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 |
|---|---|---|---|---|---|---|
Detailed Instructions: 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 ef... | against | 8 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.4718042016029358,
0.508874237537384,
-0.19206851720809937,
-0.04970492050051689,
0.5067524909973145,
-0.8146789073944092,
0.25503385066986084,
0.8913484811782837,
0.07247045636177063,
0.011645965278148651,
0.13986939191818237,
-0.07935166358947754,
-0.6072410345077515,
0.1885267794132232... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
[Q]: English sentence: I felt alive.
[A]: M chere na ndụ.
[Q]: English sentence: We've developed an all-inclusive guide with information and reviews about the top online casino games, inc... | O mekwara ka ha na Jehova ghara ịdị ná mma n'ihi na 'anya ya dị nsọ nke ukwuu nke na ọ dịghị ele ihe ọjọọ.'
| 5 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.035100799053907394,
0.2860235273838043,
-0.007737344596534967,
-0.061575617641210556,
0.16972008347511292,
-1.077018141746521,
1.060666561126709,
0.19319379329681396,
0.31605398654937744,
-0.28745925426483154,
0.3422812819480896,
0.18823274970054626,
-1.3709416389465332,
-0.107598081231... |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix... | No
| 0 | NIv2 | task1442_doqa_movies_isanswerable | fs_opt | [
0.07783475518226624,
0.2422027289867401,
-0.37663817405700684,
0.8066707253456116,
0.16922253370285034,
-0.377494752407074,
0.547240138053894,
0.8435708284378052,
0.5603065490722656,
0.5386817455291748,
-0.07647600769996643,
0.013207344338297844,
-0.7248389720916748,
0.6061915159225464,
... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: イラクのバグダッドで火曜日、１４人の遺体が警察に発見された。
Thai: แต่หน่วยFBI ได้ปฏิเสธที่จะเปิดเผยรายละเอียดของการสอบสวน | No | 0 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.40168124437332153,
-0.958767294883728,
0.25228258967399597,
0.07756410539150238,
0.10639843344688416,
-1.024763584136963,
0.7957379817962646,
0.575087308883667,
-0.42071041464805603,
0.1593134105205536,
-0.7186625003814697,
0.23364101350307465,
-0.25878220796585083,
0.5906914472579956,
... |
Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Input: - (Groans) - (zipper unzips)
Output: | - ( groans ) - ( zipper unzips ) | 3 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.05525144934654236,
0.8672712445259094,
0.3601675033569336,
0.12283371388912201,
0.33409368991851807,
-0.7805248498916626,
0.4745984971523285,
-0.29200851917266846,
-0.7839842438697815,
-0.3948494791984558,
-0.5488947033882141,
0.4793621301651001,
-0.6715641617774963,
-0.4041330516338348... |
In this task, you need to Translate Czech text to English.
Ex Input:
Variabilní smerové natácení kol je umožneno pomocí statoru (1) elektromotoru, který je pevne spojen s rámem a pomocí rotoru (2) elektromotoru, jenž je spojen s drážkovaným nábojem (3). Mezi drážkovanou maticí (4) a drážkovaným nábojem (3) je tvarový ... | Adjustable crane stacker type is intended for handling and storage a wide range of metallurgical materials, both sheets and rolled profiles but also other bulky materials and stock units. The stacker has two Self-propelled trolleys associated with stabilization telescopes with telescopic telescopic parts frame... | 1 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.15091373026371002,
-0.7178117632865906,
0.0008371792500838637,
0.4529160261154175,
0.6334306001663208,
-0.017288293689489365,
1.109886884689331,
1.003983497619629,
-0.2540756165981293,
0.38599660992622375,
-0.09994053840637207,
0.4563139081001282,
-0.06703488528728485,
0.3250318765640259... |
Given the task definition, example input & output, solve the new input case.
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Example: There are special coaching classes for Adivasi students
Output: आदिवा... | आईएआरआई की आधारशिला रखते हुए प्रधानमंत्री ने कहा कि इससे भविष्य में पूरे क्षेत्र में एक सकारात्मक प्रभाव पड़ेगा। | 1 | NIv2 | task1023_pib_translation_english_hindi | fs_opt | [
0.18357032537460327,
0.3536616563796997,
0.12433552742004395,
0.41167980432510376,
0.22342358529567719,
-0.2617965340614319,
0.4068739414215088,
0.8080545663833618,
-0.09050504863262177,
-0.4334317445755005,
-0.14328473806381226,
0.2150905430316925,
0.08905995637178421,
0.03939864039421081... |
Given the task definition and input, reply with output. Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Does iro... | no | 5 | NIv2 | task846_pubmedqa_classification | zs_opt | [
-0.17045073211193085,
0.40926504135131836,
-0.010231543332338333,
0.27390313148498535,
-0.5680639743804932,
0.2411317527294159,
0.7008044719696045,
0.8368717432022095,
0.07145164906978607,
-0.18703122437000275,
-0.9387200474739075,
0.27175092697143555,
-0.0703519806265831,
0.35457634925842... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
One example: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution is here: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Explanation: The Portugese sentence i... | Les voy a dar un ejemplo, un ejemplo muy simple de como funciona esto. | 6 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.166900634765625,
1.0759172439575195,
0.45299118757247925,
-0.4718751311302185,
-0.379952073097229,
-0.9458869099617004,
0.3999134600162506,
0.6903358101844788,
0.45474907755851746,
-0.8472158908843994,
-0.7561231851577759,
0.0022011452820152044,
-0.7673846483230591,
0.098778635263443,
... |
Definition: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [-3, -26, -45, -2, 51, 71, -54]
Output: | [-26, -2, 71] | 2 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.2168651819229126,
-0.2623016834259033,
-0.6946941018104553,
-0.3808697462081909,
0.2818326950073242,
0.3779667615890503,
0.8654838800430298,
0.05797387659549713,
-0.15683069825172424,
0.1376475691795349,
-0.7841060161590576,
0.1864410638809204,
0.007103905081748962,
-0.46103185415267944... |
Given the task definition and input, reply with output. 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.
Sentence: 'a bathroom with a white sink sitting in a counter'. How many words start with the letter 'c' in the sentence.
| 1 | 5 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
-0.6463721394538879,
1.3565181493759155,
-0.8724862337112427,
-0.2802048921585083,
0.010114520788192749,
0.38009536266326904,
-0.44344061613082886,
0.7002153992652893,
0.29939889907836914,
-0.18075759708881378,
0.16050437092781067,
-0.2821017801761627,
-0.28225353360176086,
-0.392618417739... |
Teacher:In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: retur... | select the rows whose total asian population record is greater than 130000 . there is only one such row in the table . the london borough record of this unqiue row is newham . | 6 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.1881563365459442,
-0.13462074100971222,
-0.24029481410980225,
-0.22795188426971436,
0.0681653767824173,
-0.5726354122161865,
0.34145423769950867,
0.5218919515609741,
-0.011251628398895264,
-0.2352292239665985,
-0.4396292269229889,
0.10626416653394699,
0.010701010003685951,
0.328903526067... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Consider Input: Tweet: Sędzia złodziej będzie nadal orzekał. To jakaś MASAKRA. , Question: Does the tweet contain cyberbullying (harmful) content?
