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 |
|---|---|---|---|---|---|---|
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: در این میان چند تا فحش هم به جمهوری اسلامی بدهید هیچ اشکالی ندارد.
A: | If, in the meantime, you had to swear to the Islamic Republic there is absolutely no problem with that. | 4 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-1.196063756942749,
0.7001171112060547,
0.26884564757347107,
0.0059907566756010056,
-0.067184679210186,
-0.1002684086561203,
0.5257906913757324,
0.313639760017395,
0.5549376010894775,
-0.012429624795913696,
-0.7063841819763184,
-0.0028514035511761904,
0.35996636748313904,
0.362145453691482... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Q: Mio padre ha appena costruito il più bel gabinetto esterno del nostro piccolo villaggio in Ucraina.
A: | Mi papá terminaba de construir la mejor letrina en nuestro pueblito de Ucrania. | 4 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.6921560168266296,
1.5035967826843262,
-0.49010130763053894,
-0.005036660470068455,
-0.4101434350013733,
-0.5107635259628296,
0.11397337168455124,
1.095768928527832,
0.49749433994293213,
-0.40450191497802734,
0.08471393585205078,
0.8989779353141785,
-0.37392157316207886,
0.36846292018890... |
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['W', 'j', 's', '7477', '183', '8147', '4045', 'o', 's', 'Y', 'v', '4827', '6407', 'J', '5485', '5305', '72... | 7477, 183, 8147, 4045, 4827, 6407, 5485, 5305, 7213, 469, 3171, 2093, 1135, 5937, 4041 | 5 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.1257455050945282,
0.9662983417510986,
-0.8220439553260803,
-0.2396334409713745,
-0.30380886793136597,
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0.39757323265075684,
-0.5623417496681213,
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0.38804560899734497,
-0.4429609179496765,
0.25585418939590454,
0.28352075815200806,
0.2324831634759903... |
Definition: This task is about translating a given Spanish language sentence to English.
Input: la persona culpable. No rechaza la hipótesis nula, por lo que se enteró de que el culpable es realmente inocente.
Output: | You don't reject the null hypothesis, so you found out that the guilty person is really innocent. | 2 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.21622121334075928,
0.8480404615402222,
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-0.4026215672492981,
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-0.3777593672275543,
0.06096061319112778,
-0.26091575622558594,
-0.2275659441947937... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confu... | yes | 2 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.1374908685684204,
-0.030308248475193977,
0.5402022004127502,
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-0.2865523099899292,
-0.31414327025413513,
-0.1554061472415924,
-0.67731523513... |
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... | 淋浴门是用来把淋浴与其他浴室隔开的
| 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.1020398885011673,
0.09611854702234268,
-0.19012953341007233,
-0.6428373456001282,
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-0.13197891414165497,
-0.4022296071052551,
0.13749146461486816,
0.19626672565937042,
-0.07795239984... |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Sentence1: Is it safe to take a probiotic whil... | Dissimilar
| 0 | NIv2 | task1645_medical_question_pair_dataset_text_classification | fs_opt | [
0.013509184122085571,
0.2665712535381317,
-0.6515373587608337,
0.14716634154319763,
-0.6046580076217651,
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0.23960793018341064,
1.2236226797103882,
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-0.627403736114502,
1.0383317470550537,
-1.075934648513794,
-0.018084950745105743,
... |
This task is about translating a given Spanish language sentence to English.
Example input: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Example output: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Example explanation: This is a good example because the Spanish s... | Does that, does that help your side at all? >> It does. | 3 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.8118410110473633,
0.8748733997344971,
0.07816048711538315,
-0.883239209651947,
-0.14442244172096252,
-1.228027582168579,
0.13864435255527496,
0.8166695833206177,
0.7406972646713257,
-0.9840837121009827,
-0.3417400121688843,
1.0551042556762695,
-0.517218828201294,
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0... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:זה כאילו שהרצים בצוות היו אומרים, בואו נבהיר איפה התפקיד שלי מתחיל ונגמר
Solution: | درست مثل حرفی که دونده های تیم می گفتند ، "" باید صریح باشیم — نقش من واقعا کجا شرع یا تمام می شود ؟ | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.378145694732666,
0.7561265230178833,
0.18178799748420715,
-0.6325869560241699,
-0.6212363839149475,
0.2332780659198761,
0.7578985691070557,
0.15697407722473145,
1.0998475551605225,
-0.5645112991333008,
-0.8153359889984131,
0.04752416908740997,
-0.532646656036377,
0.4490070641040802,
0... |
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 fine 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 : '$': D... | -RRB- | 9 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.0736299604177475,
0.47019174695014954,
0.049152567982673645,
0.28791582584381104,
-0.09943053126335144,
-0.7670565843582153,
0.57699054479599,
1.0928630828857422,
-0.6151012182235718,
-0.14780865609645844,
0.029061973094940186,
0.3726453185081482,
-0.12570339441299438,
-0.048035912215709... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปารีส ประเทศฝรั่งเศส
Solu... | ウィキニュースのニック・モロー氏がマッキンゼー候補に価値観、経験、選挙活動についてインタビューした。 | 6 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.032768961042165756,
0.41675734519958496,
-0.8421587347984314,
0.6218428611755371,
0.16155853867530823,
-0.7324988842010498,
0.3342122733592987,
0.37517648935317993,
0.17819473147392273,
-0.037897996604442596,
-0.6539978981018066,
0.9307712912559509,
-0.3376389741897583,
0.74240052700042... |
Part 1. Definition
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your ... | It was likely a scam and he took my money . | 7 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.6914206743240356,
0.1630396544933319,
-0.4693521559238434,
0.4805193543434143,
0.3642929792404175,
-0.19382359087467194,
0.5146664381027222,
0.536819577217102,
-0.35575318336486816,
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0.05335550010204315,
1.0452821254730225,
-1.110275149345398,
-0.35118889808654785,
... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: and i didn't see much of it like you know i see you saw ... | 2 | 0 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.05113925039768219,
0.1174713671207428,
0.1549244523048401,
0.4987543821334839,
-0.12009713798761368,
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0.1545781046152115,
0.9345864653587341,
-0.5710598230361938,
0.3064730763435364,
-0.4191831946372986,
-0.3727627396583557,
-0.06031539663672447,
-0.7270560264587402... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.1881568431854248,
0.2606527507305145,
0.04700768366456032,
-0.04830508306622505,
-0.5041396617889404,
-0.8597321510314941,
1.1849480867385864,
0.5262320041656494,
-0.3813211917877197,
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-0.3304142355918884,
-0.1250804364681244,
-0.3445248603820801,
0.14058826863765717,
... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Ex Input:
Is AUTHOR wrong in the post ? POST : I want to start off by saying I think it's great th... | no
| 1 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.4347383975982666,
-0.29437243938446045,
-0.49340760707855225,
0.09419788420200348,
0.22589552402496338,
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1.0716253519058228,
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0.22359636425971985,
0.1510900855064392,
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-0.0279648192226886... |
Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Problem:The Vice President stated that he called the President to discuss the rules of e... | No | 8 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.17943984270095825,
-0.22264009714126587,
-0.261569082736969,
0.006084475666284561,
0.0690765231847763,
-0.03146421164274216,
0.7047532200813293,
0.9932712316513062,
-0.24073952436447144,
0.6405990719795227,
-0.7217518091201782,
-0.26337531208992004,
-0.40995895862579346,
0.28972032666206... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: Consider Input: English: Although the market is presented as the only rule which applies to ACP-EU relations, the Europea... | Output: Yes
| 2 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.3200536370277405,
0.4952861964702606,
0.00014765537343919277,
0.07043331116437912,
0.07808417826890945,
-1.0125622749328613,
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-0.5932679772377014... |
You will be given a definition of a task first, then some input of the task.
