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 |
|---|---|---|---|---|---|---|
Q: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as f... | Their hair was out of control . | 7 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.6090954542160034,
0.09923757612705231,
-0.559535801410675,
0.5194052457809448,
0.1178634911775589,
-0.9533976316452026,
0.6653317809104919,
0.6742130517959595,
-0.3398475646972656,
0.06824302673339844,
0.12208178639411926,
0.08464943617582321,
-0.3579559624195099,
-0.24512812495231628,
... |
Detailed Instructions: 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
... | select the rows whose college record fuzzily matches to houston . there is only one such row in the table . the name record of this unqiue row is jimmy herndon . | 4 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.4528466761112213,
-0.24406421184539795,
-0.2812962532043457,
0.2066907435655594,
0.17176692187786102,
-0.48071417212486267,
0.19913829863071442,
0.5938411355018616,
0.12818914651870728,
-0.1621498167514801,
-0.590377926826477,
0.25841134786605835,
0.14730718731880188,
0.4128771722316742,... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Ex Input:
No siempre nos resultan favorables.
Ex Output:
Spanish
Ex Input:
All... | Spanish
| 1 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.17116627097129822,
1.0397026538848877,
0.5500376224517822,
-0.0046304455026984215,
-0.2436113953590393,
-0.7408804297447205,
-0.035346947610378265,
0.9196311831474304,
0.08332965523004532,
0.027256863191723824,
-0.24024999141693115,
0.08245767652988434,
-0.05254938080906868,
-0.14115105... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Problem:יתכן והם גאונים, אך לא אנליטיים, "" וכאשר מושגים אלה עומדים בבסיס ההוראה שלנו ואופן החשיבה שלנו על העולם, אז אנו בבעיה, מפני שאנו פוגעים ביסודות של הכול.
Solution: | إنهم ربما بارعون ، لكنهم ليسوا محللين. "" و وعندما تشكل هذه المفاهيم تعليمنا ، وما نفكر به في العالم ، عندئذ لدينا مشكلة ، لأننا نحبط دعمنا لكل شئ. | 8 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.7034016847610474,
0.8478387594223022,
0.37863627076148987,
-0.577991247177124,
-0.6252686977386475,
-0.9488223195075989,
0.2296304702758789,
-0.43214941024780273,
0.2787479758262634,
-0.5985276699066162,
-0.9524154663085938,
0.10609844326972961,
-0.5471400618553162,
-0.6510912775993347,... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
[Q]: This is a watch we made for Mini Cooper, the car company, right when it launched, and it's the first watch that has a display that switches from horizontal to vertical.
[A]: To jest zegarek, który zrobiliśmy dla koncer... | Oszczędzę wam szczegółów.
| 5 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.6060030460357666,
0.866648256778717,
-0.06099602207541466,
0.15323424339294434,
-0.3223839998245239,
-0.538693368434906,
0.2138543277978897,
0.23374657332897186,
1.4201643466949463,
-0.22891896963119507,
0.8742327094078064,
0.4819391667842865,
-0.036738671362400055,
0.19782963395118713,... |
TASK DEFINITION: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an... | True
| 8 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.08803176134824753,
0.36913001537323,
0.18937890231609344,
-0.49127596616744995,
0.3614254593849182,
-0.06986069679260254,
0.22881168127059937,
0.5343755483627319,
0.07246986031532288,
-0.4024404287338257,
-0.04517997056245804,
0.5823982357978821,
-0.8098062872886658,
-0.0836465805768966... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Ex Input:
Mas temos pensado, enquanto raça humana, sobre como era o universo, porque veio a ser aquilo que é por muito, muitos anos.
Ex Output:
Ma, come razza umana, pensiamo a come fosse l'universo, e perché per mo... | O imparare a cucinare dallo chef di un ristorante a cinque stelle?
| 1 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.6130019426345825,
0.8168544769287109,
-0.1330282986164093,
0.2798425555229187,
-0.7617796063423157,
-1.3699920177459717,
0.25165021419525146,
0.7612882852554321,
0.4029165506362915,
-0.22949837148189545,
-0.2430834174156189,
0.3651566803455353,
-0.45520317554473877,
0.14972683787345886,... |
Given the task definition and input, reply with output. In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. Th... | The truce , the latest of several , was agreed in talks on Thursday between Russian <B-MISC> peacemaker Alexander <B-PER> Lebed <I-PER> and rebel chief-of-staff Aslan <B-PER> Maskhadov <I-PER> . | 5 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.24555841088294983,
0.5636178851127625,
0.03195684030652046,
-0.09822501242160797,
-0.3219688832759857,
0.7028509378433228,
0.8112196922302246,
0.12004979699850082,
-0.15718361735343933,
-0.20675934851169586,
-0.9474133253097534,
0.009375029243528843,
-0.0366494283080101,
0.4551362395286... |
Definition: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Input: Text: so last night my gf and i invited a friend couple over for some drinks and some ... | fucked my gfs best friend after a night of drinking and sexy drinking games while she was a sleep in the bedroom and her husband was passed out on the couch; and she wants to break up. | 2 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
-0.1413486897945404,
0.611151933670044,
-0.45131370425224304,
-0.8095680475234985,
-0.1336081624031067,
-0.14265546202659607,
0.6264654397964478,
0.6723965406417847,
-0.12060277163982391,
-0.11972856521606445,
-0.504272997379303,
0.11238886415958405,
-0.29160553216934204,
-0.28014302253723... |
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 | [
-0.27569645643234253,
1.1183695793151855,
-0.6648570895195007,
-0.014141920953989029,
-0.9854006171226501,
0.5245420932769775,
1.368325114250183,
1.0521146059036255,
0.04404345154762268,
-0.2790217399597168,
-0.5913888216018677,
-0.3201661705970764,
-0.5411199927330017,
-0.0074452217668294... |
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 Joseph returned into Egypt, he, and his brethren, and all that went up with him to bury his father, after he had buried his f... | پس نزد یوسف فرستاده، گفتند: «پدر تو قبل از مردنش امرفرموده، گفت: | 1 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.385281503200531,
0.7659472227096558,
-0.5408358573913574,
-0.246056467294693,
-0.6608753204345703,
0.43662044405937195,
1.1725789308547974,
0.44111382961273193,
0.22887887060642242,
0.4997900426387787,
-0.5608054399490356,
0.8444823026657104,
-0.49621766805648804,
-0.24394118785858154,
... |
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 .