Output: No
Input: Consider Input: Tweet: @anonymi... | Output: Yes
| 2 | NIv2 | task839_cdt_classification | fs_opt | [
-0.9952155351638794,
1.152997612953186,
-0.009266246110200882,
0.37828338146209717,
-0.702046275138855,
-0.6362985372543335,
0.23774319887161255,
0.17624177038669586,
0.2780059576034546,
0.2563426196575165,
0.09598946571350098,
-0.10361768305301666,
-0.982175886631012,
0.19005608558654785,... |
Given the task definition and input, reply with output. Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The outpu... | metal HasProperty strong | 5 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.32251212000846863,
1.172378659248352,
-0.11017724871635437,
-0.2903854250907898,
-0.4300699830055237,
-0.1306779682636261,
0.3622971773147583,
0.19271263480186462,
0.35973432660102844,
-0.4408034682273865,
-0.8327998518943787,
0.48356184363365173,
-0.5568553805351257,
0.1137823536992073... |
Teacher:In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? Solve this instance: I go... | 5 | 6 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.4411109387874603,
-0.17426609992980957,
0.4025043249130249,
-0.22631393373012543,
0.732661783695221,
-0.5717894434928894,
0.4287068247795105,
0.4280291497707367,
-0.8632360696792603,
0.4380924105644226,
-0.07147183269262314,
-0.530726432800293,
-1.1492273807525635,
-0.7276238799095154,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example Input: Ou as que dizem: "" Não gastem todo o vosso orçamento num ecrã gigante "" para a sala de conferências "" para depois colocarem um microfone pequeno "" no centro de uma mesa para 30 pessoas. (Risos) "" ... | But even though I had this newfound joy and freedom, people's reaction completely changed towards me.
| 3 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.8215526938438416,
0.44474440813064575,
0.062284067273139954,
0.0952126607298851,
0.2860051989555359,
-0.6290196180343628,
0.22942523658275604,
0.8819035887718201,
0.18752630054950714,
0.2021397352218628,
0.34352296590805054,
0.2895039916038513,
-0.03805014118552208,
-0.14142972230911255,... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | NN
| 7 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.652210533618927,
0.698177695274353,
-0.41111868619918823,
0.03417501598596573,
0.2530786991119385,
-0.3555605709552765,
1.1879138946533203,
0.681942880153656,
-0.5078979730606079,
-0.08973845094442368,
-0.6526156067848206,
0.7217519879341125,
-0.6163734793663025,
0.15663312375545502,
0... |
In this task, you are given a paragraph and question in Chinese, and your task is to generate the right answer for the given question from the passage. Construct an answer in such a way that (i) it is unambiguous, (ii) it is extracted from the passage, (iii) it is relevant to the question asked, and (iv) its answer is ... | 北平
| 1 | NIv2 | task1570_cmrc2018_answer_generation | fs_opt | [
0.37216997146606445,
0.2200292944908142,
-0.9995017051696777,
0.44676637649536133,
0.7386714220046997,
-0.36727607250213623,
0.5351671576499939,
0.8665409088134766,
-0.20045436918735504,
0.06960329413414001,
-0.41970592737197876,
0.9134570360183716,
-0.6811233758926392,
0.2942515015602112,... |
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 Persian. Your job is to translate the Farsi sentence into Portugese.
من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transport... | Podem ver a luz nas lâminas cinzentas do diafragma. | 0 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.37544330954551697,
0.308147132396698,
0.3575752377510071,
0.5638550519943237,
-0.3712341785430908,
-0.18974679708480835,
0.5151637196540833,
0.26931485533714294,
-0.10230687260627747,
0.20795810222625732,
-0.7443457841873169,
0.10650210082530975,
0.34949710965156555,
0.7280107736587524,... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: English: Since foot-and-mouth was confirmed in cows at a Surrey farm... | No
| 3 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.3025427758693695,
-0.4326237440109253,
0.44350528717041016,
0.2589149475097656,
0.24151772260665894,
-0.8447517156600952,
0.10507476329803467,
0.5420584678649902,
-0.48264792561531067,
-0.2425711750984192,
-0.0948999747633934,
0.2488466203212738,
-0.6489485502243042,
0.13540729880332947,... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | Solution: strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.18478316068649292,
0.6060225367546082,
0.03421032801270485,
0.1809242218732834,
-0.05627456307411194,
-0.9298096895217896,
0.8281784057617188,
1.283879041671753,
0.26678532361984253,
-0.453702837228775,
-1.3670849800109863,
-0.0002938804100267589,
-0.47925639152526855,
-0.05889830738306... |
Q: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Prep... | IN DT NN CD NN IN CD , DT NN VBD WP JJ NN . | 7 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.48407432436943054,
0.45205584168434143,
0.0806695744395256,
0.08670374751091003,
0.07979840040206909,
-0.5344016551971436,
0.907192587852478,
0.4868404269218445,
-0.31665030121803284,
-0.12156444042921066,
-0.5319473743438721,
0.5823050141334534,
-0.11858263611793518,
0.14321798086166382... |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: 10 minutes into the film you 'll be white-knuckled and unable to look away .
Output: | POS | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.8475227952003479,
0.4986324608325958,
0.5979785323143005,
-0.12480932474136353,
-0.18767887353897095,
-0.4115893244743347,
0.6031008362770081,
0.6624147891998291,
0.36533597111701965,
0.7997922301292419,
-0.2389766126871109,
-0.5980369448661804,
0.12864702939987183,
-0.25033921003341675... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'a man holding a pizza on top of a pan covered in toppings'. Replace the letter 'o' with 'j' in the sentence.