A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
ஜன் தன் கணக்குகள் பயனாக பெரும்பாலான மக்கள் வங்கி முறையோடும் இணைக்கப்பட்டனர்.
Outp... | जन-धन खातों की बदौलत ज्यादातर लोग बैंकिंग प्रणाली से जुड़ गए हैं। | 1 | NIv2 | task994_pib_translation_tamil_hindi | zs_opt | [
-0.21158894896507263,
0.7026976346969604,
-0.29899945855140686,
0.24623630940914154,
0.18659502267837524,
-0.7261543273925781,
0.601072371006012,
0.042480990290641785,
-0.05782833695411682,
0.30433976650238037,
-0.06699077785015106,
0.20778599381446838,
-0.5395292043685913,
0.1382960975170... |
Given the task definition, example input & output, solve the new input case.
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
Example: plot : two teen couples go to a church party , drink and then drive .
they get into an accident .
one of the guys dies , but his... | N | 1 | NIv2 | task1361_movierationales_classification | fs_opt | [
0.1495155543088913,
0.3867632746696472,
-0.8787938356399536,
0.2168772965669632,
0.17631873488426208,
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1.0187158584594727,
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0.08382969349622726,
-0.06980238854885101,
0.08825039118528366,
0.09106151014566422,
-0.1747023612260818... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
(笑) それで私の周りにはペンギンが4つも5つも漂うことになりましたが私はひたすら写真を撮り続けました
(Risas) Agora tiña 4 ou 5 pingüíns aboiando arredor da miña cabeza e eu limitábame a estar alí botando fotos.
しかしこのおかげで「脱石油」のスローガンが広まったのです
Por iso funcionou o eslogan... | Mentres que o eu futuro quere que o presente aforre.
| 0 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-1.4145243167877197,
0.3365083932876587,
-0.46648240089416504,
-0.24820950627326965,
-0.6327187418937683,
-0.841122567653656,
0.1334351897239685,
0.4761813282966614,
-0.16028273105621338,
-0.7580641508102417,
-0.6139322519302368,
0.002416637958958745,
-0.8308099508285522,
0.206949859857559... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Iriam perceber exactamente o que disse em inglês.
Output: | لقد فهمتم بالضّبط ما قلته لتوّي بالانجليزية. | 3 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
0.437333345413208,
0.8911467790603638,
0.5851790308952332,
-0.9497238397598267,
-0.548320472240448,
-0.25645941495895386,
0.19440361857414246,
-0.20066580176353455,
0.8897306323051453,
0.5325297117233276,
-1.0161142349243164,
-0.29910922050476074,
-0.7188437581062317,
0.2944820821285248,
... |
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... | So we looked all over the U.S. We found them in New York, we found them in Pennsylvania, Nevada and Florida. | 6 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.6980386972427368,
0.5166524648666382,
0.37725675106048584,
0.12314748018980026,
-0.26623377203941345,
0.25602829456329346,
-0.3098638653755188,
1.090108871459961,
-0.4449823498725891,
-0.012180663645267487,
-0.4151380658149719,
0.14577752351760864,
-0.5559102892875671,
-0.36414492130279... |
Given the task definition and input, reply with output. In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There ar... | (B) | 5 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.24726593494415283,
0.44907867908477783,
-0.23773980140686035,
0.19312499463558197,
0.36026209592819214,
-0.7906333208084106,
0.19106125831604004,
1.2112387418746948,
-0.03761815279722214,
-0.4324350953102112,
-0.3319464325904846,
0.7286545634269714,
-0.787995457649231,
0.1235720068216323... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
--------
Question: Dice: "" La culpa no es por fracasar, es por fallar al ayudar o al pedir ayuda "".
Answer: Sostiene che la colpa non è per il fallimento, è per l'incapacità di aiutare o di chiedere aiuto.
Question: Sa... | Il motivo è che la scienza consente di riprodurre le nostre azioni, senza che ci dobbiamo affidare esclusivamente al buonsenso o alla fantasia.
| 7 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-1.107828974723816,
1.0017825365066528,
0.3897065222263336,
-0.8483598232269287,
-0.4186859130859375,
-0.27275609970092773,
0.0632215216755867,
0.9634428024291992,
-0.1660715639591217,
-0.6851344108581543,
-0.5445823669433594,
0.6252548694610596,
-0.3902789056301117,
0.4361216425895691,
... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Review: For a movie that gets no respect there sure... | yes | 3 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.47649431228637695,
0.042941778898239136,
0.07246848940849304,
0.6794116497039795,
0.3372463583946228,
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1.1064321994781494,
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-0.11778441816568375,
-0.24702537059783936,
-0.16878080368041992,
-0.19053307175636292,
-0.145997941493... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example Input: (Risos) A meditação ajuda.
Example Output: (צחוק) מדיטציה עוזרת.
Example Input: Agora, ambos olham — e isto é representado pelas setas azuis — ambos olham para a mesma comida, que está no lúmen e na ár... | נתנו להם פנים נחמדות וקול מנחם.
| 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.213974729180336,
0.5122750997543335,
-0.3028275668621063,
-0.6442083120346069,
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0.4767274856567383,
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0.9251854419708252,
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-0.2518540918827057,
-0.2938666343688965,
0.4017988443374634,
... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Q: Ok, forse non pensano di farcela in futuro, ma forse pensano, che il loro figlio possa diventare il prossimo Bill Gates.