Example input: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ.... | ಕೀನ್ಯಾ | 3 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.5059924125671387,
0.21846917271614075,
-0.9350988864898682,
-0.48948508501052856,
-0.03992604464292526,
-0.3074086308479309,
-0.4121239483356476,
-0.2964397966861725,
-0.1271122843027115,
0.04297487065196037,
-0.09643882513046265,
0.25481683015823364,
0.030783873051404953,
-0.35181361436... |
Teacher: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the ... | look around left twice and jump right | 2 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.34860315918922424,
0.5576156377792358,
-0.4487743675708771,
-0.21289056539535522,
-0.01998593658208847,
0.12129345536231995,
0.1675998866558075,
0.9053630828857422,
-0.19543075561523438,
-0.3495500683784485,
-0.7867658138275146,
-0.3460671007633209,
-0.7453817129135132,
-0.08988798409700... |
TASK DEFINITION: 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 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not ... | [-362, -274, 342, -22.5]
| 8 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.3900367021560669,
0.22050687670707703,
-0.36696505546569824,
-0.37580379843711853,
0.0800500139594078,
0.2714383006095886,
1.485336422920227,
0.1299206018447876,
-0.30742841958999634,
0.25878822803497314,
-0.7474094033241272,
-0.596108615398407,
-0.3902396559715271,
-0.07681149989366531... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "m... | Who is visiting the woman for the weekend? (A) Her brother. (B) Her student. (C) Her teacher. | 3 | NIv2 | task246_dream_question_generation | fs_opt | [
0.31086301803588867,
-0.16270871460437775,
-0.6944336295127869,
0.23273488879203796,
0.41557908058166504,
-0.43266981840133667,
0.7874165177345276,
0.6730918884277344,
-0.07680069655179977,
0.2648687958717346,
-0.4154065251350403,
-0.24321356415748596,
0.5183772444725037,
0.072742208838462... |
Teacher: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Paragraph: Many of the worlds people live with water scarci... | decrease | 2 | NIv2 | task1731_quartz_question_answering | fs_opt | [
-0.0670197606086731,
0.36012691259384155,
0.11345508694648743,
-0.4489997327327728,
0.054143816232681274,
-1.050735354423523,
0.10072359442710876,
0.8778704404830933,
-0.4305632710456848,
0.05671332776546478,
-0.26064199209213257,
0.09692678600549698,
-1.2500579357147217,
-0.58310914039611... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Reason: The Spanish sentence ... | Ma i designer sono davvero la colla che tiene queste cose insieme. | 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.28858500719070435,
0.45825761556625366,
-0.6718194484710693,
-0.2763909101486206,
-1.0252182483673096,
-0.9509625434875488,
0.0003567434614524245,
1.0089117288589478,
-0.07518933713436127,
-0.352110892534256,
-0.3149564266204834,
0.37352895736694336,
-0.3684171140193939,
0.6261504292488... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Example: מונטריי היא אחת מהם.
Example solution: Monterey is one of those.
Example explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.
Problem: אני רוצה להצ... | Solution: I'd like to play you some voices of little girls from the two-and-a-half years of research that we did — actually, some of the voices are more recent. | 5 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
0.04076395928859711,
0.6389451026916504,
0.3162575960159302,
-0.2264585793018341,
-0.3502483665943146,
-0.8790695667266846,
0.28320610523223877,
0.238678976893425,
1.0634500980377197,
-0.4484325051307678,
-0.4676433205604553,
0.2976403832435608,
-0.9058822393417358,
0.08129940927028656,
... |
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 need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary sh... | Diplodocus v blue whale: How they stack up in numbers | 0 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.6777994632720947,
0.671926736831665,
0.15704986453056335,
-0.1320592314004898,
-0.37298351526260376,
0.14063143730163574,
-0.21150341629981995,
0.6385738849639893,
-0.09232357889413834,
0.4852484166622162,
-0.6758801341056824,
0.05668246001005173,
-0.5091395378112793,
0.3332937955856323... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Example: When ventricles systole, blood flows to the pulmonary artery or the greater aorta.
Example solution: කෝෂිකා ඉහිල්වන විට, ධමනියේ සිට කෝෂිකාව වෙත රුධිරය නරවත ගලයි.
Example explanation: The translation from... | Solution: ජීවිතාරක්ෂක කන්ඩායම් විවිධ වර්ගවල සහ කොන්දේසි වල පිහිනන්නන් සොයයි; ජලයෙන් පිරි ගිනිවිලෙන් වැසී ගිය, ජලයෙන් යට වී ඇති හෝ වෙනත් ආකාරයකින් ජලයෙන් තොරව පවතී. | 5 | NIv2 | task604_flores_translation_entosn | fs_opt | [
-0.40641364455223083,
0.6682547926902771,
0.23074200749397278,
-0.2886243462562561,
-0.2910165786743164,
-0.6251137256622314,
0.16844582557678223,
0.22735470533370972,
0.00817466713488102,
0.23643872141838074,
0.7173913717269897,
-0.34074145555496216,
-0.4211618900299072,
0.398260056972503... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The plan for a heist fell apart once the truck arrived because the _ was functioning. | 0 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6255425214767456,
0.2666108012199402,
0.19394512474536896,
-0.14245404303073883,
0.5848221182823181,
-0.7335450649261475,
0.8313180208206177,
1.1439803838729858,
-0.7335046529769897,
-0.2946418821811676,
-0.5984786152839661,
0.17865687608718872,
-0.5088565945625305,
0.059429608285427094,... |
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
Q: John Wayne Airport (IATA: SNA, ICAO: KSNA, FAA LID: SNA) is an international airport in Orange County, California, United States, with its mailing address in the city of Santa Ana, hence the IAT... | is santa ana the same as john wayne airport? | 4 | NIv2 | task381_boolq_question_generation | zs_opt | [
0.3129687011241913,
0.8078276515007019,
-0.1375117301940918,
-0.19905567169189453,
0.3461305499076843,
-0.08251657336950302,
0.05077950656414032,
1.1217918395996094,
0.06153978407382965,
0.5602633357048035,
0.7117100358009338,
0.17069855332374573,
-0.27827560901641846,
-0.47870394587516785... |
In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
Q: گیاهان دارویی شامل بخشهایی از گیاه است که پس از خشکاندن، بدون ایجاد هرگونه تغییری در مغازهها و عطاریها به فروش می... | در عطاری چه چیزهایی وجود دارد؟ | 4 | NIv2 | task468_parsinlu_rc_question_generation | zs_opt | [
0.22710177302360535,
1.0270371437072754,
-0.42202866077423096,
-0.4077523946762085,
-0.5413708686828613,
-0.6449806094169617,
1.487572431564331,
0.6220342516899109,
0.08884532749652863,
-0.21292640268802643,
-1.1570590734481812,
0.6485408544540405,
-0.3807741403579712,
0.4041156470775604,
... |
You will be given a definition of a task first, then some input of the task.