Output: | a man hjlding a pizza jn tjp jf a pan cjvered in tjppings | 1 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.6660513877868652,
1.0337954759597778,
-0.4518381357192993,
-0.11784638464450836,
0.23969720304012299,
-0.05969509109854698,
0.5460363626480103,
0.5797051191329956,
0.08410165458917618,
-0.3146895170211792,
-0.23321765661239624,
-0.25484025478363037,
-0.42826083302497864,
-0.067975819110... |
Teacher: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should... | Yes | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
0.04496023803949356,
-0.3305927515029907,
0.7562559843063354,
0.30931633710861206,
0.14671207964420319,
-1.1155108213424683,
-1.0394175052642822,
0.9831175804138184,
-0.27998170256614685,
-0.1878594160079956,
-0.211540088057518,
-0.07660490274429321,
-0.4132530093193054,
-0.085788585245609... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example input: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Example output: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É co... | Así que se eu fora amosarlles todos os feixóns do mundo, e tivera unha diapositiva coma esta, e a cambiara cada segundo, ocuparía toda a miña charla en TED. E non tería que dicir nada. | 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.7765224575996399,
0.5058779716491699,
0.5051015615463257,
-0.2993716895580292,
-0.49471813440322876,
-0.40810245275497437,
0.07993589341640472,
0.3707469701766968,
-0.7895714044570923,
-0.505864143371582,
0.28316181898117065,
-0.04221530258655548,
-0.5762380361557007,
-0.147426426410675... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Positive | 4 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.4556235074996948,
-0.12189656496047974,
0.55123370885849,
0.5097224712371826,
-0.13373640179634094,
0.10991069674491882,
0.5498328804969788,
1.0835304260253906,
0.3910534977912903,
-0.3365016579627991,
0.540564775466919,
0.5593342781066895,
-0.013784920796751976,
-0.31280797719955444,
... |
TASK DEFINITION: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptab... | unacceptable
| 8 | NIv2 | task616_cola_classification | fs_opt | [
0.36569175124168396,
0.37570881843566895,
0.39740920066833496,
-0.41373732686042786,
0.08781341463327408,
-0.9866710305213928,
0.7123225927352905,
-0.09635116159915924,
0.35550251603126526,
0.3460463583469391,
-0.7982835173606873,
0.1991472989320755,
-0.6949484348297119,
0.6505814790725708... |
Teacher:In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: Text: Niestety, jestem zmuszona wystawić t... | negative | 6 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
-1.0679409503936768,
0.45531463623046875,
0.22894619405269623,
-0.8286446928977966,
0.6649007797241211,
-0.06154061108827591,
0.4361952543258667,
0.4186927080154419,
-0.07532722502946854,
0.6683333516120911,
-0.08508052676916122,
0.6299249529838562,
-0.5528209209442139,
-0.2115998119115829... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given 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 re... | No | 0 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.7312225103378296,
0.1639978587627411,
-0.07957091182470322,
0.29923492670059204,
-0.29922252893447876,
-0.8124217987060547,
1.0753496885299683,
0.850868821144104,
-0.7251565456390381,
-0.15372851490974426,
-0.6004515886306763,
-0.019969269633293152,
-0.43170279264450073,
0.26427543163299... |
Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Input: television, bed, table, mini bar, couch, picture
Output: | name something that would be hard to steal from a hotel room | 3 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.41341260075569153,
0.6817214488983154,
-1.4732273817062378,
0.18874570727348328,
0.46306508779525757,
-0.42190223932266235,
-0.02576017752289772,
-0.04946083948016167,
0.06593452394008636,
-0.2903934121131897,
0.19445568323135376,
-0.22468337416648865,
-0.9800317287445068,
-0.20034959912... |
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.
GaAlAs lasers induce pulp mineralization by promoting reparative dentinogenesis. This study analyzed ... | 1 | 0 | NIv2 | task848_pubmedqa_classification | zs_opt | [
-0.24180786311626434,
0.08411651104688644,
-1.1113440990447998,
0.11813585460186005,
-0.14159514009952545,
-0.5760970711708069,
-0.04172513633966446,
1.4614239931106567,
0.05284009128808975,
0.42182546854019165,
-0.48947393894195557,
-0.20950430631637573,
0.13112755119800568,
-0.2221215665... |
Teacher: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution: لكن لو كانت الأسهم بإس... | المال الخاص بالتدريس | 2 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.11300567537546158,
0.245225727558136,
0.21484485268592834,
-1.2866696119308472,
-0.2909434139728546,
-0.2532958984375,
1.0197322368621826,
0.3543354272842407,
0.31379109621047974,
-0.6292316913604736,
0.1686418652534485,
0.49477505683898926,
-0.8024349212646484,
-0.5665128827095032,
0... |
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. 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... | [73, 28, 50] | 1 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.5167199373245239,
0.38957908749580383,
-0.22850888967514038,
-0.20185327529907227,
-0.20141658186912537,
0.2049257457256317,
1.000223159790039,
-0.14341814815998077,
0.15400956571102142,
0.42970937490463257,
-0.5864702463150024,
-0.3765087127685547,
-0.513643741607666,
-0.33535277843475... |
Instructions: 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 ... | Yes | 3 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.3826587200164795,
0.445049911737442,
-0.1440756767988205,
0.19812744855880737,
-0.5268744230270386,
-0.7876850962638855,
0.8263700008392334,
0.332849383354187,
-0.6161532402038574,
-0.6079258918762207,
-0.32770836353302,
-0.7572921514511108,
-0.7674797773361206,
0.1590367555618286,
0.7... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Question: A di... | psychology | 1 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.055038921535015106,
0.10536512732505798,
-0.26567718386650085,
0.10190170258283615,
0.07557263970375061,
-0.40871304273605347,
0.2683812975883484,
0.6391071081161499,
0.6362555623054504,
0.0011930771870538592,
-0.33509328961372375,
0.07000015676021576,
-0.15640774369239807,
-0.1185259222... |
Definition: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Input: Abstract: The CCP4 (Collaborative Computational Project, Number 4) software suite is a collection of programs and assoc... | yes | 2 | NIv2 | task1587_scifact_classification | zs_opt | [
-1.1850523948669434,
0.48427143692970276,
-0.6445374488830566,
0.34063151478767395,
0.5146915912628174,
-0.6603013277053833,
0.6378731727600098,
1.1329591274261475,
0.34523850679397583,
0.5797507762908936,
-0.036839939653873444,
-0.3167934715747833,
-0.2605176568031311,
0.1516374945640564,... |
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".