A: | 彼ら自身の代では無理だとしてもひょっとしたら息子が次のビル・ゲイツになるかもしれない | 9 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-1.0707299709320068,
0.6332241296768188,
-0.1833038628101349,
0.06355594098567963,
-0.17616286873817444,
-0.49181225895881653,
0.42187735438346863,
0.6040704846382141,
0.902797520160675,
-0.9039379954338074,
0.035596370697021484,
0.6667786836624146,
0.27059346437454224,
-0.4074286818504333... |
Given the task definition and input, reply with output. This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answe... | 4. | 5 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.19818773865699768,
0.15212897956371307,
-0.4612250328063965,
0.10258713364601135,
-0.06582850217819214,
-0.2756238877773285,
0.3805558681488037,
0.2597758173942566,
0.06637168675661087,
0.05105879530310631,
-0.5825872421264648,
0.1167011633515358,
-0.7230420112609863,
-0.1960767805576324... |
Given the task definition and input, reply with output. In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triple... | _____ offers Japanese-style food in the 20-25 price range. It has a 3 out of 5 customer rating and is not kid-friendly. | 5 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.6743829250335693,
0.3739297389984131,
-0.7792419195175171,
0.26530271768569946,
-0.043494582176208496,
-0.08697095513343811,
0.6460607647895813,
0.2670174241065979,
0.6160365343093872,
-0.6098735332489014,
-0.6649442315101624,
0.84908127784729,
-0.5617741346359253,
-0.5054379105567932,
... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: Consider Input: Dr. Barss came to the ceremony and explained that as a young doctor, he wanted to see the world.
Output: O Dr. Barss veu á cerimonia e explicou que como médico novo, quería ver mundo.
Input: Cons... | Output: Onde poden desenvolver grandes aplicacións, traballar con funcionarios.
| 2 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.5476617813110352,
0.9177707433700562,
-0.3534594178199768,
-0.6316242218017578,
-0.27009066939353943,
-1.1504995822906494,
-0.3343103528022766,
0.1207604706287384,
0.1338525414466858,
0.4121859669685364,
-0.02747182734310627,
0.8194785118103027,
-0.05842291936278343,
0.1763637661933899,... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Ex Input:
Einstein and Maric married in January 1903. In May 1904, the couple's first son, Hans Albert Einstei... | Yes
| 1 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.5799278020858765,
0.2540609538555145,
-0.06682887673377991,
-0.13981910049915314,
0.5151617527008057,
0.09417303651571274,
0.9523214101791382,
0.7992244362831116,
0.3079794645309448,
-0.0027193035930395126,
-0.12211990356445312,
0.6696373820304871,
-0.8953825235366821,
0.0385443568229675... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
[EX Q]: ですから水は決して汲み水では無く蛇口からの流水です
[EX A]: Perciò l'acqua non è mai accumulata. É sempre al rubinetto.
[EX Q]: そして三つ目最後の質問は地球上の保護された生態系の生物多様性をどう維持して行くかです
[EX A]: La terza ed ultima domanda è: "" Come gestiamo la biodiver... | I loro rituali, relazioni e restrizioni sono gli stessi.
| 6 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.4896245002746582,
0.7577375173568726,
-0.6649221777915955,
-0.42194482684135437,
-0.8581405878067017,
-0.6778687238693237,
-0.40657103061676025,
0.4864467978477478,
-0.8143705129623413,
-0.9726117849349976,
-0.10683736205101013,
0.5352053642272949,
-0.6994209289550781,
0.172513633966445... |
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 a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
A man is spreading shreded cheese on a pizza.
Solution: Un b... | În primul caz, cred că nu aveți nevoie de el. | 0 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.45931893587112427,
0.2708250880241394,
0.7630141973495483,
-0.13519850373268127,
0.04535996541380882,
0.4840163290500641,
1.3952770233154297,
0.6435978412628174,
0.9270191192626953,
-0.3805240988731384,
-0.16679659485816956,
0.5587005615234375,
-0.47580406069755554,
0.10669033974409103,... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Example: Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (D) talented
Example solution: C
Example explan... | Solution: B | 5 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.5975268483161926,
0.5696203708648682,
-0.04712561517953873,
-0.5264472961425781,
-0.6306689977645874,
-0.7484099864959717,
0.3151243329048157,
0.8092619180679321,
-0.614532470703125,
-0.025710076093673706,
-0.10101824998855591,
-0.6882297396659851,
-0.3361074924468994,
-0.22529694437980... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Tina wanted to become a vegetarian. Sentence2: She no longer wanted to eat meat. Sentence3: Tina then decided she would never eat meat again. Sentence4: Ho... | Tina | 0 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.28001776337623596,
0.1945197880268097,
0.4670131802558899,
-0.1461232304573059,
-0.3508329391479492,
-0.40092670917510986,
0.2754715085029602,
0.7925351858139038,
0.2208152711391449,
-0.12270836532115936,
0.12554077804088593,
-0.6099853515625,
-0.5489939451217651,
-0.2559739947319031,
... |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Input:... | Output: 2
| 2 | NIv2 | task1176_xcopa_commonsense_reasoning_ta | fs_opt | [
0.2478049099445343,
0.770763099193573,
0.22468873858451843,
0.3056046962738037,
-0.19748055934906006,
-0.07268975675106049,
-0.27527377009391785,
1.0649707317352295,
0.02696235105395317,
0.6970821619033813,
-0.5999104976654053,
-0.6169209480285645,
0.39021554589271545,
-0.6138370037078857,... |
A text is given in Marathi. Translate it from the Marathi language to the Telugu language. The translation must not omit or add information to the original sentence.