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^... | Pa, ne možete ići puno više nego što je Pi, matematička konstanta. | 1 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.4259459376335144,
0.7870692610740662,
-0.29466503858566284,
0.2757592797279358,
0.1439351737499237,
-1.132178783416748,
0.621826171875,
0.29881948232650757,
0.2643721103668213,
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-0.14596082270145416,
-0.0007802147301845253,
-0.242257222533226,
0.10814722627401352,
... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sent... | The apple pie turned out perfect. She used just the right amount of butter. The apple pie ended up being delicious, and the shell held very well. | 9 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.3058891296386719,
-0.07754959911108017,
-0.049633197486400604,
-0.10984455794095993,
-0.22821958363056183,
-1.2281279563903809,
0.360521137714386,
0.5357814431190491,
-0.7019166946411133,
0.14714542031288147,
-0.6071212887763977,
-0.825408935546875,
0.09483198076486588,
0.001328046200796... |
Given the task definition, example input & output, solve the new input case.
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 eleme... | 5, 7, 9, 10, 11, 12, 14, 17, 18, 19, 21, 24, 25, 26, 27, 31, 34, 39 | 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.1469566822052002,
-0.0509820282459259,
-0.41485899686813354,
0.08785559237003326,
0.4689745306968689,
-0.34598541259765625,
0.16425098478794098,
0.6430831551551819,
-0.5085586309432983,
-0.042788684368133545,
-0.6322200298309326,
-0.14657264947891235,
0.4737529158592224,
-0.0973541140556... |
Given the task definition and input, reply with output. Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
- न क्यों, भारी है, ले जाने सकोगी?
| - It's too heavy for you. | 5 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.325271338224411,
1.1096727848052979,
0.8759483098983765,
-0.13491174578666687,
0.028415225446224213,
-0.46715909242630005,
0.24724404513835907,
0.8085548877716064,
-0.23861530423164368,
0.0572049506008625,
-0.22476491332054138,
0.6726906299591064,
-0.32236891984939575,
0.0212677251547575... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural languag... | only { filter_eq { all_rows ; surface ; hard ( i ) } } | 1 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.3013426661491394,
0.016273684799671173,
-0.3692384362220764,
0.6642332077026367,
0.26516711711883545,
-0.24153199791908264,
0.4764310121536255,
0.5030784606933594,
0.18843849003314972,
-0.2301086038351059,
-0.33044886589050293,
-0.038512662053108215,
-0.30113184452056885,
0.4647867381572... |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Q: Hilary needed a ... | Answerable
****
| 4 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
0.03009883128106594,
-0.22036632895469666,
0.7424593567848206,
0.271620512008667,
-0.04785185307264328,
-0.8876819610595703,
-0.3023895025253296,
0.12984877824783325,
-0.0009571905247867107,
0.4957600235939026,
-0.42682749032974243,
0.25028765201568604,
-0.20471681654453278,
-0.33102220296... |
Q: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What releva... | True | 7 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.01285952515900135,
0.19826963543891907,
-0.06457586586475372,
0.06488919258117676,
-0.23954278230667114,
0.11525288224220276,
0.7000402212142944,
1.0987085103988647,
0.0065888334065675735,
0.3704904317855835,
-1.2350184917449951,
0.2663944363594055,
-0.43657201528549194,
0.2730599045753... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: మేము కాసేపు విడిపోయారు చూడాలి మేము తీరంలో పొందినప్పుడు, ... | When we get ashore, we gotta split up for a while. | 6 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.0775325745344162,
0.9490599632263184,
0.5476987957954407,
-0.3284745216369629,
0.31232625246047974,
-1.0214529037475586,
0.3318520784378052,
0.07464414834976196,
-0.06431494653224945,
-0.09050880372524261,
0.5236253142356873,
-0.1917812079191208,
-0.8067640066146851,
0.09281573444604874... |
Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: I have read so many of her books they all start with the same plot and ... | Bad review | 3 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.6365095376968384,
0.33337101340293884,
-0.012402808293700218,
-0.5636088848114014,
0.25439226627349854,
-0.36740317940711975,
0.6754472851753235,
0.08350428938865662,
-0.07522507756948471,
0.1856694519519806,
-0.07799241691827774,
0.028535164892673492,
-0.4538863003253937,
-0.0521013066... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do ... | The button took a few minutes to secure. | 9 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.6689177751541138,
0.6215780973434448,
-0.49435850977897644,
0.475399911403656,
0.01483871415257454,
-0.4193616807460785,
0.4432741403579712,
0.986109733581543,
-0.632187008857727,
0.3654208779335022,
-0.6348984241485596,
-0.6337932348251343,
-0.34482860565185547,
0.390373170375824,
0.7... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Words just get us into trouble.
Plural
The second option was a possibility.
Singular
" The ads wiped out most of the war chest.
| Plural
| 0 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.1606459617614746,
0.8146361708641052,
0.20895472168922424,
-0.40753087401390076,
-0.46174436807632446,
-0.4167921841144562,
1.0424824953079224,
0.5905628204345703,
0.32096338272094727,
-0.12360388785600662,
-0.5284052491188049,
0.2530926465988159,
-0.7261911630630493,
-0.269282162189483... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: We should close Guantanamo Bay detention camp<sep>Argument: Guantanamo ... | False | 0 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.272195428609848,
0.5671079158782959,
-0.08279623091220856,
-0.1530662178993225,
-0.7401379346847534,
-0.756049633026123,
0.13746127486228943,
0.343636155128479,
0.09681501239538193,
0.30063527822494507,
-0.21233272552490234,
-0.03534206002950668,
-0.712799072265625,
0.12495649605989456,
... |
Given the task definition and input, reply with output. In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the la... | No | 5 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
-0.0423448421061039,
-0.07329407334327698,
-0.14820659160614014,
0.24507252871990204,
-0.11015035212039948,
-0.1936541646718979,
0.8030186295509338,
0.7034170627593994,
0.1874496042728424,
-0.1674390584230423,
-0.19906985759735107,
0.18145644664764404,
-0.0812712013721466,
-0.1707099378108... |
In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
Example Input: در سطح بینالمللی، به پیشنهاد یونسکو روز ۵ اکتبر (۱۳ مهر) هر سال به عنوان روز جهانی معلم نامگذاری شدهاست. با... | رودآیلند جزو کدام ایالت است؟
| 3 | NIv2 | task394_persianqa_question_generation | fs_opt | [
0.5959312319755554,
0.2383737862110138,
-0.1450124979019165,
-0.08382917940616608,
-0.03981868922710419,
-0.34122955799102783,
0.48326218128204346,
1.0341987609863281,
-0.43765145540237427,
0.05022166669368744,
-0.08521176874637604,
0.5300934910774231,
-0.3096618056297302,
-0.1807285994291... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Example: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Output: And it was primarily because Kiribati realized that this was in their own self-interest to do th... | ED: You've seen that film, and what's so great about this whole conference is that everybody has been talking about scale. | 1 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.5803786516189575,
0.4006463289260864,
-0.2193974256515503,
-0.43919751048088074,
0.2738839387893677,
-0.47857287526130676,
0.30310553312301636,
-0.01359720341861248,
0.2495441883802414,
-0.18371623754501343,
-0.25309956073760986,
-0.06254403293132782,
-0.24804159998893738,
0.054092340171... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Il design è diverso ogni anno. | O deseño é diferente cada ano. | 0 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-1.1352293491363525,
0.8780150413513184,
-0.2951003909111023,
-0.4987909197807312,
-0.23532266914844513,
-1.70345938205719,
-0.5241366624832153,
0.840865433216095,
-0.3564434051513672,
0.2644917666912079,
-0.3385544419288635,
0.23531265556812286,
-0.38371542096138,
0.8431664705276489,
-0... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | We didn't want to store our items in the locker but rather in the closet, since the _ was secure from theft.