Example input: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ... | No | 3 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.838181734085083,
-0.4408637583255768,
-0.1936299204826355,
0.5041621923446655,
-0.1913883090019226,
-0.39018476009368896,
-0.004096232820302248,
0.4892921447753906,
-0.6483861207962036,
-0.3326282799243927,
-0.149846613407135,
1.0436055660247803,
-0.011997170746326447,
0.762804329395294... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
One example: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution is here: With economic growth, countries and societies e... | And we went into parenting expecting our lives to look like this. | 6 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-1.0442134141921997,
0.7173215746879578,
0.5954198837280273,
-0.06840537488460541,
-0.31009921431541443,
0.14032036066055298,
-0.08728758990764618,
1.3262066841125488,
-0.5165245532989502,
-0.29829180240631104,
-0.48505881428718567,
0.1492689549922943,
-0.5212463140487671,
-0.0624856203794... |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Example Input: इसी लक्ष्य को ध्यान में रखते हुए आयुष्मान भारत योजना के तहत ealth and wellness entre बनाने का काम तेज गति से चल रहा है।
Example Output: हे उद... | खत खरेदी असेल, बियाणे खरेदी असेल, विजेचे बिल भरायचे असेल, कीटकनाशके खरेदी करायची असतील, अशी अनेक कामे ते या पैशातून करू शकतील.
| 3 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.25177377462387085,
0.7797276377677917,
-0.4099695086479187,
-0.4589363932609558,
-0.07752134650945663,
-0.5463598966598511,
0.21520128846168518,
0.9222323894500732,
-0.1553117334842682,
-0.17508438229560852,
-0.19094449281692505,
0.5571858286857605,
-0.3138498365879059,
-0.04615094512701... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants, and we ask you to translate those to the Chinese language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and f... | 我想知道 "dunkin donuts" 的位置在哪里？ | 1 | NIv2 | task253_spl_translation_en_zh | fs_opt | [
-0.16356733441352844,
0.7268250584602356,
-0.29813095927238464,
-0.1155623197555542,
0.10317492485046387,
0.26739466190338135,
0.43078580498695374,
0.7146552205085754,
-0.5317683815956116,
-0.5728974342346191,
0.20339272916316986,
0.44570809602737427,
0.21162067353725433,
0.223523527383804... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Idiotest (a portmanteau of ``idiot'' and ``test'' and stylized as Id!otest) is an American television game show broadcast by Game Show... | Which channel broadcast Idiotest? | 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.8524735569953918,
0.6617640256881714,
0.7046933174133301,
-1.0511674880981445,
-0.30748820304870605,
0.0565374493598938,
1.0207749605178833,
0.20062369108200073,
0.14428354799747467,
-0.44852474331855774,
-1.1679205894470215,
-0.16175414621829987,
-1.205685019493103,
-0.4822633564472198... |
Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: Recent psychopharmacological studies lend support to the notion of partially dissociable neuronal systems dedicated to... | Scopolamine-induced cholinergic hypofunction selectively impaired the recognition accuracy of disgust and anger facial expressions. The effects of scopolamine on emotion-recognition are similar to those found in Huntington's disease patients. Furthermore, the impairments in anger and fear recognition previously observe... | 3 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.7738775014877319,
0.14373967051506042,
-0.052156515419483185,
-1.0588593482971191,
-0.453311562538147,
-0.3087082803249359,
0.9285274744033813,
0.33249396085739136,
0.576138973236084,
-0.4990297257900238,
-0.45059436559677124,
0.2643910348415375,
-0.9380044937133789,
0.3187277913093567,
... |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
スロベニアは、クロアチアをメンバーに加えるかどうかの議論で過去の国境問題に触れるのを妨げた。
answer:
Slovenia menghalangi keanggotaan Kroatia berbicara atas pers... | Pejabat sementara Presiden, Mahinda Rajapaksa, diharapkan bersaing ketat melawan mantan kepala militernya, Jenderal Sarath Fonseka; kedua kandidat berkata mereka mengharapkan kemenangan.
| 9 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
0.022216686978936195,
0.5569542646408081,
-0.5575098991394043,
-0.09136149287223816,
-0.358672559261322,
-0.23330271244049072,
1.2968807220458984,
0.5055938363075256,
-0.24909555912017822,
-0.1248149424791336,
-1.1049408912658691,
0.8996739387512207,
-1.192488670349121,
0.576539158821106,
... |
Part 1. Definition
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will... | 78304 | 7 | NIv2 | task1443_string_to_number | fs_opt | [
-0.09150108695030212,
1.1823375225067139,
-0.7560490369796753,
-0.8370707035064697,
-0.42859578132629395,
-0.06783444434404373,
1.1615782976150513,
-0.146026611328125,
0.07591582834720612,
-0.44579100608825684,
-0.8111003637313843,
0.46462997794151306,
-1.4010930061340332,
-0.5863087177276... |
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).
--------
Question: Adam found himself in a shocking situation.
Answer: male
Question: I made Nichelle feel disappointed.
Answer: female
Q... | male
| 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4255802035331726,
0.1381256878376007,
0.07737758755683899,
-1.2956516742706299,
-0.43947887420654297,
-0.5007357597351074,
0.6454954743385315,
0.16688655316829681,
0.8520219922065735,
0.4318975806236267,
-0.7671299576759338,
-0.4227444529533386,
-1.4151314496994019,
-0.5488581657409668,... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | No | 1 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.39385131001472473,
0.40322166681289673,
0.27995404601097107,
-0.3878818154335022,
-0.4180558919906616,
-0.7041800022125244,
1.3931938409805298,
0.13110636174678802,
-0.6524865627288818,
-0.6036790609359741,
-0.4733879268169403,
-0.6695759296417236,
-0.6468787789344788,
0.4887151718139648... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Example input: According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .
Example output: neutral
E... | negative | 3 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-0.5526959896087646,
-0.1718110293149948,
-0.10231723636388779,
-0.15709125995635986,
-0.04121243953704834,
0.578575849533081,
-0.15939119458198547,
0.6038653254508972,
0.22528040409088135,
0.24986112117767334,
-0.7013001441955566,
0.4342763423919678,
-0.24176457524299622,
-0.4786221683025... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 你很可能在一本书里 形成猴子。 | 9 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.00343061494641006,
-0.022715121507644653,
-0.1957261711359024,
0.08895757794380188,
0.05577406287193298,
-0.7159402966499329,
-0.0837327390909195,
0.9768224358558655,
-0.06252091377973557,
-0.14094780385494232,
-0.5054160356521606,
0.02603931352496147,
-0.16841010749340057,
-0.0093303192... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Q: ['i', 'Q... | 1, 4, 7, 8, 9, 10, 13, 15, 17, 18
****
| 4 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.12705379724502563,
-0.1278417855501175,
-0.4433708190917969,
-0.3919869065284729,
-0.04525488615036011,
-0.8616998195648193,
0.728003978729248,
0.5894331932067871,
-0.5730141401290894,
0.23231706023216248,
-0.3876217305660248,
-0.19903099536895752,
-0.7042977809906006,
0.113080471754074... |
Detailed Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Problem:Context : Donkey Xote is a 2007 Spanish-Italian 3D computer-animated children's adventure comedy film produced by ... | The Donkey Xote is based upon what? | 8 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.03218566253781319,
1.0811058282852173,
-0.6333268880844116,
-0.5577854514122009,
-0.5971500873565674,
-0.047137729823589325,
0.5325192809104919,
0.479952871799469,
-0.12755471467971802,
-1.0587002038955688,
0.36750930547714233,
0.363664835691452,
-0.6877515316009521,
-0.8490403294563293,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
One example: Agora, está ao lado, ou na miña casa.
