0.16835492849349976,
0.3431209921836853,
-0.4887002408504486,
0.5178605318069458,
-0.4572144150733948,
-0.5245203971862793,
0.613381028175354,
0.8633674383163452,
-0.12686561048030853,
-0.22390645742416382,
-0.19516949355602264,
-0.012552940286695957,
-0.8117950558662415,
-0.03434688597917... |
Detailed Instructions: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Problem:The following are the principal precautions against fire.
Solution: | La alandelayo ngamanyathelo athathwa ngaphambili ukukhusela umlilo. | 8 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.5899522304534912,
1.1427888870239258,
0.23243387043476105,
-0.6917902231216431,
-0.4985311031341553,
-1.4793663024902344,
1.2131807804107666,
0.6756858229637146,
0.08064570277929306,
-0.04115423560142517,
-0.12863588333129883,
-0.3898807764053345,
-1.006183385848999,
-0.38303858041763306... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Let me give you an example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
The answer to this example can be: Who did the Han Chinese want to help the Mongols fight... | What is the term when top income earners aspire to obtain the same standards of living as people wealthier than themselves? | 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.747612476348877,
0.6707510352134705,
-0.14877888560295105,
-0.39764833450317383,
-0.3142922520637512,
-0.492016077041626,
0.7332062721252441,
0.9112376570701599,
0.5520493984222412,
-0.12047727406024933,
-0.6026682257652283,
-0.6197465658187866,
-1.1985406875610352,
-0.24311424791812897... |
Detailed Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/exi... | He though he should donate less. | 9 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.39918211102485657,
0.4314311146736145,
0.22472117841243744,
-0.4530261754989624,
-0.4290785789489746,
-0.46561428904533386,
0.5579051971435547,
0.2162855565547943,
-0.1540258675813675,
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-0.3352434039115906,
0.6340900659561157,
-0.819090723991394,
0.07403886318206787,
... |
Detailed Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Problem:Igbo sentence: Anyị hapụrụ Ya ma Ọ dịghị mgbe hapụrụ anyị.
Solution: | We left Him but He never left us. | 8 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.017328087240457535,
1.0902713537216187,
0.5044684410095215,
-0.43009400367736816,
-0.0286276713013649,
-1.736150860786438,
0.197808176279068,
0.5916347503662109,
0.17140156030654907,
0.016757026314735413,
-0.2171432375907898,
-0.5244058966636658,
-0.8679621815681458,
-0.1425759345293045... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_crate | 0 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
-0.1586657166481018,
0.19504618644714355,
-0.9710856676101685,
-0.011335662566125393,
-0.1294763684272766,
-0.4588446319103241,
-0.5200703144073486,
0.9309974312782288,
0.17417196929454803,
-0.18189331889152527,
-0.14441543817520142,
0.1931629478931427,
-0.14568430185317993,
0.141306281089... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And take thou unto thee Aaron thy brother, and his sons with him, from among the children of Israel, that he may minister unto me... | و رختهایی که میسازنداین است: سینه بند و ایفود و ردا و پیراهن مطرز وعمامه و کمربند. این رختهای مقدس را برای برادرت هارون و پسرانش بسازند تا بجهت من کهانت کند. | 1 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.2539377212524414,
0.6356719732284546,
-0.4812321066856384,
-0.015895914286375046,
-0.362121045589447,
0.7133439779281616,
1.0067527294158936,
0.3723597824573517,
0.6674526333808899,
0.16511011123657227,
-0.10087104141712189,
0.4996207356452942,
-0.5645970702171326,
-0.18067318201065063,
... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introd... | A medical professional watches a screen as he works. | 5 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.9641530513763428,
0.6419847011566162,
0.2001335322856903,
-0.36254578828811646,
0.09440969675779343,
0.28327909111976624,
-0.49397268891334534,
0.3401542007923126,
0.7486491799354553,
-0.28188666701316833,
-0.8590694665908813,
-0.2071077823638916,
0.17015981674194336,
0.2253094613552093... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Ex Input:
My mother feels ecstatic.
Ex Output:
joy
Ex Input:
This man fou... | joy
| 1 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.6817370653152466,
-0.02805054746568203,
0.0322798527777195,
-0.5955851078033447,
-0.22807577252388,
-0.15552470088005066,
0.3619134724140167,
0.947885274887085,
0.7363725900650024,
-0.07080619037151337,
-0.8753632307052612,
-0.2884931266307831,
-0.4751017093658447,
-0.26188939809799194,... |
You will be given a definition of a task first, then some input of the task.
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: Ahnherr der Schtwätzer wykonawcy Von Spar\nhttps://t.co/SOtenSqIr0 , Question: Is the tweet free of any cyberbullying (har... | Yes | 1 | NIv2 | task839_cdt_classification | zs_opt | [
-1.5553041696548462,
1.2944295406341553,
0.21123339235782623,
0.7816193103790283,
-0.5097346305847168,
-0.523377537727356,
0.5483924746513367,
-0.021075986325740814,
0.21143260598182678,
0.07974054664373398,
-0.11291725188493729,
0.2879021167755127,
-0.48252516984939575,
-0.321310609579086... |
Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '15 ounces piquillo peppers, drained well', '3 tablespoons coarsely chopped fresh basil', '2 garlic cloves', '1/2 tablespoon fresh lemon juice', '1 teaspoon salt', '1 teaspoon unf... | Piquillo Pepper Mousse | 3 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.027109013870358467,
0.5479161143302917,
-0.15731695294380188,
0.14286109805107117,
0.13209350407123566,
-0.8480241894721985,
0.9725679159164429,
0.6703462600708008,
-0.11997920274734497,
-0.10355144739151001,
0.00842608604580164,
0.23828229308128357,
-0.39598333835601807,
0.2534144520759... |
In this task, we ask you to write an answer to a question about when an event happened. Your answer should be a wrong answer. That is, if you are asked about when an event happened, you should answer with a time that the event didn't likely happen. For example, "going to school" usually happens during the day (not at 2... | 162 years ago.