| 0 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7242785692214966,
0.16284742951393127,
0.02254498191177845,
-0.12383285909891129,
0.6165287494659424,
-0.7894094586372375,
0.9448525905609131,
1.2746031284332275,
-0.8980516195297241,
-0.22627288103103638,
-0.430631548166275,
0.16877713799476624,
-0.6005301475524902,
-0.01224451791495084... |
Part 1. Definition
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link informat... | Which year did Jason Bay win both the Tip O-Neill Award and the Rookie of the Year Award? | 7 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.3290136456489563,
0.332707941532135,
-0.6291418075561523,
0.36084115505218506,
0.6370132565498352,
-0.4969172477722168,
0.823540449142456,
0.7062928080558777,
0.49090778827667236,
-0.0015523324254900217,
-0.31761234998703003,
0.044920213520526886,
-0.33544015884399414,
0.0105513837188482... |
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... | strengthener | 9 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.15242302417755127,
0.6626803874969482,
0.0894748866558075,
-0.032158005982637405,
-0.01593240164220333,
-0.9624444842338562,
0.6971419453620911,
1.1884207725524902,
0.5457814931869507,
-0.3819798231124878,
-1.3592108488082886,
0.0873015969991684,
-0.5819573402404785,
-0.1518998295068740... |
Detailed Instructions: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The... | [['china', 'DENOMINATIONS_(GOLD_WEIGHT)', '1/20 ozt, 1/10 ozt, 1/4 ozt, 1/2 ozt, 1 ozt']] | 9 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.46056458353996277,
0.6161495447158813,
-0.9180869460105896,
-0.6435598134994507,
-0.29669272899627686,
0.1350020319223404,
1.1863837242126465,
0.011154518462717533,
-0.2995684742927551,
-0.6352881789207458,
-0.6607265472412109,
-0.018970875069499016,
0.08637217432260513,
0.3579367995262... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Example Input: זה תעלול פשוט מאוד, ואני תמיד מצליחה בו כשאני יושבת במושב ליד החלון
Example Output: It's a very simple trick, and I never fail to do it when I'm sitting in a window seat.
Example Input: ואני לא יודע למה, אבל ... | I'd like to play you some voices of little girls from the two-and-a-half years of research that we did — actually, some of the voices are more recent.
| 3 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.6669769287109375,
0.6727060079574585,
0.30074793100357056,
-0.17169728875160217,
-0.11933743953704834,
-0.5516995191574097,
0.6014289855957031,
0.06344504654407501,
0.9272730946540833,
0.10427697002887726,
0.1272125393152237,
0.4330943524837494,
-0.3510352075099945,
0.7741640210151672,
... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 5 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.3266502618789673,
0.30737221240997314,
-0.19299069046974182,
-0.5938845276832581,
-0.013539852574467659,
0.1467793881893158,
0.8869746923446655,
0.6109054684638977,
0.1045040711760521,
0.3116353750228882,
-1.0250352621078491,
0.11194959282875061,
-0.5128968954086304,
0.3210134506225586,... |
Definition: In this task, you need to count the number of words in a sentence that contain the given letter
Input: Sentence: 'a young man and woman playing a game with a nintendo wii controller'. How many words contain the letter 'j' in the sentence.
Output: | 0 | 2 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.3869161307811737,
0.6093966960906982,
-1.1783232688903809,
-0.521342396736145,
-0.2541903853416443,
0.3064502477645874,
0.4921875,
0.2622237503528595,
0.7616773843765259,
-0.2085684835910797,
-0.08438186347484589,
-0.14374855160713196,
-0.4730355143547058,
0.19691422581672668,
-0.0121... |
instruction:
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
question:
Dialogue 1: 'my english is too bad that's totally a pelican i cant even speak... | no
| 9 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.40412336587905884,
0.06891264021396637,
0.8525243997573853,
-0.46435630321502686,
-0.08562606573104858,
0.036741919815540314,
0.721071720123291,
-0.0029475148767232895,
0.01860293373465538,
-0.15467333793640137,
0.3116203546524048,
-0.7247112989425659,
-0.5230885744094849,
0.18940165638... |
Part 1. 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.