Solution is here: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated as `house`.... | We offer them the chance to decline this great honor if they want to. | 6 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.43129247426986694,
1.1741952896118164,
0.06935636699199677,
-0.6504788398742676,
-0.006168964318931103,
-1.1793608665466309,
0.6124305129051208,
0.4451664984226227,
-0.08401063084602356,
-0.17795614898204803,
-0.15357688069343567,
0.6479483842849731,
-1.1039364337921143,
0.2705544233322... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
One example is below.
Q: La LGV est très rare en Europe.
A: LGV is very rare in ... | The reports and other scientific output of the Centre are available on the ECDC portal. | 9 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.9990777969360352,
0.43500837683677673,
-0.025898665189743042,
-0.3892262578010559,
0.012008529156446457,
-0.5177863240242004,
0.17775455117225647,
-0.1350974142551422,
0.18773284554481506,
-0.2305249571800232,
-0.08764094114303589,
0.44763827323913574,
-0.5274863243103027,
0.62373697757... |
instruction:
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
question:
Question: Milo is making a map for school. If he p... | Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate changes.
| 9 | NIv2 | task223_quartz_explanation_generation | fs_opt | [
0.22908708453178406,
0.301249623298645,
-0.19265839457511902,
-0.10497507452964783,
-0.19840475916862488,
-1.1155034303665161,
0.34988945722579956,
0.3265872299671173,
-0.5014798641204834,
-0.331026554107666,
-0.47126227617263794,
-0.3665089011192322,
-0.3294314742088318,
-0.21128194034099... |
Translate the given Spanish text to English
Ex Input:
no.
Ex Output:
No.
Ex Input:
Systems and methods are provided for generating subsequent encryption keys by a client device (131)as one of a plurality of client devices (131 -134) across a network (1 10).
Ex Output:
Se proporcionan sistemas y métodos para genera... | Método y aparato para el registro de estructuras ópticas difractivas.
| 1 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.3174174726009369,
0.09615661203861237,
-0.8641521334648132,
0.21696630120277405,
-0.3414342701435089,
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0.26470786333084106,
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0.1481868177652359,
-0.10986937582492828,
-0.157826155424118... |
You will be given a definition of a task first, then some input of the task.
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... | Good | 1 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.6898235082626343,
0.2189333438873291,
0.25242429971694946,
-0.22265249490737915,
-0.29653453826904297,
-0.8233401775360107,
0.10273996740579605,
0.3590999245643616,
-0.11671887338161469,
0.2392117977142334,
-0.4520196318626404,
0.13981297612190247,
-0.37444502115249634,
-0.4597836732864... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
One example is below.
Q: And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
A: و خورشید [نیز برای آنان نشانهای از قدرت ماست] که ... | پس عصایش را انداخت و ناگهان اژدهایی حقیقی نمایان شد، | 9 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.429606556892395,
1.186205506324768,
-0.525794267654419,
-0.5909948348999023,
-0.7598658204078674,
-1.0307352542877197,
0.41898590326309204,
0.4439091682434082,
0.48947495222091675,
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-0.2814566493034363,
0.6355255842208862,
-0.5181294679641724,
0.10290571302175522,
0... |
Part 1. Definition
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, 34, f, 931,... | k, E, T, r, 747, 9761, 7905, 4219, 1267, Y, X, 5773, 6551, u, d | 7 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.3386192321777344,
0.09641101956367493,
-0.443412721157074,
-0.5207313895225525,
-0.08747066557407379,
-0.0633106604218483,
0.7889286279678345,
0.30912429094314575,
-0.18094876408576965,
-0.1290116310119629,
-0.8172420263290405,
0.04036140441894531,
-0.12048280239105225,
-0.25078594684600... |
Given the task definition and input, reply with output. 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 the character. Your task is to return one of the emotions which ar... | content | 5 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.7549442648887634,
0.49300506711006165,
-0.0011827002745121717,
-0.35395562648773193,
-0.2832672894001007,
0.27077531814575195,
0.8792464733123779,
0.68863844871521,
0.1500847041606903,
-0.4985995292663574,
-0.33259743452072144,
-0.25353965163230896,
-0.7693352699279785,
-0.0468831025063... |
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.
[EX Q]: Text: i sent some message pranks to people from the library’s computer and was like “hey bitch y... | i laughed at a typo and all hells broke loose.
| 6 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
-0.13369852304458618,
0.3846878409385681,
-0.2034977376461029,
-0.41873377561569214,
0.5614463090896606,
-0.11666291952133179,
0.3919224739074707,
0.6343282461166382,
0.3993900716304779,
-0.3702291250228882,
0.021717356517910957,
0.1576347053050995,
-0.5739246606826782,
0.08816921710968018... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: They listen to his metaphors and analogies, and they start learning these little things that if they practice enough becomes the key to magic.
Output: | يستمعون للاستعارات والتشبيهات ، ويبدؤون في تعلم هذه الأشياء الصغيرة والتي إن تدربوا عليها بما يكفي تصبح مفتاح السحر. | 3 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.0637323409318924,
0.8761924505233765,
0.0058881426230072975,
-1.406642198562622,
-0.1769246608018875,
-0.07171604037284851,
1.2725286483764648,
-0.2662690579891205,
0.09092482179403305,
-0.17864511907100677,
-0.8030632734298706,
-0.4514482617378235,
-1.119980812072754,
0.054721549153327... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Q: What kind er why did the university eventually leave the conference?
A: | Why did the university eventually leave the conference? | 4 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.4416029453277588,
0.7843663692474365,
-0.22622928023338318,
-1.1033408641815186,
-0.9000223875045776,
-0.39978793263435364,
-0.5091192126274109,
0.34957003593444824,
0.7482643127441406,
-0.17007337510585785,
-0.2458624541759491,
0.43879708647727966,
-0.6859685182571411,
0.48518139123916... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | no | 4 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.4691312909126282,
0.42272573709487915,
0.5657564997673035,
0.2912798523902893,
0.20195408165454865,
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0.2878916561603546,
0.8551709651947021,
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-0.10688547044992447,
-0.5051257610321045,
-0.2730048596858978,
-0.9028499126434326,
-0.11361060291528702... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Do ficus religiosa L. bark extracts inhibit human rhinovirus and respiratory syncytial virus infection in vitro?
| 0 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.3931899070739746,
0.1320750117301941,
-0.8317979574203491,
0.03071298636496067,
0.2271381914615631,
-0.8630912899971008,
0.33401617407798767,
0.80903160572052,
-0.4472770094871521,
0.7372026443481445,
0.08791966736316681,
0.3884917199611664,
-0.6809825897216797,
0.6491082906723022,
-0.... |
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, Pers... | No | 1 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.4529934525489807,
0.045701853930950165,
0.12750709056854248,
0.38544610142707825,
-0.4726349711418152,
-0.46473824977874756,
0.9389771223068237,
0.5492900609970093,
-0.6070834398269653,
-0.13913244009017944,
-0.37545377016067505,
-0.4067413806915283,
-0.5235283970832825,
0.21410086750984... |
Q: 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.