आगामी काही दशकांमध्ये तेलाच्या अतिरिक्त मागणीचा मोठी गरज अमेरिका पूर्ण करेल असा अंदाज आहे. | తద్వారా రానున్న దశాబ్దాల్లో ఎదురయ్యే అదనపు చమురు డిమాండును అది తీర్చగలదని అంచనా; | 0 | NIv2 | task1027_pib_translation_marathi_telugu | zs_opt | [
-0.0355173796415329,
0.8830200433731079,
-0.212151437997818,
0.5206637382507324,
-0.20421777665615082,
-1.1514625549316406,
0.5954959392547607,
0.4428735375404358,
-0.0540015771985054,
-0.1801391839981079,
0.2653210461139679,
-0.453814834356308,
-0.8092474341392517,
0.09093552827835083,
... |
Given the task definition and input, reply with output. In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'european style arch/gateway with parking area and lawn'. Replace the letter 'a' with 'b' in the sentence.
| europebn style brch/gbtewby with pbrking breb bnd lbwn | 5 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.6104116439819336,
0.6515934467315674,
0.28593701124191284,
0.031275879591703415,
-0.31158944964408875,
0.10201193392276764,
0.023511234670877457,
0.2665243148803711,
0.5774098634719849,
-0.5381969213485718,
0.1588703840970993,
0.4933929443359375,
-0.030618369579315186,
-0.09834967553615... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: The first desert races roadbook experienced
Output: | The mbụ roadbook nwetara maka agbụrụ na desert | 1 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.07365398108959198,
-0.030185125768184662,
0.10921288281679153,
-0.33333277702331543,
-0.21279150247573853,
-0.4709978997707367,
1.0268146991729736,
-0.0023178330156952143,
-0.018687963485717773,
-0.49155765771865845,
-0.44966691732406616,
-0.5008028745651245,
-0.587444543838501,
-0.19553... |
Q: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: hi YOU: hello, i would like the book and a basketball.
A: | Yes | 7 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.13747049868106842,
0.3714454770088196,
0.48781871795654297,
0.4612024426460266,
0.15832166373729706,
-0.5231371521949768,
0.45453035831451416,
-0.3758409023284912,
0.1709086000919342,
-0.727410614490509,
0.07582097500562668,
-0.49583500623703003,
-1.1816070079803467,
-0.4016481041908264,... |
Definition: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Input: Rory Cellan-JonesTechnology correspondent@BBCRoryCJon Twitter Tim Berners-Lee has said it creates a "security nightmare". Edward Sn... | 'Snoopers law creates security nightmare' | 2 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.23129001259803772,
0.35444414615631104,
-0.1967637836933136,
-0.17399203777313232,
0.5118945837020874,
-0.20355546474456787,
0.6057928204536438,
0.4004710912704468,
-0.1657957136631012,
0.4753805696964264,
0.03910091519355774,
0.7792350053787231,
-0.4844326376914978,
-0.3107283115386963,... |
Q: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, ... | [-13.0, 41.5, 6.0, -45.0, -80.5, -79.5, -52.0, -49.5] | 7 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.7422741651535034,
0.044975850731134415,
-0.8735514879226685,
-0.5935407876968384,
0.08611348271369934,
0.07525185495615005,
0.8769564628601074,
0.33761560916900635,
-0.022204628214240074,
-0.3294658362865448,
-0.4286329746246338,
-0.2820773124694824,
-0.023101383820176125,
0.55180549621... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Let me give you an example: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
The answer to this example can be: Con el crecimiento, lo... | Y allí discutieron abiertamente sus relaciones personales, sus propias experiencias sobre igualdad de género con compañeros de trabajo y socios. | 8 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-1.28318190574646,
0.2668846845626831,
0.21811065077781677,
-0.1332409381866455,
-0.08690287172794342,
0.09500113129615784,
0.10141223669052124,
0.828978419303894,
-0.09648875147104263,
-0.5105206370353699,
-0.6062371134757996,
0.3492410182952881,
-0.5852852463722229,
-0.22098276019096375,... |
Instructions: In this task, you need to replace a letter in the sentence with another given letter.
Input: Sentence: 'a picture of a giraffe standing around trees and logs'. Replace the letter 'u' with 'z' in the sentence.
Output: | a pictzre of a giraffe standing aroznd trees and logs | 3 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.6185164451599121,
1.083141565322876,
-0.28691428899765015,
-1.2786977291107178,
0.08245442062616348,
-0.32030779123306274,
0.16454961895942688,
0.3201449513435364,
-0.12649761140346527,
-0.8326866626739502,
0.483157217502594,
-0.38713711500167847,
-0.455252081155777,
-0.1126752644777298... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Input: باید آنهایی را که همکاری می کنند تشویق و کسانی که همکاری نمی کنند را سرزنش کنید.
Output: | É preciso recompensar aqueles que cooperam e culpar aqueles que não colaboram. | 3 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-1.1719862222671509,
0.918776273727417,
-0.25918811559677124,
-0.4478932023048401,
-0.5155214667320251,
0.4141472578048706,
0.1038820743560791,
0.32172074913978577,
0.6179910898208618,
-0.06169600039720535,
-1.3160548210144043,
0.013827168382704258,
-0.040151447057724,
0.443486750125885,
... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
One example is below.
Q: For four years we ... | Russian | 9 | NIv2 | task339_record_answer_generation | fs_opt | [
0.23068207502365112,
0.44385650753974915,
-0.7226383686065674,
0.1001831516623497,
-0.015166094526648521,
0.2484973818063736,
0.49967965483665466,
1.1151479482650757,
-0.0036758724600076675,
0.7063952684402466,
0.22886210680007935,
0.5193841457366943,
-0.9853065013885498,
0.426439762115478... |
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 Polish. Your job is to translate the Polish sentence into English.
To największa nagrywarka, jaką w życiu widzieliście.
Solution: It's sort of the biggest TiVo box you've... | And as we look ahead I'd like to share with you a thought: It's the thought of a future where the 17 million deaths per year that we currently have due to infectious disease is a historical footnote. | 0 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.7859789133071899,
0.44644632935523987,
0.23064157366752625,
0.18291199207305908,
-0.03385941684246063,
0.07015401124954224,
0.6260316371917725,
-0.17198318243026733,
-0.15759819746017456,
0.07370414584875107,
0.5426684617996216,
0.6405807137489319,
-0.20823560655117035,
0.74462991952896... |
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".
Ex Input:
Japanese: 航空ジャーナリスト、トム・バランタインは「今月始めの不具合が、”確かに、A380が運行を始めてから経験した最も大き... | Yes
| 1 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.36155757308006287,
-0.3364534378051758,
0.20013310015201569,
-0.2964749336242676,
-0.6411454081535339,
-0.1621415615081787,
0.8023541569709778,
0.35398587584495544,
-0.051997337490320206,
-0.09973114728927612,
-0.9211547374725342,
0.7044764757156372,
-0.7922397255897522,
0.1057685315608... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Example solution: Who did the Han Chinese want to help the Mongols fight?