P... | laptop | 7 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.47289562225341797,
0.6460279226303101,
-0.030001197010278702,
-0.49743252992630005,
0.0012268152786418796,
-0.22382932901382446,
0.9185851812362671,
0.14009816944599152,
0.5370827913284302,
-0.7869672775268555,
0.048996493220329285,
0.14935146272182465,
-0.41655904054641724,
0.0741157382... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Example: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet contain cy... | Solution: No | 5 | NIv2 | task839_cdt_classification | fs_opt | [
-1.2280501127243042,
1.1828279495239258,
0.5005648136138916,
0.400043785572052,
-0.7325344681739807,
-0.6846437454223633,
0.9759016633033752,
-1.0017122030258179,
-0.16102111339569092,
0.028127968311309814,
-0.41684699058532715,
0.4791439473628998,
-0.7812532782554626,
-0.03303473070263862... |
Given the task definition and input, reply with output. In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which te... | b | 5 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.6337183117866516,
1.0234906673431396,
-0.5487837791442871,
-0.18062543869018555,
0.25808101892471313,
-0.6361525654792786,
0.2068762183189392,
0.8964402079582214,
0.011100759729743004,
0.6416128277778625,
-0.47310084104537964,
0.3571145832538605,
-0.2952590882778168,
-0.03852201998233795... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: I love how these hold their shape (unlike zippy sandwich baggies); they are flexible yet strong. I use one for my water park passes so they wo... | positive
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.21127304434776306,
-0.021214541047811508,
0.24484780430793762,
-0.13922426104545593,
0.14406374096870422,
0.17786648869514465,
0.6468050479888916,
0.8322778940200806,
-0.030383950099349022,
0.15393592417240143,
0.041442181915044785,
-0.41324132680892944,
-0.8512691259384155,
-0.87329262... |
Definition: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input: S... | No | 2 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.2401251494884491,
0.8715013861656189,
-0.1117115318775177,
-0.15833249688148499,
-0.021154804155230522,
-0.7815185785293579,
0.2071712613105774,
0.5052790641784668,
0.08735485374927521,
-0.2683817148208618,
-0.24020439386367798,
-0.40194135904312134,
-0.32019394636154175,
0.172222062945... |
Q: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
My dog loves the tug-a-jug. I've bought three of them and on all of them the bottom has split. The bottom edges and threads split and break off... | False | 7 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.6865906715393066,
0.11466120928525925,
-0.10172271728515625,
-0.31370171904563904,
0.02989077940583229,
-0.2360174059867859,
0.5172574520111084,
0.365695983171463,
-0.8034113645553589,
-0.4043619632720947,
0.0032795588485896587,
0.31980443000793457,
-0.5291224122047424,
0.08017520606517... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Tweet: They gave me 2 drips and a shoot in my... | Output: no
| 2 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.5120306015014648,
0.3488052189350128,
0.569936215877533,
-0.3032752275466919,
-0.0610208734869957,
-1.4832103252410889,
0.4277160167694092,
0.6955037117004395,
0.5793119668960571,
0.11321840435266495,
-0.14544841647148132,
-0.019360970705747604,
-0.6775146722793579,
-0.6261578798294067,... |
Part 1. Definition
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation,... | nationality | 7 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
0.08588540554046631,
0.10006064176559448,
-0.2459871470928192,
-0.11665867269039154,
-0.20773470401763916,
-0.4447247385978699,
0.5163847804069519,
0.9113848209381104,
0.31805798411369324,
0.02908189408481121,
-0.7943593263626099,
0.07464145869016647,
-0.5821512341499329,
-0.25521716475486... |
Teacher: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 if the... | OFFENSIVE | 6 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.2070691585540771,
0.5027471780776978,
0.4419696033000946,
0.20973730087280273,
-0.15485258400440216,
-0.6862781047821045,
0.11692826449871063,
0.5030593872070312,
0.13527798652648926,
-0.10590755939483643,
0.26325446367263794,
0.18627184629440308,
-0.5837144255638123,
-0.901731908321380... |
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | 8139ka
| 1 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.06394486874341965,
0.38159996271133423,
-0.7950995564460754,
-0.2710624933242798,
-0.13954539597034454,
-0.02326103299856186,
0.6405507326126099,
0.15807974338531494,
-0.500171422958374,
-0.033242370933294296,
-1.1910614967346191,
0.009619137272238731,
0.33936795592308044,
-0.1413311362... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: ਪ੍ਰਵਾਸੀ ਭਾਰਤੀਆਂ ਵੱਲੋਂ ਡੈਰੀਵੇਟਿਵਜ(derivatives)ਅਤੇ ਕੁਝ ਖਾਸ ਸਕਿਉਰਟੀਜ਼ ਟ੍ਰਾਂਸਫਰ ਕਰਨ`ਤੇ ਪੂੰਜੀ ਲਾਭ ਟੈਕਸ ਤੋਂ ਰਾਹਤ
Example output: পূর্বাভাস ভারত... | আমাদের দর্শন, সংস্কৃতি এবং শাসন ব্যবস্থায় বৌদ্ধ ধর্মের নীতিগুলি স্থান পেয়েছে বিশেষভাবে । | 3 | NIv2 | task1026_pib_translation_punjabi_bengali | fs_opt | [
-0.7488085031509399,
1.2195967435836792,
-0.23420199751853943,
0.3078928589820862,
-0.7017714381217957,
-0.782302975654602,
0.23927658796310425,
0.5711401700973511,
-0.04326581209897995,
-0.06413887441158295,
-1.0553228855133057,
0.25565704703330994,
-0.2529231309890747,
-0.025771787390112... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: I wszyscy byliśmy zaszczyceni będąc świadkami osiągnięcia czegoś co wydawało się niemożliwe do wykonania, naprawdę gdziekolwiek na świecie.
A: | وقد كنا جميعا سعداء برؤية تلك الصورة تصبح رمزا لتحقيق شيء اعتقد الناس أنه مستحيل في العالم كله. | 9 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
0.052367761731147766,
1.2411679029464722,
0.4813390374183655,
-0.9508891701698303,
-0.33929571509361267,
-0.24905194342136383,
0.6969874501228333,
-0.25240767002105713,
0.8522926568984985,
-0.02227369137108326,
-0.767992377281189,
0.4047262966632843,
-0.6808328032493591,
0.4694766700267792... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers i... | [80640, -14, -72, -59840, 48, -16000, 0, 300, 0, -32, -480, -40, -456, -1248] | 8 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
0.07198929041624069,
0.6570923328399658,
-0.558384895324707,
-0.42269304394721985,
-0.04070563614368439,
-0.06509000062942505,
1.3542574644088745,
0.3156520128250122,
-0.09217067062854767,
-0.06272013485431671,
-0.8523484468460083,
0.023993831127882004,
-0.8470187783241272,
-0.242020204663... |
Detailed Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: バトンはホンダの決定が衝撃で悲痛だったとも語った。
Bahasa In... | No | 8 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.22629719972610474,
0.016203254461288452,
0.2349034696817398,
0.442274272441864,
0.17143656313419342,
-1.3258779048919678,
0.6132830381393433,
-0.05453815683722496,
0.12025843560695648,
-0.1939164698123932,
-0.6603634357452393,
0.0763346254825592,
-0.807339608669281,
0.19371385872364044,... |