20353
A: | Yes | 7 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.14937785267829895,
0.6316219568252563,
0.06859016418457031,
-0.2748000919818878,
-0.5703784227371216,
-0.3463049829006195,
0.6467952132225037,
0.6949234008789062,
0.2030375748872757,
0.25463998317718506,
-1.073796033859253,
-0.11492709815502167,
-0.4099658727645874,
-0.27765506505966187... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Ex Input:
On my honor.
Ex Output:
على شرفي
Ex Input:
Guess it's what they call a rehearsal.
Ex Output:
خمّن ماذا ، هذا ما يُسمونه التدريب
Ex Input:
Now I've heard of brides getting cold feet. But bridesmaids?
... | ،سمعتُ عن العرائس ذوي الأقدام الباردة لكن الوصيفاتَ؟
| 1 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.025612320750951767,
0.5495390892028809,
-0.03807332366704941,
-0.4194415807723999,
0.31197401881217957,
-0.2629958987236023,
0.898643434047699,
-0.28724247217178345,
0.33576175570487976,
-0.6170521974563599,
-0.8462622165679932,
-0.021174436435103416,
-0.49476301670074463,
0.259686231613... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
شنیده بود که همچو چیزهایی وجود دارند و حالا دیر یا زود،
A: | He had heard of such things, and now, sooner or later, | 7 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.4533042311668396,
0.9057098627090454,
-0.24917641282081604,
0.3356260359287262,
-0.9386234879493713,
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0.9706904292106628,
1.0894155502319336,
0.3937951326370239,
0.32677775621414185,
-0.5341875553131104,
0.2206629514694214,
-0.546259880065918,
0.21222856640815735,
0... |
Detailed Instructions: 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... | non-personal | 8 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.19228321313858032,
0.2752586007118225,
-0.32267290353775024,
0.559468150138855,
-0.6284249424934387,
-0.6248469948768616,
0.280131071805954,
0.018158335238695145,
0.39520928263664246,
-0.6871824860572815,
-0.41738682985305786,
-0.050987593829631805,
-0.5077457427978516,
-0.4267131686210... |
TASK DEFINITION: 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: 89. Modulation
SOLUTION: 89. Ukulingisa
PROBLEM: The introduction of economic methods for the liquefaction of natural gas has... | Umthwalo wezithuthi zomgca zonxweme zokuhamba komthwalo wezithuthi zenqanawa.
| 8 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.006528627127408981,
0.4696129262447357,
-0.04712025076150894,
-1.2629249095916748,
-0.7148481011390686,
-0.7322307825088501,
0.8027341365814209,
0.31903523206710815,
0.427645742893219,
-0.30637359619140625,
-0.3061411380767822,
-0.5855469703674316,
-0.430899977684021,
-0.172167867422103... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
One example is below.
Q: Then, the camel stops and the woman gets down from the camel.
A: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Ration... | One of them is slightly smaller than the other and he tends to play that one and only hitting the larger every couple of beats. | 9 | NIv2 | task455_swag_context_generation | fs_opt | [
0.6203228235244751,
0.8782727718353271,
-0.46005934476852417,
0.13427138328552246,
-0.5873347520828247,
-0.29465895891189575,
0.09304314106702805,
1.3523049354553223,
0.6318783760070801,
-0.02141745761036873,
-0.7723281383514404,
0.15461832284927368,
-0.18433363735675812,
0.205992192029953... |
TASK DEFINITION: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
PROBLEM: Context : Coração de Estudante (English: Student's Heart) is a Brazilian telenovela produced and broadcast by Rede Glob... | Player Christian Fischer played for which team?
| 8 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
-0.4364998936653137,
0.025924846529960632,
0.1471153348684311,
-0.945142924785614,
0.17439831793308258,
0.3475489914417267,
0.07381223142147064,
0.3301602005958557,
-0.13229483366012573,
-0.18023517727851868,
0.31363075971603394,
0.1525631844997406,
-0.8273800015449524,
-0.0420309528708457... |
Given the task definition and input, reply with output. A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
ଡ଼ିଏସଏଫ ନିଲାମୀ ରାଉଣ୍ଡ୍ 2016 ରେ ମୋଟ 31 ଟି ଚୁକ୍ତିନାମା 46,400 କୋଟି ଟଙ୍କା ରାଜସ୍ୱ ସଂଗୃହୀତ ହେବାର ଆକଳନ: ସରକା... | சம்பாரண் சத்தியாகிரஹத்தின் வாயிலாக காந்தியடிகளின் ஒருங்கிணைப்புத் திறன், பாரத சமுதாயத்தின் நாடித் துடிப்பைத் தெரிந்து கொள்ளும் ஆற்றல், மிகவும் ஏழைகளாகவும், படிப்பறிவில்லாதவர்களாகவும் இருந்த மக்களை ஆங்கிலேயர்களுக்கு எதிராக உத்வேகப்படுத்தும் சக்தி, போராட்டக் களத்துக்கு அவர்களை வரவழைப்பது ஆகியவை மூலமாக ஒரு அற்புதமான வல்லம... | 5 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
-0.857944905757904,
0.9382803440093994,
0.2924571931362152,
-0.008109123446047306,
0.4161110520362854,
0.2303791046142578,
0.2890079617500305,
0.1207786500453949,
-0.14393123984336853,
0.3846822679042816,
-0.001899037160910666,
0.2648020088672638,
-0.60097736120224,
-0.2808663249015808,
... |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
PROBLEM: نحن نترقب ظهور السيارة نسخة ٢.٠ — سوق جديد بالكامل ، نموذج جديد بالكامل للعمل.
SOLUTION: Estamos a assistir ao nascimento do carro 2.0 — todo um novo mercado, um novo modelo de negócio.
PROBLEM: ... | Parece uma loucura total.
| 8 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.2805968225002289,
0.8083456754684448,
0.3218793272972107,
-0.3013578951358795,
-0.9100930690765381,
0.24774156510829926,
0.3733900785446167,
0.7437822818756104,
0.545644223690033,
0.12786740064620972,
-0.6877143383026123,
0.1087489202618599,
-0.6708667278289795,
0.2231161743402481,
0.... |
You will be given a definition of a task first, then some input of the task.