Example explanation: The input init... | Solution: What centuries did the Roman times take place within? | 5 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
0.04278552904725075,
1.0896295309066772,
-0.07831127196550369,
-0.5512294769287109,
-0.11258254945278168,
-0.7104463577270508,
0.2333841472864151,
0.7579694390296936,
0.6145625710487366,
0.1953541487455368,
-0.2362363040447235,
-0.46930065751075745,
-0.8606692552566528,
-0.4721086025238037... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.17702540755271912,
0.30521151423454285,
0.29843586683273315,
-0.1441468894481659,
-0.4935748875141144,
-0.5944269895553589,
1.0951716899871826,
0.5336202383041382,
-0.35632097721099854,
-0.3039531409740448,
-0.5813489556312561,
-0.23292705416679382,
-0.49165722727775574,
0.15095084905624... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Output: Foley Square
| 2 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.4400442838668823,
0.605600118637085,
-0.6944751739501953,
0.5132017731666565,
0.009804166853427887,
0.20451027154922485,
0.21611206233501434,
0.8222858905792236,
0.6807430982589722,
0.780500590801239,
-0.27065393328666687,
0.7529239654541016,
-0.7770389318466187,
0.45460596680641174,
0... |
Detailed Instructions: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Q: Poster: So happy to be back home in Washingt... | Neutral | 9 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-1.3172242641448975,
-0.02976895682513714,
-0.00034044706262648106,
0.03925403952598572,
0.317283034324646,
-0.5877819061279297,
0.23631829023361206,
0.6123261451721191,
0.767812967300415,
0.869939386844635,
0.2755206227302551,
0.393733412027359,
-0.04754270613193512,
-0.019135145470499992... |
Teacher:You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find t... | probability | 6 | NIv2 | task834_mathdataset_classification | zs_opt | [
-0.2325567603111267,
0.532779335975647,
-0.03315160796046257,
-0.045040883123874664,
0.0668935626745224,
-0.13261529803276062,
0.42906495928764343,
0.7356634736061096,
0.4759066104888916,
-0.4223412871360779,
-0.6137003898620605,
0.13915757834911346,
-0.41316044330596924,
-0.17597359418869... |
Detailed Instructions: 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".
Problem:Been buying greenies for years. Decide to try the senior version but it made my dog sick. I don't know if its to ... | False | 8 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.675845742225647,
-0.26952463388442993,
0.1160966008901596,
-0.9758821725845337,
-0.7297337055206299,
-0.3365502953529358,
0.5843573212623596,
0.2625754475593567,
-0.2655435800552368,
-0.34231311082839966,
-0.24846228957176208,
0.3530898094177246,
-0.3690231144428253,
0.15520666539669037... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
And no migrant would take that dangerous journey if they had enough food for themselves and their children. | ואף מהגר לא היה יוצא למסע המסוכן הזה אילו היה מספיק אוכל לו ולילדיו. | 0 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
0.1915167272090912,
0.4861825108528137,
0.1732897311449051,
0.36774224042892456,
-0.7339797616004944,
-0.04300534725189209,
0.717139482498169,
-0.038787148892879486,
-0.13241147994995117,
-0.29393434524536133,
0.14854823052883148,
-0.03311052918434143,
-0.9757152199745178,
-0.2477783262729... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | Output: weakener
| 2 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.07751833647489548,
0.3159204125404358,
-0.6843255758285522,
-0.07213740050792694,
-0.2660048007965088,
-1.0596520900726318,
1.0263243913650513,
1.2346352338790894,
0.2927781641483307,
-0.6656327247619629,
-1.064234733581543,
0.0023295795544981956,
-1.0556690692901611,
0.146658256649971,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating... | b | 1 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.5529122948646545,
0.044132888317108154,
0.2812010943889618,
0.1030329018831253,
0.0029815989546477795,
-0.13593502342700958,
0.7317838668823242,
1.0070714950561523,
-0.06428077816963196,
0.42055678367614746,
-0.606249213218689,
-0.43681347370147705,
-0.0891553983092308,
0.26420417428016... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
I will never forget her.
هرگز او را فراموش نخواهم کرد.
But for the moment, that's the case.
اما تا اون روز ، این درسته.
Now, this hawk can be used for geospatial surveys.
| از این شاهین می توان برای بررسی های جغرافیایی استفاده کرد.
| 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.0481199286878109,
0.8534054756164551,
-0.2908302843570709,
0.41476327180862427,
-0.5185967683792114,
-1.0187134742736816,
1.2816258668899536,
-0.03259212523698807,
0.43268316984176636,
-0.5130054950714111,
-0.33451977372169495,
0.47405630350112915,
-0.1892358958721161,
0.413481175899505... |
This task is about translating a given French language sentence to English.
One example: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Solution is here: You did such a great thing today, why are you avoiding me?
Explanation: This is a good example because the French sentence has ... | So here is my conclusion. | 6 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.6046609282493591,
1.39772367477417,
0.5482410788536072,
-0.4758521616458893,
0.22211119532585144,
-0.8375777006149292,
-0.036137789487838745,
0.3689594566822052,
0.5155827403068542,
-0.04948294535279274,
-0.4536070227622986,
0.32721319794654846,
-0.7055079936981201,
-0.00374549301341176... |
Detailed Instructions: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence... | سند دیگری مبنی بر این گفته وجود ندارد. | 9 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-0.7851510047912598,
0.9346905946731567,
0.04898528382182121,
-0.20762045681476593,
-0.19649487733840942,
-0.5517087578773499,
0.9853150248527527,
0.46651846170425415,
0.6427922248840332,
-0.4529174864292145,
-0.7960344552993774,
0.29400748014450073,
-0.4415754973888397,
0.2103149890899658... |
instruction:
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
question:
Tôi đã uống thuốc kháng sinh.