Q: 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: Existent... | NNP | 7 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.6774002909660339,
-0.3311304450035095,
-0.6429102420806885,
0.43272942304611206,
0.09867312014102936,
-1.026369333267212,
1.3900848627090454,
0.6822823286056519,
-0.21117478609085083,
-0.4112498164176941,
-0.41060641407966614,
0.23538868129253387,
-0.24454370141029358,
0.1628225743770599... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given 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 gene... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF... | 0 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.6401531100273132,
-0.023955881595611572,
0.1558847725391388,
-0.12425492703914642,
0.648576557636261,
-0.18768902122974396,
0.6161116361618042,
0.8099616169929504,
-0.6040710210800171,
0.2557038962841034,
0.26129212975502014,
-0.22707679867744446,
-0.4063228964805603,
0.05838150158524513... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Correct
****
| 4 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.019823575392365456,
0.46798428893089294,
-0.8053821325302124,
-0.08309908956289291,
-0.07711885124444962,
-0.8175926208496094,
0.1803240031003952,
0.747624397277832,
0.16280287504196167,
-0.6405720710754395,
-0.5635434985160828,
0.2646922767162323,
-0.47853532433509827,
-0.1288339644670... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: passage: An academic major is the academic discipline to which an undergraduate student formally ... | No | 6 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.1029452458024025,
0.39952391386032104,
0.026060324162244797,
-0.4607982635498047,
-0.026058338582515717,
-0.3020781874656677,
0.6670389175415039,
0.6841208934783936,
0.2328888177871704,
0.020652538165450096,
0.031229712069034576,
0.14244428277015686,
-0.740634024143219,
0.21405152976512... |
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example Input: ほんとに１６０万部？ . 息子が友人から借りてきたので、見せてもらったのですが、 最初の章でいやになりました。「道徳的」という、あきらかに人間の特... | POS
| 3 | NIv2 | task485_cls_japanese_books_classification | fs_opt | [
0.8106946349143982,
-0.5739721059799194,
-0.17806831002235413,
-0.03790806978940964,
0.8268939256668091,
0.16651159524917603,
1.2324714660644531,
0.41164422035217285,
-0.10538853704929352,
0.18216243386268616,
-0.505286455154419,
-0.01423582062125206,
-0.3707583546638489,
0.098932065069675... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Example i... | No | 3 | NIv2 | task227_clariq_classification | fs_opt | [
-0.31481772661209106,
-0.23058508336544037,
-0.38225269317626953,
-0.00206225854344666,
-0.420986145734787,
-0.6523570418357849,
0.970199704170227,
0.3079550862312317,
0.4324774742126465,
-0.19852033257484436,
0.2589918076992035,
0.21054916083812714,
-1.0184698104858398,
-0.183672696352005... |
Q: Given a sentence in the Japanese and Filipino 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: 数千人の人が、高台でキャンプし続けている。
Filipino: Ilang libong tao ang patuloy na lumilikas sa mga burol.
A... | Yes | 7 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.9632457494735718,
-0.38398537039756775,
0.08252298831939697,
0.14335742592811584,
-0.27856338024139404,
-0.8562147617340088,
0.5391519665718079,
0.46328824758529663,
-0.51581209897995,
-0.7138254642486572,
-0.7344878911972046,
0.10118410736322403,
-0.8289255499839783,
0.6097429990768433... |
Q: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task:... | DT | 7 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.42870086431503296,
0.3239942193031311,
-0.3398421108722687,
0.24996253848075867,
0.21717703342437744,
-0.37455761432647705,
1.0737282037734985,
0.6922934055328369,
-0.20971320569515228,
0.08708004653453827,
-0.4634621739387512,
0.21598497033119202,
-0.3109670877456665,
0.2321684956550598... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentenc... | Solution: yes | 5 | NIv2 | task199_mnli_classification | fs_opt | [
-0.3711574077606201,
0.5091792345046997,
0.900692880153656,
-0.636236310005188,
-0.06603928655385971,
-0.8824439644813538,
0.35679182410240173,
0.298175573348999,
0.20307427644729614,
-0.38905826210975647,
-0.35265737771987915,
-0.7082223892211914,
-0.44016724824905396,
-0.1178517192602157... |
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" based on... | Changed
| 5 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.46985575556755066,
0.931302011013031,
0.3260256052017212,
-0.405354768037796,
-0.20165356993675232,
-0.23719792068004608,
-0.15255646407604218,
1.2571717500686646,
0.24642689526081085,
-0.09378598630428314,
-0.4699130058288574,
-0.4901019334793091,
-0.7249089479446411,
-0.34720057249069... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
e consegnatelo alla giustizia. "" Naturalmente loro hanno fatto orecchie da mercante.
| و محاکمه کنید و البته آنها توجه نکردند | 5 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.04749313369393349,
1.0950825214385986,
-0.03855840861797333,
0.19528496265411377,
-0.6007893681526184,
0.8827108144760132,
0.3897262215614319,
0.17887026071548462,
0.2861369252204895,
-0.29783904552459717,
-0.9945074319839478,
0.605315089225769,
-0.2574318051338196,
0.2696917653083801,
... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
See one example below:
Problem: Twenty-year-old Will Hunting of South Boston is a self-taught, ... | Answer: Austria | 4 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.2755184769630432,
0.4615306258201599,
-0.4399406909942627,
-0.8866248726844788,
0.3374817967414856,
-0.15124887228012085,
0.8065623044967651,
0.9570335745811462,
0.0042480966076254845,
0.06587468087673187,
-0.025885552167892456,
0.3867940902709961,
-0.5992434024810791,
0.1075076907873153... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to reverse the order of words in the given sentence.
Sentence: a green street sign and a no biking sign on a pole with a stop sign
Output: | sign stop a with pole a on sign biking no a and sign street green a | 1 | NIv2 | task376_reverse_order_of_words | zs_opt | [
-0.10373807698488235,
0.44089120626449585,
-0.051827628165483475,
-0.13697880506515503,
-0.11483544111251831,
0.16270309686660767,
0.31708061695098877,
0.8780573606491089,
0.5523414611816406,
0.2958400845527649,
-0.6546846628189087,
-0.20022597908973694,
0.01850409433245659,
-0.28699725866... |
You will be given a definition of a task first, then some input of the task.
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids w... | elementary | 1 | NIv2 | task1712_poki_classification | zs_opt | [
-0.0463264025747776,
1.3606605529785156,
0.03962358832359314,
-0.4854428172111511,
-0.33807677030563354,
-0.5547350645065308,
-0.07687606662511826,
0.5373037457466125,
0.41306453943252563,
-0.6805758476257324,
-0.22982093691825867,
0.22035950422286987,
-0.26138490438461304,
-0.474216938018... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Persian.
(Laughter) All right. So what happened?