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of ... | We always serve black beans, but lately, people have been asking for lima or kidney. I said I would make the _ beans because of their shape. | 1 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.6157550811767578,
0.26122361421585083,
0.4224205017089844,
0.27452123165130615,
0.47917354106903076,
-0.7060387134552002,
0.5312546491622925,
1.2148395776748657,
-0.3665808141231537,
-0.5188679695129395,
-0.47852379083633423,
0.11983416974544525,
-0.26294460892677307,
0.1107124537229538,... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Consider Input: The funding has yet to be approved by the Senate.
Ou... | Output: आज HMCS यॉर्क के नौसैनिक, RCSCC 18 वैनगार्ड के कैडेट, NLCC आर्क रॉयल के नेवी लीग कैडेट और 618 क्वीन सिटी स्क्वाड्रन के एयर कैडेट ने मार्च किया, हालांकि डाउनटाउन टोरंटो में ड्रम बजाने, रंग उड़ाने और गर्व से राइफलों के प्रदर्शन का आयोजन किया गया।
| 2 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.6715074777603149,
-0.33674395084381104,
-0.03833413124084473,
-0.3514997959136963,
0.28786009550094604,
-0.8868563175201416,
0.2609139084815979,
0.13936887681484222,
0.36218899488449097,
-0.22446633875370026,
-0.5226078033447266,
0.5489964485168457,
-0.9498940110206604,
0.225812435150146... |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Q: Television Hisense – 60″ Class ...
A: | టెలివిజన్ Hisense? - 60 "క్లాస్ ... | 9 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.44479900598526,
-0.03771013021469116,
0.6292101144790649,
-0.09427422285079956,
0.5064550042152405,
-0.8751746416091919,
0.00861706119030714,
-0.08607438206672668,
0.23293659090995789,
-0.870765209197998,
0.5960201025009155,
-0.0346093475818634,
-1.0707818269729614,
0.07818423211574554,
... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
تلفن از یونانی tele دور و phone آوا، از دستگاههای مخابراتی است که برای انتقال صد... | True | 0 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.16865235567092896,
0.7869495749473572,
-0.41955000162124634,
0.34573787450790405,
0.12931156158447266,
-0.2143019586801529,
0.8468838334083557,
-0.19276700913906097,
-0.05444050580263138,
0.3737346827983856,
-1.4727061986923218,
1.3259649276733398,
-0.7075760364532471,
0.247258737683296... |
Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that... | Do cardiomyocytes derived from embryonic stem cells resemble cardiomyocytes of the embryonic heart tube? | 3 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
1.2230345010757446,
-0.2366243153810501,
-0.39783763885498047,
0.08163502812385559,
0.6100823283195496,
-0.6556745171546936,
0.732757568359375,
0.9507436752319336,
0.14741116762161255,
0.5033895969390869,
-0.6080557107925415,
0.08820364624261856,
-0.8077191114425659,
0.15166902542114258,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Die Freund... | B | 1 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | zs_opt | [
0.2871522307395935,
0.7034322023391724,
-0.526469349861145,
-0.2627416253089905,
-0.2929619550704956,
-0.34152525663375854,
1.2235069274902344,
0.23813310265541077,
0.629938006401062,
-0.13243669271469116,
0.4675373136997223,
0.2670741379261017,
-0.3403889536857605,
-0.5324701070785522,
... |
TASK DEFINITION: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reaso... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_P... | 8 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.46178823709487915,
0.07458478957414627,
-0.19138485193252563,
0.0660565197467804,
0.4074552655220032,
0.13688746094703674,
1.278325080871582,
1.2128872871398926,
-0.4390585422515869,
0.34789547324180603,
-0.1283959150314331,
0.07584470510482788,
-0.7172157764434814,
0.3154275417327881,
... |
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 Japanese. Your job is to translate the Japanese sentence into Portugese.
このアイデアはとてもシンプルで
Solution: A ideia é muito, muito simples.
Why? The Japanese sentence is correctly... | Quando sentimos inveja [ou ciúme], contamos uma história a nós próprios. | 0 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.5809036493301392,
0.5989611148834229,
0.4710961580276489,
-0.7740346193313599,
-0.4849655032157898,
-0.5179842710494995,
0.6493738889694214,
0.5282108783721924,
0.29858627915382385,
-0.36379703879356384,
-0.5895810127258301,
-0.24439187347888947,
-0.7858495712280273,
0.24567410349845886... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Problem:मैं उससे मिलूंगी
Solution: | When I see her ... | 8 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.28857356309890747,
0.4922507405281067,
0.19422096014022827,
0.44562286138534546,
-0.20580832660198212,
-0.9306820631027222,
0.2566363215446472,
-0.10584983974695206,
0.0518239326775074,
-0.26180389523506165,
-0.514633059501648,
0.30666738748550415,
-0.44186002016067505,
0.576018035411834... |
Teacher:Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Teacher: Now, understand the problem? Solve this instance: 她被他吸引住了，并试图引诱他进入性关系，但是哈万特·辛格在思想上有宗教信仰并没有去乱伦。
Student: | 她越来越多地被他吸引并试图引诱他进入性关系，但是Hanuvant Singh在思想上是宗教信仰并且没有去乱伦。 | 6 | NIv2 | task775_pawsx_chinese_text_modification | zs_opt | [
-0.3451840877532959,
0.34660160541534424,
0.30113473534584045,
-0.6058984398841858,
-0.3191753625869751,
-0.6031047701835632,
0.6524558067321777,
-0.6792151927947998,
-0.24282684922218323,
-0.29341626167297363,
0.11445364356040955,
-0.009893556125462055,
-0.4339771270751953,
-0.50449174642... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Let me give you an example: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
The answer to this example ... | 35 | 8 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.610642671585083,
0.4031827747821808,
-0.9744532108306885,
-0.7156423330307007,
0.17253674566745758,
0.17998579144477844,
-0.6347194910049438,
0.9400639533996582,
0.1683838665485382,
0.03354895859956741,
-0.09917420148849487,
0.15509608387947083,
0.055820927023887634,
-0.3377343714237213,... |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Solution: אתם רואים ... | מידי פעם חולקו פרסים, כמו זה שהוענק לג 'ון הריסון במאה ה-18, על כך שפתר את מה שכונה "" בעיית המרחק "", אבל הפרסים ניתנו רק בדיעבד, אם בכלל. | 2 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.3751091957092285,
0.47150683403015137,
0.2637317180633545,
-0.05782896280288696,
-0.6547973155975342,
-0.7292019128799438,
0.4368177652359009,
0.020876366645097733,
0.43177127838134766,
-0.1439102590084076,
-0.6387404203414917,
0.8414360284805298,
-1.0890004634857178,
-0.191517144441604... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | The man is throwing something. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.06231772527098656,
0.842820405960083,
0.7208737134933472,
-0.9334821701049805,
0.2751397490501404,
-0.4703482687473297,
-0.6573354005813599,
0.6961476802825928,
0.15208441019058228,
-0.3362204432487488,
-0.7122163772583008,
-0.4281246066093445,
-0.5733388662338257,
-0.14632518589496613,... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | After looking at the extensions PersonX helps PersonY because _ knew you can damage the hair. | 4 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.6027849912643433,
0.235454723238945,
0.09543748944997787,
0.2661494314670563,
0.1274096816778183,
-0.5952169895172119,
0.8946950435638428,
0.9911482930183411,
-0.22498300671577454,
-0.5788483619689941,
-0.11441616714000702,
-0.09761124104261398,
-0.44748377799987793,
0.000062421429902315... |
Instructions: 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 ... | I_JUMP I_JUMP I_JUMP I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
-0.030568193644285202,
0.6754388809204102,
-0.461555540561676,
0.15774445235729218,
0.11961790174245834,
-0.0597560778260231,
0.1240931823849678,
0.29737627506256104,
-0.3498358428478241,
-0.09354812651872635,
-0.8579906225204468,
-0.22827944159507751,
-0.6729013323783875,
-0.2736171483993... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
آلک گفت که او چندین زن را دیده و شماره تلفن به آنها داده.