Nhiễm trùn... | cause
| 9 | NIv2 | task1183_xcopa_commonsense_cause_effect_vi | fs_opt | [
-0.672913670539856,
0.30905455350875854,
-0.3560152053833008,
-0.3893594741821289,
-0.767345666885376,
-0.7738661766052246,
0.34728527069091797,
1.0173594951629639,
0.41703000664711,
-0.5726124048233032,
-0.6135311722755432,
0.8714922666549683,
-0.09667698293924332,
0.01635846495628357,
... |
Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: [[9, 44, 28, -4], [33, -2, -2... | [-44352, 11088, 21120, -9520000, 303600] | 3 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.16205468773841858,
0.42127281427383423,
-0.49018239974975586,
-0.35490745306015015,
-0.1992412507534027,
-0.044667165726423264,
1.376044750213623,
-0.31349897384643555,
-0.4089202284812927,
-0.5427262783050537,
-1.2512006759643555,
0.25564637780189514,
-1.0115056037902832,
-0.1238479018... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Input: Consider Input: Context: Nowiny [nɔˈvinɨ] (German: Derweiler) is a village in the administrative district of... | Output: 2
| 2 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.04919728264212608,
0.5195075869560242,
0.0842670127749443,
-0.004961352329701185,
-0.15324196219444275,
0.07308651506900787,
0.7279073596000671,
-0.14554768800735474,
0.0906192809343338,
-0.37681740522384644,
-0.3971640467643738,
-0.00999516062438488,
-0.7569977045059204,
-0.228396356105... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: My dorm mates were incredible pranksters. Sentence2: One day they filled a thi... | I (myself), Manager, Mates | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.2850622236728668,
0.5487349033355713,
-0.1574532687664032,
-0.4376299977302551,
0.2103644609451294,
-0.6700356006622314,
-0.1755944788455963,
0.43259933590888977,
0.029198015108704567,
0.20868761837482452,
-0.496218740940094,
-0.2768321633338928,
-0.4996303617954254,
-0.1861650347709655... |
Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Input: The mapping software angered users who said it was riddled with inaccuracies, misplaced towns and cities and omitted key landmark... | Apple promises maps app will 'improve' | 3 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.10976458340883255,
0.4324053227901459,
-0.775702714920044,
-0.1875799596309662,
0.6683596968650818,
-0.6335647106170654,
0.26592785120010376,
0.9328634738922119,
-0.4606366753578186,
0.31389230489730835,
-0.2047436535358429,
0.5332421064376831,
-0.35431140661239624,
-0.15341481566429138... |
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... | A man is looking at car parts in a junkyard. | 4 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.9878497123718262,
1.0732440948486328,
-0.04906553402543068,
-0.4020296335220337,
-0.05251602083444595,
-0.43359142541885376,
-0.28090882301330566,
1.161363959312439,
0.43147799372673035,
-0.7039351463317871,
-0.7264458537101746,
-0.5659666061401367,
-0.6859548091888428,
0.23962524533271... |
Definition: 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 output should have the format: word1 relation wor... | automobile MadeOf steel | 2 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.24954292178153992,
0.5066527128219604,
0.09774207323789597,
-0.1195535957813263,
-0.28264909982681274,
-0.749255895614624,
0.6885009407997131,
0.35013070702552795,
0.4749201834201813,
-0.2505705952644348,
-0.6311713457107544,
0.09584606438875198,
-0.664017379283905,
0.283416211605072,
... |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
--------
Question: وتزداد المشكلة إلحاحاً لأن البلدان قادرة على تحقيق المكاسب ف... | To vše zdůrazňuje potřebu nápaditých řešení nerovnosti, která zbytečně a nespravedlivě maří životy těch, kdo toho mají nejméně, zatěžuje zdravotnictví obrovskými náklady a představuje překážku vyšší participace pracovní síly (a v některých zemích brání snaze o zvýšení věku odchodu do důchodu).
| 7 | NIv2 | task1374_newscomm_translation | fs_opt | [
0.7633821368217468,
0.670735239982605,
0.12082652747631073,
-0.22130689024925232,
0.11414511501789093,
0.06201644241809845,
0.9916527271270752,
0.6876953840255737,
0.14785708487033844,
-0.07549993693828583,
-0.8080569505691528,
0.2738102078437805,
-1.3073488473892212,
0.10100255161523819,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Ex Input:
אין יותר דאגות בקשר ללשכוח מהלכים.
Ex Output:
忘れる心配はもう要りません
Ex Input:
כנקודת התחלה לשיחה עם קבוצת TED, חלק ניכר מהבעיה היא טבעו של התחום של ההסכמה המודעת שחולה או בן זוגו חייב לקרוא ולחתום.
Ex Output:
TEDグループと... | しかし赤ん坊がこの腕に置かれた瞬間は驚くべきものでした
| 1 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.5998337268829346,
-0.23070503771305084,
-0.16577744483947754,
0.1384081244468689,
-0.4993044435977936,
0.2083079218864441,
0.7888388633728027,
0.06979554146528244,
0.5233026146888733,
-1.1503140926361084,
-0.206894189119339,
0.08484603464603424,
-0.3234027028083801,
0.41266071796417236,... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Q: The weight is really difficult when it's up above your head.
A: | O peso é bastante difícil quando está acima da cabeça. | 4 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.7590500116348267,
1.1938530206680298,
0.2149902880191803,
-0.9353273510932922,
-0.2861613631248474,
-1.2423031330108643,
0.1973482370376587,
1.3418912887573242,
0.3066537380218506,
-0.3509415090084076,
-0.182297483086586,
0.16423816978931427,
-1.048036813735962,
0.43050312995910645,
0.... |
You will be given a definition of a task first, then some input of the task.
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to ans... | Option A | 1 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.6406010389328003,
0.13356274366378784,
-0.2015652358531952,
0.27623122930526733,
0.30337589979171753,
-0.30274778604507446,
0.152296781539917,
0.9240956902503967,
-0.10869399458169937,
-0.39452874660491943,
-0.6541783809661865,
-0.2195325493812561,
0.6811845898628235,
-1.1578751802444458... |
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 the same order as the internal lists.
[[55, -93, -37, 78... | [86, 73, 3, -13]
| 0 | NIv2 | task207_max_element_lists | fs_opt | [
-0.19623440504074097,
0.003170611569657922,
-0.7891855239868164,
0.18894630670547485,
-0.08697684109210968,
0.24338394403457642,
0.5977818965911865,
0.7676786780357361,
-0.30239254236221313,
0.14885948598384857,
-0.8031758666038513,
0.12300312519073486,
-0.13343460857868195,
-0.05286335200... |
Detailed Instructions: 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: Fo... | WP NN VBD DT NN WDT NN IN NNP CD NN . | 4 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.6757456660270691,
0.32492178678512573,
-0.12879826128482819,
0.21825003623962402,
0.07414174824953079,
-0.845098614692688,
0.9952257871627808,
0.6717938184738159,
-0.6148601174354553,
-0.048531439155340195,
-0.27395927906036377,
0.19407549500465393,
-0.3619610667228699,
0.035865418612957... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Q: W: What's the matter, Bill? You look kind of pale. ... | In another week. | 4 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.37660184502601624,
0.7214627861976624,
-0.1427246332168579,
-0.46357953548431396,
0.07585231214761734,
-0.37584638595581055,
0.3495103120803833,
0.3914896249771118,
0.0383155420422554,
-0.19940774142742157,
-0.8489075303077698,
0.1226072758436203,
0.47890084981918335,
-0.4857157468795776... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
See one example below:
Problem: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution: خوب ، من چیزی ... | اگر تا به حال توجه نکردید ، حال و هوای رسانه های امروز تصویری کاملاٌ بهم ریخته از زندگی و جنسیت ماست. من فکر میکنم این وضعیت در حال تغيير است. | 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.5113622546195984,
0.23201607167720795,
-0.42161867022514343,
0.026513410732150078,
-0.45235785841941833,
-0.19938743114471436,
0.5439326167106628,
0.872120201587677,
-0.4509642720222473,
-0.3062337040901184,
-0.6383070945739746,
0.4583239257335663,
-0.3931339383125305,
-0.10767821222543... |
Given the task definition, example input & output, solve the new input case.