A: | (خنده) بسیار خوب ، چی اتفاقی افتاد ؟ | 7 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.21392905712127686,
0.7175146341323853,
0.01502668485045433,
-0.41746944189071655,
-0.2803933918476105,
0.5440043807029724,
-0.555536150932312,
0.054371923208236694,
0.9834581017494202,
-0.18193891644477844,
-0.30526119470596313,
0.018024124205112457,
-0.1561589539051056,
-0.159005343914... |
Given the task definition and input, reply with output. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with t... | [95, 62, -62, 90, 13, 93, 22] | 5 | NIv2 | task207_max_element_lists | zs_opt | [
-0.47540879249572754,
0.3805903196334839,
-0.5713247060775757,
0.4364092946052551,
0.10250027477741241,
0.22721539437770844,
0.6206246018409729,
-0.07278017699718475,
0.06216922402381897,
0.029568282887339592,
-0.5826143622398376,
0.20161543786525726,
-0.4182984232902527,
-0.06449772417545... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
See one example below:
Problem: Monterey is one of those.
Solution: מונטריי היא אחת מהם.
Explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translat... | זה בית שנעשה כולו מעוגיות פירות. | 4 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.07668709754943848,
0.2904024124145508,
0.24312083423137665,
-0.2555251717567444,
-0.3180609345436096,
-0.3417874276638031,
0.638203501701355,
0.5026098489761353,
0.7248709797859192,
-0.3159533739089966,
-0.4736485481262207,
0.7365607023239136,
-0.887565016746521,
0.09968920052051544,
0... |
This task is to translate the English language Input to Telugu Language Output
[EX Q]: < start="570.57" dur="0.367">STARTING TODAY FOR AT LEAST
[EX A]: < start="570.57" dur="0.367"> కనీసం రెండు వారాలలో ఈ రోజు ప్రారంభిస్తోంది. >
[EX Q]: Body Color Silver or according to your request
[EX A]: శరీర రంగు సిల్వర్ లేదా మీ అ... | మన్స్టర్, Germany
| 6 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.5011739730834961,
0.22970111668109894,
-0.035799168050289154,
-0.09280017763376236,
-0.36452531814575195,
-0.3845446705818176,
-0.6309744119644165,
0.8780803680419922,
0.03994385525584221,
0.14938083291053772,
0.3243943750858307,
0.661250114440918,
-0.48183995485305786,
0.13998171687126... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: But living things are not chiseled.
Output: | Ma gli esseri viventi non vengono scolpiti. | 2 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.4355255365371704,
0.6735798120498657,
0.0069954898208379745,
0.04592868685722351,
-0.22761419415473938,
-0.6431946754455566,
-0.2515886425971985,
0.9777969121932983,
-0.5563504695892334,
0.8822512626647949,
-0.0017449506558477879,
0.40169572830200195,
-0.32430681586265564,
0.60089498758... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: しかし、地球では春分と秋分は1年に2回だが、土星は太陽の周りを好転するのに地球の時間で約29.7年かかるため、この出来事はさらに希少だ。
Student: | Subalit habang ang mga equinoxes ay nangyayari sa mundo nang dalawang beses sa isang taon, ang Saturn ay umiikot ng 29.7 taon ng Mundo upang maikot ang araw kaya mas bihira ang pangyayari. | 6 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.1506158709526062,
0.48439526557922363,
-0.26461511850357056,
-0.5674063563346863,
-0.35701829195022583,
-0.9145824909210205,
0.004355776123702526,
-0.02515355683863163,
-0.7173662185668945,
-0.1476278305053711,
-0.7450182437896729,
-0.03297463431954384,
-0.6861250400543213,
0.5658924579... |
TASK DEFINITION: Given a sentence in Russian, generate a new Russian 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 pr... | Ты встретишь портного, потому что тебе нравится ее гардероб.
| 8 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.4278760850429535,
0.45070451498031616,
0.08920310437679291,
-0.48443326354026794,
-0.7114851474761963,
0.7287318706512451,
1.3638916015625,
0.6754705905914307,
0.3507511019706726,
-0.5216163396835327,
-0.7238050699234009,
0.14222976565361023,
-0.5772981643676758,
0.6775500774383545,
0... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
[EX Q]: she put a fish in a fish tank
she put monke... | second
| 6 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.5084110498428345,
0.39098212122917175,
-0.824690043926239,
-0.7147763967514038,
-0.20327022671699524,
-0.8895806074142456,
0.4218520522117615,
0.5075066685676575,
-0.084591805934906,
-0.05246766656637192,
-0.7195414304733276,
-0.5957516431808472,
-1.0601918697357178,
-0.0832767114043235... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | PRON
| 0 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5079257488250732,
0.16459870338439941,
-0.006782214622944593,
0.06421636790037155,
0.012767963111400604,
-0.8226557374000549,
0.6562018394470215,
0.6765992641448975,
-0.4854586124420166,
0.022390980273485184,
-0.7188320159912109,
0.21212197840213776,
-0.7087700366973877,
0.43708986043930... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Perlomeno negli Stati Uniti, molti uomini sono orgogliosi di cucinare, e francamente infestano i nostri fornelli. | לפחות בארה "" ב, הרבה גברים מתגאים בבישול, ולמען האמת עומדים בכפיתיות ליד הכיריים. | 0 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.300001323223114,
0.7981706857681274,
-0.3216136693954468,
0.0732947364449501,
-0.46053576469421387,
-0.14342591166496277,
0.29304423928260803,
0.5321672558784485,
0.04875485226511955,
-0.37918949127197266,
-0.5432307124137878,
-0.19879664480686188,
-0.6957026720046997,
-0.07143963128328... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Ex Input:
Sentence: 'Branson Creek Golf Club is managed by Troon Golf , the leader in upscale golf course management .', Argument/Subject 1: 'golf club'... | be hold in
| 1 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.4341866374015808,
-0.06044456735253334,
-0.5327181220054626,
-0.13781780004501343,
0.03713402897119522,
-0.9724485874176025,
-0.312366783618927,
0.4809269309043884,
0.4589770436286926,
0.7030459642410278,
-0.07072925567626953,
0.3226621747016907,
-0.776160478591919,
-0.00420949282124638... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR
****
| 4 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.5693796873092651,
-0.1424107551574707,
-0.1271415650844574,
-0.28984534740448,
-0.668362557888031,
0.17753379046916962,
1.1545532941818237,
0.8866452574729919,
0.2873910069465637,
0.026127498596906662,
-0.3680412769317627,
0.046137645840644836,
-0.3652206063270569,
0.13114795088768005,
... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Q: That is why we put forward our package of proposals to fight discrimination onl... | English | 4 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.812232255935669,
0.9299944043159485,
0.7847986221313477,
-0.5847241878509521,
0.13397099077701569,
-0.8717632293701172,
-0.4645637273788452,
1.2468347549438477,
0.3729598820209503,
0.0650891661643982,
0.06597663462162018,
0.0866132527589798,