| Alec said he saw several women give their phone numbers to him. | 5 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.7265557050704956,
1.0225942134857178,
0.056348588317632675,
-0.2195410579442978,
-1.0176852941513062,
0.3176313042640686,
1.0404746532440186,
-0.13998395204544067,
0.6073125600814819,
-0.18839909136295319,
-0.5115499496459961,
0.6581515073776245,
-0.5959491729736328,
0.7317162156105042,... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Input: Consider Input: Sharks can have from five to _ gills.
Output: seven
Input: Consider Input: Aspiny neurons are of _ sizes.
Output: two
Input: Consider Input: Conifer seeds are very complex struc... | Output: three
| 2 | NIv2 | task672_nummersense | fs_opt | [
0.0072924611158668995,
0.18631187081336975,
0.13136151432991028,
-0.5175234079360962,
-0.17638739943504333,
-0.4284885823726654,
0.3886716067790985,
-0.0307200625538826,
0.43474262952804565,
-0.6839821934700012,
0.6485754251480103,
0.6497487425804138,
-1.3603395223617554,
0.355519711971282... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
0.12806642055511475,
0.01092805340886116,
0.2144111841917038,
-0.23889142274856567,
-0.6036131978034973,
-0.9981025457382202,
1.531846284866333,
0.10497424751520157,
-0.5083901882171631,
-0.3626592457294464,
-0.3808130621910095,
-0.17375710606575012,
-0.5238503813743591,
0.6771438121795654... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the ... | [11] | 5 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.7093876600265503,
0.47830307483673096,
-0.0035959144588559866,
-0.18756863474845886,
-0.16834577918052673,
-0.15094326436519623,
0.48293593525886536,
-0.18483056128025055,
-0.7180773019790649,
0.07251238077878952,
-0.7123188972473145,
0.17022234201431274,
-0.21824568510055542,
-0.067247... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Bezustanne nękanie Hazarów i akcje wymierzone przeciwko nim zmusiły moich rodziców do opuszczenia Afganistanu. | آزار و اذیت علیه مردم هزاره پدر و مادر مرا وادار کرد که افغانستان را ترک کنند. | 0 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.16612452268600464,
0.0094942357391119,
-0.449527382850647,
-0.3385075032711029,
-0.6655024886131287,
-0.38871121406555176,
1.3090415000915527,
0.04884275421500206,
0.5364219546318054,
-0.09701915085315704,
-0.7169973850250244,
-0.15790051221847534,
-1.1409220695495605,
0.078472219407558... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
و اینها مردمانی هستند که شاید در غیر اینصورت در چادری در اردوگاه پناهندگان در اردن ننشیند.
| Te osoby mogą nigdy nie doświadczyć siedzenia w namiocie, w obozie uchodźców w Jordanii. | 5 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.6343791484832764,
1.2426226139068604,
-0.44832515716552734,
0.0691414475440979,
-1.4133535623550415,
0.1317746341228485,
1.1436495780944824,
-0.08266256749629974,
0.3747745156288147,
-0.5735752582550049,
-0.8450623750686646,
0.6564338803291321,
-0.825278639793396,
0.35970503091812134,
... |
Teacher:In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" ... | Changed | 6 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.268334150314331,
0.8916261196136475,
0.4141000509262085,
-0.5998921394348145,
-0.19385027885437012,
-0.1294899433851242,
0.3934474587440491,
0.7375208735466003,
-0.05749078094959259,
-0.5887752175331116,
-0.5908858180046082,
-0.28658175468444824,
-0.7970492839813232,
-0.1952946186065673... |
Q: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
christopher walken
A: | Christopher Walken won the best supporting actor Oscar in 1979 for his role in which film? | 7 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
-0.33996671438217163,
0.5812023878097534,
-1.3604646921157837,
0.07389482855796814,
0.239628404378891,
-0.10749861598014832,
0.37360087037086487,
-0.4763089418411255,
0.5668606758117676,
-0.6314680576324463,
-0.09115415811538696,
-0.23470738530158997,
-1.0207312107086182,
-0.41054764389991... |
Detailed Instructions: 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.
See one example below:
Problem: Amsterdam_Airport_... | In Indiana, the language spoken is American English. | 4 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.9982244968414307,
0.5000077486038208,
0.04538904130458832,
-0.7041022777557373,
-0.5575364232063293,
0.028433769941329956,
0.9429060816764832,
-0.10268275439739227,
-0.2278544008731842,
-0.2580605745315552,
-0.4407796561717987,
0.643713653087616,
-0.0691463053226471,
-0.1725004613399505... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c... | The man in the red shorts is a champion kickboxer.
| 7 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.41062790155410767,
0.38377198576927185,
0.453746497631073,
-0.6399905681610107,
-0.16888192296028137,
-0.4266449809074402,
-0.07820861041545868,
1.0634887218475342,
0.2850508689880371,
-0.6117799282073975,
-0.9631106853485107,
-0.7110239863395691,
-0.5971904397010803,
-0.295313656330108... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | Completion D | 0 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
0.12071871012449265,
0.4551156759262085,
-0.6695030927658081,
-0.7375967502593994,
-0.7546731233596802,
-0.372648686170578,
0.7520538568496704,
0.499074786901474,
0.3713265657424927,
-0.4463977813720703,
-0.7559736371040344,
-0.3824073076248169,
0.5384267568588257,
0.07465142011642456,
-... |
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