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 - P... | None | 1 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | fs_opt | [
-0.4169086217880249,
0.49881693720817566,
-0.280872106552124,
0.3877747654914856,
-0.015490046702325344,
-0.4747176468372345,
0.8024137020111084,
0.16641268134117126,
0.2585495710372925,
-0.48190462589263916,
-0.5379707217216492,
0.5904598236083984,
0.2960304021835327,
-0.18583187460899353... |
Detailed Instructions: 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... | Original | 8 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.4349490702152252,
1.2514294385910034,
0.16894271969795227,
-0.35482436418533325,
-0.0134355453774333,
-0.2830771803855896,
0.10928013920783997,
0.5190819501876831,
0.2952037751674652,
-0.480032742023468,
-0.77718585729599,
-0.7702083587646484,
-0.9825859665870667,
-0.07243553549051285,
... |
You will be given a definition of a task first, then some input of the task.
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.
T... | True | 1 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.25141650438308716,
0.8525433540344238,
-0.6371419429779053,
0.1600797176361084,
-0.23234915733337402,
-0.01929781585931778,
0.3825620412826538,
0.5490073561668396,
0.49807703495025635,
0.042892277240753174,
0.02384345233440399,
0.06704473495483398,
-0.24486035108566284,
-0.13612034916877... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
One... | Hate Speech | 6 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.43496954441070557,
-0.010236117988824844,
0.5807849764823914,
0.1850963532924652,
0.17044097185134888,
-0.8820050954818726,
-0.41212597489356995,
1.0277104377746582,
0.6276565194129944,
0.4550461173057556,
-0.05495188385248184,
-0.43788304924964905,
-0.6396894454956055,
-0.6049113869667... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Input: Consider Input: ['f', 'C', 'i', 'F', 'H', '8083', '1593', '9631', 'm', 'c'... | Output: 13
| 2 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.01021464541554451,
-0.010891152545809746,
-0.5489931106567383,
-0.36544269323349,
-0.12836973369121552,
-0.6105862259864807,
0.7454602718353271,
0.5922309160232544,
-0.6511750817298889,
0.3854091167449951,
-0.8504587411880493,
0.0569019690155983,
0.058484651148319244,
-0.0234112776815891... |
Detailed Instructions: You are given a statement written in Tamil. 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 .
Q: Statement: புத்தனாம்பட்டி சாலை மாவட்டத் தலைநகர் <MASK>யுடனும், துறையூருடனும் தரைவழிச் சாலை... | திருச்சி | 9 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.2636382281780243,
0.801175594329834,
0.11814312636852264,
-0.28595662117004395,
0.17001032829284668,
-0.30724647641181946,
-0.1936553418636322,
0.6825805902481079,
0.163083016872406,
0.09442884474992752,
-0.35870808362960815,
0.33135709166526794,
0.3380569815635681,
-0.3821582496166229,
... |
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 same digit then an empty list ("[]") should be returned.... | [595, 222] | 3 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.6687029004096985,
0.438463032245636,
-0.07420149445533752,
-0.7882271409034729,
-0.2272527515888214,
0.2303953319787979,
0.9013046026229858,
-0.005152364727109671,
-0.34121328592300415,
0.3976812958717346,
-0.20749685168266296,
0.12826111912727356,
-0.07594102621078491,
-0.0205434206873... |
Definition: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Input: By Ian WestbrookHealth reporter, BBC News The rise in numbers comes as the NHS is running a public consultation into whether England should follow Wales and introduce an opt-out donati... | A record 170 organ donations took place across the UK in January, resulting in more than 400 life-saving transplants. | 2 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
1.2652384042739868,
0.32523852586746216,
-0.3340519666671753,
-0.1779049038887024,
0.9468826055526733,
-0.8418136835098267,
0.4619550406932831,
0.9111086130142212,
-0.589332103729248,
0.35422882437705994,
0.25990408658981323,
0.50641930103302,
-0.4173106849193573,
1.2151739597320557,
-0.... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Input: Consider Input: Sentence 1: Go on, said Mr. Carter, as Tommy showed signs of taking refu... | Output: 4
| 2 | NIv2 | task198_mnli_domain_classification | fs_opt | [
0.010673321783542633,
0.07114918529987335,
0.08524397015571594,
-0.16871529817581177,
0.38940054178237915,
-0.042889147996902466,
0.2779817581176758,
1.0996062755584717,
-0.3146030306816101,
0.06513497978448868,
-0.5438271164894104,
0.01590816304087639,
-0.22264611721038818,
-0.87195658683... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Q: Sentence 1: The second was that we may have diffi... | government | 4 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.9061111807823181,
0.5981954336166382,
0.21155354380607605,
-0.36293184757232666,
-0.1954631209373474,
0.345310240983963,
-0.2434244453907013,
0.8866108655929565,
0.5260457992553711,
0.28309011459350586,
-0.45925942063331604,
-0.506366491317749,
-0.5254824757575989,
-0.36974287033081055,... |
TASK DEFINITION: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
P... | 'I think he has to apologise and retain that passion for his club, but not to cross the line and mock _ the way he did or the way he got the fans to do.