-0.3528890311717987,
-0.5077670216560364,
0... |
The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
De quin caire són els problemes amb impactes tant inflacionaris com deflacionaris? | Which problem consists of both inflationary and deflationary impacts? | 0 | NIv2 | task1676_xquad-ca_translation | zs_opt | [
0.19340473413467407,
0.5006647109985352,
0.7123720645904541,
-0.08752739429473877,
-0.18907113373279572,
-0.6420062780380249,
0.40007543563842773,
-0.009732899256050587,
-0.2844662666320801,
-0.3875630497932434,
-0.25753775238990784,
0.10545146465301514,
-0.7773318290710449,
0.206011533737... |
Given the task definition and input, reply with output. In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", ... | Entailment | 5 | NIv2 | task463_parsinlu_entailment_classification | zs_opt | [
-1.3709452152252197,
0.11246104538440704,
-0.2947559654712677,
0.36908358335494995,
-0.6271973848342896,
0.2884001135826111,
0.2534259855747223,
0.5114725828170776,
1.2046130895614624,
-0.3373625874519348,
-1.0185364484786987,
0.314083993434906,
0.12015655636787415,
-0.2623352110385895,
... |
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
Q:... | None | 4 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.39106884598731995,
0.490970253944397,
-0.12586955726146698,
-0.47860705852508545,
-0.5429592132568359,
-0.7117736339569092,
1.4842616319656372,
0.11434773355722427,
0.2890995740890503,
-0.6248747706413269,
-0.22653460502624512,
0.7295655012130737,
-0.2312062531709671,
-0.229477331042289... |
Given the task definition and input, reply with output. Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
indistinguishable
| distinguishable | 5 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
-0.19163832068443298,
1.5568740367889404,
0.9855390787124634,
0.14962425827980042,
-0.352192223072052,
-0.7120943665504456,
-0.36510464549064636,
0.22452959418296814,
0.6462175846099854,
-0.5701630115509033,
-0.8274495601654053,
-0.5610186457633972,
-1.2710187435150146,
0.02109432965517044... |
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 independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against | 9 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.19265127182006836,
0.6624402403831482,
-0.04995880648493767,
0.3954150676727295,
-0.7902935743331909,
-1.2308261394500732,
0.3933357000350952,
0.6212369203567505,
0.10729718953371048,
0.3323826491832733,
-0.29672423005104065,
-0.1377653181552887,
-0.0023671374656260014,
-0.3396933078765... |
Definition: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inv... | Original | 2 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
0.04956643283367157,
0.7476868629455566,
0.36195531487464905,
-0.04261493682861328,
0.1383143663406372,
-0.20045077800750732,
0.21791179478168488,
0.5675674676895142,
0.3214937448501587,
-0.15238624811172485,
-0.7401065826416016,
-0.6714422702789307,
-0.6678851842880249,
0.0121895503252744... |
Definition: You are given a context, a pronoun, and a noun in this task. The given pronoun is shown in the context within parentheses. You should determine if the pronoun refers to the given noun or not. Please answer with "True" and "False".
Input: Alice tried frantically to stop her daughter from barking at the party... | False | 2 | NIv2 | task1390_wscfixed_coreference | zs_opt | [
-0.28941625356674194,
0.9200894832611084,
-0.02410045824944973,
0.393364816904068,
-0.6558701992034912,
-0.10139892995357513,
1.1452516317367554,
1.112492561340332,
0.5915855765342712,
0.48247677087783813,
-0.45144885778427124,
0.1743188202381134,
-0.3775600790977478,
-0.3437446355819702,
... |
Instructions: 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.
Input: साथियो, किसी भी देश की intellectual creativity औरidentity उसके इतिहास, कला, भाषा और संस्कृति से बनती है।
Output: | आपल्याला एक उद्दिष्ट निश्चित करुन त्यानुसार आंतरविद्यात्मक संशोधने करावी लागतील. | 3 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
-0.18446512520313263,
0.1272694170475006,
0.5059087872505188,
0.5207522511482239,
-0.23719653487205505,
-1.336301326751709,
-0.05464287847280502,
-0.12178488075733185,
-1.043311595916748,
-0.9699037075042725,
-0.8064999580383301,
-0.36488714814186096,
-0.7123358249664307,
-0.48309582471847... |
Detailed Instructions: In this task you need to give reasons to justify the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a question about how to justify the coreference between a noun phrase and the target pronoun. Good practices involve the discussion about h... | Because Jim is the yeller. | 9 | NIv2 | task134_winowhy_reason_generation | zs_opt | [
-0.15150976181030273,
0.013976912945508957,
0.07900698482990265,
-0.7173366546630859,
0.2297525256872177,
-0.3920018970966339,
0.042232148349285126,
0.030663330107927322,
0.2085323929786682,
-0.35734623670578003,
-0.5424625873565674,
0.6001073718070984,
-1.0135300159454346,
-0.163621455430... |
TASK DEFINITION: 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 ... | green_crate
| 8 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.43247780203819275,
-0.5381574630737305,
-0.24273046851158142,
-0.5360120534896851,
-0.1350829005241394,
-0.2439155876636505,
0.2083122730255127,
0.7454231977462769,
0.35101741552352905,
-0.197166308760643,
-0.13240301609039307,
0.36582690477371216,
-0.13992810249328613,
0.385493814945220... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Ex Input:
i tam się utrzymała, w podstawówce, gimnazjum, a potem szkole średniej. Osiągnęła świetne wyniki na egzaminach państwowych, także jako pierwsza ze swojej wioski, wyjechała na stypendium do USA. wyjechała na stypend... | ¿Qué les parece esto?
| 1 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.4935745298862457,
0.4801635146141052,
-0.10716487467288971,
-0.44270554184913635,
-0.24822846055030823,
-0.5173051953315735,
0.3462800979614258,
0.8046495914459229,
0.17696359753608704,
-0.3833487033843994,
-0.0816946029663086,
0.7099565863609314,
-0.3993544280529022,
-0.210015699267387... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Problem:او همان کسى است که بر بنده خود آیات روشنى فرو مىفرستد، تا شما را از تاریکیها به سوى نور بیرون کشاند. و در حقیقت، خدا [نسبت] به شما سخت رئوف و مهربان است.
Solution: | It is He who sends down splendent revelations to His votary that he may take you out of darkness into light; for surely God is gracious and kind to you. | 8 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.9490747451782227,
1.11213219165802,
-0.08222472667694092,
-0.7382924556732178,
-1.0415135622024536,
-0.6873461008071899,
1.1802557706832886,
0.5284719467163086,
0.28549474477767944,
-0.23937299847602844,
-0.8303899765014648,
1.0356351137161255,
-0.5664904713630676,
0.4235844612121582,
... |
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