****
| 4 | NIv2 | task014_mctaco_wrong_answer_generation_absolute_timepoint | fs_opt | [
-0.040083304047584534,
0.33401554822921753,
-0.5544745922088623,
-0.191055029630661,
-0.39743611216545105,
-0.07974617183208466,
0.5334466695785522,
-0.16720207035541534,
-0.2744455933570862,
0.1058373898267746,
-0.38425180315971375,
0.6176432967185974,
-0.7792233228683472,
0.0131348287686... |
Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following the "A : B" relation.
Let me give you an example: moon ... | bus | 8 | NIv2 | task1154_bard_analogical_reasoning_travel | fs_opt | [
0.41490140557289124,
1.0070123672485352,
-0.841087818145752,
-0.015954095870256424,
-0.6081404089927673,
0.4301908314228058,
0.9535331130027771,
0.553855299949646,
0.3541736602783203,
-0.6820182800292969,
-0.3151131868362427,
0.20595082640647888,
0.5806506872177124,
-0.06541406363248825,
... |
instruction:
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appr... | employee
| 9 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
-0.16811315715312958,
0.8739124536514282,
-0.7897095680236816,
0.6100460886955261,
-0.48604750633239746,
-0.3364752531051636,
1.1804969310760498,
0.32496529817581177,
0.29869920015335083,
-0.5307255983352661,
-0.5011196136474609,
0.10033363103866577,
0.10848347842693329,
0.1593678593635559... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Let me give you an example: PPdQTlHHTJEe, DydQTlHHVnmlLu
The answer to this example can be: dQTlHH
Here is why: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVn... | Xpf | 8 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.15274980664253235,
1.0892438888549805,
-0.9167773723602295,
-0.6513119339942932,
-0.4457548260688782,
-0.8830462694168091,
0.6035245060920715,
-0.269610196352005,
0.15704748034477234,
-0.47331100702285767,
-0.5200222730636597,
-0.45413076877593994,
-0.8033442497253418,
0.6223191022872925... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: കര്ഷകര്ക്ക് കാര്ഷികോത്പാദനത്തിന്റെ കാര്യത്തില് എന്തെങ്കിലും സഹായം ചെയ്യാന്സാധിക്കുമോ?
A: ਕਿਸਾਨਾਂ ਦੀ ਫ਼ਸਲਾਂ ਦੀ ਪੈਦਾਵਾਰ ਨੂੰ ਲੈ ਕੇ ਕੋਈ ਸਹਾਇਤਾ ... | ਇਸ ਲਈ ਮੈਨੂੰ ਭਰੋਸਾ ਹੈ ਕਿ ਭਾਰਤ ਦੁਨੀਆ ਵਿੱਚ ਛੇਵੇਂ ਸਥਾਨ ਉੱਤੇ ਸਥਿਤ ਹੈ, ਜੋ ਗਤੀਸ਼ੀਲ ਅਰਥਵਿਵਸਥਾ' ਵਿੱਚ ਪਹਿਲਾ ਬਾਨੀ ਹੋਵੇਗਾ।
****
| 4 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
-0.38048794865608215,
1.1229265928268433,
-0.00733074638992548,
0.003206466091796756,
-0.8157361149787903,
-1.8432164192199707,
0.11727576702833176,
0.734784722328186,
-0.2323603630065918,
0.21049953997135162,
-0.9968118071556091,
-0.04025637358427048,
-0.1912231743335724,
0.08248092979192... |
Given the task definition and input, reply with output. Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already ... | no | 5 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.12850020825862885,
0.17293483018875122,
0.30494463443756104,
0.22381319105625153,
0.5831416249275208,
-0.49961206316947937,
0.5166318416595459,
1.4361733198165894,
-0.302447646856308,
-0.21011686325073242,
-0.2691999673843384,
0.5757472515106201,
-0.4445738196372986,
0.07655255496501923,... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Post: @SenateDems @SenSchumer #Democrats Re... | Generic | 0 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-0.742030680179596,
0.22923484444618225,
0.858014702796936,
0.08567269146442413,
-0.5500066876411438,
-1.0691039562225342,
0.3786619305610657,
0.43530166149139404,
0.0647859275341034,
0.7923462390899658,
0.09018109738826752,
0.09990034997463226,
-0.17896369099617004,
-0.5606740713119507,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
¿Y qué hay del arte?
Output: | じゃあアートは ？ | 1 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.39316391944885254,
0.41696542501449585,
0.1560436487197876,
0.27820467948913574,
0.4187283217906952,
0.18275868892669678,
-0.03126426413655281,
0.3565976321697235,
0.20676612854003906,
-0.6810267567634583,
-0.10461869835853577,
-0.3784443438053131,
-0.44611597061157227,
0.34821873903274... |
In this task, you are given a hateful post in English 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... | Aggresive | 0 | NIv2 | task335_hateeval_classification_aggresive_en | zs_opt | [
-1.1666228771209717,
0.5339474678039551,
1.0037004947662354,
-0.12978008389472961,
-0.04983719438314438,
-0.43765127658843994,
1.136886477470398,
0.7571253180503845,
0.37985125184059143,
0.46252304315567017,
0.4577244520187378,
-0.12470046430826187,
-0.6550695896148682,
-0.5126434564590454... |
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