| 8 | NIv2 | task301_record_question_generation | fs_opt | [
0.7523718476295471,
0.20236094295978546,
-0.23857134580612183,
0.2605125904083252,
0.7427555322647095,
0.05962291359901428,
0.8214630484580994,
0.4441203474998474,
-0.6402292251586914,
0.30261683464050293,
-0.07397717237472534,
0.8228998780250549,
-0.8152246475219727,
0.027287833392620087,... |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Valid
****
| 4 | NIv2 | task149_afs_argument_quality_death_penalty | fs_opt | [
0.10178308933973312,
0.4863034784793854,
0.6807297468185425,
0.14038686454296112,
-0.5774908065795898,
-1.828497052192688,
0.657683253288269,
0.19909915328025818,
0.2080962359905243,
0.17671093344688416,
-0.5822035074234009,
-0.3188379406929016,
-0.3973703384399414,
0.23142625391483307,
... |
Instructions: 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 'N... | No | 3 | NIv2 | task227_clariq_classification | zs_opt | [
-0.5218847990036011,
0.10994186997413635,
-0.09232571721076965,
-0.5935119390487671,
0.13315369188785553,
-0.8356252908706665,
0.3004226088523865,
-0.035658713430166245,
0.13873043656349182,
-0.5877629518508911,
0.6379139423370361,
-0.2990402579307556,
-0.4715769290924072,
0.39749255776405... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 29140 | 3 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.20784421265125275,
0.121296726167202,
-0.7908459901809692,
-0.7588401436805725,
-0.24039775133132935,
-0.6118652820587158,
0.3510972857475281,
0.40026846528053284,
-0.6598456501960754,
-0.1865578144788742,
-0.8085388541221619,
0.6265475749969482,
-0.06482765823602676,
0.00963497906923294... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | yes | 6 | NIv2 | task115_help_advice_classification | fs_opt | [
-0.043895237147808075,
0.7495728135108948,
0.30509692430496216,
0.04177429527044296,
0.5163695216178894,
-0.825908899307251,
0.6715183258056641,
0.5457468628883362,
0.3021942377090454,
0.40705740451812744,
-0.4915927052497864,
-0.5000017881393433,
-0.7250605821609497,
-0.015480779111385345... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
One example is below.
Q: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Eng... | Yes | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.26729822158813477,
0.3541100025177002,
0.328876793384552,
0.2918175458908081,
0.15100756287574768,
-1.3902065753936768,
-0.1174052432179451,
0.5175373554229736,
-0.35332515835762024,
-0.09320364147424698,
-0.5324093103408813,
0.16627353429794312,
-0.6055399179458618,
0.257089227437973,
... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
See one example below:
Problem: ['238', 'h', '92', 'U', '2799']
Solution: 238, 92, 2799
Explanation: Here, the numbers in the input list in o... | 5855, 3667, 1991, 2221, 2305, 9201, 557, 4881, 2289, 9813, 8195 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.44160008430480957,
0.07002875208854675,
-0.8127849102020264,
-0.6496332883834839,
-0.05454961583018303,
-0.06372781097888947,
0.4284731149673462,
-0.31787967681884766,
-0.17838400602340698,
0.6517081260681152,
-0.864850640296936,
-0.3303593397140503,
0.21579760313034058,
0.0145462974905... |
Definition: Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that... | cats. | 2 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.8080481886863708,
1.3657687902450562,
-0.17404228448867798,
0.4741602838039398,
-0.2087593525648117,
-0.9411115646362305,
0.018834182992577553,
0.3371756374835968,
-0.3363156318664551,
-0.02784004434943199,
-0.09739919006824493,
0.32513225078582764,
-0.2216387391090393,
0.320164561271667... |
The provided file includes inquiries about restaurants in Spanish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for... | tell me the " american " restaurants .
| 1 | NIv2 | task261_spl_translation_es_en | fs_opt | [
-0.24227911233901978,
0.4736136198043823,
0.20440834760665894,
0.20815180242061615,
0.08818265795707703,
-0.6321696043014526,
0.44939756393432617,
1.2591781616210938,
-0.29038023948669434,
-0.3955721855163574,
0.6154611706733704,
0.4022609293460846,
-0.4526621103286743,
0.2954462766647339,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: The ri... | 6 | 1 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.6240684390068054,
0.23323072493076324,
0.37423714995384216,
-0.6775753498077393,
-0.23685428500175476,
0.3622255325317383,
0.40227895975112915,
0.7170522212982178,
-0.12047079205513,
-0.36593854427337646,
-0.46699923276901245,
-0.28494691848754883,
-0.6312265396118164,
-0.44331780076026... |
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 after the first i elements. i will always have a value less than the length of A.
Ex Input:
2, ['v', 'O', 'z', 'h', 'E', '3743', 'Q', 'X', 'D', '2669', '7465', 'p', '8217', '8801', 'N', '8791', 'J'... | i, J, 855, F, 5719, 1101, 3385, 4541, 717, 2003, a, Q
| 1 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.4972463846206665,
0.07611164450645447,
-0.6406062841415405,
-0.23650619387626648,
-0.48332101106643677,
-0.03911516070365906,
0.48197507858276367,
0.12088440358638763,
-0.642751157283783,
0.05381453037261963,
-0.9397417902946472,
-0.0835816040635109,
0.06386859714984894,
-0.102953180670... |
Instructions: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, hi... | What relationship does the wealthy financier have with the person who may have burgled his home? | 3 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.4929279386997223,
0.4401048421859741,
-0.2745988368988037,
0.2570377290248871,
0.5790209174156189,
0.1268627792596817,
0.5178204774856567,
0.04786045476794243,
0.19359637796878815,
-0.14397001266479492,
-0.31601381301879883,
0.7105539441108704,
-0.13907480239868164,
-0.6897932291030884,
... |
Definition: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question c... | birthday party invitations | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.08694949746131897,
0.6012028455734253,
0.15116764605045319,
-0.3367382884025574,
0.014956223778426647,
-0.21755968034267426,
0.8745856285095215,
0.13453614711761475,
0.305230975151062,
-0.2389518916606903,
-0.004279135726392269,
0.36941447854042053,
0.004464806988835335,
-0.2307820320129... |
Detailed Instructions: 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.
Problem:Although some may like this drink, it will not be a repeat buy for me. 140 calories for an 8+ oz serving is too much when that amo... | Negative | 8 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.1073775589466095,
0.3419950306415558,
0.11087667942047119,
-0.3939135670661926,
0.030790530145168304,
-0.7981287240982056,
0.5696665048599243,
0.9056885838508606,
-0.016100933775305748,
0.6798725128173828,
0.36462604999542236,
-1.1109650135040283,
-0.5331896543502808,
-0.440416395664215... |
instruction:
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following type... | 2.
| 9 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.8543586730957031,
0.08703307062387466,
-0.9466647505760193,
0.36291101574897766,
0.6963571906089783,
-0.24793000519275665,
1.447096824645996,
0.7233219742774963,
-0.06929518282413483,
0.5880484580993652,
-0.39634186029434204,
0.9346174597740173,
-0.9189001321792603,
0.19433501362800598,
... |
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